Abstract:Objective To study the value of body fat mass measured by bioelectrical impedance analysis (BIA) in predicting abnormal blood pressure and abnormal glucose metabolism in children. Methods Stratified cluster sampling was used to select the students aged 6-16 years, and a questionnaire survey and physical examination were performed. The BIA apparatus was used to measure body fat mass. Body mass index (BMI), body fat mass index (FMI), and fat mass percentage (FMP) were calculated. Fasting blood glucose level were measured. Results A total of 14 293 children were enrolled, among whom boys accounted for 49.89%. In boys and girls, the percentile values (P60, P65, P70, P75, P80, P85, P90, P95) of FMI and FMP fitted by the LMS method were taken as the cut-off values. Based on the receiver operating characteristic curve analysis, the P70 values with a better value in predicting abnormal blood pressure and blood glucose metabolism were selected as the cut-off values for excessive body fat. When FMI or FMP was controlled below P70, the incidence of abnormal blood pressure or abnormal glucose metabolism may be decreased in 8.25%-43.24% of the children. Conclusions The evaluation of obesity based on FMI and FMP has a certain value in screening for hypertension and hyperglycemia in children, which can be further verified in the future prevention and treatment of obesity and related chronic diseases in children.
LI Hai-Bo,CHENG Hong,HOU Dong-Qing et al. Value of body fat mass measured by bioelectrical impedance analysis in predicting abnormal blood pressure and abnormal glucose metabolism in children[J]. CJCP, 2020, 22(1): 17-23.
Joshi SM, Katre PA, Kumaran K, et al. Tracking of cardiovascular risk factors from childhood to young adulthood-the Pune Children's Study[J]. Int J Cardiol, 2014, 175(1):176-178.
[2]
Mechanick JI, Hurley DL, Garvey WT. Adiposity-based chronic disease as a new diagnostic term:the American Association of Clinical Endocrinologists and American College of Endocrinology position statement[J]. Endocr Pract, 2017, 23(3):372-378.
[3]
Li H, Huang T, Liu J, et al. Body fat indicators perform better than body mass index in identifying abnormal lipid profiles in boys but not in girls[J]. Pediatr Res, 2019, 85(5):617-624.
[4]
Tebar WR, Ritti-Dias RM, Farah BQ, et al. High blood pressure and its relationship to adiposity in a school-aged population:body mass index vs waist circumference[J]. Hypertens Res, 2018, 41(2):135-140.
Meng L, Zhao D, Pan Y, et al. Validation of Omron HBP-1300 professional blood pressure monitor based on auscultation in children and adults[J]. BMC Cardiovasc Disord, 2016, 16:9.
Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome:a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity[J]. Circulation, 2009, 120(16):1640-1645.
[10]
Cole TJ, Green PJ. Smoothing reference centile curves:the LMS method and penalized likelihood[J]. Stat Med, 1992, 11(10):1305-1319.
Oliosa PR, Zaniqueli D, Alvim RO, et al. Body fat percentage is better than indicators of weight status to identify children and adolescents with unfavorable lipid profile[J]. J Pediatr (Rio J), 2019, 95(1):112-118.
[17]
Liu J, Wang L, Sun J, et al. Bone mineral density reference standards for Chinese children aged 3-18:cross-sectional results of the 2013-2015 China Child and Adolescent Cardiovascular Health (CCACH) Study[J]. BMJ Open, 2017, 7(5):e014542.