CROSS-SECTIONAL AND LONGITUDINAL RELATIONSHIPS BETWEEN REST-ACTIVITY RHYTHMS AND INFLAMMATION IN OLDER MEN

Abstract Chronic increases in pro-inflammatory cytokines in older adults, known as inflammaging, is 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 multi-day actigraphy, and examined their associations with six inflammatory markers (i.e., CRP, IL-6, TNF-α, TNF-α-sRII, IL-1 β, 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 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 three rest-activity characteristics was associated with an approximately two-fold increase in the odds of having elevated inflammation (i.e. having three 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.

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Cross-Sectional and Prospective Associations of Rest-Activity Rhythms with Metabolic Markers and Type 2 Diabetes in Older Men

10.2337/figshare.12816059 ◽

2020 ◽

Author(s):

Qian Xiao ◽

Jingyi Qian ◽

Daniel S Evans ◽

Susan Redline ◽

Nancy E. Lane ◽

...

Keyword(s):

Insulin Resistance ◽

Type 2 Diabetes ◽

Fasting Glucose ◽

Activity Rhythm ◽

Older Men ◽

Cross Sectional ◽

Activity Rhythms ◽

The Cross ◽

Rest Activity

<a>OBJECTIVE Disruption of rest-activity rhythms is cross-sectionally associated with metabolic disorders, including type 2 diabetes (T2D), yet it remains unclear whether it predicts impaired glucose metabolism and homeostasis. The aim of this study is to examine the cross-sectional and prospective associations between rest-activity rhythm characteristics and glycemic measures in a cohort of older men.</a> RESEARCH DESIGN AND METHODS Baseline rest-activity rhythms were derived from actigraphy using extended cosine model analysis. Fasting glucose, insulin and <a>homeostasis model assessment of insulin resistance </a>(HOMA-IR) were measured from fasting blood at baseline and after ~3.5 years. T2D were defined using self-report, medication use and fasting glucose. RESULTS In the cross-sectional analysis (n=2,450), lower 24-hour amplitude:mesor ratio (i.e., mean-activity-adjusted rhythm amplitude) and reduced overall rhythmicity, were associated with higher fasting insulin and HOMA-IR (all p-trend < 0.0001), indicating increased insulin resistance. The odds of baseline T2D were significantly higher among those in the lowest quintile of amplitude (OR Q1 vs Q4 (95% CI), 1.63 (1.14, 2.30)) and late acrophase group (OR late vs normal (95% CI), 1.46 (1.04, 2.04)). In the prospective analysis (n=861), multiple rest-activity characteristics predicted a 2-3 fold increase in T2D risk, including a lower amplitude (OR Q1 vs Q4 (95% CI), 3.81 (1.45, 10.00)) and amplitude:mesor ratio (2.79 (1.10, 7.07), reduced overall rhythmicity (3.49 (1.34, 9.10)), and a late acrophase (2.44 (1.09, 5.47)). CONCLUSIONS Rest-activity rhythm characteristics are associated with impaired glycemic metabolism and homeostasis and higher risk of incident T2D.

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Cross-Sectional and Prospective Associations of Rest-Activity Rhythms with Metabolic Markers and Type 2 Diabetes in Older Men

10.2337/figshare.12816059.v1 ◽

2020 ◽

Author(s):

Qian Xiao ◽

Jingyi Qian ◽

Daniel S Evans ◽

Susan Redline ◽

Nancy E. Lane ◽

...

Keyword(s):

