Fitbit-based interventions for healthy lifestyle outcomes: systematic review and meta-analysis
Open accessPublished version of a preprint
Abstract
Background: Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent, posing formidable challenges in efforts to improve cardiovascular health. While traditional interventions to promote healthy lifestyles are both costly and effective, wearable trackers, especially Fitbit devices, can provide a low-cost alternative that may effectively help large numbers of individuals become more physically fit and thereby maintain a good health status. Objective: The objectives of this meta-analysis are (1) to assess the effectiveness of interventions that incorporate a Fitbit device for healthy lifestyle outcomes (eg, steps, moderate-to-vigorous physical activity, and weight) and (2) to identify which additional intervention components or study characteristics are the most effective at improving healthy lifestyle outcomes. Methods: A systematic review was conducted, searching the following databases from 2007 to 2019: MEDLINE, EMBASE, CINAHL, and CENTRAL (Cochrane). Studies were included if (1) they were randomized controlled trials, (2) the intervention involved the use of a Fitbit device, and (3) the reported outcomes were related to healthy lifestyles. The main outcome measures were related to physical activity, sedentary behavior, and weight. All the studies were assessed for risk of bias using Cochrane criteria. A random-effects meta-analysis was conducted to estimate the treatment effect of interventions that included a Fitbit device compared with a control group. We also conducted subgroup analysis and fuzzy-set qualitative comparative analysis (fsQCA) to further disentangle the effects of intervention components. Results: Our final sample comprised 41 articles reporting the results of 37 studies. For Fitbit-based interventions, we found a statistically significant increase in daily step count (mean difference [MD] 950.54, 95% CI 475.89-1425.18; P<.001) and moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001), a significant decrease in weight (MD −1.48, 95% CI −2.81 to −0.14; P=.03), and a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD −10.62, 95% CI −35.50 to 14.27; P=.40 and standardized MD −0.11, 95% CI −0.48 to 0.26; P=.56, respectively). In general, the included studies were at low risk for bias, except for performance bias. Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component. Conclusions: The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight. Fitbit devices may be useful to health professionals for patient monitoring and support. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450
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Written from the paper’s full text.
TL;DR
This systematic review and meta-analysis of 41 articles reporting 37 RCTs found that Fitbit-based interventions significantly increased daily steps and moderate-to-vigorous physical activity (MVPA) and reduced weight, but did not significantly reduce sedentary behavior. Goal setting was the most important complementary intervention component in subgroup and fsQCA analyses.
Key findings
- Daily step count increased significantly: mean difference (MD) 950.54, 95% CI 475.89-1425.18; P<.001; 16 studies in meta-analysis, with high heterogeneity (I2=51%).
- MVPA increased significantly: MD 6.16 min/day, 95% CI 2.80-9.51; P<.001; I2=62%.
- Weight decreased significantly: MD −1.48 kg, 95% CI −2.81 to −0.14; P=.03; I2=74%.
- Sedentary behavior did not decrease significantly: objective MD −10.62 min/day, 95% CI −35.50 to 14.27; P=.40; self-reported standardized MD −0.11, 95% CI −0.48 to 0.26; P=.56. Subgroup and fsQCA analyses indicated that setting activity goals was the most important intervention component; theory-based interventions had a significant impact on MVPA (P<.001), and subjects’ health condition had a significant impact on weight (P=.009).
Methods
- Systematic review and random-effects meta-analysis following PRISMA, registered in PROSPERO (CRD42019145450); databases MEDLINE, EMBASE, CINAHL, and CENTRAL were searched on July 13, 2019, from 2007 to 2019.
- Included randomized controlled trials involving a Fitbit device and reporting healthy lifestyle outcomes; final sample comprised 41 articles reporting 37 RCTs, with 3779 participants (mean 102 per study, median 68, range 16-800).
- Meta-analyses used Review Manager for daily steps, MVPA, sedentary behavior, and weight; subgroup analysis and fuzzy-set qualitative comparative analysis (fsQCA) explored heterogeneity and intervention components; risk of bias assessed with Cochrane criteria.
Limitations
- The paper states it could not assess the effectiveness of the interventions on all reported outcomes, limiting analyses to physical activity outcomes, sedentary behaviors, and weight; it also could not assess the Fitbit device itself because of intervention complexity and poor device description, and could not assess behavioral change techniques because of high heterogeneity and lack of information in included studies.
- The paper states included studies involved very heterogeneous interventions, making assessments of Fitbit intervention effects more difficult, and notes the evidence is mostly representative for adults and older subjects, with a lack of studies in youth and adolescents.
- Evident in the text: meta-analyses showed high heterogeneity for steps (I2=51%), MVPA (I2=62%), weight (I2=74%), and self-reported sedentary behavior (I2=69%); performance bias was high for all studies because blinding was not feasible, and the small number of sedentary-behavior studies precluded subgroup analysis.
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- Findingown data
Fitbit-based interventions significantly increase moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001).
“and moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001)”
Quote in the paperSubstantial claim - Findingown data
Fitbit-based interventions have a nonsignificant decrease in self-reported sedentary behavior (SMD −0.11, 95% CI −0.48 to 0.26; P=.56).
“a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD −10.62, 95% CI −35.50 to 14.27; P=.40 and standardized MD −0.11, 95% CI −0.48 to 0.26; P=.56, respectively)”
Quote in the paperNot a substantial claim - Findingown data
Fitbit-based interventions significantly decrease weight (MD −1.48, 95% CI −2.81 to −0.14; P=.03).
“a significant decrease in weight (MD −1.48, 95% CI −2.81 to −0.14; P=.03)”
Quote in the paperSubstantial claim - Findingown data
Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component.
“Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component.”
Quote in the paperSubstantial claim - Findingown data
Fitbit-based interventions significantly increase daily step count (MD 950.54, 95% CI 475.89-1425.18; P<.001).
“For Fitbit-based interventions, we found a statistically significant increase in daily step count (mean difference [MD] 950.54, 95% CI 475.89-1425.18; P<.001)”
Quote in the paperSubstantial claim
- Findingown data
Fitbit-based interventions have a nonsignificant decrease in objectively assessed sedentary behavior (MD −10.62, 95% CI −35.50 to 14.27; P=.40).
“a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD −10.62, 95% CI −35.50 to 14.27; P=.40 and standardized MD −0.11, 95% CI −0.48 to 0.26; P=.56, respectively)”
Quote in the paperNot a substantial claim - Findingown data
There was high heterogeneity between study results in terms of the magnitude of the effects for steps (I2=51%).
“There was high heterogeneity between study results in terms of the magnitude of the effects (I2=51%).”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed significant improvements in MVPA among nontheory-based interventions (P<.001).
“Subgroup analyses showed significant (P<.001) improvements in MVPA among nontheory-based interventions.”
Quote in the paperSubstantial claim - Findingnone given
The current evidence is mostly representative for adults and older subjects.
“However, the current evidence is mostly representative for adults and older subjects.”
Quote in the paperNot a substantial claim - Findingown data
The majority of studies (35/37, 95%) included at least one interventional arm involving a comprehensive program for improving PA and facilitating weight loss.
“Four studies included at least one interventional arm involving only the use of a Fitbit device [77,79,81,91], while the majority (35/37, 95%) included at least one interventional arm involving a comprehensive program for improving PA and facilitating weight loss.”
Quote in the paperNot a substantial claim - Findingcitation
Most studies included some form of PA or other healthy lifestyle education component in the control group.
“Most studies included some form of PA or other healthy lifestyle education component [49,67,68,70,72,73,82,84,86,87,90, 99,103].”
Quote in the paperNot a substantial claim - Findingown data
Four studies included at least one interventional arm involving only the use of a Fitbit device.
“Four studies included at least one interventional arm involving only the use of a Fitbit device [77,79,81,91], while the majority (35/37, 95%) included at least one interventional arm involving a comprehensive program for improving PA and facilitating weight loss.”
Quote in the paperNot a substantial claim - Findingown data
Sedentary behavior was measured objectively, except in two studies that utilized a self-reported questionnaire to obtain daily sitting time or sedentary behavior.
“Sedentary behavior was measured objectively, except in two studies [82,104] that utilized a self-reported questionnaire to obtain daily sitting time or sedentary behavior.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
For objective measures, there was a nonsignificant decrease in sedentary behavior following the intervention compared with the control comparator (MD −10.62, 95% CI −35.50 to 14.27; P=.40).
“For objective measures, there was a nonsignificant decrease in sedentary behavior following the intervention compared with the control comparator (MD −10.62, 95% CI −35.50 to 14.27; P=.40; Figure 7) across most of the studies in the meta-analysis (3/4, 75%), with a low level of heterogeneity (I2=0%).”
Quote in the paperNot a substantial claim - Findingown data
Heterogeneity for weight was high (I2=74%).
“Heterogeneity was high (I2=74%).”
Quote in the paperNot a substantial claim - Findingown data
The intervention components were highly heterogeneous.
“The intervention components were highly heterogeneous (Multimedia Appendix 4).”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that subjects' health condition did not have a significant impact on MVPA (P=.29).
“The subgroup analyses showed that only theory-based interventions had a significant impact on MVPA (P<.001), in contrast to the findings for length of follow-up and subjects’ health condition (P=.28 and P=.29, respectively).”
Quote in the paperNot a substantial claim - Findingown data
For self-reported measures, there was a nonsignificant decrease in sedentary behavior following the intervention compared with the control comparator (SMD −0.11, 95% CI −0.48 to 0.26; P=.56).
“For self-reported measures, there was a nonsignificant decrease in sedentary behavior following the intervention compared with the control comparator (SMD −0.11, 95% CI −0.48 to 0.26; P=.56; Figure 7), with a high level of heterogeneity (I2=69%).”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that theory-based interventions did not have a significant impact on the number of steps (P=.86).
“Subgroup analyses showed that the length of the intervention, the subjects’ health condition, and theory-based interventions did not have significant impacts on the number of steps (P=.97, P=.32, and P=.86, respectively).”
Quote in the paperNot a substantial claim - Findingown data
There was a low level of heterogeneity for objective sedentary behavior measures (I2=0%).
“with a low level of heterogeneity (I2=0%)”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that length of follow-up did not have a significant impact on weight (P=.26).
“The subgroup analyses showed that only subjects’ health condition had a significant impact on weight (P=.009), in contrast to the findings for length of follow-up and theory-based interventions (P=.26 and P=.31, respectively).”
Quote in the paperNot a substantial claim - Findingown data
There was a high level of heterogeneity for self-reported sedentary behavior measures (I2=69%).
“with a high level of heterogeneity (I2=69%)”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that the length of the intervention did not have a significant impact on the number of steps (P=.97).
“Subgroup analyses showed that the length of the intervention, the subjects’ health condition, and theory-based interventions did not have significant impacts on the number of steps (P=.97, P=.32, and P=.86, respectively).”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that the subjects' health condition did not have a significant impact on the number of steps (P=.32).
“Subgroup analyses showed that the length of the intervention, the subjects’ health condition, and theory-based interventions did not have significant impacts on the number of steps (P=.97, P=.32, and P=.86, respectively).”
Quote in the paperNot a substantial claim - Findingown data
The increase in daily steps was observed across most of the studies in the meta-analysis (13/16, 81%).
“across most of the studies in the meta-analysis (13/16, 81%)”
Quote in the paperNot a substantial claim - Findingcitation
Three studies showed a decrease in the number of steps.
“Three studies showed a decrease in the number of steps [85,99,103].”
Quote in the paperNot a substantial claim0 of 3 sources checked - Findingown data
The study results for MVPA featured high heterogeneity (I2=62%).
“The study results featured high heterogeneity (I2=62%).”
