美国老年人心理健康的邻里预测因素:来自5年纵向研究的证据

Adaralegbe Adeleye A, Adaralegbe Ngozi J, Moore Ami, Iyanda Ayodeji Emmanuel, Olawaye Ayodele, Aroyewun Opeyemi, Ezeani Esther, O. Oladoyin, Ayeni Olumide
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摘要

背景:随着老年人对他人依赖的增加,环境资源成为老年人经历健康老龄化的重要资产。因此,邻里环境是影响老年人心理健康的多种因素之一。这项研究调查了在同一社区随访五年以上的美国老年人中,是否以及哪些社区因素可以预测抑郁和焦虑。方法:利用国家社会生活、健康和老龄化项目(NSHAP)的两波公开纵向数据。采用分层多元回归模型分析邻里因素与心理健康之间的关系。次要数据包含1731名老年人。结果测量为使用11项CES抑郁量表的抑郁和使用7项HADS焦虑量表的焦虑。预测因素是四个邻里因素:社会凝聚力、社会关系、邻里问题和感知到的邻里危险。我们还根据人口统计和身体健康特征进行了调整。结果:受访者的平均年龄为71.4±6.5岁,主要为女性(55.5%)和白人(74.4%)。较低的社区社会凝聚力和较高的社区危险感可显著预测抑郁症。然而,该模型仅解释了抑郁症中2.8%的方差。在调整了人口统计学和身体健康特征以及基线抑郁后5年,没有任何邻居因素预测抑郁,但该模型显著提高到32.5%。在调整了其他协变量后,邻居问题是焦虑的唯一显著预测因素,并解释了27.8%的焦虑方差。结论:该研究揭示了老年人邻里关系与心理健康之间的复杂性。此外,我们的研究结果表明,城市规划者和政策制定者可以通过正确绘制城市地图和减少老年人社区内的无序现象来影响健康老龄化。因此,未来的政策制定和干预措施应以改善身体和社会环境为目标,以提高老年人的心理健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neighborhood Predictors of Mental Health of Older Americans: Evidence from a 5-year Longitudinal Study
Background: With increasing dependence on other people in old age, environmental resources become an important asset for older adults to experience healthy aging. Neighborhood conditions, therefore, are some of the multiple factors that contribute to the mental wellbeing of older adults. This study investigated whether and which neighborhood factors predicted depression and anxiety among American older adults followed up for over five years within the same neighborhood. Methods: Two waves of publicly available longitudinal data from the National Social Life, Health, and Aging Project (NSHAP) were utilized. A hierarchical multiple regression model analysis was employed to explore the association between neighborhood factors and mental health. The secondary data contained a cohort of 1,731 older adults. Outcome measures were depression using the 11-item CES-Depression Scale and anxiety using the 7-item HADS Anxiety Scale. The predictors were four neighborhood factors: Social cohesion, social ties, neighborhood problems, and perceived neighborhood danger. We also adjusted for demographic and physical health characteristics. Results: The mean age of the respondents was 71.4 ± 6.5 years and were mostly females (55.5%) and Whites (74.4%). Lower Neighborhood Social Cohesion and a higher Perceived Neighborhood Danger significantly predicted depression. However, the model only explained 2.8% of the variance in Depression. None of the neighborhood factors predicted depression following 5 years after adjusting for demographic and physical health characteristics and baseline depression, but the model significantly improved to 32.5%. Neighborhood problem was the only significant predictor of anxiety after adjusting for other covariates and explained 27.8% of the variance in anxiety. Conclusion: The study sheds some light on the complexity of the relationship between neighborhood and mental health in older adults. Moreover, our findings suggest that city planners and policymakers can influence healthy aging through the proper mapping of a city and the reduction in disorderliness within communities for older adults. Therefore, future policy development and interventions should target improving both physical and social environments to enhancing the mental wellbeing of older adults.
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