@2024 Afarand., IRAN
ISSN: 2008-2630 Iranian Journal of War & Public Health 2014;6(5):195-200
ISSN: 2008-2630 Iranian Journal of War & Public Health 2014;6(5):195-200
Correlation between Body Mass Index and Waist Circumference Size with Type 2 Diabetes in Male Iranian Veterans
ARTICLE INFO
Article Type
Original ResearchAuthors
Angourani P (*)Heydari M (1)
Karimi Z (2)
Ebrahimof S (3)
Mehrzadi M (2)
(*) Institute of Nutrition & Food Technology, Nutrition Sciences & Food Technology Faculty,, Shahid Beheshti University of Medical Sciences, Tehran, Iran
(1) 1Janbazan Medical & Engineering Research Center, Tehran, Iran
(2) Institute of Nutrition & Food Technology, Nutrition Sciences & Food Technology Faculty, Shahid Beheshti University of Medical Sciences, Tehran, Iran
(2) Institute of Nutrition & Food Technology, Nutrition Sciences & Food Technology Faculty, Shahid Beheshti University of Medical Sciences, Tehran, Iran
(3) 3“Student Research Committee” and “Institute of Nutrition & Food Technology, Nutrition Sciences & Food Technology Faculty”, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Correspondence
Article History
Received: December 9, 2013Accepted: August 3, 2014
ePublished: November 6, 2014
ABSTRACT
Aims
Veterans due to inactive life styles and different problems like amputation, inactivity
and different drugs consumption are more susceptible to obesity and its related diseases
such as diabetes. This study aimed to investigate the relationship between general obesity
(Body Mass Index) and abdominal obesity (waist circumference size) with type 2 diabetes in
male Iranian veterans.
Materials & Methods The present case-control study was done on veterans referred to weight disorders clinic of Sasan Hospital in 2011-13. 135 type 2 diabetic male veterans (diabetic group) and 203 non-diabetic male veterans (non-diabetic group), were selected using available sampling method. Age, education, physical activity in month before the study, and disability status were recorded in a checklist. Data were analyzed using Student-T, Chi-square and logistic regression analysis.
Findings A significant difference was observed between weight, waist circumference size and body mass index between diabetic and non-diabetic groups (p=0.0001). The effect of waist circumference size on diabetes was significant. Body mass index showed no significant difference on type 2 diabetes.
Conclusion There is a correlation between waist circumference size and type 2 diabetes but body mass index has no effect on type 2 diabetes.
Materials & Methods The present case-control study was done on veterans referred to weight disorders clinic of Sasan Hospital in 2011-13. 135 type 2 diabetic male veterans (diabetic group) and 203 non-diabetic male veterans (non-diabetic group), were selected using available sampling method. Age, education, physical activity in month before the study, and disability status were recorded in a checklist. Data were analyzed using Student-T, Chi-square and logistic regression analysis.
Findings A significant difference was observed between weight, waist circumference size and body mass index between diabetic and non-diabetic groups (p=0.0001). The effect of waist circumference size on diabetes was significant. Body mass index showed no significant difference on type 2 diabetes.
Conclusion There is a correlation between waist circumference size and type 2 diabetes but body mass index has no effect on type 2 diabetes.
CITATION LINKS
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[21]Sarraf Bank S, Malek Ahmadi M, Khosravi ZS, Ghiasvand R, Rezaei E, Sabouri J. The prevalence of obesity and overweight in Isfahan veterans. Health Sys Res. 2010;6(3):559-66. [Persian]
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[24]Siddiqui A, Pena Sahdala HN, Nazario HE, Mahgoub A, Patel M, Cipher D, Spechler S. Obesity is associated with an increased prevalance of advanced adenomatous colon polyps in male veteran population. Dig Dis Sci. 2009;54(7):1560-4.
[25]Nelson KM. The burden of obesity among a national probability sample of veterans. J Gen Intern Med. 2006;21(9):915-9.
[26]Rashidi A, Mohammadpour-Ahranjani B, Vafa MR, Karandish M. Prevalance of obesity in Iran. Obes Rev. 2005;6(3):191-2.
[27]Chavannes NH, Huibers MJ, Schermer TR, Hendriks A, van Weel C, Wouters EF, et al. Associations of depressive symptoms with gender, body mass index and dyspnea in primary care COPD patients. Fam Pract. 2005;22(6):604-7.
[28]Prinz P. Sleep, appetite and obesity: What is link?. PLoS Med. 2004;1(3):e61.
