IDEAS home Printed from https://ideas.repec.org/a/spr/jhappi/v22y2021i2d10.1007_s10902-020-00248-2.html
   My bibliography  Save this article

Determinants of Subjective Wellbeing Trajectories in Older Adults: A Growth Mixture Modeling Approach

Author

Listed:
  • Darío Moreno-Agostino

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • Alejandro de la Torre-Luque

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • Javier de la Fuente

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • Elvira Lara

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • Natalia Martín-María

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • Maria Victoria Moneta

    (Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
    Parc Sanitari Sant Joan de Déu)

  • Ivet Bayés

    (Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
    Parc Sanitari Sant Joan de Déu)

  • Beatriz Olaya

    (Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
    Parc Sanitari Sant Joan de Déu)

  • Josep Maria Haro

    (Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa)
    Parc Sanitari Sant Joan de Déu)

  • Marta Miret

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

  • José Luis Ayuso-Mateos

    (Universidad Autónoma de Madrid
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)
    Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa))

Abstract

Subjective wellbeing (SWB) is a core component of healthy aging to be promoted among older adults. This study aims to analyze whether there are subgroups with different trajectories in the main components of SWB (i.e. positive affect, negative affect, and life satisfaction) within the older population, and identify potential determinants of these heterogeneous trajectories. We analyzed data on 1,189 Spanish older adults aged 50 +, collected as part of a nationwide representative longitudinal survey. We used a growth mixture modeling approach to identify heterogeneous trajectories within each SWB component, and logistic and multinomial regressions to explore the associated determinants. In addition to a predominant trajectory with above neutral, relatively stable scores on each SWB outcome, we found an additional trajectory with worse scores throughout all older adulthood for all SWB components, alongside a trajectory with a better life satisfaction. Depression, loneliness, disability, income, education, marital status, physical activity, and occupational status were found to be significant determinants of the membership to different trajectories. Our results suggest that there is no unitary trajectory of SWB in the older population regarding any of its components. Moreover, they point at the appropriateness of programs aimed at promoting or counteracting the aspects that may respectively prevent or facilitate pertaining to the trajectories with worst long-term outcomes as an effective way of enhancing healthy aging.

Suggested Citation

  • Darío Moreno-Agostino & Alejandro de la Torre-Luque & Javier de la Fuente & Elvira Lara & Natalia Martín-María & Maria Victoria Moneta & Ivet Bayés & Beatriz Olaya & Josep Maria Haro & Marta Miret & J, 2021. "Determinants of Subjective Wellbeing Trajectories in Older Adults: A Growth Mixture Modeling Approach," Journal of Happiness Studies, Springer, vol. 22(2), pages 709-726, February.
  • Handle: RePEc:spr:jhappi:v:22:y:2021:i:2:d:10.1007_s10902-020-00248-2
    DOI: 10.1007/s10902-020-00248-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10902-020-00248-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10902-020-00248-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Angus Deaton, 2008. "Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 53-72, Spring.
    2. Rainer Winkelmann, 2009. "Unemployment, Social Capital, and Subjective Well-Being," Journal of Happiness Studies, Springer, vol. 10(4), pages 421-430, August.
    3. Stephen Jivraj & James Nazroo & Bram Vanhoutte & Tarani Chandola, 2014. "Aging and Subjective Well-Being in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(6), pages 930-941.
    4. Blanchflower, David G. & Oswald, Andrew J., 2008. "Is well-being U-shaped over the life cycle?," Social Science & Medicine, Elsevier, vol. 66(8), pages 1733-1749, April.
    5. Frijters, Paul & Beatton, Tony, 2012. "The mystery of the U-shaped relationship between happiness and age," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 525-542.
    6. Bottan, Nicolas Luis & Perez Truglia, Ricardo, 2011. "Deconstructing the hedonic treadmill: Is happiness autoregressive?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(3), pages 224-236, May.
    7. Dolan, Paul & Peasgood, Tessa & White, Mathew, 2008. "Do we really know what makes us happy A review of the economic literature on the factors associated with subjective well-being," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 94-122, February.
    8. José Luis Ayuso-Mateos & Marta Miret & Francisco Félix Caballero & Beatriz Olaya & Josep Maria Haro & Paul Kowal & Somnath Chatterji, 2013. "Multi-Country Evaluation of Affective Experience: Validation of an Abbreviated Version of the Day Reconstruction Method in Seven Countries," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    9. Proust-Lima, Cécile & Philipps, Viviane & Liquet, Benoit, 2017. "Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 78(i02).
    10. Arthur A. Stone & Stefan Schneider & Alan Krueger & Joseph E. Schwartz & Angus Deaton, 2018. "Experiential Wellbeing Data from the American Time Use Survey: Comparisons with Other Methods and Analytic Illustrations with Age and Income," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 359-378, February.
    11. Samantha Dockray & Nina Grant & Arthur Stone & Daniel Kahneman & Jane Wardle & Andrew Steptoe, 2010. "A Comparison of Affect Ratings Obtained with Ecological Momentary Assessment and the Day Reconstruction Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 269-283, November.
    12. Paul Dolan & Laura Kudrna & Arthur Stone, 2017. "The Measure Matters: An Investigation of Evaluative and Experience-Based Measures of Wellbeing in Time Use Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 57-73, October.
    13. Arthur A. Stone & Joseph E. Schwartz & Joan E. Broderick & Angus Deaton, 2010. "A snapshot of the age distribution of psychological well-being in the United States," Working Papers 1230, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    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. Darío Moreno-Agostino & Francisco José Abad & Francisco Félix Caballero, 2022. "Evidence on the Bidirectional Relationship Between Health and Life Satisfaction in Older Adults," Journal of Happiness Studies, Springer, vol. 23(4), pages 1561-1577, April.

