Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
13 "Inequality"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran
Moslem Soofi, Farid Najafi, Shahin Soltani, Behzad Karamimatin
J Prev Med Public Health. 2023;56(1):50-58.   Published online January 6, 2023
DOI: https://doi.org/10.3961/jpmph.22.373
  • 2,445 View
  • 91 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Objectives
Socioeconomic inequality in metabolic syndrome (MetS) remains poorly understood in Iran. The present study examined the extent of the socioeconomic inequalities in MetS and quantified the contribution of its determinants to explain the observed inequality, with a focus on middle-aged adults in Iran.
Methods
This cross-sectional study used data from the Ravansar Non-Communicable Disease cohort study. A sample of 9975 middle-aged adults aged 35-65 years was analyzed. MetS was assessed based on the International Diabetes Federation definition. Principal component analysis was used to construct socioeconomic status (SES). The Wagstaff normalized concentration index (CIn) was employed to measure the magnitude of socioeconomic inequalities in MetS. Decomposition analysis was performed to identify and calculate the contribution of the MetS inequality determinants.
Results
The proportion of MetS in the sample was 41.1%. The CIn of having MetS was 0.043 (95% confidence interval, 0.020 to 0.066), indicating that MetS was more concentrated among individuals with high SES. The main contributors to the observed inequality in MetS were SES (72.0%), residence (rural or urban, 46.9%), and physical activity (31.5%).
Conclusions
Our findings indicated a pro-poor inequality in MetS among Iranian middle-aged adults. These results highlight the importance of persuading middle-aged adults to be physically active, particularly those in an urban setting. In addition to targeting physically inactive individuals and those with low levels of education, policy interventions aimed at mitigating socioeconomic inequality in MetS should increase the focus on high-SES individuals and the urban population.
Summary

Citations

Citations to this article as recorded by  
  • Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study
    Guadalupe Gutiérrez-Esparza, Mireya Martinez-Garcia, Tania Ramírez-delReal, Lucero Elizabeth Groves-Miralrio, Manlio F. Marquez, Tomás Pulido, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus
    Nutrients.2024; 16(5): 612.     CrossRef
  • 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
    Epidemiology and Health.2023; 45: e2023083.     CrossRef
COVID-19: Original Article
Social Determinants of COVID-19 in Massachusetts, United States: An Ecological Study
Devan Hawkins
J Prev Med Public Health. 2020;53(4):220-227.   Published online June 24, 2020
DOI: https://doi.org/10.3961/jpmph.20.256
  • 7,498 View
  • 350 Download
  • 62 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
The aim of this study was to assess how different social determinants of health (SDoH) may be related to variability in coronavirus disease 2019 (COVID-19) rates in cities and towns in Massachusetts (MA).
Methods
Data about the total number of cases, tests, and rates of COVID-19 as of June 10, 2020 were obtained for cities and towns in MA. The data on COVID-19 were matched with data on various SDoH variables at the city and town level from the American Community Survey. These variables included information about income, poverty, employment, renting, and insurance coverage. We compared COVID-19 rates according to these SDoH variables.
Results
There were clear gradients in the rates of COVID-19 according to SDoH variables. Communities with more poverty, lower income, lower insurance coverage, more unemployment, and a higher percentage of the workforce employed in essential services, including healthcare, had higher rates of COVID-19. Most of these differences were not accounted for by different rates of testing in these cities and towns.
Conclusions
SDoH variables may explain some of the variability in the risk of COVID-19 across cities and towns in MA. Data about SDoH should be part of the standard surveillance for COVID-19. Efforts should be made to address social factors that may be putting communities at an elevated risk.
Summary

