Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA.
Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.
Aging Ment Health. 2021 Jan;25(1):107-117. doi: 10.1080/13607863.2019.1671317. Epub 2019 Sep 27.
Perceived social support (PSS) has a uniquely beneficial effect on physical and mental health in older adults, yet relatively little is known about patterns of change in PSS during late life. The purpose of this study was to identify risk factors related to individual-level change in PSS, with a focus on personality (specifically Neuroticism and Extraversion) and gender as primary variables of interest.
The study sample consisted of 409 community-dwelling, healthy older adults (56.5% female) who were followed annually for up to five years. Personality traits were analyzed independently and as combined Neuroticism-Extraversion quadrants. Linear mixed effect models (LMEM) and Cox proportional hazards regression were used to examine continuous change and incidence of decline in PSS, respectively. Analyses were conducted for the entire sample and in stratified models in order to explore the potential moderating effect of gender.
Personality was identified as a significant predictor of PSS change, including personality quadrants and High Neuroticism alone. Stratified models revealed significant gender differences, with High Neuroticism-Low Extraversion and High Neuroticism alone consistently linked to PSS decline in males, while Low Neuroticism-Low Extraversion was linked to PSS decline in females.
Patterns in LMEM and Cox model results suggest that PSS decline in males is likely associated with High Neuroticism, while PSS decline in females may be associated instead with Low Extraversion. Future clinical implications include earlier identification of individuals who are at risk for decreased social support, and its related impact on health.
感知到的社会支持(PSS)对老年人的身心健康具有独特的有益影响,但人们对 PSS 在晚年期间的变化模式知之甚少。本研究的目的是确定与 PSS 个体水平变化相关的风险因素,重点关注人格(特别是神经质和外向性)和性别作为主要感兴趣的变量。
研究样本由 409 名居住在社区的健康老年人(56.5%为女性)组成,他们每年随访一次,最长随访五年。人格特质分别进行分析,并作为神经质-外向性联合象限进行分析。线性混合效应模型(LMEM)和 Cox 比例风险回归分别用于检查 PSS 的连续变化和下降发生率。对整个样本和分层模型进行了分析,以探索性别潜在的调节作用。
人格被确定为 PSS 变化的重要预测因素,包括人格象限和单独的高神经质。分层模型显示出显著的性别差异,高神经质-低外向性和高神经质单独与男性的 PSS 下降相关,而低神经质-低外向性与女性的 PSS 下降相关。
LMEM 和 Cox 模型结果的模式表明,男性的 PSS 下降可能与高神经质有关,而女性的 PSS 下降可能与低外向性有关。未来的临床意义包括更早地识别那些社会支持下降风险较高的个体,以及其对健康的相关影响。