Preschool Weight and Body Mass Index in Relation to Central Obesity and Metabolic Syndrome in Adulthood

Abstract ObjectivesTo determine the prevalence of childhood overweight, obesity and metabolic abnormalities among children aged 12-15 years within the schools in Kandy Municipality area, Sri Lanka. DesignCross- sectional observational study.SettingRandomly selected schools in Kandy municipality areaMethodsThe anthropometric measurements of 1766 school children were taken and those who were overweight or obese were recruited for further evaluation of metabolic abnormalities.ResultsThere were 1053 (59.62%) boys and 713 (40.37%) girls of whom 258 (14.60%) were overweight or obese (7.81% overweight and 6.79% obese). This included 106 girls of whom, 64 were overweight and 42 were obese and 152 boys of whom, 74 and 78 were overweight and obese respectively. Central obesity was seen in 16.93% and 5.01% of them had normal body mass index. Eighty-five children out of the 258 with body mass index > 85th percentile reported for further evaluation and the prevalence of metabolic syndrome among them was 11.67% (5 girls and 5 boys). When borderline and abnormal levels of lipids were taken together, more than 50% of overweight and obese children were found to have dyslipidaemia. Elevated Alanine Amino Transaminase and Aspartate Amino Transaminase levels were reported in 33 (38.82%) and 7 (8.24%) respectively. Evidence of fatty liver was present in 34.69% based on abdominal ultra sound scan findings.ConclusionWhile prevalence rates of overweight, obesity and metabolic syndrome are comparable with other urban settings in the country as well as neighbouring countries in Asia, the study highlights the detection of lipid abnormalities suggestive of familial hyperlipidaemia which warrants further evaluation. NAFLD is also identified as a significant comorbidity. Central obesity is underestimated by British standards.

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ESTIMATION OF WAIST AND HIP CIRCUMFERENCES USING BODY MASS INDEX IN DELHI SCHOOL GIRLS (6–11 YEARS)

Journal of Biosocial Science ◽

10.1017/s0021932014000273 ◽

2014 ◽

Vol 47 (4) ◽

pp. 554-558 ◽

Cited By ~ 2

Author(s):

ASTHA BANSAL ◽

P. C. JOSHI

Keyword(s):

Metabolic Disease ◽

Cardiovascular Disease ◽

Metabolic Syndrome ◽

Body Mass Index ◽

Body Mass ◽

Central Obesity ◽

Indirect Method ◽

Metabolic Disorders ◽

Hip Circumference ◽

School Girls

SummaryCentral obesity has been associated with the risk of cardiovascular and metabolic disease in children. A total of 358 Delhi school girls aged 6–11 years were measured for height, weight, waist circumference and hip circumference. The study demonstrates a linear correlation between body mass index (BMI) and waist and hip circumference and suggests an indirect method of estimating waist and hip circumferences, whose high values may be used for the diagnosis of metabolic syndrome and cardiovascular disease. Further investigations on different groups are needed to substantiate these results and attribute BMI a predictive value in the clinical setting for the risk and diagnosis of childhood obesity-related metabolic disorders.

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Correlations of Anthropometric and Calculation-Modified Anthropometric Measurements with Cardiometabolic Risk Factors in Korean Adults: A National Survey-Based Study

10.21203/rs.3.rs-1137638/v1 ◽

2021 ◽

Author(s):