Quote in the paperNot a substantial claim - Findingown data
The nonsignificant decrease in objectively measured sedentary behavior was observed across most of the studies in the meta-analysis (3/4, 75%).
“across most of the studies in the meta-analysis (3/4, 75%)”
Quote in the paperNot a substantial claim - Findingown data
Most studies (21/37, 57%) reported that their participants had a particular condition or were at risk.
“Concerning the main characteristics of the targeted population, most studies (21/37, 57%) reported that their participants had a particular condition or were at risk.”
Quote in the paperNot a substantial claim - Findingown data
There was a statistically significant increase in minutes per day spent on MVPA in the Fitbit-based interventions compared with the comparison groups (MD 6.16, 95% CI 2.80-9.51; P<.001).
“There was a statistically significant increase in minutes per day spent on MVPA in the Fitbit-based interventions compared with the comparison groups (MD 6.16, 95% CI 2.80-9.51; P<.001; Figure 5).”
Quote in the paperSubstantial claim - Findingown data
Subgroup analyses showed that theory-based interventions had a significant impact on MVPA (P<.001).
“The subgroup analyses showed that only theory-based interventions had a significant impact on MVPA (P<.001), in contrast to the findings for length of follow-up and subjects’ health condition (P=.28 and P=.29, respectively).”
Quote in the paperSubstantial claim - Findingown data
Subgroup analyses showed that subjects' health condition had a significant impact on weight (P=.009).
“The subgroup analyses showed that only subjects’ health condition had a significant impact on weight (P=.009), in contrast to the findings for length of follow-up and theory-based interventions (P=.26 and P=.31, respectively).”
Quote in the paperNot a substantial claim - Findingown data
Only one study focused specifically on healthy subjects.
“Only one study focused specifically on healthy subjects [81].”
Quote in the paperNot a substantial claim - Findingown data
When studies were categorized by reporting method, there was no evidence of clinically or statistically significant differences between studies that reported postintervention data and those that reported mean change from baseline data for steps (P=.86).
“When we categorized studies by reporting method, we found no evidence of clinically or statistically significant (P=.86) differences between studies that reported postintervention data and those that reported mean change from baseline data (Multimedia Appendix 8).”
Quote in the paperNot a substantial claim - Findingown data
When studies were categorized by reporting method, there was no evidence of clinically or statistically significant differences between studies that reported postintervention data and those that reported mean change from baseline data for weight (P=.30).
“When we categorized studies by reporting method, we found no evidence of clinically or statistically significant (P=.30) differences between studies that reported postintervention data and those that reported mean change from baseline data (Multimedia Appendix 8).”
Quote in the paperNot a substantial claim - Findingown data
When studies were categorized by reporting method, there was no evidence of clinically or statistically significant differences between studies that reported postintervention data and those that reported mean change from baseline data for MVPA (P=.93).
“When we categorized studies by reporting method, we found no evidence of clinically or statistically significant (P=.93) differences between studies that reported postintervention data and those that reported mean change from baseline data (Multimedia Appendix 8).”
Quote in the paperNot a substantial claim - Findingown data
Subgroup analyses showed that length of follow-up did not have a significant impact on MVPA (P=.28).
“The subgroup analyses showed that only theory-based interventions had a significant impact on MVPA (P<.001), in contrast to the findings for length of follow-up and subjects’ health condition (P=.28 and P=.29, respectively).”
Quote in the paperNot a substantial claim - Findingown data
In all but one configuration, goal setting was a condition for better outcomes, with or without either messaging or counselling.
“In fact, in all but one configuration, goal setting was a condition for better outcomes, with or without either messaging or counselling.”
Quote in the paperSubstantial claim - Findingown data
A random-effects meta-analysis using MD performed on 11 studies showed a significant decrease in weight in the Fitbit-based interventions compared with the control groups (MD −1.48, 95% CI −2.81 to −0.14; P=.03).
“A random-effects meta-analysis using MD performed on the 11 studies showed a significant decrease in weight in the Fitbit-based interventions compared with the control groups (MD −1.48, 95% CI −2.81 to −0.14; P=.03; Figure 6).”
Quote in the paperSubstantial claim - Findingown data
Subgroup analyses showed that theory-based interventions did not have a significant impact on weight (P=.31).
“The subgroup analyses showed that only subjects’ health condition had a significant impact on weight (P=.009), in contrast to the findings for length of follow-up and theory-based interventions (P=.26 and P=.31, respectively).”
Quote in the paperNot a substantial claim - Findingnone given
Most of the interventions did not rely on theory.
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
Quote in the paperNot a substantial claim - Findingown data
Fitbit-based interventions were associated with a statistically significant increase in daily steps compared with control groups (MD 950.54, 95% CI 475.89-1425.18; P<.001).
“On average, Fitbit-based interventions were associated with a statistically significant increase in the number of daily steps when compared with the control groups (MD 950.54, 95% CI 475.89-1425.18; P<.001; Figure 4) across most of the studies in the meta-analysis (13/16, 81%).”
Quote in the paperSubstantial claim - Findingnone given
The included studies encompassed mainly adult populations with pre-existing chronic conditions.
“The included studies encompassed mainly adult populations with pre-existing chronic conditions.”
Quote in the paperNot a substantial claim - Interpretationown data
The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight.
“The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight.”
Quote in the paperSubstantial claim - Premisecitation
Self-reported outcomes have a higher risk of over-estimation.
“We analyzed objective and self-reported measures separately because self-reported outcomes have a higher risk of over-estimation [58,59].”
Quote in the paperSubstantial claim0 of 2 sources checked - Study design and conductown data
Publication bias was not detected for weight.
“Publication bias was not detected for this outcome (Multimedia Appendix 9).”
Quote in the paperNot a substantial claim - Study design and conductown data
Management of incomplete outcome data was assessed as high risk of bias in four studies.
“The management of incomplete outcome data was assessed as being at high risk of bias in four studies [49,73,90,95].”
Quote in the paperNot a substantial claim0 of 4 sources checked - Interpretationreasoning
There is complex causality at play, whereby individual and study characteristics are also important criteria to consider when evaluating the effectiveness of an intervention.
“In other words, there is complex causality at play, whereby individual and study characteristics are also important criteria to consider when evaluating the effectiveness of an intervention.”
Quote in the paperNot a substantial claim - Interpretationreasoning
When combining messaging and counselling with other conditions, they appear to be outweighed by other factors, such as education and subjects' health conditions.
“When combining messaging and counselling with other conditions, it appears that they are outweighed by other factors, such as education and subjects’ health conditions.”
Quote in the paperSubstantial claim - Interpretationown data
Better results were achieved with a combination of study and intervention components as compared to intervention components alone.
“Moreover, we observed that better results were achieved with a combination of study and intervention components as compared to intervention components alone.”
Quote in the paperSubstantial claim - Study design and conductown data
A sensitivity analysis excluding the study by Ashe et al, in which there was a weight difference between the control and intervention groups at baseline, showed similar results (P=.86).
“A sensitivity analysis excluding the study by Ashe et al. [68], in which there was a weight difference between the control and intervention groups at baseline, showed similar results (P=.86).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
Not checked in the free run.
- Study design and conductown data
A sensitivity analysis excluding the study by Van Blarigan et al, in which there was an imbalance in MVPA between the control and intervention groups at baseline, showed no significant impact on the overall effect size (P=.92).
“A sensitivity analysis excluding the study by Van Blarigan et al. [103], in which there was an imbalance in MVPA between the control and intervention groups at baseline, showed no significant (P=.92) impact on the overall effect size.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] source
Not checked in the free run.
- Study design and conductreasoning
Blinding of participants and personnel was assessed as high risk of bias for all included studies.
“The blinding of participants and personnel was assessed as being at high risk of bias for all the studies because the nature of the intervention and control conditions rendered blinding not feasible.”
Quote in the paperNot a substantial claim- Rests on an assumption: The nature of the intervention and control conditions rendered blinding not feasible.
- Interpretationreasoning
Studies that do not adequately consider study characteristics and participant profiles may produce invalid conclusions regarding the effectiveness of an intervention.
“This means that studies that do not adequately consider study characteristics and participant profiles may produce invalid conclusions regarding the effectiveness of an intervention.”
Quote in the paperSubstantial claim - Study design and conductown data
A sensitivity analysis excluding the study by Van Blarigan et al, in which there was an imbalance in steps between the control and intervention groups at baseline, showed similar results (P=.87).
“A sensitivity analysis excluding the study by Van Blarigan et al [103], in which there was an imbalance in steps between the control and intervention groups at baseline, showed similar results (P=.87).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] source
Not checked in the free run.
- Study design and conductown data
There was no evidence of publication bias for MVPA.
“There was no evidence of publication bias (Multimedia Appendix 9).”
Quote in the paperNot a substantial claim - Study design and conductown data
Among the 37 included studies, random sequence generation was assessed as low risk of bias in 23 (62%) and unclear in 14 (38%).
“Random sequence generation was assessed as being at low risk of bias (23/37, 62%) or unclear (14/37, 38%) in the included studies.”
Quote in the paperNot a substantial claim - Study design and conductnone given
Selective reporting was assessed as low risk of bias for all included studies.
“Selective reporting was assessed as being at low risk of bias for all the included studies.”
Quote in the paperNot a substantial claim - Study design and conductown data
Funnel plot analysis showed no evidence of publication bias for steps.
“Funnel plot analysis showed no evidence of publication bias (Multimedia Appendix 9).”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The authors could not assess the effectiveness of the Fitbit device itself on healthy lifestyle outcomes due to the high complexity and variety of the interventions and the number of studies that did not describe the Fitbit artifact.
“Second, we could not assess the effectiveness of the Fitbit device itself on healthy lifestyle outcomes. This was due to (1) the high complexity and variety of the interventions and (2) the number of studies that did not describe the Fitbit artifact.”
Quote in the paperSubstantial claim - Interpretationown data
Goal setting is an effective complementary interventional component over the short and long term.
“In addition to these activity trackers, we showed that goal setting is an effective complementary interventional component over the short and long term.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The authors could not assess the effects of the different behavioral change techniques incorporated in the Fitbit devices as proposed in their protocol owing to high heterogeneity and the lack of information reported in the included studies.
“Finally, we could not assess the effects of the different behavioral change techniques incorporated in the Fitbit devices as proposed in our protocol owing to high heterogeneity and the lack of information reported in the included studies.”
Quote in the paperSubstantial claim - Premisecitation
Each device incorporates different behavioral change techniques that are linked to one or several features of the wearable.
“As shown by Lyons et al [118] and Mercer et al [119], each device incorporates different behavioral change techniques that are linked to one or several features of the wearable, so providing a description of the features of the device and the associated app (if used) is essential for future research.”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
The use of meta-analysis tools and fsQCA allowed the authors to interpret the combined effects of Fitbit devices with other interventional components and subject characteristics.
“the use of meta-analysis tools and fsQCA allowed us to interpret the combined effects of Fitbit devices with the other interventional components and subject characteristics.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 15
- May combine two claims. 25
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe final sample comprised 41 articles reporting the results of 37 studies.
“Our final sample comprised 41 articles reporting the results of 37 studies.”
- Also stated in: § Study Selection · plain
“In total, 41 articles were included, reporting the results of 37 RCTs (Figure 1) [48,49,57,67-104].”
Quote in the paperNot a substantial claim- Also stated in: § Study Selection · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataVirtually all studies focused on individuals over the age of 18 years (36/37, 97%).
“Virtually all studies focused on individuals over the age of 18 years (36/37, 97%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the presence nor the absence of goal setting improved PA; instead, the absence of messaging and/or absence of counselling were the most relevant conditions for improving PA.
