Publications by authors named "S L Rifas-Shiman"

Long-term exposure to ambient air pollution has been associated with epigenetic age acceleration (EAA) in adults, but its impact on children remains less understood. This study analyzed data from 457 children (mean age: 7.9 years) in the Project Viva cohort (2007-2010, eastern Massachusetts, USA).

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Background: Per- and polyfluoroalkyl substances (PFAS) may impact ovarian folliculogenesis and steroidogenesis, but whether prenatal exposure may impact offspring reproductive health is unknown. This study examines the extent to which maternal PFAS plasma concentrations during pregnancy are associated with polycystic ovary syndrome (PCOS) and related characteristics in female offspring.

Methods: We studied 322 mother-daughter pairs in Project Viva, a Boston-area longitudinal pre-birth cohort enrolled 1999-2002.

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Objective: Reproductive history may help identify women at higher risk for experiencing menopausal symptoms. We hypothesized that gestation length and offspring birthweight for gestational age z-scores would be associated with menopausal symptoms and age at natural menopause in midlife among women in a longitudinal prebirth cohort.

Methods: Among 691 women enrolled in pregnancy and followed to midlife, we examined associations of gestation length and offspring birthweight for gestational age z-score at the index pregnancy with total menopausal symptoms assessed with the 11-item Menopause Rating Scale (MRS) using linear regression models, with individual menopausal symptoms using binomial regression models with a log link function, and with age at natural menopause using Cox proportional hazards models.

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Importance: The American Heart Association put forth the Life's Essential 8 construct to assess cardiovascular health (CVH) based on 8 behavioral and health factors. Few studies have characterized the natural history of CVH in early life or identified its sociodemographic determinants.

Objective: To characterize CVH trajectories across childhood and adolescence and identify associations with sociodemographic variables.

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