Issue 8, 2024

Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China

Abstract

Premenstrual disorders (PMDs) are common among young women and have been linked to metabolic dysfunction. Limited evidence exists regarding the associations between dietary patterns and PMDs. This cross-sectional study involved young female adults recruited from the Care of Premenstrual Emotion (COPE) cohort study in China to examine the relationship between dietary patterns and PMDs in young adulthood. PMDs were assessed using the Calendar of Premenstrual Experiences, and the consumption frequency of 12 common food groups was evaluated using a Food Frequency Questionnaire. We used principal component analysis to identify the dietary patterns and employed logistic regression to investigate the association between dietary pattern adherence and PMDs. The study included 1382 participants, of whom 337 (24.4%) reported having PMDs. Three dietary patterns were identified and named based on regional food preferences: the Traditional North China Diet (TNCD), the Traditional South China Diet (TSCD), and the Lacto-ovo Vegetarian Diet (LVD). The TSCD, characterized by high consumption of rice, red meat, and poultry, showed a significant inverse association with PMDs. This pattern held good for both premenstrual syndrome and premenstrual dysphoric disorder. These findings suggest that targeted dietary modifications could serve as a localized strategy for PMDs prevention.

Graphical abstract: Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China

Supplementary files

Article information

Article type
Paper
Submitted
03 Jan 2024
Accepted
25 Feb 2024
First published
05 Mar 2024
This article is Open Access
Creative Commons BY license

Food Funct., 2024,15, 4170-4179

Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China

X. Shi, M. Chen, Q. Pan, J. Zhou, Y. Liu, T. Jiang, Y. Lin, J. Huang, X. Shen, D. Lu and Y. Li, Food Funct., 2024, 15, 4170 DOI: 10.1039/D3FO05782H

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