“Interestingly, neither the presence nor the absence of goal setting improved PA. Instead, the absence of messaging and/or absence of counselling were the most relevant conditions for improving PA.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere are multiple paths to better outcomes for individuals with pre-existing conditions, but the most effective one centers on theory-based interventions with goal-setting but without messaging (H1A).
“Thus, there are multiple paths to better outcomes for individuals with pre-existing conditions, but the most effective one (albeit for the short- or long-term interventions) centers on theory-based interventions with goal-setting but without messaging (H1A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTable 2 suggests that there are more paths to success for people with pre-existing conditions and none for people without pre-existing conditions who receive long-term interventions.
“Table 2 suggests that there are more paths to success for people with pre-existing conditions and none for people without pre-existing conditions who receive long-term interventions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe configuration with all the intervention components (H3) is not the most effective, having the lowest raw coverage.
“The configuration with all the intervention components (H3) is not the most effective (it has the lowest raw coverage).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn addition to the wearable device, other intervention components included the use of an app or a website, goal setting and prescription, messaging, education, counseling and feedback, social support, financial incentives, and the provision of another device.
“In addition to the wearable device, other intervention components included the use of an app or a website (sometimes different from the app provided by the device manufacturer), goal setting and prescription, messaging, education, counseling and feedback, social support, financial incentives, and the provision of another device (Multimedia Appendix 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA total of 3779 participants were included, with a mean of 102 participants per study (median 68) and range from 16 to 800 participants per study.
“A total of 3779 participants were included, with a mean of 102 participants per study (median 68) and range from 16 [98] to 800 participants [82] per study.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe available evidence was primarily based on studies that reported PA outcomes, such as steps and MVPA, mostly measured with an actigraph.
“To summarize, the available evidence was primarily based on studies that reported PA outcomes, such as steps and MVPA, mostly measured with an actigraph.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe follow-up duration ranged from 1 week to 1 year, with most studies lasting less than 5 months (20/37, 54%).
“The follow-up duration ranged from 1 week [79] to 1 year [82,90,95,101], with most studies lasting less than 5 months (20/37, 54%).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationOverall solution consistency for the fsQCA was 0.819, which is above the usually acceptable level of 0.80.
“In our case, overall consistency was 0.819, which is above the usually acceptable level of 0.80 [106].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [106] Ragin, C, 2008, Redesigning Social Inquiry – Fuzzy Sets and Beyond source
Not checked in the free run.
May combine two claims.
Findingown dataThe studies in the sample rarely described the wearable and ignored its specific features.
“Indeed, the studies in our sample rarely described the wearable and ignored its specific features.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAbstracts and full-text articles were examined independently by two authors, with disagreements resolved through discussion with a third author.
“Second, all abstracts and full-text articles were examined independently by two authors (MR and GW). Any disagreements in the selection process were resolved through discussion with a third author (GP or SK).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe protocol for this review was registered in PROSPERO (CRD42019145450).
“The protocol for this review was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019145450).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTwo authors assessed each study for risk of bias using the Cochrane Collaboration seven domain-based criteria.
“Two authors (MR and SK) assessed each study for risk of bias using the Cochrane Collaboration seven domain-based criteria as follows [53,54]:”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [53] RevMan 5Cochrane Community2020-10-02https://community.cochrane.org/help/tools-and-software/revman-5/revman-5-download
Not checked in the free run.
- cites [54] Higgins, J, 2019, Cochrane Handbook for Systematic Reviews of interventions source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThere is some evidence that theory-based interventions are more effective.
“We considered these subgroup analyses because there is some evidence that theory-based interventions are more effective [60-62]”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Study design and conductreasoningStudies with multiple intervention groups were entered once in the meta-analysis to avoid double counting the control group.
“Studies that included multiple intervention groups (eg, group A: Fitbit alone; group B: Fitbit + text messages) were entered once in the meta-analysis to avoid double counting the control group.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningFitbit devices may be useful to health professionals for patient monitoring and support.
“Fitbit devices may be useful to health professionals for patient monitoring and support.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationObjective and self-reported measures were analyzed separately because self-reported outcomes have a higher risk of over-estimation.
“We analyzed objective and self-reported measures separately because self-reported outcomes have a higher risk of over-estimation [58,59].”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo authors independently extracted data from each included study, with discrepancies resolved through discussion and a third author.
“Two authors (MR and GW) independently extracted data from each of the included studies. Discrepancies were resolved through discussion and meetings with a third author (SK).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe review was conducted and reported following PRISMA guidelines.
“We conducted and reported this review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [51,52].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Study design and conductnone givenThe included studies were generally at low risk for bias, except for performance bias.
“In general, the included studies were at low risk for bias, except for performance bias.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAmong the 37 included studies, allocation concealment was assessed as low risk of bias in 20 (54.05%) and unclear in 17 (45.95%).
“Allocation concealment was assessed as being at low risk of bias (20/37, 54.05%) or unclear (17/37, 45.95%) in the included studies.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationBlinding of outcome assessment was assessed as high risk of bias in two studies because of subjective measures and because the authors clearly mentioned that it was an unblinded clinical trial.
“This was assessed as being at high risk of bias in two studies because of the use of subjective measures [104] and because the authors clearly mentioned that it was an unblinded clinical trial [90].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataBoth theory- and nontheory-based interventions contributed, but this factor depends on specific conditions in order to lead to effective interventions.
“We found that both theory- and nontheory-based interventions contributed, but it would appear that this factor depends on specific conditions in order to lead to effective interventions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataGiven the small sample size, no subgroup analysis could be conducted for sedentary behaviors.
“Given the small sample size, no subgroup analysis could be conducted.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataTwo studies were assessed as high risk for other bias because of conflicts of interest and significant differences between groups at baseline.
“Finally, two studies were assessed as having a high risk for other bias because of conflicts of interest declared by the authors [78] and significant differences between the groups at baseline [77].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationThese results are in line with prior reviews on wearables that showed no change in sedentary behaviors and an improvement in PA outcomes and weight loss.
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
Quote in the paperNot a substantial claim0 of 10 sources checked- cites [16] source
Not checked in the free run.
- cites [17] source
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- cites [18] source
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- cites [28] source
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- cites [30] source
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- cites [31] source
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- cites [32] source
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- cites [35] source
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- cites [36] source
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- cites [107] source
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May combine two claims.
Interpretationown dataGoal setting was the most promising intervention component, whereas messaging seemed to be mostly ineffective in complex interventions.
“Furthermore, we found that goal setting was the most promising intervention component, whereas messaging seemed to be mostly ineffective in complex interventions.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe length of an intervention does not appear to be relevant, because it was not significant in the subgroup analysis and the most dominant configuration (H1A) was not affected by this factor.
“Finally, the length of an intervention does not appear to be relevant, because it was not significant in the subgroup analysis (P=.97 for steps, P=.28 for MVPA, and P=.26 for weight), and the most dominant configuration (H1A) was not affected by this factor.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAlthough the findings were not significant in all the RCTs, short-term interventions utilizing a Fitbit device generally resulted in improvements in terms of a healthy lifestyle.
“Although the findings were not significant in all the RCTs, short-term interventions utilizing a Fitbit device generally resulted in improvements in terms of a healthy lifestyle.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOnly the social interaction and data management features of activity trackers help improve well-being outcomes.
“This study suggests that only the social interaction and data management features of activity trackers help improve well-being outcomes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [120] source
Not checked in the free run.
May combine two claims.
Interpretationown dataFitbit devices, included either as the primary component of an intervention or as part of a more comprehensive and complex intervention, have the potential to improve healthy lifestyle behaviors and, in particular, PA.
“Fitbit devices, included either as the primary component of an intervention or as part of a more comprehensive and complex intervention, have the potential to improve healthy lifestyle behaviors and, in particular, PA.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe studies in our sample involved very heterogenous interventions, rendering assessments of the effects of Fitbit interventions more difficult.
“Despite this, and much like other reviews, the studies in our sample involved very heterogenous interventions, rendering assessments of the effects of Fitbit interventions more difficult.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationJames et al found that each set of features does not impact health outcomes equally.
“Consideration of the features of these devices is also important because James et al [120] found that each set of features does not impact health outcomes equally.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [120] source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningUsing these two methodologies enabled the authors to provide a fine-grained picture of the effectiveness of Fitbit-based interventions.
“Using these two methodologies enabled us to provide a fine-grained picture of the effectiveness of Fitbit-based interventions.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe authors could not assess the effectiveness of the interventions on each outcome; they limited their analyses to PA outcomes, sedentary behaviors, and weight.
“First, even though we included a large range of outcomes, we could not assess the effectiveness of the interventions on each of them. Rather, we limited our analyses to PA outcomes, sedentary behaviors, and weight.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationA thorough systematic and transparent methodology was followed.
“However, a thorough systematic and transparent methodology was followed [115,116], and the use of meta-analysis tools and fsQCA allowed us to interpret the combined effects of Fitbit devices with the other interventional components and subject characteristics.”
Quote in the paperSubstantial claim0 of 2 sources checked
The authors state this as an assumption.
The treatment effect was influenced by (1) a theoretically grounded treatment, (2) the duration of the treatment, and/or (3) the subject’s health condition.
“We assumed that the treatment effect was influenced by (1) a theoretically grounded treatment, (2) the duration of the treatment, and/or (3) the subject’s health condition.”
The paper relies on this without support.
The nature of the intervention and control conditions rendered blinding not feasible.
“because the nature of the intervention and control conditions rendered blinding not feasible”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
For bodyweight, two meta-analyses of consumer activity-tracker interventions reported overall weight loss of -1.5 kg (95% CI -2.81 to -0.14) to -1.7 kg (-3.03 to -0.28), whereas two meta-analyses of pedometer interventions reported weight loss of -0.7 kg (95% CI -1.12 to -0.17) to -1.3 kg (-1.85 to -0.70).
“For bodyweight, two meta-analyses 46,63 of consumer activitytracker interventions reported an overall weight loss of -1•5 kg (95% CI -2•81 to -0•14) to -1•7 kg (-3•03 to -0•28), whereas two meta-analyses 11,61 of pedometer interventions reported weight loss of -0•7 kg (95% CI -1•12 to -0•17) to -1•3 kg (-1•85 to -0•70; appendix p 37).”
From Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. (2022) · cites this paper as [63]
For step count mean differences, Ringeval and colleagues of consumer activity-tracker-based interventions reported an increase of 951 daily steps (95% CI 476 to 1425), whereas two meta-analyses of pedometer-based interventions reported increases of 1822 (95% CI 751 to 2894) to 2491 (1098 to 3885) daily steps.
“Three other metaanalyses provided mean-difference data for step count; the meta-analysis by Ringeval and colleagues 63 of consumer activity-tracker-based interventions reported an increase of 951 daily steps (95% CI 476 to 1425), whereas two meta-analyses of pedometer-based interventions reported increases of 1822 (95% CI 751 to 2894) 60 to 2491 (1098 to 3885) 10 daily steps (appendix p 35).”
From Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. (2022) · cites this paper as [63]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Sedentary-behavior study count does not match its citations
MinorThe text says 10 studies reported sedentary-behavior outcomes, but the accompanying list contains only nine study references.
“10 reported an outcome related to sedentary behaviors”
“[57,68,82,87,89,93,98,103,104]”
Sample-size summary conflicts with the reported range
MinorThe summary says the included studies had fewer than 100 subjects, but the reported range extends to 800 participants.
“the included studies had sample sizes of less than 100 adult subjects”
“range from 16 [98] to 800 participants [82] per study”
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MethodCochrane Handbook for Systematic Reviews of Interventions
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The pandemic of physical inactivity: global action for public health
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“Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent and pose formidable challenges worldwide [1-4].”
