0836 Rest Activity Rhythms and Metabolic Outcomes of Midlife Women Before and After Menopause in the Midlife in the United States Study

Abstract Introduction Menopause is associated with increased metabolic and cardiovascular disease (CVD) risk. Aging influences sleep and rest-activity rhythms (RAR), and menopause is particularly associated with sleep disruptions and reduced physical activity. However, limited research has examined how RAR patterns differ after menopause and how they relate to cardiometabolic outcomes. This study aimed to investigate the relationship between menopause and RAR, and to explore how these RAR influence cardiometabolic risk factors in combination with menopause. Methods A total of 515 women with menopause status data (median age = 52; range = 34–84 years) from the Midlife in the United States 2 (MIDUS 2) study were used. Responses from the question ‘have you had your period in the last year?’ were used to determine menopausal status (i.e., perimenopausal vs. Postmenopausal). We used 7-day actigraphy data to assess RAR parameters (i.e., MESOR, amplitude, acrophase, and R-squared). Fasting glucose, HbA1C, blood pressure, total cholesterol, and LDL cholesterol were assessed to evaluate cardiometabolic risk factors. Multiple regression tested associations between menopause, RAR, and metabolic outcomes, including interaction terms (menopause X RAR). Results After accounting for covariates, menopausal status moderated the relationship between amplitude and systolic blood pressure (β = 0.23, p = 0.008). The interaction between menopausal status and acrophase was significantly associated with glucose (β = -4.053, p= 0.013) and HbA1c levels (β = -0.18623, p= 0.009), but not with other metabolic profiles. Conclusion We found that higher amplitude was associated with lower systolic blood pressure in post menopausal women. An earlier acrophase was significantly associated with higher glucose and HbA1c levels in postmenopausal women than in perimenopausal women. Future studies with comprehensive assessments of menopausal status and activity patterns are needed to elucidate these relationships further. Support (if any) The first author (Goettel) was supported by the University of Iowa Undergraduate Research Fellowship. This work was supported by University of Iowa Csomay Center (PI; Moon). Contents are solely the responsibility of the authors and do not necessarily represent the official views of the University of Iowa.

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0835
Primary Topic
Menopause: Health Impacts and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0836 Rest Activity Rhythms and Metabolic Outcomes of Midlife Women Before and After Menopause in the Midlife in the United States Study

Chooza Moon, Yamnia Cortés, Ava Goettel
SLEEP
Menopause: Health Impacts and Treatments
article

0836 Rest Activity Rhythms and Metabolic Outcomes of Midlife Women Before and After Menopause in the Midlife in the United States Study

Chooza Moon, Yamnia Cortés, Ava Goettel
article en

Abstract

Abstract Introduction Menopause is associated with increased metabolic and cardiovascular disease (CVD) risk. Aging influences sleep and rest-activity rhythms (RAR), and menopause is particularly associated with sleep disruptions and reduced physical activity. However, limited research has examined how RAR patterns differ after menopause and how they relate to cardiometabolic outcomes. This study aimed to investigate the relationship between menopause and RAR, and to explore how these RAR influence cardiometabolic risk factors in combination with menopause. Methods A total of 515 women with menopause status data (median age = 52; range = 34–84 years) from the Midlife in the United States 2 (MIDUS 2) study were used. Responses from the question ‘have you had your period in the last year?’ were used to determine menopausal status (i.e., perimenopausal vs. Postmenopausal). We used 7-day actigraphy data to assess RAR parameters (i.e., MESOR, amplitude, acrophase, and R-squared). Fasting glucose, HbA1C, blood pressure, total cholesterol, and LDL cholesterol were assessed to evaluate cardiometabolic risk factors. Multiple regression tested associations between menopause, RAR, and metabolic outcomes, including interaction terms (menopause X RAR). Results After accounting for covariates, menopausal status moderated the relationship between amplitude and systolic blood pressure (β = 0.23, p = 0.008). The interaction between menopausal status and acrophase was significantly associated with glucose (β = -4.053, p= 0.013) and HbA1c levels (β = -0.18623, p= 0.009), but not with other metabolic profiles. Conclusion We found that higher amplitude was associated with lower systolic blood pressure in post menopausal women. An earlier acrophase was significantly associated with higher glucose and HbA1c levels in postmenopausal women than in perimenopausal women. Future studies with comprehensive assessments of menopausal status and activity patterns are needed to elucidate these relationships further. Support (if any) The first author (Goettel) was supported by the University of Iowa Undergraduate Research Fellowship. This work was supported by University of Iowa Csomay Center (PI; Moon). Contents are solely the responsibility of the authors and do not necessarily represent the official views of the University of Iowa.

SLEEPVol. 49(Supplement_1)
University of Iowa (US)
Gender equality
Openalex Percentile: Top 7%
Menopause: Health Impacts and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.