Linking discrimination and sleep with biomarker profiles: An investigation in the MIDUS study

• Main Authors: Tiffany Yip, Mingzhang Chen, Yijie Wang, Natalie Slopen, David Chae, Naomi Priest, David Williams
• Format: Article
• Language: English
• Published: Elsevier 2021-02-01
• Series: Comprehensive Psychoneuroendocrinology
• Subjects: Sleep; Discrimination; Inflammation; Endocrine; Latent profiles
• Online Access: http://www.sciencedirect.com/science/article/pii/S2666497620300217

Self-reported experiences of discrimination and sleep dysfunction have both been shown to adversely impact biological functioning; however, few studies have examined how they are jointly associated with health. The current study draws from two samples of the Midlife in the United States (MIDUS) data (n ​= ​617 participants; 59.8% female; 72.3% White and 27.7% African American; Age: Mean ​= ​52.6, SD ​= ​12.22) to identify profiles of sleep (duration, variability, onset latency, wake after sleep onset, naps) and discrimination (everyday, lifetime, impact). Associations with latent profiles of biomarkers of inflammation (CRP, fibrinogen, IL-6) and endocrine stress (cortisol, epinephrine, norepinephrine) were examined. Three profiles were identified for sleep/discrimination (good, fair, poor) and for biomarkers (average, high inflammation, high neuroendocrine). Chi-square analyses indicated that adults in the good sleep/low discrimination profile were more likely to be in the average biomarker profile but less likely to be in the high inflammation profile. Adults in the fair sleep/moderate discrimination risk profile were more likely to be in the high inflammation profile. Adults in the poor sleep/high discrimination risk profile were less likely to be in the average biomarker profile but more likely to be in the high inflammation profile. The current study identified configurations of sleep and discrimination among midlife adults which were associated with profiles of biological risk. The findings provide implications for identifying individuals who may be at increased risk of developing stress-related tertiary outcomes of morbidity and disease.