scholarly journals Pediatric Loss-of-Control Eating and Anxiety in Relation to Components of Metabolic Syndrome

2018 ◽  
Vol 44 (2) ◽  
pp. 220-228 ◽  
Author(s):  
Meghan E Byrne ◽  
Marian Tanofsky-Kraff ◽  
Nichole R Kelly ◽  
Anne Claire Grammer ◽  
Manuela Jaramillo ◽  
...  

Abstract Objective Pediatric loss-of-control (LOC) eating is associated with, and predictive of, gains in adiposity and adverse metabolic outcomes. In addition, some preliminary data suggest that anxiety may exacerbate the relationship of LOC eating with weight and metabolic syndrome (MetS)-related measures. We therefore examined whether anxiety moderated the relationship between LOC eating and body mass index z (BMIz), adiposity, and MetS-related measures in youth. Methods A convenience sample of non-treatment-seeking boys and girls of varying weight strata were interviewed to determine the presence of LOC eating and completed a questionnaire assessing trait anxiety. BMIz and MetS-related measures (blood pressure, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, glucose, and insulin) were measured after an overnight fast. Adiposity was assessed by air displacement plethysmography or dual-energy x-ray absorptiometry. Analyses adjusted for age, sex, race, height, fat mass, and depressive symptoms, as appropriate. Results In all, 379 youths (13.0 ± 2.8 years; 53% female; BMIz = 0.8 ± 1.1; 22% with LOC eating) were studied. Anxiety was not significantly related to BMIz, adiposity, or MetS-related measures. However, anxiety and LOC eating interacted such that only among youth with LOC eating, anxiety was positively associated with fasting insulin (p = .02) and insulin resistance (p = .01). The interaction of anxiety and LOC eating was not significantly related to BMIz, adiposity, or any other MetS-related measure (ps = ns). Conclusions Only among non-treatment-seeking youth with LOC eating, anxiety may be associated with increased insulin secretion and insulin resistance. Longitudinal studies are required to confirm these findings and explore mechanisms for these relationships.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Young Suk Shim

Abstract The current study aimed to evaluate the distribution of the tri-ponderal mass index (TMI) according to sex and age and the relationship of obesity groups according to sex- and age-specific TMI with metabolic syndrome (MetS) and its components. A total of 8,464 subjects aged 10–20 years were classified into 4 groups according to sex- and age-specific TMI: (i) underweight, (ii) normal weight, (iii) overweight, and (iv) obese. The range of the 50th percentiles of TMI was from 13.24 kg/m3 at 10 years to 12.94 kg/m3 at 20 years among males and from 12.19 kg/m3 to 12.84 kg/m3 among females. In the analysis of covariance, obesity groups according to sex- and age-specific TMI were positively correlated with waist circumference (WC) standard deviation score; systolic blood pressure (BP); diastolic BP; and levels of glucose, total cholesterol, triglycerides (TGs), and low-density lipoprotein cholesterol, but for both sexes, the obesity groups were negatively related to high-density lipoprotein cholesterol (HDL-C). In the multiple logistic regression, subjects in the overweight group had higher odds ratios (ORs) for elevated WC (29.18), elevated BP (1.33), elevated TGs (2.55), reduced HDL-C (2.31), and MetS (8.93) than those with normal weight. Participants in the obesity group had increased ORs for elevated WC (154.67), elevated BP (2.22), elevated glucose (3.54), elevated TGs (4.12), reduced HDL-C (3.69), and MetS (25.57) compared to participants with normal weight after adjustment for confounders. Our results suggest that sex- and age-specific TMI may be applicable in the clinical setting as a useful screening tool.


2010 ◽  
Vol 35 (6) ◽  
pp. 773-782 ◽  
Author(s):  
Shuguang Li ◽  
Laetitia Guerin-Deremaux ◽  
Marine Pochat ◽  
Daniel Wils ◽  
Cheryl Reifer ◽  
...  

The influence of dietary fiber on determinants of metabolic syndrome is controversial. The objective of this study was to determine the effects of NUTRIOSE supplementation on insulin resistance and the determinants of metabolic syndrome in overweight men. In this double-blind, randomized, placebo-controlled study, we supplemented the diets of overweight Chinese men with 250 mL of fruit juice that contained NUTRIOSE (Test group: n = 60, age = 30.4 ± 4.3 years, body mass index (BMI) = 24.5 ± 0.2 kg·m–2) or a maltodextrin placebo (Control group: n = 60, age = 31.6 ± 4.1 years, BMI = 24.5 ± 0.3 kg·m–2) at a dosage of 17 g twice daily for 12 weeks. Daily caloric intake, body composition, blood chemistry, and blood pressure were evaluated every 4 weeks during the trial. Test subjects consumed fewer calories per day and had greater reductions in body weight, BMI, body fat percentage, and waist circumference than Control subjects. All markers of glucose metabolism improved in the Test group, with increases in adiponectin and reductions in glucose, insulin, homeostasis model assessment-estimated insulin resistance, glycosylated hemoglobin, and glycated albumin (all p < 0.01). Similarly, all lipid measures improved with increases in high-density lipoprotein cholesterol and reductions in total cholesterol, low-density lipoprotein cholesterol, very low-density lipoprotein cholesterol, and triglycerides (all p < 0.01). No changes were observed in systolic blood pressure between groups. Most components of glucose metabolism and the lipid profile were significantly better in the Test than in the Control subjects. No adverse events or gastrointestinal complaints were reported in either group. Supplementation with NUTRIOSE for 12 weeks is well tolerated, lowers insulin resistance, and improves determinants of metabolic syndrome in overweight men.


