Socioeconomic-related inequalities in self-rated health status in Kermanshah city, Islamic Republic of Iran: a decomposition analysis

Rezaei, Satar; Hajizadeh, Mohammad; Ahmadi, Sina; Karyani, Ali Kazem; Khosravipour, Masoud; Khosravi, Farid; Latifi, Arman

doi:10.26719/emhj.20.001

Cited by 11 publications

(22 citation statements)

References 29 publications

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“…Surprisingly, our findings showed that there was no significant relationship between QOL score and demographic features such as sex, employment, and education level, while epidemiologic studies on evaluation of QOL related factors in Iran suggested that poor economic status and lower education level are the most important predictors of lower QOL in Iranian society [ 17 – 19 ]. Also, a study in western Iran showed that socioeconomic status, physical inactivity, chronic diseases and lack of health insurance coverage are the most influential factors that cause poor QOL [ 18 ]. A previous study has reported a significant negative correlation between female gender and lower educational level with the QOLIE score in epileptic patients.…”

Section: Discussionmentioning

confidence: 99%

Epilepsy and quality of life in Iranian epileptic patients

Honari

Homam

Nabipour

et al. 2021

J Patient Rep Outcomes

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Background Epilepsy is one of the most common neurological disorders with physical, emotional, and social consequences. Previous studies indicate that epilepsy symptoms can highly affect the epileptic patients’ satisfaction in life. The aim of the present study is to investigate the QOL of People with Epilepsy (PWE) in Khorasan Razavi province, Iran. Methods In this study, 100 patients were randomly selected. After confirmation of the diagnosis of epilepsy by neurologists and fulfilling the entrance criteria, patients completed the Quality of Life in Epilepsy-31 inventory (QOLIE-31) questionnaire. Finally, data was analyzed statistically by SPSS software. Results The study sample comprised 100 PWE, aged 18–74 years (34 ± 13), of whom 58 (58%) were females. Tonic-colonic seizure was the most common (60%) type of seizure. The obtained score of each subscale and the range of the QOLIE-31 total score was 16.40–79.18 with the mean of 50 (SD = 16). The energy-fatigue subscale score was significantly higher in patients younger than 35 (p = 0.018). The data analysis showed that the seizure worry subscale was significantly higher in single patients (p = 0.04). Duration of epilepsy had a positive correlation with QOLIE-31 total score (p = 0.038), and a negative relationship with energy-fatigue subscale (p = 0.018). In contrast with previous studies, which reported the frequency of the epileptic episodes as the most important predictor of QOL, our results showed no significant correlation between the number of the episodes and overall QOL score (p = 0.063). However, the number of episodes was significantly correlated with emotional well-being and cognition subscales. Furthermore, the results indicated that poor QOL score is correlated with depressed mood. Conclusion In fact, the ultimate and preferred outcome of all treatments and care interventions is the patient’s QOL. Thus, improvement of the QOL by means of obtaining more information about its contributing factors, in PWE should be one of the main goals in the patients’ treatment.

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Section: Discussionmentioning

confidence: 99%

Epilepsy and quality of life in Iranian epileptic patients

Honari

Homam

Nabipour

et al. 2021

J Patient Rep Outcomes

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“…The prevalence of poor HRQoL in Rezaei et al study (35.3 percent) was higher than the current study. They indicated that physical activity accounts for more than 14 percent of the inequality in the poor HRQoL (Rezaei et al, 2018). On the basis of these two studies, smoking has a low contribution in the inequality in poor HRQoL, but it should be noted that smoking has a reverse significant relationship with the people HRQoL (Rezaei, Karami Matin, Kazemi Karyani, Woldemichael, Khosravi, Khosravipour et al, 2017;Karyani et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Socio-demographic and behavioral factors such as sex, age, physical activity and smoking are associated with the health status and HRQoL of people (Ramezani Doroh et al, 2015). Another study in Iran showed that more than 35 percent of general population have poor HRQoL, inequality in poor HRQoL is pro-poor and wealth, physical activity and chronic diseases are the main contributors of poor HRQoL (Rezaei et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Poor health-related quality of life in Iran: decomposition analysis of affecting factors

