Using mHealth Technology to Enhance Self-Monitoring for Weight Loss
Open accessAbstract
Background Self-monitoring for weight loss has traditionally been performed with paper diaries. Technologic advances could reduce the burden of self-monitoring and provide feedback to enhance adherence. Purpose To determine if self-monitoring diet using a PDA only or the PDA with daily tailored feedback (PDA+FB), was superior to using a paper diary on weight loss and maintenance. Design The Self-Monitoring and Recording Using Technology (SMART) Trial was a 24-month RCCT; participants were randomly assigned to one of three self-monitoring groups. Setting/participants From 2006 to 2008, 210 overweight/obese adults (84.8% female, 78.1% white) were recruited from the community. Data were analyzed in 2011. Intervention Participants received standard behavioral treatment for weight loss which included dietary and physical activity goals, encouraged the use of self-monitoring, and was delivered in group sessions. Main outcome measures Percentage weight change at 24 months, adherence to self-monitoring over time. Results Study retention was 85.6%. The mean percentage weight loss at 24 months was not different among groups (paper diary: −1.94% [95% CI= −3.88, 0.01], PDA: −1.38% [95% CI= – 3.38, 0.62], PDA+FB: –2.32% [95% CI= –4.29, −0.35]); only the PDA+FB group (p=0.02) demonstrated a significant loss. For adherence to self-monitoring, there was a time-by-treatment group interaction between the combined PDA groups and the paper diary group (p=0.03) but no difference between PDA and PDA+FB groups (p=0.49). Across all groups, weight loss was greater for those who were adherent ≥60% versus <30% of the time, p<0.001. Conclusions PDA+FB use resulted in a small weight loss at 24 months; PDA use resulted in greater adherence to dietary self-monitoring over time. However, for sustained weight loss, adherence to self-monitoring is more important than the method used to self-monitor. A daily feedback message delivered remotely enhanced adherence and improved weight loss, which suggests that technology can play a role in improving weight loss.
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Written from the paper’s full text.
TL;DR
In a 24-month randomized trial of 210 overweight/obese adults, PDA-based self-monitoring with daily tailored feedback produced a small significant 24-month weight loss, while PDA use without feedback improved adherence to dietary self-monitoring more than paper diaries. Across groups, greater self-monitoring adherence was associated with greater weight loss, suggesting adherence matters more than self-monitoring method.
Key findings
- Mean percentage weight loss at 24 months did not differ among groups: paper diary −1.94% (95% CI −3.88, 0.01), PDA −1.38% (95% CI −3.38, 0.62), PDA+FB −2.32% (95% CI −4.29, −0.35); only PDA+FB showed significant within-group loss (p=0.02).
- Adherence to self-monitoring showed a time-by-treatment interaction between the combined PDA groups and the paper diary group (p=0.03), with no PDA vs PDA+FB difference (p=0.49); more PDA participants were adherent ≥60% than paper diary participants (PDA vs paper p=0.03; PDA+FB vs paper p=0.01).
- Across all groups, weight loss was greater for those adherent ≥60% versus <30% (p<0.001); at 18 months, 19%–20% of PDA groups remained adherent ≥30% compared with 8% of the paper diary group.
- Study retention was 85.6% in the abstract and 85.7% at 24 months in the results.
Methods
- 24-month RCT; 210 overweight/obese adults recruited from the community in 2006–2008 (84.8% female, 78.1% white); randomized to paper diary, PDA, or PDA+FB; all received standard behavioral weight loss treatment in group sessions.
- Primary outcome: percentage weight change at 24 months; secondary outcome: adherence to dietary self-monitoring, defined as percentage of days recording adequate calories, with nonadherence assumed if a diary was not submitted.
- Analysis: intent-to-treat; linear mixed modeling with linear contrasts, ANOVA, and generalized estimating equations; missing weight observations handled by assuming a 0.3 kg/month increase; SAS 9.1; two-sided significance at 0.05.
Limitations
- Stated: male representation was disappointing; recruitment strategies targeting men were implemented, but many eligible men did not complete screening. The paper also states that the impact of more-proximal feedback needs further investigation and that the novel design makes comparisons challenging.
- Stated/design: adherence to self-monitoring was limited to 18 months because there was only one contact in the final 6 months.
- Evident: the sample was predominantly female (84.8%) and white (78.1%), limiting generalizability; adherence relied on self-monitoring records, and missing weight data were imputed rather than fully observed.
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Cites
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Claims the paper makes
0 of 13 cited sources checked · 0 supported · 0 flagged
- Findingown data
The PDA+FB group had a mean percentage weight loss of −2.32% at 24 months (95% CI −4.29, −0.35).
“The mean percentage weight loss at 24 months was not different among groups (paper diary: −1.94% [95% CI= −3.88, 0.01], PDA: −1.38% [95% CI= – 3.38, 0.62], PDA+FB: –2.32% [95% CI= –4.29, −0.35]); only the PDA+FB group (p=0.02) demonstrated a significant loss.”
Quote in the paperSubstantial claim - Findingown data
Only the PDA+FB group demonstrated a significant weight loss at 24 months (p=0.02).
“A significant within-group difference in weight over time was found for the PDA+FB group (p=0.02) with an average 2.32% weight loss but not for the other two groups (paper diary: – 1.94%, PDA: –1.38%).”
Quote in the paperNot a substantial claim - Findingown data
Across all groups, weight loss was greater for those who were adherent ≥60% of the time versus <30% of the time (p<0.001).
“Across all groups, weight loss was greater for those who were adherent ≥60% versus <30% of the time, p<0.001.”
Quote in the paperSubstantial claim - Findingown data
The mean percentage weight loss at 24 months was not different among the paper diary, PDA, and PDA+FB groups.
“The mean percentage weight loss at 24 months was not different among groups (paper diary: −1.94% [95% CI= −3.88, 0.01], PDA: −1.38% [95% CI= – 3.38, 0.62], PDA+FB: –2.32% [95% CI= –4.29, −0.35]); only the PDA+FB group (p=0.02) demonstrated a significant loss.”
Quote in the paperSubstantial claim - Findingown data
There was no difference in adherence to self-monitoring between the PDA and PDA+FB groups (p=0.49).
“For adherence to self-monitoring, there was a time-by-treatment group interaction between the combined PDA groups and the paper diary group (p=0.03) but no difference between PDA and PDA+FB groups (p=0.49).”
Quote in the paperNot a substantial claim
- Findingown data
For adherence to self-monitoring, there was a time-by-treatment group interaction between the combined PDA groups and the paper diary group (p=0.03).
“For adherence to self-monitoring, there was a time-by-treatment group interaction between the combined PDA groups and the paper diary group (p=0.03) but no difference between PDA and PDA+FB groups (p=0.49).”
- Also stated in: § Self-Monitoring · plain
“Difference in adherence over time between the combined PDA and PDA+FB group and the paper diary group was significant (p=0.03).”
Quote in the paperSubstantial claim - Also stated in: § Self-Monitoring · plain
- Findingown data
The paper diary group had a mean percentage weight loss of −1.94% at 24 months (95% CI −3.88, 0.01).
“The mean percentage weight loss at 24 months was not different among groups (paper diary: −1.94% [95% CI= −3.88, 0.01], PDA: −1.38% [95% CI= – 3.38, 0.62], PDA+FB: –2.32% [95% CI= –4.29, −0.35]); only the PDA+FB group (p=0.02) demonstrated a significant loss.”
Quote in the paperNot a substantial claim - Findingown data
The PDA group had a mean percentage weight loss of −1.38% at 24 months (95% CI −3.38, 0.62).
“The mean percentage weight loss at 24 months was not different among groups (paper diary: −1.94% [95% CI= −3.88, 0.01], PDA: −1.38% [95% CI= – 3.38, 0.62], PDA+FB: –2.32% [95% CI= –4.29, −0.35]); only the PDA+FB group (p=0.02) demonstrated a significant loss.”
Quote in the paperNot a substantial claim - Findingown data
At 6 months, a higher proportion of the PDA+FB group achieved ≥5% weight loss.
“At 6 months, a higher proportion of the PDA+FB group achieved ≥5% weight loss; however, this was not sustained at 24 months.”
Quote in the paperNot a substantial claim - Findingown data
Mean weight at 24 months was below the mean baseline weight.
“Despite the weight regain among some participants, mean weight at 24 months was below the mean baseline weight.”
Quote in the paperNot a substantial claim - Findingown data
Overall, 52% (n=110) lost ≥5% of baseline body weight at 6 months.
“Overall, 52% (n=110) lost ≥5% of baseline body weight at 6 months; of that group, 19% retained that weight loss at 24 months with no differences among the groups.”
Quote in the paperNot a substantial claim - Findingown data
When self-monitoring adherence was examined by three levels (<30%, 30%-59%, ≥60%), weight loss was different (p<0.001).