BackgroundFit Yourself and Take Your Lungs to Heart
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Analysing Data and Undertaking Meta‐Analyses
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Assessing risk of bias in a randomized trial
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“These public health problems are associated with mental health problems, cardiovascular diseases, and shorter life expectancies [5-8].”
BackgroundThe Rise of Consumer Health Wearables: Promises and Barriers
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Systematic review of the validity and reliability of consumer-wearable activity trackers
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“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultBhaskaran, K., dos-Santos-Silva, I., Leon, D. A., Douglas, I. J., & Smeeth, L. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30288-2 · Cited by 1,228 · cited 1× · see citing works
“These public health problems are associated with mental health problems, cardiovascular diseases, and shorter life expectancies [5-8].”
BackgroundEvidence-based intervention in physical activity: lessons from around the world
Heath, G. W., Parra, D. C., Sarmiento, O. L., Andersen, L. B., Owen, N., Goenka, S., Montes, F., & Brownson, R. C. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60816-2 · Cited by 1,199 · cited 1× · see citing works
“Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent and pose formidable challenges worldwide [1-4].”
BackgroundProgress in physical activity over the Olympic quadrennium
Sallis, J. F., Bull, F., Guthold, R., Heath, G. W., Inoue, S., Kelly, P., Oyeyemi, A. L., Perez, L. G., Richards, J., & Hallal, P. C. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30581-5 · Cited by 935 · cited 1× · see citing works
“This trend toward physical inactivity affects 23% of the world’s population [12], especially adolescents (81%) and adults (23%), according to the World Health Organization [13].”
BackgroundMaintenance of Lost Weight and Long-Term Management of Obesity
Hall, K. D., & Kahan, S. (2018) · Medical Clinics of North America · doi:10.1016/j.mcna.2017.08.012 · Cited by 876 · see citing works
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“Because of the variability of the included studies, random-effects meta-analyses [55] were performed on the following most frequently reported outcomes using Review Manager (RevMan) [53]: daily step count, MVPA (min/day), sedentary behavior (min/day), and weight (kg).”
MethodInterventions for promoting physical activity
Foster, C., Hillsdon, M., Thorogood, M., Kaur, A., & Wedatilake, T. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003180.pub2 · Cited by 692 · see citing works
Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019) · JMIR mHealth and uHealth · doi:10.2196/11819 · Cited by 690 · see citing works
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data
Feehan, L. M., Geldman, J., Sayre, E. C., Park, C., Ezzat, A. M., Yoo, J. Y., Hamilton, C. B., & Li, L. C. (2018) · JMIR mHealth and uHealth · doi:10.2196/10527 · Cited by 616 · cited 1× · see citing works
“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultLyons, E. J., Lewis, Z. H., Mayrsohn, B. G., & Rowland, J. L. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3469 · Cited by 547 · see citing works
Henriksen, A., Haugen Mikalsen, M., Woldaregay, A. Z., Muzny, M., Hartvigsen, G., Hopstock, L. A., & Grimsgaard, S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9157 · Cited by 542 · see citing works
Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women
Cadmus-Bertram, L. A., Marcus, B. H., Patterson, R. E., Parker, B. A., & Morey, B. L. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.01.020 · Cited by 469 · cited 1× · see citing works
“This stream of research successfully incorporated Fitbit devices into lifestyle interventions to increase PA, reduce overweight or obesity, and manage chronic diseases such as cancer [46-49].”
MethodAn Introduction to Meta–Analysis
Konstantopoulos, S. (2008) · Sage eBooks · doi:10.4135/9781412995627.d15 · Cited by 434 · see citing works
Finkelstein, E. A., Haaland, B. A., Bilger, M., Sahasranaman, A., Sloan, R. A., Nang, E. E. K., & Evenson, K. R. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30284-4 · Cited by 402 · cited 12× · see citing works
“A total of 3779 participants were included, with a mean of 102 participants per study (median 68) and range from 16 [98] to 800 participants [82] per study.”
BackgroundMethodInfluentialGrayson, P. C., Alehashemi, S., Bagheri, A. A., Civelek, A. C., Cupps, T. R., Kaplan, M. J., Malayeri, A. A., Merkel, P. A., Novakovich, E., Bluemke, D. A., et al. (2017) · Arthritis & Rheumatology · doi:10.1002/art.40379 · Cited by 348 · see citing works
Xie, J., Wen, D., Liang, L., Jia, Y., Gao, L., & Lei, J. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9754 · Cited by 310 · cited 1× · see citing works
“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultNelson, B. W., & Allen, N. B. (2019) · JMIR mHealth and uHealth · doi:10.2196/10828 · Cited by 310 · cited 1× · see citing works
“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultWang, J. B., Cadmus-Bertram, L. A., Natarajan, L., White, M. M., Madanat, H., Nichols, J. F., Ayala, G. X., & Pierce, J. P. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0176 · Cited by 308 · cited 1× · see citing works
“This stream of research successfully incorporated Fitbit devices into lifestyle interventions to increase PA, reduce overweight or obesity, and manage chronic diseases such as cancer [46-49].”
MethodBehavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis
Mercer, K., Li, M., Giangregorio, L., Burns, C., & Grindrod, K. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4461 · Cited by 304 · see citing works
Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices
Rosenberger, M. E., Buman, M. P., Haskell, W. L., McConnell, M. V., & Carstensen, L. L. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000778 · Cited by 298 · cited 1× · see citing works
“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultStephenson, A., McDonough, S. M., Murphy, M. H., Nugent, C. D., & Mair, J. L. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0561-4 · Cited by 290 · cited 1× · see citing works
“Furthermore, there is inconclusive evidence that wearable-based interventions are effective at achieving healthier lifestyles through decreases in sedentary behavior [16,34] or through weight loss [28,30,32,35].”
BackgroundGal, R., May, A. M., van Overmeeren, E. J., Simons, M., & Monninkhof, E. M. (2018) · Sports Medicine - Open · doi:10.1186/s40798-018-0157-9 · Cited by 257 · cited 4× · see citing works
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
BackgroundResultInfluentialFeasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review
Ridgers, N. D., McNarry, M. A., & Mackintosh, K. A. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6540 · Cited by 245 · see citing works
Mendoza, J. A., Baker, K. S., Moreno, M. A., Whitlock, K. B., Abbey‐Lambertz, M., Waite, A., Colburn, T. A., & Chow, E. J. (2017) · Pediatric Blood & Cancer · doi:10.1002/pbc.26660 · Cited by 222 · see citing works
McDermott, M. M., Spring, B., Berger, J. S., Treat-Jacobson, D., Conte, M. S., Creager, M. A., Criqui, M. H., Ferrucci, L., Gornik, H. L., Guralnik, J. M., et al. (2018) · JAMA · doi:10.1001/jama.2018.3275 · Cited by 211 · see citing works
Champion, K. E., Parmenter, B., McGowan, C., Spring, B., Wafford, Q. E., Gardner, L. A., Thornton, L., McBride, N., Barrett, E. L., Teesson, M., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30088-3 · Cited by 197 · cited 1× · see citing works
“We focused on a range of outcomes (ie, steps, MVPA, sedentary behaviors, and weight) that are important components of a heathy lifestyle [64-66].”
BackgroundHartman, S. J., Nelson, S. H., Myers, E., Natarajan, L., Sears, D. D., Palmer, B. W., Weiner, L. S., Parker, B. A., & Patterson, R. E. (2018) · Cancer · doi:10.1002/cncr.30987 · Cited by 188 · see citing works
Using an electronic activity monitor system as an intervention modality: A systematic review
Lewis, Z. H., Lyons, E., Jarvis, J. M., & Baillargeon, J. (2015) · BMC Public Health · doi:10.1186/s12889-015-1947-3 · Cited by 183 · see citing works
Buckingham, S. A., Williams, A. J., Morrissey, K., Price, L., & Harrison, J. (2019) · Digital Health · doi:10.1177/2055207619839883 · Cited by 182 · cited 4× · see citing works
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
BackgroundResultInfluentialThomas, J., O’Mara-Eves, A., & Brunton, G. (2014) · Systematic Reviews · doi:10.1186/2046-4053-3-67 · Cited by 181 · cited 3× · see citing works
“It is especially appropriate when dealing with complex interventions [38].”
BackgroundParé, G., Tate, M., Johnstone, D., & Kitsiou, S. (2016) · European Journal of Information Systems · doi:10.1057/s41303-016-0020-3 · Cited by 180 · see citing works
Self-citationTemplier, M., & Paré, G. (2018) · European Journal of Information Systems · doi:10.1080/0960085x.2017.1398880 · Cited by 180 · see citing works
Self-citationDonoghue, K., Patton, R., Phillips, T., Deluca, P., & Drummond, C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3193 · Cited by 162 · cited 1× · see citing works
“We considered these subgroup analyses because there is some evidence that theory-based interventions are more effective [60-62] and that the effects of wearable activity trackers may not be sustainable over time, favoring short interventions.”
Amorim, A. B., Pappas, E., Simić, M., Ferreira, M. L., Jennings, M. D., Tiedemann, A., Carvalho‐e‐Silva, A. P., Caputo, E. L., Kongsted, A., & Ferreira, P. H. (2019) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-019-2454-y · Cited by 159 · cited 10× · see citing works
“MVPA outcomes were mostly measured using a research-grade accelerometer (13/37, 35%) [48,67,68,71,72,76,82,84,93,95,98,99,103], and, less often, they were self-reported (5/37, 14%) [67,79,86,88,104] or relied on the use of a SenseWear Mini device (2/37, 5%) [57,89].”
BackgroundMethodInfluentialEffect of individual counseling on physical activity fitness and health
Proper, K. I., Hildebrandt, V. H., van der Beek, A. J., Twisk, J. W. R., & van Mechelen, W. (2003) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(02)00645-1 · Cited by 142 · see citing works
Böhm, B., Karwiese, S. D., Böhm, H., & Oberhoffer, R. (2019) · JMIR mhealth and uhealth · doi:10.2196/mhealth.8298 · Cited by 142 · cited 4× · see citing works
“With this study, we also answer the call to assess the effect of wearables on a broader set of healthy lifestyle–related outcomes [28,31,33,50], including PA-related outcomes, which were the exclusive focus of most previous meta-analyses.”
BackgroundInfluentialJames, T. L., Wallace, L. G., & Deane, J. K. (2019) · MIS Quarterly · doi:10.25300/misq/2019/14128 · Cited by 132 · see citing works
How valid are wearable physical activity trackers for measuring steps?
An, H., Jones, G. C., Kang, S., Welk, G. J., & Lee, J. M. (2016) · European Journal of Sport Science · doi:10.1080/17461391.2016.1255261 · Cited by 131 · cited 1× · see citing works
“We focused on Fitbit devices because they are among the most accurate commercially available wearables [39-43] and are, in some cases, comparable to research-grade monitors [44].”
ResultPrevalence trends tell us what did not precipitate the US obesity epidemic
Rodgers, A., Woodward, A. J., Swinburn, B. A., & Dietz, W. H. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30021-5 · Cited by 131 · see citing works
Beishuizen, C. R., Stephan, B. C., van Gool, W. A., Brayne, C., Peters, R. J., Andrieu, S., Kivipelto, M., Soininen, H., Busschers, W. B., Moll van Charante, E. P., et al. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5218 · Cited by 128 · cited 1× · see citing works
“We considered these subgroup analyses because there is some evidence that theory-based interventions are more effective [60-62] and that the effects of wearable activity trackers may not be sustainable over time, favoring short interventions.”
Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review
McCallum, C., Rooksby, J., & Gray, C. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9054 · Cited by 126 · see citing works
de Vries, H. J., Kooiman, T. J. M., van Ittersum, M. W., van Brussel, M., & de Groot, M. (2016) · Obesity · doi:10.1002/oby.21619 · Cited by 123 · see citing works
Kirk, M., Amiri, M., Pirbaglou, M., & Ritvo, P. (2018) · American Journal of Health Promotion · doi:10.1177/0890117118816278 · Cited by 122 · cited 4× · see citing works
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
BackgroundResultInfluentialKelly, S. A., Melnyk, B. M., Jacobson, D., & O’Haver, J. (2010) · Journal of Pediatric Health Care · doi:10.1016/j.pedhc.2010.03.002 · Cited by 115 · cited 1× · see citing works
“We focused on a range of outcomes (ie, steps, MVPA, sedentary behaviors, and weight) that are important components of a heathy lifestyle [64-66].”
BackgroundPhysical Activity to Reduce Fatigue in Rheumatoid Arthritis: A Randomized Controlled Trial
Katz, P., Margaretten, M. E., Gregorich, S. E., & Trupin, L. S. (2017) · Arthritis Care & Research · doi:10.1002/acr.23230 · Cited by 114 · see citing works
Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey
Paré, G., Leaver, C. A., & Bourget, C. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9388 · Cited by 113 · cited 1× · see citing works
“To address the lack of physical activity (PA) and resulting health issues, a substantial amount of research has been dedicated to tracker-based interventions [16-18], which may synergize with the growing use of wearable devices by consumers [19-23].”
BackgroundSelf-citationRedman, L., Gilmore, L. A., Breaux, J., Thomas, D. M., Elkind-Hirsch, K., Stewart, T. M., Hsia, D., Burton, J., Apolzan, J., Cain, L. E., et al. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8228 · Cited by 110 · cited 8× · see citing works
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
BackgroundMethodInfluentialCheatham, S. W., Stull, K. R., Fantigrassi, M., & Motel, I. (2018) · The Journal of Sports Medicine and Physical Fitness · doi:10.23736/s0022-4707.17.07437-0 · Cited by 109 · see citing works
Ludwig, K., Arthur, R., Sculthorpe, N. F., Fountain, H., & Buchan, D. S. (2018) · JMIR mhealth and uhealth · doi:10.2196/10799 · Cited by 106 · see citing works
Ashe, M. C., Winters, M., Hoppmann, C. A., Dawes, M. G., Gardiner, P. A., Giangregorio, L. M., Madden, K. M., McAllister, M. M., Wong, G., Puyat, J. H., et al. (2015) · Pilot and Feasibility Studies · doi:10.1186/2055-5784-1-4 · Cited by 103 · cited 11× · see citing works
“These behaviors were mostly reported in min/day [68,89,93,103,104], while few studies reported them as prolonged sedentary 30-minute bouts (%/day) [100] or sedentary activity (<5000 steps per day, %) [87].”
InfluentialDavergne, T., Pallot, A., Dechartres, A., Fautrel, B., & Gossec, L. (2018) · Arthritis Care & Research · doi:10.1002/acr.23752 · Cited by 98 · see citing works
Duscha, B. D., Piner, L. W., Patel, M. P., Craig, K. P., Brady, M., McGarrah, R. W., Chen, C., & Kraus, W. E. (2018) · American Heart Journal · doi:10.1016/j.ahj.2018.02.001 · Cited by 93 · see citing works
“Go4Life” exercise counseling, accelerometer feedback, and activity levels in older people
Thompson, W. G., Kuhle, C. L., Koepp, G. A., MCCRADY-SPITZER, S. K., & Levine, J. A. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.01.004 · Cited by 92 · see citing works
Technology- and Phone-Based Weight Loss Intervention
Hartman, S. J., Nelson, S. H., Cadmus-Bertram, L. A., Patterson, R. E., Parker, B. A., & Pierce, J. P. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.06.024 · Cited by 86 · see citing works
Van Blarigan, E. L., Chan, H., Van Loon, K., Kenfield, S. A., Chan, J. M., Mitchell, E., Zhang, L., Paciorek, A., Joseph, G., Laffan, A., et al. (2019) · BMC Cancer · doi:10.1186/s12885-019-5427-5 · Cited by 85 · see citing works
Gilmore, L. A., Klempel, M. C., Martin, C. K., Myers, C. A., Burton, J. H., Sutton, E. F., & Redman, L. M. (2017) · Journal of Women s Health · doi:10.1089/jwh.2016.5947 · Cited by 84 · cited 8× · see citing works
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
BackgroundMethodInfluentialThe impact of wearable motion sensing technology on physical activity in older adults
Cooper, C., Gross, A., Brinkman, C., Pope, R., Allen, K., Hastings, S., Bogen, B. E., & Goode, A. P. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.08.002 · Cited by 82 · cited 2× · see citing works
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
BackgroundResultGoode, A. P., Hall, K. S., Batch, B. C., Huffman, K. M., Hastings, S. N., Allen, K. D., Shaw, R. J., Kanach, F. A., McDuffie, J. R., Kosinski, A. S., et al. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9829-1 · Cited by 80 · cited 3× · see citing works
“These results are in line with prior reviews on wearables that showed no change in sedentary behaviors [16], and an improvement in PA outcomes [16-18,28,30-32,35,36,107] and weight loss [28,32,35,108].”
BackgroundResultSelf-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial
Kooiman, T. J. M., de Groot, M., Hoogenberg, K., Krijnen, W. P., van der Schans, C. P., & Kooy, A. (2018) · CIN: Computers, Informatics, Nursing · doi:10.1097/cin.0000000000000443 · Cited by 78 · cited 10× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialLi, L. C., Sayre, E. C., Xie, H., Clayton, C., & Feehan, L. M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7863 · Cited by 74 · cited 9× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialVandelanotte, C., Duncan, M. J., Maher, C. A., Schoeppe, S., Rebar, A. L., Power, D. A., Short, C. E., Doran, C. M., Hayman, M. J., & Alley, S. J. (2018) · Journal of Medical Internet Research · doi:10.2196/11321 · Cited by 68 · see citing works
Limb, E. S., Ahmad, S., Cook, D. G., Kerry, S. M., Ekelund, U., Whincup, P. H., Victor, C. R., Iliffe, S., Ussher, M., Fox-Rushby, J., et al. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-018-0762-5 · Cited by 67 · cited 1× · see citing works
“We analyzed objective and self-reported measures separately because self-reported outcomes have a higher risk of over-estimation [58,59].”
MethodThorndike, A. N., Mills, S., Sonnenberg, L., Palakshappa, D., Gao, T., Pau, C. T., & Regan, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100251 · Cited by 66 · see citing works
Christiansen, M. B., Thoma, L. M., Master, H., Voinier, D., Schmitt, L., Ziegler, M. L., LaValley, M. P., & White, D. K. (2019) · Arthritis Care & Research · doi:10.1002/acr.23882 · Cited by 64 · cited 9× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialLI, L. C., Sayre, E. C., Xie, H., Falck, R. S., Best, J. R., Liu-Ambrose, T. Y. L., Grewal, N., Hoens, A. M., Noonan, G., & Feehan, L. M. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8514 · Cited by 63 · cited 11× · see citing works
“These behaviors were mostly reported in min/day [68,89,93,103,104], while few studies reported them as prolonged sedentary 30-minute bouts (%/day) [100] or sedentary activity (<5000 steps per day, %) [87].”
BackgroundMethodInfluentialOliveira, J. S., Sherrington, C., Paul, S. S., Ramsay, E., Chamberlain, K., Kirkham, C., O'Rourke, S. D., Hassett, L., & Tiedemann, A. (2019) · Journal of Physiotherapy · doi:10.1016/j.jphys.2018.11.005 · Cited by 63 · cited 10× · see citing works
“MVPA outcomes were mostly measured using a research-grade accelerometer (13/37, 35%) [48,67,68,71,72,76,82,84,93,95,98,99,103], and, less often, they were self-reported (5/37, 14%) [67,79,86,88,104] or relied on the use of a SenseWear Mini device (2/37, 5%) [57,89].”
BackgroundMethodInfluentialA Feasibility Study for Improved Physical Activity After Total Knee Arthroplasty
Paxton, R. J., Forster, J. E., Miller, M. J., Gerron, K. L., Stevens‐Lapsley, J. E., & Christiansen, C. L. (2017) · Journal of Aging and Physical Activity · doi:10.1123/japa.2016-0268 · Cited by 62 · cited 10× · see citing works
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
BackgroundMethodInfluentialHornikx, M., Demeyer, H., Camillo, C. A., Janssens, W., & Troosters, T. (2015) · BMC Pulmonary Medicine · doi:10.1186/s12890-015-0126-8 · Cited by 58 · cited 10× · see citing works
“Other studies reported measures taken with a SenseWear Mini device [89], a Jawbone Up wearable [87], a Yamax pedometer [73], and a Dynaport MoveMonitor device [85].”
BackgroundMethodInfluentialGriauzde, D., Kullgren, J. T., Liestenfeltz, B., Ansari, T., Johnson, E. H., Fedewa, A., Saslow, L. R., Richardson, C., & Heisler, M. (2019) · JMIR mHealth and uHealth · doi:10.2196/11267 · Cited by 58 · cited 9× · see citing works
“This stream of research successfully incorporated Fitbit devices into lifestyle interventions to increase PA, reduce overweight or obesity, and manage chronic diseases such as cancer [46-49].”
InfluentialSimons, D., De Bourdeaudhuij, I., Clarys, P., De Cocker, K., Vandelanotte, C., & Deforche, B. (2018) · JMIR mHealth and uHealth · doi:10.2196/10003 · Cited by 56 · cited 9× · see citing works
“MVPA outcomes were mostly measured using a research-grade accelerometer (13/37, 35%) [48,67,68,71,72,76,82,84,93,95,98,99,103], and, less often, they were self-reported (5/37, 14%) [67,79,86,88,104] or relied on the use of a SenseWear Mini device (2/37, 5%) [57,89].”
InfluentialObjectively measured versus self-reported physical activity in children and adolescents with cancer
Götte, M., Seidel, C. C., Kesting, S. V., Rosenbaum, D., & Boos, J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172216 · Cited by 51 · cited 1× · see citing works
“We analyzed objective and self-reported measures separately because self-reported outcomes have a higher risk of over-estimation [58,59].”
MethodCadmus‐Bertram, L., Tevaarwerk, A. J., Sesto, M. E., Gangnon, R. E., Remortel, B. J. V., & Date, P. (2019) · Journal of Cancer Survivorship · doi:10.1007/s11764-019-00778-6 · Cited by 51 · cited 9× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialAbstract Supplement 2018 ACR/ARHP Annual Meeting
Bolko, L., Toquet, S., Landon‐Cardinal, O., Dorgham, K., Anquetil, C., Duffy, D., Wesner, N., Amelin, D., Dzangué-Tchoupou, G., Guillaume-Jugnot, P., et al. (2018) · Arthritis & Rheumatology · doi:10.1002/art.40700 · Cited by 49 · see citing works
Cheung, N. W., Blumenthal, C., Smith, B. J., Hogan, R., Thiagalingam, A., Redfern, J., Barry, T., Cinnadaio, N., & Chow, C. K. (2019) · Nutrients · doi:10.3390/nu11030590 · Cited by 47 · see citing works
Arrogi, A., Schotte, A., Bogaerts, A., Boen, F., & Seghers, J. (2017) · BMC Public Health · doi:10.1186/s12889-016-3965-1 · Cited by 43 · see citing works
National Cancer Institute (2020) · Definitions · doi:10.32388/t0uxhu · Cited by 42 · see citing works
Utilizing wearable technology to increase physical activity in future physicians: A randomized trial
DiFrancisco‐Donoghue, J., Jung, M. K., Stangle, A., Werner, W. G., Zwibel, H., Happel, P., & Balentine, J. (2018) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2018.09.004 · Cited by 41 · cited 11× · see citing works
“Of the 37 studies included in the review, 15 reported an outcome related to weight [48,68-71,73,77,82-84,88,97,101,102,104] and 11 studies reported this outcome in a way that we could use”
BackgroundMethodInfluentialMcCullough, A. R., Ryan, C. A., Macindoe, C., Yii, N., Bradley, J. M., O'Neill, B. M., Elborn, J. S., & Hughes, C. M. (2016) · Respiratory Medicine · doi:10.1016/j.rmed.2016.05.021 · Cited by 40 · cited 2× · see citing works
“This contradicts the results of McCullough et al [62], who found that theory-based interventions are more effective.”
