Psychosocial Factors Associated with Depressive Symptom Severity among Indonesian Adults: An Ordinal Logistic Regression Analysis of IFLS-5 Data
(1) Universitas Andalas
(2) Universitas Andalas
(3) Universitas Andalas
(*) Corresponding Author
Abstract
Depression is a major public health concern and one of the most prevalent mental health disorders in Indonesia. However, evidence regarding psychosocial factors associated with depressive symptom severity among Indonesian adults remains limited. This study examined the associations of educational attainment, marital status, and emotional problems with depressive symptom severity using data from the fifth wave of the Indonesia Family Life Survey (IFLS-5). A cross-sectional analysis was conducted among 21,416 adults using descriptive statistics, Chi-square tests, and ordinal logistic regression. The results showed that educational attainment, marital status, and emotional problems were significantly associated with depressive symptom severity. Higher educational attainment and being married were associated with lower odds of more severe depressive symptoms, whereas emotional problems were associated with higher odds. These findings underscore the importance of psychosocial factors in developing targeted mental health interventions for Indonesian adults.
References
Alfaqeeh, M., Alfian, S. D., & Abdulah, R. (2025). Sociodemographic Factors, Health-Risk Behaviors, and Chronic Conditions Are Associated with a High Prevalence of Depressive Symptoms: Findings from the Indonesian Family Life Survey-5. Behavioral Medicine, 51(2), 117–127. https://doi.org/10.1080/08964289.2024.2375205
Amelia, V. L., Jen, H.-J., Lee, T.-Y., Chang, L.-F., & Chung, M.-H. (2022). Comparison of the Associations between Self-Reported Sleep Quality and Sleep Duration Concerning the Risk of Depression: A Nationwide Population-Based Study in Indonesia. International Journal of Environmental Research and Public Health, 19(21), 14273. https://doi.org/10.3390/ijerph192114273
Astutik, E., Hidajah, A. C., Tama, T. D., Efendi, F., & Li, C. (2021). Prevalence and determinants of depressive symptoms among adults in Indonesia: A cross?sectional population?based national survey. Nursing Forum, 56(1), 37–44. https://doi.org/10.1111/nuf.12508
Chlapecka, A., Kagstrom, A., & Cermakova, P. (2020). Educational attainment inequalities in depressive symptoms in more than 100,000 individuals in Europe. European Psychiatry, 63(1), e97. https://doi.org/10.1192/j.eurpsy.2020.100
Hayawi, H., Sedeeq, B., & Ali, T. (2025). A Comprehensive Overview of Ordinal Regression in Statistical Modeling. Computer Science and Mathematics. https://doi.org/10.20944/preprints202507.0735.v1
Hinata, A., Kabasawa, K., Watanabe, Y., Kitamura, K., Ito, Y., Takachi, R., Tsugane, S., Tanaka, J., Sasaki, A., Narita, I., & Nakamura, K. (2021). Education, household income, and depressive symptoms in middle-aged and older Japanese adults. BMC Public Health, 21(1), 2120. https://doi.org/10.1186/s12889-021-12168-8
Idaiani, S., Fikaris, M. F., Chairunnisa, G., Fajri, M., Anselmi, L., Gibson, J., Irmansyah, Keliat, B. A., Kusumaningtyas, I. A. M. A., Maharani, A., Satrya, A., Susilo, D., Sutton, M., Thabrany, H., Susanti, H., Brooks, H., Bee, P., & Wilkinson, J. (2025). Individual and area-level factors associated with depression in Indonesia: A multilevel analysis using the 2018 national basic health research. BMC Public Health, 25(1), 3298. https://doi.org/10.1186/s12889-025-23434-4