“When self-monitoring adherence was examined by three levels (<30%, 30%–59%, ≥60%), weight loss was different (p<0.001).”
Quote in the paperSubstantial claim - Findingown data
The higher proportion of the PDA+FB group achieving ≥5% weight loss at 6 months was not sustained at 24 months.
“At 6 months, a higher proportion of the PDA+FB group achieved ≥5% weight loss; however, this was not sustained at 24 months.”
Quote in the paperNot a substantial claim - Findingown data
Participants in the PDA and PDA+FB groups whose adherence had declined to the 30%-59% category had weight losses similar to those who were ≥60% adherent.
“At 18 months, 19%–20% of the PDA groups remained adherent ≥30% of the time compared to 8% of the paper diary group; also, participants in the PDA and PDA+FB groups whose adherence had declined to the 30%–59% category, had weight losses similar to those who were ≥60% adherent.”
Quote in the paperSubstantial claim - Findingown data
Adherence to dietary self-monitoring strongly predicted weight loss at all time points.
“Adherence to dietary self-monitoring strongly predicted weight loss at all time points (Table 1; Figure 4)”
Quote in the paperSubstantial claim - Findingown data
At 18 months, 19%-20% of the PDA groups remained adherent ≥30% of the time compared to 8% of the paper diary group.
“At 18 months, 19%–20% of the PDA groups remained adherent ≥30% of the time compared to 8% of the paper diary group; also, participants in the PDA and PDA+FB groups whose adherence had declined to the 30%–59% category, had weight losses similar to those who were ≥60% adherent.”
Quote in the paperSubstantial claim - Findingown data
A greater proportion of the PDA groups, compared to the paper diary group, was adherent ≥60% of the time (PDA vs paper diary, p=0.03; PDA+FB vs paper diary, p=0.01).
“A greater proportion of the PDA groups, compared to paper diary group, was adherent ≥60% of the time (PDA vs paper diary, p=0.03; PDA+FB vs paper diary, p=0.01) and lost more weight than those who were <30% adherent (p<0.001).”
Quote in the paperSubstantial claim - Interpretationown data
PDA use resulted in greater adherence to dietary self-monitoring over time.
“PDA+FB use resulted in a small weight loss at 24 months; PDA use resulted in greater adherence to dietary self-monitoring over time.”
Quote in the paperSubstantial claim - Interpretationown data
For sustained weight loss, adherence to self-monitoring is more important than the method used to self-monitor.
“However, for sustained weight loss, adherence to self-monitoring is more important than the method used to self-monitor.”
- Also stated in: § Conclusion · boosted
“The results of this 2-year trial underscore the fact that adherence to self-monitoring is more important than the method chosen to self-monitor; however, the use of technology-based tools markedly improved self-monitoring adherence in a larger number and those participants lost more weight and also sustained the loss.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · boosted
- Study design and conductown data
There was no differential attrition among treatment groups at 24 months.
“Retention at 24 months was 85.7% with no differential attrition (see Figure 1).”
Quote in the paperNot a substantial claim - Interpretationcitation
Methodologic limitations in both studies preclude one from concluding that alternative approaches to the paper diary were superior.
“Methodologic limitations in both preclude one from concluding that alternative approaches to the paper diary were superior.”
Quote in the paperSubstantial claim - Interpretationown data
The PDA+FB group's achievement of a small weight loss in the absence of ongoing contact indicates that the use of an electronic diary plus feedback could increase adherence to a point that will enhance weight loss maintenance.
“The PDA+FB group’s achievement of a small weight loss in the absence of ongoing contact indicates that the use of an electronic diary plus feedback could increase adherence to a point that will enhance weight loss maintenance.”
Quote in the paperSubstantial claim- Rests on an assumption: Paper diaries are time-consuming and tedious to complete.
- Rests on an assumption: Paper diaries limit the timeliness of supportive and motivational feedback delivered by the interventionist due to the lag time between receipt of the paper diary and delivery of feedback to the participant.
- Interpretationreasoning
Informational and reinforcing feedback has the potential to increase self-monitoring and thus enhance goal attainment.
“Applied to the important behavior of self-monitoring, informational and reinforcing feedback has the potential to increase self-monitoring and thus enhance goal attainment.”
Quote in the paperSubstantial claim- Rests on an assumption: Paper diaries are time-consuming and tedious to complete.
- Rests on an assumption: Paper diaries limit the timeliness of supportive and motivational feedback delivered by the interventionist due to the lag time between receipt of the paper diary and delivery of feedback to the participant.
- Premisecitation
Adherence in the first 6 months of the POUNDS LOST trial predicted weight reduction throughout the trial.
“Adherence in the first 6 months of the POUNDS LOST trial predicted weight reduction throughout the trial.33”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Williamson, 2010, Adherence is a multi-dimensional construct in the POUNDS LOST trial, J Behav Med source
Not checked in the free run.
- Interpretationown data
The current findings strongly suggest that adherence to self-monitoring is associated with successful short- and long-term weight loss.
“The current findings strongly suggest that adherence to self-monitoring is associated with successful short- and long-term weight loss.”
Quote in the paperSubstantial claim - Study design and conductown data
The same conclusions were drawn regardless of the missing data approach used.
“however, the same conclusions were drawn regardless of the missing data approach used.”
Quote in the paperNot a substantial claim - Interpretationown data
The smaller weight loss observed in the current study was due to weight regain in the latter months.
“The smaller weight loss observed in the current study, which was due to weight regain in the latter months, reinforces the consistent finding that ongoing contact is needed to sustain adherence and the associated long-term weight loss.10, 11”
Quote in the paperSubstantial claim - Study design and conductown data
Sensitivity analyses for suspected influential cases supported the robustness of the findings as conclusions were maintained following case omission.
“Additionally, sensitivity analyses for suspected influential cases supported the robustness of the findings as conclusions were maintained following case omission.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The sole difference among the groups was the mode of self-monitoring that they were asked to use.
“The sole difference among the groups was the mode of self-monitoring that they were asked to use.”
Quote in the paperSubstantial claim - Premisecitation
Ongoing contact is needed to sustain adherence and the associated long-term weight loss.
“The smaller weight loss observed in the current study, which was due to weight regain in the latter months, reinforces the consistent finding that ongoing contact is needed to sustain adherence and the associated long-term weight loss.10, 11”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Svetkey, 2008, Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial, JAMA source
Not checked in the free run.
- cites [11] Wing, 2006, A self-regulation program for maintenance of weight loss, N Engl J Med source
Not checked in the free run.
- Interpretationown data
Technology can play a role in improving weight loss.
“A daily feedback message delivered remotely enhanced adherence and improved weight loss, which suggests that technology can play a role in improving weight loss.”
Quote in the paperSubstantial claim - Premisecitation
Ongoing contact is a strategy that enhances long-term adherence.
“research provides evidence that ongoing contact is a strategy that enhances long-term adherence.12”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Artinian, 2010, Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults, Circulation source
Not checked in the free run.
- May combine two claims. 13
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 8
May combine two claims.
Findingown dataOf those who lost ≥5% of baseline body weight at 6 months, 19% retained that weight loss at 24 months with no differences among the groups.
“Overall, 52% (n=110) lost ≥5% of baseline body weight at 6 months; of that group, 19% retained that weight loss at 24 months with no differences among the groups.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataA daily feedback message delivered remotely enhanced adherence and improved weight loss.
“A daily feedback message delivered remotely enhanced adherence and improved weight loss, which suggests that technology can play a role in improving weight loss.”
- Also stated in: § Conclusion · boosted
“In addition, the current results demonstrate that a daily feedback message delivered remotely enhanced adherence and improved weight loss, which has major implications for the potential use of technology such as smartphones in improving weight loss treatment.”
Quote in the paperSubstantial claim- Also stated in: § Conclusion · boosted
The quote only partly states this claim.
Study design and conductown dataStudy retention at 24 months was 85.6%.
“Study retention was 85.6%.”
- Also stated in: § Results · plain
“Retention at 24 months was 85.7% with no differential attrition (see Figure 1).”
Quote in the paperNot a substantial claim- Also stated in: § Results · plain
May combine two claims.
Interpretationown dataAt 18 months, the weight losses in the PDA groups were similar between those who were in the upper two categories of adherence (>60% and 30%-59%), suggesting that those who were using a PDA were able to maintain the weight loss at a lower level of self-monitoring adherence after engaging in this behavior for several months.
“Also, at 18 months, the weight losses in the PDA groups were similar between those who were in the upper two categories of adherence (>60% and 30%–59%), suggesting that those who were using a PDA were able to maintain the weight loss at a lower level of self-monitoring adherence after engaging in this behavior for several months.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationEvidence has continued to build, demonstrating a consistent relationship between self-monitoring and weight loss and weight loss maintenance.
