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Int J Environ Res Public Health. 2019 Mar 8;16(5):849. doi: 10.3390/ijerph16050849.
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Evidence synthesis - A systematized literature review on the associations between neighbourhood built characteristics and walking among Canadian adults.证据综合 - 一项关于加拿大成年人居住环境特征与步行之间关系的系统文献综述。
Health Promot Chronic Dis Prev Can. 2019 Jan;39(1):1-14. doi: 10.24095/hpcdp.39.1.01.
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Perceived Neighborhood Environmental Factors That Maximize the Effectiveness of a Multilevel Intervention Promoting Physical Activity Among Latinas.可增强多层次干预措施在促进拉丁裔女性身体活动方面有效性的邻里环境感知因素。
Am J Health Promot. 2018 Feb;32(2):334-343. doi: 10.1177/0890117117742999. Epub 2017 Nov 22.
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Systematic literature review of built environment effects on physical activity and active transport - an update and new findings on health equity.建成环境对身体活动和主动出行影响的系统文献综述——健康公平性的更新与新发现
Int J Behav Nutr Phys Act. 2017 Nov 16;14(1):158. doi: 10.1186/s12966-017-0613-9.
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UWALK: the development of a multi-strategy, community-wide physical activity program.UWALK:一项多策略、全社区范围的体育活动计划的开展
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客观测量和自我报告的邻里可步行性与互联网推送计步器干预期间的依从性和步数之间的关联。

Associations between objectively-measured and self-reported neighbourhood walkability on adherence and steps during an internet-delivered pedometer intervention.

机构信息

Cumming School of Medicine, University of Calgary, Alberta, Canada.

Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Alberta, Canada.

出版信息

PLoS One. 2020 Dec 3;15(12):e0242999. doi: 10.1371/journal.pone.0242999. eCollection 2020.

DOI:10.1371/journal.pone.0242999
PMID:33270692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7714347/
Abstract

BACKGROUND

Accumulating evidence suggests that the built environment is associated with physical activity. The extent to which the built environment may support adherence to physical activity interventions is unclear. The aim of this study was to investigate whether the neighbourhood built environment constrains or facilitates adherence and steps taken during a 12-week internet-delivered pedometer-based physical activity intervention (UWALK).

METHOD

The study was undertaken in Calgary (Canada) between May 2016 and August 2017. Inactive adults (n = 573) completed a telephone survey measuring sociodemographic characteristics and perceived neighbourhood walkability. Following the survey, participants were mailed a pedometer and instructions for joining UWALK. Participants were asked to report their daily pedometer steps into the online program on a weekly basis for 12 weeks (84 days). Walk Score® estimated objective neighbourhood walkability and the Neighbourhood Environment Walkability Scale-Abbreviated (NEWS-A) measured participants self-reported neighbourhood walkability. Regression models estimated covariate-adjusted associations of objective and self-reported walkability with: 1) adherence to the UWALK intervention (count of days with steps reported and count of days with 10000 steps reported), and; 2) average daily pedometer steps.

RESULTS

On average, participants undertook 8565 (SD = 3030) steps per day, reported steps on 67 (SD = 22.3) of the 84 days, and achieved ≥10000 steps on 22 (SD = 20.5) of the 84 days. Adjusting for covariates, a one-unit increase in self-reported walkability was associated on average with 45.76 (95CI 14.91, 76.61) more daily pedometer steps. Walk Score® was not significantly associated with steps. Neither objective nor self-reported walkability were significantly associated with the UWALK adherence outcomes.

CONCLUSION

The neighbourhood built environment may support pedometer-measured physical activity but may not influence adherence to pedometer interventions. Perceived walkability may be more important than objectively-measured walkability in supporting physical activity during pedometer interventions.

摘要

背景

越来越多的证据表明,建筑环境与身体活动有关。建筑环境对身体活动干预措施的依从性的支持程度尚不清楚。本研究旨在调查邻里建筑环境是否限制或促进了 12 周基于互联网计步器的身体活动干预(UWALK)期间的依从性和采取的步骤。

方法

该研究于 2016 年 5 月至 2017 年 8 月在加拿大卡尔加里进行。非活跃成年人(n=573)完成了一项电话调查,测量了社会人口统计学特征和感知邻里可步行性。调查结束后,参与者收到了计步器和加入 UWALK 的说明。参与者被要求每周在网上程序中报告他们的每日计步器步数,为期 12 周(84 天)。Walk Score®估计了客观邻里可步行性,邻里环境步行能力量表-简化版(NEWS-A)测量了参与者自我报告的邻里可步行性。回归模型估计了客观和自我报告的可步行性与以下方面的协变量调整关联:1)对 UWALK 干预的依从性(报告步数的天数和报告 10000 步的天数);2)平均每日计步器步数。

结果

参与者平均每天进行 8565 步(SD=3030),在 84 天中的 67 天(SD=22.3)报告了步数,在 84 天中的 22 天(SD=20.5)达到了≥10000 步。调整协变量后,自我报告的可步行性每增加一个单位,平均每天的计步器步数增加 45.76(95CI 14.91,76.61)。Walk Score®与步数无显著关联。客观和自我报告的可步行性与 UWALK 依从性结果均无显著关联。

结论

邻里建筑环境可能支持计步器测量的身体活动,但可能不会影响计步器干预措施的依从性。感知可步行性在支持计步器干预期间的身体活动方面可能比客观测量的可步行性更为重要。