Basaldúa Nancy, Chiquete Erwin
Hospital Civil de Guadalajara Fray Antonio Alcalde, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México.
Ann Nutr Metab. 2008;52(3):227-32. doi: 10.1159/000140514. Epub 2008 Jun 19.
To identify risk factors other than energy intake or expenditure that can predict adiposity and overweight in children from a region with high prevalence of obesity.
We studied 551 children aged 6-12 years (50.5% girls) from a city in the North of Mexico. Tetrapolar bioimpedance was used to assess body fat content. Overweight was estimated by analysis of age- and gender-standardized body mass index (BMI) relative to reference data of the International Obesity Task Force (BMIs that predict obesity in adulthood). Multivariate analyses were modeled to find independent predictors of adiposity.
The frequency of overweight/obesity was 37.6%. There were no differences between genders with respect to weight, height and BMI; however, age-standardized percentage of body fat and a sedentary lifestyle were higher in girls than in boys (p < 0.001). Independent predictors of overweight/obesity were having first-degree relatives with obesity [adjusted odds ratio (OR) 2.26, 95% confidence interval (CI) 1.40-3.64], sedentary lifestyle (OR 1.58, 95% CI 1.05-2.37) and being the third child or younger in offspring (OR 1.59, 95% CI 1.02-2.47). Predictors of body fat in the highest quartile of the sample were having first-degree relatives with obesity (OR 2.59, 95% CI 1.41-4.74), female gender (OR 5.60, 95% CI 3.22-9.77) and being the third child or younger in offspring (OR 2.07, 95% CI 1.22-3.51). These effects could not be explained by social class, ethnicity, maternal age and duration of breastfeeding.
Risk factors easily identified by history-taking can predict childhood adiposity and the high risk of obesity in adulthood. Having a first-degree relative with obesity underscores the impact of genes and the family lifestyle on excessive adiposity. Being the third child or younger may denote different nurture practices in offspring; however, this factor deserves more exploration.
确定能量摄入或消耗以外的风险因素,这些因素可预测肥胖患病率较高地区儿童的肥胖和超重情况。
我们对来自墨西哥北部一个城市的551名6至12岁儿童(50.5%为女孩)进行了研究。采用四极生物电阻抗法评估身体脂肪含量。通过分析相对于国际肥胖特别工作组参考数据(预测成年期肥胖的BMI)的年龄和性别标准化体重指数(BMI)来估计超重情况。进行多变量分析以找出肥胖的独立预测因素。
超重/肥胖的发生率为37.6%。在体重、身高和BMI方面,性别之间没有差异;然而,女孩的年龄标准化身体脂肪百分比和久坐不动的生活方式高于男孩(p < 0.001)。超重/肥胖的独立预测因素包括有肥胖的一级亲属[调整后的优势比(OR)2.26,95%置信区间(CI)1.40 - 3.64]、久坐不动的生活方式(OR 1.58,95% CI 1.05 - 2.37)以及是家庭中第三个孩子或更小的孩子(OR 1.59,95% CI 1.02 - 2.47)。样本中处于最高四分位数的身体脂肪预测因素包括有肥胖的一级亲属(OR 2.59,95% CI 1.41 - 4.74)、女性性别(OR 5.60,95% CI 3.22 - 9.77)以及是家庭中第三个孩子或更小的孩子(OR 2.07,95% CI 1.22 - 3.51)。这些影响无法用社会阶层、种族、母亲年龄和母乳喂养时长来解释。
通过病史采集容易识别的风险因素可预测儿童肥胖及成年期肥胖的高风险。有肥胖的一级亲属凸显了基因和家庭生活方式对过度肥胖的影响。是家庭中第三个孩子或更小的孩子可能意味着对子女不同的养育方式;然而,这一因素值得进一步探究。