# Within-person compositional analysis of 24-Hour Activity Cycle behaviors and circadian metrics related to cardiovascular disease. > **NIH NIH F31** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2024 · $48,974 ## Abstract PROJECT SUMMARY Despite global improvements in cardiovascular disease (CVD) rates, CVD morbidity and mortality are increasingly common in young adults aged 18 to 39. CVD research often excludes younger individuals, resulting in prevention strategies that are tailored to older populations, as well as algorithms that underestimate young adult CVD risk and clinical guidelines that systematically undertreat young patients. Scientific consensus indicates that CVD risk begins to accumulate in early life, with vulnerabilities and behaviors in early adulthood determining the lifelong trajectory of cardiovascular health. Therefore, prevention strategies that target novel primordial indicators (i.e., early vulnerabilities emerging prior to traditional CVD risk factors) are urgently needed to prevent or delay CVD progression in young adults. The American Heart Association’s Life’s Essential 8 guidelines emphasize sufficient amounts of physical activity (PA; ≥150 min/week moderate-to-vigorous physical activity [MVPA]) and sleep (≥7 h/night) as core CVD prevention strategies. However, the majority of young adults fail to reach these recommended levels. These guidelines also draw from an evidence base that considers PA and sleep behaviors in isolation from their inherent compositional and circadian characteristics which might also affect cardiovascular health. Other weaknesses in the extant literature—including the use of inaccurate self- report measures and primarily cross-sectional examinations of aggregated PA/sleep on end-stage CVD outcomes—provide an incomplete understanding of the relationship between PA/sleep and CVD. Therefore, this training grant will examine the longitudinal, objectively-measured, within-person effects of compositional 24-h behaviors (light PA [LPA], MVPA, sedentary behavior [SB], sleep) and circadian rhythm on two primordial CVD indicators (stress, fatigue) in a cohort of free-living young adults. Data from N=239 participants in the recently- completed TIME Study will be utilized. 24-h behaviors and circadian rhythm were continuously measured with wrist-worn accelerometers (Fossil Sport smartwatches), and stress and fatigue were collected with daily ecological momentary assessment (EMA) prompts, over the course of one calendar year. We will then apply a series of novel combined multilevel model/isotemporal substitution analyses to examine within-person main effects of 24-h behavior compositions and circadian rhythm metrics on daily stress and fatigue, while controlling for between-person effects. The potential moderating effects of relative prior-day sleep deprivation, inactivity, and sedentariness, and current-day circadian rhythm metrics, will also be examined on these relationships. To our knowledge, this is the first largescale intensive longitudinal study to examine the within-person compositional effects of 24-h behaviors and circadian rhythm on early indicators of CVD risk in young adults. Our findings will help inform the de... ## Key facts - **NIH application ID:** 10999178 - **Project number:** 1F31HL176165-01 - **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA - **Principal Investigator:** Rachel Crosley Lyons - **Activity code:** F31 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $48,974 - **Award type:** 1 - **Project period:** 2024-09-05 → 2027-09-04 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10999178 ## Citation > US National Institutes of Health, RePORTER application 10999178, Within-person compositional analysis of 24-Hour Activity Cycle behaviors and circadian metrics related to cardiovascular disease. (1F31HL176165-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10999178. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*