Insulin Resistance ◽

Type 2 Diabetes ◽

Fasting Glucose ◽

Activity Rhythm ◽

Older Men ◽

Cross Sectional ◽

Activity Rhythms ◽

The Cross ◽

Rest Activity

<a>OBJECTIVE Disruption of rest-activity rhythms is cross-sectionally associated with metabolic disorders, including type 2 diabetes (T2D), yet it remains unclear whether it predicts impaired glucose metabolism and homeostasis. The aim of this study is to examine the cross-sectional and prospective associations between rest-activity rhythm characteristics and glycemic measures in a cohort of older men.</a> RESEARCH DESIGN AND METHODS Baseline rest-activity rhythms were derived from actigraphy using extended cosine model analysis. Fasting glucose, insulin and <a>homeostasis model assessment of insulin resistance </a>(HOMA-IR) were measured from fasting blood at baseline and after ~3.5 years. T2D were defined using self-report, medication use and fasting glucose. RESULTS In the cross-sectional analysis (n=2,450), lower 24-hour amplitude:mesor ratio (i.e., mean-activity-adjusted rhythm amplitude) and reduced overall rhythmicity, were associated with higher fasting insulin and HOMA-IR (all p-trend < 0.0001), indicating increased insulin resistance. The odds of baseline T2D were significantly higher among those in the lowest quintile of amplitude (OR Q1 vs Q4 (95% CI), 1.63 (1.14, 2.30)) and late acrophase group (OR late vs normal (95% CI), 1.46 (1.04, 2.04)). In the prospective analysis (n=861), multiple rest-activity characteristics predicted a 2-3 fold increase in T2D risk, including a lower amplitude (OR Q1 vs Q4 (95% CI), 3.81 (1.45, 10.00)) and amplitude:mesor ratio (2.79 (1.10, 7.07), reduced overall rhythmicity (3.49 (1.34, 9.10)), and a late acrophase (2.44 (1.09, 5.47)). CONCLUSIONS Rest-activity rhythm characteristics are associated with impaired glycemic metabolism and homeostasis and higher risk of incident T2D.

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Cross-sectional and longitudinal relationships between rest-activity rhythms and circulating inflammatory markers in older men: the osteoporotic fractures in men sleep study

Sleep Medicine ◽

10.1016/j.sleep.2019.11.1178 ◽

2019 ◽

Vol 64 ◽

pp. S424-S425

Author(s):

Q. Xiao ◽

D. Evans ◽

S. Redline ◽

N. Lane ◽

S. Ancoli-Israel ◽

...

Keyword(s):

Inflammatory Markers ◽

Osteoporotic Fractures ◽

Older Men ◽

Cross Sectional ◽

Sleep Study ◽

Activity Rhythms ◽

Longitudinal Relationships ◽

Circulating Inflammatory Markers ◽

Rest Activity

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0286 Cross-Sectional and Longitudinal Relationships between Rest-Activity Rhythms and Metabolic Biomarkers in Older Men: The Osteoporotic Fractures in Men Sleep Study

SLEEP ◽

10.1093/sleep/zsz067.285 ◽

2019 ◽

Vol 42 (Supplement_1) ◽

pp. A116-A117

Author(s):

Qian Xiao ◽

Daniel S Evans ◽

Susan Redline ◽

Nancy Lane ◽

Sonia Ancoli-Israel ◽

...

Keyword(s):

Osteoporotic Fractures ◽

Older Men ◽

Cross Sectional ◽

Sleep Study ◽

Activity Rhythms ◽

Metabolic Biomarkers ◽

Longitudinal Relationships ◽

Rest Activity

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Rest-Activity Rhythms and Cognitive Decline in Older Men: The Osteoporotic Fractures in Men Sleep Study

Journal of the American Geriatrics Society ◽

10.1111/jgs.15555 ◽

2018 ◽

Vol 66 (11) ◽

pp. 2136-2143 ◽

Cited By ~ 14

Author(s):

Tara S. Rogers-Soeder ◽

Terri Blackwell ◽

Kristine Yaffe ◽

Sonia Ancoli-Israel ◽

Susan Redline ◽

...

Keyword(s):

Cognitive Decline ◽

Osteoporotic Fractures ◽

Older Men ◽

Sleep Study ◽

Activity Rhythms ◽

Rest Activity

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REST/ACTIVITY RHYTHMS AND MORTALITY RATES IN OLDER MEN: MROS SLEEP STUDY

Chronobiology International ◽

10.3109/07420520903419157 ◽

2010 ◽

Vol 27 (2) ◽

pp. 363-377 ◽

Cited By ~ 53

Author(s):

Misti L. Paudel ◽

Brent C. Taylor ◽

Sonia Ancoli-Israel ◽

Terri Blackwell ◽

Katie L. Stone ◽

...

Keyword(s):

Older Men ◽

Mortality Rates ◽

Sleep Study ◽

Activity Rhythms ◽

Rest Activity

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Cross-sectional and Prospective Associations of Rest-Activity Rhythms With Metabolic Markers and Type 2 Diabetes in Older Men

Diabetes Care ◽

10.2337/dc20-0557 ◽

2020 ◽

Vol 43 (11) ◽

pp. 2702-2712

Author(s):

Qian Xiao ◽

Jingyi Qian ◽

Daniel S. Evans ◽

Susan Redline ◽

Nancy E. Lane ◽

...