    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. Hudomiet, Péter & Hurd, Michael D. & Rohwedder, Susann, 2021. "The age profile of life satisfaction after age 65 in the U.S," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 431-442.
    2. Blanchflower, David G. & Oswald, Andrew J., 2016. "Antidepressants and age: A new form of evidence for U-shaped well-being through life," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 46-58.
    3. Bussière, Clémence & Sirven, Nicolas & Tessier, Philippe, 2021. "Does ageing alter the contribution of health to subjective well-being?," Social Science & Medicine, Elsevier, vol. 268(C).
    4. Clémence Kieny & Gabriela Flores & Michael Ingenhaag & Jürgen Maurer, 2022. "Healthy, Wealthy, Wise, and Happy? Assessing Age Differences in Evaluative and Emotional Well-Being Among Mature Adults from Five Low- and Middle-Income Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 1019-1050, April.
    5. Thi Truong An Hoang & Andreas Knabe, 2021. "Time Use, Unemployment, and Well-Being: An Empirical Analysis Using British Time-Use Data," Journal of Happiness Studies, Springer, vol. 22(6), pages 2525-2548, August.
    6. Biermann, Philipp & Bitzer, Jürgen & Gören, Erkan, 2022. "The relationship between age and subjective well-being: Estimating within and between effects simultaneously," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
    7. Hania Wu & Tony Tam, 2015. "Economic Development and Socioeconomic Inequality of Well-Being: A Cross-Sectional Time-Series Analysis of Urban China, 2003–2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 401-425, November.
    8. Thomas Hansen & Morten Blekesaune, 2022. "The age and well-being “paradox”: a longitudinal and multidimensional reconsideration," European Journal of Ageing, Springer, vol. 19(4), pages 1277-1286, December.
    9. Junji Kageyama & Kazuma Sato, 2021. "Explaining the U-shaped life satisfaction: dissatisfaction as a driver of behavior," Journal of Bioeconomics, Springer, vol. 23(2), pages 179-202, July.
    10. Schwandt, Hannes, 2016. "Unmet aspirations as an explanation for the age U-shape in wellbeing," Journal of Economic Behavior & Organization, Elsevier, vol. 122(C), pages 75-87.
    11. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    12. David G. Blanchflower & Carol L. Graham, 2022. "The Mid-Life Dip in Well-Being: a Critique," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 287-344, May.
    13. Francisco Caballero & Marta Miret & Beatriz Olaya & Jaime Perales & Ruy López-Ridaura & Josep Haro & Somnath Chatterji & José Ayuso-Mateos, 2014. "Evaluation of Affect in Mexico and Spain: Psychometric Properties and Usefulness of an Abbreviated Version of the Day Reconstruction Method," Journal of Happiness Studies, Springer, vol. 15(4), pages 915-935, August.
    14. Dolan, Paul & Metcalfe, Robert, 2012. "The relationship between innovation and subjective wellbeing," Research Policy, Elsevier, vol. 41(8), pages 1489-1498.
    15. Takis Venetoklis, 2019. "Do interactions cancel associations of subjective well-being with individual-level socioeconomic characteristics? An exploratory analysis using the European Social Survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 3033-3061, November.
    16. Tekin Kose & Julide Yildirim & Gizem Tanrivere, 2017. "The Effects of Terrorism on Happiness: Evidence from Turkey," EcoMod2017 10229, EcoMod.
    17. Gabriela Flores & Michael Ingenhaag & Jürgen Maurer, 2013. "Healthy, wealthy, wise, and happy? An exploratory analysis of the interplay between aging and subjective well-being in low and middle income countries," Cahiers de Recherches Economiques du Département d'économie 13.13, Université de Lausanne, Faculté des HEC, Département d’économie.
    18. Lin, Yi-Chen & Hwang, Ruey-Ching & Deng, Wen-Shuenn, 2015. "Heterogeneity in the relationship between subjective well-being and its determinants over the life cycle: A varying-coefficient ordered probit approach," Economic Modelling, Elsevier, vol. 49(C), pages 372-386.
    19. Begoña Álvarez, 2022. "The Best Years of Older Europeans’ Lives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(1), pages 227-260, February.
    20. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.

    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:spr:jhappi:v:22:y:2021:i:2:d:10.1007_s10902-020-00248-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.