ABSTRACT
Background: This study aimed to investigate the association between prenatal/infancy factors and lipid profile in children and adolescents. Methods: This multicentric national study was conducted in 30 provinces in Iran. It comprised 4200 participants, aged 7-18 years, from the fifth survey of a national surveillance program. History regarding birth weight, as well as the type of consumed milk and food during infancy was obtained from parents. In addition to physical examinations, fasting blood samples were obtained to assess the lipid profile of these students. Results: Data from 3844 participants were available (91.5% participation rate), 52.4 % of students were boys. Mean (SD) age of participants was 12.3(3.2) years. Consuming cow milk in the first two years significantly increased the risk of high triglycerides (TG) (odds ratio [OR]:2.77, 95% CI: 1.32-5.85, P: 0.01), elevated low-density lipoprotein (LDL) (P<0.05) and low high-density lipoprotein (HDL) (P <0.05). Students who had consumed commercially made food as complementary feeding were 93% more likely to have high LDL (OR: 1.93, 95% CI=1.19-3.13, P: 0.01) and 90% more likely to have high TG than students who had consumed homemade food (OR: 1.90, 95% CI: 1.15-3.12, P: 0.01). The aforementioned figures were not significantly associated with an elevated total cholesterol (TC) level. Conclusion: Our findings revealed that the history of using human milk and home-made food as complementary feeding was associated with better lipid profile in childhood and early adolescence. Increasing public knowledge in this regard might be useful for encouragement of healthier life prevention of chronic diseases.
ABSTRACT
BACKGROUND: The aim of this study was to examine the ability of Noninvasive methods to early predictions of metabolic syndrome (MetS) among children and adolescents from 2003 to 2016. METHODS: This was a repeated cross-sectional study based on 24,409 Iranian children and adolescents. The variables included anthropometric measures, serum lipid profiles, hypertension, and MetS. The receiver operating characteristic regression and Bayesian multilevel modeling conducted on data to comparison the power of anthropometric measures to early prediction of cardiometabolic risk factors. RESULTS: The tri-ponderal body shape index (TBSI) in females and waist circumference (WC) percentile in males yielded a greater ability to predict lipid profiles and hypertension than the rest of anthropometric factors. The TBSI (ß = 6.24, 95% credible interval [95% Crl] 3.9-8.7) followed by the WC percentile (ß = 4.43, 95% Crl 3.5-5.4) were considered the better predictors of MetS compared with the body mass index (BMI), tri-ponderal mass index (TMI), WC, waist-to-height ratio, and WC to height5 in adolescents. The TBSI with Youden index J (JI) = 0.85 was significantly more accurate than the BMI (JI = 0.73), and TMI (JI = 0.7) for classifying individuals with MetS and in healthy groups. The predictability of early MetS was consistent for both TBSI and WC components throughout the study period. CONCLUSIONS: The TBSI including, both BMI and WC components, predicts MetS and cardiometabolic risk factors more accurately than BMI or WC alone in females. The TBSI ability was higher than other anthropometric factors for screening MetS and cardiometabolic risk factors among adolescents.
