GAYA HIDUP DAN KESEHATAN MENTAL PADA GENERASI MILENIAL: STUDI DATA IFLS 5

Main Article Content

Nadya Kautsar Ridwani

Abstract

Kesehatan mental menjadi bagian terpenting dalam keberlangsungan dan kesejahteraan kehidupan individu. Namun, di Indonesia sendiri penderita depresi terus mengalami peningkatan terlebih pada generasi dengan produktivitas tinggi yaitu Generasi Milenial. Kesehatan mental dipengaruhi oleh beragam faktor salah satunya adalah gaya hidup individu. Selain itu, faktor sosio – ekonomi juga turut andil sebagai penyebab gejala depresi. Penelitian ini menggunakan metode multiple logistic regression dengan data dari Indonesia Family Life Survey (IFLS) gelombang lima yang dilaksanakan pada tahun 2014 untuk dapat mengidentifikasi pengaruh gaya hidup individu dan sosio – ekonomi terhadap gejala depresi. Hasilnya menunjukkan bahwa faktor gaya hidup yang meliputi; kesehatan subjektif, perasaan bahagia, kebiasaan merokok, tekanan pekerjaan, kualitas tidur, dan olahraga berpengaruh signifikan terhadap probabilitas terjadinya gejala depresi. Di samping itu, faktor sosio-ekonomi-demografi berupa jenis kelamin, status pernikahan, dan logaritma pengeluaran per kapita juga menjadi faktor yang mempengaruhi kesehatan mental individu.


Kata Kunci : Gaya Hidup, Sosio – Ekonomi – Demografi, Kesehatan Mental, Gejala Depresi

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How to Cite
Nadya Kautsar Ridwani. (2024). GAYA HIDUP DAN KESEHATAN MENTAL PADA GENERASI MILENIAL: STUDI DATA IFLS 5. Musytari : Jurnal Manajemen, Akuntansi, Dan Ekonomi, 8(11), 121–130. https://doi.org/10.8734/musytari.v8i11.6078
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Articles
Author Biography

Nadya Kautsar Ridwani, Universitas Padjadjaran

Ilmu Ekonomi, Fakultas Ekonomi dan Bisnis, Universitas Padjadjaran

References

Anstey, K. J., Von Sanden, C., Sargent-Cox, K., & Luszcz, M. A. (2007). Prevalence and risk factors for depression in a longitudinal, population-based study including individuals in the community and residential care. American Journal of Geriatric Psychiatry, 15(6), 497–505. https://doi.org/10.1097/JGP.0b013e31802e21d8

Benitez, A., & Gunstad, J. (2012). Poor sleep quality diminishes cognitive functioning independent of depression and anxiety in healthy young adults. Clinical Neuropsychologist, 26(2), 214–223. https://doi.org/10.1080/13854046.2012.658439

Bernstein, K., Lee, Y. M., Gona, P. N., Han, S. H., Kim, S., & Kim, S. S. (2021). Depression, Depression Literacy, and Sociodemographic Characteristics of Korean Americans: A Preliminary Investigation. Journal of Immigrant and Minority Health, 23(3), 547–557. https://doi.org/10.1007/s10903-020-01092-5

Copeland, A. L., Kulesza, M., & Hecht, G. S. (2009). Pre-quit depression level and smoking expectancies for mood management predict the nature of smoking withdrawal symptoms in college women smokers. Addictive Behaviors, 34(5), 481–483. https://doi.org/10.1016/j.addbeh.2008.12.007

Cui, N., Cui, J., Xu, X., Aslam, B., Bai, L., Li, D., & Wu, D. (2021). Health Conditions , Lifestyle Factors and Depression in Adults in Qingdao , China : A Cross-Sectional Study. 12(May), 1–9. https://doi.org/10.3389/fpsyt.2021.508810

Daley, A. (2008). Exercise and depression: A review of reviews. Journal of Clinical Psychology in Medical Settings, 15(2), 140–147. https://doi.org/10.1007/s10880-008-9105-z

Daray, F. M., Rubinstein, A. L., Gutierrez, L., Lanas, F., Mores, N., Calandrelli, M., Poggio, R., Ponzo, J., & Irazola, V. E. (2017). Determinants and geographical variation in the distribution of depression in the Southern cone of Latin America: A population-based survey in four cities in Argentina, Chile and Uruguay. Journal of Affective Disorders, 220, 15–23. https://doi.org/10.1016/j.jad.2017.05.031

Day, W. O. (2024). Hari obesitas sedunia. March.

Debreczeni, F. A., & Bailey, P. E. (2021). A Systematic Review and Meta-Analysis of Subjective Age and the Association With Cognition, Subjective Well-Being, and Depression. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 76(3), 471–482. https://doi.org/10.1093/geronb/gbaa069

Fahmi, M., Panjaitan, N. A., Habibie, I., Siregar, A. Y. M., Amarullah, G., Rahma, & Sunjaya, D. K. (2019). Does your neighborhood protect you from being depressed? A study on social trust and depression in Indonesia. BMC Public Health, 19(1), 1–8. https://doi.org/10.1186/s12889-019-7657-5

Ganasegeran, K., Renganathan, P., Manaf, R. A., & Al-Dubai, S. A. R. (2014). Factors associated with anxiety and depression among type 2 diabetes outpatients in Malaysia: A descriptive cross-sectional single-centre study. BMJ Open, 4(4), 1–7. https://doi.org/10.1136/bmjopen-2014-004794

Kaifi, B. A., Nafei, W. A., Khanfar, N. M., & Kaifi, M. M. (2012). A Multi-Generational Workforce: Managing and Understanding Millennials. International Journal of Business and Management, 7(24). https://doi.org/10.5539/ijbm.v7n24p88

Madigan, A., & Daly, M. (2023). Socioeconomic status and depressive symptoms and suicidality: The role of subjective social status. Journal of Affective Disorders, 326(August 2022), 36–43. https://doi.org/10.1016/j.jad.2023.01.078

Osborn, T. L., Wasanga, C. M., & Ndetei, D. M. (2022). Transforming mental health for all. In The BMJ. https://doi.org/10.1136/bmj.o1593

Piirtola, M., Kaprio, J., Baker, T. B., Piasecki, T. M., Piper, M. E., & Korhonen, T. (2021). The associations of smoking dependence motives with depression among daily smokers. Addiction, 116(8), 2162–2174. https://doi.org/10.1111/add.15390

Purwandi, L. (2020). INDONESIA 2020 : The Urban Middle-Class Millennials. April 2016.

Ukueva, N., & Becker, C. (2010). Private Transfers in Kyrgyzstan’s Post-Transition Environment: Results from a New Household Panel Dataset. Unpublished. Durham, NC: Duke University.

Usborne, E., & Taylor, D. M. (2010). The role of cultural identity clarity for self-concept clarity, self-esteem, and subjective well-being. Personality and Social Psychology Bulletin, 36(7), 883–897. https://doi.org/10.1177/0146167210372215

Yu, M., Shi, Y., Gu, L., & Wang, W. (2022). “Jolly fat” or “sad fat”: a systematic review and meta-analysis of the association between obesity and depression among community-dwelling older adults. Aging and Mental Health, 26(1), 13–25. https://doi.org/10.1080/13607863.2020.1857687