IDEAS home Printed from https://ideas.repec.org/a/spr/eujoag/v13y2016i4d10.1007_s10433-016-0384-1.html
   My bibliography  Save this article

Depression statuses and related predictors in later life: A 10-year follow-up study in Israel

Author

Listed:
  • Rabia Khalaila

    (Zefat Academic College)

Abstract

The aim of the current study was to investigate the factors associated with depression statuses in a 10-year follow-up of community-dwelling older adults in Israel. Longitudinal data were used from the Israeli sample of the Survey of Health, Aging and Retirement in Europe, assessing the depressive symptoms in 1042 respondents, aged 50 or above, at three time points: 2004/2005 (Wave I); 2009/2010 (Wave II); and 2014/2015 (Wave III). Multinomial logistic regression was used to determine the relationships among explanatory variables and depression statuses (no-depression, intermittent depression, or persistent depression). Some 46.5 % of the participants suffered from intermittent or persistent depression. Five factors were associated with increasing the probability of both intermittent and persistent depression: being female, unemployed, less educated, physically disabled, and in poor health. Five other explanatory variables were associated only with a higher risk for persistent depression: low family income, widowhood, physical inactivity, more than two chronic diseases, and cognitive dysfunction. According to these findings, depression is common among older people in Israel. Low socio-economic status and poor subjective and physical health are significant determinants of depression statuses over time, underlining the importance of taking measures to improve these conditions in order to reduce the risk of depression in old age.

Suggested Citation

  • Rabia Khalaila, 2016. "Depression statuses and related predictors in later life: A 10-year follow-up study in Israel," European Journal of Ageing, Springer, vol. 13(4), pages 311-321, December.
    • Handle: RePEc:spr:eujoag:v:13:y:2016:i:4:d:10.1007_s10433-016-0384-1
    DOI: 10.1007/s10433-016-0384-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10433-016-0384-1
    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/s10433-016-0384-1?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. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    2. 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.
    3. Cruwys, Tegan & Dingle, Genevieve A. & Haslam, Catherine & Haslam, S. Alexander & Jetten, Jolanda & Morton, Thomas A., 2013. "Social group memberships protect against future depression, alleviate depression symptoms and prevent depression relapse," Social Science & Medicine, Elsevier, vol. 98(C), pages 179-186.
    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. Chau-kiu Cheung & Esther Oi-wah Chow, 2020. "Contribution of Wisdom to Well-Being in Chinese Older Adults," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 913-930, July.
    2. Sai-fu Fung & Esther Oi-wah Chow & Chau-kiu Cheung, 2020. "Development and Evaluation of the Psychometric Properties of a Brief Wisdom Development Scale," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    3. Sharon Shiovitz-Ezra, 2016. "Antecedents of late life outcomes: the case of Israel," European Journal of Ageing, Springer, vol. 13(4), pages 281-285, December.
    4. Sabela Siaba, & Bruno Casal & Berta Rivera, 2024. "The Impact of Financial Constraints on Quality of Life and Mental Health in the Elderly: Evidence from Spain," Hacienda Pública Española / Review of Public Economics, IEF, vol. 249(2), pages 9-34, June.

