Associations of changes in neighbourhood walkability with changes in walking activity in older adults: a fixed effects analysis

Author:

Timmermans Erik J.,Visser Marjolein,Wagtendonk Alfred J.,Noordzij J. Mark,Lakerveld Jeroen

Abstract

Abstract Background Supporting older adults to engage in physically active lifestyles requires supporting environments. Walkable environments may increase walking activity in older adults, but evidence for this subgroup is scarce, and longitudinal studies are lacking. This study therefore examined whether changes in neighbourhood walkability were associated with changes in walking activity in older adults, and whether this association differed by individual-level characteristics and by contextual conditions beyond the built environment. Methods Data from 668 participants (57.8–93.4 years at baseline) across three waves (2005/06, 2008/09 and 2011/12) of the Longitudinal Aging Study Amsterdam (LASA) were used. These individuals did not relocate during follow-up. Self-reported outdoor walking activity in minutes per week was assessed using the LASA Physical Activity Questionnaire. Composite exposure measures of neighbourhood walkability (range: 0 (low)-100 (high)) within 500-m Euclidean buffer zones around each participant’s residential address were constructed by combining objectively measured high-resolution Geographic Information System data on population density, retail and service destination density, land use mix, street connectivity, green space density, and sidewalk density. Fixed effects linear regression analyses were applied, adjusted for relevant time-varying confounders. Results Changes in neighbourhood walkability were not statistically significantly associated with changes in walking activity in older adults (β500m = − 0.99, 95% CI = -6.17–4.20). The association of changes in neighbourhood walkability with changes in walking activity did not differ by any of the individual-level characteristics (i.e., age, sex, educational level, cognitive impairment, mobility disability, and season) and area-level characteristics (i.e., road traffic noise, air pollution, and socioeconomic status). Conclusions This study did not show evidence for an association between changes in neighbourhood walkability and changes in walking activity in older adults. If neighbourhood walkability and walking activity are causally linked, then changes in neighbourhood walkability between 2005/06 and 2011/12 might have been not substantial enough to produce meaningful changes in walking activity in older adults.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference74 articles.

1. Kohl HW, Craig CL, Lambert EV, Inoue S, Akandari JR, Leetongin G, et al. Lancet Physical activity series working group. The pandemic of physical inactivity: global action for public health. Lancet. 2012;380(9838):294–305. https://doi.org/10.1016/S0140-6736(12)60898-8.

2. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Lancet physical activity series working group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–29. https://doi.org/10.1016/S0140-6736(12)61031-9.

3. National Institute for public health and the environment. Beweeggedrag bij personen van 4 jaar en ouder in 2019 [physical activity behaviour among people aged 4 years and over in 2019]. [in Dutch]. Bilthoven, the Netherlands: National Institute for public health and the environment, 2020. Available from: https://www.rivm.nl/leefstijlmonitor/bewegen. Date of last update: October 8, 2020. Date of citation: February 15, 2021.

4. Timmermans EJ, Hoogendijk EO, Broese van Groenou MI, Comijs HC, Van Schoor NM, FCF T, et al. Trends across 20 years in multiple indicators of functioning among older adults in the Netherlands. Eur J Pub Health. 2019;29(6):1096–102. https://doi.org/10.1093/eurpub/ckz065.

5. United Nations. World Population Prospects 2019. New York, United States of America: United Nations, Department of Economic and Social Affairs, Population Division, 2019. Available from: https://population.un.org/wpp/Graphs/Probabilistic/PopPerc/65plus/900. Date of citation: February 15, 2021.

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3