Accuracy and capability of tri-ponderal mass index in assessing cardio-metabolic risk factors in Chinese children and adolescents aged 3 to 17 years,compared with body mass index

Background:Tri-ponderal mass index(TMI)has been reported to be a more accurate estimate of body fat than body mass index(BMI).This study aims to compare the effectiveness of TMI and BMI in identifying hypertension,dyslipidemia,impaired fasting glucose(IFG),abdominal obesity,and clustered cardio-metabolic risk factors(CMRFs)in 3-to 17-year-old children.Methods:A total of 1587 children aged 3 to 17 years were included.Logistic regression was used to evaluate correlations between BMI and TMI.Area under the curves(AUCs)were used to compare discriminative capability among indicators.BMI was converted to BMI-z scores,and accuracy was compared by false-positive rate,false-negative rate,and total misclassification rate.Results:Among children aged 3 to 17 years,the mean TMI was 13.57±2.50 kg/m 3 for boys and 13.3±2.33 kg/m 3 for girls.Odds ratios(ORs)of TMI for hypertension,dyslipidemia,abdominal obesity,and clustered CMRFs ranged from 1.13 to 3.15,higher than BMI,whose ORs ranged from 1.08 to 2.98.AUCs showed similar ability of TMI(AUC:0.83)and BMI(AUC:0.85)in identifying clustered CMRFs.For abdominal obesity and hypertension,the AUC of TMI was 0.92 and 0.64,respectively,which was significantly better than that of BMI,0.85 and 0.61.AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49.When 85th and 95th of TMI were set as thresholds,total misclassification rates of TMI for clustered CMRFs ranged from 6.5%to 16.4%,which was not significantly different from that of BMI-z scores standardized according to World Health Organization criteria.Conclusions:TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension,abdominal obesity,and clustered CMRFs TMI was more stable than BMI in 3-to 17-year-old children,while it failed to identify dyslipidemia and IFG.It is worth considering the use of TMI for screening CMRFs in children and adolescents.

Nocturnal sentry duty and cardiometabolic characteristics in armed forces personnel

BACKGROUND Sleep deprivation can lead to increased body weight and blood pressure(BP),but the latent effects of partial sleep deprivation related to required night sentry duties within a short-term period on cardiometabolic characteristic changes in military personnel are unclear.AIM To investigate the association between night sentry duty frequency in the past 3 months and cardiometabolic characteristics in armed forces personnel.METHODS A total of 867 armed forces personnel who were aged 18-39 years and did not take any antihypertensive medications in Taiwan in 2020 were included.The frequency of night sentry duty was self-reported via a questionnaire(average number of night sentry shifts per month for the past 3 months).Hemodynamic status was assessed via the resting BP and pulse rate(PR).Cardiometabolic risk factors were defined according to the International Diabetes Federation criteria.Multivariable linear regression analyses of the associations between night sentry duties and PR,BP,and other metabolic syndrome(MetS)marker levels were performed,with adjustments for age,sex,substance use,body mass index and aerobic fitness.Multiple logistic regression analysis was carried out to determine the associations between night sentry duties and the prevalence of each MetS feature.