Lu Peiyi, Kong Dexia, Shelley Mack
Iowa State University, Ames, USA.
Rutgers University, New Brunswick, NJ, USA.
J Appl Gerontol. 2021 Oct;40(10):1197-1205. doi: 10.1177/0733464820949042. Epub 2020 Aug 14.
This study applied the theory of planned behavior to examine predictors of U.S. older adults' (65+ years) intention and behavior of moving to a nursing home. Two waves of Health and Retirement Study data were used ( = 9,969). Moving intention was measured by respondents' self-reported probability to move in the next 5 years in Wave 1. Moving behavior was measured by whether they actually moved in Wave 2. Structural equation modeling was used to examine the relationships of demographic and health predictors with moving intention and behavior. For both genders, advanced age, poorer health, having fewer children, and long-term care insurance were associated with higher levels of moving intention and behavior. Men's intention was a significant predictor of subsequent moving behavior. However, women's intention was not associated with moving behavior, probably due to inadequate resources to support their preference. The findings provide meaningful personhood-centered insights into nursing home entry decisions.
本研究应用计划行为理论来检验美国老年人（65岁及以上）入住养老院的意愿和行为的预测因素。使用了两波健康与退休研究数据（n = 9969）。入住意愿通过受访者在第一波中自我报告的未来5年内入住的可能性来衡量。入住行为通过他们在第二波中是否实际入住来衡量。采用结构方程模型来检验人口统计学和健康预测因素与入住意愿和行为之间的关系。对于男性和女性来说，高龄、健康状况较差、子女较少以及长期护理保险都与较高水平的入住意愿和行为相关。男性的意愿是后续入住行为的一个重要预测因素。然而，女性的意愿与入住行为无关，这可能是由于缺乏足够的资源来支持她们的偏好。这些发现为养老院入住决策提供了有意义的以个体为中心的见解。
