Lifestyle And the prevalence of non-communicable diseases risk factors in women aged 30 to 60 years in Tehran, Iran

Non-communicable diseases are major cause of female mortality. Among the most important non-communicable diseases in both sexes we can mention cardiovascular disease, cancer, diabetes and respiratory diseases and these diseases are influenced by lifestyle. Among the most important risk factors associated with obesity we can mention excess weight, insufficient physical activity, unhealthy nutrition, smoking, high blood pressure, high blood sugar and blood fat disorder. This cross-sectional analytical study was conducted on 4384 women aged from 30 to 60 Years in city, suburban (margin area) and rural areas in Tehran in 2015. This study was done with the aim to determine the problems of lifestyle and risk factors in Iranian women. Measuring anthropometric index showed that 1.6 are slim, 32.1are natural, 36.6 are overweight,29.5 are obese and 37.3 had abdominal obesity. Nutrition survey showed that 21.3 had inadequate intake of dairy product, 14 had inadequate intake of fruit, 20 had inadequate intake of vegetables, 31.4 had poor dietary habits, 40.1 had inadequate physical activity and 6.3 had tobacco use or were exposed to indirect cigarette smoke. The high prevalence of overweight and obesity in women requires effective intervention programs. � 2010 RJPBCS

Investigation of status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran

Background and Objectives: Life satisfaction is one of the important dimensions of health, which is influenced by health determinants. The aim of this study was to investigate the status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran. Methods: In this cross-sectional study, randomized multistage cluster sampling with equal clusters was done to select the participants. A total of 35,305 women aged 15-55 were enrolled in the study. Data analysis was done in two stages. In the first stage, social and economic inequalities were investigated using the concentration index and concentration curve method. In the second stage, a multilevel method was used to identify the determinants. Results: The mean life satisfaction was 12.81±4.23. The concentration index for dissatisfaction with life was-0.06 95% CI:-0.1,-0.02, indicating dissatisfaction with life in low socioeconomic groups. The results of multilevel analysis showed that age, marital status, occupation, place of living, education, and the economic class correlated with dissatisfaction with life in women (P<0.05). Conclusion: There is inequality in dissatisfaction with life. Dissatisfaction is concentrated in the poorer groups of the society and varies in different provinces. Socioeconomic variables affect inequality in satisfaction with life in women, which need to be addressed to reduce inequalities. © 2018, Iranian Epidemiological Association. All rights reserved