Nevill Alan M, Reuter Cézane Priscila, Brand Caroline, Gaya Anelise Reis, Mota Jorge, Pollo Renner Jane Dagmar, Duncan Michael J
Faculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall WS1 3EZ, UK.
Graduate Program in Health Promotion, University of Santa Cruz do Sul, 96816-501 Santa Cruz do Sul/RS, Brazil.
Sports (Basel). 2021 Feb 21;9(2):31. doi: 10.3390/sports9020031.
Information regarding urban-rural differences in health indicators are scarce in Brazil. This study sought to identify rural-urban differences in cardiorespiratory fitness (CRF) and cardiometabolic risk (CMR) in Brazilian children and adolescents whilst controlling for the important confounding variables including social economic status (SES). This is a cross-sectional study developed with children and adolescents (n = 2250, age 11.54 ± 2.76) selected from a city in the south of Brazil. CRF was estimated using a 6-minute run/walk test. CMR scores were calculated by summing different cardiometabolic risk indicators. CRF was analysed assuming a multiplicative model with allometric body-size components. CMR differences in residential locations was assessed using Analysis of caovariance (ANCOVA) adopting SES, Body Mass Index (BMI), waist circumference (WC), age and fitness as covariates. Results indicated a main effect of location ( < 0.001) with children living a rural environment having the highest CRF, and children living in the periphery of towns having the lowest. Analysis also revealed significant main effects of location ( < 0.001) with children living a rural environment having the lowest CMR and children living in the centre of towns having the highest. Therefore, Brazilian children living in a rural environment appear to have superior health benefits.
在巴西,关于健康指标城乡差异的信息匮乏。本研究旨在确定巴西儿童和青少年心肺适能(CRF)和心脏代谢风险(CMR)的城乡差异,同时控制包括社会经济地位(SES)在内的重要混杂变量。这是一项对从巴西南部一个城市选取的儿童和青少年(n = 2250,年龄11.54 ± 2.76)开展的横断面研究。使用6分钟跑/走测试来估计CRF。通过对不同心脏代谢风险指标求和来计算CMR分数。采用包含异速生长体型成分的乘法模型分析CRF。采用协方差分析(ANCOVA)评估居住地点的CMR差异,将SES、体重指数(BMI)、腰围(WC)、年龄和适能作为协变量。结果表明地点存在主要影响(< 0.001),生活在农村环境中的儿童CRF最高,生活在城镇周边的儿童CRF最低。分析还揭示地点存在显著的主要影响(< 0.001),生活在农村环境中的儿童CMR最低,生活在城镇中心的儿童CMR最高。因此,生活在农村环境中的巴西儿童似乎享有更好的健康益处。