“Since then, the evidence has continued to build, demonstrating a consistent relationship between self-monitoring and weight loss7 and weight loss maintenance.8”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe sample size of 210 was chosen to have at least 0.80 power for two-sided hypothesis testing via linear contrasts from a linear mixed model at a significance level of 0.05 when comparing changes in weight at 6, 12, 18 and 24 months relative to baseline between the combined PDA groups and the paper diary group at a standardized mean difference (d) of 0.48 and between the PDA group and the PDA+FB组
“The sample size of 210 was chosen to have at least 0.80 power for two-sided hypothesis testing via linear contrasts from a linear mixed model at a significance level of 0.05 when comparing changes in weight at 6, 12, 18 and 24 months relative to baseline between (1) the combined PDA groups (PDA, PDA+FB) and the paper diary group at a standardized mean difference (d) of 0.48 and (2) the PDA group”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataParticipants were randomly assigned, with equal allocation via a computer-implemented minimization algorithm that stratified on gender and race.
“For each cohort, participants were randomly assigned, with equal allocation via a computer-implemented minimization algorithm that stratified on gender and race, to either the Paper Diary, PDA, or PDA+FB group.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWeight was measured on a digital scale by study staff at each assessment.
“At each assessment, the participants’ weight was measured on a digital scale by study staff.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationImmediate positive reinforcement for a desired behavior leads to increases in the behavior; the more proximal the reinforcer to the desired behavior, the more likely it will be to increase the desired behavior.
“A wealth of empirical evidence demonstrates that immediate positive reinforcement for a desired behavior leads to increases in the behavior; the more proximal the reinforcer to the desired behavior, the more likely it will be to increase the desired behavior.13”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Powers, 1976
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataCompleters had a lower baseline BMI than noncompleters (33.74 vs 35.62, p=0.04).
“Completers also had a lower baseline BMI (33.74 (4.44) vs 35.62 (4.47), p=0.04).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTwo studies that focused on self-monitoring methods reported an association between self-monitoring and weight loss; however, neither reported group differences in weight loss.
“Two studies that focused on self-monitoring methods reported an association between self-monitoring and weight loss; however, neither reported group differences in weight loss.25, 26”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [25] Helsel, 2007, Comparison of techniques for self-monitoring eating and exercise behaviors on weight loss in a correspondence-based intervention, J Am Diet Assoc source
Not checked in the free run.
- cites [26] Yon, 2007, Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program, J Behav Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataCompleters were older than noncompleters (47.66 vs 41.77 years, p<0.001).
“Completers were older than noncompleters (47.66 (8.38) years vs 41.77(10.95) years, p<0.001), which may have been influenced by three pregnancy-related withdrawals.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAfter participants were trained in their assigned self-monitoring method, session materials were identical for the groups.
“After participants were trained in their assigned self-monitoring method, session materials were identical for the groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationThe rapid advancement and adoption of wireless devices provide numerous opportunities for the incorporation of mHealth interventions for the delivery of feedback to individuals engaged in weight loss treatment.
“The rapid advancement and adoption of wireless devices provide numerous opportunities for the incorporation of mHealth interventions for the delivery of feedback to individuals engaged in weight loss treatment.14, 15”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Patrick, 2008, Health and the mobile phone, Am J Prev Med source
Not checked in the free run.
- cites [15] Tufano, 2005, Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends, J Med Internet Res source
Not checked in the free run.
- Rests on an assumption: Paper diaries are time-consuming and tedious to complete.
- Rests on an assumption: Paper diaries limit the timeliness of supportive and motivational feedback delivered by the interventionist due to the lag time between receipt of the paper diary and delivery of feedback to the participant.
May combine two claims.
Interpretationown dataMethod of self-monitoring was notably related to self-monitoring adherence, and that, in turn, was related to weight loss maintenance.
“when subgroups by level of adherence were examined, method of self-monitoring was notably related to self-monitoring adherence, and that, in turn, was related to weight loss maintenance (Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe use of technology-based tools markedly improved self-monitoring adherence in a larger number and those participants lost more weight and also sustained the loss.
“The results of this 2-year trial underscore the fact that adherence to self-monitoring is more important than the method chosen to self-monitor; however, the use of technology-based tools markedly improved self-monitoring adherence in a larger number and those participants lost more weight and also sustained the loss.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe treatment groups did not differ by sociodemographic or baseline anthropometric measures.
“The treatment groups did not differ by sociodemographic or baseline anthropometric measures.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenIntent-to-treat principle was used, where subjects were analyzed as randomized.
“Intent-to-treat principle was used, where subjects were analyzed as randomized.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataMore participants in the PDA groups achieved ≥60% adherence; those individuals lost more weight and maintained most of it.
“Moreover, more participants in the PDA groups achieved ≥60% adherence; those individuals lost more weight and maintained most of it.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationTwo studies have shown enhanced adherence with PDA use; however, the observation period was limited to 1 month.
“Two studies have shown enhanced adherence with PDA use; however, the observation period was limited to 1 month.27, 28”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [27] Beasley, 2008, Evaluation of a PDA-based dietary assessment and intervention program: a randomized controlled trial, J Am Coll Nutr source
Not checked in the free run.
- cites [28] Glanz, 2006, Improving dietary self-monitoring and adherence with hand-held computers: a pilot study, Am J Health Promot source
Not checked in the free run.
The paper relies on this without support.
Paper diaries are time-consuming and tedious to complete.
“The most frequently used method to self-monitor diet is the paper diary, which can be timeconsuming and tedious to complete.”
The paper relies on this without support.
Paper diaries limit the timeliness of supportive and motivational feedback delivered by the interventionist due to the lag time between receipt of the paper diary and delivery of feedback to the participant.
“Paper diaries also limit the timeliness of supportive and motivational feedback delivered by the interventionist due to the lag time between receipt of the paper diary and delivery of feedback to the participant.”
The paper relies on this without support.
No other study has examined the effect of mobile technology with or without feedback on weight loss and adherence to self-monitoring during a 2-year behavioral treatment study.
“No other study has examined the effect mobile technology with or without feedback on weight loss and adherence to self-monitoring during a 2-year behavioral treatment study.”
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?
Greater improvement in health behaviors is produced by intensive behavioral treatments that incorporate multiple counseling sessions, each lasting ≥10 minutes.
“Greater improvement in health behaviors is produced by intensive behavioral treatments, that is, those that incorporate multiple counseling sessions, each lasting ≥10 minutes.18-20,22–24,29–31”
From Better Population Health Through Behavior Change in Adults: A Call to Action (2013) · cites this paper as [23]
Findings confirm modest but significant impacts of brief physician advice or intervention on smoking cessation, improved dietary quality, and increased physical activity.
“Findings confirm modest but significant impacts of brief physician advice or intervention on smoking cessation, improved dietary quality, and increased physical activity.14,15,19,22–27”
From Better Population Health Through Behavior Change in Adults: A Call to Action (2013) · cites this paper as [23]
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.
Feedback conclusion conflicts with reported adherence comparison
MajorThe conclusion says daily feedback enhanced adherence, but the reported comparison found no difference in adherence between the PDA group and the PDA+FB group.
“A daily feedback message delivered remotely enhanced adherence and improved weight loss”
“no difference between PDA and PDA+FB groups (p=0.49).”
Two different 24-month retention rates
MinorThe abstract reports 85.6% retention, while the Results section reports 85.7% retention at 24 months.
“Study retention was 85.6%.”
“Retention at 24 months was 85.7% with no differential attrition (see Figure 1).”
Cites
Comparison of Weight-Loss Diets with Different Compositions of Fat, Protein, and Carbohydrates
Sacks, F. M., Bray, G. A., Carey, V. J., Smith, S. R., Ryan, D. H., Anton, S. D., McManus, K., Champagne, C. M., Bishop, L. M., Laranjo, N., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0804748 · Cited by 1,966 · cited 1× · see citing works
“29 Foster and colleagues compared a low-carbohydrate to a low-fat diet and conducted group sessions.”
BackgroundLong-term weight loss maintenance
Wing, R. R., & Phelan, S. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.1.222s · Cited by 1,941 · cited 1× · see citing works
“8 Few studies have tested strategies for long-term maintenance of weight loss 9–11 ; however, research provides evidence that ongoing contact is a strategy that enhances long-term adherence.”
BackgroundSelf-monitoring in weight loss: a systematic review of the literature
Burke, L. E., Wang, J., & Sevick, M. A. (2011) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.10.008 · Cited by 1,203 · cited 1× · see citing works
“6 Since then, the evidence has continued to build, demonstrating a consistent relationship between self-monitoring and weight loss 7 and weight loss maintenance.”
