1.Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults
Pardis MOHAMMADZADEH ; Farhad MORADPOUR ; Bijan NOURI ; Farideh MOSTAFAVI ; Farid NAJAFI ; Ghobad MORADI
Epidemiology and Health 2023;45(1):e2023083-
OBJECTIVES:
The worldwide incidence of metabolic syndrome (MetS) has increased in recent decades. In this study, we investigated the socioeconomic inequalities associated with MetS and its components in a sample of the Iranian Kurdish population.
METHODS:
We used data from 3,996 participants, aged 35 years to 70 years, from the baseline phase of the Dehgolan Prospective Cohort Study (February 2018 to March 2019). The concentration index and concentration curve were used to measure inequality and the Blinder-Oaxaca decomposition method was used to examine the contribution of various determinants to the observed socioeconomic inequality in MetS and its components.
RESULTS:
The prevalence of MetS was 34.44% (95% confidence interval [CI], 32.97 to 35.93). The prevalence of MetS was 26.18% for those in the highest socioeconomic status (SES), compared with 40.51% for participants in the lowest SES. There was a significant negative concentration index for MetS (C=-0.13; 95% CI, -0.16 to -0.09), indicating a concentration of MetS among participants with a lower SES. The most prevalent component was abdominal obesity (59.14%) with a significant negative concentration index (C=-0.21; 95% CI, -0.25 to -0.18). According to decomposition analysis, age, gender, and education were the highest contributing factors to inequality in MetS and its components.
CONCLUSIONS
This study showed socioeconomic inequality in MetS. People with a low SES were more likely to have MetS. Therefore, policymakers and health managers need to develop appropriate strategies to reduce these inequalities in MetS across age groups, genders, and education levels, especially among women and the elderly.
2.Application of the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) to patients with cataract.
Ali GHOLAMI ; Mahmood Tavakoli ARAGHI ; Fatemeh SHAMSABADI ; Mahdiye BAYAT ; Fatemeh DABIRKHANI ; Farhad MORADPOUR ; Kamyar MANSORI ; Yousef MORADI ; Abdolhalim RAJABI
Epidemiology and Health 2016;38(1):e2016005-
OBJECTIVES: Cataract is a prevalent disease in the elderly, and negatively influences patients' quality of life. This study was conducted to study the application of the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) to patients with cataract. METHODS: In this cross-sectional study, 300 patients with cataract were studied in Neyshabur, Iran from July to October 2014. The Iranian version of the WHOQOL-BREF questionnaire was used to measure their quality of life. Cronbach's alpha coefficient, Pearson's correlation coefficient, the paired t-test, the independent t-test, and a linear regression model were used to analyze the data in SPSS version 16.0 (SPSS Inc., Chicago, IL, USA). RESULTS: The mean age of the participants was 68.11±11.98 years, and most were female (53%). The overall observed Cronbach's alpha coefficient for the WHOQOL-BREF was 0.889, ranging from 0.714 to 0.810 in its four domains. The total mean score of the respondents on the WHOQOL-BREF was 13.19. The highest and lowest mean scores were observed in the social relationship domain (14.11) and the physical health domain (12.29), respectively. A backward multiple linear regression model found that duration of disease and marital status were associated with total WHOQOL scores, while age, duration of disease, marital status, and income level were associated with domains one through four, respectively (p<0.05). CONCLUSIONS: The reliability analysis conducted in this study indicated that the WHOQOL-BREF scale exhibited an acceptable degree of internal consistency in the measurement of the quality of life of patients with cataract. It was also found that the patients with cataract who were surveyed reported a relatively moderate quality of life.
Aged
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Cataract*
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Cross-Sectional Studies
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Female
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Global Health*
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Humans
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Iran
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Linear Models
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Marital Status
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Quality of Life
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Reproducibility of Results
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Surveys and Questionnaires
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World Health Organization*