M G Nikolova1, M A Boyanov2,3, A D Tsakova4,5. 1. Sofia Medicine University, Faculty of Medicine, Department of Hygiene, Medical Ecology and Nutrition, Sofia, Bulgaria. 2. Sofia Medicine University, Faculty of Medicine, Department of Internal Medicine, Sofia, Bulgaria. 3. Sofia Medicine University, Faculty of Medicine, Clinic of Endocrinology and Metabolism, Sofia, Bulgaria. 4. Sofia Medicine University, Faculty of Medicine, Department of Clinical Laboratory and Clinical Immunology, "Aleksandrovska" University Hospital, Sofia, Bulgaria. 5. Sofia Medicine University, Faculty of Medicine, Central Clinical Laboratory, Sofia, Bulgaria.
Abstract
OBJECTIVE: To describe the correlations between serum 25(OH) vitamin D and anthropometric and metabolic parameters in adult outpatients of both sexes with different BMI coming from an urban community. SUBJECTS AND METHODS: 264 subjects referred for obesity assessment participated - 109 men and 155 women (20-60 years). Body weight and height, waist circumference (WC), blood pressure were recorded. Body composition was assessed by bioelectrical impedance (BIA) on a Tanita BC 420 MA analyzer (Tanita Inc., Japan). Serum 25(OH)D Total, Insulin, High-sensitivity C-reactive protein, blood glucose, total, HDL-cholesterol and triglycerides were measured. The insulin resistance index was calculated (HOMA-IR). Participants with BMI>25.0 kg/m2 underwent standard 75 g OGTT. Statistical analysis was performed on an IBM SPSS Statistics 19.0 for Windows platform (Chicago, IL). RESULTS: Normal weight was found in 27.2 % of the participants, 24.6 % had overweight, 29.2 % -class I obesity, and 18.9 % - class II or III. Vitamin D was weakly and inversely correlated to different variables in the whole group - such as weight, WC, WC/Height, % body fat and HOMA-IR index (r=-0.231, -0.283, -0.307, -0.339, -0.328 respectively, all p<0.001). Building subgroups based on BMI led to loss of significance. Backward analysis revealed Total-C/LDL-C ratio, and LDL-C/HDL-C ratio as strongest predictors of serum vitamin D (p=0.001; R2=0.204). CONCLUSION: The association of vitamin D with blood pressure, plasma lipids, glucose and insulin is very weak on an individual level. However, several obesity indices (WC, WC/height ratio, % Body fat from BIA) might be used as a screening tool for subjects at risk for vitamin D deficiency.
OBJECTIVE: To describe the correlations between serum 25(OH) vitamin D and anthropometric and metabolic parameters in adult outpatients of both sexes with different BMI coming from an urban community. SUBJECTS AND METHODS: 264 subjects referred for obesity assessment participated - 109 men and 155 women (20-60 years). Body weight and height, waist circumference (WC), blood pressure were recorded. Body composition was assessed by bioelectrical impedance (BIA) on a Tanita BC 420 MA analyzer (Tanita Inc., Japan). Serum 25(OH)D Total, Insulin, High-sensitivity C-reactive protein, blood glucose, total, HDL-cholesterol and triglycerides were measured. The insulin resistance index was calculated (HOMA-IR). Participants with BMI>25.0 kg/m2 underwent standard 75 g OGTT. Statistical analysis was performed on an IBM SPSS Statistics 19.0 for Windows platform (Chicago, IL). RESULTS: Normal weight was found in 27.2 % of the participants, 24.6 % had overweight, 29.2 % -class I obesity, and 18.9 % - class II or III. Vitamin D was weakly and inversely correlated to different variables in the whole group - such as weight, WC, WC/Height, % body fat and HOMA-IR index (r=-0.231, -0.283, -0.307, -0.339, -0.328 respectively, all p<0.001). Building subgroups based on BMI led to loss of significance. Backward analysis revealed Total-C/LDL-C ratio, and LDL-C/HDL-C ratio as strongest predictors of serum vitamin D (p=0.001; R2=0.204). CONCLUSION: The association of vitamin D with blood pressure, plasma lipids, glucose and insulin is very weak on an individual level. However, several obesity indices (WC, WC/height ratio, % Body fat from BIA) might be used as a screening tool for subjects at risk for vitamin D deficiency.
Entities:
Keywords:
body composition; metabolism parameters; obesity; vitamin D
Authors: Sara A Chacko; Yiqing Song; JoAnn E Manson; Linda Van Horn; Charles Eaton; Lisa W Martin; Anne McTiernan; J David Curb; Judith Wylie-Rosett; Lawrence S Phillips; Raymond A Plodkowski; Simin Liu Journal: Am J Clin Nutr Date: 2011-05-25 Impact factor: 7.045
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