Relationship between Body Mass Index and Demographic Features in Women

Authors

  • Mojtaba Sepandi - دانشگاه علوم پزشکی شیراز- گروه اپیدمیولوژی دانشجوی دکترای تخصصی اپیدمیولوژی
  • Mohammad-Hosein Haghighi-Zadeh دانشگاه علوم پزشکي اهواز- گروه آمار زيستي و اپيدميولوژي- مربي
  • Maryam Taghdir دانشگاه علوم پزشکی شیراز- گروه تغذیه- دانشجوی دکترای تخصصی تغذیه.

DOI:

https://doi.org/10.22100/jkh.v6i1.89

Keywords:

Obesity, Body mass index, Women, Demographic features

Abstract

Introduction: Obesity is a complex status with important psychological and social dimensions. This is seen in all ages and in all economic and social groups. Obesity is a modifiable risk factor for many chronic diseases. Using body mass index (BMI) is a simple and common approach to evaluating overweight and obesity. This study was conducted to determine the relationship between some demographic factors and BMI in women referring to health centers in Ahwaz.

Methods: This study is a cross-sectional study. Using cluster random sampling, 899 women referring to health centers in Ahwaz in 1387 were studied. The relationship between BMI and level of education, marital status, occupation and age was studied through multiple linear regression method.

Results: Age and marital status had a relationship with BMI that was statistically significant (P=0.0001). Level of education also showed a statistically significant but inverse relationship with mean of BMI (P=0.005). The relationship between BMI and occupation was not significant in the regression model (P=0.14).

Conclusion: Older age, being married, and low level of education are among the factors influencing BMI.

References

Obesity - preventing and managing the global epidemic: report of a WHO consultation on obesity.World Health Organization Web site http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en 2000. Accessed Agust 2011, 14.

Cameron AJ, Welborn TA, Zimmet PZ, Dunstan DW, Owen N, Salmon J, et al. Overweight and obesity in Australia: the 1999-2000 Australian diabetes, obesity and lifestyle study (AusDiab). Med J Aust 2003;178(8):427-32.

Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999-2000. JAMA 2002;288(14):1723-7.

Seidell JC. Obesity, insulin resistance and diabetes: a worldwide epidemic. Br J Nutr 2000;83:S5-8.

Hajian-Tilaki KO, Heidari B. Prevalence of obesity, central obesity and the associated factors in urban population aged 20-70 years, in the north of Iran: a population based study and regression approach. Obes Rev 2007;8(1):3-10.

Hodge AM, Dowse GK, Toelupe P, Collins VR, Imo T, Zimmet PZ. Dramatic increase in the prevalence of obesity in western Samoa over the 13 year period 1978-1991. Int J Obes Relat Metab Disord 1994;18(6):419-28.

Klishadi R, Alikhani S, Delvari A, Alaedini F, Safaie A, Hojatzadeh E. Obesity and associated lifestyle behaviours in Iran: findings from the first national non-communicable disease risk factor surveillance survey. Public Health Nutr 2008;11(3):246-51.

Mahan LK, Escott- Stump S. Krause's food, and nutrition therapy. 12 ed. Phil: WB Saunders Co;2008.

Malekzadeh R, Mohamadnejad M, Merat S, Pourshams A, Etemadi A. Obesity pandemic: an Iranian prespective. Arch Iranian Med 2005;8(1):1-7.

Wilsgaard T, Jacobson BK, Arnessen E. Determining lifestyle correlates of body mass index using multilevel analyses: the tromso study, 1979-2001. Am J Epidemiol 2005;162(12):1179-88.

Farbakhsh F, Shafieezadeh T, Ramezankhani A, Mohammadalizadeh A, Shadnoush M. Association between body mass index (BMI) and sociodemographic factors among Iranian females aged 15-44 years. J Faculty Medicine 2007;31(2):133-9.[Persian].

Zare N, Keshavarzi S, Zeighami B. Some risk factors of obesity in rural women of Zarrindasht: using linear regression odds ratio. Tabib-E Shargh 2007;9(2):133-40.[Persian].

Al-Kandari YY. Prevalence of obesity in Kuwait and its relation to sociocultural variables. Obes Rev 2006;7(2):147-154.

McMunn A, Bartley M, Hardy R, Kuh D. Life course social roles and women's health in mid-life: causation or selection?. J Epidemiol Community Health 2006;60:484-9.

Nielsen TL, Wraae K, Brixen K, Hermann AP, Andersen M, Hagen C. Prevalence of overweight, obesity and physical in activity in 20 to 29-year-old, danish men. Relation to sociodemography, physical dysfunction and low socioeconomic status: the odense androgen study. Int J Obes (lond) 2006;30:805-15.

Yoo KY, Kim H, Hang D, Ha M, Park SK, Lee BO, et al. Female sex hormones and body mass in adolescent and post menopausal Korean women. J Korean Med Sci 1998;13:241-6.

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.

Ball K, Mishra G, Crawford D. Which aspects of socioeconomic status are related to obesity among men and women?. Int J Obes Relat Metab Disord 2002;26(4):559-65.

Published

2011-11-27

Issue

Section

Original Article(s)

How to Cite

Relationship between Body Mass Index and Demographic Features in Women. (2011). Knowledge and Health in Basic Medical Sciences, 6(1), 15-18. https://doi.org/10.22100/jkh.v6i1.89

Most read articles by the same author(s)

<< < 5 6 7 8 9 10 11 12 13 14 > >>