Elizabeth Dole Center on Excellence for Veteran and Caregiver Research, South Texas Veterans Health Care System, Audie L. Murphy Division, San Antonio, TX, USA.
Department of Family Science and Social Work, 6403Miami University, Oxford, OH, USA.
J Appl Gerontol. 2022 Sep;41(9):2013-2021. doi: 10.1177/07334648221100227. Epub 2022 May 16.
Increasing numbers of older adults require caregiver support from unpaid caregivers. Yet, there is limited research on caregiver burden type and interactions across race, gender, and other sociodemographic characteristics. This quantitative study uses an intersectional framework to examine associations between caregiving burden and sociodemographic factors. Using survey data from the National Survey of Caregiving the sample included unpaid caregivers ( = 1304) of older adult (65+) Medicare beneficiaries. Binary logistic regression analysis revealed that over 40% of the respondents reported emotional difficulties. Correlates to emotional difficulties included race, gender, age, and income with an age by income interaction. For physical difficulties, gender, age, work, and education mattered most, with an age by education interaction. Age and income predicted financial difficulties without interactions. Findings suggest that policymakers target emotional and physical difficulties, attend to age and socioeconomic status, and address the unique challenges faced in midlife by caregivers.
越来越多的老年人需要非专业照顾者提供照顾支持。然而，关于不同种族、性别和其他社会人口特征的照顾者负担类型和相互作用的研究有限。这项定量研究使用交叉框架来研究照顾负担与社会人口因素之间的关联。该研究使用全国照顾调查的数据，样本包括（=1304）年龄在 65 岁及以上的医疗保险受益人的非专业照顾者。二元逻辑回归分析显示，超过 40%的受访者报告存在情绪困难。与情绪困难相关的因素包括种族、性别、年龄和收入，以及年龄与收入的相互作用。对于身体困难，性别、年龄、工作和教育是最重要的因素，还有年龄与教育的相互作用。年龄和收入预测了没有相互作用的经济困难。研究结果表明，政策制定者应针对情绪和身体困难，关注年龄和社会经济地位，并解决照顾者在中年面临的独特挑战。
