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

Karyani, Ali Kazemi; Rezaei, Satar; Amini, Saeed

doi:10.1108/ijhrh-05-2018-0036

Cited by 4 publications

(5 citation statements)

References 33 publications

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“…In line with a study conducted by Kazemi Karyani et al [ 38 ], the prevalence of poor SRH was higher in the “other group (divorced, separated and widowed/widower)” compared to married and single subjects. Several studies have evaluated the relationship between marital status and SRH.…”

Section: Discussionsupporting

confidence: 88%

“…Previous studies conducted in Iran found a positive relationship between having medical insurance and HRQoL [ 28 , 50 ]. However, another study in Iran showed that having medical insurance had no significant effect on the poor HRQoL [ 38 ]; therefore, more studies are required to determine the relationship between HRQoL and having health insurance.…”

Section: Discussionmentioning

confidence: 99%

“…On the contrary, if CC falls below the line of equity, it indicates that the concentration index has a positive value and poor SRH is concentrated in the affluent group [ 24 , 35 , 36 ]. Concentration index was calculated using the following formula ( 37 , 38 ): Where is the outcome variable in the person, shows the fractional rank in the SES distribution for the person in the sample and µ the mean of the outcome variable.…”

Section: Methodsmentioning

confidence: 99%

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Socioeconomic status and self-rated health in Iran: findings from a general population study

Motlagh

Piri

Asadi

et al. 2022

Cost Eff Resour Alloc

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Background There are large gaps in health and well-being among different groups of the society. Socioeconomic factors play a significant role in determining the health status of the society. The present study was conducted to examine socioeconomic inequality in health status among the adult population of Khorramabad city, the capital of Lorestan province, wester part of Iran. Methods A cross-sectional study was conducted on 1348 participants selected through multistage sampling. A valid and reliable questionnaire was used for data collection. The wealth index as an indicator of the socioeconomic status (SES) was used to categorize the subjects in terms of the SES. The concentration index and concentration curve was used to measure socioeconomic inequity in poor self-rated health (SRH) of population. Finally, after determine the status of inequity in poor SRH, a decomposition analysis approach was used to identify the most important determinants of this inequity. Results The prevalence of poor SRH was 18.91% in all subjects, 38.52% in the lowest SES group, and 11.15% in the highest SES group. The value of the concentration index for poor SRH was − 0.3243 (95% CI − 0.3996 to − 0.2490), indicating that poor SRH was more concentrated among the poor. The results of decomposition analysis showed that SES (41.2%), higher body mass index (28.6%) and lack of physical activity (26.9%) were the most important factors associated with the concentration of poor SRH in the poor groups. Conclusion Identification of socioeconomic factors affecting on health status is the first step for proper policymaking. Policymakers and health system managers at the national and subnational levels can use the results of this study as well as other similar domestic studies to design and implement proper interventions to promote equity and improve the health status of population.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Socioeconomic status and self-rated health in Iran: findings from a general population study

Motlagh

Piri

Asadi

et al. 2022

Cost Eff Resour Alloc

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“…This current study revealed an CI of 0.0103 for the EQ-5D UI, which is slightly lower than that reported in the Korea (0.035 for EQ-5D UI) in 2012,49 and much lower than those in Chile (0.063 for EQ-5D UI) in 2017 and Iran (0.299 for EQ-5D UI) in 2018 50 51. The CI revealed in this study is also lower than those reported in previous studies in China: 0.024 in urban and 0.048 in rural areas in 2015,22 and 0.022 in Tibet in 2014 26.…”

Section: Discussioncontrasting

confidence: 77%

Decomposing income-related inequality in health-related quality of life in mainland China: a national cross-sectional study

Yao,

Zhang,

et al. 2023

BMJ Glob Health

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IntroductionHealth equity is an important indicator measuring social development and solidarity. However, there is a paucity in nationwide studies into the inequity in health-related quality of life (HRQoL) in mainland China, in particular using the most recent data measuring HRQoL using the EuroQol 5-Dimension-5 Level (EQ-5D-5L). This study aimed to address the gap in the literature by estimating and decomposing income-related inequality of the utility index (UI) of EQ-5D-5L in mainland China.MethodsData were extracted from the Psychology and Behaviour Investigation of Chinese Residents (2022), including 19 738 respondents over the age of 18 years. HRQoL was assessed by the UI of the EQ-5D-5L. Concentration index (CI) was calculated to measure the degree of income-related inequality in the UI. The contributions of individual, behavioural and context characteristics to the CI were estimated using the Wagstaff decomposition method.ResultsThe CI of the EQ-5D-5L UI reached 0.0103, indicating pro-rich inequality in HRQoL. Individual characteristics made the greatest contribution to the CI (57.68%), followed by context characteristics (0.60%) and health behaviours (−3.28%). The contribution of individual characteristics was mainly attributable to disparities in the enabling (26.86%) and need factors (23.86%), with the chronic conditions (15.76%), health literacy (15.56%) and average household income (15.24%) as the top three contributors. Educational level (−5.24%) was the top negative contributor, followed by commercial (−1.43%) and basic medical insurance (−0.56%). Higher inequality was found in the least developed rural (CI=0.0140) and western regions (CI=0.0134).ConclusionPro-rich inequality in HRQoL is evident in mainland China. Targeted interventions need to prioritise measures that aim at reducing disparities in chronic conditions, health literacy and income.

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“…A principal component analysis (PCA) method was used to construct a socioeconomic status (SES) index of respondents in the Cohort Study [27]. Available information on infrastructure facilities (source of drinking water, sanitation facility), housing condition (e.g.…”

Section: Methodsmentioning

confidence: 99%

Socioeconomic gradient in physical activity: findings from the PERSIAN cohort study

et al. 2019

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Background The level of socioeconomic-related inequality in physical activity in Iran is largely unknown. This study investigates socioeconomic-related inequality in poor-physical activity (PPA) among Iranian adults. Methods A total of 129,257 adult participants enrolled in the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Cohort were included in this study. Physical activity of adults was measured using metabolic equivalent rates (METs). Physical activity less than 41 METs/hour/day was considered PPA. The Concentration index (C) was used to quantify socioeconomic-related inequality in PPA. Moreover, the C was decomposed to identify the relative contribution of explanatory variables to inequality in PPA. Results There were significant regional variations in physical activity level among Iranian adults (29.8–76.5%). The positive value of C (0.098, 95% CI = 0.092 to 0.104) suggested that the higher concentration of PPA among higher socioeconomic status (SES) adults in Iran which was consistently observed in all cohort sites. Conclusions The higher prevalence of PPA among Iranian adults, especially, women and older adults, warrant further public health attention. Since PPA is concentrated more among the high-SES population in Iran, strategies for the promotion of physical activity should focus more on economically well-off population.

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

Cited by 4 publications

References 33 publications

Socioeconomic status and self-rated health in Iran: findings from a general population study

Socioeconomic status and self-rated health in Iran: findings from a general population study

Decomposing income-related inequality in health-related quality of life in mainland China: a national cross-sectional study

Socioeconomic gradient in physical activity: findings from the PERSIAN cohort study

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