Physical Activity and Quality of Life Research Group (GPAQ), Pontifical Catholic University of Paraná, Curitiba, PR, Brazil.
Health Technology Graduate Program, Pontifical Catholic University of Paraná, Curitiba, PR, Brazil.
Int J Public Health. 2017 Sep;62(7):831-840. doi: 10.1007/s00038-017-0995-0. Epub 2017 Jul 17.
This study assessed the association of individual and neighborhood environment characteristics and objectively measured physical activity (PA) and sedentary time (ST) in adults from Curitiba, Brazil.
A population-based cross-sectional study was conducted through face-to-face household interviews in 2010. The analytic sample included 305 adults aged 20-65 years recruited from 32 census tracts selected according to neighborhood walkability and socioeconomic status. Individual and environmental PA correlates were evaluated through standardized and valid self-reported measures, including the Neighborhood Environment Walkability Scale. Minutes per week of PA and ST were assessed through accelerometry. Multi-level regression models were used in the analyses.
After adjusting for confounders the strongest individual and environmental correlates associated with ST was residential density (B = 0.14; p = 0.008), light-intensity PA was being a father/mother (B = 35.71; p = 0.025) and moderate-to-vigorous PA was sex (B = 0.91; p < 0.001) and number of cars (one car, B = -1.05; two cars, B = -1.14; p < 0.001).
The associations found with individual and environmental correlates varied accordingly across all outcomes. Future changes in policies and infrastructure should consider the social context of the community and improvements to promote a safer environment in the neighborhood.
本研究旨在评估个体和邻里环境特征与巴西库里蒂巴成年人的身体活动(PA)和久坐时间(ST)之间的关联。
这是一项基于人群的横断面研究,于 2010 年通过面对面的家庭访谈进行。分析样本包括从根据邻里步行性和社会经济地位选择的 32 个普查区招募的 305 名 20-65 岁成年人。通过标准化和有效的自我报告措施(包括邻里环境步行性量表)评估个体和环境 PA 相关性。通过加速度计评估每周 PA 和 ST 的分钟数。在分析中使用了多水平回归模型。
在调整了混杂因素后,与 ST 最相关的个体和环境因素是居住密度(B=0.14;p=0.008),低强度 PA 与作为父亲/母亲有关(B=35.71;p=0.025),而中高强度 PA 与性别(B=0.91;p<0.001)和汽车数量(一辆车,B=-1.05;两辆车,B=-1.14;p<0.001)有关。
与个体和环境相关性的关联因所有结局而异。未来的政策和基础设施变化应考虑社区的社会背景,并改善邻里环境的安全性。