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AS624 - Sleep, Metabolomics and Cardiovascular Health in Older Men and Women

AS624 - Sleep, Metabolomics and Cardiovascular Health in Older Men and Women

[This page is intended to provide a study summary, the sections of which are below. Please complete these sections, as applicable. The headings below are suggested headings. You can remove inapplicable sections, or add new ones relevant to your study]

Investigator Names and Contact Information

Katie Stone (


Sleep and circadian rhythms play crucial role in regulating metabolism and immune function, both of which are critical for cardiovascular and cognitive health. Earlier studies have suggested that sleep deficiencies and circadian impairment may be important risk factors for cardiovascular disease and cognitive decline in the older population. Although previous studies have provided important insights into the important role of sleep in cardiometabolic and cognitive health, most relied on self-reported sleep duration and quality, which are not only prone to recall bias, but fail to capture the overall structure of diurnal rhythms. Moreover, there has been limited investigations to examine underlying mechanisms driving health effects of poor sleep and circadian dysfunction in the elderly, although our pilot study using metabolomics identified multiple metabolite markers that were associated with circadian phase. Some of the markers have been previously linked with chronic conditions, supporting a role of metabolic pathways in the relationship between sleep and health. In two unique and complimentary cohorts of older adults, the Osteoporotic Fractures in Men Study and the Women’s Health Initiative, we propose to examine self-report and actigraphy sleep and circadian measurements in relation to CVD and cognitive decline, with special emphasis on identifying metabolomic and inflammatory profiles to elucidate underlying mechanisms for aging men and women.

Specific Aims: 

  1. Describe sex-specific relationships between sleep, rest-activity rhythms, and health outcomes of CVD.
  2.  Examine metabolic and inflammatory markers in relation to sleep and rest-activity rhythms.
  3.  Examine metabolic and inflammatory markers in relation to incident CVD.
  4.  Build predictive models of risk for CVD in aging men and women.