Abstract: CONTEXT: Premenstrual disorders, including premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), pose significant challenges to women’s well-being. In India, the prevalence estimates of PMS have ranged from 14.3% to 74.4%, whereas reports of PMDD prevalence vary from 3.7% to 65.7%. AIMS: The study aims to determine the prevalence of PMDD and PMS among teenage girls and explore their correlations with demographic characteristics in the Dadri region. SETTINGS AND DESIGNS: This study adopts a cross-sectional design conducted among teenage girls aged 12–18 from various schools in the Dadri region of Greater Noida, Uttar Pradesh, India. SUBJECTS AND METHODS: Participants were selected using cluster sampling and completed a questionnaire assessing premenstrual symptoms based on the Diagnostic and Statistical Manual of Mental Disorders , Fourth Edition criteria for PMDD and PMS. Demographic data and anthropometric measures were collected. STATISTICAL ANALYSIS USED: SPSS was utilized, with descriptive statistics calculated for demographic variables and Pearson correlation employed to explore relationships between variables. RESULTS: The study found a significant prevalence of PMDD, with 14.5% of schoolgirls affected, whereas 54.5% reported experiencing PMS symptoms. Significant associations were observed between age, height, weight, and class. In addition, a strong positive correlation was found between age and various premenstrual symptoms, including hypersomnia, physical symptoms, and social life activities. CONCLUSIONS: The study underscores the importance of addressing PMDD among schoolgirls and highlights the significant correlation between PMDD prevalence and demographic parameters. These findings can inform the development of tailored supportive health programs aimed at managing premenstrual symptoms in teenage girls.
Thakur et al. (Tue,) studied this question.
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