Department of Sports Medicine, Disease Prevention and Rehabilitation, Faculty of Social Science, Media and Sport, Johannes Gutenberg-University, Mainz, Germany.
Obesity (Silver Spring). 2012 Oct;20(10):2151-4. doi: 10.1038/oby.2012.172. Epub 2012 Jun 20.
Prevention-interventions would certainly benefit from a precise knowledge of the age range when the most pronounced increases in prevalence of overweight and obesity occur in the general population. Data of 15,662 subjects aged 2-18 years were obtained from a national representative health survey (German Health Interview and Examination Survey for Children and Adolescents (KiGGS)) conducted in Germany. Weight, height, and BMI z-scores were calculated relative to the UK 1990 reference, and prevalence of overweight and obesity was defined according to the IOTF (International Obesity Task Force) age- and sex-specific cut-offs. Univariate ANOVAs for overweight, obesity, weight, height, and BMI z-scores as dependent variables were employed to assess significant differences for these measures across various age levels. Significant analysis was followed by post-hoc comparisons using Bonferroni adjustments. The main effect of age was estimated using a multinomial logistic regression model, and by defining the first derivative of a polynomial spline function. Different eclectic slopes over the entire age range from 2 to 18 years have been observed. Prevalence of overweight substantially increases between the 5th and the 8th year (12.5-21.4%; P ≤ 0.001). Maximum increase of the polynomial fit was detected at 7.2 years. Our findings suggest a relatively narrow age range at the first school year when overweight in German children especially increases. We therefore propose that psychosocial correlates may be related to the general life-time event around the age of entering school.
预防干预措施肯定会受益于对超重和肥胖在普通人群中发生率显著增加的年龄范围的精确了解。从德国进行的一项全国代表性健康调查(德国儿童和青少年健康访谈和体检调查(KiGGS))中获得了 15662 名 2-18 岁儿童和青少年的数据。体重、身高和 BMI z 评分相对于英国 1990 年的参考值进行计算,超重和肥胖的患病率根据 IOTF(国际肥胖工作组)的年龄和性别特定标准进行定义。采用单变量方差分析(ANOVA)作为因变量,评估这些指标在不同年龄水平上的显著差异。显著分析后使用 Bonferroni 调整进行事后比较。使用多项逻辑回归模型和多项式样条函数的一阶导数来估计年龄的主要影响。从 2 岁到 18 岁的整个年龄范围内观察到不同的斜率。超重的患病率在 5 岁到 8 岁之间显著增加(12.5-21.4%;P ≤ 0.001)。多项式拟合的最大增加发生在 7.2 岁。我们的研究结果表明,在德国儿童中,超重尤其在第一个学年开始时就会迅速增加,这一时期的年龄范围相对较窄。因此,我们提出心理社会相关因素可能与进入学校年龄前后的一般生活事件有关。