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Environments Associated with Physical Activity and Sedentary time among senior citizens in China: A cross-sectional study

摘要


Objectives: Although many studies have reported the association between physical activities (PA for short) and sedentary time (ST for short) of senior citizens and built environment (BE for short), few studies have paid attention to Chinese senior citizens. The goal of this study is to examine the association between neighborhood BEs and PA of Chinese senior citizens. Methods: A multilevel cross-sectional study was conducted from November 2016 to April 2017. Thirty neighborhoods were selected and 586 individuals aged 60 years or older who live in the urban zone of Nanjing city (a city in south China) were surveyed. Physical activities were measured by Actigraph GT3 Accelerometer. Built environment variables were measured by ArcGIS software. Later, independent variables and dependent variables were divided into three levels and assignment 1, 2 and 3. Finally, the sociology of population variable of education, gender and income as control variables into orderly classification more Logistic regressive model. Results: Our study found that with the land-use mix for each level, reduce the level of MVPA changes forecast coefficient beta 1.122, p=0.016 and 0.762, p=0.036, distance to Public transport station between level2 and level3 forecast coefficient beta 0.769, P=0.049. the distance to Recreational facilities for each level,, reduce the level of MVPA changes forecast coefficient beta 0.830, p=0.009 and 0.592, p=0.013. other BE factors were not found to be related to MVPA. while the population density for each level, reduce the level of ST changes forecast coefficient beta 0.745, p=0.004 and 0.751, p=0.014, Total road length between level2 and level3 forecast coefficient beta 0.926, P=0.029 and other BE factors were not found to be related to ST. Conclusion: Our findings provide support for the association. Some characteristics of BE (e.g., land-use mix, distance to Public transport and distance to Recreational facilities) may effect PA levels, and few characteristics of BE (e.g., population density and Total road length) may effect ST. In formulating planning policies, the above factors can be improved to promote older people physical activity, change the sedentary lifestyle and improve their health level.

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