Neck circumference: a useful screening tool of cardiovascular risk in children.
Early identification of cardiovascular risk factors consists an essential target for public health. The current study aims to examine the association between neck circumference and several cardiovascular risk factors and to compare it with well-established anthropometric indices.
Demographic, anthropometric (body weight and height, waist, hip and neck circumference [WC, HC and NC, respectively]), biochemical (total cholesterol, high-density lipoprotein [HDL] cholesterol, low-density lipoprotein [LDL] cholesterol, triglycerides [TG], fasting plasma glucose and serum insulin), clinical (pubertal stage, systolic and diastolic blood pressure [SBP and DBP, respectively]) and lifestyle (dietary intake, physical activity level) data were collected from 324 children (51.5% boys; 48.5% girls) aged 9-13 in Greece. Body mass index z-score (BMI z-score), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), homeostasis model assessment (HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and fasting glucose to insulin ratio (FGIR) were calculated.
All indices (BMI z-score, NC, WC, HC, WHR and WHtR) were correlated with SBP, HDL and insulin-related indices (insulin, HOMA-IR, QUICKI and FGIR) and all indices except WHR with TG. LDL was correlated with BMI z-score, WC, WHR and WHtR, whereas DBP was correlated with BMI z-score, WC, HC and WHtR. In multivariate analysis, HDL, TG, SBP, insulin, HOMA-IR, QUICKI and FGIR were associated with all anthropometric indices; DBP with WC, HC, NC and WHtR; LDL with BMI z-score, WC, HC and WHtR.
NC is associated with most cardiovascular disease risk factors. These associations are comparable with those observed for BMI z-score, WC, HC, WHR and WHtR. NC could be a simple, alternative screening tool of cardiovascular risk in children.
Androutsos O
，Grammatikaki E
，Moschonis G
，Roma-Giannikou E
，Chrousos GP
，Manios Y
，Kanaka-Gantenbein C
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《Pediatric Obesity》
Use of the waist-height ratio to predict metabolic syndrome in obese children and adolescents.
To demonstrate that the waist-height ratio (WHtR) is a simple and effective screening tool that could be used to identify obese children with the metabolic syndrome.
Data from 109 obese boys and girls, aged 10.00-16.50 years, who were recruited as part of the Eat Smart study were analysed. Systolic (SBP) and diastolic (DBP) blood pressure, blood lipids (total cholesterol, triglycerides (TG), high- and low-density lipoproteins), insulin, glucose, height, weight and waist circumference (WC) were collected. These measurements were used to calculate WHtR, body mass index (BMI), Z-scores for BMI, WC, weight and homeostatic model assessment for insulin resistance (HOMA-IR). Correlations between anthropometric measures and blood pressure, lipids, insulin, glucose and HOMA-IR were assessed. Binary logistic regression was used to test which anthropometric measure was a significant predictor of the metabolic syndrome.
Among boys, WHtR was negatively correlated with glucose (P < 0.05); WHtR and BMI Z-score were positively correlated with insulin, HOMA-IR and TG (P < 0.05) and WC Z-score was significantly correlated with age. Among girls, WHtR, BMI Z-score and WC Z-score were positively correlated with insulin and HOMA-IR and negatively correlated with high-density lipoprotein-cholesterol (P < 0.05), whereas BMI Z-score was significantly correlated with SBP and DBP Z-scores. Twenty per cent of subjects were classified as having the metabolic syndrome, with WHtR, BMI Z-score and HOMA-IR being significant predictors.
The WHtR is a significant predictor of the metabolic syndrome in obese youth. The WHtR is the simplest index to calculate and interpret, making it an ideal non-invasive screening tool to use in clinical practice.
Nambiar S
，Truby H
，Davies PS
，Baxter K
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The association of anthropometric indices in adolescence with the occurrence of the metabolic syndrome in early adulthood: Tehran Lipid and Glucose Study (TLGS).
