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Cross-Sectional and Prospective Associations of Rest–Activity Rhythms With Circulating Inflammatory Markers in Older Men
Ist Teil von
The journals of gerontology. Series A, Biological sciences and medical sciences, 2022-01, Vol.77 (1), p.55-65
Ort / Verlag
US: Oxford University Press
Erscheinungsjahr
2022
Quelle
Oxford Journals 2020 Medicine
Beschreibungen/Notizen
Abstract
Chronic increases in pro-inflammatory cytokines in older adults, known as inflammaging, are an important risk factor for morbidity and mortality in the aging population. It has been suggested that circadian disruption may play a role in chronic inflammation, but there has been limited study that investigated the overall profile of 24-hour rest–activity rhythms in relation to inflammation using longitudinal data. In the Outcomes of Sleep Disorders in Older Men Study, we applied the extended cosine model to derive multiple rest–activity rhythm characteristics using multiday actigraphy, and examined their associations with 6 inflammatory markers (ie, C-reactive protein [CRP], interleukin 6 [IL-6], tumor necrosis factor alpha [TNF-α], tumor necrosis factor alpha soluble receptor II [TNF-α-sRII], interleukin-1β [IL-1β], interferon gamma [IFN-γ]) measured from fasting blood. We assessed both the cross-sectional association between rest–activity rhythms and inflammatory markers measured at baseline, and the prospective association between baseline rest–activity rhythms and changes in inflammatory markers over 3.5 years of follow-up. We found that multiple rest–activity characteristics, including lower amplitude and relative amplitude, and decreased overall rhythmicity, were associated with higher levels of CRP, IL-6, TNF-α, and TNF-α-sRII, but not IL-1β and IFN-γ at baseline. Moreover, the lowest quartile of these 3 rest–activity characteristics was associated with an approximately 2-fold increase in the odds of having elevated inflammation (ie, having 3 or more markers in the highest quartile) at baseline. However, we found little evidence supporting a relationship between rest–activity rhythm characteristics and changes in inflammatory markers. Future studies should clarify the dynamic relationship between rest–activity rhythms and inflammation in different populations, and evaluate the effects of improving rest–activity profiles on inflammation and related disease outcomes.