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本文引用的文献

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Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes.社区可步行性与主动交通出行:休闲和购物目的的关联研究。
Int J Environ Res Public Health. 2020 Mar 25;17(7):2178. doi: 10.3390/ijerph17072178.
2
Development of a Neighborhood Walkability Index for Studying Neighborhood Physical Activity Contexts in Communities across the U.S. over the Past Three Decades.开发邻里步行指数,以研究过去三十年来美国各地社区邻里体力活动环境。
J Urban Health. 2019 Aug;96(4):583-590. doi: 10.1007/s11524-019-00370-4.
3
Walk Score and objectively measured physical activity within a national cohort.步行分数与全国队列中客观测量的身体活动。
J Epidemiol Community Health. 2019 Jun;73(6):549-556. doi: 10.1136/jech-2017-210245. Epub 2019 Apr 3.
4
Associations between Walk Score and objective measures of physical activity in urban overweight and obese women.城市超重和肥胖女性中步行得分与体力活动客观测量指标之间的关联。
PLoS One. 2019 Mar 28;14(3):e0214092. doi: 10.1371/journal.pone.0214092. eCollection 2019.
5
Examining the Associations between Walk Score, Perceived Built Environment, and Physical Activity Behaviors among Women Participating in a Community-Randomized Lifestyle Change Intervention Trial: Strong Hearts, Healthy Communities.考察参与社区随机生活方式改变干预试验的女性的步行得分、感知建成环境与身体活动行为之间的关联:强健之心,健康社区。
Int J Environ Res Public Health. 2019 Mar 8;16(5):849. doi: 10.3390/ijerph16050849.
6
Walkable Urban Design Attributes and Japanese Older Adults' Body Mass Index: Mediation Effects of Physical Activity and Sedentary Behavior.可步行城市设计属性与日本老年人身体质量指数:体力活动和久坐行为的中介效应。
Am J Health Promot. 2019 Jun;33(5):764-767. doi: 10.1177/0890117118814385. Epub 2018 Nov 25.
7
Exercise patterns in older adults instructed to follow moderate- or high-intensity exercise protocol - the generation 100 study.指导老年人遵循中等强度或高强度运动方案的运动模式——第 100 代研究。
BMC Geriatr. 2018 Sep 10;18(1):208. doi: 10.1186/s12877-018-0900-6.
8
The Built Environment as a Determinant of Physical Activity: A Systematic Review of Longitudinal Studies and Natural Experiments.《作为身体活动决定因素的建成环境:纵向研究和自然实验的系统综述》。
Ann Behav Med. 2018 Feb 17;52(3):239-251. doi: 10.1093/abm/kax043.
9
Relationships between Neighborhood Walkability and Objectively Measured Physical Activity Levels in Hemodialysis Patients.血液透析患者邻里步行便利性与客观测量体力活动水平之间的关系。
Blood Purif. 2018;45(1-3):236-244. doi: 10.1159/000485161. Epub 2018 Jan 26.
10
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.

老年女性中,社区步行评分与通过加速度计测量的身体活动之间的关联因社区社会经济地位而异。

Association of neighborhood Walk Score with accelerometer-measured physical activity varies by neighborhood socioeconomic status in older women.

作者信息

Seguin-Fowler Rebecca A, LaCroix Andrea Z, LaMonte Michael J, Liu Jingmin, Maddock Jason E, Rethorst Chad D, Bird Chloe E, Stefanick Marcia L, Manson JoAnn E

机构信息

Institute for Advancing Health through Agriculture 1500 Research Parkway, Centeq Building B, College Station, TX 77845, United States.

Herbert Wertheim School of Public Health and Longevity Science, Division of Epidemiology University of California-San Diego, 9500 Gilman Dr #0725, La Jolla, CA, 92161 United States.

出版信息

Prev Med Rep. 2022 Jul 28;29:101931. doi: 10.1016/j.pmedr.2022.101931. eCollection 2022 Oct.

DOI:10.1016/j.pmedr.2022.101931
PMID:36161128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9502671/
Abstract

The built environment can influence physical activity behavior. Walk Score is a widely used measure of the neighborhood built environment to support walking. However, studies of the association between Walk Score and accelerometer-measured physical activity are equivocal and no studies have examined this relationship among older adults. We analyzed data from a large, diverse sample of women (n = 5650) with a mean age of 79.5 (SD = 6.7) at time of accelerometry wear in the Women's Health Initiative Objective Physical Activity Cardiovascular Health Study in the United States to examine associations between neighborhood Street Smart Walk Score (SSWS) and accelerometer-measured physical activity. Participants wore triaxial accelerometers for seven days and SSWS was determined from home addresses. 67 % of the sample lived in "car-dependent" locations (SSWS 0-49 out of 100); only 3 % lived in "walker's paradise" locations (SSWS 90-100). The multivariable model indicated an association between SSWS and accelerometer-measured physical activity (steps/day) in the total sample. The association varied by neighborhood socioeconomic status; in high socioeconomic status neighborhoods, higher SWSS was associated with greater steps per day, while no significant association between SWSS and physical activity was observed in low socioeconomic neighborhoods. This study should catalyze furtherresearch regarding the utility of SSWS in determining neighborhood walkability for older women across different neighborhood settings and suggests other built environment factors must be considered when determining walkability. Future studies should examine what factors influence walkability and develop age-relevant methods to assess and characterize neighborhood walkability.

摘要

建成环境会影响身体活动行为。步行评分是一种广泛用于衡量支持步行的邻里建成环境的指标。然而,关于步行评分与通过加速度计测量的身体活动之间关联的研究尚无定论,且尚无研究考察老年人中的这种关系。我们在美国女性健康倡议客观身体活动心血管健康研究中,分析了一个大型、多样化的女性样本(n = 5650)的数据,这些女性在佩戴加速度计测量身体活动时的平均年龄为79.5岁(标准差 = 6.7),以检验邻里街道智能步行评分(SSWS)与通过加速度计测量的身体活动之间的关联。参与者佩戴三轴加速度计七天,并根据家庭住址确定SSWS。67%的样本居住在“依赖汽车”的地区(SSWS为0至49分,满分100分);只有3%居住在“步行者的天堂”地区(SSWS为90至100分)。多变量模型表明,在整个样本中,SSWS与通过加速度计测量的身体活动(每天步数)之间存在关联。这种关联因邻里社会经济地位而异;在高社会经济地位的邻里中,较高的SWSS与每天更多的步数相关,而在低社会经济地位的邻里中,未观察到SWSS与身体活动之间存在显著关联。这项研究应促使进一步研究SSWS在确定不同邻里环境中老年女性的邻里步行适宜性方面的效用,并表明在确定步行适宜性时必须考虑其他建成环境因素。未来的研究应考察哪些因素影响步行适宜性,并开发与年龄相关的方法来评估和描述邻里步行适宜性。