IDEAS home Printed from https://ideas.repec.org/a/rfh/bbejor/v13y2024i1p29-41.html
   My bibliography  Save this article

Socioeconomic Determinants of Genetic Disorder in Disabled Persons of Punjab, Pakistan

Author

Listed:
  • Muhammad Akbar

    (PhD Scholar, Department of Economics, The IslamiaUniversity, Bahawalpur, Pakistan)

  • Abid Rashid

    (Associate Professor, Department of Economics, The Islamia University Bahawalpur, Pakistan)

  • Dr. Muhammad Ramzan Sheikh

    (Professor of Economics, School of Economics, Bahauddin Zakariya University, Multan, Pakistan)

Abstract

This study investigates the relationship among family history, genetic markers, family income, occupation, and the presence of genetic disorders in disabled persons in Punjab, Pakistan. The research study uses cross-sectional primary data from 5040 individuals collected with online and manual research questionnaire. The study employs Structural Equation Modeling (SEM) for rigorous assessment of numerical coefficients and also examines reliability, validity, and discriminant validity among the constructs to ensure their distinctiveness within the model. With R-square (0.541) and adjusted R-square (0.529), the results show that Socioeconomic indicators (Family income & employment, and Occupation) and family history have significant positive while genetic indicators like genetic markers have a negative impact on the presence of genetic disorder in disabled persons. The results also showed that mediation effects (the access to education and access to healthcare) demonstrate a significant negative impact on the presence of genetic disorders in disabled persons, where we safely say that with the increase in access to education and access to healthcare, genetic disorders in disabled persons can be removed or overcome in Punjab, Pakistan. Based on findings, recommendations are proposed for better decisions of officials and policymakers in the betterment and favor of disabled persons in Punjab, Pakistan.

Suggested Citation

  • Muhammad Akbar & Abid Rashid & Dr. Muhammad Ramzan Sheikh, 2024. "Socioeconomic Determinants of Genetic Disorder in Disabled Persons of Punjab, Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 29-41.
    • Handle: RePEc:rfh:bbejor:v:13:y:2024:i:1:p:29-41
    DOI: https://doi.org/10.61506/01.00169
    as

