Wake M, Hardy P, Canterford L, Sawyer M, Carlin J B
Centre for Community Child Health, Royal Children's Hospital, Parkville, Victoria, Australia.
Int J Obes (Lond). 2007 Jul;31(7):1044-51. doi: 10.1038/sj.ijo.0803503. Epub 2006 Dec 5.
(1) To determine the prevalence of overweight and obesity in Australian 4-5-year-old children. (2) To investigate associations between socio-economic characteristics and (a) overweight/obesity and (b) waist circumference.
Cross-sectional population survey.
Wave 1 (2004) of the Longitudinal Study of Australian Children.
Nationally representative sample of 4983 4-5-year-old children (2537 boys and 2446 girls; mean age 56.9 months (s.d. 2.64 months; range 51-67 months)).
Prevalence of overweight and obesity (International Obesity TaskForce definitions) and waist circumference (cm).
Prevalence estimates were obtained as weighted percentages. Uni- and multivariable ordinal logistic regression (using the proportional odds model) were used to assess associations between potential predictors and the risk of higher child body mass index status and a multivariable linear regression model to assess relationships between the same potential predictors and waist circumference.
15.2% of Australian preschoolers are estimated to be overweight and 5.5% obese. In univariate analyses, seven of the 12 variables were associated with higher odds of being in a heavier body mass index category. In a multivariable regression model, speaking a language other than English (particularly for boys), indigenous status and lower disadvantage quintile were the clearest independent predictors of higher body mass index status, with children in the lowest quintile of social disadvantage having 47% higher odds (95% CI 14, 92%) of being in a heavier body mass index category compared to those in the highest quintile. Waist circumference was not related to any socio-economic variable.
This nationally representative survey confirms high rates of overweight and obesity in preschoolers throughout Australia. The recent emergence of a substantial socio-economic gradient should bring new urgency to public health measures to combat the obesity epidemic.
(1)确定澳大利亚4至5岁儿童超重和肥胖的患病率。(2)调查社会经济特征与(a)超重/肥胖以及(b)腰围之间的关联。
横断面人群调查。
澳大利亚儿童纵向研究的第1波(2004年)。
全国代表性样本,共4983名4至5岁儿童(2537名男孩和2446名女孩;平均年龄56.9个月(标准差2.64个月;范围51 - 67个月))。
超重和肥胖的患病率(国际肥胖特别工作组定义)以及腰围(厘米)。
患病率估计值以加权百分比形式得出。单变量和多变量有序逻辑回归(使用比例优势模型)用于评估潜在预测因素与儿童较高体重指数状态风险之间的关联,多变量线性回归模型用于评估相同潜在预测因素与腰围之间的关系。
据估计,15.2%的澳大利亚学龄前儿童超重,5.5%肥胖。在单变量分析中,12个变量中的7个与较高体重指数类别几率增加相关。在多变量回归模型中,说英语以外的语言(特别是男孩)、原住民身份以及较低的社会劣势五分位数是较高体重指数状态最明显的独立预测因素,与社会劣势最高五分位数的儿童相比,社会劣势最低五分位数的儿童处于较高体重指数类别的几率高47%(95%可信区间14, 92%)。腰围与任何社会经济变量均无关联。
这项全国代表性调查证实,澳大利亚各地学龄前儿童超重和肥胖率很高。近期出现的显著社会经济梯度应使应对肥胖流行的公共卫生措施更具紧迫性。