IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0238204.html
   My bibliography  Save this article

The effects of socioeconomic conditions on old-age mortality within shared disability pathways

Author

Listed:
  • Mathias Voigt
  • Antonio Abellán
  • Julio Pérez
  • Diego Ramiro

Abstract

Objective: How disability manifests itself in an individual is a highly complex process influenced by a wide range of individual and environmental factors. Its complexity makes the search for generalizable characteristics of the disablement process a challenging task. Consequentially, little is known about how the effect on other health outcomes such as life expectancy are modified after the onset of chronic ailments. In this paper we posit an alternative approach to generalize health trajectories of older people with disability and then analyze how socioeconomic conditions affect the longevity within these trajectory groups. Methods: Individual level information about the first three successive onsets of chronic disability after age 50 is transformed into state-sequences. We extract trajectory groups based on onset time and the time spent in a certain state. Mortality hazards are then estimated with a Gompertz proportional hazards model to compare effects of different socioeconomic measures within the trajectory groups. Results: Three distinct trajectory groups are identified, the mild (1), the early severe (2), and late severe (3) pathway. Estimates of the mortality analysis suggest that social inequalities in longevity are less pronounced after onset of old-age disability. We found a consistent survival prolonging effect for individuals who engage in daily activities (such as meeting with friends, walking) that ranged between 33.2% and 77.3%. The importance of other variables varies between trajectory groups. Discussion: This study shows how health trajectories of individuals with disability can be generalized when information on the onset and severity of single conditions is available. Such an approach may help us to better predict health and care expenditures and help families and individuals with their personal care planning. The findings from the subsequent survival analysis suggest a substantial reduction of socioeconomic mortality differences after onset of old-age disability, which appears to be independent of its nature.