Citations

Citations to this article as recorded by  
  • Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization
    Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
    Informatics.2024; 11(1): 4.     CrossRef
  • Perceptions of COVID-19 Risk: How Did People Adapt to the Novel Risk?
    Karen Sepucha, Aaron Rudkin, Ryan Baxter-King, Annette L. Stanton, Neil Wenger, Lynn Vavreck, Arash Naeim
    Medical Decision Making.2024; 44(2): 163.     CrossRef
  • COVID‐19 mortality among Massachusetts workers and the association with telework ability, 2020
    Kathleen Fitzsimmons, Malena Hood, Kathleen Grattan, James Laing, Emily Sparer‐Fine
    American Journal of Industrial Medicine.2024; 67(4): 364.     CrossRef
  • The Social, Demographic, and Clinical Predictors of COVID-19 Severity: a Model-based Analysis of United States Veterans
    Alyssa R. Greenhouse, Danielle Richard, Anjali Khakharia, Michael Goodman, Lawrence S. Phillips, Julie A. Gazmararian
    Journal of Racial and Ethnic Health Disparities.2023;[Epub]     CrossRef
  • Inequities in COVID-19 vaccine and booster coverage across Massachusetts ZIP codes after the emergence of Omicron: A population-based cross-sectional study
    Jacob Bor, Sabrina A. Assoumou, Kevin Lane, Yareliz Diaz, Bisola O. Ojikutu, Julia Raifman, Jonathan I. Levy
    PLOS Medicine.2023; 20(1): e1004167.     CrossRef
  • Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study
    Putri Winda Lestari, Lina Agestika, Gusti Kumala Dewi
    Journal of Preventive Medicine and Public Health.2023; 56(1): 21.     CrossRef
  • Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis
    Tyler Brown, Pablo Martinez de Salazar Munoz, Abhishek Bhatia, Bridget Bunda, Ellen K Williams, David Bor, James S Miller, Amir Mohareb, Julia Thierauf, Wenxin Yang, Julian Villalba, Vivek Naranbai, Wilfredo Garcia Beltran, Tyler E Miller, Doug Kress, Kri
    BMJ Open.2023; 13(3): e061840.     CrossRef
  • Trajectories of the socioeconomic gradient of mental health: Results from the CLSA COVID-19 Questionnaire Study
    Yukiko Asada, Michel Grignon, Jeremiah Hurley, Samuel A. Stewart, Nathan K. Smith, Susan Kirkland, Jacqueline McMillan, Lauren E. Griffith, Christina Wolfson, Parminder Raina
    Health Policy.2023; 131: 104758.     CrossRef
  • Major determinant factors of pediatric COVID-19 severity; a single center study
    Heba A. Ali
    Egyptian Pediatric Association Gazette.2023;[Epub]     CrossRef
  • The price of COVID-19 risk in a public university
    Duha T. Altindag, Samuel Cole, R. Alan Seals
    Economics of Education Review.2023; 94: 102410.     CrossRef
  • Disparities in Access to Paid Sick Leave During the First Year of the COVID-19 Pandemic
    Devan Hawkins
    Journal of Occupational & Environmental Medicine.2023; 65(5): 370.     CrossRef
  • Evaluating primary and booster vaccination prioritization strategies for COVID-19 by age and high-contact employment status using data from contact surveys
    Ethan Roubenoff, Dennis Feehan, Ayesha S. Mahmud
    Epidemics.2023; 43: 100686.     CrossRef
  • Linking Sepsis with chronic arterial hypertension, diabetes mellitus, and socioeconomic factors in the United States: A scoping review
    Caitlyn D. Ahlberg, Sara Wallam, Lemya A. Tirba, Stephanie N. Itumba, Linda Gorman, Panagis Galiatsatos
    Journal of Critical Care.2023; 77: 154324.     CrossRef
  • Covıd-19 Pandemisinde Hizmete Devam Eden Kargo Sektörü Çalışanlarında İşçi Sağlığı ve İş Güvenliği (İSİG) Algısı ve Tutumları
    Alper MERT, Hakan TÜZÜN, Mustafa Necmi İLHAN, Meral SAYGUN
    Çalışma ve Toplum.2023; 2(77): 1353.     CrossRef
  • Disparities in COVID-19 Disease Incidence by Income and Vaccination Coverage — 81 Communities, Los Angeles, California, July 2020–September 2021
    John M. Masterson, Michael Luu, Kai B. Dallas, Lauren P. Daskivich, Brennan Spiegel, Timothy J. Daskivich
    MMWR. Morbidity and Mortality Weekly Report.2023; 72(26): 728.     CrossRef
  • Income inequality and its association with COVID-19 cases and deaths: a cross-country analysis in the Eastern Mediterranean region
    Mohammed Fasihul Alam, John Wildman, Hanan Abdul Rahim
    BMJ Global Health.2023; 8(11): e012271.     CrossRef
  • Racial, socioeconomic, and neighborhood characteristics in relation to COVID-19 severity of illness for adolescents and young adults
    Ayaat Dahleh, Andrew J Bean, Tricia J Johnson, Rebecca Seguin-Fowler
    PNAS Nexus.2023;[Epub]     CrossRef
  • Racial Disparity in Potential Occupational Exposure to COVID-19
    Abay Asfaw
    Journal of Racial and Ethnic Health Disparities.2022; 9(5): 1726.     CrossRef
  • Disparities in telemedicine during COVID‐19
    Alexander S. Qian, Melody K. Schiaffino, Vinit Nalawade, Lara Aziz, Fernanda V. Pacheco, Bao Nguyen, Peter Vu, Sandip P. Patel, Maria Elena Martinez, James D. Murphy
    Cancer Medicine.2022; 11(4): 1192.     CrossRef
  • Examining Social Vulnerability and the Association With COVID-19 Incidence in Harris County, Texas
    Guillermo A. Tortolero, Marcia de Oliveira Otto, Ryan Ramphul, Jose-Miguel Yamal, Alison Rector, Michael Brown, Melissa F. Peskin, Dania Mofleh, Eric Boerwinkle
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Epidemiological determinants of COVID-19 in the police personnel: A cross-sectional study
    Rupali Sabale, Gajanan Velhal, Vandana Tripathi, Saurabh Tripathi
    Journal of Family Medicine and Primary Care.2022; 11(1): 102.     CrossRef
  • Occupation and Educational Attainment Characteristics Associated With COVID-19 Mortality by Race and Ethnicity in California
    Ellicott C. Matthay, Kate A. Duchowny, Alicia R. Riley, Marilyn D. Thomas, Yea-Hung Chen, Kirsten Bibbins-Domingo, M. Maria Glymour
    JAMA Network Open.2022; 5(4): e228406.     CrossRef
  • Urban and sub-urban disparities in health outcomes among patients with COVID-19; a cross-sectional study of 234 418 patients in Iran
    Mohammad-Reza Sohrabi, Rozhin Amin, Ali Maher, Khatereh Hannani, Hossein Alimohammadi, Ali-Reza Zali
    BMC Public Health.2022;[Epub]     CrossRef
  • Projected Impact of Weight Gain During the COVID-19 Pandemic on the Future Burden of Cancer in Canada
    Rachel A. Murphy, Jaclyn Parks, Ryan Woods, Darren R. Brenner, Yibing Ruan, Parveen Bhatti
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Socioeconomic status and COVID‐19‐related cases and fatalities in the world: A cross‐sectional ecological study
    Ahmad Faramarzi, Javad Javan‐Noughabi, Sayed Ali Mousavi, Farshad Bahrami Asl, Hamidreza Shabanikiya
    Health Science Reports.2022;[Epub]     CrossRef
  • Condiciones de vulnerabilidad, sociodemográficas y clínicas de la población diagnosticada con COVID-19 incluida en la estrategia de atención primaria en salud del municipio de Mosquera 2020
    Yudy Carolina López Guzmán, Sabrina María Barros Castillo, Michell Ignacio Leal Betancourt, Héctor Fabio Restrepo Guerrero, Martha Patricia Tellez Romero
    Revista Repertorio de Medicina y Cirugía.2022;[Epub]     CrossRef
  • Changes in drug poisoning mortality before and after the COVID‐19 pandemic by occupation in Massachusetts
    Devan Hawkins, Anh Tuan Phan
    American Journal of Industrial Medicine.2022; 65(7): 556.     CrossRef
  • Income differences in COVID-19 incidence and severity in Finland among people with foreign and native background: A population-based cohort study of individuals nested within households
    Sanni Saarinen, Heta Moustgaard, Hanna Remes, Riikka Sallinen, Pekka Martikainen, Aaloke Mody
    PLOS Medicine.2022; 19(8): e1004038.     CrossRef
  • COVID‐19 in the workplace: Self‐reported source of exposure and availability of personal protective equipment by industry and occupation in Michigan
    Zoey Laskaris, Jana L. Hirschtick, Yanmei Xie, Patricia McKane, Nancy L. Fleischer
    American Journal of Industrial Medicine.2022; 65(12): 994.     CrossRef
  • Syndemic aspects between COVID-19 pandemic and social inequalities
    Jonathan Santos Apolonio, Ronaldo Teixeira da Silva Júnior, Beatriz Rocha Cuzzuol, Glauber Rocha Lima Araújo, Hanna Santos Marques, Isadora de Souza Barcelos, Luana Kauany de Sá Santos, Luciano Hasimoto Malheiro, Vinícius Lima de Souza Gonçalves, Fabrício
    World Journal of Methodology.2022; 12(5): 350.     CrossRef
  • Investigating a key structural determinant of health, racism, and related social determinants of health in Massachusetts during the COVID-19 pandemic
    Arvis E. Mortimer, Meagan J. Sabatino, Esther Boama-Nyarko, Maira Castañeda-Avila, Melissa Goulding, Clevanne Julce, Stephane Labossiere, Guadalupe Mabry, Asli McCullers, Eileen McNicholas, Ann Moormann, Elizabeth Schieber, Tubanji Walubita, Sarah Forrest
    Frontiers in Epidemiology.2022;[Epub]     CrossRef
  • Socioeconomic correlates of face mask use among pedestrians during the COVID-19 pandemic: An ecological study
    Zahra Rahimi, Mohammad Javad Mohammadi, Marzieh Araban, Gholam Abbas Shirali, Bahman Cheraghian
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Neighbourhood-level socio-demographic characteristics and risk of COVID-19 incidence and mortality in Ontario, Canada: A population-based study
    Trevor van Ingen, Kevin A. Brown, Sarah A. Buchan, Samantha Akingbola, Nick Daneman, Christine M. Warren, Brendan T. Smith, Csaba Varga
    PLOS ONE.2022; 17(10): e0276507.     CrossRef
  • Pediatric COVID-19 Health Disparities and Vaccine Equity
    Carlos R Oliveira, Kristen A Feemster, Erlinda R Ulloa
    Journal of the Pediatric Infectious Diseases Society.2022; 11(Supplement): S141.     CrossRef
  • Los determinantes sociales de la salud y su influencia en la incidencia de la COVID-19. Una revisión narrativa
    Alma Antoñanzas Serrano, Luis Andrés Gimeno Feliu
    Revista Clínica de Medicina de Familia.2022;[Epub]     CrossRef
  • Severe Acute Respiratory Syndrome Coronavirus 2 Clinical Syndromes and Predictors of Disease Severity in Hospitalized Children and Youth
