Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?

Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
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DOI:
10.1186/s12889-021-12037-4
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发表时间:
2021-11-02
期刊:
影响因子:
4.5
通讯作者:
Sherar LB
Sherar LB
中科院分区:
医学2区
文献类型:
--
作者:
Gillison FB;Grey EB;Cumming SP;Sherar LB

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本研究的目的是评估调整儿童生物成熟状态的体重分类是否可以提高预测17岁时体重状态和心脏代谢风险的准确性。分析了来自ALSPAC研究的1525名参与者(787名女性)的数据。参与者在11岁时的体重状况使用第一标准实足年龄和性别调整的BMI截止值进行估计,并再次使用成熟度调整的BMI截止值进行估计。11岁时的每个BMI类别与17岁时的心脏代谢风险评分和BMI类别进行回归,控制性别,种族和社会经济地位。在11岁时,22%的男孩和46%的女孩根据实际年龄被归类为超重或肥胖,在调整生物成熟度后被重新归类为较低的BMI类别。与未调整的BMI类别相比,生物调整的BMI类别更好地预测了17岁时的BMI类别(BMI =-21.69); 11岁时BMI类别每增加一次,17岁时肥胖的几率就增加18.28倍。11岁时校正和未校正的BMI状态在预测17岁时心脏代谢风险方面显示出相同的准确性;高心脏代谢风险的比值比为1.85,男孩的风险更高,特别是早熟者。将青少年归类为BMI类别的传统方法可能会过度预测超重和肥胖,特别是在女孩中。通过计算青少年的BMI分类来估计体重状况时,调整生物成熟度与预测17岁时其他心血管风险的标准方法相当。在线版本包含补充材料,可通过10.1186/s12889-021-12037-4获得。
The aim of this study was to assess whether adjusting the weight categorisation of children for their biological maturity status could improve the accuracy of predicting weight status and cardiometabolic risk at age 17. Data from 1525 participants (787 female) from the ALSPAC study were analysed. Participants’ weight status at age 11 was estimated using first standard chronological age and sex adjusted BMI cut-offs, and again using maturity adjusted BMI cut-offs. Each BMI category at age 11 was regressed against cardiometabolic risk score and BMI category at age 17, controlling for sex, ethnicity and socio-economic status. At age 11 years, 22% of boys and 46% of girls who were categorised as overweight or having obesity based on chronological age were re-categorised into a lower BMI category after adjusting for biological maturity. Biologically adjusted BMI categories better predicted BMI category at age 17 compared with non-adjusted BMI categories (∆BIC = − 21.69); the odds of having obesity at age 17 were 18.28 times greater with each increase in BMI category at age 11. Adjusted and non-adjusted BMI status at 11 years showed equivalent accuracy in predicting cardiometabolic risk at age 17; the odds ratio of high cardiometabolic risk was 1.85, with heightened risk in boys, particularly early maturers. The traditional method of categorising adolescents into a BMI category may over-predict overweight and obesity, particularly in girls. Adjusting for biological maturity when estimating weight status through calculating adolescents’ BMI classification was equivalent to standard approaches in predicting other cardiovascular risk at age 17. The online version contains supplementary material available at 10.1186/s12889-021-12037-4.
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