IDEAS home Printed from https://ideas.repec.org/a/jes/journl/y2018v9p87-109.html
   My bibliography  Save this article

Regional socio-economic factors influencing diabetes incidence: the case of Romania

Author

Listed:
  • Elena DRUICĂ

    (University of Bucharest, Romania)

  • Zizi GOSCHIN

    (University of Economic Studies Bucharest, Romania)

  • Cristian BĂICUȘ

    (Carol Davila University of Pharmacy and Medicine, Bucharest, Romania)

Abstract

We examine the relation between average net wage, urbanization rate, women density, life expectancy, medical infrastructure and medical human resources, and the incidence of total, insulin, and non – insulin diabetes among Romanians. We fitted three panel regression models with interaction terms using official data comprising of 41 Romanian counties analysed between 2007 and 2014. After controlling for age groups, we found that the share of women in the overall population moderates the influence of salary level on diabetes incidence for the total and non – insulin groups, while for the insulin – dependent category, urbanization rate was positively associated with the number of newly recorded patients. Health infrastructure was relevant only for the total, and the insulin – dependent categories. Our results are in line with the sizeable disparities in diabetes that exist within other European countries and are useful for regional decision-makers planning adequate healthcare services and target proper risk groups.

Suggested Citation

  • Elena DRUICĂ & Zizi GOSCHIN & Cristian BĂICUȘ, 2018. "Regional socio-economic factors influencing diabetes incidence: the case of Romania," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 87-109, June.
  • Handle: RePEc:jes:journl:y:2018:v:9:p:87-109
    as