    Danielle M. Fernandes, Carlos R. Oliveira, Sandra Guerguis, Ruth Eisenberg, Jaeun Choi, Mimi Kim, Ashraf Abdelhemid, Rabia Agha, Saranga Agarwal, Judy L. Aschner, Jeffrey R. Avner, Cathleen Ballance, Joshua Bock, Sejal M. Bhavsar, Melissa Campbell, Kathar
    The Journal of Pediatrics.2021; 230: 23.     CrossRef
  • COVID‐19 deaths by occupation, Massachusetts, March 1–July 31, 2020
    Devan Hawkins, Letitia Davis, David Kriebel
    American Journal of Industrial Medicine.2021; 64(4): 238.     CrossRef
  • Mainstreaming of Health Equity in Infectious Disease Control Policy During the COVID-19 Pandemic Era
    Hongjo Choi, Seong-Yi Kim, Jung-Woo Kim, Yukyung Park, Myoung-Hee Kim
    Journal of Preventive Medicine and Public Health.2021; 54(1): 1.     CrossRef
  • Therapeutic Intervention of COVID-19 by Natural Products: A Population-Specific Survey Directed Approach
    Christian Gomez, Ingrid Espinoza, Fazlay Faruque, Md. Mahbub Hasan, Khondaker Rahman, Larry Walker, Ilias Muhammad
    Molecules.2021; 26(4): 1191.     CrossRef
  • Understanding the Differences in COVID-19 Case Fatality Rates Observed Across Alabama Counties
    Arash Velayati, Devesh Dahale, Arielle Dahlin, Caleb Hamilton, Lloyd P. Provost, Paul Erwin
    Journal of Public Health Management and Practice.2021; 27(3): 305.     CrossRef
  • Targeting sedentary behavior as a feasible health strategy during COVID-19
    Gabriel Zieff, Lauren C Bates, Zachary Y Kerr, Justin B Moore, Erik D Hanson, Claudio Battaglini, Lee Stoner
    Translational Behavioral Medicine.2021; 11(3): 826.     CrossRef
  • Airports, highways and COVID-19: An analysis of spatial dynamics in Brazil
    Carlos Dornels Freire de Souza, Michael Ferreira Machado, Adeilton Gonçalves da Silva Junior, Bruno Eduardo Bastos Rolim Nunes, Rodrigo Feliciano do Carmo
    Journal of Transport & Health.2021; 21: 101067.     CrossRef
  • SARS-CoV-2 testing in North Carolina: Racial, ethnic, and geographic disparities
    Katerina Brandt, Varun Goel, Corinna Keeler, Griffin J. Bell, Allison E. Aiello, Giselle Corbie-Smith, Erica Wilson, Aaron Fleischauer, Michael Emch, Ross M. Boyce
    Health & Place.2021; 69: 102576.     CrossRef
  • COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors
    Pablo Villalobos Dintrans, Claudio Castillo, Felipe de la Fuente, Matilde Maddaleno, Karyn Morrissey
    PLOS ONE.2021; 16(5): e0250707.     CrossRef
  • Association Between Income Inequality and County-Level COVID-19 Cases and Deaths in the US
    Annabel X. Tan, Jessica A. Hinman, Hoda S. Abdel Magid, Lorene M. Nelson, Michelle C. Odden
    JAMA Network Open.2021; 4(5): e218799.     CrossRef
  • Sociodemographic determinants and clinical risk factors associated with COVID-19 severity: a cross-sectional analysis of over 200,000 patients in Tehran, Iran
    Mohammad-Reza Sohrabi, Rozhin Amin, Ali Maher, Ayad Bahadorimonfared, Shahriar Janbazi, Khatereh Hannani, Ali-Asghar Kolahi, Ali-Reza Zali
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Variation in Employment in Healthcare Occupations and County-Level Differences in COVID-19 Cases in the United States of America
    Dong Le, Devan Hawkins
    Journal of Occupational & Environmental Medicine.2021; 63(7): 629.     CrossRef
  • Association of Lower Socioeconomic Status and SARS-CoV-2 Positivity in Los Angeles, California
    Lao-Tzu Allan-Blitz, Cameron Goldbeck, Fred Hertlein, Isaac Turner, Jeffrey D. Klausner
    Journal of Preventive Medicine and Public Health.2021; 54(3): 161.     CrossRef
  • Association of Socioeconomic Characteristics With Disparities in COVID-19 Outcomes in Japan
    Yuki Yoshikawa, Ichiro Kawachi
    JAMA Network Open.2021; 4(7): e2117060.     CrossRef
  • Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts
    Koen F. Tieskens, Prasad Patil, Jonathan I. Levy, Paige Brochu, Kevin J. Lane, M. Patricia Fabian, Fei Carnes, Beth M. Haley, Keith R. Spangler, Jessica H. Leibler
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Social Determinants of Health Influencing the New Zealand COVID-19 Response and Recovery: A Scoping Review and Causal Loop Diagram
    Sudesh Sharma, Mat Walton, Suzanne Manning
    Systems.2021; 9(3): 52.     CrossRef
  • Factors associated with the difference between the incidence and case-fatality ratio of coronavirus disease 2019 by country
    Jeehyun Kim, Kwan Hong, Sujin Yum, Raquel Elizabeth Gómez Gómez, Jieun Jang, Sun Hee Park, Young June Choe, Sukhyun Ryu, Dae Won Park, Young Seok Lee, Heeyoung Lee, Dong Hyun Kim, Dong-Hyun Kim, Byung Chul Chun
    Scientific Reports.2021;[Epub]     CrossRef
  • Factors Associated With SARS-CoV-2 Infection in Bogotá, Colombia: Results From a Large Epidemiological Surveillance Study
    Andrea Ramirez Varela, Luis Jorge Hernandez Florez, Guillermo Tamayo-Cabeza, Sandra Contreras-Arrieta, Silvia Restrepo Restrepo, Rachid Laajaj, Giancarlo Buitrago Gutierrez, Yenny Paola Rueda Guevara, Yuldor Caballero-Díaz, Martha Vives Florez, Elkin Osor
    The Lancet Regional Health - Americas.2021; 2: 100048.     CrossRef
  • The Effects of Income Level on Susceptibility to COVID-19 and COVID-19 Morbidity/Mortality: A Nationwide Cohort Study in South Korea
    So Young Kim, Dae Myoung Yoo, Chanyang Min, Hyo Geun Choi
    Journal of Clinical Medicine.2021; 10(20): 4733.     CrossRef
  • Non-medical Interventions to Reduce the Burden of Psychosocial and Economic Impacts of COVID-19 Pandemic: A Scope Review
    Sajjad Azmand, Hassan Joulaei, Maryam Fatemi
    Shiraz E-Medical Journal.2021;[Epub]     CrossRef
  • The lost productivity cost of absenteeism due to COVID-19 in health care workers in Iran: a case study in the hospitals of Mashhad University of Medical Sciences
    Ahmad Faramarzi, Javad Javan-Noughabi, Seyed Saeed Tabatabaee, Ali Asghar Najafpoor, Aziz Rezapour
    BMC Health Services Research.2021;[Epub]     CrossRef
  • A systematic review of racial/ethnic and socioeconomic disparities in COVID-19
    Ahmad Khanijahani, Shabnam Iezadi, Kamal Gholipour, Saber Azami-Aghdash, Deniz Naghibi
    International Journal for Equity in Health.2021;[Epub]     CrossRef
  • The influence of sex, gender, age, and ethnicity on psychosocial factors and substance use throughout phases of the COVID-19 pandemic
    Lori A. Brotto, Kyle Chankasingh, Alexandra Baaske, Arianne Albert, Amy Booth, Angela Kaida, Laurie W. Smith, Sarai Racey, Anna Gottschlich, Melanie C. M. Murray, Manish Sadarangani, Gina S. Ogilvie, Liisa Galea, Kimberly Page
    PLOS ONE.2021; 16(11): e0259676.     CrossRef
  • Differences in COVID-19 Risk by Race and County-Level Social Determinants of Health among Veterans
    Hoda S. Abdel Magid, Jacqueline M. Ferguson, Raymond Van Cleve, Amanda L. Purnell, Thomas F. Osborne
    International Journal of Environmental Research and Public Health.2021; 18(24): 13140.     CrossRef
  • Social determinants of health and COVID-19 infection in Brazil: an analysis of the pandemic
    Alexandre Medeiros de Figueiredo, Daniela Cristina Moreira Marculino de Figueiredo, Luciano Bezerra Gomes, Adriano Massuda, Eugenia Gil-García, Rodrigo Pinheiro de Toledo Vianna, Antonio Daponte
    Revista Brasileira de Enfermagem.2020;[Epub]     CrossRef
  • Call for Action to Address Equity and Justice Divide During COVID-19
    Sonu Bhaskar, Aarushi Rastogi, Koravangattu Valsraj Menon, Beena Kunheri, Sindhu Balakrishnan, Jeremy Howick
    Frontiers in Psychiatry.2020;[Epub]     CrossRef
  • Massachusetts general hospital Covid-19 registry reveals two distinct populations of hospitalized patients by race and ethnicity
    Ingrid V. Bassett, Virginia A. Triant, Bridget A. Bunda, Caitlin A. Selvaggi, Daniel J. Shinnick, Wei He, Frances Lu, Bianca C. Porneala, Tingyi Cao, Steven A. Lubitz, James B. Meigs, John Hsu, Andrea S. Foulkes, Marlene Camacho-Rivera
    PLOS ONE.2020; 15(12): e0244270.     CrossRef
Original Articles
An Exploratory Study of Health Inequality Discourse Using Korean Newspaper Articles: A Topic Modeling Approach
Jin-Hwan Kim
J Prev Med Public Health. 2019;52(6):384-392.   Published online October 25, 2019
DOI: https://doi.org/10.3961/jpmph.19.221
  • 17,559 View
  • 91 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study aimed to explore the health inequality discourse in the Korean press by analyzing newspaper articles using a relatively new content analysis technique.
Methods
This study used the search term “health inequality” to collect articles containing that term that were published between 2000 and 2018. The collected articles went through pre-processing and topic modeling, and the contents and temporal trends of the extracted topics were analyzed.
Results
A total of 1038 articles were identified, and 5 topics were extracted. As the number of studies on health inequality has increased over the past 2 decades, so too has the number of news articles regarding health inequality. The extracted topics were public health policies, social inequalities in health, inequality as a social problem, healthcare policies, and regional health gaps. The total number of occurrences of each topic increased every year, and the trend observed for each theme was influenced by events related to its contents, such as elections. Finally, the frequency of appearance of each topic differed depending on the type of news source.
Conclusions
The results of this study can be used as preliminary data for future attempts to address health inequality in Korea. To make addressing health inequality part of the public agenda, the media’s perspective and discourse regarding health inequality should be monitored to facilitate further strategic action.
Summary
Korean summary
건강불평등 해소는 한국사회의 중요한 목표이다. 이 연구에서는 건강불평등을 다룬 신문기사를 추출, 토픽모델링 기법을 적용해 공공의료, 사회경제적 요인에 따른 건강불평등, 사회문제로 불평등, 보건의료정책, 지역건강격차의 다섯 가지 주제를 도출하였다. 언론이 건강불평등을 다루는 방식은 학술적 연구에서 건강불평등을 다루는 방식과는 유사하였으나, 건강취약지역의 저소득층의 인식과는 차이가 있었다.

