College of Business and Economics, California State University Fullerton, USA.
J Gerontol B Psychol Sci Soc Sci. 2021 Jun 8;76(Suppl 1):S86-S96. doi: 10.1093/geronb/gbab004.
To study the role of gender and marital status as risk factors for nursing home entry in the United States.
The paper uses data from the Health and Retirement Study, a nationally representative survey of the older population in the United States. Multivariate logit models of the risk of nursing home entry over a 2-year follow-up period were estimated for noninstitutionalized individuals over the age of 65. A multiple imputation procedure was used to explore the sensitivity of the results to alternative assumptions about the data-generating process of missing outcome values.
In an analysis based on complete observations, women exhibited the same risk of nursing home entry as men (risk ratio [RR] = 1.01; CI: 0.90, 1.13). However, after expanding the sample to include information on nursing home use for individuals who died during the follow-up period, women were found to have a statistically lower risk of nursing home entry (RR = 0.85; CI: 0.79, 0.92). The latter result was robust to alternative assumptions about the nature of missing data. The type of sample used in the analysis did not affect the conclusions regarding the role of marital status. Divorced and widowed individuals were found to be at higher risk of nursing home admissions than married individuals in all specifications.
The findings clarify the role of gender as a predictor of nursing home admissions and may provide useful prognostic information for clinicians and caregivers regarding nursing home entry risk. The study also sheds light on how conclusions about predictors of nursing home risk obtained from prospective studies with long follow-up periods can be affected by the treatment of missing outcomes due to death or attritions.
研究性别和婚姻状况作为美国养老院入住风险因素的作用。
本文使用了来自美国健康与退休研究的数据,这是一项对美国老年人口的全国代表性调查。对 65 岁以上未入住养老院的个体在 2 年随访期间入住养老院的风险,使用多元逻辑回归模型进行了分析。采用多重插补程序,以探索结果对缺失结果值产生过程的替代假设的敏感性。
在基于完整观察的分析中,女性与男性入住养老院的风险相同(风险比 [RR] = 1.01;CI:0.90,1.13)。然而,在将样本扩展到包括随访期间死亡的个体使用养老院的信息后,发现女性入住养老院的风险统计学上较低(RR = 0.85;CI:0.79,0.92)。后一种结果对缺失数据性质的替代假设具有稳健性。分析中使用的样本类型不影响关于婚姻状况作用的结论。在所有情况下,与已婚个体相比,离婚和丧偶个体入住养老院的风险更高。
研究结果阐明了性别作为养老院入住预测因素的作用,并为临床医生和护理人员提供了有关养老院入住风险的有用预后信息。该研究还揭示了如何通过对具有长期随访期的前瞻性研究中获得的养老院风险预测因素的结论,受到因死亡或失访导致的缺失结果的处理的影响。