Karyani

Rezaei

Amini

2019

IJHRH

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Purpose Poor health-related quality of life (HRQoL) is one of the important issues in the health sector. The purpose of this paper is to investigate the prevalence and socio-economic inequality in poor HRQoL in Tehran city, Iran. Design/methodology/approach In total, 562 adults were included in this cross-sectional study. The cluster sampling method was used for data collection from May to June, 2016 in Tehran city, Iran. Data on HRQoL, using EuroQol 5-dimensions questionnaire, and data on socio-economic and demographic variables were gathered. Convenience regression method was performed to measure the concentration index (CI). Decomposition analysis was performed to determine the contribution of variables on socio-economic inequality in poor HRQoL. All analyses were performed by Stata v.14. Findings The prevalence of poor HRQoL was 28.3 percent. The value of CI for “poor HRQoL” was −0.299 (95% confidence interval: −0.402 to −0.195). Socio-economic status (SES) was the largest contributor to socio-economic inequality in poor HRQoL (69.44 percent of inequality was explained by SES). Age, obesity and race had a positive contribution to socio-economic inequality in poor HRQoL among the participants. Nonetheless, sex and smoking intensity had a negative contribution to inequality in poor HRQoL. Originality/value There is little evidence about the prevalence of poor HRQoL in insured people. This study provided new evidence in this area through the investigation of socio-economic inequality in poor HRQoL and its determinants among people with health insurance in Iran using decomposition analysis.

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“…Based on the studies conducted on income-related inequality in health, SES has been reported as the most important contribution of pro-rich inequality in health. 39 , 40 We found no similar study for comparison. But one, by Emamian and colleagues, 41 reported that the concentration of the prevalence of risk factors of non-communicable diseases such as higher body mass index (BMI) was in the higher percentiles of economic rank of people.…”

Section: Discussionmentioning

confidence: 84%

Socioeconomic Inequalities in Gastroesophageal Reflux Disorder: Results from an Iranian Cohort Study

Farjam

Sharafi

Bahramali

et al. 2018

Middle East J Dig Dis

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BACKGROUND Despite progress in the health indexes in recent years, health inequalities remain as a global challenge within and between regions and countries. This study is the first to quantify the socioeconomic inequity in gastroesophageal reflux disease (GERD) using the concentration index. METHODS In this cross-sectional study, we used baseline data (7012 subjects) from the Fasa Cohort Study (the Southern Iran). The principal component analysis was used to construct socioeconomic status of the participants. The concentration index and concentration curve were used to measure socioeconomic-related inequality in GERD. Decomposition of concentration index was also done to identify the contribution of each explanatory variable to the wealth-related inequality in GERD prevalence. RESULTS The prevalence of GERD was 16.9% (95% CI: 15.9-17.7%). The overall concentration index for GERD was 0.093 (95% CI: 0.062-0.166]. Correspondingly, this figure for men and women were 0.116 (95% CI: 0.062-0.171%) and 0.091 (95% CI: 0.044-0.137%), respectively. The main contributors of socioeconomic-related inequality in GERD prevalence were socioeconomic status (64.4%), alcohol drinking (29%), and age (8.4%). CONCLUSION GERD is significantly more concentrated among richest people. There was significant socioeconomic inequality in GERD according to some individual factors. These inequalities need to be addressed by policy makers to identify the vulnerable subgroups and to reduce the disease burden in the community.

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Socioeconomic-related inequalities in self-rated health status in Kermanshah city, Islamic Republic of Iran: a decomposition analysis

Cited by 11 publications

References 29 publications

Epilepsy and quality of life in Iranian epileptic patients

Epilepsy and quality of life in Iranian epileptic patients

Poor health-related quality of life in Iran: decomposition analysis of affecting factors

Socioeconomic Inequalities in Gastroesophageal Reflux Disorder: Results from an Iranian Cohort Study

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