巴西亚马逊地区少女初潮年龄与身体组成的关系

Ivanice Fernandes Barcellos Gemelli , Edson dos Santos Farias , Poli Mara Spritzer
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引用次数: 0

摘要

目的分析巴西北部亚马孙地区女孩月经初潮年龄与身体组成各变量的关系。方法将926名年龄在8 ~ 18岁的女学生分为两组,G1组;n = 727;72.5%),未发生月经初潮(G2;n = 199;21.5%),采用分层随机比例抽样技术。采用生物阻抗分析法测量体重、脂肪体重、肌肉体重和身体质量指数。身高用运动计测量。月经初潮年龄采用常规方法测定。对于性成熟的评估,根据Tanner描述的标准进行自我评估。结果初潮的累积分布在11岁时最高,除体重指数Z评分外,11岁和12岁时G1和G2在所有身体成分变量中均存在显著差异。脂肪和肌肉质量与月经初潮的年龄有关。结论本研究结果支持巴西亚马逊地区女孩月经初潮提前的概念及其与身体成分的关系。需要进一步的研究来调查可能干扰生长突增时间的其他可能因素的影响,从而确定与巴西其他地区相比,这些女孩的青春期时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of body composition and age at menarche in girls and adolescents in the Brazilian Legal Amazon

Objective

To analyze the association between age at menarche and variables of body composition in girls from the Northern region of Brazil, the Brazilian Legal Amazon.

Method

The sample was composed of 926 school girls, aged between 8 and 18 years, divided into two groups, those who had (G1; n = 727; 72.5%) and had not undergone menarche (G2; n = 199; 21.5%), from public and private schools, using the stratified random proportional sampling technique. Weight, fat weight, muscle weight, and body mass index were measured using bioimpedance analysis. Body height was measured using a stadiometer. Age at menarche was obtained using the conventional method. For the evaluation of sexual maturation, self‐assessment was performed according to criteria described by Tanner.

Results

The highest cumulative distribution of menarche was found at age 11, and presented significant differences between G1 and G2 at ages 11 and 12 years in all variables of body composition, except body mass index Z‐score. Fat and muscle mass were associated with age at menarche.

Conclusion

The present results support the notion of menarche anticipation in girls from Brazilian Amazon and its association with body composition. Further studies are needed to investigate the influence of other possible factors that may interfere with the time of growth spurt, thus determining the timing of puberty in these girls in comparison to other regions of Brazil.

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