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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >Characteristics of the environment and physical activity in midlife: Findings from UK Biobank
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Characteristics of the environment and physical activity in midlife: Findings from UK Biobank

机译:中期环境与体育活动的特征:来自英国BioBank的结果

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Characteristics of the environment influence health and may promote physical activity. We explored the associations between neighborhood environmental characteristics grouped within five facets (spaces for physical activity, walkability, disturbance, natural environment, and the sociodemographic environment) and objective ('recorded') and self-reported ('reported') physical activity in adults from UK Biobank. Recorded activity was assessed using wrist-worn accelerometers (2013-2015, n = 65,967) and time spent in moderate-to-vigorous physical activity (MVPA), walking, and walking for pleasure was self-reported (2006-2010, n = 337,822). Associations were assessed using linear and multinomial logistic regression models and data were analyzed in 2017. We found participants living in areas with higher concentrations of air pollution recorded and reported lower levels of physical activity and those in rural areas and more walkable areas had higher levels of both recorded and reported activity. Some associations varied according to the specificity of the outcome, for example, those living in the most deprived areas were less likely to record higher levels of MVPA (upper tertile: RRR: 0.80 95% CI: 0.74, 0.86) but were more likely to report higher levels of walking (upper tertile: RRR: 1.09, 95% CI: 1.06, 1.13). Environmental characteristics have the potential to contribute to different physical activities but interventions which focus on a single environmental attribute or physical activity outcome may not have the greatest benefits.
机译:环境的特征影响健康,可以促进身体活动。我们探讨了在五个方面分组的邻里环境特征之间的协会(用于体育活动,可行性,扰动,自然环境和社会渗目环境的空间)和目标(“记录”)和自我报告的(“报告”)成年人的身体活动来自英国Biobank。使用腕带加速度计(2013-2015,N = 65,967)和时间在中等剧烈的身体活动(MVPA),行走和乐趣中花费的时间来评估录制的活动,自我报告(2006-2010,n = 337,822)。使用线性和多项逻辑回归模型和数据进行评估和数据在2017年进行了评估。我们发现居住在具有更高浓度的空气污染区域的地区,报告的身体活动水平和农村地区的较低程度和更多的可行性地区记录和报告的活动。一些关联根据结果的特异性而变化,例如,生活在最贫困地区的人不太可能记录更高水平的MVPA(上部Tertile:RRR:0.80 95%Ci:0.74,0.86),但更有可能报告更高水平的行走(上部Tertile:RRR:1.09,95%CI:1.06,1.13)。环境特征有潜力有助于不同的体育活动,而是关注单一环境属性或身体活动结果的干预可能没有最大的利益。

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