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Father’s social and economic position has strongest impact on age at menarche in girls from Central India

机译:父亲的社会和经济地位对印度中部女孩初潮的年龄影响最大

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We assessed the impact of socio-economic factors on age at menarche among the adolescent female population from the state of Madhya Pradesh, Central India. Records such as date of birth, chronological age, caste affiliation, size of place of residence, parents’ level of education and occupation, number of siblings, body height and weight, and age at menarche were collected for 330 students of A Central University, Sagar. The impact of socio-economic factors on age at menarche was analysed using analysis of variance. To establish the probability of menarche occurrence at a given age, time-to-event analysis was carried out using Kaplan-Meier curves and the log-rank test for curve comparison. The association between probability of attaining menarche and the independent variables was investigated using Cox proportional-hazard model. ANOVA and the Kaplan-Meier curves showed statistically significant differences in age at menarche according to size of the place of residence, number of siblings, parental level of education, father’s occupation and females’ BMI. The Cox proportional hazard model revealed that father’s occupation was the strongest factor affecting age at menarche among all SES characteristics under study. Irrespective of rapid economic progress over the past few decades, Indian society is still patriarchal with societal male dominance. This translates into participation of fewer women in the paid workforce and labour market, their lower wage rates and smaller contribution to the household budget compared to their male counterparts.
机译:我们评估了印度中部中央邦(Madhya Pradesh)州青少年女性人口中初潮年龄的社会经济因素影响。收集了A中央大学的330名学生的记录,例如出生日期,年龄,年龄,种姓关系,居住地点的大小,父母的教育程度和职业,兄弟姐妹的数量,身高和体重以及初潮年龄,萨加尔。社会经济因素对初潮年龄的影响使用方差分析进行了分析。为了确定在给定年龄初潮发生的可能性,使用Kaplan-Meier曲线和对数秩检验进行曲线比较,以进行事件发生时间分析。采用Cox比例风险模型研究了初潮概率与自变量之间的关系。方差分析和Kaplan-Meier曲线显示,根据居住地点的大小,兄弟姐妹的数量,父母的受教育程度,父亲的职业和女性的BMI,初潮时的年龄在统计学上具有显着差异。 Cox比例风险模型显示,在研究的所有SES特征中,父亲的职业是影响初潮年龄的最强因素。不管过去几十年中经济如何快速发展,印度社会仍然是重男轻女,在社会上占主导地位。这意味着与男性同龄人相比,较少的妇女参与有偿劳动力和劳动力市场,她们的工资率较低,对家庭预算的贡献较小。

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