Citations

Citations to this article as recorded by  
  • Regional Health Disparities in Hypertension-Related Hospitalization of Hypertensive Patients: A Nationwide Population-Based Nested Case-Control Study
    Woo-Ri Lee, Jun Hyuk Koo, Ji Yun Jeong, Min Su Kim, Ki-Bong Yoo
    International Journal of Public Health.2023;[Epub]     CrossRef
Effects of Iranian Economic Reforms on Equity in Social and Healthcare Financing: A Segmented Regression Analysis
Hamed Zandian, Amirhossein Takian, Arash Rashidian, Mohsen Bayati, Telma Zahirian Moghadam, Satar Rezaei, Alireza Olyaeemanesh
J Prev Med Public Health. 2018;51(2):83-91.   Published online February 6, 2018
DOI: https://doi.org/10.3961/jpmph.17.050
  • 10,654 View
  • 199 Download
  • 11 Crossref
AbstractAbstract PDF
Objectives
One of the main objectives of the Targeted Subsidies Law (TSL) in Iran was to improve equity in healthcare financing. This study aimed at measuring the effects of the TSL, which was implemented in Iran in 2010, on equity in healthcare financing. Methods: Segmented regression analysis was applied to assess the effects of TSL implementation on the Gini and Kakwani indices of outcome variables in Iranian households. Data for the years 1977-2014 were retrieved from formal databases. Changes in the levels and trends of the outcome variables before and after TSL implementation were assessed using Stata version 13. Results: In the 33 years before the implementation of the TSL, the Gini index decreased from 0.401 to 0.381. The Gini index and its intercept significantly decreased to 0.362 (p<0.001) 5 years after the implementation of the TSL. There was no statistically significant change in the gross domestic product or inflation rate after TSL implementation. The Kakwani index significantly increased from -0.020 to 0.007 (p<0.001) before the implementation of the TSL, while we observed no statistically significant change (p=0.81) in the Kakwani index after TSL implementation. Conclusions: The TSL reform, which was introduced as part of an economic development plan in Iran in 2010, led to a significant reduction in households’ income inequality. However, the TSL did not significantly affect equity in healthcare financing. Hence, while measuring the long-term impact of TSL is paramount, healthcare decision-makers need to consider the efficacy of the TSL in order to develop plans for achieving the desired equity in healthcare financing.
Summary

Citations

Citations to this article as recorded by  
  • Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019
    Abdoreza mousavi, Farhad lotfi, Samira Alipour, Aliakbar Fazaeli, Mohsen Bayati
    Journal of Preventive Medicine and Public Health.2024; 57(1): 65.     CrossRef
  • Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran
    Farhad Pourfarzi, Telma Zahirian Moghadam, Hamed Zandian
    Journal of Preventive Medicine and Public Health.2022; 55(3): 297.     CrossRef
  • Inequality in Private Health Care Expenditures: A 36-Year Trend Study of Iranian Households
    Ehsan Aghapour, Mehdi Basakha, Seyed Hossein Mohaqeqi Kamal, Abolghasem Pourreza
    Journal of Preventive Medicine and Public Health.2022; 55(4): 379.     CrossRef
  • Establishing optimal illuminance for pedestrian reassurance using segmented regression
    BA Portnov, S Fotios, R Saad, D Kliger
    Lighting Research & Technology.2022; : 147715352210806.     CrossRef
  • Socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran: a Blinder-Oaxaca decomposition
    Farhad Pourfarzi, Satar Rezaei, Reza Malekzadeh, Arash Etemadi, Telma Zahirian Moghadam, Hamed Zandian
    Journal of Diabetes & Metabolic Disorders.2022; 21(2): 1519.     CrossRef
  • Assessing unmet health-care needs of the elderly in west of Iran: A case study
    Bakhtiar Piroozi, Farman Zahir Abdullah, Amjad Mohamadi-Bolbanabad, Hossein Safari, Mohammad Amerzadeh, Satar Rezaei, Ghobad Moradi, Masoumeh Ansari, Abdorrahim Afkhamzadeh, Jamshid Gholami
    International Journal of Human Rights in Healthcare.2021; 14(5): 452.     CrossRef
  • Measuring inequalities in the selected indicators of National Health Accounts from 2008 to 2016: evidence from Iran
    Mohammad Hossein Mehrolhassani, Vahid Yazdi-Feyzabadi, Marzieh Lashkari
    Cost Effectiveness and Resource Allocation.2020;[Epub]     CrossRef
  • Analysis of the Health Sector Evolution Plan from the perspective of equity in healthcare financing: a multiple streams model
    Telma Zahirian Moghadam, Pouran Raeissi, Mehdi Jafari-Sirizi
    International Journal of Human Rights in Healthcare.2019; 12(2): 124.     CrossRef
  • The effect of Iranian health system reform plan on payments and costs of coronary artery bypass surgery in private hospitals of Iran
    Rasoul Tabari-Khomeiran, Sajad Delavari, Satar Rezaei, Enayatollah Homaie Rad, Mostafa Shahmoradi
    International Journal of Human Rights in Healthcare.2019; 12(3): 208.     CrossRef
  • Explaining the challenges of academic professional ethics training from the perspective of faculty members at Ardabil University of Medical Sciences: a qualitative study
    Shahram Habibzadeh, Hamed Zandian, Hasan Edalatkhah, Mohammad Mehrtak
    International Journal of Human Rights in Healthcare.2019; 12(2): 138.     CrossRef
  • Equity in healthcare financing: a case of Iran
    Faride Sadat Jalali, Abdosaleh Jafari, Mohsen Bayati, Peivand Bastani, Ramin Ravangard
    International Journal for Equity in Health.2019;[Epub]     CrossRef
Changes in Contribution of Causes of Death to Socioeconomic Mortality Inequalities in Korean Adults
Kyunghee Jung-Choi, Young-Ho Khang, Hong-Jun Cho
J Prev Med Public Health. 2011;44(6):249-259.   Published online November 14, 2011
DOI: https://doi.org/10.3961/jpmph.2011.44.6.249
  • 13,959 View
  • 81 Download
  • 20 Crossref
AbstractAbstract PDF
Objectives

This study aimed to analyze long-term trends in the contribution of each cause of death to socioeconomic inequalities in all-cause mortality among Korean adults.

Methods

Data were collected from death certificates between 1990 and 2004 and from censuses in 1990, 1995, and 2000. Age-standardized death rates by gender were produced according to education as the socioeconomic position indicator, and the slope index of inequality was calculated to evaluate the contribution of each cause of death to socioeconomic inequalities in all-cause mortality.

Results

Among adults aged 25-44, accidental injuries with transport accidents, suicide, liver disease and cerebrovascular disease made relatively large contributions to socioeconomic inequalities in all-cause mortality, while, among adults aged 45-64, liver disease, cerebrovascular disease, transport accidents, liver cancer, and lung cancer did so. Ischemic heart disease, a very important contributor to socioeconomic mortality inequality in North America and Western Europe, showed a very low contribution (less than 3%) in both genders of Koreans.

Conclusions

Considering the contributions of different causes of death to absolute mortality inequalities, establishing effective strategies to reduce socioeconomic inequalities in mortality is warranted.