    Download full text from publisher

    File URL: http://ejes.uaic.ro/articles/EJES2018_0901_DRU.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    2. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    3. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    4. Smith, William C. & Anderson, Emily & Salinas, Daniel & Horvatek, Renata & Baker, David P., 2015. "A meta-analysis of education effects on chronic disease: The causal dynamics of the Population Education Transition Curve," Social Science & Medicine, Elsevier, vol. 127(C), pages 29-40.
    5. Leigh, J.P. & Winkleby, M. & Jatulis, D.E. & Frank, E., 1993. "Multidisciplinary findings on socioeconomic status and health [5]," American Journal of Public Health, American Public Health Association, vol. 83(2), pages 289-290.
    6. Druica, Elena & Goschin, Zizi, 2016. "Does Economic Status Matter for the Regional Variation of Malnutrition-Related Diabetes in Romania? Temporal Clustering and Spatial Analyses," MPRA Paper 88831, University Library of Munich, Germany.
    7. Robbins, J.M. & Vaccarino, V. & Zhang, H. & Kasl, S.V., 2001. "Socioeconomic status and type 2 diabetes in African American and non-Hispanic White women and men: Evidence from the Third National Health and Nutrition Examination Survey," American Journal of Public Health, American Public Health Association, vol. 91(1), pages 76-83.
    8. Black, S.A., 2002. "Diabetes, diversity, and disparity: What do we do with the evidence?," American Journal of Public Health, American Public Health Association, vol. 92(4), pages 543-548.
    9. Matteo Mazziotta, Adriano Pareto, 2013. "Methods For Constructing Composite Indices: One For All Or All For One?," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 67-80, April-Jun.
    10. Pieter van Baal & Frederik Peters & Johan Mackenbach & Wilma Nusselder, 2016. "Forecasting differences in life expectancy by education," Population Studies, Taylor & Francis Journals, vol. 70(2), pages 201-216, May.
    11. Hosler, A.S. & Melnik, T.A., 2003. "Prevalence of Diagnosed Diabetes and Related Risk Factors: Japanese Adults in Westchester County, New York," American Journal of Public Health, American Public Health Association, vol. 93(8), pages 1279-1281.
    12. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    13. Andrew Sharpe, 2004. "Literature Review of Frameworks for Macro-indicators," CSLS Research Reports 2004-03, Centre for the Study of Living Standards.
    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. Alice Hengevoss, 2021. "Assessing the Impact of Nonprofit Organizations on Multi-Actor Global Governance Initiatives: The Case of the UN Global Compact," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    2. Maryia Bakhtsiyarava & Kathryn Grace, 2021. "Agricultural production diversity and child nutrition in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1407-1422, December.
    3. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    4. Ding Luo & Oded Cats & Hans Lint, 2020. "Can passenger flow distribution be estimated solely based on network properties in public transport systems?," Transportation, Springer, vol. 47(6), pages 2757-2776, December.
    5. Li, Larry & McMurray, Adela & Sy, Malick & Xue, Jinjun, 2018. "Corporate ownership, efficiency and performance under state capitalism: Evidence from China," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 747-766.
    6. Almudena Moreno-Mínguez & Marta Ortega-Gaspar & Carlos Gamero-Burón, 2018. "A Socio-Structural Perspective on Family Model Preferences, Gender Roles and Work–Family Attitudes in Spain," Social Sciences, MDPI, vol. 8(1), pages 1-23, December.
    7. Susanne Fricke & Lodovico Muratori, 2017. "Spatial price transmission and trade policies: new evidence for agricultural products from selected sub-Saharan African countries with high frequency data," Working Papers 5/17, Sapienza University of Rome, DISS.
    8. Lynn, Peter & Bosch, Oriol, 2021. "Methodological lessons from the pilot longitudinal survey on debt advice," ISER Working Paper Series 2021-03, Institute for Social and Economic Research.
    9. Mehmet H. TOPAL & Özlem S. GÜL, 2016. "The Effect of Country Risk on Foreign Direct Investment: A Dynamic Panel Data Analysis for Developing Countries," Journal of Economics Library, KSP Journals, vol. 3(1), pages 141-155, March.
    10. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    11. Wambua, Dennis Kyalo, 2017. "Influence Of Social Capital And Networks On Marketing Performance Of Smallholder Grain Farmer Groups In Tharaka North And Tharaka South Sub-Counties, Kenya," Research Theses 276430, Collaborative Masters Program in Agricultural and Applied Economics.
    12. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    13. Costin Andrei ISTRATE, 2017. "Comparative analysis of evaluation models in insurance solvency," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(Special), pages 27-36.
    14. Mohamed Elheddad & Mohga Bassim & Rizwan Ahmed, 2021. "FDI and economic growth in the GCC: does the oil sector matter?," Economics and Business Letters, Oviedo University Press, vol. 10(3), pages 178-190.
    15. Noor Zainab.Tunggal & Shariff Umar Shariff Abd. Kadir & Venus-Khim Sen Liew, 2018. "Panel Analysis of Monetary Model of ASEAN-5 Exchange Rates," International Business Research, Canadian Center of Science and Education, vol. 11(11), pages 1-7, November.
    16. Shailesh Rastogi & Geetanjali Pinto & Amit Kumar Pathak & Satyendra Pratap Singh & Arpita Sharma & Souvik Banerjee & Jagjeevan Kanoujiya & Pracheta Tejasmayee, 2023. "Influence of Transparency and Disclosures on the Dividend Distribution Decisions in the Firms: Do Profitability and Efficiency of Firms Matter?," IJFS, MDPI, vol. 11(4), pages 1-16, December.
    17. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    18. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    19. Wenhao Song & Chunhui Ye & Yuheng Liu & Weisong Cheng, 2021. "Do China’s Urban–Environmental Quality and Economic Growth Conform to the Environmental Kuznets Curve?," IJERPH, MDPI, vol. 18(24), pages 1-15, December.
    20. Chen, Bin & Huang, Liquan, 2018. "Nonparametric testing for smooth structural changes in panel data models," Journal of Econometrics, Elsevier, vol. 202(2), pages 245-267.

    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:jes:journl:y:2018:v:9:p:87-109. 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: Alupului Ciprian (email available below). General contact details of provider: https://edirc.repec.org/data/csjesro.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.