Little is known about the predictive ability of anthropometric indices in adolescence for prediction of early adulthood metabolic syndrome (MetS). There are controversies about the predictive power of body mass index (BMI) vs. waist circumference (WC) for prediction of MetS in late adolescence; some of the studies did not support the need to measure WC in mid-adolescence, in addition to BMI; on the other hand, some other studies proposed either similar predictability or superiority of WC to identify MetS in late adolescence.
This is the first study to evaluate the adolescent anthropometric indices in relation to early adulthood MetS incidence one decade later in the Middle East region. There is an important sex difference regarding the incidence of MetS in Tehranian adolescents. It is interesting to know that all anthropometric indices in the pubertal age group (11-14 years) had better predictive ability compared to late-pubertal (15-18 years) adolescents. In addition, adolescent abdominal obesity surrogates, including WC and waist-to-height ratio, predicted adulthood MetS better than BMI in boys. It seems that WC had an independent role beyond BMI in identification of adulthood MetS in Tehranian boys (11-18 years old).
Little is known about the predictive ability of anthropometric indices in adolescence for prediction of early adulthood metabolic syndrome (MetS).
Our purpose was to explore incidence of MetS and the optimal anthropometric indicator to predict early adulthood MetS in Tehranian adolescents.
Using data from the population-based, prospective, Tehran Lipid and Glucose Study, the utility of four anthropometric indices of adolescents in predicting early adulthood MetS (2009 Joint Scientific Statement definition) was examined among 1100 participants, aged 11-18 years, who were free of MetS at baseline, during a mean of 10.2 years of follow-up.
The cumulative incidence of MetS was 25.5% (95% confidence interval [CI]: 21.8-29.2%) for young men and 1.8% (95% CI: 0.6-3%) for young women. In boys, waist circumference (WC) had the highest odds ratio (OR) for the MetS risk, followed by waist-to-height ratio (WHtR). Adjusting body mass index (BMI) in addition to WC did not change the results in the 11-14-year age group (OR for WC: 2.28 [1.64-3.16] without BMI adjustment vs. 1.98 [1.05-3.73] with BMI adjustment), suggesting that WC may predict MetS risk beyond BMI. None of the anthropometric indices were found to have significant associations with subsequent MetS risk in girls.
Measures of abdominal obesity including WHtR and WC predicted early adulthood MetS better than BMI in Tehranian male adolescents (11-18 years old).
Barzin M
，Asghari G
，Hosseinpanah F
，Mirmiran P
，Azizi F
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《Pediatric Obesity》
Adiposity measurements in association with metabolic syndrome in older men have different clinical implications.
Obesity is a major public health problem, and measuring adiposity accurately and predicting its future comorbidities are important issues. Therefore, we hypothesized that 4 adiposity measurements, body mass index (BMI), waist circumference (WC), waist-to-height ratio, and body fat percentage, have different physiological meanings and distinct associations with adverse health consequences. This study aimed to investigate the relationship of these 4 measurements with metabolic syndrome (MetS) components and identify the most associated factor for MetS occurrence in older, non-medicated men. Cross-sectional data from 3004 men, all 65 years of age and older, were analyzed. The correlation and association between adiposity measurements and MetS components were evaluated by Pearson correlation and multiple linear regression. Based on multivariate logistic regression, BMI and WC were significantly associated with MetS and were selected to build a combined model of receiver operating characteristic curves to increase the diagnosis accuracy for MetS. The results show that BMI is independently associated with systolic and diastolic blood pressure; WC and body fat percentage are associated with fasting plasma glucose and log transformation of triglyceride; BMI and WC are negatively associated with high-density lipoprotein cholesterol (HDL-C); and WC is a better discriminate for MetS than BMI, although the combined model (WC + BMI) is not significantly better than WC alone. Based on these results, we conclude that the 4 adiposity measurements have different clinical implications. Thus, in older men, BMI is an important determinant for blood pressure and HDL-C. Waist circumference is associated with the risk of fasting plasma glucose, HDL-C, triglyceride, and MetS occurrence. The combined model did not increase the diagnosis accuracy.
Hsu CH
，Lin JD
，Hsieh CH
，Lau SC
，Chiang WY
，Chen YL
，Pei D
，Chang JB
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《-》
ResearchGate
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