ResultAzar, K. M., Koliwad, S. K., Poon, T. K. C., Xiao, L., Lv, N., Griggs, R., & Ma, J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5143 · Cited by 39 · cited 7× · see citing works
“Participants in some control groups were put on a waiting list to receive the same intervention following a delay [57,69,71,89].”
BackgroundInfluentialSavoli, A., Barki, H., & Paré, G. (2020) · MIS Quarterly · doi:10.25300/misq/2020/15103 · Cited by 39 · see citing works
Self-citationMultiple Comparisons within a Study
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386.ch25 · Cited by 38 · see citing works
VanWormer, J. J., Pronk, N. P., & Kroeninger, G. J. (2009) · Diabetes Spectrum · doi:10.2337/diaspect.22.1.48 · Cited by 35 · cited 1× · see citing works
“In many cases, these interventions combine components such as individual goal setting, the provision of incentives, social support, and social comparison [11,24-27].”
BackgroundMiragall, M., Rodríguez, A. D., Navarro, J., Cebolla, A., & Baños, R. (2017) · Psychology and Health · doi:10.1080/08870446.2017.1368511 · Cited by 29 · cited 8× · see citing works
“In total, 41 articles were included, reporting the results of 37 RCTs (Figure 1) [48,49,57,67-104].”
BackgroundMethodInfluentialFalck, R. S., Best, J. R., LI, L. C., Chan, P., Feehan, L. M., & Liu-Ambrose, T. Y. L. (2018) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-018-2369-z · Cited by 27 · cited 1× · see citing works
“In total, 41 articles were included, reporting the results of 37 RCTs (Figure 1) [48,49,57,67-104].”
BackgroundSloan, R. A., Kim, Y., Sahasranaman, A., Müller‐Riemenschneider, F., Biddle, S., & Finkelstein, E. A. (2018) · BMC Research Notes · doi:10.1186/s13104-018-3306-9 · Cited by 21 · cited 2× · see citing works
“In total, 41 articles were included, reporting the results of 37 RCTs (Figure 1) [48,49,57,67-104].”
BackgroundRandomized trial of a clinic-based weight loss intervention in cancer survivors
Brown, J. C., Yung, R. L., Giobbie‐Hurder, A., Shockro, L., O’Connor, K., Campbell, N., Kasper, J. S., Mayer, E. L., Tolaney, S. M., Partridge, A. H., et al. (2017) · Journal of Cancer Survivorship · doi:10.1007/s11764-017-0657-5 · Cited by 20 · cited 8× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialFarnell, G., & Barkley, J. E. (2017) · Journal of Human Sport and Exercise · doi:10.14198/jhse.2017.124.09 · Cited by 20 · cited 8× · see citing works
“Only one study focused specifically on healthy subjects [81].”
BackgroundMethodInfluentialEisenberg, M. H., Phillips, L. A., Fowler, L., & Moore, P. J. (2017) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2017.01.008 · Cited by 19 · cited 12× · see citing works
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
BackgroundMethodResultInfluentialHayman, L. L., & Worel, J. N. (2014) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000199 · Cited by 16 · cited 1× · see citing works
“We focused on a range of outcomes (ie, steps, MVPA, sedentary behaviors, and weight) that are important components of a heathy lifestyle [64-66].”
BackgroundDiabetes and the public's health
Tuchman, A. M. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61730-x · Cited by 16 · cited 1× · see citing works
“Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent and pose formidable challenges worldwide [1-4].”
BackgroundShoemaker, M. J., Oberholtzer, N. L., Jongekrijg, L. E., Bowen, T. E., Cartwright, K., Hanson, K., Serba, D., Dickinson, M. G., & Kowalk, A. (2016) · Home Health Care Management & Practice · doi:10.1177/1084822316683660 · Cited by 12 · cited 10× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialPedometry to Prevent Cardiorespiratory Fitness Decline—Is it Effective?
Lystrup, R. M., West, G. F., Olsen, C., Ward, M., & Stephens, M. B. (2016) · Military Medicine · doi:10.7205/milmed-d-15-00540 · Cited by 11 · cited 12× · see citing works
“In summary, most of the interventions did not rely on theory and used Fitbit Zip or Flex tracking devices for interventional purposes along with several other components commonly related to goal setting and education.”
BackgroundMethodInfluentialPromote Students’ Healthy Behavior Through Sensor and Game: A Randomized Controlled Trial
H-Jennings, F., Clement, M., Brown, M., Leong, B., Shen, L., & Dong, C. (2016) · Medical Science Educator · doi:10.1007/s40670-016-0253-8 · Cited by 10 · cited 9× · see citing works
“Of the 37 studies included in the review, 21 reported MVPA [48,57,67,68,71-73,76,78,79,82,84,86,88,89,93,95,98,99,103,104] and 14 studies reported this outcome in a way that we could use in the meta-analysis [48,57,67,68,71,72,76,78,82,84,89, 93,99,103].”
BackgroundMethodInfluentialCaregiving for Older Adults with Obesity in the United States
Ankuda, C. K., Harris, J. A., Ornstein, K. A., Levine, D. A., Langa, K. M., & Kelley, A. S. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14918 · Cited by 7 · see citing works
Christiansen, M. B., Thoma, L. M., Master, H., Mathews, D., Schmitt, L., & White, D. K. (2018) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2018.02.663 · Cited by 7 · cited 1× · see citing works
“In total, 41 articles were included, reporting the results of 37 RCTs (Figure 1) [48,49,57,67-104].”
BackgroundEffects of an Intervention using Movement Technology in a University Physical Activity Class
Mahar, M. T., Nanney, L. W., Das, B. M., Raedeke, T. D., Vick, G. A., & Rowe, D. A. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000477869.71815.de · Cited by 2 · see citing works
Qualitative Comparative Analysis (QCA)
(2008) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-531-90716-1_6 · Cited by 2 · see citing works
Improving Cardiovascular Health Through Physical Activity
Ryckeley, J. B., & Randolph, S. A. (2012) · Workplace Health & Safety · doi:10.1177/216507991206000708 · Cited by 2 · see citing works
Ball, C. A., Carter, K., Yeung, C., Abdelmoneim, S. S., Bauman, J. M., Huang, R., Mankad, R., Iftikar, S., Jain, S. S., López-Jiménez, F. A., et al. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2016.02.026 · Cited by 1 · cited 7× · see citing works
“Of the 37 studies included in the review, 15 reported an outcome related to weight [48,68-71,73,77,82-84,88,97,101,102,104] and 11 studies reported this outcome in a way that we could use”
BackgroundInfluentialImproving Cardiovascular Health Through Physical Activity
Ryckeley, J. B., & Randolph, S. A. (2012) · Workplace Health & Safety · doi:10.3928/21650799-20120625-07 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Fitbit Reports $571M Q4’17 and $1.616B FY’17 RevenueFitbit20182020-10-02https://investor.fitbit.com/press/press-releases/press-release-details/2018/Fitbit-Reports-571M-Q417-and-1616B-FY17-Revenue/default.aspx
- Gartner Says Worldwide Wearable Device Sales to Grow 26 Percent in 2019Gartner20182020-10-02https://www.gartner.com/en/newsroom/press-releases/2018-11-29-gartner-says-worldwide-wearable-device-sales-to-grow-
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Ferguson, T., Olds, T., Curtis, R., Blake, H., Crozier, A. J., Dankiw, K., Dumuid, D., Kasai, D., O'Connor, E., Virgara, R., et al. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00111-x · Cited by 560 · see citing works
Wearable inertial sensors for human movement analysis: a five-year update
Picerno, P., Iosa, M., D’Souza, C., Benedetti, M. G., Paolucci, S., & Morone, G. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.1988849 · Cited by 146 · see citing works
“significant decrease in sedentary behavior [133,134].”
Game changers in science and technology - now and beyond
Betz, U. A. K., Arora, L., Assal, R. A., de Azevedo, H. F. Z., Baldwin, J., Becker, M. S., Bostock, S., Cheng, V. W. T., Egle, T., Ferrari, N., et al. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122588 · Cited by 146 · see citing works
Shahidinejad, A., & Abawajy, J. (2024) · ACM Computing Surveys · doi:10.1145/3645087 · Cited by 120 · see citing works
“In the healthcare sphere, for example, implantable medical devices such as pacemakers or wearable devices such as Fitbit [116] offer continuous monitoring of people’s physiological status, promoting our lifestyle and allowing for prompt medical intervention when needed.”
BackgroundFigtree, G. A., Vernon, S. T., Harmer, J. A., Gray, M. P., Arnott, C. G., Bachour, E., Barsha, G., Brieger, D. B., Brown, A. D. H., Celermajer, D. S., et al. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.06.045 · Cited by 113 · see citing works
Holzer, R., Bloch, W., & Brinkmann, C. K. (2022) · Sensors · doi:10.3390/s22052030 · Cited by 102 · see citing works
Zahedani, A. D., McLaughlin, T., Veluvali, A., Aghaeepour, N., Hosseinian, A., Agarwal, S., Ruan, J., Tripathi, S., Woodward, M., Hashemi, N., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00956-y · Cited by 96 · see citing works
“Multiple previous studies have demonstrated that use of accelerometer or heart rate monitor increases physical activity 43,44 Thus, it is not discernible whether simply wearing the HR tracker/accelerometer or receiving personalized activity recommendations from the app contributed to the observed…”
Wang, W., Cheng, J., Song, W., & Shen, Y. (2022) · JMIR mhealth and uhealth · doi:10.2196/32435 · Cited by 89 · see citing works
“Wearable devices have been proven to be valid and accurate [31-35], providing consistent feedback and inducing behavior changes in individuals, which result in increased physical activity [36-41].”
BackgroundJaana, M., & Paré, G. (2020) · JMIR mhealth and uhealth · doi:10.2196/24718 · Cited by 86 · see citing works
“Self-tracking devices in particular (eg, smart devices with mobile apps, fitness trackers, blood pressure monitors) have gained interest in recent years in light of their potential for monitoring and motivating individuals to remain healthy [27-31].”
BackgroundSelf-citationCasado-Robles, C., Viciana, J., Guijarro-Romero, S., & Mayorga-Vega, D. (2022) · Sports Medicine - Open · doi:10.1186/s40798-021-00407-6 · Cited by 89 · see citing works
Data Dentistry: How Data Are Changing Clinical Care and Research
Schwendicke, F., & Krois, J. (2021) · Journal of Dental Research · doi:10.1177/00220345211020265 · Cited by 85 · see citing works
“…inconsistent effects (Gordt et al. 2018); improving lifestyle and related outcomes like mobility and weight, with positive and consistent effects (Ringeval et al. 2020); activity interventions for cardio-vascular diseases, showing significant small to medium improvements in activity levels…”
Background“Can you see my screen?” Addressing Racial and Ethnic Disparities in Telehealth
Haynes, N., Ezekwesili, A. C., Nunes, K. L., Gumbs, E., Haynes, M., & Swain, J. D. (2021) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-021-00685-5 · Cited by 75 · see citing works
St Fleur, R. G., St George, S. M., Leite, R., Kobayashi, M., Agosto, Y., & Jake-Schoffman, D. E. (2021) · JMIR mHealth and uHealth · doi:10.2196/23411 · Cited by 74 · see citing works
“Results from a recent systematic review and meta-analysis of Fitbit-based interventions highlighted that the use of accelerometers and self-report, in addition to Fitbit, is often done to capture PA outcomes other than steps [106].”