    Download full text from publisher

    File URL: https://bbejournal.com/index.php/BBE/article/view/663/576
    Download Restriction: no
    File URL: https://bbejournal.com/index.php/BBE/article/view/663
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.61506/01.00169?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. Andries T. Marees & Dirk J. A. Smit & Abdel Abdellaoui & Michel G. Nivard & Wim Brink & Damiaan Denys & Titus J. Galama & Karin J. H. Verweij & Eske M. Derks, 2021. "Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits," Nature Human Behaviour, Nature, vol. 5(8), pages 1065-1073, August.
    2. Lundborg, Petter & Stenberg, Anders, 2010. "Nature, nurture and socioeconomic policy--What can we learn from molecular genetics?," Economics & Human Biology, Elsevier, vol. 8(3), pages 320-330, December.
    3. Susanna Calling & Henrik Ohlsson & Jan Sundquist & Kristina Sundquist & Kenneth S Kendler, 2019. "Socioeconomic status and alcohol use disorders across the lifespan: A co-relative control study," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-14, October.
    4. Barr, Peter B. & Silberg, Judy & Dick, Danielle M. & Maes, Hermine H., 2018. "Childhood socioeconomic status and longitudinal patterns of alcohol problems: Variation across etiological pathways in genetic risk," Social Science & Medicine, Elsevier, vol. 209(C), pages 51-58.
    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. van den Berg, Gerard J. & Pinger, Pia R., 2016. "Transgenerational effects of childhood conditions on third generation health and education outcomes," Economics & Human Biology, Elsevier, vol. 23(C), pages 103-120.
    2. Pehkonen, Jaakko & Viinikainen, Jutta & Böckerman, Petri & Lehtimäki, Terho & Pitkänen, Niina & Raitakari, Olli, 2017. "Genetic endowments, parental resources and adult health: Evidence from the Young Finns Study," Social Science & Medicine, Elsevier, vol. 188(C), pages 191-200.
    3. Gränsmark, Patrik, 2012. "Masters of our time: Impatience and self-control in high-level chess games," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 179-191.
    4. Richter, André & Robling, Per Olof, 2013. "Multigenerational e ffects of the 1918-19 influenza pandemic in Sweden," Working Paper Series 5/2013, Stockholm University, Swedish Institute for Social Research.
    5. Björklund, Anders & Jäntti, Markus, 2012. "How important is family background for labor-economic outcomes?," Labour Economics, Elsevier, vol. 19(4), pages 465-474.
    6. Stenberg, Anders, 2013. "Interpreting estimates of heritability – A note on the twin decomposition," Economics & Human Biology, Elsevier, vol. 11(2), pages 201-205.
    7. Dierker, Philipp & Kühn, Mine & Mönkediek, Bastian, 2023. "Does parental separation moderate the heritability of health risk behavior among adolescents?," Social Science & Medicine, Elsevier, vol. 331(C).
    8. Owen Thompson, 2014. "Economic Background and Educational Attainment: The Role of Gene-Environment Interactions," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 263-294.
    9. Lucía Martínez-Manrique & Maitane Berasaluce & Xisca Sureda & María Sandín Vázquez, 2022. "Gender Matters: Identity, Risk Perception and Preventive Interventions for Alcohol Consumption among Adolescents Using a Qualitative Approach," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    10. Nævdal, Eric, 2014. "Optimal screening for genetic diseases," Economics & Human Biology, Elsevier, vol. 15(C), pages 129-139.
    11. Domingue, Benjamin & Trejo, Sam & Armstrong-Carter, Emma & Tucker-Drob, Elliot M., 2020. "Interactions between polygenic scores and environments: Methodological and conceptual challenges," SocArXiv u7sh4, Center for Open Science.
    12. Lee, Chioun & Ryff, Carol D., 2019. "Pathways linking combinations of early-life adversities to adult mortality: Tales that vary by gender," Social Science & Medicine, Elsevier, vol. 240(C).
    13. Amin, Vikesh & Dunn, Paul & Spector, Tim, 2018. "Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins," Economics & Human Biology, Elsevier, vol. 31(C), pages 200-208.
    14. Biroli, Pietro & Zwyssig, Laura, 2021. "Moral Hazard Heterogeneity: Genes and Health Insurance Influence Smoking after a Health Shock," IZA Discussion Papers 14176, Institute of Labor Economics (IZA).
    15. Pilar Marqués-Sánchez & Enedina Quiroga Sánchez & Cristina Liébana-Presa & Elena Fernández-Martínez & Isaías García-Rodríguez & José Alberto Benítez-Andrades, 2020. "The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-12, November.
    16. Juho Härkönen & Hande Kaymakçalan & Pirjo Mäki & Anja Taanila, 2012. "Prenatal Health, Educational Attainment, and Intergenerational Inequality: The Northern Finland Birth Cohort 1966 Study," Demography, Springer;Population Association of America (PAA), vol. 49(2), pages 525-552, May.
    17. Maria Niarchou & Daniel E. Gustavson & J. Fah Sathirapongsasuti & Manuel Anglada-Tort & Else Eising & Eamonn Bell & Evonne McArthur & Peter Straub & J. Devin McAuley & John A. Capra & Fredrik Ullén & , 2022. "Genome-wide association study of musical beat synchronization demonstrates high polygenicity," Nature Human Behaviour, Nature, vol. 6(9), pages 1292-1309, September.
    18. van den Berg, Gerard J. & Pinger, Pia, 2014. "A Validation Study of Transgenerational Effects of Childhood Conditions on the Third Generation Offspring's Economic and Health Outcomes Potentially Driven by Epigenetic Imprinting," IZA Discussion Papers 7999, Institute of Labor Economics (IZA).
    19. Cook, C. Justin & Fletcher, Jason M., 2014. "Interactive effects of in utero nutrition and genetic inheritance on cognition: New evidence using sibling comparisons," Economics & Human Biology, Elsevier, vol. 13(C), pages 144-154.

    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:rfh:bbejor:v:13:y:2024:i:1:p:29-41. 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: Dr. Muhammad Irfan Chani (email available below). General contact details of provider: https://edirc.repec.org/data/rffhlpk.html .

    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.