Association between Age at Menarche and Metabolic Syndrome in Southwest Iran: A Population-Based Case-Control Study

ObjectivesThe association between age at menarche and higher-risk cardiometabolic factors is controversial and more strands of evidence are required. Therefore, in this study, we aimed to investigate the effect of early menarche on cardiometabolic profile in a large-scale cohort population.Study designData collected in the enrollment phase of the Tabari cohort study were utilized for the present study. We analyzed data from 6,103 women aged 35–70 years. Logistic regression and dose–response (trend) analyses were used to investigate the effect of early menarche on prevalence of diabetes, dyslipidemia, obesity, high waist circumference (WC), high waist-to-hip ratio (WHR), and high waist-to-height ratio (WHtR).ResultsThe results of the adjusted logistic regression analysis showed that women who experienced early menarche had significantly higher odds of obesity (odds ratio: 1.64, 95% CI: 1.36–1.99, P for trend <0.001), high WC (odds ratio: 1.34, 95% CI: 1.07–1.67, P for trend = 0.035), high WHR (odds ratio: 1.32, 95% CI: 1.05–1.66, P for trend = 0.057), and high WHtR (odds ratio: 1.83, 95% CI: 1.22–2.74, P for trend = 0.006) compared to those aged ≥14 at menarche. The prevalence of dyslipidemia was also higher among women who experienced early menarche than in women aged ≥14 at menarche (79.9% vs. 76.6%), but the difference was not statistically significant (P = 0.098). Additionally, each year of earlier menarche was significantly associated with an increase in the chance of diabetes (by 5%), obesity (10%), high WC (5%), and high WHtR (13%).ConclusionThe present study showed that early menarche is a strong predictor for later development of obesity and diabetes, and for high WC, WHR, and WHtR. Among all factors examined, age at menarche had the greatest predictive power for WHtR. As an age-dependent anthropometric index for central obesity, WHtR is more suitable as an index for identification of individuals with increased cardiometabolic risk.

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Effect of Dietary Habits and Physical Activities on Abnormal Menstrual Cycle Pattern Amongst School-going Adolescent Girls Residing in the Foothills of the Himalayas: An Age-matched Case–Control Study

Nishu,

Yogesh,

Mohan

et al. 2024

Journal of Medical Evidence

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Background: The menstrual cycle pattern in women is related to high variability in cycle length of 21–35 days, flow lasts 4–7 days with an average loss of 15–80 ml of blood. The abnormal menstrual pattern is influenced by several factors, including dietary habits, physical exercises, family history of obesity and anthropometric parameters. Objectives: This research was carried out to establish numerous risk elements that depict abnormal menstrual cycle patterns amongst school-going adolescent girls in urban areas of Rishikesh, India. Methods: An age-matched case–control research was implemented in schools in the urban areas of Rishikesh between May and December 2019. A simple random sampling technique was carried out to choose urban wards and schools, and data were assembled in two steps. Adolescent girls (10–19 years) studying in the government and private schools (both Hindi and English medium) of urban Rishikesh areas were included and screened for abnormal menstrual patterns. Equal numbers of age-matched controls were also selected. Data were assembled using a self-scrutinised pre-designed pre-tested semi-structured questionnaire. The independent t-test, Mann–Whitney test, McNemar test, Chi-square test and Fisher’s exact tests were applied for data analysis using the SPSS software version 23.0. Results: A total of 200 school-going adolescent girls (100 cases and 100 age-matched controls) were included in this study. The strength of getting symptoms of menstruation was high amongst cases, and it was found that adolescent girls with high menstrual symptoms had more chances of developing menstrual abnormalities (odds ratio = 6.6; confidence interval = 2.9–17.2). Menstrual abnormality was found significantly associated (P < 0.05) with reduced physical activity, unhealthy dietary patterns and family history of obesity amongst school-going adolescent girls. Conclusions: Unhealthy lifestyles, improper diet, reduced physical activity and family history of obesity were strongly associated with the abnormal menstrual cycle pattern.

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Association between Age at Menarche and Metabolic Syndrome in Southwest Iran: A Population-Based Case-Control Study

Cited by 3 publications

References 38 publications

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Enhancement of Precision in Facial Age Identification using Ensemble Support Vector Machine Algorithm in Comparison with Lasso Regression Algorithm

The association between early menarche and higher-risk cardiometabolic profile: a dose–response analysis of the Tabari cohort at enrollment phase

Effect of Dietary Habits and Physical Activities on Abnormal Menstrual Cycle Pattern Amongst School-going Adolescent Girls Residing in the Foothills of the Himalayas: An Age-matched Case–Control Study

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