BackgroundWearable activity trackers for promoting physical activity: A systematic meta-analytic review
Li, C., Chen, X., & Bi, X. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104487 · Cited by 73 · see citing works
Ethical considerations for the use of consumer wearables in health research
Sui, A., Sui, W., Liu, S., & Rhodes, R. E. (2023) · Digital Health · doi:10.1177/20552076231153740 · Cited by 80 · see citing works
“Wearables represent a promising tool for health research(4) and interventions.(5) However, consumer wearable tech (e.”
MethodBalbim, G. M., Marques, I. G., Márquez, D. X., Patel, D., Sharp, L. K., Kitsiou, S., & Nyenhuis, S. M. (2021) · JMIR mhealth and uhealth · doi:10.2196/25289 · Cited by 71 · see citing works
“A similar dominant trend is also observed in research, where Fitbits are the most frequently used devices, particularly in interventional studies that focus on promoting PA and other healthy lifestyle behaviors [10].”
BackgroundMethodSelf-citationTailored physical activity behavior change interventions: challenges and opportunities
Ma, J. K., Floegel, T. A., LI, L. C., Leese, J., Vera, M. A. D., Beauchamp, M. R., Taunton, J., Liu-Ambrose, T. Y. L., & Allen, K. D. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab106 · Cited by 70 · see citing works
Sunny, J. S., Patro, C. P. K., Karnani, K., Pingle, S. C., Lin, F., Anekoji, M., Jones, L., Kesari, S., & Ashili, S. (2022) · Sensors · doi:10.3390/s22030756 · Cited by 73 · see citing works
“These abnormal data points are called anomalies, and this review is primarily on understanding and reviewing algorithms that are capable of detecting anomalies in addition to decision-based systems that can handle the constantly evolving personalized data [13].”
BackgroundDigital Biomarker–Based Studies: Scoping Review of Systematic Reviews
Motahari-Nezhad, H., Fgaier, M., Abid, M. M., Péntek, M., Gulàcsi, L., & Zrubka, Z. (2022) · JMIR mhealth and uhealth · doi:10.2196/35722 · Cited by 68 · see citing works
“According to the ICHI classification (Table 2), a high proportion of the interventions focused on physical activity behavior (16/31, 52%) [39-46,48,52,55-57,61,62,68] and conversion of cardiac rhythm (4/31, 13%) [49,53,66,67].”
BackgroundMethodResultInfluentialRevisiting the social commerce paradigm: the social commerce (SC) framework and a research agenda
Leong, L.-Y., Hew, T.-S., Ooi, K., Hajli, N., & Tan, G. W. (2023) · Internet Research · doi:10.1108/intr-08-2022-0657 · Cited by 68 · see citing works
Willingham, T. B., Stowell, J. F., Collier, G., & Backus, D. A. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21010079 · Cited by 54 · see citing works
Examining the impacts of fitness app features on user well-being
Hu, J., He, W., Zhang, J., & Song, J. (2023) · Information & Management · doi:10.1016/j.im.2023.103796 · Cited by 56 · see citing works
Mincarone, P., Bodini, A., Tumolo, M. R., Sabina, S., Colella, R., Mannini, L., Sabato, E., & Leo, C. G. (2024) · JMIR Public Health and Surveillance · doi:10.2196/49772 · Cited by 54 · see citing works
“This approach can be facilitated by the use of activity trackers [105,106].”
Gerber, M., Cheval, B., Cody, R., Colledge, F., Hohberg, V., Klimentidis, Y. C., Lang, C., Looser, V. N., Ludyga, S., Stults‐Kolehmainen, M., et al. (2025) · Physiological Reviews · doi:10.1152/physrev.00021.2024 · Cited by 53 · see citing works
Wang, L., Langlais, C. S., Kenfield, S. A., Chan, J. M., Graff, R. E., Allen, I. E., Atreya, C. E., & Blarigan, E. L. V. (2022) · Cancers · doi:10.3390/cancers14153816 · Cited by 39 · see citing works
Leigh, J. W., Gerber, B. S., Gans, C. P., Kansal, M. M., & Kitsiou, S. (2021) · JMIR Cardio · doi:10.2196/31982 · Cited by 39 · see citing works
“Wearable activity trackers and smartwatches have become popular over the years, and recent systematic reviews and meta-analyses have shown that they can help people increase their physical activity through self-monitoring and goal setting [57-59].”
BackgroundSelf-citationWearable Device–Based Intervention for Promoting Patient Physical Activity After Lung Cancer Surgery
Lee, J. H., Kong, S., Shin, S., Lee, G., Kim, H. K., Shim, Y. M., Cho, J., Kang, D., & Park, H. Y. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.34180 · Cited by 39 · see citing works
Browne, J. D., Boland, D. M., Baum, J. T., Ikemiya, K., Harris, Q., Phillips, M., Neufeld, E. V., Gómez, D., Goldman, P., & Dolezal, B. A. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.777874 · Cited by 37 · see citing works
Jamieson, A., Chico, T., Jones, S. H., Chaturvedi, N., Hughes, A. D., & Orini, M. (2025) · npj Cardiovascular Health · doi:10.1038/s44325-025-00082-6 · Cited by 38 · see citing works
“There is evidence that tracking physical activity using wearable devices can provide a modest increaseintotalamountperformed 132 .”
Gao, Z., Ryu, S., Zhou, W., Adams, K. T., Hassan, M. A. S., Zhang, R., Blaes, A. H., Wolfson, J. A., & Sun, J. (2023) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2023.07.002 · Cited by 31 · see citing works
Clemes, S. A., Varela-Mato, V., Bodicoat, D. H., Brookes, C. L., Chen, Y., Edwardson, C. L., Gray, L. J., Guest, A. J., Johnson, V., Munir, F., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02372-7 · Cited by 32 · see citing works
Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews
Motahari-Nezhad, H., Alabdulkarim, H. A., Fgaier, M., Abid, M. M., Péntek, M., Gulàcsi, L., & Zrubka, Z. (2022) · Journal of Medical Internet Research · doi:10.2196/41042 · Cited by 33 · see citing works
“…G: Activity monitor, portable tablet computers with touch screens, Fitbit, Jawbone UP24 wearable device, pedometer, accelerometer [59], H: Fitbit [57], I: Fitbit, Jawbone UP, Polar Active, Misfit Flash, Gruve Solution, LUMOback, BodyMedia Fit, SenseWear, ActiveLink, InBodyBand [47], J: Fitbit,…”
BackgroundInfluentialHartman, S. J., Chen, R., Tam, R. M., Narayan, H. K., Natarajan, L., & Liu, L. (2022) · JMIR mhealth and uhealth · doi:10.2196/37086 · Cited by 26 · see citing works
“Initial studies on Fitbit adoption have demonstrated that they are effective in increasing physical activity levels when coupled with other interventions [17-21], but the novelty of wearing the tracker wears off over time [22].”
BackgroundOrstad, S. L., Gerchow, L., Patel, N., Reddy, M., Hernandez, C., Wilson, D. K., & Jay, M. R. (2021) · Informatics · doi:10.3390/informatics8020039 · Cited by 25 · see citing works
“For instance, Fitbit has been used in over 1000 research projects since 2012 [9] and has been registered in ClinicalTrials.gov 10 times more frequently than other WAM brands [10,11].”
Zrubka, Z., Champion, A., Holtorf, A., Bidino, R. D., Earla, J. R., Boltyenkov, A., Tabata‐Kelly, M., Asche, C. V., & Burrell, A. D. (2024) · Value in Health · doi:10.1016/j.jval.2024.01.009 · Cited by 25 · see citing works
Cloud-Based Platforms for Health Monitoring: A Review
Machorro-Cano, I., Olmedo-Aguirre, J. O., Alor‐Hernández, G., Rodríguez-Mazahua, L., Sánchez-Morales, L. N., & Pérez-Castro, N. (2023) · Informatics · doi:10.3390/informatics11010002 · Cited by 23 · see citing works
Kitsiou, S., Gerber, B. S., Buchholz, S. W., Kansal, M. M., Sun, J., & Pressler, S. J. (2025) · Journal of Medical Internet Research · doi:10.2196/55586 · Cited by 28 · see citing works
“Fitbit devices are increasingly used in research [51] and have been noted to be valid, reliable, and user-friendly in monitoring physical activity [52,53].”
Self-citationNayak, B., Bhattacharyya, S. S., Kumar, S., & Jumnani, R. K. (2021) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-07-2021-0072 · Cited by 24 · see citing works
How to develop and frame impactful review articles: key recommendations
Paré, G., Wagner, G., & Prester, J. (2023) · Journal of Decision System · doi:10.1080/12460125.2023.2197701 · Cited by 23 · see citing works
“Ringeval et al. (2020) review on Fitbit-based interventions can be seen as a representative of a systematic review in the form of a meta-analysis that adopts the expected standards in terms of protection against bias and the quality assessment for the selection of primary studies.”
Self-citationDelobelle, J., Lebuf, E., Dyck, D. V., Compernolle, S., Janek, M., Backere, F. D., & Větrovský, T. (2024) · Digital Health · doi:10.1177/20552076241262710 · Cited by 24 · see citing works
“Although consumer-based activity trackers like Fitbit are user-friendly devices with the potential to be used as a monitoring tool to trigger both JITAI prompts and EMA questionnaires, 20 it is still not known whether they can accurately measure short bouts of PA and SB.”
MethodKarunarathna, T. S., & Liang, Z. (2025) · Sensors · doi:10.3390/s25103207 · Cited by 24 · see citing works
Strout, K. A., Schwartz‐Mette, R. A., McNamara, J., Parsons, K., Walsh, D., Bonnet, J., O’Brien, L. M., Robinson, K. N., Sibley, S., Smith, A. K., et al. (2023) · JMIR Research Protocols · doi:10.2196/49020 · Cited by 21 · see citing works
“A review of 37 studies on Fitbit-based interventions demonstrated the effectiveness of this wearable technology for physical fitness support; wearing a Fitbit significantly increased daily step counts and moderate to vigorous physical activity and significantly decreased weight [69].”
BackgroundKasparian, A. M., & Badawy, S. M. (2022) · mHealth · doi:10.21037/mhealth-21-28 · Cited by 18 · see citing works
Grunberg, V. A., Greenberg, J., Mace, R. A., Bakhshaie, J., Choi, K. W., & Vranceanu, A. (2022) · Journal of Pain · doi:10.1016/j.jpain.2022.07.003 · Cited by 20 · see citing works
Frick, M., Neu, L., Liebhaber, N., Sperner‐Unterweger, B., Stötter, J., Keller, L., & Hüfner, K. (2021) · Sustainability · doi:10.3390/su132313361 · Cited by 19 · see citing works
Nature-Based Feasibility Intervention to Influence Mitigation Strategies for Perceived Stress
Vermeesch, A. L., Coro, A., Mattes, K., Ostendorff, D., Olson, E. T., & Garrigues, L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912277 · Cited by 18 · see citing works
“Sensor data is a useful research tool and studies that have investigated sensor data have shown improvements in healthy lifestyle outcomes particularly related to managing weight, increasing physical activity, and improving sedentary behaviors [35,36] although these did not focus on stress and burnout among nursing st…”
BackgroundSingh, B., Ahmed, M., Staiano, A., Vasiloglou, M. F., Gough, C., Petersen, J. M., Yin, Z.-N., Vandelanotte, C., Kracht, C., Fiedler, J., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/69065 · Cited by 20 · see citing works
Barriers to the Use of Web-Based Mental Health Programs for Preventing Depression: Qualitative Study
Eccles, H., Nannarone, M., Lashewicz, B., Attridge, M. D., Marchand, A., Aiken, A. B., Ho, K., & Wang, J. (2021) · JMIR Formative Research · doi:10.2196/16949 · Cited by 16 · see citing works
“One salient example of the positive effects of PI systems is activity trackers that users can use to monitor their activity level, set goals, and monitor progress; such trackers have been shown to improve physical activity among users [30].”
