Relationship between Anthropometrics and Quality of Life with Depression in Employed Women Aged 25-40 Years in Yazd City

Introduction: Obesity and overweight are common among Iranian women. The relationship between these anthropometric indices, depression and quality of life has been studied before; however, there is different relationship between these variables according to age group, sex and socioeconomic status. The aim of this study was to investigate the relationship between anthropometric indices and quality of life with depression in employed women aged 25-40 years in Yazd city. Methods: This analytical cross-sectional study was carried out based on the obtained data from the first phase of YAHS, which was conducted on 10000 adult residents at the age of 20-69 years in Yazd City during 2014-2015. From the total sample of YAHS study, 275 women aged 25-40 years were employed in the public sectors whose data were analyzed.  Depression, Anxiety and Stress Scale (DASS-21) questionnaire, as well as the quality of life (SF-8) questionnaire were used. All data were analyzed using logistic regression and SPSS software ver. 16. Results: There was a significant relationship between depression and the quality of life in terms of education (P=0.01), but there was no relationship between anthropometric indices and depression in terms of education (P>0.05). There was no significant relationship between depression with quality of life (P=0.234), waist circumference and hip circumference in terms of economic status (P>0.05). However, in those with good socioeconomic status, there was a significant relationship between the variables of BMI and the possibility of depression (P=0.02). In the single group, there was a significant relationship between the waist circumference and the chance of depression (P=0.03( Conclusion: In general, by increasing BMI, depression increases. People with a lower quality of life are more likely to have depression than those with a better quality of life. Further studies are needed on the relationship between obesity and depression in women, as well as possible related factors, such as occupation, satisfaction with body shape, and sedentary lifestyle.