Risk of high depressive symptoms after the final menstrual period: the Study of Women’s Health Across the Nation (SWAN)

In: Menopause · 2022 · vol. 29(7) , pp. 805–815 · doi:10.1097/gme.0000000000001988 · PMID:35796553 · W4283831311
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Abstract

OBJECTIVE: To examine depressive symptoms during postmenopause and the contribution of depressive symptom trajectories before the final menstrual period (FMP) and psychosocial/health factors to postmenopause depressive symptoms. METHODS: Longitudinal analysis of depressive symptoms (Center for Epidemiologic Studies-Depression scale) collected every 1 to 2 years from 1996 to 2017 from 1,551 midlife women in the Study of Women's Health Across the Nation for a median follow-up of 19.0 years. Latent class growth analysis identified depression trajectories from baseline to FMP. Multivariable random effects (woman as random effect) linear or logistic regression models were conducted. RESULTS: Women had higher odds of reporting high depressive symptom score (≥16) during postmenopause than when they were premenopausal (OR = 1.49, 95% CI, 1.09-2.04), but not when perimenopausal. Three pre-FMP trajectories were identified: Group 1 (47.7%), consistently low scores, Group 2 (39.9%), moderate scores below the high depressive symptom threshold, and Group 3 (12.4%), consistently high scores. Both the moderate (OR = 2.62, 95% CI, 1.89-3.66) and high score (OR = 6.88, 95% CI, 4.72-10.02) groups, compared with the consistently low group, had significantly higher postmenopausal depressive symptom scores. Other pre-FMP variables associated with high postmenopausal depressive symptoms were: higher odds of childhood trauma/maltreatment, poor role physical, high anxiety symptoms, sleep problems, high vasomotor symptoms, and lower odds for chronological aging and lower social support. CONCLUSIONS: Compared with premenopause, postmenopause remains a period of increased risk for higher depressive symptoms, especially for women with pre-FMP depressive symptoms. Pre-FMP depressive symptom trajectories are highly predictive of postmenopause depressive symptoms independent of health and psychosocial factors.

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