OBJECTIVE: Endometriosis, a common hormone-dependent chronic inflammatory disease causes various symptoms including pelvic pain, which affect the physical and psychological quality of life in women of reproductive age. The present study aimed to assess the quality of life of Iranian women with endometriosis using the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) questionnaire. METHODS: This cross-sectional study performed in Tehran between October 2014 and July 2016 included 70 Iranian women with endometriosis. The Iranian version of the WHOQOL-BREF questionnaire was used to measure quality of life in these women. The Pearson's correlation coefficient, the paired and the independent t-tests, and a linear regression model were used to statistically analyze the data using the SPSS software version 16.0. RESULTS: The total mean score of the WHOQOL-BREF questionnaire was 80.58. The highest and the lowest mean scores were observed in the environmental (28.15) and the physical health domains (10.59), respectively. A multiple linear regression model (backward method) showed that insurance coverage was associated with the total WHOQOL-BREF score, whereas age, insurance coverage, and income level were associated with domains 1 through 4, respectively (P < 0.05). CONCLUSION: Endometriosis affects various aspects of the quality of life of Iranian women who therefore require holistic management focused on both, the physical and psychological aspects of treatment.
Cross-Sectional Studies ; Endometriosis* ; Female ; Global Health* ; Humans ; Insurance Coverage ; Linear Models ; Pelvic Pain ; Quality of Life ; World Health Organization*

OBJECTIVES: Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset. METHODS: Data from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35–70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression. RESULTS: The prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40–49, 50–59 and over 60 were 2.58 (2.20–3.69), 5.80 (4.51–7.48) and 8.72 (6.67–11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55–4.90) and 2.34 (2.07–2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively. CONCLUSION: The current study showed that old age and a family history were strong predictors for diabetes mellitus.
Blood Glucose ; Body Mass Index ; Cohort Studies ; Demography ; Developed Countries ; Diabetes Mellitus ; Female ; Humans ; Lipoproteins ; Logistic Models ; Male ; Odds Ratio ; Prevalence ; Statistics as Topic ; Triglycerides