BackgroundSelf-citationIntroduction to sample size determination and power analysis for clinical trials
Lachin, J. M. (1981) · Controlled Clinical Trials · doi:10.1016/0197-2456(81)90001-5 · Cited by 1,012 · see citing works
Artinian, N. T., Fletcher, G. F., Mozaffarian, D., Kris-Etherton, P., Van Horn, L., Lichtenstein, A. H., Kumanyika, S., Kraus, W. E., Fleg, J. L., Redeker, N. S., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3181e8edf1 · Cited by 919 · cited 1× · see citing works
“12 The use of an electronic diary with automatic feedback could potentially serve as a form of contact.”
BackgroundSelf-citationA self-regulation program for maintenance of weight loss
Wing, R. R., Tate, D. F., Gorin, A. A., Raynor, H. A., & Fava, J. L. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061883 · Cited by 830 · cited 2× · see citing works
“10, 11 Although improved self-monitoring adherence did not result in better weight loss maintenance, when subgroups by level of adherence were examined, method of self-monitoring was notably related to self-monitoring adherence, and that, in turn, was related to weight loss maintenance (Table 1).”
BackgroundRandomized Trial of Lifestyle Modification and Pharmacotherapy for Obesity
Wadden, T. A., Berkowitz, R. I., Womble, L. G., Sarwer, D. B., Phelan, S., Cato, R. K., Hesson, L. A., Osei, S. Y., Kaplan, R., & Stunkard, A. J. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050156 · Cited by 794 · cited 1× · see citing works
“23 Adherence in the first 6 months of the POUNDS LOST trial predicted weight reduction throughout the trial.”
BackgroundSvetkey, L. P. (2008) · JAMA · doi:10.1001/jama.299.10.1139 · Cited by 748 · cited 1× · see citing works
“10, 11 Although improved self-monitoring adherence did not result in better weight loss maintenance, when subgroups by level of adherence were examined, method of self-monitoring was notably related to self-monitoring adherence, and that, in turn, was related to weight loss maintenance (Table 1).”
BackgroundA Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671 · see citing works
Goodpaster, B. H., DeLany, J. P., Otto, A. D., Kuller, L., Vockley, J., South-Paul, J. E., Thomas, S. B., Brown, J., McTigue, K., Hames, K. C., et al. (2010) · JAMA · doi:10.1001/jama.2010.1505 · Cited by 558 · cited 1× · see citing works
“3,4 The core behavioral change strategies, based on social cognitive theory, include multiple components.”
BackgroundFoster, G. D., Wyatt, H. R., Hill, J. O., Makris, A. P., Rosenbaum, D. L., Brill, C., Stein, R. I., Mohammed, B. S., Miller, B., Rader, D. J., et al. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-3-201008030-00005 · Cited by 520 · cited 1× · see citing works
“30 Although the behavioral intervention for these studies lasted the full 2 years, the reported retention was 80% for Sacks et al. and 63% for Foster et al., compared to 85.6% in the current study where there was only one session in the last 6 months.”
ResultInfluentialEfficacy of Lifestyle Modification for Long‐Term Weight Control
Wadden, T. A., Butryn, M. L., & Byrne, K. J. (2004) · Obesity Research · doi:10.1038/oby.2004.282 · Cited by 511 · cited 1× · see citing works
“1 The structured group behavioral weight loss program, which incorporates these three components, is the most efficacious nonmedical treatment for moderate obesity 2 and, more recently, for the treatment of severe obesity.”
BackgroundPatrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.05.001 · Cited by 479 · see citing works
Lifestyle modification for the management of obesity
Wadden, T. A., Butryn, M. L., & Wilson, C. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.03.051 · Cited by 406 · see citing works
Burke, L. E., Conroy, M. B., Sereika, S. M., Elci, O. U., Styn, M. A., Acharya, S. D., Sevick, M. A., Ewing, L. J., & Glanz, K. (2011) · Obesity · doi:10.1038/oby.2010.208 · Cited by 329 · cited 1× · see citing works
“The study design and methods for this 24-month RCT have been detailed elsewhere 17, 18 and thus are briefly reviewed here.”
MethodSelf-citationPerri, M. G., Limacher, M. C., Durning, P. E., Janicke, D. M., Lutes, L. D., Bobroff, L. B., Dale, M. S., Daniels, M. J., Radcliff, T. A., & Martin, A. D. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.21.2347 · Cited by 266 · cited 1× · see citing works
“8 Few studies have tested strategies for long-term maintenance of weight loss 9–11 ; however, research provides evidence that ongoing contact is a strategy that enhances long-term adherence.”
BackgroundGerber, B. S., Stolley, M. R., Thompson, A. L., Sharp, L. K., & Fitzgibbon, M. (2009) · Health Informatics Journal · doi:10.1177/1460458208099865 · Cited by 215 · cited 1× · see citing works
“31, 32 The greater weight loss among those who were adherent ≥60% of the time in all groups suggests that self-monitoring adherence is more important than self-monitoring method.”
BackgroundThe Maintenance of Behavior by Self-Generated Stimuli and Reinforcement
Kanfer, F. H. (1971) · Elsevier eBooks · doi:10.1016/b978-0-12-379650-9.50009-5 · Cited by 211 · cited 1× · see citing works
“This randomized, three-group behavioral clinical trial drawing on Kanfer’s self-regulation model, 16 sought to determine if self-monitoring diet using a PDA alone (PDA) or with daily tailored feedback (PDA+FB) was superior to using a conventional paper diary on weight loss and weight loss…”
MethodBehavioral Approaches to the Treatment of Obesity
Bray, G. A., & Bouchard, C. (2003) · CRC Press eBooks · doi:10.1201/b14234-12 · Cited by 202 · see citing works
Yon, B. A., Johnson, R. K., Harvey-Berino, J., Gold, B. C., & Howard, A. B. (2007) · Journal of Behavioral Medicine · doi:10.1007/s10865-006-9092-1 · Cited by 175 · cited 1× · see citing works
“25, 26 Methodologic limitations in both preclude one from concluding that alternative approaches to the paper diary were superior.”
BackgroundHelsel, D. L., Jakicic, J. M., & Otto, A. D. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.07.014 · Cited by 169 · cited 1× · see citing works
“25, 26 Methodologic limitations in both preclude one from concluding that alternative approaches to the paper diary were superior.”
BackgroundHandbook of obesity—clinical applications
Levine, A. S. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.3.794a · Cited by 151 · see citing works
Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
Tufano, J. T., & Karras, B. T. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.5.e58 · Cited by 123 · see citing works
Burke, L. E., Styn, M. A., Glanz, K., Ewing, L. J., Elci, O. U., Conroy, M. B., Sereika, S. M., Acharya, S. D., Music, E., Keating, A. L., et al. (2009) · Contemporary Clinical Trials · doi:10.1016/j.cct.2009.07.003 · Cited by 121 · cited 2× · see citing works
“The study design and methods for this 24-month RCT have been detailed elsewhere 17, 18 and thus are briefly reviewed here.”
MethodSelf-citationHandbook of Obesity: Clinical Applications
Bray, G. A., & Bouchard, C. (2003) · Cited by 100 · see citing works
The Psychology of Private Events
(1971) · Elsevier eBooks · doi:10.1016/c2013-0-10909-9 · Cited by 100 · see citing works
Evaluation of a PDA-based dietary assessment and intervention program: a randomized controlled trial
Beasley, J. M., Riley, W. T., Davis, A., & Singh, J. (2008) · Journal of the American College of Nutrition · doi:10.1080/07315724.2008.10719701 · Cited by 99 · cited 2× · see citing works
“Individuals were eligible if they were aged ≤59 years with a BMI between 27 and 43.”
MethodResultImproving Dietary Self-Monitoring and Adherence with Hand-Held Computers: A Pilot Study
Glanz, K., Murphy, S., Moylan, J., Evensen, D., & Curb, J. D. (2006) · American Journal of Health Promotion · doi:10.4278/0890-1171-20.3.165 · Cited by 93 · cited 1× · see citing works
“27, 28 The current weight change and retention results can be compared to two other 2-year weight loss studies that used SBT but not PDAs.”
ResultSelf-citationBurke, L. E., Hudson, A. G., Warziski, M. T., Styn, M. A., Music, E., Elci, O. U., & Sereika, S. M. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/86.3.588 · Cited by 66 · see citing works
Self-citationSperduto, W. A., Thompson, H. S., & O'Brien, R. M. (1986) · Addictive Behaviors · doi:10.1016/0306-4603(86)90060-2 · Cited by 60 · cited 1× · see citing works
“6 Since then, the evidence has continued to build, demonstrating a consistent relationship between self-monitoring and weight loss 7 and weight loss maintenance.”
BackgroundAdherence is a multi-dimensional construct in the POUNDS LOST trial
Williamson, D. A., Anton, S. D., Han, H., Champagne, C. M., Allen, R., LeBlanc, E., Ryan, D. H., McManus, K., Laranjo, N., Carey, V. J., et al. (2010) · Journal of Behavioral Medicine · doi:10.1007/s10865-009-9230-7 · Cited by 58 · see citing works
Mossavar‐Rahmani, Y., Henry, H. J., Rodabough, R. J., Bragg, C., Brewer, A., Freed, T., Kinzel, L. S., Pedersen, M., Soule, C. O., & Vosburg, S. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2003.10.017 · Cited by 52 · cited 1× · see citing works
“Findings from another long-term trial, the Women’s Health Initiative, 34 suggested that improved tools for self-monitoring are needed to enhance adherence in long-term clinical trials.”
