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      Predictive value of body mass index to metabolic syndrome risk factors in Syrian adolescents

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          Abstract

          Background

          Obesity has become a serious epidemic health problem in both developing and developed countries. There is much evidence that obesity among adolescents contributed significantly to the development of type 2 diabetes and coronary heart disease in adulthood. Very limited information exists on the prevalence of overweight, obesity, and associated metabolic risk factors among Syrian adolescents. Therefore, the purpose of this study was to determine the relationship between obesity determined by body mass index and the major metabolic risk factors among Syrian adolescents.

          Methods

          A cross-sectional study of a randomly selected sample of 2064 apparently healthy Syrian adolescents aged 18 to 19 years from Damascus city, in Syria, was performed. Body mass index and blood pressure were measured. Serum concentrations of glucose, triglycerides, total cholesterol, high-density lipoprotein-cholesterol, and low-density lipoprotein-cholesterol were determined. Metabolic syndrome was defined using the national criteria for each determined metabolic risk factor. Individuals with a body mass index 25 to 29.9 were classified as overweight, whereas individuals with a body mass index ≥30 were classified as obese.

          A receiver operating characteristics curve was drawn to determine appropriate cut-off points of the body mass index for defining overweight and obesity, and to indicate the performance of body mass index as a predictor of risk factors.

          Results

          The obtained data showed that blood pressure and the overall mean concentrations of fasting blood sugar, triglycerides, cholesterol, low-density lipoprotein-cholesterol, and triglycerides/high-density lipoprotein-cholesterol were significantly higher in overweight and obese adolescent groups ( p <0.0001) in comparison with the normal group. Based on receiver operating characteristics calculation for body mass index and some metabolic risks, the data suggest the best body mass index cut-offs ranged between 23.25 and 24.35 kg/m 2.

          Conclusions

          A strong association between overweight and obesity as determined by body mass index and high concentrations of metabolic syndrome components has been demonstrated. Although body mass index values were lower than the international cut-offs, these values were good predictors of some metabolic abnormalities in Syrian adolescents; body mass index is a good predictor of these abnormalities in this population.

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          Most cited references32

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          Obesity and risk of type 2 diabetes and cardiovascular disease in children and adolescents.

          Overweight/obesity continues to increase in children and adolescents, and annual obesity-related hospital costs in 6-17 yr olds have reached 127 million dollars per year. Overweight children and adolescents are now being diagnosed with impaired glucose tolerance and type 2 diabetes, and they show early signs of the insulin resistance syndrome and cardiovascular risk. Several risk factors have been identified as contributors to the development of type 2 diabetes and cardiovascular risk in youth. These factors include increased body fat and abdominal fat, insulin resistance, ethnicity (with greater risk in African-American, Hispanic, and Native American children), and onset of puberty. There is no clear explanation of how these factors increase risk, but they appear to act in an additive fashion. We hypothesize that the constellation of these risk factors may be especially problematic during the critical period of adolescent development, especially in individuals who may have compromised beta-cell function and an inability to compensate for severe insulin resistance. Therefore, the purpose of this paper is to review the pathophysiology of type 2 diabetes and cardiovascular risk in obese children and adolescents.
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            Overweight and Obesity as Determinants of Cardiovascular Risk

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              The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome

              Background It has been well documented that obesity is closely associated with metabolic syndrome (MetS). Although body mass index (BMI) is the most frequently used method to assess overweightness and obesity, this method has been criticized because BMI does not always reflect true body fatness, which may be better evaluated by assessment of body fat and fat-free mass. The objective of this study was to investigate the best indicator to predict the presence of MetS among fat mass index, BMI and percentage of body fat (BF %) and determine its optimal cut-off value in the screening of MetS in practice. Methods A cross-sectional study of 1698 subjects (aged 20–79 years) who participated in the annual health check-ups was employed. Body composition was measured by bioelectrical impedance analysis (BIA). Fat mass index (FMI) was calculated. Sex-specific FMI quartiles were defined as follows: Q1: <4.39, Q2:4.39- < 5.65, Q3:5.65- < 7.03, Q4:≥7.03,in men; and Q1:<5.25, Q2:5.25- < 6.33, Q3:6.33- < 7.93,Q4:≥7.93, in women. MetS was defined by National Cholesterol Education Program/Adult Treatment Panel III criteria. The association between FMI quartiles and MetS was assessed using Binary logistic regression. Receiver operating curve(ROC) analysis was used to determine optimal cutoff points for BMI,BF% and FMI in relation to the area under the curve(AUC),sensitivity and specificity in men and women. Results The adjusted odds ratios (95% CI) for the presence of MetS in the highest FMI quartile versus lowest quartile were 79.143(21.243-294.852) for men( P < 0.01) and 52.039(4.144-653.436) for women( P < 0.01) after adjusting age, BMI, BF%, TC, LDL, CRP, smoking status and exercise status, and the odds ratios were 9.166(2.157-38.952) for men( P < 0.01) and 25.574(1.945-336.228) for women( P < 0.05) when WC was also added into the adjustment. It was determined that BMI values of 27.45 and 23.85 kg/m2, BF% of 23.95% and 31.35% and FMI of 7.00 and 7.90 kg/m2 were the optimal cutoff values to predict the presence of MetS among men and women according to the ROC curve analysis. Among the indicators used to predict MetS, FMI was the index that showed the greatest area under the ROC curve in both sexes. Conclusions Higher FMI levels appear to be independently and positively associated with the presence of MetS regardless of BMI and BF%. FMI seems to be a better screening tool in prediction of the presence of metabolic syndrome than BMI and percentage of body fat in men and women.
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                Author and article information

                Contributors
                ascientific9@aec.org.sy
                Journal
                J Med Case Rep
                J Med Case Rep
                Journal of Medical Case Reports
                BioMed Central (London )
                1752-1947
                25 June 2017
                25 June 2017
                2017
                : 11
                : 170
                Affiliations
                [1 ]ISNI 0000 0000 9342 9009, GRID grid.459405.9, , Department of Radiation Technology, Atomic Energy Commission of Syria, ; P.O. Box 6091, Damascus, Syrian Arab Republic
                [2 ]ISNI 0000 0000 9342 9009, GRID grid.459405.9, , Department of Nuclear Medicine, Atomic Energy Commission of Syria, ; P.O. Box 6091, Damascus, Syrian Arab Republic
                Article
                1315
                10.1186/s13256-017-1315-2
                5483316
                28646923
                f9198ee7-9191-42c8-bce0-b7e4e84c2444
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 16 February 2017
                : 3 May 2017
                Funding
                Funded by: Atomic Energy Commission of Syria
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Medicine
                syrian adolescents,body mass index (bmi),blood pressure,metabolic syndrome,risk factors
                Medicine
                syrian adolescents, body mass index (bmi), blood pressure, metabolic syndrome, risk factors

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