Department of Psychology and Center for Health Promotion and Prevention Research, University of North Dakota, Grand Forks, North Dakota.
J Rural Health. 2013 Fall;29(4):349-59. doi: 10.1111/jrh.12010. Epub 2013 Feb 21.
Preventing obesity in childhood is an increasingly important public health goal. Prevention efforts can be improved by better understanding relationships between health behaviors and overweight and obesity. This study examined such relationships in young American Indian and white children living in the rural United States.
Self-report measures of diet, screen time (passive and active), and physical activity were combined with cardiovascular fitness in cross-sectional analyses to predict weight categories based on body mass index percentiles in 306 American Indian and white children (aged 8-9 years) from a rural area in the upper Midwestern United States.
Multinomial logistic regression models were statistically significant for girls (χ2 [20] = 42.73, P < .01), boys (χ2 [20] = 50.44, P < .001), American Indian (χ2 [20] = 36.67, P < .05), and white children (χ2 [20] = 55.99, P < .001). Obesity was associated with poorer cardiovascular fitness in girls (OR = 0.82), boys (OR = 0.83), American Indian (OR = 0.79), and white children (OR = 0.85), and with passive screen time in girls (OR = 1.69), boys (OR = 2.1), and white children (OR = 1.81). Overweight was associated with passive screen time (OR = 2.24) and inversely with active screen time (OR = 0.54), but only in boys.
Logistic regression models were more successful at predicting obesity than overweight in all groups of participants. Poorer cardiovascular fitness showed the strongest and most consistent association with obesity, but passive screen time was also a significant and important contributor to the prediction of obesity in most prediction models. Prediction models were similar in girls, boys, American Indian, and white children.
预防儿童肥胖是一个日益重要的公共卫生目标。通过更好地了解健康行为与超重和肥胖之间的关系，可以改善预防工作。本研究在美国农村地区，对年轻的美洲印第安人和白人儿童进行了研究，以检验这些关系。
在横断面分析中，将饮食、屏幕时间（被动和主动）和身体活动的自我报告测量值与心血管健康状况相结合，根据身体质量指数百分位值，预测体重类别，研究对象为美国中西部农村地区的 306 名美洲印第安人和白人儿童（年龄 8-9 岁）。
女孩（χ2 [20] = 42.73，P <.01）、男孩（χ2 [20] = 50.44，P <.001）、美洲印第安人（χ2 [20] = 36.67，P <.05）和白人儿童（χ2 [20] = 55.99，P <.001）的多项逻辑回归模型具有统计学意义。肥胖与女孩（OR = 0.82）、男孩（OR = 0.83）、美洲印第安人（OR = 0.79）和白人儿童（OR = 0.85）的心血管健康状况较差有关，与女孩（OR = 1.69）、男孩（OR = 2.1）和白人儿童（OR = 1.81）的被动屏幕时间有关。超重与被动屏幕时间有关（OR = 2.24），与主动屏幕时间呈负相关（OR = 0.54），但仅在男孩中如此。
逻辑回归模型在所有参与者组中预测肥胖的成功率均高于超重。心血管健康状况较差与肥胖的关联最强且最一致，但在大多数预测模型中，被动屏幕时间也是肥胖预测的一个重要因素。在女孩、男孩、美洲印第安人和白人儿童中，预测模型相似。