Summary

Citations

Citations to this article as recorded by  
  • Educational inequalities in adult mortality: a systematic review and meta-analysis of the Asia Pacific region
    Kathryn Christine Beck, Mirza Balaj, Lorena Donadello, Talal Mohammad, Hanne Dahl Vonen, Claire Degail, Kristoffer Eikemo, Anna Giouleka, Indrit Gradeci, Celine Westby, Kam Sripada, Magnus Rom Jensen, Solvor Solhaug, Emmanuela Gakidou, Terje Andreas Eikem
    BMJ Open.2022; 12(8): e059042.     CrossRef
  • Socioeconomic Disparities in Cardiovascular Health in South Korea
    Chi-Young Lee, Eun-Ok Im
    Journal of Cardiovascular Nursing.2021; 36(1): 8.     CrossRef
  • Mainstreaming of Health Equity in Infectious Disease Control Policy During the COVID-19 Pandemic Era
    Hongjo Choi, Seong-Yi Kim, Jung-Woo Kim, Yukyung Park, Myoung-Hee Kim
    Journal of Preventive Medicine and Public Health.2021; 54(1): 1.     CrossRef
  • Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort
    Hye-Eun Lee, Masayoshi Zaitsu, Eun-A Kim, Ichiro Kawachi
    Safety and Health at Work.2020; 11(1): 41.     CrossRef
  • Mortality inequalities by occupational class among men in Japan, South Korea and eight European countries: a national register-based study, 1990–2015
    Hirokazu Tanaka, Wilma J Nusselder, Matthias Bopp, Henrik Brønnum-Hansen, Ramune Kalediene, Jung Su Lee, Mall Leinsalu, Pekka Martikainen, Gwenn Menvielle, Yasuki Kobayashi, Johan P Mackenbach
    Journal of Epidemiology and Community Health.2019; 73(8): 750.     CrossRef
  • Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review
    Chi-Young Lee, Yong-Hwan Lee
    Journal of Preventive Medicine and Public Health.2019; 52(5): 281.     CrossRef
  • Forty years of economic growth and plummeting mortality: the mortality experience of the poorly educated in South Korea
    Jinwook Bahk, John W Lynch, Young-Ho Khang
    Journal of Epidemiology and Community Health.2017; 71(3): 282.     CrossRef
  • Increased breast cancer mortality only in the lower education group: age-period-cohort effect in breast cancer mortality by educational level in South Korea, 1983-2012
    Jinwook Bahk, Sung-Mi Jang, Kyunghee Jung-Choi
    International Journal for Equity in Health.2017;[Epub]     CrossRef
  • Effects of Periodontal Disease on Cardio-Cerebrovascular Disease: A Focus on Personal Income and Social Deprivation
    Min-Young Kim, Hosung Shin
    Journal of Dental Hygiene Science.2017; 17(4): 375.     CrossRef
  • Joint Symposium of Korean Cancer Association & UICC-ARO—Cross-boundary cancer studies: cancer and Universal Health Coverage (UHC) in Asia
    Eun-Cheol Park, Norie Kawahara, Shinjiro Nozaki, Hasbullah Thabrany, Shunya Yoshimi, Sohee Park, Duk Hyoung Lee, Hideyuki Akaza, Jae Kyung Roh
    Japanese Journal of Clinical Oncology.2017; 47(9): 889.     CrossRef
  • Impact of Childhood Socioeconomic Position on Self‐Rated Health Trajectories of South Korean Adults
    Joan P. Yoo, Min Sang Yoo
    Asian Social Work and Policy Review.2016; 10(1): 142.     CrossRef
  • Mortality rates by occupation in Korea: a nationwide, 13-year follow-up study
    Hye-Eun Lee, Hyoung-Ryoul Kim, Yun Kyung Chung, Seong-Kyu Kang, Eun-A Kim
    Occupational and Environmental Medicine.2016; 73(5): 329.     CrossRef
  • Educational Inequality in Female Cancer Mortality in Korea
    Mi-Hyun Kim, Kyunghee Jung-Choi, Hyoeun Kim, Yun-Mi Song
    Journal of Korean Medical Science.2015; 30(1): 1.     CrossRef
  • The population attributable fraction of low education for mortality in South Korea with improvement in educational attainment and no improvement in mortality inequalities
    Dohee Lim, Kyoung Ae Kong, Hye Ah Lee, Won Kyung Lee, Su Hyun Park, Sun Jung Baik, Hyesook Park, Kyunghee Jung-Choi
    BMC Public Health.2015;[Epub]     CrossRef
  • Sex Differences Associated With Hepatitis B Virus Surface Antigen Seropositivity Unwareness in Hepatitis B Virus Surface Antigen-positive Adults: 2007‐2012 Korea National Health and Nutrition Examination Survey
    Suk-Yong Jang, Sung-In Jang, Hong-Chul Bae, Jaeyong Shin, Eun-Cheol Park
    Journal of Preventive Medicine and Public Health.2015; 48(2): 74.     CrossRef
  • Decomposition of educational differences in life expectancy by age and causes of death among South Korean adults
    Kyunghee Jung-Choi, Young-Ho Khang, Hong-Jun Cho, Sung-Cheol Yun
    BMC Public Health.2014;[Epub]     CrossRef
  • Trends in income-related health inequalities in self-assessed health in Korea, 1998–2011
    Jong Won Min
    Global Public Health.2014; 9(9): 1053.     CrossRef
  • Cancer Control and the Communication Innovation in South Korea: Implications for Cancer Disparities
    Minsoo Jung
    Asian Pacific Journal of Cancer Prevention.2013; 14(6): 3411.     CrossRef
  • Socioeconomic inequalities in health status in Korea
    Kyunghee Jung-Choi, Yu-Mi Kim
    Journal of the Korean Medical Association.2013; 56(3): 167.     CrossRef
  • Difference of Area-based deprivation and Education on Cerebrovascular Mortality in Korea
    Jeoung-Ha Sim, Dong-Choon Ahn, Mi-A Son
    Korean Journal of Health Policy and Administration.2012; 22(2): 163.     CrossRef
Research Support, Non-U.S. Gov'ts
Gender, Professional and Non-Professional Work, and the Changing Pattern of Employment-Related Inequality in Poor Self-Rated Health, 1995-2006 in South Korea.
Il Ho Kim, Young Ho Khang, Sung Il Cho, Heeran Chun, Carles Muntaner
J Prev Med Public Health. 2011;44(1):22-31.
DOI: https://doi.org/10.3961/jpmph.2011.44.1.22
  • 5,960 View
  • 101 Download
  • 24 Crossref
AbstractAbstract PDF
OBJECTIVES
We examined gender differential changes in employment-related health inequalities according to occupational position (professional/nonprofessional) in South Korea during the last decade. METHODS: Data were taken from four rounds of Social Statistical Surveys of South Korea (1995, 1999, 2003, and 2006) from the Korean National Statistics Office. The total study population was 55435 male and 33 913 female employees aged 25-64. Employment arrangements were divided into permanent, fixed-term, and daily employment. RESULTS: After stratification according to occupational position (professional/nonprofessional) and gender, different patterns in employment - related health inequalities were observed. In the professional group, the gaps in absolute and relative employment inequalities for poor self-rated health were more likely to widen following Korea's 1997 economic downturn. In the nonprofessional group, during the study period, graded patterns of employment-related health inequalities were continuously observed in both genders. Absolute health inequalities by employment status, however, decreased among men but increased among women. In addition, a remarkable increase in relative health inequalities was found among female temporary and daily employees (p = 0.009, < 0.001, respectively), but only among male daily employees (p = 0.001). Relative employment-related health inequalities had clearly widened for female daily workers between 2003 and 2006 (p = 0.047). The 1997 Korean economic downturn, in particular, seemingly stimulated a widening gap in employment health inequalities. CONCLUSIONS: Our study revealed that whereas absolute health inequalities in relation to employment status increased in the professional group, relative employment-related health inequalities increased in the nonprofessional group, especially among women. In view of the high concentration of female nonstandard employees, further monitoring of inequality should consider gender specific patterns according to employee's occupational and employment status.
Summary