BackgroundBurke, L. E., Choo, J., Music, E., Warziski, M., Styn, M. A., Kim, Y., & Sevick, M. A. (2005) · Contemporary Clinical Trials · doi:10.1016/j.cct.2005.08.002 · Cited by 51 · cited 1× · see citing works
“…behavioral intervention, a slightly modified version of the Paving the Road to Everlasting Food and Exercise Routines (PREFER) Trial intervention, 19 was based on social cognitive theory and comprised four main components: (1) group sessions; (2) goal-setting and self-monitoring; (3) daily…”
MethodSelf-citationThe State of Obesity and Obesity Research
Ryan, D. H., & Kushner, R. F. (2010) · JAMA · doi:10.1001/jama.2010.1531 · Cited by 28 · cited 1× · see citing works
“3,4 The core behavioral change strategies, based on social cognitive theory, include multiple components.”
BackgroundPowers, R. B., & Osborne, J. G. (1976) · Medical Entomology and Zoology · Cited by 21 · see citing works
Flagged first, then by citations
2 of the 37 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Burke, 2009, SMART trial: a randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings, Contemp Clin Trials, 30, 540, 10.1016/j.cct.2009.07.003 · DOI · Paper page
- Burke, 2011, The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial, Obesity, 19, 338, 10.1038/oby.2010.208 · DOI · Paper page
Cited by
Sorted by citations
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
“Three trials reported no statistically significant effects on weight of a diary-plus-mobile-phone daily feedback messages compared to a diary [54], a text message based intervention [55], and a twitter, podcast, and mobile phone application based intervention [56].”
Allcott, H., & Rogers, T. (2014) · American Economic Review · doi:10.1257/aer.104.10.3003 · Cited by 1,340 · see citing works
“…and Volpp 2013; Royer, Stehr, and Sydnor 2013), smoking (Gine, Karlan, and Zinman 2010; Volpp et al. 2009), weight loss (Anderson et al. 2009; Burke et al. 2012; John et al. 2011), water conservation (Ferraro, Miranda, and Price 2011; Ferraro and Price 2013), academic performance (Jackson…”
Lifestyle modification approaches for the treatment of obesity in adults.
Wadden, T. A., Tronieri, J. S., & Butryn, M. L. (2020) · American Psychologist · doi:10.1037/amp0000517 · Cited by 661 · see citing works
“In RCTs, participants assigned to monitor food intake with smartphone apps completed significantly more food records than those instructed to keep paper diaries (Burke et al., 2012; Spring et al., 2017).”
BackgroundBurke, L. E., Ma, J., Azar, K. M. J., Bennett, G. G., Peterson, E. D., Zheng, Y., Riley, W., Stephens, J., Shah, S. H., Suffoletto, B., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000232 · Cited by 516 · see citing works
Self-citationTurner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001510 · Cited by 373 · see citing works
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017) · Advances in Nutrition · doi:10.3945/an.116.014100 · Cited by 310 · see citing works
Crowdsourcing Applications for Public Health
Brabham, D. C., Ribisl, K. M., Kirchner, T., & Bernhardt, J. M. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.10.016 · Cited by 254 · see citing works
Integrating Technology Into Standard Weight Loss Treatment: A Randomized Controlled Trial
Spring, B., Duncan, J. M., Janke, E. A., Kozak, A. T., McFadden, H. G., DeMott, A., Pictor, A., Epstein, L. H., Siddique, J., Pellegrini, C. A., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1221 · Cited by 234 · see citing works
“In contrast, prior weight loss interventions mediated by mobile devices sent automated rather than personally crafted text messages and delayed feedback on participants’ hand-delivered data for at least a week because coaches needed time to study it.(12,26,28,29) When used to record diet and activity without behaviora…”
Bond, D. S., Thomas, J. G., Raynor, H. A., Moon, J., Sieling, J., Trautvetter, J., Leblond, T. L., & Wing, R. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100821 · Cited by 202 · see citing works
Patel, M. L., Wakayama, L. N., & Bennett, G. G. (2021) · Obesity · doi:10.1002/oby.23088 · Cited by 206 · see citing works
“Secondary aim 2: Comparison of digital versus paperbased selfmonitoring Nine trials (representing 34 comparisons) reported engagement outcomes between participants who selfmonitored via digital health and those who selfmonitored via paper (35,40,44,49,59,66,69,73,80).”
BackgroundPapakonstantinou, E., Oikonomou, C., Nychas, G., & Dimitriadis, G. D. (2022) · Nutrients · doi:10.3390/nu14040823 · Cited by 199 · see citing works
Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation
Dicianno, B. E., Parmanto, B., Fairman, A. D., Crytzer, T. M., Yu, D. X., Pramana, G., Coughenour, D., & Petrazzi, A. (2014) · Physical Therapy · doi:10.2522/ptj.20130534 · Cited by 197 · see citing works
Better Population Health Through Behavior Change in Adults: A Call to Action
Spring, B., Ockene, J. K., Gidding, S. S., Mozaffarian, D., Moore, S., Rosal, M. C., Brown, M. D., Vafiadis, D. K., Cohen, D. L., Burke, L. E., et al. (2013) · Circulation · doi:10.1161/01.cir.0000435173.25936.e1 · Cited by 195 · see citing works
Self-citationCognitive behavioral therapy to aid weight loss in obese patients: current perspectives
Castelnuovo, G., Pietrabissa, G., Manzoni, G. M., Cattivelli, R., Rossi, A., Novelli, M., Varallo, G., & Molinari, E. (2017) · Psychology Research and Behavior Management · doi:10.2147/prbm.s113278 · Cited by 187 · see citing works
“Moreover, the mHealth applications have achieved positive results in adult obesity 118,122 and in childhood obesity too.”
BackgroundMobile apps for healthy living: Factors influencing continuance intention for health apps
Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120644 · Cited by 182 · see citing works
Wharton, C. M., Johnston, C. S., Cunningham, B. K., & Sterner, D. A. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.04.291 · Cited by 183 · see citing works
mHealth approaches to child obesity prevention: successes, unique challenges, and next directions
Tate, E. B., Spruijt‐Metz, D., O’Reilly, G. A., Jordan‐Marsh, M., Gotsis, M., Pentz, M. A., & Dunton, G. F. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0222-3 · Cited by 172 · see citing works
“A second benefit is that mHealth tools have the capacity to collect data frequently, unobtrusively, and in interactive ways that can boost self-monitoring adherence in weight loss programs [50].”
BackgroundUsing a Wearable Camera to Increase the Accuracy of Dietary Analysis
O’Loughlin, G., Cullen, S., McGoldrick, A., O’Connor, S., Blain, R. J., O’Malley, S., & Warrington, G. D. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.11.007 · Cited by 169 · see citing works
Form of delivery as a key ‘active ingredient’ in behaviour change interventions
Dombrowski, S. U., O’Carroll, R. E., & Williams, B. (2016) · British Journal of Health Psychology · doi:10.1111/bjhp.12203 · Cited by 168 · see citing works
Awareness and Use of mHealth Apps: A Study from England
Kayyali, R., Peletidi, A., Ismail, M. F., Hashim, Z., Bandeira, P., & Bonnah, J. (2017) · Pharmacy · doi:10.3390/pharmacy5020033 · Cited by 158 · see citing works
“ineff ctive f th participant i unwill g to b cons stent and honest, and it also loses its effectiveness if it i overused [27,28].”
BackgroundLee, H. E., & Cho, J. (2016) · Health Communication · doi:10.1080/10410236.2016.1167998 · Cited by 163 · see citing works
“While a number of functions have been identified (Burke et al., 2012; Helander, Kaipainen, Korhonen, & Wansink, 2014; West et al., 2013; Wharton, Johnston, Cunningham, & Sterner, 2014), the following have been most commonly addressed: (1) tracking diet/fitness activities (e.g., daily history), (2)…”
BackgroundThe relative validity of a food record using the smartphone application MyFitnessPal
Teixeira, V., Voci, S. M., Mendes-Netto, R. S., & da Silva, D. G. (2017) · Nutrition & Dietetics · doi:10.1111/1747-0080.12401 · Cited by 159 · see citing works
Schembre, S. M., Liao, Y., Robertson, M. C., Dunton, G. F., Kerr, J., Haffey, M. E., Burnett, T., Basen-Engquist, K., & Hicklen, R. S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8701 · Cited by 154 · see citing works
“In 10 studies [21,25,30,31, 33,35-37,43,49], feedback was available continuously, in 3 [27,45,46], feedback was provided at multiple times daily, and in 18 [22-24,26,28,29,32,34,38-42,44,47,48,50,51,53], feedback was provided once daily.”
