Analysis reveals density of sports facilities influences BMI of residents, suggesting complex relationships.
Objective To respond to the country's three-year "Weight Management Year" action plan and put forward corresponding suggestions and solutions for the current problems of overweight and obesity among residents. Methods Taking Jiaozuo City as the research area, information such as citizens' height, weight, age and address was obtained based on the physical fitness monitoring data of adults throughout Jiaozuo City. Combined with the POI data of sports and leisure service facilities, ArcGIS software was used to analyze the density of sports and leisure service facilities, the density of business and residential areas, the distribution of parks, as well as the observed and predicted values of BMI index in each area. Furthermore, the Geographically Weighted re-gression model (GWR) and the least squares model (OLS) were respectively adopted to study the effects of different observed variables such as the distribution density of parks and the density of sports and leisure service facilities on the BMI index of adults in Jiaozuo City, and the accura-cies of the two were compared. Results ① Compared with the OLS model, the GWR model achieved better regression analysis results; ② The density of sports and leisure service facili-ties was negatively correlated with the BMI index, but it was positively correlated under the condition of high artificial surface density. ③ Unilaterally increasing the density of sports facil-ities services may not be an independent solution to reduce the BMI index, and the BMI index is affected by a variety of complex factors. Conclusion Increasing the density of sports facility ser-vices can have a certain promoting effect on improving the body mass index of residents. The research results can provide certain reference value for the subsequent implementation of the "Weight Management Year" plan.
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Liu et al. (2025) studied this question.
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