里贝朗普雷图市巴西妇女群体中与代谢综合征相关的社会人口和生殖风险因素:一项横断面研究。

Ênio Luis Damaso, Heloisa Bettiol, Viviane Cunha Cardoso, Mariane Nunes de Nadai, Elaine Christine Dantas Moisés, Carolina Sales Vieira, Ricardo Carvalho Cavalli
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引用次数: 0

摘要

目的方法:对 1978 年 6 月至 1979 年 5 月在巴西里贝朗普雷图出生的妇女进行队列研究:对 1978 年 6 月至 1979 年 5 月在巴西里贝朗普雷图出生的妇女进行队列研究。通过访谈和临床评估收集社会人口学、临床和产科数据。通过建立单变量和多变量二项逻辑回归模型来确定代谢综合征的风险因素,并计算调整后的相对风险(RR):该队列包括 916 名妇女,其中 286 人(31.2%)患有代谢综合征。代谢综合征与缺乏有偿工作(RR 1.49;95% CI 1.14-1.95)、无伴侣的婚姻状况(RR 1.33;95% CI 1.03-1.72)、受教育程度低(与受教育 12 年以上相比,受教育少于 8 年[RR 1.72;95% CI 1.23-2.41],8 至 12 年[RR 1.37;95% CI 1.06-1.76])和少女怀孕(RR 2.00;95% CI 1.45-2.77)有关。代谢综合征与其他协变量之间没有关联:结论:代谢综合征与缺乏工作、没有伴侣、教育水平低和少女怀孕有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sociodemographic and reproductive risk factors associated with metabolic syndrome in a population of Brazilian women from the city of Ribeirão Preto: a cross-sectional study.

Objective: To identify sociodemographic and reproductive risk factors associated with MetS in women in their fourth decade of life.

Methods: Cohort study conducted on women born from June 1978 to May 1979 in Ribeirão Preto, Brazil. Sociodemographic, clinical, and obstetric data were collected by interview and clinical evaluation. Univariable and multivariable binomial logistic regression models were constructed to identify the risk factors of metabolic syndrome and the adjusted relative risk (RR) was calculated.

Results: The cohort included 916 women, and 286 (31.2%) of them have metabolic syndrome. MetS was associated with lack of paid work (RR 1.49; 95% CI 1.14-1.95), marital status of without a partner (RR 1.33; 95% CI 1.03-1.72), low educational level (less than 8 years of schooling [RR 1.72; 95% CI 1.23-2.41], 8 to 12 years of schooling [RR 1.37; 95% CI 1.06-1.76], when compared with more than 12 years of schooling), and teenage pregnancy (RR 2.00; 95% CI 1.45-2.77). There was no association between MetS, and the other covariates studied.

Conclusion: Metabolic syndrome in a population of women in the fourth decade of life was associated with lack of employment, lack of a partner, low educational level, and teenage pregnancy.

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