IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-03170020.html
   My bibliography  Save this paper

Socioeconomic Status and Stroke Prevalence in Morocco: Results from the Rabat-Casablanca Study

Author

Listed:
  • Thomas Engels
  • Quentin Baglione
  • Martine Audibert

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Anne Viallefont
  • Fouzi Mourji
  • Mustapha El Alaoui Faris

Abstract

Background: Stroke is a growing public health concern in low-and middle-income countries. Improved knowledge about the association between socioeconomic status and stroke in these countries would enable the development of effective stroke prevention and management strategies. This study presents the association between socioeconomic status and the prevalence of stroke in Morocco, a lower middle-income country. Methods: Data on the prevalence of stroke and stroke-related risk factors were collected during a large population-based survey. The diagnosis of stroke in surviving patients was confirmed by neurologists while health, demographic, and socioeconomic characteristics of households were collected using structured questionnaires. We used Multiple Correspondence Analysis to develop a wealth index based on characteristics of the household dwelling as well as ownership of selected assets. We used logistic regressions controlling for multiple variables to assess the statistical association between socioeconomic status and stroke. Findings: Our results showed a significant association between household socioeconomic status and the prevalence of stroke. This relationship was non-linear, with individuals from both the poorest (mainly rural) and richest (mainly urban) households having a lower prevalence of stroke as compared to individuals with medium wealth level. The latter belonged mainly to urban households with a lower socioeconomic status. When taking into account the urban population only, we observed that a third of poorest households experienced a significantly higher prevalence of stroke compared to the richest third (OR = 2.06; CI 95%: 1.09; 3.89). Conclusion: We conclude that individuals from the most deprived urban households bear a higher risk of stroke than the rest of the population in Morocco. This result can be explained to a certain extent by the higher presence of behavioral risk factors in this specific category of the population, which leads in turn to metabolic and physiological risk factors of stroke, such as obesity, diabetes, and hypertension.

Suggested Citation

  • Thomas Engels & Quentin Baglione & Martine Audibert & Anne Viallefont & Fouzi Mourji & Mustapha El Alaoui Faris, 2014. "Socioeconomic Status and Stroke Prevalence in Morocco: Results from the Rabat-Casablanca Study," Post-Print halshs-03170020, HAL.
    • Handle: RePEc:hal:journl:halshs-03170020
    DOI: 10.1371/journal.pone.0089271
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03170020
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-03170020/document
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0089271?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    2. Colin D Mathers & Dejan Loncar, 2006. "Projections of Global Mortality and Burden of Disease from 2002 to 2030," PLOS Medicine, Public Library of Science, vol. 3(11), pages 1-20, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alizée McLorg & Kennedy Omolo & Peter Sifuna & Andrea Shaw & Bhavneet Walia & David A. Larsen, 2021. "Examining Wealth Trends in Kombewa, Kenya," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 631-651, September.
    2. Olutobi Adekunle Sanuade & Francis Nii-Amoo Dodoo & Kwadwo Koram & Ama de-Graft Aikins, 2019. "Prevalence and correlates of stroke among older adults in Ghana: Evidence from the Study on Global AGEing and adult health (SAGE)," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.

