湖北农业科学 ›› 2020, Vol. 59 ›› Issue (5): 191-196.doi: 10.14088/j.cnki.issn0439-8114.2020.05.038

• 乡村振兴 • 上一篇    下一篇

基于个体与社区的居民超重双层影响因素

陶小芳, 朱战强, 周素红   

  1. 中山大学地理科学与规划学院/广东省城市化与地理环境空间模拟重点实验室/广东省公共安全与灾害工程技术研究中心,广州 510275
  • 修回日期:2019-07-16 出版日期:2020-03-10 发布日期:2020-06-05
  • 通讯作者: 朱战强(1978-),男,广州人,讲师,博士,主要从事绿色基础设施规划研究,(电话)13631393092(电子信箱)
  • 作者简介:陶小芳(1994-),女,河北保定人,在读硕士研究生,研究方向为健康地理,(电话)13560108730(电子信箱)taoxf3@mail2.sysu.edu.cn
  • 基金资助:
    国家自然科学基金(41401166,41871148)

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

摘要: 基于广州市26个典型社区的706份调查问卷,结合社区环境调查,采用多层线性回归模型分析居民超重的影响因素、居民超重的社区差异及其成因。结果表明,居民超重率为32.15%。个体因素方面,年龄与超重概率正相关,已婚居民超重概率高于未婚居民,中下收入居民超重概率高于高收入居民,散步健身时间与超重概率负相关。社区环境方面,社区周边公园广场数量与超重概率负相关,保障性住房和历史街区居民的超重概率高于商品房社区居民。此外,社区周边健身场所数量与超重概率正相关,结果与常识不符,原因可能是超重居民存在主动健身行为。居民超重存在社区差异,社区健身环境可以解释社区差异的2.03%,社区健身环境和社区类型可以共同解释44.91%。总之,个体因素和社区环境共同影响超重,应从个体和社区两个层面对居民超重进行调控。

关键词: 超重, 影响因素, 社区环境, 广州市

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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