[29]Wannamethee S, Shaper A, Walker M. Overweight and obesity and weight change in middle aged men: Impact on cardiovascular disease and diabetes. J Epidemiol Community Health. 2005;59(2):134-9.
[30]Haluzík M, Parízková J, Haluzík MM. Adiponectin and its role in the obesity-induced insulin resistance and related complecations. Physiol Res. 2004;53(2):123-9.
[31]Nagaya T, Yoshida H, Takahashi H, Kawai M. Increases in body mass index, even within non-obese levels, raise the risk for Type 2 diabetes mellitus: A follow-up study in a Japanese population. Diabet Med. 2005;22(8):1107-11.
[32]Hosseinpanah F, Rambod M, Azizi F. Population attributable risk for diabetes associated with excess weight in Tehranian adults: A population-based cohort study. BMC Pub Health. 2007;7:328.
[33]Hart CL, Hole DJ, Lawlor DA, Davey Smith G. How many cases of Type 2 diabetes mellitus are due to being overweight in middle age? Evidence from the Midspan prospective cohort studies using mention of diabetes mellitus on hospital discharge or death records. Diabet Med. 2007;24(1):73-80.
[34]de Oliveira Alvim R, Mourao-Junior CA, de Oliveira CM, Krieger JE, Mill JG, Pereira AC. Body mass index, waist circumference, body adiposity index, and risk for type 2 diabetes in two populations in Brazil: General and Amerindian. PLoS One. 2014;9(6):e100223.
[35]Tulloch-Reid MK, Williams DE, Looker HC, Hanson RL, Knowler WC. Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care. 2003;26(9):2556-61.
[36]Vazquez G, Duval S, Jacobs DR Jr, Silventoinen K.. Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev. 2007;29:115-28.
[37]Reaven GM. Syndrome X: 6 years later. J Intern Med Suppl. 1994;736:13-22.
[2]World Health Organization. Obesity epidemic puts milions at risk from related diseases. Isr J Med Sci. 1997;33(10):706
[3]Hossain P, Kawar B, EL Nahas M. Obesity and diabetes in developing world: A growing challenge. N Engl J Med. 2007;356(3):213-5.
[4]Poulain M, Doucet M, Major GC, Drapeau V, Sériès F, Boulet LP, et al. The effect of obesity on chronic respiratory diseases: Pathophysiology and therapeutic strategies. Can Med Assoc J. 2006;174(9):1293-9.
[5]Hart CL, Hole DJ, Lawlor DA, Smith GD. Obesity and use of acute hospital services in participants of the Renfrew/Paisley study. J Pub Health. 2007;29(1):53-6.
[6]Bray GA. Medical concequences of obesity. J Clin Endocrinaol Metab. 2004;89(6):2583-9.
[7]Zimmet P, Alberti KG, Shaw J. Global and social implication of the diabetes epidemic. Nature. 2001;414(6865):782-7.
[8]
[9]Esteghamati A, Gouya MM, Abbasi M, Delavari A, Alikhani S, Alaedini F, et al. Prevalence of diabetes and impaired fasting glucose in the adult population of Iran: National Survey of Risk Factors for Non-Communicable Diseases of Iran. Diabetes Care. 2008;31(1):96-8.
[10]Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001;334(18):1343-50.
[11]Shajari H, Shajari A, Sepahi MA, Mehrparvar AH, Roghani R, Nakhaei MH.. Relationship between arterial blood pressure and body mass index of school age children of southern region of Iran. Acta Med Iran. 2011;49(11):737-41.
[12]Nagaya T, Yoshida H, Takahashi H, Kawai M. Increases in body mass index, even within non-obese levels, raise the risk for Type 2 diabetes mellitus: A follow-up study in a Japanese population. Diabet Med. 2005;22(8):1107-11.
[13]Li S, Xiao J, Ji L, Weng J, Jia W, Lu J, et al. BMI and waist circumference are associated with impaired glucose metabolism and type 2 diabetes in normal weight Chinese adults. J Diabetes Complications. 2014;28(4):470-6.
[14]Wei M, Gaskill SP, Haffner SM, Stern MP. Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans: A 7-year prospective study. Obes Res. 1997;5(1):16-23.
[15]Stevens J, Couper D, Pankow J, Folsom AR, Duncan BB, Nieto FJ, et al. Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. Obes Res. 2001;9(11):696-705.
