Trajectories of Entering the Metabolic Syndrome

Franco, Oscar H.; Massaro, Joseph M.; Civil, Jacky; Cobain, Mark; O’Malley, Brendan; D’Agostino, Ralph B.

doi:10.1161/circulationaha.109.855817

Cited by 153 publications

(133 citation statements)

References 19 publications

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“…Dyslipidemia has been reported to precede the appearances of blood pressure elevation, fasting glucose elevation, and WC enlargement, 43 and BF% has been suggested to be superior to BMI for detecting subjects with dyslipidemia in a previous study. 44 In the presence of a positive net energy balance, there is increased accumulation of triglycerides in both adipose tissues and non-adipose tissues, such as muscle and liver.…”

Section: Discussionmentioning

confidence: 88%

The Significance of Measuring Body Fat Percentage Determined by Bioelectrical Impedance Analysis for Detecting Subjects With Cardiovascular Disease Risk Factors

Yamashita

Kondo

Osugi

et al. 2012

Circ J

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Section: Discussionmentioning

confidence: 88%

The Significance of Measuring Body Fat Percentage Determined by Bioelectrical Impedance Analysis for Detecting Subjects With Cardiovascular Disease Risk Factors

Yamashita

Kondo

Osugi

et al. 2012

Circ J

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“…T he metabolic syndrome and its components are significant cardiovascular risk factors [1][2][3] and occur disproportionately in racial/ethnic minorities in the United States. 4 Although the definition of the metabolic syndrome may be clinically useful, 5 its genetic architecture remains unclear.…”

Section: Introductionmentioning

confidence: 99%

Genetic Associations with Metabolic Syndrome and Its Quantitative Traits by Race/Ethnicity in the United States

Vassy

Shrader²,

Yang³

et al. 2011

Metabolic Syndrome and Related Disorders

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Background: Elevated insulin resistance (IR), triglycerides (TG), body mass index (BMI), and waist circumference (WC) are features of the metabolic syndrome. Although several single-nucleotide polymorphisms (SNPs) associated with these traits have been reported, no study has reported their risk allele frequencies and effect sizes among the major U.S. race/ethnic groups in a nationally representative sample. Methods: We compared the risk allele frequencies of eight SNPs previously associated with IR, TG, BMI, or WC by race/ethnicity (non-Hispanic white, non-Hispanic black, Mexican American) in 3,030 participants of the National Health and Nutrition Examination Study III (NHANES III). In regression models predicting IR, TG, BMI, WC, and metabolic syndrome, we tested whether the SNP effect sizes on these traits varied by race/ ethnicity. Results: Risk allele frequencies varied by race/ethnicity for all eight loci (P < 0.0001). The directionality of effects of the variants on IR, TG, WC, and BMI was generally consistent with previous observations and did not differ by race/ethnicity (P > 0.001), although our study had low power for this test. No SNP predicted metabolic syndrome in any of the three groups (P > 0.05). Conclusions: The significance of racial/ethnic differences in risk allele frequencies merits consideration if genetic discoveries are to have clinical and public health applicability.

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“…Several studies have actually shown that abdominal obesity more strongly associated with cardiovascular heart diseases (CHD) (Singh et al 2010). Excess abdominal fat is associated with hyperinsulinism and cardio-metabolic alterations (Freedman et al, 2007;Franco et al 2009). The complex relation between body weight and morbidity and mortality was reflected in recent publication from the US National Center for Health Statistics (Flegal et al 2007).…”

Section: Discussionmentioning

confidence: 99%

Relationship between body fat percentage determined by bioelectrical impedance analysis and metabolic risk factors in Syrian male adolescents (18–19 years)

Al-Bachir

Bakir

2017

Anthropological Review

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AbstrAct:The association between increasing obesity and metabolic syndrome among adolescent and the adverse consequences in adulthood including type-2 diabetes and coronary heart disease is well documented. The main objectives of this study were to evaluate the major metabolic risk factors and some clinical important parameters in Syrian male adolescents (18-19 years old), and to assess the correlations between BF% determined by BIA-man prediction equation and metabolic risk factors in the same group. The correlations between body fat percentage (BF%) based on BIA-man predictive equations, blood pressure, fasting blood sugar (FBS), cholesterol (Chol), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), triglycerides (TG), Hematocrit (Ht), and hemoglobin (Hb) in 1596 healthy Syrian adolescents aged 18-19 years and the mean values of these parameters were examined. Data showed that, DBP, Chol, TG, LDL and TG/HDL-C were significantly (p<0.05) higher in overweight and obese subjects in compression to normal weight cases. Whereas, SBP, FBS and Ht were significantly (p<0.05) higher in obese subjects in compression to normal weight. However, all measured variable related to metabolic syndrome risk factors increased with increasing the BF% determined by BIA-man. The present study suggests that % BF by BIA-man is a good predictor of metabolic risks factors for Syrian adolescents.

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Trajectories of Entering the Metabolic Syndrome

Cited by 153 publications

References 19 publications

The Significance of Measuring Body Fat Percentage Determined by Bioelectrical Impedance Analysis for Detecting Subjects With Cardiovascular Disease Risk Factors

The Significance of Measuring Body Fat Percentage Determined by Bioelectrical Impedance Analysis for Detecting Subjects With Cardiovascular Disease Risk Factors

Genetic Associations with Metabolic Syndrome and Its Quantitative Traits by Race/Ethnicity in the United States

Relationship between body fat percentage determined by bioelectrical impedance analysis and metabolic risk factors in Syrian male adolescents (18–19 years)

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