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Decomposition of socioeconomic inequalities in glaucoma knowledge in Taiwan
Chiun-Ho Hou, Christy Pu
Epidemiol Health. 2024;46:e2024004.   Published online December 5, 2023
DOI: https://doi.org/10.4178/epih.e2024004
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  • 106 Download
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
Glaucoma knowledge is strongly associated with medication adherence and preventive behavior. Studies have frequently reported socioeconomic inequalities in glaucoma knowledge. This study aimed to decompose such inequalities. Decomposition analysis enables the design of policies directly targeting the underlying causes of inequality.
METHODS
We performed a cross-sectional survey from January 1, 2019 to June 30, 2019, at the departments of ophthalmology of 2 medical centers belonging to a hospital chain in northern Taiwan. Socioeconomic inequalities in glaucoma knowledge were ranked based on 3 aspects of socioeconomic status (SES): (1) education, (2) income, and (3) self-perceived financial status. The concentration index was calculated and decomposed using decomposition analysis. Elasticity and marginal effects were estimated for each decomposed factor.
RESULTS
In total, 1,203 patients completed the survey. Both measures of glaucoma knowledge and overall glaucoma knowledge score significantly contributed to the progressivity of knowledge inequalities (pro-high-SES inequalities). The concentration index for overall knowledge score with respect to education was 0.166 (p<0.001). Both objective and subjective measures of SES were associated with pro-high-SES inequalities. Our decomposition analysis revealed that demographic factors and attitudinal factors such as the level of concern regarding developing glaucoma contributed significantly to SES-based inequalities in glaucoma knowledge.
CONCLUSIONS
Our decomposition analysis provided empirical evidence regarding the underlying causes of SES-based inequalities in glaucoma knowledge. Efforts to improve glaucoma knowledge should consider specific factors that drive SES-based inequalities, such as age, sex, and concern about vision health, to ultimately achieve low SES-based inequalities.
Summary
Key Message
This study investigates the relationship between glaucoma knowledge and socioeconomic status (SES) inequalities, and the underlying causes of these disparities. The study concludes that understanding the drivers of SES-based inequalities in glaucoma knowledge, like age, gender, and concerns about vision health, is crucial. This understanding can guide efforts to improve glaucoma awareness and address SES-based disparities in knowledge, aiming to reduce these inequalities.
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
Epidemiol Health. 2023;45:e2023083.   Published online September 3, 2023
DOI: https://doi.org/10.4178/epih.e2023083
  • 5,184 View
  • 104 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
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.
Summary
Key Message
This study sheds light on the presence of socioeconomic inequalities in metabolic syndrome (MetS) among Iranian Kurds. Lower socioeconomic status (SES) is associated with a higher prevalence of MetS and its components. Addressing these socioeconomic factors is crucial to reduce health inequalities. Recognizing this association helps us understand the social determinants of health and design targeted interventions. Policymakers and health managers should prioritize developing strategies to reduce these inequalities in MetS across different age groups, genders, and educational levels, with a particular focus on vulnerable populations like women and the elderly.

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