Paul David R, Scruggs Philip W, Goc Karp Grace, Ransdell Lynda B, Robinson Clay, Lester Michael J, Gao Yong, Petranek Laura J, Brown Helen, Shimon Jane M
University of Idaho, P.O. Box 442401, Moscow, ID 83844.
J Sch Health. 2014 Oct;84(10):661-7. doi: 10.1111/josh.12194.
Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state.
A coalition comprised of the Idaho State Department of Education and 4 universities identified a randomized cluster sample of schools. After obtaining school administrator consent, measurement teams traveled to each school to measure height and weight of students. Sex and race/ethnicity data were also collected.
The collaboration between the universities resulted in a sample of 6735 students from 48 schools and 36 communities. Overall, 29.2% of the youth in the sample were classified as overweight or obese, ranging from 24.0% for grade 1 to 33.8% for grade 5. The prevalence of overweight and obesity across schools was highly variable (31.2 ± 7.58%). Hierarchical logistic regression indicated that sex, age, race/ethnicity, socioeconomic status, and region were all significant predictors of overweight and obesity, whereas school was not.
This coalition enabled the state of Idaho to successfully estimate the prevalence of overweight and obesity on a representative sample of children from all regions of the state, and subsequently identify populations at greatest risk.
几个州已实施了由立法支持的儿童肥胖监测项目。爱达荷州的代表希望在没有州立法支持的情况下制定一个儿童肥胖监测模型，随后报告该州超重和肥胖的预测因素。
一个由爱达荷州教育部和4所大学组成的联盟确定了学校的随机整群样本。在获得学校管理人员同意后，测量团队前往每所学校测量学生的身高和体重。还收集了性别和种族/族裔数据。
大学之间的合作产生了一个来自48所学校和36个社区的6735名学生的样本。总体而言，样本中的青少年中有29.2%被归类为超重或肥胖，一年级为24.0%，五年级为33.8%。各学校超重和肥胖的患病率差异很大（31.2±7.58%）。分层逻辑回归表明，性别、年龄、种族/族裔、社会经济地位和地区都是超重和肥胖的重要预测因素，而学校不是。
这个联盟使爱达荷州能够成功估计该州所有地区有代表性的儿童样本中超重和肥胖的患病率，随后确定风险最大的人群。