Citations

Citations to this article as recorded by  
  • Association between temporary employment and current smoking and change in smoking behaviors: A prospective cohort study from South Korea (2009–2018)
    Seong-Uk Baek, Min-Seok Kim, Myeong-Hun Lim, Taeyeon Kim, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Journal of Epidemiology.2024;[Epub]     CrossRef
  • Initiatives Addressing Precarious Employment and Its Effects on Workers’ Health and Well-Being: A Systematic Review
    Virginia Gunn, Bertina Kreshpaj, Nuria Matilla-Santander, Emilia F. Vignola, David H. Wegman, Christer Hogstedt, Emily Q. Ahonen, Theo Bodin, Cecilia Orellana, Sherry Baron, Carles Muntaner, Patricia O’Campo, Maria Albin, Carin Håkansta
    International Journal of Environmental Research and Public Health.2022; 19(4): 2232.     CrossRef
  • Changes in cause-specific mortality trends across occupations in working-age Japanese women from 1980 to 2015: a cross-sectional analysis
    Bibha Dhungel, Kuniyasu Takagi, Shijan Acharya, Koji Wada, Stuart Gilmour
    BMC Women's Health.2022;[Epub]     CrossRef
  • A Longitudinal Evaluation of Risk Factors and Interactions for the Development of Nonspecific Neck Pain in Office Workers in Two Cultures
    Deokhoon Jun, Venerina Johnston, Steven M. McPhail, Shaun O’Leary
    Human Factors: The Journal of the Human Factors and Ergonomics Society.2021; 63(4): 663.     CrossRef
  • Initiatives addressing precarious employment and its effects on workers’ health and well-being: a protocol for a systematic review
    Virginia Gunn, Carin Håkansta, Emilia Vignola, Nuria Matilla-Santander, Bertina Kreshpaj, David H. Wegman, Christer Hogstedt, Emily Q. Ahonen, Carles Muntaner, Sherry Baron, Theo Bodin
    Systematic Reviews.2021;[Epub]     CrossRef
  • Comparison of occupational health problems of employees and self-employed individuals who work in different fields
    Jungsun Park, Boyoung Han, Yangho Kim
    Archives of Environmental & Occupational Health.2020; 75(2): 98.     CrossRef
  • Nonstandard workers and differential occupational safety and health vulnerabilities
    Jungsun Park, Boyoung Han, Jong‐shik Park, Eun Ji Park, Yangho Kim
    American Journal of Industrial Medicine.2019; 62(8): 701.     CrossRef
  • Relationship of Occupational Category With Risk of Physical and Mental Health Problems
    Jaeouk Ahn, Nam-Soo Kim, Byung-Kook Lee, Jungsun Park, Yangho Kim
    Safety and Health at Work.2019; 10(4): 504.     CrossRef
  • Cross-cultural adaptation and validation of the Depression, Anxiety and Stress Scale-21 (DASS-21) in the Korean working population
    Deokhoon Jun, Venerina Johnston, Jun-Mo Kim, Shaun O’Leary
    Work.2018; 59(1): 93.     CrossRef
  • Self‐employed individuals performing different types of work have different occupational safety and health problems
    Jungsun Park, Boyoung Han, Yangho Kim
    American Journal of Industrial Medicine.2018; 61(8): 681.     CrossRef
  • Nonstandard Employment and Health in South Korea: The Role of Gender and Family Status
    Sojung Lim, Sun Young Jeon, Joongbaeck Kim, Hyeyoung Woo
    Sociological Perspectives.2018; 61(6): 973.     CrossRef
  • “Blue flags”, development of a short clinical questionnaire on work-related psychosocial risk factors - a validation study in primary care
    Charlotte Post Sennehed, Gunvor Gard, Sara Holmberg, Kjerstin Stigmar, Malin Forsbrand, Birgitta Grahn
    BMC Musculoskeletal Disorders.2017;[Epub]     CrossRef
  • Association of Occupational Class with Healthcare Utilization among Economically Active Korean Adults from 2006 to 2014: A Repeated Cross-Sectional Study of Koreans Aged 19 Years and Older
    Jae-Hyun Kim, Kwang Soo Lee, Yunhwan Lee, Eun-Cheol Park
    Korean Journal of Family Medicine.2017; 38(6): 365.     CrossRef
  • Gender Differences in the Effects of Job Control and Demands on the Health of Korean Manual Workers
    HeeJoo Kim, Ji Hye Kim, Yeon Jin Jang, Ji Young Bae
    Health Care for Women International.2016; 37(3): 290.     CrossRef
  • Economic shocks and health resilience: lessons from the Russian Federation
    Vladimir S. Gordeev, Yevgeniy Goryakin, Martin McKee, David Stuckler, Bayard Roberts
    Journal of Public Health.2016; 38(4): e409.     CrossRef
  • Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
    Jae-Hyun Kim, Sang Gyu Lee, Kwang-Soo Lee, Sung-In Jang, Kyung-Hee Cho, Eun-Cheol Park
    BMJ Open.2016; 6(4): e009538.     CrossRef
  • Working conditions, psychosocial environmental factors, and depressive symptoms among wage workers in South Korea
    Minsung Sohn, Mankyu Choi, Minsoo Jung
    International Journal of Occupational and Environmental Health.2016; 22(3): 209.     CrossRef
  • Scoping review: national monitoring frameworks for social determinants of health and health equity
    Leo Pedrana, Marina Pamponet, Ruth Walker, Federico Costa, Davide Rasella
    Global Health Action.2016; 9(1): 28831.     CrossRef
  • Trade liberalization, social policies and health: an empirical case study
    Courtney McNamara
    Globalization and Health.2015;[Epub]     CrossRef
  • A Systematic Review on Health Resilience to Economic Crises
    Ketevan Glonti, Vladimir S. Gordeev, Yevgeniy Goryakin, Aaron Reeves, David Stuckler, Martin McKee, Bayard Roberts, Daisuke Nishi
    PLOS ONE.2015; 10(4): e0123117.     CrossRef
  • The impact of economic crises on social inequalities in health: what do we know so far?
    Amaia Bacigalupe, Antonio Escolar-Pujolar
    International Journal for Equity in Health.2014;[Epub]     CrossRef
  • Socioeconomic inequalities in health status in Korea
    Kyunghee Jung-Choi, Yu-Mi Kim
    Journal of the Korean Medical Association.2013; 56(3): 167.     CrossRef
  • Self-rated health and its determinants in Japan and South Korea
    J.H. Park, K.S. Lee
    Public Health.2013; 127(9): 834.     CrossRef
  • Health Status and Affecting Factors related to Job among Korean Women Employees
    Eun-Young Hong, Sang-Dol Kim
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(9): 4107.     CrossRef
Associations of Income and Wealth with Health Status in the Korean Elderly.
Bo Hyun Park, Minsoo Jung, Tae Jin Lee
J Prev Med Public Health. 2009;42(5):275-282.
DOI: https://doi.org/10.3961/jpmph.2009.42.5.275
  • 5,375 View
  • 75 Download
  • 20 Crossref
AbstractAbstract PDF
OBJECTIVES
This study aimed to verify the association between wealth or income level and health status after adjusting for other socio-economic position (SEP) indicators among Korean adults aged 45 and over. METHODS: Data were obtained from the 1st wave of Korean Longitudinal Study of Ageing (households: 6,171, persons: 10,254). We used self-rated health status and activities of daily living (ADLs) as dependent variables. Explanatory variables included both net wealth measured by savings, immovables, the other valuated assets and total income including pay, transfer, property and so on. Binary logistic regression was conducted to examine the relationships. Also, in order to determine the relative health inequality across economic groups, we estimated the relative index of inequality (RII). RESULTS: The inequality of health status was evident among various wealth and income groups. The wealthiest group (5th quintile) was much healthier than the poorest group, and this differential increased with age. Likewise, higher income was associated with better health status among the elderly. However, these effects, as measured by the odds ratio and RII, showed that wealth was more important in determining health status of elderly people. CONCLUSIONS: This study suggests that economic capability plays a significant role in determining the health status and other health-related problems among the elderly. Particularly, our results show that health status of the aged is related more closely to the individual's wealth than income.
Summary

