IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2018_026.html
   My bibliography  Save this paper

Mental Health and Its Socioeconomic Inequality in Sweden: The Role of Demographic Changes over Time

Author

Listed:
  • Linder, Anna

    (Health Economics Unit, Department of Clinical Science, Lund University)

  • Spika, Devon

    (Department of Economics, Lund University)

  • Gerdtham, Ulf-G.

    (Department of Economics, Lund University)

  • Fritzell, Sara

    (Department of Public Health Science, Karolinska Institute, Sweden)

  • Heckley, Gawain

    (Health Economics Unit, Department of Clinical Science, Lund University)

Abstract

Our aim is to study trends in mental ill-health and socioeconomic-related mental health inequalities over time in Sweden. We also make a first attempt at disentangling why we see such a development, by decomposing any changes in terms of changes in selected demographic and socioeconomic characteristics among the population. A secondary aim is to consider how different indicators for mental ill-health, as well as different measures of inequality, affect the conclusions we draw. Register data from the Swedish Interdisciplinary Panel and the Swedish Living Conditions Survey (administered by Statistics Sweden) are used to study trends in mental ill-health and mental health inequalities over the years 1994-2011. The study population comprises of working age individuals aged 31-64 living in Sweden. Four indicators of mental ill-health are used in the main analysis: self-reported anxiety, psychiatric inpatient diagnosis, psychiatric outpatient diagnosis and death by suicide. The results show that psychiatric diagnoses (in- and outpatient) increased substantially amongst 31 - 64 year olds between 1994 and 2011. Self-reported anxiety remained stable and suicides decreased. These results show that the different indicators of mental ill-health are not reflective of each other and how we measure mental ill-health largely affect the conclusions we draw. The mental ill-health indicators which suggest there is an increase in mental ill-health (in- and outpatient diagnosis) partly depend on attitudes, help-seeking behaviour and diagnostic practice. Thus, we cannot say that mental ill-health actually has increased. However, all mental ill-health indicators are becoming increasingly concentrated among women and among those not participating in the labour force, and psychiatric diagnoses are increasingly concentrated among those lowest educated. Income-related mental health inequalities in Sweden are substantial, and have increased significantly between 1994 and 2011, both regarding absolute and relative inequalities. More than 30 percent of self-reported anxiety and suicides, and half or all psychiatric in- and outpatient diagnoses, are found among the poorest fifth of the population. The decomposition results show that distributional changes in the population explain the increase in suicide inequality and partly explain the increase in psychiatric inpatient diagnosis inequality. However, overall, only small changes in the level of mental ill-health and mental health inequalities are explained by changes in the population characteristics we study.

Suggested Citation

  • Linder, Anna & Spika, Devon & Gerdtham, Ulf-G. & Fritzell, Sara & Heckley, Gawain, 2018. "Mental Health and Its Socioeconomic Inequality in Sweden: The Role of Demographic Changes over Time," Working Papers 2018:26, Lund University, Department of Economics.
  • Handle: RePEc:hhs:lunewp:2018_026
    as

    Download full text from publisher

    File URL: https://project.nek.lu.se/publications/workpap/papers/wp18_26.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    3. Heckley, Gawain & Gerdtham, Ulf-G. & Kjellsson, Gustav, 2016. "A general method for decomposing the causes of socioeconomic inequality in health," Journal of Health Economics, Elsevier, vol. 48(C), pages 89-106.
    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. Francesco Renna & Vasilios D. Kosteas & Kuchibhotla Dinkar, 2021. "Inequality in health insurance coverage before and after the Affordable Care Act," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 384-402, February.

    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. Fernando Rios-Avila, 2019. "Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality," Economics Working Paper Archive wp_927, Levy Economics Institute.
    2. Linder, Anna & Spika, Devon & Gerdtham, Ulf-G. & Fritzell, Sara & Heckley, Gawain, 2020. "Education, immigration and rising mental health inequality in Sweden," Social Science & Medicine, Elsevier, vol. 264(C).
    3. Antonio Garofalo & Rosalia Castellano & Massimiliano Agovino & Gennaro Punzo & Gaetano Musella, 2019. "How Far is Campania from the Best-Performing Region in Italy? A Territorial-Divide Analysis of Separate Waste Collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 667-688, April.
    4. Zanola, Roberto & Vecco, Marilena & Jones, Andrew, 2021. "A place for everything and everything in its place: New York's role in the art market," Research in Economics, Elsevier, vol. 75(3), pages 215-224.
    5. Guido Erreygers & Roselinde Kessels & Linkun Chen & Philip Clarke, 2018. "Subgroup Decomposability of Income†Related Inequality of Health, with an Application to Australia," The Economic Record, The Economic Society of Australia, vol. 94(304), pages 39-50, March.
    6. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    7. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    8. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo, vol. 61(1), pages 202-238.
    9. Alison L. Booth, 2006. "The Glass Ceiling in Europe: Why Are Women Doing Badly in the Labour Market?," CEPR Discussion Papers 542, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    10. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    11. Michael E. Martell & Peyton Nash, 2020. "For Love and Money? Earnings and Marriage Among Same-Sex Couples," Journal of Labor Research, Springer, vol. 41(3), pages 260-294, September.
    12. Howard Bodenhorn & Christopher Ruebeck, 2007. "Colourism and African–american wealth: evidence from the nineteenth-century south," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 599-620, July.
    13. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    14. Ward-Warmedinger, Melanie E., 1999. "Salary and the Gender Salary Gap in the Academic Profession," IZA Discussion Papers 64, Institute of Labor Economics (IZA).
    15. Sieds, 2017. "Complete Volume LXXI n. 3 2017," 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. 71(3), pages 1-150, July-Sept.
    16. Ilhom Abdulloev & Ira N Gang & Myeong-Su Yun, 2014. "Migration, Education and the Gender Gap in Labour Force Participation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 509-526, September.
    17. David Bravo Urrutia & Sergio Urzúa & Claudia Sanhueza, 2007. "Is There Labor Market Discrimination Among Professionals In Chile? Lawyers, Doctors And Business-People," Working Papers wp264, University of Chile, Department of Economics.
    18. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    19. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    20. Monsueto, Sandro Eduardo & Simão, Rosycler Cristal Santos, 2008. "The impact of gender discrimination on poverty in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.

    More about this item

    Keywords

    Mental health; Inequality in health; Concentration index; Decomposition;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:lunewp:2018_026. 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: Prakriti Thami (email available below). General contact details of provider: https://edirc.repec.org/data/delunse.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.