IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p8888-d868681.html
   My bibliography  Save this article

Socioeconomic Inequalities in the Prevalence of Diabetes in Argentina: A Repeated Cross-Sectional Study in Urban Women and Men

Author

Listed:
  • Carlos Rojas-Roque

    (Health Technology Assessment and Health Economics Department, Institute for Clinical Effectiveness and Health Policy, Buenos Aires C1414CPV, Argentina)

  • Akram Hernández-Vásquez

    (Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru)

  • Diego Azañedo

    (Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima 15067, Peru)

  • Guido Bendezu-Quispe

    (Centro de Investigación Epidemiológica en Salud Global, Universidad Privada Norbert Wiener, Lima 15046, Peru)

Abstract

This study measured the socioeconomic inequalities in the prevalence of diabetes between 2005 and 2018 in an urban Argentinian population. Data were obtained from the repeated cross-sectional surveys “National Survey of Risk Factors” (ENFR is its acronym in Spanish). From 2005 to 2018, four rounds of ENFR were administered to men and women over 18 years of age. Concentration curves (CC) and the Erreygers concentration index (ECI) were used to describe the socioeconomic inequalities in diabetes’ prevalence. A decomposition analysis was performed to determine the contribution of each variable to inequality in diabetes’ prevalence. Data from 41,219 (2005), 34,583 (2009), 32,232 (2013), and 29,094 (2018) individuals were analyzed. Women reported a greater prevalence of diabetes compared with men for all the years included. According to the CC and ECI, we found no evidence of inequality in men throughout all study years. For women, throughout all years, the CCs were above the line of equity, and the ECIs during all the years were negative and different from zero ( p < 0.01). For women, we found no evidence of a reduction in inequalities between 2005 and 2018 ( p = 0.475). The socioeconomic inequality for women was largely driven by public insurance, primary and secondary education, and employment. Diabetes’ prevalence was not associated with socioeconomic status in men, while the prevalence of diabetes in women was more concentrated among poorer women. During the 13 years, there was no evidence of a reduction of inequality in women, noting that interventions must prioritize and should focus on the main contribution of inequalities, such as education and employment.