Citations

Citations to this article as recorded by  
  • PERCEIVED INCOME ADEQUACY, FAMILY SUPPORT, FINANCIAL ANXIETY, AND TAX NON-COMPLIANCE OF INDONESIAN WORKING WOMEN DURING THE COVID-19 PANDEMIC
    Priandhita Sukowidyanti Asmoro
    Business: Theory and Practice.2023; 24(1): 123.     CrossRef
  • Household Wealth and Individuals’ Mental Health: Evidence from the 2012–2018 China Family Panel Survey
    Rui Zhang, Chenglei Zhang, Jiahui Xia, Dawei Feng, Shaoyong Wu
    International Journal of Environmental Research and Public Health.2022; 19(18): 11569.     CrossRef
  • Does financial literacy influence preventive health check-up behavior in Japan? a cross-sectional study
    Sumeet Lal, Trinh Xuan Thi Nguyen, Abdul-Salam Sulemana, Mostafa Saidur Rahim Khan, Yoshihiko Kadoya
    BMC Public Health.2022;[Epub]     CrossRef
  • Association of social determinants of health with frailty, cognitive impairment, and self-rated health among older adults
    Vanessa Tan, Cynthia Chen, Reshma Aziz Merchant, Alok Ranjan
    PLOS ONE.2022; 17(11): e0277290.     CrossRef
  • The effect of income, family and socio‐religious affiliations on self‐rated health of the aged in India
    Shashi Kant Srivastava, Ashish Rastogi
    Journal of Public Affairs.2021;[Epub]     CrossRef
  • Desigualdades sociales en salud en población mayor: revisión de los indicadores empleados en España
    Isabel Mosquera, Mónica Machón, Itziar Vergara, Isabel Larrañaga, Unai Martín
    Gaceta Sanitaria.2020; 34(3): 297.     CrossRef
  • Relationship between diet quality and sarcopenia in elderly Koreans: 2008–2011 Korea National Health and Nutrition Examination Survey
    Woori Na, Jiyu Kim, Bong Hee Chung, Dai-Ja Jang, Cheongmin Sohn
    Nutrition Research and Practice.2020; 14(4): 352.     CrossRef
  • Factors Associated with Perceived Health Status of the Vietnamese Older People
    Long Thanh Giang, Dat Van Duong, Yeop Jeong Kim
    Journal of Population Ageing.2019; 12(1): 95.     CrossRef
  • A Survey of Asset Poverty Among Older Adults of Hong Kong
    Lih-Shing Chan, Kee-Lee Chou
    Social Indicators Research.2018; 138(2): 605.     CrossRef
  • Quality of life and national pension receipt after retirement among older adults
    Yeong Jun Ju, Kyu‐Tae Han, Hyo Jung Lee, Joo Eun Lee, Jae Woo Choi, In Seon Hyun, Eun‐Cheol Park
    Geriatrics & Gerontology International.2017; 17(8): 1205.     CrossRef
  • Female disability disadvantage: a global perspective on sex differences in physical function and disability
    FELICIA V. WHEATON, EILEEN M. CRIMMINS
    Ageing and Society.2016; 36(06): 1136.     CrossRef
  • Trends, correlates, and disease patterns of antipsychotic use among elderly persons in Taiwan
    Chia‐Lun Kuo, I.‐Chia Chien, Ching‐Heng Lin
    Asia-Pacific Psychiatry.2016; 8(4): 278.     CrossRef
  • Does relationship satisfaction and financial aid from offspring influence the quality of life of older parents?: a longitudinal study based on findings from the Korean longitudinal study of aging, 2006–2012
    Yeong Jun Ju, Kyu-Tae Han, Tae-Hoon Lee, Woorim Kim, Juyeong Kim, Eun-Cheol Park
    Health and Quality of Life Outcomes.2016;[Epub]     CrossRef
  • Obesity Explains Gender Differences in the Association Between Education Level and Metabolic Syndrome in South Korea
    Ki Dong Ko, BeLong Cho, Won Chul Lee, Hae Won Lee, Hyun Ki Lee, Bum Jo Oh
    Asia Pacific Journal of Public Health.2015; 27(2): NP630.     CrossRef
  • Functional Independence of Community-Dwelling Older Adults in China and South Korea
    Othelia Eun-Kyoung Lee, Qingwen Xu, Jungui Lee
    Journal of Social Service Research.2014; 40(4): 440.     CrossRef
  • The Incidence of Stroke by Socioeconomic Status, Age, Sex, and Stroke Subtype: A Nationwide Study in Korea
    Su Ra Seo, Su Young Kim, Sang-Yi Lee, Tae-Ho Yoon, Hyung-Geun Park, Seung Eun Lee, Chul-Woung Kim
    Journal of Preventive Medicine and Public Health.2014; 47(2): 104.     CrossRef
  • How do life-course trajectories of socioeconomic position affect quality of life in patients with diabetes mellitus?
    Hye Ah Lee, Ko Eun Lee, Yool Won Jeong, Jaeseon Ryu, Minkyung Kim, Jung Won Min, Young Sun Hong, Kyunghee Jung-Choi, Hyesook Park
    Quality of Life Research.2014; 23(4): 1337.     CrossRef
  • Cross-national insights into the relationship between wealth and wellbeing: a comparison between Australia, the United States of America and South Korea
    SARANG KIM, KERRY A. SARGENT-COX, DAVINA J. FRENCH, HAL KENDIG, KAARIN J. ANSTEY
    Ageing and Society.2012; 32(1): 41.     CrossRef
  • Gender differences in the association between socioeconomic status (SES) and depressive symptoms in older adults
    Joung Hwan Back, Yunhwan Lee
    Archives of Gerontology and Geriatrics.2011; 52(3): e140.     CrossRef
  • Does Socioeconomic Inequality in Health Persist among Older People Living in Resource-Poor Urban Slums?
    Jane C. Falkingham, Gloria Chepngeno-Langat, Catherine Kyobutungi, Alex Ezeh, Maria Evandrou
    Journal of Urban Health.2011; 88(S2): 381.     CrossRef
English Abstracts
Health Inequality Measurement in Korea Using EuroQol-5 Dimension Valuation Weights.
Hosung Shin, Dongjin Kim
J Prev Med Public Health. 2008;41(3):165-172.
DOI: https://doi.org/10.3961/jpmph.2008.41.3.165
  • 4,771 View
  • 65 Download
  • 6 Crossref
AbstractAbstract PDF
OBJECTIVES
Despite various government initiatives, including the expansion of national health insurance coverage, health inequality has been a key health policy issue in South Korea during the past decade. This study describes and compares the extent of the total health inequality and the income-related health inequality over time among Korean adults. METHODS: This study employs the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys (KNHANESs). The self-assessed health (SAH) ordinal responses, measured on a five-point scale, rescaled to cardinal values to measure the health inequalities with using interval regression. The boundaries of each threshold for the interval regression analysis were obtained from the empirical distribution of the EuroQol-5 Dimension (EQ-5D) valuation weights estimated from the 2005 KNHANES. The final model predicting the individuals' health status included age, gender, educational attainment, occupation, income, and the regional prosperity index. The concentration index was used to measure and analyze the health inequality. RESULTS: The KNHANES data showed an unequal distribution of the total health inequality in favor of the higher income groups, and this is getting worse over time (0.0327 in 1998, 0.0393 in 2001 and 0.0924 in 2005). The income-related health inequality in 2005 was 0.0278, indicating that 30.1% of the total health inequality can be attributed to income. CONCLUSIONS: The findings indicate there are health inequalities across the sociodemographic and income groups despite the recent government's efforts. Further research is warranted to investigate what potential policy actions are necessary to decrease the health inequality in Korea.
Summary

Citations

Citations to this article as recorded by  
  • Medical cost trends under national health insurance benefit extension in Republic of Korea
    Jinha An, Sukil Kim
    The International Journal of Health Planning and Management.2020; 35(6): 1351.     CrossRef
  • Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys
    Marc Martí-Pastor, Angels Pont, Mónica Ávila, Olatz Garin, Gemma Vilagut, Carlos G. Forero, Yolanda Pardo, Ricard Tresserras, Antonia Medina-Bustos, Oriol Garcia-Codina, Juan Cabasés, Luis Rajmil, Jordi Alonso, Montse Ferrer
    Population Health Metrics.2018;[Epub]     CrossRef
  • The Influence of Depression on the Life Satisfaction of the Elderly with Hypertension
    Hun-Hee Lee, Jung-Seo Lee, Gyeong-Nam Lee
    Journal of the Korea Society of Computer and Information.2016; 21(8): 117.     CrossRef
  • The Association between Economic Status and Depressive Symptoms: An Individual and Community Level Approach
    Sun-Jin Jo, Hyeon Woo Yim, Myeong Hee Bang, Mi Ok Lee, Tae-Youn Jun, Jin-Sook Choi, Myung-Soo Lee, Won-Chul Lee, Yong-Moon Park
    Psychiatry Investigation.2011; 8(3): 194.     CrossRef
  • Gender, Socioeconomic Status, and Self-Rated Health in a Transitional Middle-Income Setting
    Sam-ang Seubsman, Matthew James Kelly, Vasoontara Yiengprugsawan, Adrian C. Sleigh
    Asia Pacific Journal of Public Health.2011; 23(5): 754.     CrossRef
  • Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey
    Oriol Cunillera, Ricard Tresserras, Luis Rajmil, Gemma Vilagut, Pilar Brugulat, Mike Herdman, Anna Mompart, Antonia Medina, Yolanda Pardo, Jordi Alonso, John Brazier, Montse Ferrer
    Quality of Life Research.2010; 19(6): 853.     CrossRef
Introduction of Health Impact Assessment and Healthy Cities as a Tool for Tackling Health Inequality.
Weon Seob Yoo, Keon Yeop Kim, Kwang Wook Koh
J Prev Med Public Health. 2007;40(6):439-446.
DOI: https://doi.org/10.3961/jpmph.2007.40.6.439
  • 4,264 View
  • 65 Download
  • 7 Crossref
AbstractAbstract PDF
In order to reduce the health inequalities within a society changes need to be made in broad health determinants and their distribution in the population. It has been expected that the Health impact assessment(HIA) and Healthy Cities can provide opportunities and useful means for changing social policy and environment related with the broad health determinants in developed countries. HIA is any combination of procedures or methods by which a proposed 4P(policy, plan, program, project) may be judged as to the effects it may have on the health of a population. Healthy city is one that is continually creating and improving those physical and social environments and expanding those community resources which enable people to mutually support each other in performing all the functions of life and in developing to their maximum potential. In Korea, social and academic interest regarding the HIA and Healthy Cities has been growing recently but the need of HIA and Healthy Cities in the perspective of reducing health inequality was not introduced adequately. So we reviewed the basic concepts and methods of the HIA and Healthy Cities, and its possible contribution to reducing health inequalities. We concluded that though the concepts and methods of the HIA and Healthy Cities are relatively new and still in need of improvement, they will be useful in approaching the issue of health inequality in Korea.
Summary

