Cited by 39Sleep and related disordersCircadian rhythm and melatoninAdipokines, Inflammation, and Metabolic Diseases

Associations between actigraphy-assessed sleep, inflammatory markers, and insulin resistance in the Midlife Development in the United States (MIDUS) study

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Kim, Tae Ho, Carroll, Judith E., An, Suk Kyoon, Seeman, Teresa E., Namkoong, Kee, Lee, Eun·2016·Sleep Medicine

Abstract

Background Disturbed sleep has been associated with increased insulin resistance and elevated inflammation. Although there is growing body of evidence that activation of inflammatory pathways plays a crucial role in the development of insulin resistance, the mediational model whereby sleep disturbances influence inflammation that drives insulin resistance has not been fully assessed in general population studies with objectively measured sleep. This study aimed to examine associations between objectively measured sleep, inflammatory markers, and insulin resistance simultaneously and in a mediational analysis, thereby offering insights into the possible causal model.Methods Cross-sectional data collected from 2004 to 2009 during the Midlife Development in the United States II biomarker project were used. The study population included 374 community-based participants (138 men and 236 women) who completed seven nights of wrist actigraphy. Multiple regressions controlling for age and statistically significant variables in univariate regressions were performed to evaluate the associations between actigraphy-assessed sleep measures, inflammatory cytokines, and insulin resistance.Results The regression models showed that in women, higher sleep onset latency (SOL) was associated with higher insulin resistance after controlling for age, smoking, obesity, diabetes, depression, and inflammatory cytokines. Higher SOL was also associated with higher interleukin (IL)-6 and C-reactive protein (CRP) levels in women, but no association was found in men. Using mediation models in women, the association between SOL and insulin resistance was partially explained by the indirect effect of inflammatory cytokines.Conclusion A combination of inflammation and other unidentified pathways may contribute to the relationship between disturbed sleep and glucose homeostasis.

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Crossref · 10.1016/j.sleep.2016.07.023

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Authors
Kim, T. H., Carroll, J. E., An, S. K., Seeman, T. E., Namkoong, K., & Lee, E.
Affiliations
  • Yonsei University (KR)
  • University of California, Los Angeles (US)
Corresponding author
Lee, Eun
Venue
Sleep Medicine
Publisher
Elsevier BV
Published
2016-11
Volume
27-28
Pages
72-79
ISSN
1389-9457 (ISSN-L)
OpenAlex
W2543767348
Cited by
39
References
43
Citations by year
2026: 2 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 7 · 2020: 4 · 2019: 5 · 2018: 7 · 2017: 2
FWCI
6.64
Type
journal article
Language
en
Open access
Locations
  • Sleep Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
Funders
  • National Research Foundation of Korea (NRF-2014S1A3A2044496)
  • Korean Mental Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (HM15C0995)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
sleep disorders, insulin resistance, inflammatory cytokines, interleukin-6, C-reactive protein, sleep latency, mediation analysis, sex differences, glucose homeostasis, Midlife Development in the United States
MeSH terms
Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Homeostasis, Humans, Inflammation, Insulin Resistance, Male, Middle Aged, Regression Analysis, Sex Characteristics, Sleep, Time Factors, United States, Cohort Studies, Biomarkers, Cytokines, Actigraphy

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