Sun, May 19, 2024
[Archive]
Volume 3, Issue 1 (Feb 2018)
JNFS 2018, 3(1): 33-39 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Yosaee S, Bazrafshan M, Erfani M, Esteghamati A, Hosseini B, Djafaria K. Body Composition in Healthy Obese/Overweight and Normal Weight Subjects Compared to Patients with Metabolic Syndrome . JNFS 2018; 3 (1) :33-39
URL: http://jnfs.ssu.ac.ir/article-1-130-en.html
URL: http://jnfs.ssu.ac.ir/article-1-130-en.html
Somaye Yosaee 
, Mohammad-Rafi Bazrafshan , Mohammadreza Erfani , Alireza Esteghamati , Banafshe Hosseini , Kurosh Djafaria *
, Mohammad-Rafi Bazrafshan , Mohammadreza Erfani , Alireza Esteghamati , Banafshe Hosseini , Kurosh Djafaria *
Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
Abstract: (3127 Views)
Background: According to previous studies, patient with metabolic syndrome (MetS) are different in terms of body composition from healthy subjects. The purpose of the present study was to determine the body composition of healthy obese/overweight patients and compared them with those having MetS. Methods: A case-control study was conducted on both men and women aged 20 to 55 years, who were selected using sequential sampling method, based on the inclusion and exclusion criteria, from those referred to an endocrinology and the diabetes clinic affiliated to Tehran University of Medical Sciences. One hundred and forty seven subjects were enrolled in the study and divided into three groups, including 49 with MetS, 49 obese/overweight subjects without MetS, and 49 were normal weight subjects. Body composition was measured for all subjects using bioelectrical impedance analysis. NCEP ATP III was the criterion for definition of Mets. Results: No significant differences were found between the study groups in terms of demographic variables. The mean of the waist circumference (WC) was higher in MetS patients (P < 0.05) as compared with the control groups. Obese/overweight group had higher percentage of body fat and lower fat free mass than normal weight group (P < 0.05). Conclusion: Obese/overweight patients with and without MetS had significantly higher fat mass and WC than normal weight controls, while only WC was higher in MetS group as compared with obese/overweight patients without MetS. Therefore, reduction in body fat and WC should be emphasized in patients with MetS.
Type of article: orginal article |
Subject:
public specific
Received: 2017/04/20 | Published: 2018/01/30 | ePublished: 2018/01/30
Received: 2017/04/20 | Published: 2018/01/30 | ePublished: 2018/01/30
References
1. Alberti KGMM, Zimmet P & Shaw J 2006. Metabolic syndrome—a new world‐wide definition. A consensus statement from the international diabetes federation. Diabetic medicine. 23 (5): 469-480.
2. Avramoglu RK, Basciano H & Adeli K 2006. Lipid and lipoprotein dysregulation in insulin resistant states. International Journal of clinical chemistry and diagnostic laboratory medicine. 368 (1): 1-19.
3. Azizi F, Salehi P, Etemadi A & Zahedi-Asl S 2003. Prevalence of metabolic syndrome in an urban population: Tehran Lipid and Glucose Study. Diabetes research and clinical practice. 61 (1): 29-37.
4. Banerji MA, Faridi N, Atluri R, Chaiken RL & Lebovitz HE 1999. Body composition, visceral fat, leptin, and insulin resistance in Asian Indian men. The journal of clinical endocrinology & metabolism. 84 (1): 137-144.
5. De Koning L, Merchant AT, Pogue J & Anand SS 2007. Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. European heart journal. 28 (7): 850-856.
6. Dehghan M & Merchant AT 2008. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutrition journal. 7 (1): 26.
7. Després J-P & Lemieux I 2006. Abdominal obesity and metabolic syndrome. Nature. 444 (7121): 881-887.
8. Dudeja V, et al. 2001. BMI does not accurately predict overweight in Asian Indians in northern India. British journal of nutrition. 86 (1): 105-112.
9. Ebbeling CB, Pawlak DB & Ludwig DS 2002. Childhood obesity: public-health crisis, common sense cure. The lancet. 360 (9331): 473-482.