Kihong Hong

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Central Obesity ◽

Cardiometabolic Risk ◽

Anthropometric Measurements ◽

Cardiometabolic Risk Factors ◽

Male And Female

Abstract Background and Aims: There are studies that show NC measurements are associated with central obesity and upper body fat distribution and are strongly associated with metabolic markers. Recently, studies have been conducted regarding neck circumference (NC) as a novel index to screen for obesity and cardiometabolic risk factors. Here, we investigated various anthropometric measurements and their correlations with cardiometabolic risk factors, pulmonary function test (PFT) results and metabolic syndrome among the adult Korean population. Methods: This study was based on data acquired from the 8th edition (2019) of the Korea National Health and Nutrition Examination Survey (KNHANES), consisting of survey data on smoking and alcohol consumption, cardiometabolic risk factors, PFT results, metabolic syndrome profile and baseline characteristics such as age, gender and blood pressure. Continuous variables were analyzed by independent t-test, while categorical variables were analyzed using the Rao-Scott chi-square test Precision-recall (PR) plots were used to assess the diagnostic value of anthropometric measurements for cardiometabolic risk profiles such as insulin resistance, impaired glucose tolerance, dyslipidemia, hypertension, central obesity and PFT results. Area under the curve (AUC) was used to evaluate the predictive ability of the anthropometric measurements and calculation-modified anthropometric measurements (CMAMs) such as NC(neck circumference) devided by BMI(body mass index) and WC(waist circumference) and BMI devided by WC at different preset thresholds. Calculation was used to distinguish each anthropometric measurements aside from common features they may share. Results: A total of 3525study subjects aged over 40 years were included in the study the mean age for male and female were 56.8 and 58.5 respectively, percentage of male and female was 42% and 58% respectively. PR plots of anthropometric measurements and the metabolic syndrome profile indicated that in the presence of 3 metabolic syndrome criteria, waist circumference (WC) and body mass index (BMI) had the highest AUCs 0.62 and 0.587 respectively, in the presence of 4 metabolic syndrome criteria, waist circumference (WC) and body mass index (BMI) had the highest AUCs 0.342 and 0.317 respectively whereas in the presence of more than 5 metabolic syndrome criteria, NC and WC had the highest AUCs 0.09 and 0.083 respectively.Conclusion: This study showed that NC is correlated with metabolic syndrome. Additionally, each anthropometric measurement was uniquely correlated with specific cardiometabolic risk factor and differed according to sex. In such cases, applications in smartphones could be used to calculate for cardiometabolic risk assessments. Also it may be necessary to screen for metabolic syndrome in people whose NC is over 39.9cm for males and 34.5cm for females.

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Evaluating the Combination of Metabolic Syndrome and Different Body Mass Index Categories to Predict Risk for Mortality among U.S. Adults

Diabetes ◽

10.2337/db18-1662-p ◽

2018 ◽

Vol 67 (Supplement 1) ◽

pp. 1662-P

Author(s):

TING HUAI SHI ◽

SUNDAR NATARAJAN

Keyword(s):

Metabolic Syndrome ◽

Body Mass Index ◽

Body Mass

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Pancreatic Fat Is Associated With Metabolic Syndrome and Visceral Fat but Not Beta-Cell Function or Body Mass Index in Pediatric Obesity

Pancreas ◽

10.1097/mpa.0000000000000771 ◽

2017 ◽

Vol 46 (3) ◽

pp. 358-365 ◽

Cited By ~ 23

Author(s):

Johan Staaf ◽

Viktor Labmayr ◽

Katharina Paulmichl ◽

Hannes Manell ◽

Jing Cen ◽

...

Keyword(s):

Metabolic Syndrome ◽

Body Mass Index ◽

Beta Cell ◽

Body Mass ◽

Visceral Fat ◽

Pediatric Obesity ◽

Beta Cell Function ◽

Cell Function ◽

Pancreatic Fat

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Bariatric Embolization in the Treatment of Patients with a Body Mass Index Between 30 and 39.9 kg/m2 (Obesity Class I and II) and Metabolic Syndrome, a Pilot Study

CardioVascular and Interventional Radiology ◽

10.1007/s00270-021-02776-7 ◽

2021 ◽

Author(s):

Raphael Braz Levigard ◽

Henrique Serrão ◽

Camille Castro ◽

Priscila Matos ◽

Fernanda Mattos ◽

...

Keyword(s):

Metabolic Syndrome ◽

Body Mass Index ◽

Pilot Study ◽

Body Mass ◽

Class I ◽

Obesity Class ◽

Bariatric Embolization

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Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight

Nutrition Metabolism and Cardiovascular Diseases ◽

10.1016/j.numecd.2021.02.013 ◽

2021 ◽

Vol 31 (5) ◽

pp. 1613-1621

Author(s):

Alexis E. Malavazos ◽

Gloria Capitanio ◽

Valentina Milani ◽

Federico Ambrogi ◽

Irene A. Matelloni ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Central Obesity

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The effects of metformin plus sulfonylurea therapy on clinical features of the metabolic syndrome

Medicinski pregled ◽

10.2298/mpns1010611k ◽

2010 ◽

Vol 63 (9-10) ◽

pp. 611-615 ◽

Cited By ~ 1

Author(s):

Branka Koprivica ◽

Teodora Beljic-Zivkovic ◽

Tatjana Ille

Keyword(s):

Insulin Resistance ◽

Blood Pressure ◽

Type 2 Diabetes ◽

Metabolic Syndrome ◽

Body Mass Index ◽

Waist Circumference ◽

Glycemic Control ◽

Body Mass ◽

Combined Therapy

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.

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