机构地区:[1]首都儿科研究所流行病学研究室,北京100020 [2]北京协和医学院研究生院,北京100730 [3]东城区中小学卫生保健所,北京100009 [4]密云区中小学卫生保健所,北京101500 [5]通州区中小学卫生保健所,北京201100 [6]房山区中小学卫生保健所,北京102400 [7]国家儿童医学中心儿童慢病管理中心,首都医科大学附属北京儿童医院,北京100045
出 处:《中华实用儿科临床杂志》2021年第1期36-41,共6页Chinese Journal of Applied Clinical Pediatrics
基 金:国家自然科学基金(81973110);国家重点研发计划(2016YFC0900600,2016YFC0900602,2016YFC1300101)。
摘 要:目的探讨儿童青少年中基于生物电阻抗法(BIA)测量的体脂肪量对各项血脂异常的预测价值,初步提出适宜的体脂切点。方法于2017年11月至2018年1月,采用分层整群抽样的方法在北京市东城、房山、密云及通州区选取30所学校(包括8所小学,21所中学和1所12年制学校)内6~16岁中小学在校学生作为研究对象。进行问卷调查和体格检测,通过BIA法测量体脂肪量,计算体质量指数(BMI)、体脂肪指数(FMI)和体脂肪率(FMP),并检测血清各项血脂水平。结果14309名儿童的年龄为(11.0±3.3)岁,男童占49.9%。在男女童中分别以FMI和FMP通过偏度-中位数-变异系数法(LMS法)拟合的百分位数值(P60~P95)逐个作为切点,选择对血脂异常预测敏感度、特异度、预测值和曲线下面积(AUC)均相对较好的P75值作为体脂过多切点参考值。男童FMI在P75以上者占人数的28%,控制男童FMI在P75以下,可能防止8%~57%的各项血脂异常;女童FMI在P75以上的约占26%,将FMI控制在此切点值以下,可能防止8%~42%的各项血脂异常。FMP观察到与FMI类似的结果。在男童中基于FMI和FMP的P75切点在预测各血脂异常[低密度脂蛋白胆固醇(HDL-C)除外]的特异度和AUC高于BMI(AUC:52.4%~69.6%比50.2%~67.1%,P<0.05),而在女童中差异均无统计学意义(P>0.05)。此外,当FMI或FMP超过P90时,对各血脂异常的特异度近似达到90%。结论基于FMI和FMP的体脂过多、肥胖诊断切点值能够更加真实地反映儿童体成分状况,对儿童血脂异常的识别具有较高的特异度和综合预测价值,可进一步在今后儿童肥胖和相关慢性疾病防治工作中推广应用。Objective To assess the predictive values of bioelectrical impedance analysis(BIA)-measured body fat indices to abnormal lipid profiles,and to preliminary propose optimal cut-off values of body fat in children and adolescents.Methods Children and adolescents,aged 6-16 years,were selected from 30 schools(8 primary schools,21 middle schools and one 12-year education school)in Dongcheng,Tongzhou,Fangshan and Miyun districts of Beijing by adopting a stratified cluster sampling method from November 2017 to January 2018.Questionnaire survey,body mass index(BMI),body fat mass index(FMI),fat mass percentage(FMP)and four lipid profiles were conducted.Results A total of 14309 participants,aged(11.0±3.3)years,were enrolled in the analysis,with 49.9%boys.In boys and girls,the percentile values(P60-P95)fitted by FMI and FMP with K-median-coefficient of variation(LMS)method were taken as the cutting points,and P75 values were selected as the cut-off points of excessive body fat for their better sensitivity,specificity,predictive value and area under curve(AUC)for identification of abnormal lipid profiles.Boys with FMI above P75 accounted for 28%of the total population,and controlling boys with FMI below P75 could prevent dyslipidemia of 8%-57%.FMI in girl population occupied about 26%of the above,and controlling FMI in girl population below this cut-off point may prevent dyslipidemia from 8%-42%.FMP observed similar results to FMI.Assessed by FMI or FMP with P75 cut-off values,adiposity performed better than BMI for recognizing abnormal lipid profiles in boys(AUC:52.4%-69.6%vs.50.2%-67.1%,P<0.05)rather than in girls(P>0.05).In addition,when FMI or FMP beyond P90,the specificity of each abnormal lipid profiles was around 90%.Conclusions The recommend cut-off points for body fat may be to assess children′s adiposity,and can be applied in preventive activities.
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