BackgroundMethodInfluentialMobile Health Applications in Weight Management: A Systematic Literature Review
Dounavi, K., & Tsoumani, O. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.12.005 · Cited by 154 · see citing works
“These include the effortless self-monitoring of diet and physical activity, tailored feedback provision, reminders for app use, and interaction with peers.(48,63) The integration of such features increases user engagement with the treatment, which, in turn, promotes successful weight management.”
BackgroundChin, S. O., Keum, C., Woo, J., Park, J., Choi, H. J., Woo, J., & Rhee, S. Y. (2016) · Scientific Reports · doi:10.1038/srep34563 · Cited by 138 · see citing works
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138 · see citing works
“Others, such as mPOD [64, 65] and DietMatePro [66, 67], allowed recording dietary intake and physical activity, and accordingly provided individualized counseling via twitter or phone calls [68].”
MethodSteinberg, D. M., Bennett, G., & Svetkey, L. (2017) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2017.1628 · Cited by 124 · see citing works
Munir, F., Biddle, S., Davies, M. J., Dunstan, D. W., Esliger, D., Gray, L. J., Jackson, B. R., O'Connell, S. E., Yates, T. E., & Edwardson, C. L. (2018) · BMC Public Health · doi:10.1186/s12889-018-5187-1 · Cited by 140 · see citing works
“result in greater achievement of behaviour change goals [28].”
BackgroundLeung, L., & Chen, C. (2019) · Telecommunications Policy · doi:10.1016/j.telpol.2019.01.005 · Cited by 151 · see citing works
Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice
Ghelani, D. P., Moran, L., Johnson, C., Mousa, A., & Naderpoor, N. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00412 · Cited by 125 · see citing works
Lyzwinski, L. N. (2014) · Journal of Personalized Medicine · doi:10.3390/jpm4030311 · Cited by 120 · see citing works
DeVito Dabbs, A., Song, M. K., Myers, B. A., Li, R., Hawkins, R. P., Pilewski, J. M., Bermudez, C. A., Aubrecht, J., Begey, A., Connolly, M., et al. (2016) · American Journal of Transplantation · doi:10.1111/ajt.13701 · Cited by 120 · see citing works
Review of Innovations in Digital Health Technology to Promote Weight Control
Thomas, J. G., & Bond, D. S. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0485-1 · Cited by 115 · see citing works
Mason, A. E., Jhaveri, K., Cohn, M., & Brewer, J. A. (2018) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9884-5 · Cited by 106 · see citing works
“2011), a mixed methods intervention that included in-person group meetings and smartphone-based dietary selfmonitoring (85%; Burke et al., 2012), and a mobile intervention that included text messages, apps, coaching calls, and emails that targeted weight-gain prevention (88%; Allman-Farinelli et al.”
BackgroundTechnology-based interventions in the treatment of overweight and obesity: A systematic review.
Raaijmakers, L. C. H., Pouwels, S., Berghuis, K., & Nienhuijs, S. (2015) · Appetite · doi:10.1016/j.appet.2015.07.008 · Cited by 103 · see citing works
“Most interventions in these structured programs were based on Bandura's Social Cognitive Theory (Allen et al., 2013; Bandura, 1986; Blomfield et al., 2014; Burke et al., 2012; Cadmus-Bertram et al., 2013; Collins et al., 2012; Morgan et al., 2011).”
BackgroundMethodInfluentialSteinberg, D., Levine, E. L., Askew, S., Foley, P. B., & Bennett, G. G. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2844 · Cited by 110 · see citing works
“Indeed, evidence does show that electronic self-monitoring via either Web or mobile devices produces greater adherence over traditional paper-and-pencil methods [4,7,8] and improves attitudes toward self-monitoring behaviors [9].”
InfluentialIT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review
Jiang, J., & Cameron, A. (2020) · MIS Quarterly · doi:10.25300/misq/2020/15108 · Cited by 108 · see citing works
Steinberg, D., Bennett, G. G., Askew, S., & Tate, D. F. (2015) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.12.011 · Cited by 108 · see citing works
Þorgeirsson, T., & Kawachi, I. I. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.10.008 · Cited by 108 · see citing works
Forman, E. M., Goldstein, S. P., Crochiere, R. J., Butryn, M. L., Juarascio, A. S., Zhang, F., & Foster, G. D. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz137 · Cited by 94 · see citing works
Hutchesson, M., Rollo, M. E., Callister, R., & Collins, C. E. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.07.036 · Cited by 102 · see citing works
Hutchesson, M., Tan, C. Y., Morgan, P. J., Callister, R., & Collins, C. E. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4100 · Cited by 99 · see citing works
“Burke et al [9] randomly assigned participants to self-monitor their dietary intake using 3 approaches: a personal digital assistant with no feedback; a personal digital assistant with daily tailored automated feedback; or a paper-based diary with no feedback.”
The Dozen Things Experimental Economists Should Do (More of)
Czibor, E., Jimenez‐Gomez, D., & List, J. A. (2019) · Southern Economic Journal · doi:10.1002/soej.12392 · Cited by 97 · see citing works
“…2013; Royer et al., 2015; Acland and Levy, 2015), smoking cessation (Volpp et al., 2006, 2009; Giné et al., 2010), weight loss (Volpp et al., 2008; Burke et al., 2012; John et al., 2011; Anderson et al., 2009), charitable giving (Meier, 2007; Shang and Croson, and Frey (2016) offer a review of…”
Thomas, J. G., Bond, D. S., Raynor, H. A., Papandonatos, G. D., & Wing, R. R. (2019) · Obesity · doi:10.1002/oby.22410 · Cited by 108 · see citing works
“(14) showed that, compared with paper diaries, use of electronic tools for tracking diet and providing feedback produced the best adherence to self-monitoring and weight loss outcomes at 24 months, although this study involved in-person treatment.”
BackgroundMaxhuni, A., Muñoz-Meléndez, A., Osmani, V., Perez, H., Mayora, O., & Morales, E. F. (2016) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2016.01.008 · Cited by 93 · see citing works
“[26] suggests thatmobile assessment providesmore efficacious strategy for trackingmood andbehaviour change in mental disorders than the traditional paper diaries.”
BackgroundForman, E. M., Goldstein, S. P., Zhang, F., Evans, B. C., Manasse, S. M., Butryn, M. L., Juarascio, A. S., Abichandani, P., Martin, G. J., & Foster, G. D. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/iby016 · Cited by 77 · see citing works
“One randomized controlled trial evaluated a JITAI based on self-monitoring entries using a personal digital assistant that provided ongoing, adaptive dietary feedback throughout a 2-year behavioral weight loss program [24].”
BackgroundMethodMcCarroll, R., Eyles, H. C., & Mhurchú, C. N. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.08.022 · Cited by 87 · 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
A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial
Pellegrini, C. A., Duncan, J. M., Moller, A. C., Buscemi, J., Sularz, A., DeMott, A., Pictor, A., Pagoto, S., Siddique, J., & Spring, B. J. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-1041 · Cited by 86 · see citing works
“Many different technologies have been used in weight loss interventions including PDAs [15,16], cell phone text messages [17,18] and wearable physical activity monitors [19,20].”
MethodKozak, A. T., Buscemi, J., Hawkins, M. A. W., Wang, M. L., Breland, J. Y., Ross, K. M., & Kommu, A. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9805-z · Cited by 84 · see citing works
“…of eHealth treatments may increase self-monitoring, which is a key component of traditional weight loss programs (Berkman et al., 2014; Burke et al., 2011, 2012; Stone et al., 2003) In the moment feedback Participants can receive ‘‘just in time’’ encouragement and reinforcement…”
The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring
Burke, L. E., Zheng, Y., Ma, Q., Mancino, J., Loar, I., Music, E., Styn, M. A., Ewing, L. J., French, B. F., Sieworek, D., et al. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2017.03.017 · Cited by 87 · see citing works
“(Burke et al., 2012b; Burke et al., 2006a) Relying only on online screening and excluding the 5-day run-in period of self-monitoring may have contributed to our uncharacteristically low retention rate of 74%.”
BackgroundMethodInfluentialSelf-citationBehavioral Economics Guidelines with Applications for Health Interventions
Luoto, J., & Carman, K. G. (2014) · doi:10.18235/0009206 · Cited by 86 · see citing works
mHealth taxonomy: a literature survey of mobile health applications
Olla, P., & Shimskey, C. (2015) · Health and Technology · doi:10.1007/s12553-014-0093-8 · Cited by 84 · see citing works
“Examples include the blood glucose meter [2], weight scales [7], pulse oximeters which connects directly to mobile phone.”
