农村特征与青少年超重有关

Pub Date : 2022-01-01 DOI:10.1590/1678-9865202235e200179
Ana Eliza Port Lourenço, Thamara Carvalho dos Santos Duarte, T. Pinto, Larissa Escarce Bento Wollz
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引用次数: 0

摘要

【摘要】目的本研究旨在验证巴西东南部巴西里约热内卢市澳门农村地区青少年的农村特征与营养状况之间的关系。方法基于2013年至2014年在澳门市教育厅收集的二次人体测量数据进行横断面研究。该数据库指的是该市农村地区唯一一所高中的青少年总数。采用泊松逻辑回归,以超重(超重或肥胖-年龄体重指数等于或大于一个z分数)为因变量,采用二分类。自变量是性别、社会经济地位和三个表达农村特征的“是或否”变量。结果青少年总数为109人,年龄在14 ~ 18岁之间,平均16.6岁,其中女孩占64.2%,52.3%的家庭拥有菜园或果园,19.4%的家庭以饲养动物为消费目的,17.6%的父母/监护人从事农业工作。男孩和女孩的超重患病率分别为18.0%和20.0%。在双变量分析和性别调整模型中,拥有花园/果园意味着体重超重的几率明显更高(患病率比=2.95;置信区间= 1.17 - -7.44)。结论基于市级的显著关联,结果突出了地方和大规模研究之间的营养差异,以及同一农村地区的差异。这些发现指出,在研究营养状况的潜在决定因素时,需要更详细地评估农村方面。
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Rural characteristics associated with excess weight among adolescents
ABSTRACT Objective This study aimed to verify the association between rural characteristics and the nutritional status of adolescents from the rural area of Macaé, a municipality in Rio de Janeiro, Southeast Brazil. Methods This is a cross-sectional study based on secondary anthropometric data, collected at the Macaé Municipal Department of Education between 2013 and 2014. The database refers to the total number of adolescents in the only high school in the rural area of the city. Poisson logistic regression was performed, having excess weight (overweight or obesity- Body Mass Index-for-age equal to or greater than one Z-score) as the dependent variable, used dichotomously. The independent variables were sex, socioeconomic status and three “yes or no” variables that express rural characteristics. Results The adolescents (total=109) were between 14 and 18 years old (mean=16.6 years), 64.2% were girls, 52.3% had vegetable gardens or orchards in their household, 19.4% had animal breeding for consumption purposes and 17.6% had parents/guardians working in the agricultural sector. The prevalence of excess weight was 18.0% in boys and 20.0% in girls. Having a garden/orchard implied a significantly higher chance of having excess weight, both in the bivariate analysis and in the sex-adjusted model (Prevalence Ratio=2.95; Confidence Interval=1.17-7.44). Conclusions Based on a significant association at the municipal level, the results highlight nutritional differences between local and large-scale studies, as well as variations within the same rural area. These findings point out the need to evaluate rural aspects in more detail in studies on underlying determinants of nutritional status.
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