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

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A116-A117
Author(s):  
Qian Xiao ◽  
Daniel S Evans ◽  
Susan Redline ◽  
Nancy Lane ◽  
Sonia Ancoli-Israel ◽  
...  
2018 ◽  
Vol 66 (11) ◽  
pp. 2136-2143 ◽  
Author(s):  
Tara S. Rogers-Soeder ◽  
Terri Blackwell ◽  
Kristine Yaffe ◽  
Sonia Ancoli-Israel ◽  
Susan Redline ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S403-S403
Author(s):  
Xiao Qian ◽  
Qian Xiao ◽  
Daniel S Evans ◽  
Susan Redline ◽  
Nancy Lane ◽  
...  

Abstract Sleep disturbances and physical inactivity have been associated with chronic inflammation, an important risk factor for cognitive decline in the aging population. However most previous studies focused on the cross-sectional relationships between sleep and physical activity and inflammation. In the Outcomes of Sleep Disorders in Older Men (MrOS Sleep) study, we studied both the cross-sectional and prospective associations between characteristics of 24-hour rest-activity rhythms measured by actigraphy and inflammation index measured by multiple circulating markers. In cross-sectional analysis, a lower amplitude is associated with elevated inflammation (Odds ratio Q4 vs Q1 (95% Confidence interval): 1.65 (1.22, 2.24)). In prospective analysis, an earlier acrophase (<12:30) is associated with a two-fold increase in the risk of developing elevated inflammation over four years of follow up (2.08 (1.02, 4.23)). No individual inflammatory markers are associated with rest-activity rhythms. Our findings suggest that rest-activity rhythm characteristics predicts elevated inflammation.


2010 ◽  
Vol 27 (2) ◽  
pp. 363-377 ◽  
Author(s):  
Misti L. Paudel ◽  
Brent C. Taylor ◽  
Sonia Ancoli-Israel ◽  
Terri Blackwell ◽  
Katie L. Stone ◽  
...  

Author(s):  
Qian Xiao ◽  
Jingyi Qian ◽  
Daniel S Evans ◽  
Susan Redline ◽  
Nancy E Lane ◽  
...  

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.


2020 ◽  
Author(s):  
Qian Xiao ◽  
Jingyi Qian ◽  
Daniel S Evans ◽  
Susan Redline ◽  
Nancy E. Lane ◽  
...  

<a><b>OBJECTIVE </b>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> <p><b>RESEARCH DESIGN AND METHODS</b> 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. </p> <p> <b>RESULTS</b> 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 <i>p-trend < 0.0001</i>), indicating increased insulin resistance. The odds of baseline T2D were significantly higher among those in the lowest quintile of amplitude (OR <sub>Q1 vs Q4</sub> (95% CI), 1.63 (1.14, 2.30)) and late acrophase group (OR <sub>late vs normal</sub> (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 <sub>Q1 vs Q4</sub> (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)).</p> <p><b>CONCLUSIONS</b> Rest-activity rhythm characteristics are associated with impaired glycemic metabolism and homeostasis and higher risk of incident T2D.<br> </p>


2020 ◽  
Author(s):  
Qian Xiao ◽  
Jingyi Qian ◽  
Daniel S Evans ◽  
Susan Redline ◽  
Nancy E. Lane ◽  
...  

<a><b>OBJECTIVE </b>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> <p><b>RESEARCH DESIGN AND METHODS</b> 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. </p> <p> <b>RESULTS</b> 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 <i>p-trend < 0.0001</i>), indicating increased insulin resistance. The odds of baseline T2D were significantly higher among those in the lowest quintile of amplitude (OR <sub>Q1 vs Q4</sub> (95% CI), 1.63 (1.14, 2.30)) and late acrophase group (OR <sub>late vs normal</sub> (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 <sub>Q1 vs Q4</sub> (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)).</p> <p><b>CONCLUSIONS</b> Rest-activity rhythm characteristics are associated with impaired glycemic metabolism and homeostasis and higher risk of incident T2D.<br> </p>


Diabetes Care ◽  
2020 ◽  
Vol 43 (11) ◽  
pp. 2702-2712
Author(s):  
Qian Xiao ◽  
Jingyi Qian ◽  
Daniel S. Evans ◽  
Susan Redline ◽  
Nancy E. Lane ◽  
...  

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A150-A151
Author(s):  
S Hartmann ◽  
M Baumert

Abstract Introduction With steadily growing numbers of patients with a depressive disorder, the effect of antidepressants on sleep architecture is of increasing concern. One major oral antidepressant medication is trazadone, which has also been prescribed in low doses for sleep insomnia treatment. Here, we investigate the effect of trazadone on NREM sleep instability also known as cyclic alternating pattern (CAP) in community-dwelling older men. Methods CAP was scored in overnight EEG recordings from 41 older men on trazadone (TRZ) and 50 age-matched men who did not use trazadone (NTRZ), participating in the Osteoporotic Fractures in Men Sleep Study. A high performance automated detection system determined the ratio between CAP time and NREM sleep time (CAP rate), the number of A1-phases per hour of NREM sleep (A1 index), and the number of A2+A3-phases per hour of NREM sleep (A2+A3 index). The effect of TRZ on CAP parameters was determined using the Mann-Whitney U test. Results CAP rate was significantly decreased in men using trazadone (NTRZ: 58.2±19.7%, TRZ: 47.9±15.9%) as compared to non-trazadone user (p &lt; 0.01). Subtype indices did not show any significant difference between both groups but to some extent less frequent A2-A3 phases for TRZ user (A1-phases: NTRZ 13.0±18.7 no./h vs. TRZ 10.8±20.4 no./h, p = 0.35; A2+A3-phases: NTRZ 51.5±33.7 no./h vs. TRZ 44.7±23.3 no./h, p = 0.068). Conclusion CAP rate was significantly decreased in older men on trazadone as compared to older men who did not use trazadone, suggesting that trazadone usage has a stabilising effect on sleep micro-structure. Support The National Heart, Lung, and Blood Institute (NHLBI) provides funding for the MrOS Sleep ancillary study “Outcomes of Sleep Disorders in Older Men” under the following grant numbers: R01 HL071194, R01 HL070848, R01 HL070847, R01 HL070842, R01 HL070841, R01 HL070837, R01 HL070838, and R01 HL070839.


Author(s):  
Qian Xiao ◽  
Joshua N Sampson ◽  
Andrea Z LaCroix ◽  
Aladdin H Shadyab ◽  
Jamie M Zeitzer ◽  
...  

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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