Effect of ‘activity monitor-based’ counseling on physical activity and health-related outcomes in patients with chronic diseases: A systematic review and meta-analysis
Abstract
AIM: This review evaluated the effects of activity monitor-based counseling on physical activity (PA) and generic and disease-specific health-related outcomes in adults with diabetes mellitus type II (DMII), chronic obstructive pulmonary disease (COPD), or chronic heart failure (CHF). METHODS: Four electronic databases were searched for randomized controlled trials using activity monitor-based counseling versus control intervention or usual care in adults with DMII, COPD, or CHF. Pooled effect sizes were calculated using a random effects model. RESULTS: Twenty-four articles were included: 21 DMII studies and 3 COPD studies. No CHF studies were identified. Pooled analysis showed that activity monitor-based counseling resulted in a significantly greater improvement in PA compared to control intervention or usual care in DMII. Furthermore, these interventions had a beneficial effect on hemoglobin A1c (HbA1c), systolic blood pressure, and body mass index (BMI) (P < 0.05), whereas no differences were found on diastolic blood pressure, and health-related quality of life. Meta-analysis of COPD studies was not possible due to lack of available data. CONCLUSION: Activity monitor-based counseling had a beneficial effect on PA, HbA1c, systolic blood pressure, and BMI in patients with DMII. Data in patients with COPD and CHF are limited or non-existing, respectively.
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Conclusions of recent reviews are not based on randomised controlled trials.
“In addition, conclusions are not based on randomised controlled trials [14, 22] and most of reviews did not (or partly) report a cardiometabolic risk profile [15, 19, 20, 23].”
Other meta-analyses have shown increased physical activity among outpatient adults (+2500 steps/day) and patients with T2DM (+1822-2042 steps/day).
“These results are consistent with findings from other meta-analyses showing an increased physical activity among outpatient adults (+ 2500 steps/day) [14] and patients with T2DM (+ 1822–2042 steps/day) [21, 22].”
Benefits for blood pressure were reported in people with type 2 diabetes (systolic SMD -0.18, 95% CI -0.34 to -0.01) and populations with mixed disease (systolic mean difference -3.79 mmHg, 95% CI -4.54 to -3.04).
“Specifically, benefits for blood pressure were reported in people with type 2 diabetes 68 (systolic SMD -0•18, 95% CI -0•34 to -0•01; figure 2) and populations with mixed disease (which included diabetes, COPD, cardio vascular disease, overweight or obesity, and Alzheimer's disease; systolic mean difference -3•79 mmHg, 95% CI -4•54 to -3•04; appendix p 31), 42”
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 [68]
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- Authors
- Vaes, A. W., Cheung, A., Atakhorrami, M., Groenen, M. T. J., Amft, O., Franssen, F. M. E., Wouters, E. F. M., & Spruit, M. A.
- Affiliations
- Ciro (NL)
- Catharina Ziekenhuis (NL)
- Philips (Netherlands) (NL)
- Eindhoven University of Technology (NL)
- Maastricht University Medical Centre (NL)
- Corresponding author
- Vaes, Anouk W.
- ORCID
- Venue
- Annals of Medicine
- Publisher
- Informa UK Limited
- Published
- 2013-07-03
- Volume
- 45
- Issue
- 5-6
- Pages
- 397-412
- ISSN
- 0785-3890 (ISSN-L)
- 1365-2060
- OpenAlex
- W2152062081
- Cited by
- 119
- References
- 72
- Citations by year
- 2026: 1 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 13 · 2020: 13 · 2019: 9 · 2018: 12 · 2017: 17 · 2016: 9 · 2015: 10 · 2014: 11 · 2013: 2
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- American Heart Association
- Stichting De Weijerhorst
- 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
- physical activity, type 2 diabetes, chronic obstructive pulmonary disease, chronic heart failure, chronic disease, health-related quality of life, HbA1c, blood pressure, body mass index, wearable activity trackers
- MeSH terms
- Adult, Chronic Disease, Counseling, Diabetes Mellitus, Type 2, Heart Failure, Humans, Motor Activity, Quality of Life, Randomized Controlled Trials as Topic, Outcome Assessment, Health Care, Pulmonary Disease, Chronic Obstructive
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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