1039 Sleep Health and Glucose Regulation During Pregnancy: Evidence from African American Women

Abstract Introduction Sleep health, a multidimensional construct, including quality, duration, efficiency, timing, and regularity, may influence glycemic regulation during pregnancy. African American pregnant women (AAPW) experience disproportionate sleep disturbances and metabolic risk, yet these relationships remain under-explored. This study investigates between-person and within-person associations between sleep health and glycemic outcomes in non-diabetic AAPW. Methods Data from 55 non-diabetic AAPW enrolled in the BETTER lifestyle counseling study (NCT05234125) were analyzed. Sleep health was assessed using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, and 7-day Fitbit-derived measures for sleep duration, efficiency, timing (sleep midpoint), and regularity (SD of sleep midpoint). Glycemic outcomes (mean glucose, coefficient of variation [CV], and mean amplitude of glycemic excursions [MAGE]) were measured through 7-day continuous glucose monitoring. Between-person associations were examined using multivariable regression, while within-person night-to-next-day associations were tested using mixed-effects models. All models were adjusted for maternal age, gestational age, BMI, daily steps, and education. Results Poorer sleep quality was significantly associated with greater glycemic variability. Specifically, higher PSQI scores predicted higher CV (β= 0.44, p=0.005), and MAGE (β=1.10, p=0.003). For within-person associations (n=51), higher sleep efficiency predicted higher next-day mean glucose (β=0.22, p=0.029). No other sleep health dimensions were significantly associated with glycemic outcomes in either between-person or within-person models. Conclusion Poor sleep quality may contribute to greater glycemic variability during pregnancy, while daily sleep-glucose associations appear complex. Further research with larger, more variable samples should explore mechanisms and consider sleep health as a modifiable target for improving maternal cardiometabolic outcomes. Support (if any) This study is funded by the NIH/NIMHD R01MD015724

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Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.1038
Primary Topic
Sleep and related disorders
Type
article
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0.00
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article

1039 Sleep Health and Glucose Regulation During Pregnancy: Evidence from African American Women

Ghada Abu Irsheed, A D Steffen, Rashmika Maganuru, Lillian Borbas et al.
SLEEP
Sleep and related disorders
article

1039 Sleep Health and Glucose Regulation During Pregnancy: Evidence from African American Women

Ghada Abu Irsheed, A D Steffen, Rashmika Maganuru, Lillian Borbas, Genesis Alameda, L. Quinn, Bilgay Balserak, Lila Siwakoti, Larisa Burke, Nicole Genao, Nisaa Nazer, Arushi Virmani, William Edward Ackerman
article en

Abstract

Abstract Introduction Sleep health, a multidimensional construct, including quality, duration, efficiency, timing, and regularity, may influence glycemic regulation during pregnancy. African American pregnant women (AAPW) experience disproportionate sleep disturbances and metabolic risk, yet these relationships remain under-explored. This study investigates between-person and within-person associations between sleep health and glycemic outcomes in non-diabetic AAPW. Methods Data from 55 non-diabetic AAPW enrolled in the BETTER lifestyle counseling study (NCT05234125) were analyzed. Sleep health was assessed using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, and 7-day Fitbit-derived measures for sleep duration, efficiency, timing (sleep midpoint), and regularity (SD of sleep midpoint). Glycemic outcomes (mean glucose, coefficient of variation [CV], and mean amplitude of glycemic excursions [MAGE]) were measured through 7-day continuous glucose monitoring. Between-person associations were examined using multivariable regression, while within-person night-to-next-day associations were tested using mixed-effects models. All models were adjusted for maternal age, gestational age, BMI, daily steps, and education. Results Poorer sleep quality was significantly associated with greater glycemic variability. Specifically, higher PSQI scores predicted higher CV (β= 0.44, p=0.005), and MAGE (β=1.10, p=0.003). For within-person associations (n=51), higher sleep efficiency predicted higher next-day mean glucose (β=0.22, p=0.029). No other sleep health dimensions were significantly associated with glycemic outcomes in either between-person or within-person models. Conclusion Poor sleep quality may contribute to greater glycemic variability during pregnancy, while daily sleep-glucose associations appear complex. Further research with larger, more variable samples should explore mechanisms and consider sleep health as a modifiable target for improving maternal cardiometabolic outcomes. Support (if any) This study is funded by the NIH/NIMHD R01MD015724

SLEEPVol. 49(Supplement_1)
University of Illinois Chicago (US)
Openalex Percentile: Top 5%
Sleep and related disorders
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