Central Obesity and Coronary Heart Disease Risk Factors in Referral Outpatients to Zahedan Cardiology Clinic, Iran

Overview

Journal Int J High Risk Behav Addict

Publisher Brieflands

Specialty Psychology

Date 2014 Jun 28

PMID 24971238

Citations 1

Authors

Mansour Shahraki

Touran Shahraki

Bahram Pourghasem Gargari

Nourallah Ramroudi

Affiliations

Soon will be listed here.

Abstract

Background: Coronary Heart Disease (CHD) is one of the most common and life-threatening diseases in both developed and developing countries and a close correlation has been found between different types of obesity and CHD.

Objectives: The current study investigated the relationship between central obesity and coronary heart disease risk factors in CHD referral outpatients to Khatam Clinic, Zahedan, Iran.

Patients And Methods: In this clinical, cross-sectional study, data for 120 CHD patients aged 30-60 years were included. Based on waist-to-hip ratio (WHR), subjects were classified into two groups: not centrally obese (NCO; WHR ≤ 0.95 for men, ≤ 0.8 for women) and centrally obese (CO; WHR > 0.95 and > 0.8 for men and women, respectively). Triglyceride (TG), total cholesterol (TC), blood urea nitrogen, creatinine, and fasting blood sugar (FBS) were enzymatically determined. Sitting systolic and diastolic blood pressures were measured for each patient.

Results: Significantly more women than men and significantly more subjects with less education than subjects with more education were CO. Rates of CO were higher in subjects 45-60 years old than in those 30-45 years old (n.s.). CO subjects also had higher mean systolic and diastolic blood pressure, TG, and creatinine levels (n.s.). Significantly higher mean values were observed for FBS in CO subjects than in NCO subjects (P = 0.02). Mean values for smoking were significantly higher in the NCO group compared with the CO group (P = 0.004).

Conclusions: According to the results of this study, in CHD patients, central obesity was associated with certain risk factors, especially FBS. Central obesity was more evident in women, less educated subjects, and older subjects. Further research is required to clarify these associations.

Citing Articles

Discretionary food and beverage consumption and its association with demographic characteristics, weight status, and fruit and vegetable intakes in Australian adults.

Sui Z, Wong W, Chun Yu Louie J, Rangan A Public Health Nutr. 2016; 20(2):274-281.

PMID: 27572276 PMC: 10261270. DOI: 10.1017/S1368980016002305.

References

Rodrigues Barbosa A, Balduino Munaretti D, da Silva Coqueiro R, Ferreti Borgatto A . Anthropometric indexes of obesity and hypertension in elderly from Cuba and Barbados. J Nutr Health Aging. 2011; 15(1):17-21. DOI: 10.1007/s12603-011-0007-7. View

Sluik D, Boeing H, Montonen J, Pischon T, Kaaks R, Teucher B . Associations between general and abdominal adiposity and mortality in individuals with diabetes mellitus. Am J Epidemiol. 2011; 174(1):22-34. DOI: 10.1093/aje/kwr048. View

Doll S, Paccaud F, Bovet P, Burnier M, Wietlisbach V . Body mass index, abdominal adiposity and blood pressure: consistency of their association across developing and developed countries. Int J Obes Relat Metab Disord. 2002; 26(1):48-57. DOI: 10.1038/sj.ijo.0801854. View

Ovaskainen M, Paturi M, Tapanainen H, Harald K . Educational differences in the diet of Finnish adults and the associations between education and the determinants and facilitators of dietary fat quality. Public Health Nutr. 2010; 13(6A):925-31. DOI: 10.1017/S1368980010001114. View

Patil V, Parale G, Kulkarni P, Patil H . Relation of anthropometric variables to coronary artery disease risk factors. Indian J Endocrinol Metab. 2011; 15(1):31-7. PMC: 3079867. DOI: 10.4103/2230-8210.77582. View

Azadbakht L, Esmaillzadeh A . Dietary and non-dietary determinants of central adiposity among Tehrani women. Public Health Nutr. 2007; 11(5):528-34. DOI: 10.1017/S1368980007000882. View