BackgroundBrame, J., Kohl, J., Wurst, R., Fuchs, R., Tinsel, I., Maiwald, P., Fichtner, U. A., Armbruster, C., Bischoff, M., Farin‐Glattacker, E., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031393 · Cited by 17 · see citing works
Curran, M., Tierney, A. C., Collins, L., Kennedy, L., McDonnell, C., Jurascheck, A. J., Sheikhi, A., Walsh, C., Button, B., Casserly, B., et al. (2023) · Journal of Cystic Fibrosis · doi:10.1016/j.jcf.2022.11.002 · Cited by 15 · see citing works
Taylor, S., Martin, J., Wilson, O. W. A., Elliott, L. D., & Bopp, M. (2024) · Recreational Sports Journal · doi:10.1177/15588661241261997 · Cited by 17 · see citing works
“As predicted, recording PA has a direct impact on PA, which supports previous literature that has found that recording activity through a device or even journaling, positively predicts college students being physically active (Brickwood et al., 2019; Ringeval et al., 2020; Strath & Rowley, 2018).”
Bizhanova, Z., Sereika, S. M., Brooks, M. M., Rockette‐Wagner, B., Kariuki, J. K., & Burke, L. E. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003114 · Cited by 14 · see citing works
Chai, X., Tan, Y., & Dong, Y. (2024) · BMC Public Health · doi:10.1186/s12889-024-19427-4 · Cited by 15 · see citing works
“Prior research [18, 42] has substantiated that health life-styles significantly influence individuals’ physical and mental well-being.”
BackgroundObezite Hastaları İçin Giyilebilir Teknolojilerin ÇKKV Yöntemleri İle Seçimi
Akıncı, B. N., DANIŞAN, T., & Eren, T. (2021) · Journal of Polytechnic · doi:10.2339/politeknik.886544 · Cited by 15 · see citing works
“Fakat bu çalışmalarda özellikle giyilebilir teknoloji ile hasta takibinin yapılmasını ele alan birkaç çalışma [14,15,19] bulunmaktadır.”
Rasul, T., Wijeratne, A., Soleimani, S., & Lim, W. M. (2021) · Journal of Strategic Marketing · doi:10.1080/0965254x.2021.1999307 · Cited by 15 · see citing works
“Fitbit, MyFitnessPal), thereby assisting in adherence, retention, and weight loss during health interventions (Ringeval et al., 2020).”
BackgroundZambrano Bermeo, R. N., Estrada Gonzalez, C., Herrera Guerra, E. D. P., & Aviles Gonzalez, C. I. (2024) · Healthcare · doi:10.3390/healthcare12131330 · Cited by 14 · see citing works
Bisson, A., Sorrentino, V., & Lachman, M. E. (2021) · JMIR mhealth and uhealth · doi:10.2196/27208 · Cited by 14 · see citing works
“These results are consistent with prior findings that goal-setting is among the most successful behavior change techniques for increasing physical activity [5].”
InfluentialWettstein, R., Sedaghat‐Hamedani, F., Heinze, O., Amr, A., Reich, C., Betz, T. M., Kayvanpour, E., Merzweiler, A., Büsch, C. A., Mohr, I., et al. (2024) · JMIR mhealth and uhealth · doi:10.2196/58441 · Cited by 15 · see citing works
Horn, C. E., Seely, E. W., Levkoff, S. E., Isley, B. C., & Nicklas, J. M. (2023) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2023.2194012 · Cited by 13 · see citing works
“A study evaluating physical activity found that participants using Fitbits significantly increased their physical activity while those using traditional pedometers did not [54], and a recent meta-analysis and systematic review reports that Fitbit use promotes physical activity and weight-loss [55].”
BackgroundWang, Y., Liu, Y., Liu, L., Hong, L., & Chen, H. Q. (2023) · Cardiology Research and Practice · doi:10.1155/2023/5586403 · Cited by 17 · see citing works
“Intelligent platforms can analyze patient data and provide personalized treatment plans based on individual needs and preferences [47–49].”
BackgroundGerber, S., Silver, R. E., Das, S. K., Greene, S. S., Dix, S. R., Ramirez, I., Morcos, C. L., Dao, M. C., Ceglia, L., & Roberts, S. B. (2024) · Nutrients · doi:10.3390/nu16070930 · Cited by 13 · see citing works
“…that increase the salience of these social comparison pieces (e.g., step-count rank compared to the group; awards for top placement), and within-person progress compared to the prior week (e.g., accolades for increasing steps, reducing weight, or reaching logging or performance targets) [21,66].”
BackgroundResultInfluentialSaleem, J. J., Wilck, N. R., Murphy, J. J., & Herout, J. (2022) · Applied Clinical Informatics · doi:10.1055/s-0042-1748857 · Cited by 13 · see citing works
Skin-Attachable Sensors for Biomedical Applications
Hua, J., Li, J., Jiang, Y., Xie, S., Shi, Y., & Pan, L. (2022) · Biomedical Materials & Devices · doi:10.1007/s44174-022-00018-z · Cited by 12 · see citing works
“For diabetic patients, skin-attachable chemical sensors can provide real-time feedback on the patient's blood glucose level, facilitating their self-management [16, 17].”
BackgroundFreeman, J. L., & Curtis, A. N. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580938 · Cited by 12 · see citing works
“Whilst digital self-tracking tools might encourage increased levels of physical activity [62], when taken too far they can also encourage more harmful behaviors such as disordered eating and”
BackgroundPowell, S. M., Larsen, C. A., Phillips, S. M., & Pellegrini, C. A. (2021) · ACR Open Rheumatology · doi:10.1002/acr2.11216 · Cited by 11 · see citing works
“Many participants also mentioned that they would be willing to receive a notification to sit less on a wearable physical activity tracker; however, current evidence suggests that these devices may not be effective in reducing sedentary behavior (29,30).”
BackgroundJaffar, A., Tan, C.-E., Sidik, S. M., Admodisastro, N. I., & Goodyear‐Smith, F. (2022) · JMIR mhealth and uhealth · doi:10.2196/28751 · Cited by 13 · see citing works
Guest, A. J., Paine, N. J., Chen, Y., Chalkley, A. E., Munir, F., Edwardson, C. L., Gray, L. J., Johnson, V., Ruettger, K. B., Sayyah, M., et al. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01316-x · Cited by 11 · see citing works
Conroy, D. E., Wu, J.-C., Lee, A. M., Brunke-Reese, D., & Lagoa, C. M. (2023) · Health Psychology · doi:10.1037/hea0001271 · Cited by 11 · see citing works
Wagenaar, C. A., Toonstra, A., Walrabenstein, W., van Schaardenburg, D., & van Nassau, F. (2024) · BMC Public Health · doi:10.1186/s12889-024-18554-2 · Cited by 11 · see citing works
“Furthermore, goal setting with the Fitbit has been found to be a promising component of the effectiveness of Fitbit-based interventions [33].”
Chan, A. H. Y., Ao, B. T., Baggott, C., Cavadino, A., Eikholt, A. A., Harwood, M. L. N., Hikaka, J., Gibbs, D., Hudson, M., Mirza, F., et al. (2024) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2023-002275 · Cited by 11 · see citing works
Exploring user-avatar bond profiles: Longitudinal impacts on internet gaming disorder
Brown, T., Smith, R., Zarate, D., Griffiths, M. D., & Stavropoulos, V. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108340 · Cited by 11 · see citing works
de Diego-Alonso, C., Blasco-Abadía, J., Doménech‐García, V., & López, P. B. (2024) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2024.2417645 · Cited by 11 · see citing works
“11 The Fitbit wristbands are considered a valid and reliable device for monitoring PA and sleep hours, 19,20 which are considered a valid procedure for stroke survivors.”
SmartCare—A comprehensive wearable sensor-based remote health monitoring and rehabilitation system
Raja, G. B. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-21505-6.00011-6 · Cited by 11 · see citing works
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“A systematic review and meta-analysis of Fitbit-based interventions for healthy lifestyles found a significant reduction in weight and increases in physical activity (steps) and moderate-to-vigorous physical activity [39].”
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“difference of 950 steps per day between the intervention and control groups (53).”
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Assessing the current utilization status of wearable devices in clinical research
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“18,19 Garmin also makes commercial-use devices that include assessing body energy levels, stress levels, menstrual cycle tracking, moisture intake tracking, breath rate, sleep monitoring, heart rate monitoring, breath-work (tracking stress conditions and breathing), and blood oxygen levels.”
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Are individuals with disabilities using wearable devices? A secondary data analysis of 2017 BRFSS
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“A systematic review and meta-analysis by Ringeval et al. [10] examining the effect of wearable devices intervention, particularly Fitbit devices (Fitbit Inc., San Francisco), on healthy lifestyle outcomes found that Fitbit device users had significant higher daily step count (mean difference [MD] ¼…”
BackgroundSteps towards digital tools for personalised physical activity promotion
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Sensor-Based Frailty Assessment Using Fitbit
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“Wearable technology, like the Fitbit smartwatch, offers a promising solution [9,10].”
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“RenderX patients [40].”
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The smart home, a true home? How new technologies disrupt the experience of home for older persons
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Exploring the Potential Impacts of Wearable Technology in Reshaping Healthcare
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“Fitbit, for example, is a well-known wearable that tracks sleep and exercise, encouraging a healthy lifestyle [52].”
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“This trend is grounded in prior literature demonstrating that wearable devices, such as Fitbit, contribute to promoting healthier lifestyles by assisting health professionals in monitoring patients and facilitating weight loss (Jo et al., 2019; Ringeval et al., 2020).”
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1-year physical activity coaching programme in lung transplant recipients: an RCT
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“Nowadays, step counter consumer devices or smart watches have become more available and are easy to implement in interventions, 20 but these are not specifically tailored to patients after LTX.”
- Authors
- Ringeval, M., Wagner, G., Denford, J., Paré, G., & Kitsiou, S.
- Affiliations
- HEC Montréal (CA)
- Royal Military College of Canada (CA)
- University of Illinois Chicago (US)
- Corresponding author
- Paré, Guy
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2020-10-12
- Volume
- 22
- Issue
- 10
- Pages
- e23954
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC7589007
- OpenAlex
- W3088108321
- Semantic Scholar
- 520125c6274cd347795bf0a5239c7704c465cdbd
- Cited by
- 225
- References
- 117
- Citations by year
- 2026: 21 · 2025: 36 · 2024: 56 · 2023: 38 · 2022: 49 · 2021: 23 · 2020: 1
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- Fitbit, wearable activity trackers, physical activity, sedentary behavior, weight change, step count, moderate-to-vigorous physical activity, healthy lifestyle intervention, intervention components, fuzzy-set qualitative comparative analysis, cardiovascular health, physical inactivity, self-monitoring, social support, goal setting, feedback, self-efficacy
- MeSH terms
- Healthy Lifestyle, Internet-Based Intervention, Humans, Prospective Studies, Sedentary Behavior
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