Keyword(s):

Type 2 Diabetes ◽

Older Men ◽

Cross Sectional ◽

Metabolic Markers ◽

Activity Rhythms ◽

Rest Activity

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The association between rest-activity rhythms and glycemic markers: the US National Health and Nutrition Examination Survey, 2011-2014

SLEEP ◽

10.1093/sleep/zsab291 ◽

2021 ◽

Author(s):

Qian Xiao ◽

Charles E Matthews ◽

Mary Playdon ◽

Cici Bauer

Keyword(s):

National Health ◽

Multinomial Logistic Regression ◽

Oral Glucose ◽

Model Assessment ◽

Nutrition Examination Survey ◽

Activity Rhythms ◽

Health And Nutrition ◽

Lower Amplitude ◽

Glycemic Markers ◽

Rest Activity

Abstract OBJECTIVES Previous studies conducted in mostly homogeneous sociodemographic samples have reported a relationship between weakened and/or disrupted rest-activity patterns and metabolic dysfunction. This study aims to examine rest-activity rhythm characteristics in relation to glycemic markers in a large nationally-representative and diverse sample of American adults. METHODS This study used data from the National Health and Nutrition Examination Survey 2011-2014. Rest-activity characteristics were derived from extended cosine models using 24-hour actigraphy. We used multinomial logistic regression and multiple linear regression models to assess the associations with multiple glycemic markers (i.e., glycated hemoglobin, fasting glucose and insulin, homeostatic model assessment of insulin resistance, and results from the oral glucose tolerance test), and compared the results across different categories of age, gender, race/ethnicity and body-mass index. RESULTS We found that compared to those in the highest quintile of F statistic , a model-fitness measure with higher values indicating a stronger cosine-like pattern of daily activity, participants in the lowest quintile (i.e, those with the weakest rhythmicity) were 2.37 times more likely to be diabetic (OR Q1 vs. Q5 2.37 (95% CI 1.72, 3.26), p-trend <.0001). Similar patterns were observed for other rest-activity characteristics, including lower amplitude (2.44 (1.60, 3.72)), mesor (1.39 (1.01, 1.91)), and amplitude:mesor ratio (2.09 (1.46, 2.99)), and delayed acrophase (1.46 (1.07, 2.00)). Results were consistent for multiple glycemic biomarkers, and across different sociodemographic and BMI groups. CONCLUSIONS Our findings support an association between weakened and/or disrupted rest-activity rhythms and impaired glycemic control among a diverse US population.

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Nonparametric parameters of 24-hour rest-activity rhythms and long-term cognitive decline and incident cognitive impairment in older men

The Journals of Gerontology Series A ◽

10.1093/gerona/glab275 ◽

2021 ◽

Author(s):

Qian Xiao ◽

Joshua N Sampson ◽

Andrea Z LaCroix ◽

Aladdin H Shadyab ◽

Jamie M Zeitzer ◽

...

Keyword(s):

Cognitive Impairment ◽

Mini Mental State Examination ◽

Activity Patterns ◽

Medication Use ◽

Older Men ◽

Activity Rhythms ◽

Early Biomarkers ◽

State Examination ◽

Rest Activity

Abstract Altered 24-hour rest-activity rhythms may be associated with cognitive impairment in older adults, but evidence from prospective studies is limited. Non-parametric methods were used to assess actigraphy-based activity patterns in 2,496 older men. Incident cognitive impairment was assessed four times over 12 years using the Modified Mini Mental State Examination (3MS) and Trails B tests, self-reported medication use, and clinical diagnosis. The highest quartile (vs. the lowest) of intradaily variability and the lowest quartiles (vs. the highest) of interdaily stability and relative amplitude were associated with incident cognitive impairment ((Hazard ratio (95% confidence interval): 1.82 (1.31, 2.53)), 1.36 (0.99, 1.86), and 1.85 (1.33, 2.56), respectively). A larger increase in intradaily variability over 7.5 years was associated with a greater subsequent decline in 3MS scores but not in Trails B performance. In conclusion, less stable and more variable rest-activity rhythms may represent early biomarkers of cognitive impairment in older men.

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