Exploring Black-White Differences in the Relationship Between Inflammation and Timing of Menopause

Abstract

Understanding the biosocial context of menopausal timing offers insight into social and health inequalities. Prior research on inflammatory chronic conditions suggests that inflammation may predict how early women experience menopause. We explore the ability of black race to moderate the overall relationship between chronic inflammation and timing of menopause. We use data from the National Social Life, Health, and Aging Project on inflammation, age of last menstruation, and race as well as relevant social and medical covariates. We conduct event history modeling to predict age at menopause by inflammatory biomarker levels. Using interaction analysis, we investigate whether being black may shape the overall relationship between inflammation status and menopause timing. Our analyses find no significant statistical interactions between black race and inflammation in predicting menopausal onset. However, we do identify independent correlational relationships between inflammation and black race (r = 0.136) and between menopausal timing and black race (r = -0.129) as well as inflammation (r = -0.138) that emerge as significant in corresponding regression models. We conclude that race probably does not moderate associations between inflammation and menopause. Yet, we also note that the original parameter estimate for black race's impact on menopausal onset (HR = 1.29, p < 0.05) becomes non-significant in a model that includes inflammation (HR = 1.06, p < 0.01). To translate our findings into policy and practice implications, we present alternate conceptualizations of black-white disparity in the inflammation-menopause relationship and recommend future research using mediation modeling.

Keywords: Event history analysis; Inflammation; Menopause; NSHAP; Race.