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Objective Preterm birth (PTB) is one of the leading causes of infant and neonatal mortality. Prepregnancy body mass index (BMI; kg/m2) has been linked to PTB but the evidence of this association by weight gain during pregnancy, race, and ethnicity is limited. This study aimed to assess the association between maternal prepregnancy BMI and PTB stratified by weight gain during pregnancy, race, and ethnicity. Study Design The U.S. natality data from 2017 to 2021 were used. In this analysis, we included mothers who had a live singleton birth and available data for prepregnancy BMI, gestational age at birth, weight gain during pregnancy, race, and ethnicity. Logistic regression models were used to assess the association between prepregnancy BMI categories and PTB stratified by weight gain during pregnancy, race, and ethnicity. Results A total of 17,311,509 singleton live births were included of which 1,393,889 (8.05 %) were PTBs. After adjusting for confounders, compared with normal prepregnancy BMI mothers (18.5–24.9), those with underweight BMI (<18.5) were at increased odds of PTB regardless of weight gain during pregnancy, race, and ethnicity. However, for mothers with a prepregnancy BMI above the normal weight (≥25), the association between prepregnancy BMI and PTB differs by weight gain during pregnancy, race, and ethnicity. Asian mothers with obesity II (35.0–39.9) had 93% (odds ratio [OR] = 1.93, 95% confidence interval [CI]: 1.62–2.30) increased odds of PTB for weight gain during pregnancy of 31 to 40 pounds. Their White, Hispanic, and Black counterparts experienced lower odds of PTB for similar weight gain during pregnancy (White: OR = 1.56, 95% CI: 1.51–1.60; Hispanic: OR = 1.48, 95% CI: 1.41, 1.54; and Black: OR = 1.22, 95% CI: 1.17–1.27). Conclusion Mothers with underweight BMI were at increased risk of PTB regardless of weight gain during pregnancy, race, and ethnicity. However, the association between high prepregnancy BMI and PTB varied by weight gain during pregnancy, race, and ethnicity. Key Points
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Objective: To determine the association of sleep duration and disturbances with physical and mental health-related quality of life (HRQoL) in stroke survivors. Design: Cross-sectional analysis of the REasons for Geographic And Racial Differences in Stroke second in-home visit (May 2013-Dec 2016). Setting: Population-based national study in US. Participants: Individuals with adjudicated incident stroke (N=368). Interventions: Not applicable. Main Outcome Measures: Physical and mental HRQoL based on the 12-item Short Form. Sleep measures included sleep duration, difficulty initiating sleep, difficulty maintaining sleep, nonrestorative sleep, and a combined measure based on the latent class model. Logistic regression models were used to investigate the association between sleep variables and HRQoL, adjusting for demographic factors, socioeconomic factors, behavioral factors, and comorbidities. Results: This study included 368 non-Hispanic Black and White stroke survivors. The mean age was 76.0 years (SD=7.9), and 52.7% were men. Stroke survivors with short sleep duration were more likely to have poor physical HRQoL (OR, 2.87; 95% CI, 1.46-5.62) compared with stroke survivors with adequate sleep duration after adjusting for confounding. Similarly, stroke survivors with nonrestorative sleep were 3 times more likely to have poor physical HRQoL (OR, 3.11; 95% CI, 1.28-7.55) compared with stroke survivors with restorative sleep. Conclusions: Non-optimal sleep duration and nonrestorative sleep were associated with higher odds of poor physical HRQoL in stroke survivors. These findings highlight the importance of considering sleep health in post-stroke care. © 2025 American Congress of Rehabilitation Medicine
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Stroke is a leading cause of death and disability worldwide. It is a serious disease caused by a disruption of blood flow in the brain resulting from either blockage of blood flow to the brain (ischemic stroke) or sudden bleeding in the brain (hemorrhagic stroke). Stroke survivors experience more sleep disorders than the general population. Sleep disorders could also increase the risk of stroke even in individuals who have no history of stroke. Obstructive sleep apnea and insomnia are the most common sleep disorders associated with increased risk of stroke. Long sleep duration (≥9 h/day) and circadian rhythm changes have also been linked to an increased risk of stroke. This chapter summarizes the current evidence on the relationship between sleep disorders and stroke. © 2025 Springer Nature Switzerland AG.
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