Citations

Citations to this article as recorded by  
  • Trends, Issues and Future Directions of Urban Health Impact Assessment Research: A Systematic Review and Bibliometric Analysis
    Wenbing Luo, Zhongping Deng, Shihu Zhong, Mingjun Deng
    International Journal of Environmental Research and Public Health.2022; 19(10): 5957.     CrossRef
  • Engaging Diverse Community Groups to Promote Population Health through Healthy City Approach: Analysis of Successful Cases in Western Pacific Region
    Albert Lee, Keiko Nakamura
    International Journal of Environmental Research and Public Health.2021; 18(12): 6617.     CrossRef
  • Rapid Growth—What’s Next for Gender Mainstreaming? Analyzing the Gender Impact Assessment System in Korea
    Dool-Soon Kim, Minah Kang
    Journal of Women, Politics & Policy.2016; 37(2): 168.     CrossRef
  • Demonstrative development of City Health Profile in Healthy City Project
    Baek-Vin Lim, Kwang-Wook Koh, Hee-Suk Kim, Yong-Hyun Shin
    Korean Journal of Health Education and Promotion.2014; 31(3): 109.     CrossRef
  • Health Impact Assessment of Free Immunization Program in Jinju City, Korea
    Keon Yeop Kim, So Youn Jeon, Man Joong Jeon, Kwon Ho Lee, Sok Goo Lee, Dongjin Kim, Eunjeong Kang, Sang Geun Bae, Jinhee Kim
    Journal of Preventive Medicine and Public Health.2012; 45(4): 267.     CrossRef
  • Health Impact Assessment as a Strategy for Intersectoral Collaboration
    Eunjeong Kang, Hyun Jin Park, Ji Eun Kim
    Journal of Preventive Medicine and Public Health.2011; 44(5): 201.     CrossRef
  • The Characteristics of Healthy City Project in Korea
    Gil-Ho Jung, Keon-Yeop Kim, Bak-Ju Na
    Journal of agricultural medicine and community health.2009; 34(2): 155.     CrossRef
Review
Why Do Health Inequalities Matter?.
Young Jeon Shin, Myoung Hee Kim
J Prev Med Public Health. 2007;40(6):419-421.
DOI: https://doi.org/10.3961/jpmph.2007.40.6.419
  • 4,303 View
  • 88 Download
  • 1 Crossref
AbstractAbstract PDF
OBJECTIVES
The aim of this study was to introduce the concept of health inequalities, and to discuss the underlying assumptions and ethical backgrounds associated with the issue, as well as the theoretical and practical implications of health inequalities. METHODS: Based on a review of the literature, we summarize the concepts of health inequalities and inequities and discuss the underlying assumptions and ethical backgrounds associated with these issues from the view of social justice theory. We then discuss the theoretical and practical implications of health inequalities. RESULTS: Health inequality involves ethical considerations, such as judgments on fairness, and it could provide a sensitive barometer to reflect the fairness of social arrangements. Discussion on health inequalities could deepen our understanding of the social etiology of health and provide a basis for the development of comprehensive and integrative social policies. CONCLUSIONS: Health equity is not a social goal in and of itself, but should be considered as a part of a broader effort to seek social justice.
Summary

Citations

Citations to this article as recorded by  
  • A Study on Factors Affecting Cancer Mortality in Busan
    Su-Kyung Song, Hye-Sook Kim, Kyoung-Min Lim
    The Korean Journal of Health Service Management.2014; 8(4): 81.     CrossRef
English Abstracts
The Effects of the Parents' Social Class on Infant and Child Death among 1995-2004 Birth Cohort in Korea.
Mia Son, Juhwan Oh, Yong Jun Choi, Jeong Ok Kong, Jisook Choi, Eunjeong Jin, Sung Tae Jung, Se Jin Park
J Prev Med Public Health. 2006;39(6):469-476.
  • 2,354 View
  • 43 Download
AbstractAbstract PDF
OBJECTIVES
To investigate the effect of parents' social class on infant and child mortality rates among the birth cohort, for the period of transition to and from the Koran economic crisis 1995-2004. METHODS: All births reported to between 1995 and 2004 (n=5,711,337) were analyzed using a Cox regression model, to study the role of the social determinants of parents in infant and child mortality. The results were adjusted for the parents' age, education and occupation, together with mother's obstetrical history. RESULTS: The crude death rate among those under 10 was 3.71 per 1000 births (21,217 deaths among 5,711,337 births) between 1995 and 2004. The birth cohorts from lower educated parents less than elementary school showed higher mortality rates compared with those from higher educated parents over university level (HR:3.0 (95%CI:2.8-3.7) for father and HR:3.4 (95%CI:3.3-4.5) for mother). The mother's education level showed a stronger relationship with mortality among the birth cohort than that of the fathers'. The gaps in infant mortality rates by parents' social class, and educational level became wider from 1995 to 2004. In particular, the breadth of the existing gap between higher and lower parents' social class groups has dramatically widened since the economic crisis of 1998. DISCUSSIONS: This study shows that social differences exist in infant and child mortality rates. Also, the gap for the infant mortality due to social class has become wider since the economic crisis of 1998.
Summary
The Relationship between Regional Material Deprivation and the Standardized Mortality Ratio of the Community Residents Aged 15-64 in Korea.
Baek Geun Jeong, Kap Yeol Jung, Joon Youn Kim, Ok Ryun Moon, Yong Hwan Lee, Young Seoub Hong, Tae Ho Yoon
J Prev Med Public Health. 2006;39(1):46-52.
  • 2,786 View
  • 62 Download
AbstractAbstract PDF
OBJECTIVES
This study was performed to investigate the relationship between regional material deprivation and the standardized mortality ratios(SMRs) of community residents aged 15-64 in Korea. METHODS: SMRs were investigated using the registered death data from 1995 to 2000 that was obtained from the Korean National Statistics Office with the denominators being drawn from the 1995 to 2000 census. Material deprivation was measured using the Townsend score that was calculated from the 1995 to 2000 census. The relationship between the regional material deprivation and the SMRs of the community residents aged 15-64 was investigated by using ANOVA, Spearman's rank correlation analysis and Pearson's correlation analysis. The trends in mortality inequality were investigated using the concentration index. RESULTS: On the ANOVA, the SMRs of the men and women residents in the least deprived areas were the smallest and those in the most deprived areas were the largest. Spearman's rank correlation analysis, Pearson's correlation analysis and the concentration index revealed that significant positive relationships exist between the regional material deprivation and the SMRs of the community residents aged 15-64. CONCLUSIONS: This study suggests that there are mortality inequalities among the communities in Korea and part of this difference is due to the material deprivation of the community. Strategies aimed at reducing mortality inequalities among the communities will be needed to address economic inequalities. Further studies are needed to explore the mechanisms of how the regional deprivation influences on health and how the other factors of the community influence on the health of the community residents.
Summary
Changes in Mortality Inequality in Relation to the South Korean Economic Crisis: Use of Area-based Socioeconomic Position.
Young Ho Khang, Sung Cheol Yun, In A Hwang, Moo Song Lee, Sang Il Lee, Min Woo Jo, Min Jung Lee
J Prev Med Public Health. 2005;38(3):359-365.
  • 2,145 View
  • 61 Download
AbstractAbstract PDF
OBJECTIVE
An abrupt economic decline may widen the socioeconomic differences in health between the advantaged and disadvantaged in a society. The aim of this study was to examine whether the South Korean economic crisis of 1997-98 affected the socioeconomic inequality from all-causes and from cause-specific mortality between 1995 and 2001. METHODS: Population denominators were obtained from the registration population data, with the number of death (numerators) calculated from raw death certificate data. The indicator used to assess the geographic socioeconomic position was the per capita regional tax revenue. Administrative districts (Si-Gun-Gu) were ranked according to this socioeconomic measure, and divided into equal population size quintiles on the basis of this ranking. The sex- and 5-year age-specific numbers of the population and deaths were used to compute the sex- and age-adjusted mortality rates (via direct standardization method), standardized mortality ratios (via indirect standardization methods) and relative indices of inequality (RII) (via Poisson regression). RESULTS: Geographic inequalities from all-causes of mortality, as measured by RII, did not increase as a result of the economic crisis (from 1998-2001). This was true for both sexes and all age groups. However, the cause-specific analyses showed that socioeconomic inequalities in mortalities from external causes were affected by South Korean economic crisis. For males, the RIIs for mortalities from transport accidents and intentional self-harm increased between 1995 and 2001. For females, the RII for mortality from intentional self-harm increased during the same period. CONCLUSIONS: The South Korean economic crisis widened the geographic inequality in mortalities from major external causes. This increased inequality requires social discourse and counter policies with respect to the rising health inequalities in the South Korean society.
Summary

JPMPH : Journal of Preventive Medicine and Public Health