School of Social Work, University of Michigan, Ann Arbor.
Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, China.
Gerontologist. 2020 Jan 24;60(1):101-111. doi: 10.1093/geront/gnz023.
The purpose of this study was to examine the trajectories of homebound status in older adults and to investigate the risk factors in shaping the pattern of these trajectories.
The study sample was a nationally representative sample of Medicare beneficiaries aged 65 and older (N = 7,607) from the National Health and Aging Trends Study (Round 1-Round 7). Homebound state was defined as never or rarely went out the home in the last month. Homebound trajectories were identified using an enhanced group-based trajectory modeling that accounted for nonrandom attrition. Multinomial logistic regression was used to examine risk factors of homebound trajectories.
Three trajectory groups were identified: the "never" group (65.5%) remained nonhomebound; the "chronic" group were largely persistently homebound (8.3%); and the "onset" group (26.2%) had a rapid increase in their risk of being homebound over the 7-year period. The following factors increased the relative risk for being on the "onset" and "chronic" versus the "never" trajectory: older age, Hispanic ethnicity, social isolation, past or current smoking, instrumental activities of daily living limitations, probable dementia, and use of a walker or wheelchair. Male sex and living alone were associated with a lower risk of being on the "chronic" trajectory, whereas depression and anxiety symptoms, chronic conditions, and activities of daily living limitations increased the risk.
The progression of homebound status among community-dwelling older adults followed three distinct trajectories over a 7-year period. Addressing social isolation and other risk factors may prevent or delay the progression to homebound state.
本研究旨在探讨老年人居家状态的轨迹,并研究塑造这些轨迹模式的风险因素。
研究样本是来自国家健康老龄化趋势研究(第 1 轮-第 7 轮)的 Medicare 受益人的全国代表性样本,年龄在 65 岁及以上(N=7607)。居家状态定义为在过去一个月内从未或很少外出过家门。使用增强型基于群组的轨迹建模来识别居家轨迹,该模型考虑了非随机失访。使用多项逻辑回归来检查居家轨迹的风险因素。
确定了三个轨迹组:“从不”组(65.5%)保持非居家状态;“慢性”组(8.3%)基本持续居家;“起始”组(26.2%)在 7 年期间居家风险迅速增加。以下因素增加了处于“起始”和“慢性”轨迹相对于“从不”轨迹的相对风险:年龄较大、西班牙裔、社会隔离、过去或现在吸烟、日常生活活动受限、可能的痴呆症以及使用助行器或轮椅。男性和独居与处于“慢性”轨迹的风险较低相关,而抑郁和焦虑症状、慢性疾病以及日常生活活动受限则增加了风险。
在 7 年内,社区居住的老年人居家状态的进展呈现出三种截然不同的轨迹。解决社会隔离和其他风险因素可能会预防或延迟居家状态的进展。