Depression and anxiety may significantly affect women during the menopausal transition. In addition to traditional treatment strategies such as hormone therapy, antidepressants, and psychotherapy, nutritional interventions have been increasingly studied, but there is no consensus about their role in this patient population.
This systematic review and meta-analysis aimed to evaluate the effect of nutritional interventions on the severity of depressive (DS) and anxiety (AS) symptoms in women during the menopausal transition or menopausal years.
Electronic search using databases PubMed, Cochrane, and Embase to identify articles indexed until January 31, 2021, focusing on randomized placebo-controlled trials documenting the effect of diet, food supplements, and nutraceuticals on DS and AS.
Thirty-two studies were included (DS, n = 15; AS, n = 1; DS and AS combined, n = 16). We found two studies that demonstrated data combined with other interventions: one with lifestyle interventions (vitamin D plus lifestyle-based weight-loss program) and another with exercise (omega 3 plus exercise). The pooled effect size favored the intervention group over placebo for both DS and AS (DS: standardized mean difference, −0.35 [95% confidence interval, −0.68 to −0.03; P = 0.0351]; AS: standardized mean difference, −0.74 [95% CI, −1.37 to −0.11; P = 0.0229]). There was significant heterogeneity in the pooled results, which can be attributed to differences in assessment tools for depression and anxiety as well as the variety of nutritional interventions studied. The subgroup analysis showed a statistically significant effect of menopausal status (perimenopausal or menopausal) but not the type or duration of nutritional intervention. Older age was the only significant predictor of the effect size of nutritional interventions in the meta-regression.
Conclusions and Relevance
Nutritional interventions are promising tools for the management of mood/anxiety symptoms in women during the menopausal transition and in postmenopausal years. Because of significant heterogeneity and risk of bias among studies, the actual effect of different approaches is still unclear.