HUBEI AGRICULTURAL SCIENCES ›› 2020, Vol. 59 ›› Issue (5): 191-196.doi: 10.14088/j.cnki.issn0439-8114.2020.05.038

• Rural Revitalization • Previous Articles     Next Articles

Two-layer residents overweight influencing factors based on individual, community

TAO Xiao-fang,ZHU Zhan-qiang,ZHOU Su-hong   

  1. Guangdong Key Laboratory for Urbanization and Geo-simulation/Guangdong Provincial Engineering Research Center for Public Security and Disaster/School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China
  • Revised:2019-07-16 Online:2020-03-10 Published:2020-06-05

Abstract: Based on 706 questionnaires collected from 26 typical communities in Guangzhou city,combined with community environmental survey, the residents' overweight prevalence and its influencing factors were investigated, as well as the community difference of overweight and its causes using multilevel linear regression model. The results showed that the overweight rate was 32.15%. In terms of individual factors, age was positively correlated with overweight probability. Married residents had a higher overweight probability than unmarried residents. The overweight probability of high-income residents was lower than that of lower-middle income residents. Walking fitness time was negatively correlated with overweight probability. In terms of the community environment, the number of park and squares around the community was negatively correlated with overweight probability. The residents’ overweight probability in indemnificatory housing and historic districts was higher than that of residents in commercial housing communities.Besides, the number of physical activity facilities around the community was positively correlated with overweight probability which defied common sense and the reason of this phenomenon was probably that overweight residents took the initiative to physical activities. There were community differences in residents’ overweight probability. Community physical activity environment could explain 2.03% of the community differences, while community physical activity environment and residential type could jointly explain 44.91% of the community differences. In a word,residents’ overweight probability was affected by both individual and community factors so it’s important to regulate excess weight at both levels.

Key words: overweight, influencing factors, community environment, Guangzhou city

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