Skip to main content
Log in

Social Factors as Antecedents of Depression among Community-Dwelling Older Persons

  • Published:
Ageing International Aims and scope Submit manuscript

Abstract

Recognizing depression among older persons is often challenging as they tend to attribute their problems to physical rather than emotional origins. The association between socio-economic factors and depression among 384 older persons was determined through descriptive-correlational design. Path analysis revealed that depression is influenced directly by one’s age (r = .108), education status (r = .514), marital status (r = .011), occupation (r = .003), social status (r = −.116), physical stature (r = .099) and economic status (r = .011). Additionally, the type of community where the older persons dwell and gender have a direct influence on occupation (r = .003) and indirectly affecting depression (r = .103). On the other hand, family component has a direct influence on social status (r = .069) but indirectly influences the occurrence of depression (r = .127). Explicitly, these variables render a predictive path on the occurrence or non-occurrence of depression among the respondents. The study suggests that the diagnosis of depression and its prompt interventions can be traced to the socio-economic dimensions of older persons. Implications to research suggest that determining the antecedents to depression of older persons, this provides a projective analysis which can lead to the development of new knowledge in nursing. This will further influence the holistic management in dealing with an older person’s depression.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Babatsikou, F., Konsolaki, I., & Notara, V. (2017). Depression in the Elderly: A Descriptive Study of Urban and Semi-Urban Greek Population. International Journal of Caring Sciences., 10(3), 1286–1295.

    Google Scholar 

  • Bhamani, M. A., Karim, M. S., & Khan, M. M. (2013). Depression in the elderly in Karachi. Pakistan, BMC Psychiatry, 13, 181.

    Article  Google Scholar 

  • Bruce, M. L., Takeuchi, D. T., & Leaf, P. J. (1991). Poverty and psychiatric status. Longitudinal evidence from the New Haven Epidemiologic Catchment Area study. Arch Gen Psychiatry., 48, 470–474.

    Article  Google Scholar 

  • Butterworth, P., Rodgers, B., & Windsor, T. D. (2009). Financial hardship, socio-economic position and depression: Results from the PATH Through Life Survey. Social Science and Medicine, 229–237.

  • Cardona, A., Calle, J., Arango, D., Caredona, A., et al. (2018). Depression in the elderly: A study in three cities of Colombia. Salud Uninorte. Baranquilla, 34(2), 409–419.

    Google Scholar 

  • Chatterjee, K., Fall, S., & Barer, D. (2010). Mood after stroke: a case control study of biochemical, neuro-imaging and socio-economic risk factors for major depression in stroke survivors. BMC Neurology, 10, 125.

    Article  Google Scholar 

  • Cho, Y., Lee, J., Kim, D., Park, J., Choi, M., Kim, H., Nam, M., Lee, K., Han, K., & Park, Y. (2019). Factors associated with quality of life in patients with depression: A nationwide population-based study. PLOS ONE, 14(7), e0219455. https://doi.org/10.1371/journal.pone.0219455.

    Article  Google Scholar 

  • Dao, A., Nguyen, V., & Nguyen, H. (2018). Factors associated with depression among the elderly living in urban Vietnam. Biomed Research International. https://www.hindawi.com/journals/bmri/2018/2370284/.

  • Encyclopedia of Psychology. (2017). Depression. Retrieved from American Psychological Association: http://www.apa.org/topics/depression/

  • Fisket, A. (2009). Depression in older adults. Annual Review on Clinical Psychology .

  • Freeman, A., Tyrovolas, S., Koyanagi, A., Chatterji, S., & Leonardi, M. (2016). The role of socio-economic status in depression; results from the COURAGE (aging survey in Europe). BMC Public Health .

  • Gilman, S. E. (2013). The social determinants of depression in older adulthood. In M. S. Helen Lavretsky, Late Life Mood Disorders. Oxford University Press.

  • Gottfries, C.-g. (2001). Late life depression. European Archives of Psychiatry and Clinical Neuroscience, suppl. Supplement 2 , 57–-61.

  • Greenberg, S. A. (2012). The geriatric depression scale (GDS). try this.

  • Harris, T., Cook, D. G., Victor, C., Rink, E., Anthony, H. M., Shah, S., et al. (2003). Predictors of depressive symptoms in older people - a survey of two general practice populations. Age and Ageing, 510–518.

  • Hox, J., & Bechger, T. (n.d.). An Introduction to structural equation modeling. Family Science Review, 354–373.

  • Jo, S.-J., Yim, H. W., Bang, M. H., Lee, M. O., Jun, T.-Y., Choi, J.-S., et al. (2011). The association between economic status and depressive symptoms: An individual and community level approach. Psychiatry Investigation, 194–200.

  • Khalaila, R. (2016). Depression statuses and related predictors in later life: A 10 year follow-up study in Israel. European Journal Ageing, 311–321.

  • Kim, W., & Chen, Y.-L. (2011). The social determinants of depression in elderly Korean immigrants in Canada: Does acculturation matter? The International Journal of Aging and Human Development, 3(4), 283–298.

    Article  Google Scholar 

  • Krieger, N., Williams, D. R., & Moss, N. E. (1997). Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Publ Health, 18, 341–378.

    Article  Google Scholar 

  • Li, Y.-T., & Tung, T.-H. (2020). Effects of protective factors on the depressive status of elderly people in Taiwan. Medicine, 99(1).

  • Lorant, V., Croux, C., Weich, S., Deliege, D., Mackenbach, J., & Ansseau, M. (2007). Depression and socio-economic risk factors: 7-year longitudinal population study. British Journal of Psychiatry, 293–298.

