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Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses.
Ferguson, T, Olds, T, Curtis, R, Blake, H, Crozier, AJ, Dankiw, K, Dumuid, D, Kasai, D, O'Connor, E, Virgara, R, et al
The Lancet. Digital health. 2022;4(8):e615-e626
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A sedentary or physically inactive lifestyle significantly contributes to non-communicable diseases such as coronary heart disease, type 2 diabetes and stroke. Wearable activity trackers are low-cost solutions that encourage users to engage in physical activity. This umbrella review of systematic reviews and meta-analyses investigated the benefits of wearable activity trackers in improving physical activity levels and their beneficial effects on physiological and psychosocial outcomes. This umbrella review included thirty-nine systematic reviews, of which twenty-five systematic reviews included meta-analyses of the benefits of wearable trackers on physical activity levels. Results of this umbrella review suggest that wearable trackers increased physical activity levels, especially daily steps count and energy expenditure. The physiological outcomes included improvements in BMI, blood pressure, cholesterol, glycosylated haemoglobin, waist circumference, and body weight. There was also a slight improvement in the quality of life of the participants who used wearable activity trackers. Further robust studies are required to evaluate the effects of wearable trackers on the psychosocial outcomes in people with mental illness. However, healthcare professionals can use the results of this study to understand the impact of wearable trackers on physiological and psychosocial effects in a non-clinical population.
Abstract
Wearable activity trackers offer an appealing, low-cost tool to address physical inactivity. This systematic review of systematic reviews and meta-analyses (umbrella review) aimed to examine the effectiveness of activity trackers for improving physical activity and related physiological and psychosocial outcomes in clinical and non-clinical populations. Seven databases (Embase, MEDLINE, Ovid Emcare, Scopus, SPORTDiscus, the Cochrane Library, and Web of Science) were searched from database inception to April 8, 2021. Systematic reviews of primary studies using activity trackers as interventions and reporting physical activity, physiological, or psychosocial outcomes were eligible for inclusion. In total, 39 systematic reviews and meta-analyses were identified, reporting results from 163 992 participants spanning all age groups, from both healthy and clinical populations. Taken together, the meta-analyses suggested activity trackers improved physical activity (standardised mean difference [SMD] 0·3-0·6), body composition (SMD 0·7-2·0), and fitness (SMD 0·3), equating to approximately 1800 extra steps per day, 40 min per day more walking, and reductions of approximately 1 kg in bodyweight. Effects for other physiological (blood pressure, cholesterol, and glycosylated haemoglobin) and psychosocial (quality of life and pain) outcomes were typically small and often non-significant. Activity trackers appear to be effective at increasing physical activity in a variety of age groups and clinical and non-clinical populations. The benefit is clinically important and is sustained over time. Based on the studies evaluated, there is sufficient evidence to recommend the use of activity trackers.
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Hormonal and psychobehavioral predictors of weight loss in response to a short-term weight reduction program in obese women.
Hainer, V, Hlavatá, K, Gojová, M, Kunešová, M, Wagenknecht, M, Kopský, V, Pařízková, J, Hill, M, Nedvídková, J
Physiological research. 2008;57 Suppl 1:S17-S27
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Among the many factors that influence weight loss and weight management, metabolic and hormonal parameters have been increasingly explored as important predictors. The aim of this study was to reveal potential psycho-behavioural and hormonal factors as predictors of weight loss. A group of 67 overweight women were enrolled in a 3-week weight management programme in which food intake and physical activity were under strict control. This study indicated that a short-term weight management programme induced favourable changes in anthropometric, psycho-behavioural and hormonal indices. Changes in several hormone concentrations were significantly associated with the reduction of anthropometric parameters, however psycho-behavioural factors did not contribute to weight change in the programme.
Abstract
Among the factors influencing weight loss and maintenance, psychobehavioral, nutritional, metabolic, hormonal and hereditary predictors play an important role. Psychobehavioral factors influence adherence to lifestyle changes and thus weight loss maintenance. The outcome of short-term weight reduction treatment is mainly affected by changes in energy and nutrient intake and physical activity and thus the impact of hormones can possibly be obscured. In order to reveal hormonal determinants of weight loss, a 4-week in-patient comprehensive weight reduction program was introduced in which food intake and physical activity were under the strict control. Women (n = 67, BMI: 32.4+/-4.4 kg; age: 48.7+/-12.2 years) who exhibited stable weight on a 7 MJ/day diet during the first week of weight management were given a hypocaloric diet yielding daily energy deficit 2.5 MJ over the subsequent 3-week period. This treatment resulted in a mean weight loss of 3.80+/-1.64 kg. Correlation analysis revealed that baseline concentrations of several hormones were significantly associated either with a higher (free triiodothyronine, C-peptide, growth hormone, pancreatic polypeptide) or with a lower (insulin-like growth factor-I, cortisol, adiponectin, neuropeptide Y) reduction of anthropometric parameters in response to weight management. In a backward stepwise regression model age, initial BMI together with baseline levels of growth hormone, peptide YY, neuropetide Y and C-reactive protein predicted 49.8 % of the variability in weight loss. Psychobehavioral factors (items of the Eating Inventory, Beck Depression score) did not contribute to weight change induced by a well-controlled short-term weight reduction program.