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The European Journal of Health Economics

, Volume 20, Issue 7, pp 1093–1101 | Cite as

Partner’s depression and quality of life among older Europeans

  • Marta Pascual-Sáez
  • David Cantarero-PrietoEmail author
  • Carla Blázquez-Fernández
Original Paper

Abstract

We aim to study among European older adults (after age 50) if partner’s mental health influences the individual’s well-being. A sample of married or with registered partnership couples that live together, from the latest wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) is considered. More specifically, we use logistic regressions to determine the impact that partner’s mental health has on an individual well-being. Besides, personal health and socio-demographic characteristics are also analysed. Differences by gender have been also considered. We shed new light on the factors determining well-being. The empirical findings show that there are important spillover effects from individual’s mental health to the well-being of their partners within households (OR = 1.51; 95% C.I 1.43, 1.59). Our results show utility and empathy between couples, regardless of being a man or a woman. Further, once controlled by the individual traditional factors (age, education or labour status), the interdependence of the closest environment is shown. These findings play a very important role in explaining the public policies that consider the social perspective of well-being in general, as well as mental health policies in particular.

Keywords

Quality of life Oldest people Partner’s health SHARE Logistic regressions 

JEL classification

I10 I12 I31 

Notes

Acknowledgements

This paper uses data from SHARE Waves 1, 2, 3 (SHARELIFE), 4, 5 and 6 (DOIs:  https://doi.org/10.6103/share.w1.611,  https://doi.org/10.6103/share.w2.611,  https://doi.org/10.6103/share.w3.611,  https://doi.org/10.6103/share.w4.611,  https://doi.org/10.6103/share.w5.611,  https://doi.org/10.6103/share.w6.611), see Börsch-Supan et al. (2013) for methodological details. (1).

The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org).

This paper uses data from the generated easySHARE data set ( https://doi.org/10.6103/share.easy.611), see Gruber et al. (2014) for methodological details. The easySHARE release 6.1.1 is based on SHARE Waves 1, 2, 3 (SHARELIFE), 4, 5 and 6 (DOIs:  https://doi.org/10.6103/share.w1.611,  https://doi.org/10.6103/share.w2.611,  https://doi.org/10.6103/share.w3.611,  https://doi.org/10.6103/share.w4.611,  https://doi.org/10.6103/share.w5.611,  https://doi.org/10.6103/share.w6.611).

Author's contribution

All the authors contributed to the writing of the manuscript and read and approved the final manuscript.

Funding

Not applicable.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

Ethics approval is not required for this paper, since we did not collect data with personal information. The paper is the result of a research carried on independently by the authors. No plagiarism and no conflict of interest can be addressed to this research.

Data availability

All data can be obtained by contacting the corresponding author.

