Pedometer intervention and weight loss in overweight and obese adults with type 2 diabetes: a meta-analysis
Open accessAbstract
AIM: Although pedometer intervention is effective in increasing physical activity among adults with Type 2 diabetes, its impact on weight loss remains unclear. This meta-analysis was aimed to assess whether pedometer intervention promotes weight loss. METHODS: Three different databases were searched for randomized controlled trials (RCTs) published in English up to April 2015. Studies were included if they investigated the effects of pedometer intervention on weight loss, as measured by BMI or weight. Effect sizes were aggregated using a random-effects model. Subgroup and meta-regression analyses were used to identify potential moderators. Eleven RCTs with 1258 participants were included. All enrolled participants were overweight or obese. RESULTS: Pedometer intervention led to significantly decreased BMI [weighted mean difference (WMD) -0.15 kg/m(2) , 95% confidence interval (CI) -0.29 to -0.02 kg/m(2) ] and reduced weight (WMD -0.65 kg, 95% CI -1.12 to -0.17 kg). Dietary counselling seemed to be a key predictor of the observed changes. However, none of the following variables had a significant influence: step goal setting, baseline age, BMI, weight, sex distribution, disease duration, intervention duration, and baseline values or change scores for total or moderate-to-vigorous physical activity. After completion of the pedometer intervention, non-significant declines in BMI and weight were observed during the follow-up periods. CONCLUSIONS: Pedometer intervention promotes modest weight loss, but its association with physical activity requires further clarification. Future studies are also required to document dietary and sedentary behaviour changes to facilitate the use of pedometers for weight loss in overweight and obese adults with Type 2 diabetes.
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One review found no sustained effects on body composition following completion of wearable activity-tracker-based interventions, whereas another found small but non-significant beneficial effects up to 1-2 years (BMI -0.21 kg/m2, 95% CI -1.06 to 0.65).
“Two reviews examined whether effects on body composition were sustained long term following the completion of wearable activity-tracker-based interventions; one review found no sustained effects, 43 whereas another found small but non-significant beneficial effects up to 1-2 years (BMI -0•21 kg/m², 95% CI -1•06 to 0•65; appendix p 31). 11”
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 [11]
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Experimental — accuracy not yet measuredUse of wearable activity trackers has been associated with improved physiological outcomes, including reduced BMI, reduced blood pressure, and increased aerobic capacity.
“Additionally, using wearable activity trackers has been shown to be associated with improved physiological outcomes, such as reduced BMI, 10,11 reduced blood pressure, 10 and increased aerobic capacity, 9”
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 [11]
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 [11]
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- Authors
- Cai, X., Qiu, S. H., Yin, H., Sun, Z. L., Ju, C. P., Zügel, M., Steinacker, J. M., & Schumann, U.
- Affiliations
- Zhongda Hospital Southeast University (CN)
- Universität Ulm (DE)
- Division of Sports and Rehabilitation Medicine Department of Internal Medicine II Ulm University Ulm Germany
- Corresponding author
- Ju, C. P.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2016-03-25
- Volume
- 33
- Issue
- 8
- Pages
- 1035-1044
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- PMC
- PMC5071725
- OpenAlex
- W2291528366
- Cited by
- 46
- References
- 46
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 12 · 2020: 8 · 2019: 2 · 2018: 5 · 2017: 5 · 2016: 2
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetic Medicine (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- weight loss, type 2 diabetes, obesity, overweight adults, body mass index, physical activity, nutrition counseling, sedentary behavior
- MeSH terms
- Counseling, Diabetes Mellitus, Type 2, Diet Therapy, Exercise Therapy, Humans, Obesity, Weight Loss, Exercise, Body Mass Index, Overweight, Actigraphy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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