10. Esmaillzadeh A, Mirmiran P & Azizi F 2006. Comparative evaluation of anthropometric measures to predict cardiovascular risk factors in Tehranian adult women. Public health nutrition. 9 (1): 61-69.
11. Ferrari CK 2008. Metabolic syndrome and obesity: Epidemiology and prevention by physical activity and exercise. Journal of exercise science & fitness. 6 (2): 87-96.
12. Goodpaster BH, et al. 2005. Obesity, regional body fat distribution, and the metabolic syndrome in older men and women. Archives of internal medicine. 165 (7): 777-783.
13. Gregor MF & Hotamisligil GS 2011. Inflammatory mechanisms in obesity. Annual review of immunology. 29: 415-445.
14. Grundy SM, Hansen B, Smith SC, Cleeman JI & Kahn RA 2004. Clinical management of metabolic syndrome. Arteriosclerosis, thrombosis, and vascular biology. 24 (2): e19-e24.
15. Hanson RL, Imperatore G, Bennett PH & Knowler WC 2002. Components of the “metabolic syndrome” and incidence of type 2 diabetes. Diabetes. 51 (10): 3120-3127.
16. Jaber LA, Brown MB, Hammad A, Zhu Q & Herman WH 2004. The prevalence of the metabolic syndrome among Arab Americans. Diabetes care. 27 (1): 234-238.
17. Jaddou HY, Bateiha AM, Khawaldeh A, Goussous YM & Ajlouni KM 2001. Blood pressure profile in schoolchildren and adolescents in Jordan. Annals of Saudi medicine. 21 (1/2): 123-126.
18. Kamath SK, et al. 1999. Cardiovascular disease risk factors in 2 distinct ethnic groups: Indian and Pakistani compared with American premenopausal women. The American journal of clinical nutrition. 69 (4): 621-631.
19. Knowles K, et al. 2011. Waist circumference, body mass index, and other measures of adiposity in predicting cardiovascular disease risk factors among Peruvian adults. International journal of hypertension. 2011.
20. Kruger R, Kruger H & Macintyre U 2006. The determinants of overweight and obesity among 10-to 15-year-old schoolchildren in the North West Province, South Africa–the THUSA BANA (Transition and Health during Urbanisation of South Africans; BANA, children) study. Public health nutrition. 9 (3): 351-358.
21. Kullberg J, et al. 2007. Practical approach for estimation of subcutaneous and visceral adipose tissue. Clinical physiology and functional imaging. 27 (3): 148-153.
22. Lakka H-M, et al. 2002. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. The journal of the American medical association. 288 (21): 2709-2716.
23. McNeill AM, et al. 2005. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes care. 28 (2): 385-390.
24. Menghetti E, et al. 2004. Hypertension in schoolchildren: research carried out in a secondary school in Rome and observations on dietary patterns. Minerva pediatrica. 56 (3): 311-316.
25. Mukuddem-Petersen J, et al. 2006. Sagittal abdominal diameter: no advantage compared with other anthropometric measures as a correlate of components of the metabolic syndrome in elderly from the Hoorn Study. The American journal of clinical nutrition. 84 (5): 995-1002.
26. Shiwaku K, et al. 2005. Prevalence of the metabolic syndrome using the modified ATP III definitions for workers in Japan, Korea and Mongolia. Journal of occupational health. 47 (2): 126-135.
27. Stefan N, et al. 2008. Identification and characterization of metabolically benign obesity in humans. Archives of internal medicine. 168 (15): 1609-1616.
28. Storti KL, Brach JS, FitzGerald SJ, Bunker CH & Kriska AM 2006. Relationships among Body Composition Measures in Community‐dwelling Older Women. Obesity. 14 (2): 244-251.
29. Utzschneider KM, et al. 2004. Impact of intra-abdominal fat and age on insulin sensitivity and β-cell function. Diabetes. 53 (11): 2867-2872.
30. Veugelers PJ & Fitzgerald AL 2005. Prevalence of and risk factors for childhood overweight and obesity. Canadian medical association journal. 173 (6): 607-613.
31. Wildman RP, et al. 2008. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Archives of internal medicine. 168 (15): 1617-1624.
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
