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使用移动辅助产品的人口统计学、社会经济和社会障碍:对英国老龄化纵向研究的多州分析

Demographic, socioeconomic, and social barriers to use of mobility assistive products: a multistate analysis of the English Longitudinal Study of Ageing.

作者信息

Danemayer Jamie, Bloomberg Mikaela, Mills Adam, Holloway Cathy, Hussein Shereen

机构信息

Global Disability Innovation Hub, Department of Computer Science, University College London, London, UK.

Department of Epidemiology and Public Health, University College London, London, UK.

出版信息

Lancet Public Health. 2025 Jan;10(1):e20-e28. doi: 10.1016/S2468-2667(24)00243-3. Epub 2024 Dec 12.

Abstract

BACKGROUND

Cross-sectional evidence suggests that access to essential mobility assistive products (MAPs) might be dependent on non-clinical factors. However, MAP use is better understood as a dynamic process wherein individuals pass through different states of MAP need and use. We aimed to test associations of demographic, socioeconomic, and social factors with transitions between MAP need and use states.

METHODS

For this multistate modelling study, data were drawn from 13 years (May, 2006, to July, 2019) of the English Longitudinal Study of Ageing, a prospective cohort study. We included respondents aged 50-89 years who participated in at least two waves of data collection. We used multistate models to examine associations of demographic, socioeconomic, and social factors, including age, sex, education, employment, wealth, marital status, and help with activities of daily living (ADL), with transitions between three main states: no need for MAPs, unmet need for MAPs, and use of MAPs.

FINDINGS

We used data collected from 12 080 respondents (6586 women and 5494 men). During follow-up, 5102 (42·2%) of participants had unmet MAP need and 3330 (27·6%) used MAPs. Women were more likely than men to transition from no need to unmet need (hazard ratio [HR] 1·49, 95% CI 1·38-1·60) and less likely to transition from unmet need to use (0·79, 0·72-0·86). We found an increase in risk of transitioning from no need to unmet need for each 1-year increase in age (1·06, 1·06-1·07), for those with low education level (1·34, 1·23-1·45), those with help with ADL (1·32, 1·16-1·49), and who were not employed (1·22, 1·07-1·40) or disabled (3·83, 2·98-4·93). Similarly, we found an increase in risk of transitioning unmet need to use for each 1-year increase in age (1·06, 1·05-1·06), for those with low education level (1·20, 1·10-1·31), and those with help with ADL (1·25, 1·13-1·38). Increasing wealth was associated with a reduced risk of transitioning from no need to unmet need (0·78, 0·74-0·81) and from unmet need to use (0·94, 0·89-0·99). Single people were more likely to transition from unmet need to use than partnered people (HR 1·21, 95% CI 1·10-1·33).

INTERPRETATION

Women might be disproportionately likely to have unmet MAP needs, whereas other demographic, socioeconomic, and social factors are associated with high MAP need overall. Our findings directly support efforts towards expanding access to assistive products and identifying groups that could particularly benefit. As the first study of its kind to our knowledge, replication with other longitudinal datasets is needed.

FUNDING

UK Aid.

摘要

背景

横断面证据表明,获得基本移动辅助产品(MAPs)可能取决于非临床因素。然而,更好地将MAP使用理解为一个动态过程,即个体经历MAP需求和使用的不同状态。我们旨在测试人口统计学、社会经济和社会因素与MAP需求和使用状态之间转变的关联。

方法

对于这项多状态建模研究,数据取自英国老龄化纵向研究13年(2006年5月至2019年7月)的数据,这是一项前瞻性队列研究。我们纳入了年龄在50 - 89岁且至少参与了两波数据收集的受访者。我们使用多状态模型来检验人口统计学、社会经济和社会因素,包括年龄、性别、教育程度、就业情况、财富、婚姻状况以及日常生活活动(ADL)方面的帮助,与三个主要状态之间转变的关联:不需要MAPs、未满足的MAP需求以及使用MAPs。

结果

我们使用了从12080名受访者(6586名女性和5494名男性)收集的数据。在随访期间,5102名(42.2%)参与者有未满足的MAP需求,3330名(27.6%)使用了MAPs。女性比男性更有可能从不需要转变为未满足需求(风险比[HR] 1.49,95%置信区间1.38 - 1.60),而从未满足需求转变为使用的可能性较小(0.79,0.72 - 0.86)。我们发现,年龄每增加1岁,从不需要转变为未满足需求的风险增加(HR 1.06,95%置信区间1.06 - 1.07),对于低教育水平者(1.34,1.23 - 1.45)、在ADL方面需要帮助者(1.32,1.16 - 1.49)、未就业者(1.22,1.07 - 1.40)或残疾者(3.83,2.98 - 4.93)也是如此。同样,我们发现年龄每增加1岁,从未满足需求转变为使用的风险增加(HR 1.06,95%置信区间1.05 - 1.06),对于低教育水平者(1.20,1.10 - 1.31)以及在ADL方面需要帮助者(1.25,1.13 - 1.38)也是如此。财富增加与从不需要转变为未满足需求的风险降低(0.78,0.74 - 0.81)以及从未满足需求转变为使用的风险降低(0.94,0.

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