  • Murata, C., Kondo, K., Hirai, H., Ichida, Y., & Ojima, T. (2008). Association between depression and socio-economic status among community-dwelling elderly in Japan: The Aichi Gerontological Evaluation Study (AGES). Health and Place, 406–414.

  • Mustakallo, S. (2015). The experience of elderly people to cope with their lives at home: A literature review. Retrieved 2018, from https://www.theseus.fi/bitstream/handle/10024/90254/Thesis Salla%20Mustakallio.pdf?sequence = 1.

  • National Economic and Development Authority. (2019). Frequently asked questions on poverty statistics. https://www.neda.gov.ph/wp-content/uploads/2019/04/Frequently-Asked-Questions-on-Poverty-Statistics.pdf

  • Nemade, R., & Patricelli, K. (2020).Depression and related conditions. Gulfbend Center.

    Google Scholar 

  • Ostler, K., Thompson, C., Kinmonth, A.-L., Peveler, R., Stevens, L., & Stevens, A. (2001). Influence of socio-economic deprivation on the prevalence and outcome of depression in primary care. British Journal of Psychiatry, 12–17.

  • Patel, V., Pereira, J., Coutinho, L., et al. (1998). Poverty, psychological disorder and disability in primary care attenders in Goa, India. Br J Psychiatry, 172, 533–536.

    Article  Google Scholar 

  • Phongsavan, P., Chey, T., Bauman, A., Brooks, R., & Silove, D. (2006). Social capital, socio-economic status and psychological distress among Australian adults. Social Science and Medicine, 2546–2561.

  • Picazzo-Palencia, E. (2016). Depression and mobility among older adults in Mexico. Hispanic Health Care International, 14(2): 94–-98 .P. Prevalence of depression in the Philippines.

  • Reijneveld, S. A., & Schenne, A. H. (1998). Higher prevalence of mental disorders in socioeconomically deprived urban areas in The Netherlands: community or personal disadvantage?. Journal of Epidemiological Community Health, 52(1), 2–7.

  • Reynolds, C. ,. (2017, November). Preventing late-life depression: Lessons in intervention development From Goa, India. Innovation in Aging .

  • Saraceno, B., Levav, I., & Kohn, R. (2005). The public mental health significanceof research on socio-economic factors in schizophrenia and major depression. World Psychiatry, 181–185.

  • Sarkar, M., Roy, S., & Akhter, M. (2018). Personal factors and its association with depression among secondary school children. Bangladesh Journal of Psychiatry, 10(1), 1.

    Article  Google Scholar 

  • Schaakxs, R., Cornijs, H., Larners, F., et al. (2016). Age-related variability in the presentation of symptoms of major depressive disorder. Psychology Medicine, 47, 543–552.

    Article  Google Scholar 

  • Tanner, E. K., Martinez, I. L., & Harris, M. (2014). Examining functional and social determinants of depression in community-dwelling older adults: Implications for practice. Geriatric Nursing, 236–240.

  • Vanoh, D., Shahar, S., Yahya, H. M., & Hamid, T. A. (2016, June). Prevalence and Determinants of Depressive Disorders among Community-dwelling Older Adults: Findings from the Towards Useful Aging Study. International Journal of Gerontology, 10(2), 81–85.

    Article  Google Scholar 

  • Wagner, F. A., Gallo, J. J., & Delva, J. (1999). Depression in late life: A hidden public health problem for Mexico? Salud Publica de Mexico, 187–202.

  • Weich, S., Blanchard, M., Prince, M., Burton, E., Erens, B., & Sproston, K. (2002). Mental health and the built environment: cross-sectional survey of individual and contextual risk factors for depression. British Journal of Psychiatry, 428–433.

  • World Health Organization. (2017, February). Media centre: Depression. Retrieved from http://www.who.int/mediacentre/factsheets/fs369/en/

  • Yesavage, J., Brink, T., Rose, T., Lum, O., Huang, V., & Adey, M. L. (1983). Development and validation of geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research, 17(1), 37–49.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daisy R. Palompon.

Ethics declarations

Conflict of Interest

The authors declare that there is no conflict of interest on the publication of the study.

Informed Consent

The study underwent review by the Research Ethics Committee and was given clearance for its conduct dated January 11, 2018. Approval to implement the study was likewise obtained from concerned government agencies and local government units of the selected research locale. More importantly, comprehensive disclosure of the project’s protocol, benefits, and disadvantages were provided after which informed consent were sought from the participants. The participants were provided the individual orientation of the study objectives and procedures before they signed the informed consent.

Ethical Standard

The schedule of visits for answering the survey tool was based on the convenience of the participant. Each participant was assisted by the researchers in terms of reading the text, but they are the ones who filled out their answers. They were likewise informed of their rights to withdraw anytime during the conversation without any repercussions. They were further provided contact information of the researchers in case any untoward effect happens after the data gathering. Utmost confidentiality and anonymity were maintained throughout by using codes to conceal their personal identity and password-protecting the files.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Funded by the Commission on Higher Education, Manila, Philippines and Cebu Normal University, Cebu City, Philippines through the Institutional Development and Innovation Grant (IDIG)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nemenzo, E.P., Palompon, D.R. & Bejoc, J.A. Social Factors as Antecedents of Depression among Community-Dwelling Older Persons. Ageing Int 47, 38–54 (2022). https://doi.org/10.1007/s12126-020-09405-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12126-020-09405-7

Keywords

Navigation