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Prevalence and Prediction of Overweight and Obesity Among Elementary School Students

机译:小学生超重和肥胖的发生率和预测

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BACKGROUND: The high rates of childhood overweight and obesity in the United States have generated interest in schools as sites for monitoring body mass index (BMI) information. This study established baseline values for a 5-year longitudinal assessment of BMI of elementary school children and examined variation across the schools, because little is known about factors that affect the distribution of overweight and obesity within school districts. METHODS: Height and weight measurements were collected on 2317 elementary school children in 1 school district. BMI was calculated using the Centers for Disease Control and Prevention's NutStat program. Child characteristics included gender, age, eligibility for free and reduced lunch (proxy for socioeconomic status [SES]), school, grade, and ethnicity/race. Children were grouped into 2 BMI categories, <85th percentile or ≥85th percentile (overweight/obesity). Logistic regression was used to examine potential predictors of overweight/obesity. RESULTS: Prevalence of ≥85th percentile was 30.9%, 34.4%, 35.3%, 36.4%, 37.1%, and 44.5% for K-5, respectively. Prevalence of ≥85th percentile was highest among Hispanic children. Ethnicity was the strongest predictor of inclusion in the ≥85th percentile category followed by grade and free and reduced lunch eligibility. CONCLUSION: The data are consistent with the prevalence of overweight/obesity among American children and Hispanic children in particular. District prevalence of overweight/obesity is higher than available state statistics. Most of the BMI variation is accounted for by ethnicity, SES, and grade. The grade effect and high prevalence of overweight/obesity provide a rationale for BMI screening retention at the schools.
机译:背景:在美国,儿童超重和肥胖症的高发生率引起了人们对学校作为监测体重指数(BMI)信息的兴趣。这项研究为小学生的BMI进行了为期5年的纵向评估,为基线确定了基线值,并检查了整个学校的差异,因为对影响学区内超重和肥胖分布的因素知之甚少。方法:对一个学区的2317名小学生进行身高和体重测量。使用疾病控制和预防中心的NutStat程序计算BMI。儿童特征包括性别,年龄,有资格获得免费午餐和减少午餐(代表社会经济地位[SES]),学校,年级和种族/种族。儿童被分为2个BMI类,<85%或≥85%(超重/肥胖)。使用逻辑回归分析检查超重/肥胖的潜在预测因子。结果:K-5患病率≥85%分别为30.9%,34.4%,35.3%,36.4%,37.1%和44.5%。在西班牙裔儿童中,≥85%的患病率最高。种族是≥85%百分数类别中是否被包容的最强预测指标,其次是年级,自由和减少的午餐资格。结论:这些数据与美国儿童尤其是西班牙裔儿童中超重/肥胖的患病率一致。地区超重/肥胖症患病率高于可用的州统计数据。 BMI的大部分变化是由种族,SES和等级引起的。年级效应和超重/肥胖的高患病率为学校保留BMI筛查提供了依据。

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