    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. Hoeck, Sarah & François, Guido & Van der Heyden, Johan & Geerts, Joanna & Van Hal, Guido, 2011. "Healthcare utilisation among the Belgian elderly in relation to their socio-economic status," Health Policy, Elsevier, vol. 99(2), pages 174-182, February.
    2. Santini, Ziggi Ivan & Jose, Paul E. & Koyanagi, Ai & Meilstrup, Charlotte & Nielsen, Line & Madsen, Katrine R. & Koushede, Vibeke, 2020. "Formal social participation protects physical health through enhanced mental health: A longitudinal mediation analysis using three consecutive waves of the Survey of Health, Ageing and Retirement in E," Social Science & Medicine, Elsevier, vol. 251(C).
    3. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    4. William Boyce & Torbjorn Torsheim & Candace Currie & Alessio Zambon, 2006. "The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 78(3), pages 473-487, September.
    5. Martin Korndörfer & Boris Egloff & Stefan C. Schmukle, 2015. "A Large Scale Test of the Effect of Social Class on Prosocial Behavior," Working Papers 1601, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    6. Jason R. D. Rarick & Carly Tubbs Dolan & Wen‐Jui Han & Jun Wen, 2018. "Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 390-405, March.
    7. Satoru Kanamori & Yuko Kai & Jun Aida & Katsunori Kondo & Ichiro Kawachi & Hiroshi Hirai & Kokoro Shirai & Yoshiki Ishikawa & Kayo Suzuki & The JAGES Group, 2014. "Social Participation and the Prevention of Functional Disability in Older Japanese: The JAGES Cohort Study," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    8. Gallagher, H. Colin & Block, Karen & Gibbs, Lisa & Forbes, David & Lusher, Dean & Molyneaux, Robyn & Richardson, John & Pattison, Philippa & MacDougall, Colin & Bryant, Richard A., 2019. "The effect of group involvement on post-disaster mental health: A longitudinal multilevel analysis," Social Science & Medicine, Elsevier, vol. 220(C), pages 167-175.
    9. Fujishiro, Kaori & Xu, Jun & Gong, Fang, 2010. "What does "occupation" represent as an indicator of socioeconomic status?: Exploring occupational prestige and health," Social Science & Medicine, Elsevier, vol. 71(12), pages 2100-2107, December.
    10. Evelina Landstedt & Per Gustafsson & Klara Johansson & Anne Hammarström, 2016. "Longitudinal associations between social relationships at age 30 and internalising symptoms at age 42: findings from the Northern Swedish Cohort," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(1), pages 75-81, January.
    11. Pai, Jieun & DeVoe, Sanford E. & Pfeffer, Jeffrey, 2020. "How income and the economic evaluation of time affect who we socialize with outside of work," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 158-175.
    12. Scharoun-Lee, Melissa & Adair, Linda S. & Kaufman, Jay S. & Gordon-Larsen, Penny, 2009. "Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach," Social Science & Medicine, Elsevier, vol. 68(4), pages 708-716, February.
    13. Peter Congdon, 2011. "The Spatial Pattern of Suicide in the US in Relation to Deprivation, Fragmentation and Rurality," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2101-2122, August.
    14. Cameron, James E. & Voth, Jennifer & Jaglal, Susan B. & Guilcher, Sara J.T. & Hawker, Gillian & Salbach, Nancy M., 2018. "“In this together”: Social identification predicts health outcomes (via self-efficacy) in a chronic disease self-management program," Social Science & Medicine, Elsevier, vol. 208(C), pages 172-179.
    15. Dalia M. Munoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Álvaro R. Osornio-Vargas, 0. "Air pollution and children’s respiratory health: a scoping review of socioeconomic status as an effect modifier," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 0, pages 1-12.
    16. Haslam, Catherine & Cruwys, Tegan & Haslam, S. Alexander, 2014. "“The we's have it”: Evidence for the distinctive benefits of group engagement in enhancing cognitive health in aging," Social Science & Medicine, Elsevier, vol. 120(C), pages 57-66.
    17. Shivani A. Patel & Susan G. Sherman & Subarna K. Khatry & Steven C. LeClerq & Joanne Katz & James M. Tielsch & Parul Christian, 2016. "An Index of Community-Level Socioeconomic Composition for Global Health Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 639-658, November.
    18. Jinani Jayasekera & Eberechukwu Onukwugha & Christopher Cadham & Donna Harrington & Sarah Tom & Francoise Pradel & Michael Naslund, 2019. "An ecological approach to monitor geographic disparities in cancer outcomes," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    19. 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.
    20. Sumit Dey & Vandana Upadhyay & Manish Chouhan, 2022. "‘What Determines Socio-Economic Status and What Reflects It?’—Partial Least Square-Structural Equation Modelling Approach," Journal of Development Policy and Practice, , vol. 7(2), pages 206-220, July.

    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:eujoag:v:13:y:2016:i:4:d:10.1007_s10433-016-0384-1. 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.