BackgroundHales, S. B., Turner‐McGrievy, G. M., Wilcox, S., Fahim, A., Davis, R. E., Huhns, M. N., & Valafar, H. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.07.003 · Cited by 73 · see citing works
Steinberg, D., Levine, E. L., Lane, I. B., Askew, S., Foley, P. B., Puleo, E., & Bennett, G. G. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2996 · Cited by 71 · see citing works
“Despite its effectiveness, adherence to traditional paper-based approaches declines over time [7,9].”
Khokhar, B. A., Jones, J., Ronksley, P. E., Armstrong, M. J., Caird, J. K., & Rabi, D. M. (2014) · BMC Obesity · doi:10.1186/s40608-014-0022-4 · Cited by 69 · see citing works
“98] were deemed appropriate for inclusion for the review [20-25] and the purpose of metaanalysis (Figure 1).”
BackgroundMethodInfluentialObesity and outpatient rehabilitation using mobile technologies: the potential mHealth approach
Castelnuovo, G., Manzoni, G. M., Pietrabissa, G., Corti, S. P., Giusti, E. M., Molinari, E., & Simpson, S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00559 · Cited by 71 · see citing works
“…2013). mHealth applications have also been implemented with promising applications and results in weight loss protocols and obesity rehabilitation (Chomutare et al., 2011; Burke et al., 2012; Cafazzo et al., 2012; Fiordelli et al., 2013; Martinez-Perez et al., 2013; Turner-McGrievy et al., 2013).”
BackgroundSobnath, D., Philip, N. Y., Kayyali, R., Nabhani‐Gebara, S., Pierscionek, B. K., Vaes, A. W., Spruit, M. A., & Kaimakamis, E. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4951 · Cited by 70 · see citing works
“Self-registration techniques such as diaries or tools to measure variables are other features identified to be useful for patients with COPD [23].”
Oh, B., Cho, B., Han, M. K., Choi, H.-C., Lee, M. N., Kang, H., Lee, C. H., Yun, H., & Kim, Y.-H. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4222 · Cited by 68 · see citing works
“uHealth care, an abbreviation for ubiquitous health care, refers to a health care medical service in which information and communication technologies are combined with medicine so that patients can be provided with prevention, diagnosis, treatment, and follow-up services anytime and anywhere, even if they do not direc…”
A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
Voth, E. C., Oelke, N. D., & Jung, M. E. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4997 · Cited by 68 · see citing works
“Electronic diaries facilitate (1) the instantaneous transfer of data between user and counselor or health care provider [37] and (2) have been shown to be associated with higher rates of adherence when compared to traditional self-monitoring via paper and pen diaries [38].”
BackgroundThe Use of mHealth to Deliver Tailored Messages Reduces Reported Energy and Fat Intake
Ambeba, E. J., Ye, L., Sereika, S. M., Styn, M. A., Acharya, S. D., Sevick, M. A., Ewing, L. J., Conroy, M. B., Glanz, K., Zheng, Y., et al. (2014) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000120 · Cited by 68 · see citing works
Self-citationAssociations Between Self-Monitoring and Weight Change in Behavioral Weight Loss Interventions
Goldstein, S. P., Goldstein, C. M., Bond, D. S., Raynor, H. A., Wing, R. R., & Thomas, J. G. (2019) · Health Psychology · doi:10.1037/hea0000800 · Cited by 63 · see citing works
“Adherence to self-monitoring of dietary intake was assessed as the number of days per week that participants recorded at least 50% of the daily calorie goal or recorded at least 3 separate eating occasions (Burke et al., 2012; Thomas & Wing, 2013).”
MethodResultOrmel, H. L., van der Schoot, G. G. F., Westerink, N.-D. L., Sluiter, W. J., Gietema, J. A., & Walenkamp, A. (2018) · Supportive Care in Cancer · doi:10.1007/s00520-018-4263-5 · Cited by 67 · see citing works
Smartphone applications to support weight loss: current perspectives
Pellegrini, C. A., Pfammatter, A. F., Conroy, D. E., & Spring, B. J. (2015) · Advanced Health Care Technologies · doi:10.2147/ahct.s57844 · Cited by 62 · see citing works
Yingling, L., Mitchell, V. M., Ayers, C. R., Peters-Lawrence, M. H., Wallen, G. R., Brooks, A. T., Troendle, J. F., Adu‐Brimpong, J., Thomas, S., Henry, J. L., et al. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0454-0 · Cited by 59 · see citing works
Consumer perspectives on mHealth for weight loss: a review of qualitative studies
Lyzwinski, L. N., Caffery, L. J., Bambling, M., & Edirippulige, S. (2017) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x17692722 · Cited by 59 · see citing works
“Both of these features are common to electronic interventions including previous mHealth interventions.(9,10) mHealth distinguishes Centre for Online Health and Department of Psychiatry, University of Queensland, School of Medicine, Woolloongabba, QLD, Australia Corresponding author: Lynnette N Lyzwinski, Centre for O…”
Applying Psychological Theories to Promote Long-Term Maintenance of Health Behaviors
Joseph, R. P., Daniel, C. L., Thind, H. K., Benitez, T. J., & Pekmezi, D. (2014) · American Journal of Lifestyle Medicine · doi:10.1177/1559827614554594 · Cited by 60 · see citing works
Sarcona, A., Kovacs, L., Wright, J., & Williams, C. L. (2017) · American Journal of Health Education · doi:10.1080/19325037.2017.1335630 · Cited by 60 · see citing works
“22 The types of mobile-based apps utilized among the college population vary dramatically based on popularity, features, etc.”
BackgroundCastelnuovo, G., Pietrabissa, G., Manzoni, G. M., Corti, S. P., Ceccarini, M., Borrello, M., Giusti, E. M., Novelli, M., Cattivelli, R., Middleton, N. A., et al. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01557 · Cited by 61 · see citing works
“The mHealth approach has shown positive evidence not only in adult obesity (Tufano and Karras, 2005; Burke et al., 2012), but also in pediatric obesity (Jensen et al., 2012; TurnerMcGrievy et al., 2013).”
BackgroundComparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers
Kim, S., & Choudhury, A. (2020) · JMIR mhealth and uhealth · doi:10.2196/18312 · Cited by 59 · see citing works
“Wearable devices and other mobile technology for health care allow users to continuously track and manage health data without having to see their health care provider, such as diabetes management [18] and weight loss [19].”
BackgroundKim, M., Kim, Y., Go, Y., Lee, S., Na, M., Lee, Y., Choi, S., & Choi, H. J. (2020) · JMIR mHealth and uHealth · doi:10.2196/14817 · Cited by 56 · see citing works
“Although there are some interventions that use custom algorithms to provide individualized feedback, they only focus on diet, physical activity, weight loss, or any two of these [27,28,32,46].”
InfluentialLin, P., Grambow, S., Intille, S., Gallis, J., Lazenka, T., Bosworth, H., Voils, C., Bennett, G., Batch, B., Allen, J., et al. (2018) · JMIR mHealth and uHealth · doi:10.2196/10471 · Cited by 43 · see citing works
Citoni, B., Figliuzzi, I., Presta, V., Volpe, M., & Tocci, G. (2021) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-021-00492-4 · Cited by 54 · see citing works
“Indeed, available evidence suggests that incorporating self-management behaviours, such as home BP monitoring, in educational interventions may be an effective approach for ameliorating BP control, as an example by promoting physical activity and weight loss [33].”
BackgroundApplying Behavioral Tools to the Design of Health Projects
Pinto, D. M., Ibarrarán, P., Stampini, M., Carman, K. G., Guanais, F. C., Luoto, J., Sanchez, M. A., & Cali, J. (2014) · doi:10.18235/0008508 · Cited by 53 · see citing works
“The average effect, however, was only around 2% of baseline weight (Burke et al., 2012).”
BackgroundMilitello, L. K., Melnyk, B. M., Hekler, E. B., Small, L., & Jacobson, D. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4398 · Cited by 51 · see citing works
“Feedback messages may play a pivotal role in goal attainment, through behavioral principles such as reinforcement and correction, and serve as a compass enabling individuals to stay on course [49].”
BackgroundAdherent Use of Digital Health Trackers Is Associated with Weight Loss
Pourzanjani, A., Quisel, T., & Foschini, L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152504 · Cited by 51 · see citing works
Carter, M. C., Burley, V. J., & Cade, J. E. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4520 · Cited by 50 · see citing works
“Burke et al [17] found that moderate-and high-frequency users had lost roughly equivalent amounts of weight at 18 months, whereas the findings from this trial of My Meal Mate suggest that high-frequency users had lost a statistically significantly greater amount of weight than moderate users.”
MethodResultJimoh, F. O., Lund, E. K., Harvey, L. J., Frost, C., Lay, W. J., Roe, M. A., Berry, R., & Finglas, P. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7702 · Cited by 50 · see citing works
“This was unexpected and is not consistent with what has been previously reported [33,57,62].”
