Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
J Gerontol B Psychol Sci Soc Sci. 2023 Mar 13;78(Suppl 1):S81-S90. doi: 10.1093/geronb/gbac089.
Prepandemic research suggests assistance networks for older adults grow over time and are larger for those living with dementia. We examined how assistance networks of older adults changed in response to the onset of the coronavirus disease 2019 (COVID-19) pandemic and whether these changes differed for those with and without dementia.
We used 3 rounds of the National Health and Aging Trends Study. We estimated multinomial logistic regression models to test whether changes in assistance networks during COVID-19 (2019-2020)-defined as expansion, contraction, and adaptation-differed from changes prior to COVID-19 (2018-2019). We also estimated ordinary least squares regression models to test differences in the numbers of helpers assisting with one (specialist) versus multiple (generalist) domains before and during COVID-19. For both sets of outcomes, we investigated whether pandemic-related changes differed for those with and without dementia.
Over all activity domains, a greater proportion of assistance networks adapted during COVID-19 compared to the pre-COVID-19 period (relative risk ratio = 1.19, p < .05). Contractions in networks occurred for those without dementia. Transportation assistance contracted for those with and without dementia, and mobility/self-care assistance contracted for those with dementia. The average number of generalist helpers decreased during COVID-19 (β = -0.09, p < .001).
Early in the pandemic, assistance networks of older adults adapted by substituting helpers, by contracting to reduce exposures with more intimate tasks for recipients with dementia, and by reducing transportation assistance. Future research should explore the impact of such changes on the well-being of older adults and their assistance networks.
大流行前的研究表明,老年人的援助网络随着时间的推移而增长,并且对于患有痴呆症的人来说更大。我们研究了在冠状病毒病 2019(COVID-19)大流行期间,老年人的援助网络如何发生变化,以及这些变化是否因有无痴呆症而有所不同。
我们使用了 3 轮全国健康与老龄化趋势研究的数据。我们估计了多项逻辑回归模型,以检验 COVID-19(2019-2020 年)期间援助网络的变化(定义为扩张,收缩和适应)是否与 COVID-19 之前(2018-2019 年)的变化不同。我们还估计了普通最小二乘法回归模型,以检验 COVID-19 前后在一个(专业)和多个(通用)领域协助的帮手人数的差异。对于这两组结果,我们都研究了痴呆症患者和非痴呆症患者之间的大流行相关变化是否存在差异。
在所有活动领域中,与 COVID-19 之前相比,COVID-19 期间适应援助网络的比例更高(相对风险比= 1.19,p<.05)。无痴呆症患者的网络收缩。痴呆症患者和非痴呆症患者的交通辅助收缩,痴呆症患者的移动/自我保健辅助收缩。COVID-19 期间通用帮手的平均数量减少(β= -0.09,p<.001)。
在大流行初期,老年人的援助网络通过替代帮手,通过收缩来减少与痴呆症患者的亲密任务接触来减少暴露,以及通过减少交通援助来适应。未来的研究应探讨这些变化对老年人及其援助网络福祉的影响。