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澳大利亚老年人的户外出行和幸福感:与未满足的出行需求相关的个人、建成环境和交通因素。

Older people's out-of-home mobility and wellbeing in Australia: Personal, built environment, and transportation factors associated with unmet mobility needs.

机构信息

School of Population Health, University of New South Wales, Sydney, NSW, Australia.

Australian Health Services Research Institute, University of Wollongong, Wollongong, NSW, Australia.

出版信息

Front Public Health. 2023 Feb 20;11:1121476. doi: 10.3389/fpubh.2023.1121476. eCollection 2023.

Abstract

Out-of-home mobility is fundamental to older people's wellbeing and quality of life. Understanding the unmet mobility needs of older people is a necessary starting point for determining how they can be supported to be mobile. This study estimates the extent of unmet mobility needs among older Australians and identifies the characteristics of those most likely to report unmet mobility needs. Analysis was conducted on nationally representative data of 6,685 older Australians drawn from the 2018 Survey of Disability, Aging and Carers conducted by the Australian Bureau of Statistics. Twelve predictor variables from two conceptual frameworks on older people's mobility were included in the multiple logistic regression model. Twelve percent ( = 799) of participants had unmet mobility needs, and associated factors significant in multivariable models included being among the "young-old", having a lower income, having lower levels of self-rated health, having a long-term condition, being limited in everyday physical activities, experiencing a higher level of distress, being unlicensed, having decreased public transport ability, and residing in major cities. Efforts to support older people's mobility must make equity an explicit consideration, reject a one-size-fits-all approach, and prioritize the accessibility of cities and communities.

摘要

户外出行对于老年人的幸福感和生活质量至关重要。了解老年人未满足的出行需求是确定如何支持他们出行的必要起点。本研究估计了澳大利亚老年人未满足的出行需求的程度,并确定了最有可能报告未满足的出行需求的人群的特征。分析基于澳大利亚统计局进行的 2018 年残疾、老龄化和照顾者调查中抽取的 6685 名澳大利亚老年人的全国代表性数据。多元逻辑回归模型中纳入了两个关于老年人出行的概念框架中的 12 个预测变量。12%(=799)的参与者有未满足的出行需求,多变量模型中的相关因素包括属于“年轻老年人”、收入较低、自我评估健康水平较低、患有长期疾病、日常身体活动受限、感到高度痛苦、无驾照、公共交通能力下降,以及居住在主要城市。支持老年人出行的努力必须明确考虑公平性,拒绝一刀切的方法,并优先考虑城市和社区的可达性。

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