Seo Shinae, Mattos Meghan K, Reilly Shannon, Williams Ishan, You Wen
McLeod Hall, School of Nursing, University of Virginia, P.O. Box 800782, Charlottesville, VA 22908-0782, USA.
School of Medicine, University of Virginia, Charlottesville, VA, USA.
Arch Gerontol Geriatr. 2025 Feb;129:105682. doi: 10.1016/j.archger.2024.105682. Epub 2024 Nov 5.
Sleep disturbances impact the well-being of older adults, but there has been limited research on their longitudinal patterns and how they are affected by the quality of social relationships. This study explored longitudinal sleep disturbance patterns and examined the influence of social support and social strain on sleep disturbances in older adults using data from the Health and Retirement Study (HRS) spanning from 2010 to 2018. Group-based trajectory modeling identified distinct trajectory groups. Multinomial logistic regression and a fixed effects model investigated the relationship between sleep disturbances, social support, social strain, and sociodemographic factors. Three sleep disturbance trajectories were identified: high sleep disturbances, moderate sleep disturbances, and low sleep disturbances. Multinomial logistic regression showed that higher social support decreased the likelihood of classification in the high and moderate sleep disturbance groups. Conversely, higher social strain scores increased the likelihood of belonging to the high and moderate sleep disturbance groups. The fixed effects model confirmed the role of social support in predicting sleep disturbances over time, but social strain was not a significant predictor. These findings suggest the need for tailored interventions addressing social support to reduce sleep disturbances in this population.
睡眠障碍会影响老年人的幸福感，但关于其纵向模式以及它们如何受到社会关系质量影响的研究有限。本研究利用2010年至2018年健康与退休研究（HRS）的数据，探索了纵向睡眠障碍模式，并研究了社会支持和社会压力对老年人睡眠障碍的影响。基于组的轨迹模型确定了不同的轨迹组。多项逻辑回归和固定效应模型研究了睡眠障碍、社会支持、社会压力和社会人口学因素之间的关系。确定了三种睡眠障碍轨迹：高睡眠障碍、中度睡眠障碍和低睡眠障碍。多项逻辑回归表明，更高的社会支持降低了被归类为高睡眠障碍组和中度睡眠障碍组的可能性。相反，更高的社会压力得分增加了属于高睡眠障碍组和中度睡眠障碍组的可能性。固定效应模型证实了社会支持在预测随时间变化的睡眠障碍方面的作用，但社会压力不是一个显著的预测因素。这些发现表明，需要针对社会支持进行量身定制的干预措施，以减少该人群的睡眠障碍。
