Racial Differences in C-Reactive Protein, Depression Symptoms, and Social Relationships in Older Adults: A Moderated Network Analysis

适度 心理学 情感(语言学) 调解 社会支持 临床心理学 社交网络(社会语言学) 萧条(经济学) 人际关系 民族 人际交往 成功老龄化 发展心理学 老年学 医学 社会心理学 宏观经济学 政治学 沟通 社会学 人类学 法学 经济 社会化媒体
作者
Chi‐Young Lee,Se Hee Min
出处
期刊:Biological Research For Nursing [SAGE Publishing]
卷期号:25 (3): 480-490 被引量:5
标识
DOI:10.1177/10998004231157767
摘要

Introduction We introduce moderated network analysis as an integrative approach to assess the moderation effects of race on the relationship between C-reactive protein (CRP) and depression symptoms in older adults. This study further explores how the observed relationships differ adjusting for social relationships. Methods This secondary analysis of cross-sectional data from the National Social Life, Health, and Aging Project (2010–2011) includes 2,880 older adults. We used different depression symptom domains (depressed affect, low positive affect, somatic symptoms, and interpersonal problems) from the Center for Epidemiologic Studies-Depression Scale. Social relationships were assessed with measures of social integration, social support, and social strain. The moderated networks were constructed using the R-package mgm. The racial moderator was coded as White/African American racial groups. Results In the moderated networks of CRP and depression symptoms, CRP–“interpersonal problems” edge was present only among African Americans. CRP–“somatic symptoms” edge was present in both racial groups with equal edge weights. After adjusting for social relationships, the aforementioned patterns remained the same, but the edge weights were attenuated. We additionally observed CRP–social strain and social integration–“depressed affect” edges only in African Americans. Discussion Race may moderate the relationship between the CRP and depression symptoms in older adults and social relationships might be important covariates to consider while analyzing them. This study as an initiation point; future network investigations would benefit from leveraging more contemporary cohorts of older adults, gaining a large sample size with diverse racial/ethnic backgrounds, and important covariates. Several important methodological issues of the current study are addressed.
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