IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i3p1269-d490438.html
   My bibliography  Save this article

Does Young Adults’ Neighborhood Environment Affect Their Depressive Mood? Insights from the 2019 Korean Community Health Survey

Author

Listed:
  • Da-Hye Yim

    (Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea)

  • Youngsang Kwon

    (Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea
    Smart City Research Center, Advanced Institute of Convergence Technology, Seoul National University, Suwon 16229, Korea)

Abstract

The rates of depression among young adults have been increasing in high-income countries and have emerged as a social problem in South Koreans aged 19–34. However, the literature is unclear on whether the neighborhood environment that young adults live in affects the onset and severity of their depressive symptoms. This study analyzed data from the 2019 Korean Community Health Survey (KCHS) using the Tobit model to identify the effect of the neighborhood environment on young adults’ depressive moods. Controlling for other corresponding factors, young adults’ neighborhood environment satisfaction affected their depression, and natural environment satisfaction (32.5%), safety level satisfaction (31.0%), social overhead capital (SOC), environment satisfaction (30.2%), trust between neighbors satisfaction (20.1%), and public transportation environmental satisfaction (12.2%) affected young adults’ depressive moods. Of these, natural environment satisfaction (32.5%), safety level environment satisfaction (31.0%), and SOC environment satisfaction (30.2%) affected young adults’ depressive mood to a similar extent. This implies that many young adults in South Korea live in inadequate neighborhood conditions. This research contributes to the literature by identifying the specific environmental factors that affect young adults’ depressive moods.

Suggested Citation

  • Da-Hye Yim & Youngsang Kwon, 2021. "Does Young Adults’ Neighborhood Environment Affect Their Depressive Mood? Insights from the 2019 Korean Community Health Survey," IJERPH, MDPI, vol. 18(3), pages 1-15, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1269-:d:490438
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/3/1269/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/3/1269/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moisés Grimaldi-Puyana & José María Fernández-Batanero & Curtis Fennell & Borja Sañudo, 2020. "Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
    2. Zimei Huang & Tinghui Li & Mark Xu, 2020. "Are There Heterogeneous Impacts of National Income on Mental Health?," IJERPH, MDPI, vol. 17(20), pages 1-22, October.
    3. Wilson-Genderson, Maureen & Pruchno, Rachel, 2013. "Effects of neighborhood violence and perceptions of neighborhood safety on depressive symptoms of older adults," Social Science & Medicine, Elsevier, vol. 85(C), pages 43-49.
    4. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
    5. Musick, Marc A. & Wilson, John, 2003. "Volunteering and depression: the role of psychological and social resources in different age groups," Social Science & Medicine, Elsevier, vol. 56(2), pages 259-269, January.
    6. Eun-Sun Lee & Subin Park, 2019. "Patterns of Change in Employment Status and Their Association with Self-Rated Health, Perceived Daily Stress, and Sleep among Young Adults in South Korea," IJERPH, MDPI, vol. 16(22), pages 1-11, November.
    7. Giulia Melis & Elena Gelormino & Giulia Marra & Elisa Ferracin & Giuseppe Costa, 2015. "The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City," IJERPH, MDPI, vol. 12(11), pages 1-18, November.
    8. Hyunjung Lee & Lorena M. Estrada-Martínez, 2020. "Trajectories of Depressive Symptoms and Neighborhood Changes from Adolescence to Adulthood: Latent Class Growth Analysis and Multilevel Growth Curve Models," IJERPH, MDPI, vol. 17(6), pages 1-19, March.
    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. Lin Zhang & Suhong Zhou & Lanlan Qi & Yue Deng, 2022. "Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health," IJERPH, MDPI, vol. 19(24), pages 1-17, December.