Ikin, J. F., McKenzie, D. P., Gwini, S. M., Kelsall, H. L., Creamer, M., McFarlane, A. C., Clarke, D. M., Wright, B., & Sim, M. (2016). Major depression and depressive symptoms in Australian Gulf War veterans 20 years after the Gulf War. Journal of Affective Disorders, 189, 77–84. https://doi.org/10.1016/j.jad.2015.09.016
Inaba, A., Thoits, P. A., Ueno, K., Gove, W. R., Evenson, R. J., & Sloan, M. (2005). Depression in the United States and Japan: Gender, marital status, and SES patterns. Social Science & Medicine, 61(11), 2280–2292. https://doi.org/10.1016/j.socscimed.2005.07.014
Irmansyah, I., Kusumaningtyas, I. A. M. A., Satrya, A., Anselmi, L., Gibson, J., Wilkinson, J., Idaiani, S., Keliat, B. A., Susilo, D., Thabrany, H., Susanti, H., Brooks, H., Bee, P., Sutton, M., & Maharani, A. (2026). Negative life events and the risk of depression: Findings from Indonesia Family Life Survey 2014/2015. PLOS One, 21(1), e0319137. https://doi.org/10.1371/journal.pone.0319137
Jang, S.-N., Kawachi, I., Chang, J., Boo, K., Shin, H.-G., Lee, H., & Cho, S. (2009). Marital status, gender, and depression: Analysis of the baseline survey of the Korean Longitudinal Study of Ageing (KLoSA). Social Science & Medicine, 69(11), 1608–1615. https://doi.org/10.1016/j.socscimed.2009.09.007
Leung, J., Gouda, H., Chung, J. Y. C., & Irmansyah, I. (2021). Comorbidity between depressive symptoms and chronic conditions – findings from the Indonesia Family Life Survey. Journal of Affective Disorders, 280, 236–240. https://doi.org/10.1016/j.jad.2020.11.007
Marvianto, R. D., Kurniawan, D. V., & Husein, M. N. (2026). Unveiling the characteristics of depression symptoms in Indonesia population: Lessons learned from the 5th wave of the Indonesian Family Life Survey (IFLS-5). Acta Psychologica, 262, 106093. https://doi.org/10.1016/j.actpsy.2025.106093
Matimbwa, H., Sumbizi, E., & Mugisha, K. (2025). A Meta-Analytical Review of the Ordinal Logistic Regression Model: Applicability, Assumptions and Practical Constraints. NG Journal of Social Development, 18(1), 378–388. https://doi.org/10.4314/ngjsd.v18i1.5
Ndayambaje, E., Pierewan, A. C., Nizeyumukiza, E., Nkundimana, B., & Ayriza, Y. (2020). MARITAL STATUS AND SUBJECTIVE WELL-BEING: DOES EDUCATION LEVEL TAKE INTO ACCOUNT? Jurnal Cakrawala Pendidikan, 39(1), 120–132. https://doi.org/10.21831/cp.v39i1.29620
Patria, B. (2022). The longitudinal effects of education on depression: Finding from the Indonesian national survey. Frontiers in Public Health, 10, 1017995. https://doi.org/10.3389/fpubh.2022.1017995
Tama, T. D., Astutik, E., & Reuwpassa, J. O. (2021). Predictors of Depressive Symptoms Based on the Human Capital Model Approach: Findings From the Indonesia Family Life Survey. The Yale Journal of Biology and Medicine, 94(3), 395–406.
Viana, A. T., Gonçalves, K. C. M., & Paez, M. S. (2024). Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory. Journal of Applied Statistics, 51(14), 2866–2893. https://doi.org/10.1080/02664763.2024.2321913
Williams, A., & Louis, L. (2026). Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and Information Processing, 14(01), 49–62. https://doi.org/10.4236/jdaip.2026.141004
Zhai, X., Tong, H. H. Y., Lam, C. K., Xing, A., Sha, Y., Luo, G., Meng, W., Li, J., Zhou, M., Huang, Y., Wong, L. S., Wang, C., & Li, K. (2024). Association and causal mediation between marital status and depression in seven countries. Nature Human Behaviour, 8(12), 2392–2405. https://doi.org/10.1038/s41562-024-02033-0
DOI: 10.24036/0001412chr2026
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