El-Menyar A, Zubaid M, Shehab A, Bulbanat B, AlBustani N, Alenezi F . Prevalence and impact of cardiovascular risk factors among patients presenting with acute coronary syndrome in the middle East. Clin Cardiol. 2011; 34(1):51-8. PMC: 6652285. DOI: 10.1002/clc.20873. View

Komiya H, Mori Y, Yokose T, Tajima N . Smoking as a risk factor for visceral fat accumulation in Japanese men. Tohoku J Exp Med. 2006; 208(2):123-32. DOI: 10.1620/tjem.208.123. View

Tanaka K, Kodama H, Sasazuki S, Yoshimasu K, Liu Y, Washio M . Obesity, body fat distribution and coronary atherosclerosis among Japanese men and women. Int J Obes Relat Metab Disord. 2001; 25(2):191-7. DOI: 10.1038/sj.ijo.0801478. View

10.

Lin S, Cheng T, Liu X, Mai J, Rao X, Gao X . Impact of dysglycemia, body mass index, and waist-to-hip ratio on the prevalence of systemic hypertension in a lean Chinese population. Am J Cardiol. 2006; 97(6):839-42. DOI: 10.1016/j.amjcard.2005.09.133. View

11.

Lu J, Jiang D, Chou S, Hor C, Lay J, Wang H . Prevalence of obesity and its association with cardiovascular disease risk factors in adolescent girls from a college in central Taiwan. Kaohsiung J Med Sci. 2008; 24(3):144-51. DOI: 10.1016/S1607-551X(08)70142-6. View

12.

Dastgiri S, Mahdavi R, Tutunchi H, Faramarzi E . Prevalence of obesity, food choices and socio-economic status: a cross-sectional study in the north-west of Iran. Public Health Nutr. 2006; 9(8):996-1000. DOI: 10.1017/s1368980006009827. View

13.

Kjollesdal M, Holmboe-Ottesen G, Mosdol A, Wandel M . The relative importance of socioeconomic indicators in explaining differences in BMI and waist:hip ratio, and the mediating effect of work control, dietary patterns and physical activity. Br J Nutr. 2010; 104(8):1230-40. DOI: 10.1017/S0007114510001868. View

14.

Ishizaki M, Morikawa Y, Nakagawa H, Honda R, Kawakami N, Haratani T . The influence of work characteristics on body mass index and waist to hip ratio in Japanese employees. Ind Health. 2004; 42(1):41-9. DOI: 10.2486/indhealth.42.41. View

15.

Chouraki V, Wagner A, Ferrieres J, Kee F, Bingham A, Haas B . Smoking habits, waist circumference and coronary artery disease risk relationship: the PRIME study. Eur J Cardiovasc Prev Rehabil. 2008; 15(6):625-30. DOI: 10.1097/HJR.0b013e32830fe479. View

16.

Moreira P, Padrao P . Educational, economic and dietary determinants of obesity in Portuguese adults: a cross-sectional study. Eat Behav. 2006; 7(3):220-8. DOI: 10.1016/j.eatbeh.2005.08.008. View

17.

Koc E, Suher M, Bayrak G . Effects of anthropometric measurements on renal function. Ren Fail. 2006; 28(8):737-41. DOI: 10.1080/08860220600925628. View

18.

Azadbakht L, Mirmiran P, Shiva N, Azizi F . General obesity and central adiposity in a representative sample of Tehranian adults: prevalence and determinants. Int J Vitam Nutr Res. 2005; 75(4):297-304. DOI: 10.1024/0300-9831.75.4.297. View

19.

Neri D, Espinoza A, Bravo A, Rebollo M, Moraga F, Mericq V . [Visceral adiposity and its association with serum lipids in female obese teenagers]. Rev Med Chil. 2007; 135(3):294-300. DOI: 10.4067/s0034-98872007000300003. View

20.

Choi S . Anthropometric measures and lipid coronary heart disease risk factors in Korean immigrants with type 2 diabetes. J Cardiovasc Nurs. 2011; 26(5):414-22. PMC: 3137761. DOI: 10.1097/JCN.0b013e3182017c1f. View