    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. Lamar Pierce & Jason Snyder, 2015. "Unethical Demand and Employee Turnover," Journal of Business Ethics, Springer, vol. 131(4), pages 853-869, November.
    2. Matthias Lühr & Maria K. Pavlova & Maike Luhmann, 2022. "They are Doing Well, but is it by Doing Good? Pathways from Nonpolitical and Political Volunteering to Subjective Well-Being in Age Comparison," Journal of Happiness Studies, Springer, vol. 23(5), pages 1969-1989, June.
    3. Thomas Akintayo & Niina Häkälä & Katja Ropponen & Elsa Paronen & Sari Rissanen, 2016. "Predictive Factors for Voluntary and/or Paid Work among Adults in their Sixties," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1387-1404, September.
    4. Trine Filges & Anu Siren & Torben Fridberg & Bjørn C. V. Nielsen, 2020. "Voluntary work for the physical and mental health of older volunteers: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    5. Natalia Melgar & Máximo Rossi, 2012. "A Cross‐Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels," American Journal of Economics and Sociology, Wiley Blackwell, vol. 71(2), pages 354-376, April.
    6. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    7. Eleftherios Giovanis & Oznur Ozdamar, 2022. "Who is Left Behind? Altruism of Giving, Happiness and Mental Health during the Covid-19 Period in the UK," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 251-276, February.
    8. Aoki, Yu, 2014. "Donating Time to Charity: Not Working for Nothing," IZA Discussion Papers 7990, Institute of Labor Economics (IZA).
    9. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    10. Meffert, Susan M. & McCulloch, Charles E. & Neylan, Thomas C. & Gandhi, Monica & Lund, Crick, 2015. "Increase of perceived frequency of neighborhood domestic violence is associated with increase of women's depression symptoms in a nationally representative longitudinal study in South Africa," Social Science & Medicine, Elsevier, vol. 131(C), pages 89-97.
    11. Yanhong Gong & Xiulan Zhang & Hong Zou & Donghua Tian & Zhiyong Qu & Weijun Zhang & Yongqiang Chu, 2014. "Debt and depression among the Dibao population in northwestern China," International Journal of Social Psychiatry, , vol. 60(7), pages 637-645, November.
    12. Alloush, Mo & Bloem, Jeffrey R., 2022. "Neighborhood violence, poverty, and psychological well-being," Journal of Development Economics, Elsevier, vol. 154(C).
    13. Liu, Yiwei & Duan, Yanan & Xu, Ling, 2020. "Volunteer service and positive attitudes toward aging among Chinese older adults: The mediating role of health," Social Science & Medicine, Elsevier, vol. 265(C).
    14. Dongliang Yang & Shuxian Hu & Mingna Li, 2022. "The Influence of Family Socioeconomic Status on Adolescents’ Mental Health in China," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    15. Huang, Li-Hsuan, 2019. "Well-being and volunteering: Evidence from aging societies in Asia," Social Science & Medicine, Elsevier, vol. 229(C), pages 172-180.
    16. Wicke, Felix S. & Schmidt, Peter & Petersen, Julia & Ernst, Mareike & Krakau, Lina & Brähler, Elmar & Tibubos, Ana N. & Otten, Danielle & Reiner, Iris & Michal, Matthias & Schulz, Andreas & Münzel, Th, 2022. "Depression predicts equivalized income five years later, but not vice versa: Results from the prospective Gutenberg Health Study," Social Science & Medicine, Elsevier, vol. 313(C).
    17. Antonella Delle Fave, 2014. "Well-Being in Times of Crisis: Interdisciplinary Evidence and Policy Implications," Journal of Happiness Studies, Springer, vol. 15(1), pages 119-123, February.
    18. Hania Wu & Tony Tam, 2015. "Economic Development and Socioeconomic Inequality of Well-Being: A Cross-Sectional Time-Series Analysis of Urban China, 2003–2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 401-425, November.
    19. Wang, Ruoxi & Chen, Zhuo & Zhou, Yongjie & Shen, Lining & Zhang, Zhiguo & Wu, Xiang, 2019. "Melancholy or mahjong? Diversity, frequency, type, and rural-urban divide of social participation and depression in middle- and old-aged Chinese: A fixed-effects analysis," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    20. Chee‐Ruey Hsieh & Xuezheng Qin, 2018. "Depression hurts, depression costs: The medical spending attributable to depression and depressive symptoms in China," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 525-544, March.

    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:gam:jijerp:v:18:y:2021:i:3:p:1269-:d:490438. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.