Background Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear. Objective This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity. Methods Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1. Results A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI −3.17 kg to −1.12 kg; P<.001; I2=60.3%), waist circumference by 2.48 cm (95% CI −3.51 cm to −1.44 cm; P<.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI −0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI −0.21 to −0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI −182.67 kcal to −73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss. Conclusions Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app. Trial Registration PROSPERO CRD42022345133; https://tinyurl.com/2zxfdpay
Purpose To examine the effectiveness of ACT on weight (body mass index and body mass), eating behaviours (binge eating, emotional eating, external eating and restraint eating), and psychological outcomes (quality of life [QoL], depression, psychological flexibility, and weight stigma) among adults with overweight and obesity. Methods Seven electronic databases (CINAHL, EMBASE, PubMed, PsycInfo Scopus, The Cochrane Library, and Web of Science) were searched from inception through 17 June 2022. 13 studies and 48 unique effect sizes were analyzed using random-effects models. Pooled effect estimates were calculated using weighted mean differences (WMD) and standardized mean differences expressed in Hedges’ g (g). Heterogeneity was assessed using Q-statistics and interpreted using I2. Results ACT was found to be effective in improving weight loss in terms of BMI (k = 6, WMD = − .50, 95% CI = − .90; − .11, t = − 3.25, p = .20, I2 = .0%), psychological flexibility and weight-related stigma. However, non-significant changes were found for body mass (k = 4, WMD = − 0.33 95% CI = − 1.53; 0.87, t = − .88, p = .44, I2 = .0%), binge eating (k = 4, g = − .34, 95% CI = − 1.31; 0.62, t = − 1.13, p = .34, I2 = 71.1%), emotional eating (k = 6, g = − .20, 95% CI = − 0.54; 0.15, t = − 1.47, p = .20, I2 = 45.0%), external eating (k = 5, g = − .40, 95% CI = 0.96; 0.16, t = − 1.99, p = .12, I2 = 81.8%), restraint eating (k = 3, g = .22 95% CI = − 0.57; 1.01, t = 1.19, p = .36, I2 = 69.1%), QoL (k = 3, g = .01, 95% CI = − 1.51; 1.52, t = .02, p = .99, I2 = 90.2%) and depression (k = 3, g = − .55, 95% CI = − 1.78; 0.67, t = − 1.94, p = .19, I2 = 79.9%). Conclusion ACT could be effective in improving weight loss but more studies are needed to ascertain its effectiveness and the underlying mechanism by which the various components influence weight-related outcomes. Level of evidence Evidence obtained from a systematic review and meta-analysis of existing empirical studies.
BACKGROUND Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear. OBJECTIVE This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity. METHODS Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1. RESULTS A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI −3.17 kg to −1.12 kg; <i>P</i><.001; I2=60.3%), waist circumference by 2.48 cm (95% CI −3.51 cm to −1.44 cm; <i>P</i><.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI −0.33 mg/dL to 0.11 mg/dL; <i>P</i>=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI −0.21 to −0.02; <i>P</i>=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI −182.67 kcal to −73.94 kcal; <i>P</i>=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss. CONCLUSIONS Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app. CLINICALTRIAL PROSPERO CRD42022345133; https://tinyurl.com/2zxfdpay
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