Suggested Citation

  • Mathias Voigt & Antonio Abellán & Julio Pérez & Diego Ramiro, 2020. "The effects of socioeconomic conditions on old-age mortality within shared disability pathways," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
  • Handle: RePEc:plo:pone00:0238204
    DOI: 10.1371/journal.pone.0238204
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238204
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0238204&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0238204?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. Verbrugge, Lois M. & Jette, Alan M., 1994. "The disablement process," Social Science & Medicine, Elsevier, vol. 38(1), pages 1-14, January.
    2. Miles G. Taylor, 2010. "Capturing Transitions and Trajectories: The Role of Socioeconomic Status in Later Life Disability," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 65(6), pages 733-743.
    3. Fiorillo, Damiano & Sabatini, Fabio, 2011. "Quality and quantity: the role of social interactions in individual health," AICCON Working Papers 84-2011, Associazione Italiana per la Cultura della Cooperazione e del Non Profit.
    4. Jennifer Karas Montez & Mark D. Hayward & Dustin C. Brown & Robert A. Hummer, 2009. "Why Is the Educational Gradient of Mortality Steeper for Men?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(5), pages 625-634.
    5. Cecilia Potente & Christiaan Monden, 2018. "Disability pathways preceding death in England by socio-economic status," Population Studies, Taylor & Francis Journals, vol. 72(2), pages 175-190, May.
    6. Francesco Billari & Raffaella Piccarreta, 2005. "Analyzing Demographic Life Courses through Sequence Analysis," Mathematical Population Studies, Taylor & Francis Journals, vol. 12(2), pages 81-106.
    7. Scott Lynch, 2003. "Cohort and life-course patterns in the relationship between education and health: A hierarchical approach," Demography, Springer;Population Association of America (PAA), vol. 40(2), pages 309-331, May.
    8. Joel E. Cohen & Christina Bohk & Roland Rau, 2018. "Gompertz, Makeham, and Siler models explain Taylor's law in human mortality data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(29), pages 773-842.
    9. Douglas A. Wolf & Carlos F. Mendes de Leon & Thomas A. Glass, 2007. "Trends in Rates of Onset of and Recovery From Disability at Older Ages: 1982–1994," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(1), pages 3-10.
    10. Matthias Studer & Gilbert Ritschard, 2016. "What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 481-511, February.
    11. Miles G. Taylor & Scott M. Lynch, 2004. "Trajectories of Impairment, Social Support, and Depressive Symptoms in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 59(4), pages 238-246.
    12. Lois Verbrugge & Li-Shou Yang & Lucia Juarez, 2004. "Severity, timing, and structure of disability," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 49(2), pages 110-121, April.
    13. Shripad Tuljapurkar & Ryan Edwards, 2011. "Variance in death and its implications for modeling and forecasting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(21), pages 497-526.
    14. Marquet, Oriol & Miralles-Guasch, Carme, 2015. "Neighbourhood vitality and physical activity among the elderly: The role of walkable environments on active ageing in Barcelona, Spain," Social Science & Medicine, Elsevier, vol. 135(C), pages 24-30.
    15. Matthias Studer & Gilbert Ritschard & Alexis Gabadinho & Nicolas S. Müller, 2011. "Discrepancy Analysis of State Sequences," Sociological Methods & Research, , vol. 40(3), pages 471-510, August.
    16. repec:dau:papers:123456789/10510 is not listed on IDEAS
    17. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    18. Fiorillo, Damiano & Sabatini, Fabio, 2011. "Quality and quantity: The role of social interactions in self-reported individual health," Social Science & Medicine, Elsevier, vol. 73(11), pages 1644-1652.
    19. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
    20. Zachary Zimmer & Linda Martin & Daniel Nagin & Bobby Jones, 2012. "Modeling Disability Trajectories and Mortality of the Oldest-Old in China," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 291-314, February.
    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. Michal Engelman & Heide Jackson, 2019. "Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2323-2347, December.
    2. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.
    3. Zachary Zimmer & Luoman Bao & Nanette L. Mayol & Feinian Chen & Tita Lorna L. Perez & Paulita L. Duazo, 2017. "Functional limitation trajectories and their determinants among women in the Philippines," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(30), pages 863-892.
    4. Jonas Šiaulys & Rokas Puišys, 2022. "Survival with Random Effect," Mathematics, MDPI, vol. 10(7), pages 1-17, March.
    5. Borgna, Camilla & Struffolino, Emanuela, 2018. "Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 167-184.
    6. Ricard, Antonin & Shimizu, Katsuhiko & Vieu, Marion, 2021. "Deepening the timing dimension of emerging market multinational companies’ internationalization – An exploratory perspective," Journal of International Management, Elsevier, vol. 27(3).
    7. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    8. Helske, Satu & Steele, Fiona & Kokko, Katja & Räikkönen, Eija & Eerola, Mervi, 2015. "Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events," LSE Research Online Documents on Economics 62244, London School of Economics and Political Science, LSE Library.
    9. Barbara Elisabeth Fulda, 2016. "The diversity in longitudinal partnership trajectories during the transition to adulthood: How is it related to individual characteristics and regional living conditions?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(37), pages 1101-1134.
    10. Zachary Zimmer & Linda Martin & Daniel Nagin & Bobby Jones, 2012. "Modeling Disability Trajectories and Mortality of the Oldest-Old in China," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 291-314, February.
    11. Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.
    12. Marcel Raab & Emanuela Struffolino, 2020. "The Heterogeneity of Partnership Trajectories to Childlessness in Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 36(1), pages 53-70, March.
    13. Bethany Everett & David Rehkopf & Richard Rogers, 2013. "The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 893-917, December.
    14. Damiano Fiorillo & Giuseppe Lubrano Lavadera & Nunzia Nappo, 2020. "Individual Heterogeneity in the Association Between Social Participation and Self-rated Health: A Panel Study on BHPS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(2), pages 645-667, September.
    15. Júlia Mikolai & Hill Kulu, 2019. "Union dissolution and housing trajectories in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(7), pages 161-196.
    16. Babette Bühler & Katja Möhring & Andreas P. Weiland, 2022. "Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4747-4774, December.
    17. Marc A. Scott & Kaushik Mohan & Jacques‐Antoine Gauthier, 2020. "Model‐based clustering and analysis of life history data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1231-1251, June.
    18. Luo, Ye & Zhang, Zhenmei & Gu, Danan, 2015. "Education and mortality among older adults in China," Social Science & Medicine, Elsevier, vol. 127(C), pages 134-142.
    19. Studer, Matthias & Struffolino, Emanuela & Fasang, Anette Eva, 2018. "Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 103-135.
    20. Zwiers, Merle & Kleinhans, Reinout & van Ham, Maarten, 2015. "Divided Cities: Increasing Socio-Spatial Polarization within Large Cities in the Netherlands," IZA Discussion Papers 8882, Institute of Labor Economics (IZA).

    More about this item

    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:plo:pone00:0238204. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.