Statistical Analysis
obesity
OBESITY, SECONDARY
The first step estimated, based on an effect size of approximately 0.42 reported by a prior meta-analysis,The primary analysis was based on intention-to-treat analysis, including all participants irrespective of missing data. The repeated measures of continuous outcomes were analyzed in the general linear mixed models, which included random cluster and participant effects. In addition to the trial group, assessment time, and their interaction terms, the models included age, sex, and the respective baseline value of the outcome of interest adjusted. To test the effect of the intervention on the binary outcomes of participants meeting the physical activity recommendations at 4 weeks, 8 weeks, 6 months, 12 months, and 24 months, generalized linear mixed models with an identity link were also conducted. The model assumed that missing values were missing at random.Three subgroup analyses were conducted to examine the heterogeneity of intervention effects on leisure-time activity across age groups (60-69 vs ≥70 years), sex (male vs female), and body mass index (calculated as weight in kilograms divided by height in meters squared) at baseline (underweight or normal weight vs overweight or obesity). Intention-to-treat analysis using multiple imputation was also performed on primary and secondary outcomes to assess the robustness of our results. Five imputations were conducted using the mice package in R, version 4.2.0 (R Foundation for Statistical Computing). Statistical significance was determined by a 2-sided 