Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
The George Institute for Global Health, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; UNSW, Sydney, NSW, Australia.
Lancet Child Adolesc Health. 2019 Nov;3(11):795-802. doi: 10.1016/S2352-4642(19)30204-4. Epub 2019 Aug 23.
Historically, cutoff points for childhood and adolescent overweight and obesity have been based on population-specific percentiles derived from cross-sectional data. To obtain cutoff points that might better predict overweight and obesity in young adulthood, we examined the association between childhood body-mass index (BMI) and young adulthood BMI status in a longitudinal cohort.
In this study, we used data from the International Childhood Cardiovascular Cohort (i3C) Consortium (which included seven childhood cohorts from the USA, Australia, and Finland) to establish childhood overweight and obesity cutoff points that best predict BMI status at the age of 18 years. We included 3779 children who were followed up from 1970 onwards, and had at least one childhood BMI measurement between ages 6 years and 17 years and a BMI measurement specifically at age 18 years. We used logistic regression to assess the association between BMI in childhood and young adulthood obesity. We used the area under the receiver operating characteristic curve (AUROC) to assess the ability of fitted models to discriminate between different BMI status groups in young adulthood. The cutoff points were then compared with those defined by the International Obesity Task Force (IOTF), which used cross-sectional data, and tested for sensitivity and specificity in a separate, independent, longitudinal sample (from the Special Turku Coronary Risk Factor Intervention Project [STRIP] study) with BMI measurements available from both childhood and adulthood.
The cutoff points derived from the longitudinal i3C Consortium data were lower than the IOTF cutoff points. Consequently, a larger proportion of participants in the STRIP study was classified as overweight or obese when using the i3C cutoff points than when using the IOTF cutoff points. Especially for obesity, i3C cutoff points were significantly better at identifying those who would become obese later in life. In the independent sample, the AUROC values for overweight ranged from 0·75 (95% CI 0·70-0·80) to 0·88 (0·84-0·93) for the i3C cutoff points, and the corresponding values for the IOTF cutoff points ranged from 0·69 (0·62-0·75) to 0·87 (0·82-0·92). For obesity, the AUROC values ranged from 0·84 (0·75-0·93) to 0·90 (0·82-0·98) for the i3C cutoff points and 0·57 (0·49-0·66) to 0·76 (0·65-0·88) for IOTF cutoff points.
The childhood BMI cutoff points obtained from the i3C Consortium longitudinal data can better predict risk of overweight and obesity in young adulthood than can standards that are currently used based on cross-sectional data. Such cutoff points should help to more accurately identify children at risk of adult overweight or obesity.
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从历史上看,儿童和青少年超重和肥胖的截止点是基于特定人群的百分比,这些百分比是从横断面数据中得出的。为了获得可能更好地预测年轻人超重和肥胖的截止点,我们在一个纵向队列中检查了儿童期体重指数(BMI)与青年期 BMI 状态之间的关系。
在这项研究中,我们使用了来自国际儿童心血管队列(i3C)联盟的(i3C)数据(包括来自美国、澳大利亚和芬兰的七个儿童队列),以确定能够最好地预测 18 岁时 BMI 状态的儿童超重和肥胖截止点。我们纳入了从 1970 年开始随访的 3779 名儿童,这些儿童在 6 岁至 17 岁之间至少有一次儿童 BMI 测量值,并且在 18 岁时专门有一次 BMI 测量值。我们使用逻辑回归来评估儿童期 BMI 与青年期肥胖之间的关联。我们使用受试者工作特征曲线(ROC)下面积(AUROC)来评估拟合模型在青年期不同 BMI 状态组之间区分的能力。然后,将这些截止点与基于横断面数据的国际肥胖工作组(IOTF)定义的截止点进行比较,并在具有儿童期和成年期 BMI 测量值的独立、纵向 STRIP 研究(来自特殊图尔库冠心病风险因素干预项目)中进行敏感性和特异性测试。
来自 i3C 联盟纵向数据的截止点低于 IOTF 截止点。因此,与使用 IOTF 截止点相比,STRIP 研究中有更大比例的参与者被归类为超重或肥胖。尤其是对于肥胖,i3C 截止点在识别那些后来会肥胖的人方面表现更好。在独立样本中,超重的 AUROC 值范围为 i3C 截止点为 0.75(95%CI 0.70-0.80)至 0.88(0.84-0.93),IOTF 截止点为 0.69(0.62-0.75)至 0.87(0.82-0.92)。对于肥胖,i3C 截止点的 AUROC 值范围为 0.84(0.75-0.93)至 0.90(0.82-0.98),而 IOTF 截止点的 AUROC 值范围为 0.57(0.49-0.66)至 0.76(0.65-0.88)。
与目前基于横断面数据的标准相比,从 i3C 联盟纵向数据中获得的儿童 BMI 截止点可以更好地预测青年期超重和肥胖的风险。这种截止点应该有助于更准确地识别有超重或肥胖风险的儿童。
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