2013 ◽  
Vol 98 (8) ◽  
pp. 3280-3287 ◽  
Author(s):  
Yasuyo Nakajima ◽  
Masanobu Yamada ◽  
Masako Akuzawa ◽  
Sumiyasu Ishii ◽  
Yasuhiro Masamura ◽  
...  

Context: Subclinical hypothyroidism (SCH) and metabolic syndrome (MetS) increase with age; however, their relationship remains unclear. Objective: Our objective was to investigate the relationship between SCH and indices of metabolic syndrome and follow up subjects for 1 year. Design: Cross-sectional and longitudinal follow-up studies of cases were collected from Takasaki Hidaka Hospital between 2003 and 2007. Participants: Overall, 11 498 participants of health checkups were analyzed. The mean age was 48 ± 9 years. Main Outcome Measures: The relationship between SCH and indices of MetS were examined. Results: Serum free T4 levels were lower in women than men in most of the age groups, and the prevalence of SCH, 6.3% in women vs 3.4% in men, increased with age, reaching 14.6% in 70-year-old women. Multivariate logistic-regression analyses revealed that waist circumference and the serum triglyceride and low-density lipoprotein-cholesterol levels were significantly higher in subjects with SCH than without among women. Reflecting these findings, the adjusted odds ratio of MetS in patients with SCH was higher than in the euthyroid subjects in women with an odds ratio of 2.7 (95% confidence interval 1.1–5.6; P = .017) but not in men. Furthermore, progression from euthyroid into SCH resulted in a significant increase in the serum triglyceride levels but not low-density lipoprotein-cholesterol in women. Conclusion: Japanese women exhibited a high prevalence of SCH associated with low free T4 levels. There was a strong association between SCH and several indices of metabolic syndrome in women. SCH may affect serum triglyceride levels and be a risk factor for metabolic syndrome.


2005 ◽  
Vol 62 (11) ◽  
pp. 811-819
Author(s):  
Aleksandra Jovelic ◽  
Goran Radjen ◽  
Stojan Jovelic ◽  
Marica Markovic

Background/Aim. C-reactive protein is an independent predictor of the risk of cardiovascular events and diabetes mellitus in apparently healthy men. The relationship between C-reactive protein and the features of metabolic syndrome has not been fully elucidated. To assess the cross-sectional relationship between C-reactive protein and the features of metabolic syndrome in healthy people. Methods. We studied 161 military pilots (agee, 40?6 years) free of cardiovascular disease, diabetes mellitus and active inflammation on their regular annual medical control. Age, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglycerides, fasting glucose, glycosylated hemoglobin, blood pressure, smoking habit, waist circumference and body mass index were evaluated. Plasma C-reactive protein was measured by the immunonephelometry (Dade Behring) method. Metabolic syndrome was defined according to the National Cholesterol Education Program Expert Panel. Results. The mean C-reactive protein concentrations in the subjects grouped according to the presence of 0, 1, 2 and 3 or more features of the metabolic syndrome were 1.11, 1.89, 1.72 and 2.22 mg/L, respectively (p = 0.023) with a statistically, significant difference between those with 3, and without metabolic syndrome (p = 0.01). In the simple regression analyses C-reactive protein did not correlate with the total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, body mass index and blood pressure (p > 0.05). In the multiple regression analysis, waist circumference (? = 0.411, p = 0.000), triglycerides to high density lipoprotein cholesterol ratio (? = 0.774, p = 0.000), smoking habit (? = 0.236, p = 0.003) and triglycerides (? = 0.471, p = 0.027) were independent predictors of C-reactive protein. Conclusions. Our results suggested a cross-sectional independent correlation between the examined cardiovascular risk factors as the predominant features of metabolic syndrome and C-reactive protein in the group of apparently healthy subjects. The lack of correlation of C-reactive protein with the total cholesterol and low density lipoprotein cholesterol in our study may suggest their different role in the process of atherosclerosis and the possibility to determine C-reactive protein in order to identify high-risk subjects not identified with cholesterol screening.


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