Suggested Citation

  • Carlos Rojas-Roque & Akram Hernández-Vásquez & Diego Azañedo & Guido Bendezu-Quispe, 2022. "Socioeconomic Inequalities in the Prevalence of Diabetes in Argentina: A Repeated Cross-Sectional Study in Urban Women and Men," IJERPH, MDPI, vol. 19(15), pages 1-12, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8888-:d:868681
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/8888/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/15/8888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Adolfo Rubinstein & Laura Gutierrez & Andrea Beratarrechea & Vilma E Irazola, 2014. "Increased Prevalence of Diabetes in Argentina Is Due to Easier Health Care Access Rather than to an Actual Increase in Prevalence," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-5, April.
    3. Md Ismail Tareque & Atsushi Koshio & Andrew D Tiedt & Toshihiko Hasegawa, 2015. "Are the Rates of Hypertension and Diabetes Higher in People from Lower Socioeconomic Status in Bangladesh? Results from a Nationally Representative Survey," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    4. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    5. Manuel S Ortiz & Baltica Cabieses & Marcela Oyarte & Paula Repetto, 2020. "Disentangling socioeconomic inequalities of type 2 diabetes mellitus in Chile: A population-based analysis," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-13, September.
    6. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    7. Owen O’Donnell & Stephen O’Neill & Tom Van Ourti & Brendan Walsh, 2016. "conindex: Estimation of concentration indices," Stata Journal, StataCorp LP, vol. 16(1), pages 112-138, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Conrad Murendo & Gamuchirai Murenje & Pepukai Prince Chivenge & Rumbidzai Mtetwa, 2021. "Financial Inclusion, Nutrition and Socio‐Economic Status Among Rural Households in Guruve and Mount Darwin Districts, Zimbabwe," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(1), pages 86-108, January.
    2. Laura Rossouw & Hana Ross, 2021. "Understanding Period Poverty: Socio-Economic Inequalities in Menstrual Hygiene Management in Eight Low- and Middle-Income Countries," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
    3. Jihyung Hong & Jaehee Lee, 2019. "Decomposing Income-Related Inequalities in Self-Reported Depression and Self-Rated Health Among Married Immigrants in South Korea," IJERPH, MDPI, vol. 16(10), pages 1-15, May.
    4. John E. Ataguba, 2022. "A short note revisiting the concentration index: Does the normalization of the concentration index matter?," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1506-1512, July.
    5. Mohammad Hajizadeh, 2018. "Does socioeconomic status affect lengthy wait time in Canada? Evidence from Canadian Community Health Surveys," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 369-383, April.
    6. Makate, Marshall & Makate, Clifton, 2016. "The Evolution of Socioeconomic-Related Inequalities in Maternal Healthcare Utilization: Evidence from Zimbabwe, 1994-2011," MPRA Paper 83897, University Library of Munich, Germany, revised 12 Jan 2018.
    7. Md. Mehedi Hasan & Fariha Tasnim & Md. Tariqujjaman & Sayem Ahmed, 2019. "Socioeconomic Inequalities of Undiagnosed Diabetes in a Resource-Poor Setting: Insights from the Cross-Sectional Bangladesh Demographic and Health Survey 2011," IJERPH, MDPI, vol. 16(1), pages 1-12, January.
    8. Sarah Tougher & Kara Hanson & Catherine A. Goodman, 2021. "Does subsidizing the private for‐profit sector benefit the poor? Evidence from national antimalarial subsidies in Nigeria and Uganda," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2510-2530, September.
    9. Hajizadeh, Mohammad & Hu, Min & Bombay, Amy & Asada, Yukiko, 2018. "Socioeconomic inequalities in health among Indigenous peoples living off-reserve in Canada: Trends and determinants," Health Policy, Elsevier, vol. 122(8), pages 854-865.
    10. Guido Erreygers & Roselinde Kessels, 2017. "Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality," IJERPH, MDPI, vol. 14(7), pages 1-23, June.
    11. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    12. Clarke, Philip & Van Ourti, Tom, 2010. "Calculating the concentration index when income is grouped," Journal of Health Economics, Elsevier, vol. 29(1), pages 151-157, January.
    13. Paul Allanson & Dennis Petrie, 2014. "Understanding The Vertical Equity Judgements Underpinning Health Inequality Measures," Health Economics, John Wiley & Sons, Ltd., vol. 23(11), pages 1390-1396, November.
    14. Costa-i-Font, Joan & Hernández-Quevedo, Cristina & Jiménez-Rubio, Dolores, 2012. "Do income gradients in unhealthy behaviours explain patterns of health inequalities?," LSE Research Online Documents on Economics 44302, London School of Economics and Political Science, LSE Library.
    15. Allanson, Paul, 2017. "Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data," Social Science & Medicine, Elsevier, vol. 175(C), pages 72-80.
    16. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    17. Quinn C, 2009. "Measuring income-related inequalities in health using a parametric dependence function," Health, Econometrics and Data Group (HEDG) Working Papers 09/24, HEDG, c/o Department of Economics, University of York.
    18. Davillas, Apostolos & Jones, Andrew M., 2020. "Unmet Health Care Need and Income-Related Horizontal Equity in Access during the COVID-19 Pandemic," IZA Discussion Papers 13910, Institute of Labor Economics (IZA).
    19. Mohammad Monirul Hasan & Jalal Uddin & Mohammad Habibullah Pulok & Nabila Zaman & Mohammad Hajizadeh, 2020. "Socioeconomic Inequalities in Child Malnutrition in Bangladesh: Do They Differ by Region?," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
    20. Azharuddin Akhtar & Indrani Roy Chowdhury, 2023. "The socioeconomic inequity in healthcare utilization among individuals with cardiovascular diseases in India," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1000-1018, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8888-:d:868681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.