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. 2022 May;55(3):297-306.
doi: 10.3961/jpmph.22.051. Epub 2022 May 3.

Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran

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Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran

Farhad Pourfarzi et al. J Prev Med Public Health. 2022 May.

Abstract

Objectives: The incidence of cardiovascular disease (CVD) mortality is increasing in developing countries. This study aimed to decompose the socioeconomic inequality of CVD in Iran.

Methods: This cross-sectional population-based study was conducted on 20 519 adults who enrolled in the Ardabil Non-Communicable Disease cohort study. Principal component analysis and multivariable logistic regression were used, respectively, to estimate socioeconomic status and to describe the relationships between CVD prevalence and the explanatory variables. The relative concentration index, concentration curve, and Blinder-Oaxaca decomposition model were used to measure and decompose the socioeconomic inequality.

Results: The overall age-adjusted prevalence of CVD was 8.4% in northwest Iran. Multivariable logistic regression showed that older adults, overweight or obese adults, and people with hypertension and diabetes were more likely to have CVD. Moreover, people with low economic status were 38% more likely to have CVD than people with high economic status. The prevalence of CVD was mainly concentrated among the poor (concentration index, -0.077: 95% confidence interval, -0.103 to -0.060), and 78.66% of the gap between the poorest and richest groups was attributed to differences in the distribution of the explanatory variables included in the model.

Conclusions: The most important factors affecting inequality in CVD were old age, chronic illness (hypertension and diabetes), marital status, and socioeconomic status. This study documented stark inequality in the prevalence of CVD, wherein the poor were more affected than the rich. Therefore, it is necessary to implement policies to monitor, screen, and control CVD in poor people living in northwest Iran.

Keywords: Cardiovascular disease; Health inequities; Prevalence; Risk assessment; Socioeconomic factors.

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Conflict of interest statement

CONFLICT OF INTEREST

The authors have no conflicts of interest associated with the material presented in this paper.

Figures

Figure 1
Figure 1
The concentration curve for the prevalence of CVD among adults in the Ardabil Non-Communicable Disease cohort, where the prevalence of CVD is pro-poor and unequally distributed among the poor. CVD, cardiovascular disease; SES, socioeconomic status.
Figure 2
Figure 2
The CC prevalence of CVDs among adults in Ardabil Non-Communicable Disease cohort, separately for men and women. CC, concentration curve; CVD, cardiovascular disease; SES, socioeconomic status.

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