    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. Thomas Engels & Quentin Baglione & Martine Audibert & Anne Viallefont & Fouzi Mourji & Mustapha El Alaoui Faris & for the GRAVCM Study Group, 2014. "Socioeconomic Status and Stroke Prevalence in Morocco: Results from the Rabat-Casablanca Study," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
    2. Jia Lu & Shabana Jamani & Joseph Benjamen & Eric Agbata & Olivia Magwood & Kevin Pottie, 2020. "Global Mental Health and Services for Migrants in Primary Care Settings in High-Income Countries: A Scoping Review," IJERPH, MDPI, vol. 17(22), pages 1-28, November.
    3. Matthijs van den Berg & Filip Smit & Theo Vos & Pieter H M van Baal, 2011. "Cost-Effectiveness of Opportunistic Screening and Minimal Contact Psychotherapy to Prevent Depression in Primary Care Patients," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-7, August.
    4. Ide, Hiroo & Mollahaliloglu, Salih, 2009. "How firms set prices for medical materials: A multi-country study," Health Policy, Elsevier, vol. 92(1), pages 73-78, September.
    5. Marlous Milliano & Ilze Plavgo, 2018. "Analysing Multidimensional Child Poverty in Sub-Saharan Africa: Findings Using an International Comparative Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 805-833, June.
    6. Eldon Spackman & Stewart Richmond & Mark Sculpher & Martin Bland & Stephen Brealey & Rhian Gabe & Ann Hopton & Ada Keding & Harriet Lansdown & Sara Perren & David Torgerson & Ian Watt & Hugh MacPherso, 2014. "Cost-Effectiveness Analysis of Acupuncture, Counselling and Usual Care in Treating Patients with Depression: The Results of the ACUDep Trial," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    7. Duclos, Jean-Yves & Sahn, David & Younger, Stephen D., 2003. "Polarization: Robust Multidimensional Poverty Comparisons," Cahiers de recherche 0304, CIRPEE.
    8. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    9. Peele, Morgan & Wolf, Sharon, 2020. "Predictors of anxiety and depressive symptoms among teachers in Ghana: Evidence from a randomized controlled trial," Social Science & Medicine, Elsevier, vol. 253(C).
    10. R Burger & S du Plessis, 2011. "Examining the Robustness of Competing Explanations of Slow Growth in African Countries," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 35(3), pages 21-47, December.
    11. Carsten Hinrichsen & Vibeke Jenny Koushede & Katrine Rich Madsen & Line Nielsen & Nanna Gram Ahlmark & Ziggi Ivan Santini & Charlotte Meilstrup, 2020. "Implementing Mental Health Promotion Initiatives—Process Evaluation of the ABCs of Mental Health in Denmark," IJERPH, MDPI, vol. 17(16), pages 1-26, August.
    12. Mussa, Richard, 2010. "Poverty and Inequality in Standards of Living in Malawi: Does Religious Affiliation Matter?," MPRA Paper 24438, University Library of Munich, Germany.
    13. Jean-Pierre Lachaud, 2001. "Les déterminants de l'évolution de la survie des enfants et la pauvreté au Burkina Faso : une approche micro-économétrique," Documents de travail 60, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    14. Haroon Bhorat & Carlene Van Der Westhuizen & Derek Yu, 2014. "The Silent Success: Delivery of Public Assets Since Democracy," Working Papers 201403, University of Cape Town, Development Policy Research Unit.
    15. Gianni Tognoni & Alejandro Macchia, 2020. "Health as a Human Right: A Fake News in a Post-human World?," Development, Palgrave Macmillan;Society for International Deveopment, vol. 63(2), pages 270-276, December.
    16. World Bank Group, 2017. "Republic of Congo Poverty Assessment Report," World Bank Publications - Reports 28302, The World Bank Group.
    17. Renske Kok & Mauricio Avendano & Teresa Bago d’Uva & Johan Mackenbach, 2012. "Can Reporting Heterogeneity Explain Differences in Depressive Symptoms Across Europe?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 191-210, January.
    18. Emmanuel Peprah & Elisabet Caler & Anya Snyder & Fassil Ketema, 2020. "Deconstructing Syndemics: The Many Layers of Clustering Multi-Comorbidities in People Living with HIV," IJERPH, MDPI, vol. 17(13), pages 1-7, June.
    19. Richard Mussa, 2013. "Spatial Comparisons of Poverty and Inequality in Living Standards in Malawi," South African Journal of Economics, Economic Society of South Africa, vol. 81(2), pages 192-210, June.
    20. Francisco Azpitarte & Gaston Yalonetzky, 2023. "The measurement of asset and wealth poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 38, pages 410-419, Edward Elgar Publishing.

    More about this item

    Statistics

    Access and download statistics

    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:hal:journl:halshs-03170020. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.