Association between Sleep Quality and C-Reactive Protein: Results from National Health and Nutrition Examination Survey, 2005-2008

Abstract

ObjectiveOur objective was to explore the association between poor sleep quality and hs_CRP in an adult U.S. population.MethodsThis study focused on 9,317 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005–2008 who were aged 20–85 years, completed a sleep disorder questionnaire, and had available information on serum hs_CRP. Sleep quality was classified into three categories (good, moderate, poor) based on the responses of participants to the NHANES sleep disorder questionnaire. High CRP was defined as hs-CRP >1 md/dL. Linear regression model was applied to investigate the association between poor sleep quality and log-transformed hs_CRP. And logistic regression model was fitted to evaluate the association between sleep quality and the risk of high CRP.ResultsFemales were more likely to report poor sleep quality than males (26% vs. 19%, p<0.0001). Each sleep disorder was significantly associated with increased hs_CRP and correlative to other sleep disorders. In fully-adjusted linear regression model, poor sleep quality was significantly associated with elevated hs_CRP (log transformed) among the overall sample and in females only (β = 0.10, se = 0.03, p<0.01 and β = 0.13, se = 0.04, p<0.01, respectively). In fully-adjusted logistics regression model, poor sleep quality was linked with risk of high CRP(OR: 1.42, 95%CI: 1.15–1.76 in overall sample and OR: 1.59, 95%CI: 1.18–2.14 in females, respectively).ConclusionWe found that poor sleep quality was independently associated with elevated hs_CRP in females but not in males in a U.S. adult population.

Associations of Self-Reported Sleep Quality with Circulating Interferon Gamma-Inducible Protein 10, Interleukin 6, and High-Sensitivity C-Reactive Protein in Healthy Menopausal Women

“…Cumulative evidence further shows that inflammation status is related to the patterns of sleep disturbance such as sleep duration and efficiency as well as by gender, age, and comorbid diseases [29]. Hs-CRP has been demonstrated to be a very sensitive measure of systemic inflammation Recently, several large epidemiological and clinical studies have explored the association between poor sleep quality and hs-CRP [15,30]. Liu and colleagues found that poor sleep quality was associated with elevated plasma levels of hs-CRP in females but not in males in a U.S. adult population [15].…”

“…Hs-CRP has been demonstrated to be a very sensitive measure of systemic inflammation Recently, several large epidemiological and clinical studies have explored the association between poor sleep quality and hs-CRP [15,30]. Liu and colleagues found that poor sleep quality was associated with elevated plasma levels of hs-CRP in females but not in males in a U.S. adult population [15]. The present study also detected a consistent association between poor global sleep quality and circulating hs-CRP concentrations in menopausal women [15,16].…”

“…A number of cytokines and chemokines, including interleukin-1 beta (IL-1β), tumor necrosis factor-alpha (TNF-α) and IL-6, as well as high-sensitivity C-reactive protein (hs-CRP) have been shown to be related to insomnia [10,13,14]. In addition, poor sleep quality and quantity have also been linked to systemic inflammation [15]. Although sleep disturbance is common in the menopausal population, few studies have examined the relationships between sleep disturbance and inflammation in menopausal women.…”

Sleep quality and risk of diabetes and coronary artery disease among young men

“…Several mechanisms could be considered as potential mediators for the association between sleep quality and future cardiometabolic risk. These include dysregulation of the hypothalamic-pituitary axis [30], occult obstructive sleep apnea (OSA) [3,31], low-grade inflammation [32], autonomic [33,34] and endothelial dysfunction [35].…”

Overtime, Shift Work, Poor Sleep and the Effects on Obesity: A Public Health Problem

“…Interactions between external and environmental factors (ex: long work days, commute time) with internal factors may share a complex relationship activating physiological pathways [29]. Other commonly proposed mechanisms attempting to explain this relationship include: changes in eating habits [32], changes in hormone regulation altering serum ghrelin and leptin levels causing increased appetite [33], greater fatigue reducing physical activity levels [34], and physiological changes in inflammatory pathways [35,36] and metabolism [37].…”