[16]Ram J, Snehalatha C, Nanditha A, Selvam S, A Shetty S, Godsland IF, Johnston DG, Ramachandran A. Hypertriglyceridaemic waist phenotype as a simple predictive marker of incident diabetes in Asian-Indian men with prediabetes. Diabet Med. 2014;9.
[17]Alidousti M, Davoodi Gh. Correlation of body mass index (BMI) and waist-to-hip ratio with risk of acute myocardial infarction. Iran J Diabetes Metabol. 2004;4(1):91-8. [Persian]
[18]American Diabetes Association. Diagnosis and classification of diabetes melitus. Diabetes Care. 2010;33(Suppl 1):62-69.
[19]Charney P, Malone AM. ADA pocket guide to nutrition assessment. 2nd ed. Chicago: Amer Dietetic Assn; 2004.
[20]Ghoddousi K, Ghanei M, Bahaeloo Horeh S, Khoddami Vishteh H. Body mass index in veterans exposed to chemical warfare agents with chronic bronchiolitis. Iran J Endocrinol Metabol. 2007;9(3):285-90. [Persian]
[21]Sarraf Bank S, Malek Ahmadi M, Khosravi ZS, Ghiasvand R, Rezaei E, Sabouri J. The prevalence of obesity and overweight in Isfahan veterans. Health Sys Res. 2010;6(3):559-66. [Persian]
[22]Yaghoubi M, Esmailzadeh H, Yaghoubi Gh. Relationship between physical activity and prevalence of obesity and overweight in the disabled and veterans. J Mil Med. 2013;14(4):245-8. [Persian]
[23]Sparks JP, Bollinger M. A demographic profile of obesity in the adult and veteran US populations in 2008. Population Res Policy Rev. 2011;30(2):211-33.
[24]Siddiqui A, Pena Sahdala HN, Nazario HE, Mahgoub A, Patel M, Cipher D, Spechler S. Obesity is associated with an increased prevalance of advanced adenomatous colon polyps in male veteran population. Dig Dis Sci. 2009;54(7):1560-4.
[25]Nelson KM. The burden of obesity among a national probability sample of veterans. J Gen Intern Med. 2006;21(9):915-9.
[26]Rashidi A, Mohammadpour-Ahranjani B, Vafa MR, Karandish M. Prevalance of obesity in Iran. Obes Rev. 2005;6(3):191-2.
[27]Chavannes NH, Huibers MJ, Schermer TR, Hendriks A, van Weel C, Wouters EF, et al. Associations of depressive symptoms with gender, body mass index and dyspnea in primary care COPD patients. Fam Pract. 2005;22(6):604-7.
[28]Prinz P. Sleep, appetite and obesity: What is link?. PLoS Med. 2004;1(3):e61.
[29]Wannamethee S, Shaper A, Walker M. Overweight and obesity and weight change in middle aged men: Impact on cardiovascular disease and diabetes. J Epidemiol Community Health. 2005;59(2):134-9.
[30]Haluzík M, Parízková J, Haluzík MM. Adiponectin and its role in the obesity-induced insulin resistance and related complecations. Physiol Res. 2004;53(2):123-9.
[31]Nagaya T, Yoshida H, Takahashi H, Kawai M. Increases in body mass index, even within non-obese levels, raise the risk for Type 2 diabetes mellitus: A follow-up study in a Japanese population. Diabet Med. 2005;22(8):1107-11.
[32]Hosseinpanah F, Rambod M, Azizi F. Population attributable risk for diabetes associated with excess weight in Tehranian adults: A population-based cohort study. BMC Pub Health. 2007;7:328.
[33]Hart CL, Hole DJ, Lawlor DA, Davey Smith G. How many cases of Type 2 diabetes mellitus are due to being overweight in middle age? Evidence from the Midspan prospective cohort studies using mention of diabetes mellitus on hospital discharge or death records. Diabet Med. 2007;24(1):73-80.
[34]de Oliveira Alvim R, Mourao-Junior CA, de Oliveira CM, Krieger JE, Mill JG, Pereira AC. Body mass index, waist circumference, body adiposity index, and risk for type 2 diabetes in two populations in Brazil: General and Amerindian. PLoS One. 2014;9(6):e100223.
[35]Tulloch-Reid MK, Williams DE, Looker HC, Hanson RL, Knowler WC. Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians. Diabetes Care. 2003;26(9):2556-61.
[36]Vazquez G, Duval S, Jacobs DR Jr, Silventoinen K.. Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev. 2007;29:115-28.
[37]Reaven GM. Syndrome X: 6 years later. J Intern Med Suppl. 1994;736:13-22.