References

  1. 1.
    De Meijer, C., Wouterse, B., Polder, J., Koopmanschap, M.: The effect of population aging on health expenditure growth: a critical review. Eur. J. Ageing 10(4), 353–361 (2013)CrossRefPubMedCentralPubMedGoogle Scholar
  2. 2.
    Muir, T.: Measuring social protection for long-term care. OECD Health Working Papers, No. 93. OECD Publishing, Paris (2017).  https://doi.org/10.1787/a411500a-en
  3. 3.
    Rodrigues, R., Ilinca, S., Schmidt, A.E.: Income-rich and wealth-poor? The impact of measures of socio-economic status in the analysis of the distribution of long-term care use among older people. Health Econ. 27(3), 637–646 (2018)CrossRefPubMedGoogle Scholar
  4. 4.
    Collins, P.Y., Patel, V., Joestl, S.S., et al.: Grand challenges in global mental health. Nature 475(7354), 27–30 (2011)CrossRefPubMedCentralPubMedGoogle Scholar
  5. 5.
    Brown, H., Hole, A.R., Roberts, J.: Going the same ‘weigh’: spousal correlations in obesity in the United Kingdom. Appl. Econ. 46(2), 153–166 (2014)CrossRefGoogle Scholar
  6. 6.
    Wilson, S.E.: The health capital of families: an investigation of the inter-spousal correlation in health status. Soc. Sci. Med. 55(7), 1157–1172 (2002)CrossRefPubMedGoogle Scholar
  7. 7.
    Cantarero-Prieto, D., Pascual-Sáez, M., Blázquez-Fernández, C.: What is happening with quality of life among the oldest people in Southern European countries? An empirical approach based on the SHARE data. Soc. Indic. Res. 140(3), 1195–1209 (2018)CrossRefGoogle Scholar
  8. 8.
    Vo, N.X., Vo, T.Q., Watanapongvanich, S., Witvorapong, N.: Measurement and determinants of quality of life of older adults in Ho Chi Minh City, Vietnam. Soc. Indic. Res. 142(3), 1–19 (2018)Google Scholar
  9. 9.
    Tubeuf, S., Jusot, F.: Social health inequalities among older Europeans: the contribution of social and family background. Eur. J. Health. Econ. 12(1), 61–77 (2011)CrossRefPubMedGoogle Scholar
  10. 10.
    Börsch-Supan, A.M., Brandt, C.: Hunkler data, resource profile: the survey of health, ageing and retirement in europe (SHARE). Int. J. Epidemiol. 42(4), 992–1001 (2013)CrossRefPubMedCentralPubMedGoogle Scholar
  11. 11.
    Börsch-Supan, A., S. Gruber, C. Hunkler, S. et al. easySHARE. Release version: 6.1.1. SHARE-ERIC. Dataset (2018)  https://doi.org/10.6103/share.easy.611
  12. 12.
    Gruber, S., Hunkler, C., Stuck, S.: Generating easyshare guidelines, structure, content and programming. Share Working Paper Series 17-2014, Munich (2014)Google Scholar
  13. 13.
    Costa-Font, J.: “Institutionalization aversion” and the willingness to pay for home health care. J. Hous. Econ. 38, 62–69 (2017)CrossRefGoogle Scholar
  14. 14.
    Niedzwiedz, C.L., Katikireddi, S.V., Pell, J.P., Mitchell, R.: Socioeconomic inequalities in the quality of life of older Europeans in different welfare regimes. Eur. J. Public Health 24(3), 364–370 (2014)CrossRefPubMedCentralPubMedGoogle Scholar
  15. 15.
    Steptoe, A., Deaton, A., Stone, A.A.: Subjective wellbeing, health, and ageing. Lancet 385(9968), 640–648 (2015)CrossRefPubMedGoogle Scholar
  16. 16.
    Ng, S.T., Tey, N.P., Asadullah, M.N.: What matters for life satisfaction among the oldest-old? Evidence from China. PloS One 12(2), e0171799 (2017)CrossRefPubMedCentralPubMedGoogle Scholar
  17. 17.
    Jones, A.M., Rice, N., Bago d’Uva, T., Balia, S.: Applied health economics, 2nd edn. Taylor and Francis, London (2013)CrossRefGoogle Scholar
  18. 18.
    Hosmer, D., Lemeshow, S.: Applied logistic regression, 2nd edn. Wiley series in probability and statistics. Wiley, New York (2000)CrossRefGoogle Scholar
  19. 19.
    Read, S., Grundy, E.: Mental health among older married couples: the role of gender and family life. Soc. Psychiatry Psychiatr. Epidem. 46(4), 331–341 (2011)CrossRefGoogle Scholar
  20. 20.
    Angelini, V., Cavapozzi, D., Corazzini, L., Paccagnella, O.: Age, health and life satisfaction among older Europeans. Soc. Indic. Res. 105(2), 293–308 (2012)CrossRefPubMedGoogle Scholar
  21. 21.
    Stolz, E.: Cross-national variation in quality of life of care-dependent elders in Europe: a two-step approach combining multilevel regression and fuzzy-set QCA. Int. J. Sociol. 45(4), 286–308 (2015)CrossRefGoogle Scholar
  22. 22.
    Bourassa, K.J., Knowles, L.M., Sbarra, D.A., O’Connor, M.F.: Absent but not gone: interdependence in couples’ quality of life persists after a partner’s death. Psychol. Sci. 27(2), 270–281 (2016)CrossRefPubMedGoogle Scholar
  23. 23.
    Mendolia, S., McNamee, P., Yerokhin, O.: The transmission of mental health within households: does one partner’s mental health influence the other partner’s life satisfaction? IZA Discussion Paper Series, No. 11431 (2018). http://ftp.iza.org/dp11431.pdf
  24. 24.
    Acri, M., Hooley, C.D., Richardson, N., Moaba, L.B.: Peer models in mental health for caregivers and families. Community Ment. Health J. 53(2), 241–249 (2017)CrossRefPubMedGoogle Scholar
  25. 25.
    Pinquart, M.: Parenting stress in caregivers of children with chronic physical condition—a meta-analysis. Stress Med. 34(2), 197–207 (2018)Google Scholar
  26. 26.
    Acciai, F., Hardy, M.: Depression in later life: a closer look at the gender gap. Soc. Sci. Res. 68, 163–175 (2017)CrossRefPubMedGoogle Scholar
  27. 27.
    Hoppmann, C., Gerstorf, D.: Spousal interrelations in old age–a mini-review. Gerontology 55(4), 449–459 (2009)CrossRefPubMedGoogle Scholar
  28. 28.
    Pascual, M., Cantarero, D., Lanza, P.: Health polarization and inequalities across Europe: an empirical approach. Eur. J. Health. Econ. 19(8), 1039–1051 (2018)CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Marta Pascual-Sáez
    • 1
  • David Cantarero-Prieto
    • 1
    Email author
  • Carla Blázquez-Fernández
    • 1
  1. 1.Group of Health Economics and Health Service Management, Department of EconomicsThe University of Cantabria—IDIVALSantanderSpain

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