ResultDietary Self-Monitoring in Weight Management: Current Evidence on Efficacy and Adherence
Yu, Z., Sealey‐Potts, C., & Rodriguez, J. C. (2015) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2015.04.005 · Cited by 49 · see citing works
The Future of Mobile Health Applications and Devices in Cardiovascular Health
Kelli, H. M., Witbrodt, B. C., & Shah, A. J. (2017) · EMJ Innovation · doi:10.33590/emjinnov/10310778 · Cited by 46 · see citing works
Can healthy people benefit from health apps?
Husain, I., & Spence, D. (2015) · BMJ · doi:10.1136/bmj.h1887 · Cited by 45 · see citing works
Raber, M. R., Liao, Y., Rara, A., Schembre, S. M., Krause, K. J., Strong, L., Daniel-MacDougall, C., & Basen-Engquist, K. (2021) · Public Health Nutrition · doi:10.1017/s136898002100358x · Cited by 47 · see citing works
Lee, J. E., Lee, D. E., Kim, K., Shim, J. E., Sung, E., Kang, J., & Hwang, J. (2017) · Nutrition Research and Practice · doi:10.4162/nrp.2017.11.3.247 · Cited by 43 · see citing works
“Two mobile-based intervention studies in obese adults have shown that self-monitoring and feedback on physical activity and eating habits via mobile phone significantly decreased Body mass index (BMI) and energy intake in the intervention group [7,9].”
BackgroundInfluentialMacPherson, M., Merry, K. J., Locke, S., & Jung, M. E. (2019) · JMIR mhealth and uhealth · doi:10.2196/12956 · Cited by 43 · see citing works
“In support of this, studies have shown that adherence to daily self-monitoring is associated with increased weight loss [19], and self-monitoring of daily exercise is associated with increased PA and weight loss [18].”
Fazzino, T. L., Sporn, N. J., & Befort, C. A. (2016) · Supportive Care in Cancer · doi:10.1007/s00520-016-3149-7 · Cited by 39 · see citing works
“requirements and provide more real-time feedback [44, 45].”
Arens‐Volland, A., Spassova, L., & Bohn, T. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.08.006 · Cited by 42 · see citing works
Uncovering the invisible patient work system through a case study of breast cancer self-management
Gorman, R. K., Wellbeloved-Stone, C. A., & Valdez, R. S. (2018) · Ergonomics · doi:10.1080/00140139.2018.1503339 · Cited by 42 · see citing works
“This finding aligns with well-documented evidence that mHealth and other forms of CHIT, such as the patient portal, can have positive impacts on adherence work (Burke et al. 2012; Chang et al. 2011; Sullivan et al. 2016; TurnerMcGrievy et al. 2013).”
ResultDias, S. B., Oikonomidis, Y., Diniz, J. A., Baptista, F., Carnide, F., Bensenousi, A., Botana, J. M., Tsatsou, D., Stefanidis, K., Gymnopoulos, L. P., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.898031 · Cited by 42 · see citing works
“In another 24-month RCT, namely, Self-Monitoring and Recording Using Technology (SMART) (120), involving 210 adults with overweight/obesity, it has shown that the use of PDA with appropriate feedback contributed to the adults’ dietary behavior change, resulting in significant weight loss when compared to those using pa…”
MethodSpoelstra, S., Given, C. W., Sikorskii, A. E., Coursaris, C. K., Majumder, A., DeKoekkoek, T., Schueller, M., & Given, B. A. (2015) · Oncology nursing forum · doi:10.1188/15.onf.647-657 · Cited by 41 · see citing works
Rumbo-Rodríguez, L., Sánchez‐SanSegundo, M., Ruiz‐Robledillo, N., Albaladejo-Blázquez, N., Ferrer‐Cascales, R., & Zaragoza-Martí, A. (2020) · Nutrients · doi:10.3390/nu12123634 · Cited by 41 · see citing works
“The provision of feedback could be effective as a complement to interventions carried out using technology to promote weight loss [52,53].”
BackgroundResultInfluentialBehavioral Lifestyle Intervention in the Treatment of Obesity
Looney, S. M., & Raynor, H. A. (2013) · Health Services Insights · doi:10.4137/hsi.s10474 · Cited by 39 · see citing works
Holzmann, S. L., & Holzapfel, C. (2019) · Journal of Personalized Medicine · doi:10.3390/jpm9020031 · Cited by 38 · see citing works
“Adherence and engagement to self-monitoring often appears in the early stage of interventions and declines continuously over time [67,70,71].”
BackgroundAnauati, M. V., Galiani, S., & Weinschelbaum, F. (2015) · Latin American Economic Review · doi:10.1007/s40503-015-0025-7 · Cited by 37 · see citing works
“For instance, a recent randomized two-year trial that tested the role of feedback through SMS messages found that daily messages enhanced adherence to self-monitoring and increased weight loss (Burke et al. 2012).”
BackgroundHu, E. A., Nguyen, V. L., Langheier, J., & Shurney, D. W. (2020) · Journal of Medical Internet Research · doi:10.2196/19634 · Cited by 35 · see citing works
mHealth: Technology for nursing practice, education, and research
Doswell, W. M., Braxter, B., Dabbs, A. D., Nilsen, W., & Klem, M. L. (2013) · Journal of Nursing Education and Practice · doi:10.5430/jnep.v3n10p99 · Cited by 36 · see citing works
“…ecological momentary assessment (EMA) surveys delivered via smartphone, Dr. Burke is conducting a study of real time data collection from a smartphone to retrieve weight, daily diaries, actigraph and accelerometer to study the triggers of relapse during and following intentional weight loss [45] .”
BackgroundDigital Health Solutions for Weight Loss and Obesity: A Narrative Review
Irvin, L., Madden, L. A., Marshall, P., & Vince, R. V. (2023) · Nutrients · doi:10.3390/nu15081858 · Cited by 34 · see citing works
Pfammatter, A. F., Nahum-Shani, I. B., Dezelar, M., Scanlan, L., McFadden, H. G., Siddique, J., Hedeker, D., & Spring, B. J. (2019) · Contemporary Clinical Trials · doi:10.1016/j.cct.2019.05.007 · Cited by 34 · see citing works
Tung, J. Y., Stead, B. E., Mann, W., Pham, B., & Popović, M. R. (2015) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2014.02.0064 · Cited by 34 · see citing works
Remotely engaged: Lessons from remote monitoring in multiple sclerosis
Engelhard, M., Patek, S. D., Sheridan, K., Lach, J., & Goldman, M. D. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.01.006 · Cited by 33 · see citing works
“In a mobile-enabled weight loss intervention, adherence to dietary selfmonitoring declined from roughly 70% to less than 20% over the course of the study[18].”
BackgroundIncorporating Mobile Phone Technologies to Expand Evidence-Based Care
Jones, D. J., Anton, M., Gonzalez, M., Honeycutt, A., Khavjou, O., Forehand, R., & Parent, J. (2015) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2014.06.002 · Cited by 32 · see citing works
“technologies generally suggests that mobile assessment may be a more efficacious strategy for tracking mood and behavior across a range of disorders and issues than traditional paper diaries (Burke et al., 2012; Shapiro et al., 2008).”
BackgroundResultInfluential
- Authors
- Burke, L. E., Styn, M. A., Sereika, S. M., Conroy, M. B., Ye, L., Glanz, K., Sevick, M. A., & Ewing, L. J.
- Affiliations
- University of Pittsburgh (US)
- University of Pennsylvania (US)
- Corresponding author
- Burke, Lora E.
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 43
- Issue
- 1
- Pages
- 20-26
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC3563396
- OpenAlex
- W1901026176
- Semantic Scholar
- 0767d67b987b9a4196d65c0ba79b68df5e9e9f9c
- Cited by
- 295
- References
- 37
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 11 · 2023: 18 · 2022: 20 · 2021: 19 · 2020: 20 · 2019: 22 · 2018: 28 · 2017: 32 · 2016: 33 · 2015: 27 · 2014: 33 · 2013: 16 · 2012: 5
- FWCI
- 46.07
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- D-Scholarship@Pitt (University of Pittsburgh) (acceptedVersion)
- Funders
- National Institute of Nursing Research (P30NR003924, P30-NR-03924, K24NR010742)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK071817, R01-DK071817-05S1)
- National Center for Research Resources (5M01-RR-000056, M01RR000056, UL1RR024153)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- mobile health, self-monitoring, weight loss, personal digital assistants, personalized feedback, paper diaries, adherence, weight maintenance, obesity, overweight adults, behavioral weight loss, SMART trial, remote feedback, physical activity goals, student retention, weight change over time
- MeSH terms
- Adult, Energy Intake, Diet, Female, Humans, Male, Middle Aged, Pennsylvania, Self Care, Weight Loss, Exercise, Feedback, Psychological, Computers, Handheld, Self Report
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