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STUDY QUESTION Is pubertal timing associated with risk of premenstrual disorders (PMDs) in young adulthood? SUMMARY ANSWER Late pubertal development is associated with decreased premenstrual symptom burden and risk of PMDs in young adulthood. WHAT IS KNOWN ALREADY PMDs, including premenstrual syndrome and premenstrual dysphoric disorder, may begin during the teenage years. Few risk factors in early life have been identified for PMD development. STUDY DESIGN, SIZE, DURATION A prospective cohort study of 6495 female participants during 1996–2013. PARTICIPANTS/MATERIALS, SETTING, METHODS We included participants from the Growing Up Today Study (GUTS). Pubertal development was indicated by the timing of menarche, breast and pubic hair growth. Self-reported age at menarche was longitudinally assessed at enrollment (in 1996/2004 for GUTS I/II) and onwards, and classified as early (age ≤ mean − SD, 11.64 years), normative and late menarche (age ≥ mean + SD, 13.95 years). Timing of pubic hair and breast growth were assessed multiple times during follow-up via Tanner scales, and classified into early, normative and late development according to mean ± SD. Using a validated questionnaire based on the Calendar of Premenstrual Experiences, we assessed premenstrual symptoms and identified probable cases of PMDs in 2013. We examined the associations of timing of pubertal development with premenstrual symptom score and disorders using multivariable linear and logistic regressions, respectively. MAIN RESULTS AND THE ROLE OF CHANCE In 2013 (mean age = 26), 1001 (15.4%) individuals met criteria for a PMD. An inverse association was found between age at menarche and premenstrual symptom z-score (β −0.05 per year, 95% CI −0.07 to −0.03) and risk of PMDs (odds ratio (OR) 0.93 per year, 95% CI 0.88 to 0.99). Compared to individuals with normative menarche, individuals with late menarche had a lower risk of PMDs (OR 0.73, 95% CI 0.59 to 0.91), while individuals with early menarche had comparable odds (OR 0.98, 95% CI 0.81 to 1.18). Moreover, early growth of pubic hair was associated with increased premenstrual symptoms (z-score β 0.09 per year, 95% CI 0.02 to 0.17) and PMD risk (OR 1.28, 95% CI 1.04 to 1.56), independent of age at menarche. No associations were noted for breast development. LIMITATIONS, REASONS FOR CAUTION One major limitation is some misclassification of menarche due to recall. We, however, showed robust association among participants who were premenarcheal at baseline. WIDER IMPLICATIONS OF THE FINDINGS Our findings suggest that pubertal timing, particularly timing of menarche, is inversely associated with the risk of developing premenstrual symptoms in young adulthood, and that women with later menarche have significantly lower risk of PMDs. Information on PMDs should be provided to ...

Key Points Question Are childhood body size and changes throughout adolescence associated with the risk of premenstrual disorders (PMDs) in young adulthood? Findings In a prospective cohort study of 6524 female participants in the US, higher childhood body mass index (BMI) was significantly associated with increased risk of PMDs and greater levels of premenstrual symptoms in young adulthood. Compared with individuals with normal BMI throughout adolescence, those with high BMI throughout adolescence reported significantly greater premenstrual symptoms in adulthood. Meaning These findings suggest that maintaining a normal body mass in childhood may be considered for lowering the burden of PMDs in adulthood.

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The peripartum period is the highest risk interval for the onset or exacerbation of psychiatric illness in women’s lives. Notably, pregnancy and childbirth have been associated with short-term structural and functional changes in the maternal human brain. Yet the long-term effects of pregnancy on maternal brain structure remain unknown. We investigated a large population-based cohort to examine the association between parity and brain structure. In total, 2,835 women (mean age 65.2 years; all free from dementia, stroke, and cortical brain infarcts) from the Rotterdam Study underwent magnetic resonance imaging (1.5 T) between 2005 and 2015. Associations of parity with global and lobar brain tissue volumes, white matter microstructure, and markers of vascular brain disease were examined using regression models. We found that parity was associated with a larger global gray matter volume (β = 0.14, 95% CI = 0.09–0.19), a finding that persisted following adjustment for sociodemographic factors. A non-significant dose-dependent relationship was observed between a higher number of childbirths and larger gray matter volume. The gray matter volume association with parity was globally proportional across lobes. No associations were found regarding white matter volume or integrity, nor with markers of cerebral small vessel disease. The current findings suggest that pregnancy and childbirth are associated with robust long-term changes in brain structure involving a larger global gray matter volume that persists for decades. Future studies are warranted to further investigate the mechanism and physiological relevance of these differences in brain morphology.