Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
2 "Health status disparities"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Review
Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review
Chi-Young Lee, Yong-Hwan Lee
J Prev Med Public Health. 2019;52(5):281-291.   Published online August 14, 2019
DOI: https://doi.org/10.3961/jpmph.19.094
  • 5,812 View
  • 183 Download
  • 4 Crossref
AbstractAbstract PDF
Objectives
The validity of instruments measuring socioeconomic position (SEP) has been a major area of concern in research on cardiovascular health disparities. The purpose of this systematic review is to identify the current status of the methods used to measure SEP in research on cardiovascular health disparities in Korea and to provide directions for future research.
Methods
Relevant articles were obtained through electronic database searches with manual searches of reference lists and no restriction on the date of publication. SEP indicators were categorized into compositional, contextual, composite, and life-course measures.
Results
Forty-eight studies published from 2003 to 2018 satisfied the review criteria. Studies utilizing compositional measures mainly relied on a limited number of SEP parameters. In addition, these measures hardly addressed the time-varying and subjective features of SEP. Finding valid contextual measures at the organizational, community, and societal levels that are appropriate to Korea’s context remains a challenge, and these are rarely modeled simultaneously. Studies have rarely focused on composite and life-course measures.
Conclusions
Future studies should develop and utilize valid compositional and contextual measures and appraise social patterns that vary across time, place, and culture using such measures. Studies should also consider multilevel influences, adding a focus on the interactions between different levels of intertwined SEP factors to advance the design of research. More attention should be given to composite and life-course measures.
Summary

Citations

Citations to this article as recorded by  
  • Differences in office-based personal space perception between British and Korean populations
    Mike Richardson, Crescent Jicol, Gerald Taulo, Jaehyun Park, Hyun K. Kim, Michael J. Proulx, Alexandra A. de Sousa
    Frontiers in Psychology.2023;[Epub]     CrossRef
  • Self-Reported Dental Caries by Mexican Elementary and Middle-School Schoolchildren in the Context of Socioeconomic Indicators: A National Ecological Study
    Juan Fernando Casanova-Rosado, Alejandro José Casanova-Rosado, Mirna Minaya-Sánchez, Juan Alejandro Casanova-Sarmiento, José Luis Robles-Minaya, Sonia Márquez-Rodríguez, Mariana Mora-Acosta, Rosalina Islas-Zarazúa, María de Lourdes Márquez-Corona, Leticia
    Children.2021; 8(4): 289.     CrossRef
  • Socioeconomic Classes among Oldest-Old Women in South Korea: A Latent Class Analysis
    Chiyoung Lee, Jee-Seon Yi
    International Journal of Environmental Research and Public Health.2021; 18(24): 13183.     CrossRef
  • A Two-step Clustering Approach for Measuring Socioeconomic Factors Associated with Cardiovascular Health among Older Adults in South Korea
    Chi-Young Lee
    Korean Journal of Adult Nursing.2020; 32(6): 551.     CrossRef
Original Article
What Explains Socioeconomic Inequality in Health-related Quality of Life in Iran? A Blinder-Oaxaca Decomposition
Satar Rezaei, Mohammad Hajizadeh, Yahya Salimi, Ghobad Moradi, Bijan Nouri
J Prev Med Public Health. 2018;51(5):219-226.   Published online August 7, 2018
DOI: https://doi.org/10.3961/jpmph.18.012
  • 6,261 View
  • 208 Download
  • 4 Crossref
AbstractAbstract PDF
Objectives
This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran.
Methods
This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups.
Results
The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect.
Conclusions
We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.
Summary

Citations

Citations to this article as recorded by  
  • Why is there a gap in self-rated health among people with hypertension in Zambia? A decomposition of determinants and rural‒urban differences
    Chris Mweemba, Wilbroad Mutale, Felix Masiye, Peter Hangoma
    BMC Public Health.2024;[Epub]     CrossRef
  • Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study
    Sulmaz Ghahramani, Maryam Hadipour, Payam Peymani, Sahar Ghahramani, KamranB Lankarani
    Journal of Education and Health Promotion.2023; 12(1): 287.     CrossRef
  • What explains the large disparity in child stunting in the Philippines? A decomposition analysis
    Valerie Gilbert T Ulep, Jhanna Uy, Lyle Daryll Casas
    Public Health Nutrition.2022; 25(11): 2995.     CrossRef
  • Health-related quality of life by household income in Chile: a concentration index decomposition analysis
    Rodrigo Severino, Manuel Espinoza, Báltica Cabieses
    International Journal for Equity in Health.2022;[Epub]     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health