Rehkopf David H, Laraia Barbara A, Segal Mark, Braithwaite Dejana, Epel Elissa
Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
Int J Pediatr Obes. 2011 Jun;6(2-2):e233-42. doi: 10.3109/17477166.2010.545410. Epub 2011 Jan 18.
To determine the relative importance of familial, dietary, behavioral, psychological and social risk factors for predicting body mass index (BMI) change, and onset of overweight and obesity among adolescent girls.
Data from the NHLBI Growth and Health Study (n = 2 150), a longitudinal cohort of girls, were used to identify the most important predictors of change in BMI percentile between the ages of 9 and 19 years, and second, risk for becoming overweight and obese. Forty-one baseline predictors were assessed using a tree-based regression method (Random forest) to rank the relative importance of risk factors.
The five factors that best predicted change in BMI percentile (p < 0.05) were related to family socio-economic position (income and parent education) and drive to restrict eating and weight (body dissatisfaction, drive for thinness and unhappiness with physical appearance). The factors that were statistically significant (p < 0.05) predictors of both onset of overweight and obesity were income, ineffectiveness and race.
Family socio-economic position and emotion regulation appeared as the top predictors of both BMI change and onset of overweight and obesity. Our results build upon prior findings that policies to prevent the onset of obesity during adolescence be targeted towards girls from lower socio-economic position households. Our findings also suggest several novel psychological factors including ineffectiveness as predictors of obesity during adolescence. These predictive findings offer a direction for future inquiry into adolescent obesity etiology using causal methods.
确定家族、饮食、行为、心理和社会风险因素在预测青少年女孩体重指数(BMI)变化以及超重和肥胖发生方面的相对重要性。
来自美国国立心肺血液研究所生长与健康研究(n = 2150)的数据,这是一个女孩纵向队列,用于确定9至19岁之间BMI百分位数变化的最重要预测因素,其次是超重和肥胖的风险。使用基于树的回归方法(随机森林)评估41个基线预测因素,以对风险因素的相对重要性进行排名。
最能预测BMI百分位数变化(p < 0.05)的五个因素与家庭社会经济地位(收入和父母教育程度)以及限制饮食和体重的动力(身体不满意、追求瘦身和对外表不满意)有关。在统计学上显著(p < 0.05)预测超重和肥胖发生的因素是收入、效能感缺失和种族。
家庭社会经济地位和情绪调节似乎是BMI变化以及超重和肥胖发生的首要预测因素。我们的结果基于先前的研究发现,即预防青少年肥胖发生的政策应针对来自社会经济地位较低家庭的女孩。我们的发现还表明了几个新的心理因素,包括效能感缺失是青春期肥胖的预测因素。这些预测性发现为未来使用因果方法探究青少年肥胖病因提供了一个方向。