J Korean Med Sci.  2023 Apr;38(15):e118. 10.3346/jkms.2023.38.e118.

Association Between Commuting Time and Subjective Well-Being in Relation to Regional Differences in Korea

Affiliations
  • 1Department of Occupational and Environmental Medicine, Ajou University School of Medicine, Suwon, Korea
  • 2Department of Occupational and Environmental Medicine, Ajou University Hospital, Suwon, Korea
  • 3Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea

Abstract

Background
Long commuting times have a negative impact on mental health. However, few studies have explored the relationship between commuting time and well-being based on urbanization by region. Our study examines this relationship as well as the effect of regional differences on Korean workers.
Methods
We used data from the sixth Korean Working Conditions Survey. Commuting time and occupational factors were assessed using a questionnaire, and subjective well-being was assessed using the World Health Organization-5 Well-Being Index. Regions were divided into the cities and the provinces based on Korea’s administrative divisions. Logistic regression analysis was performed to investigate the association between commuting time and wellbeing. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for well-being were estimated, using participants commuting time of < 20 minutes as a reference group.
Results
The total number of workers was 29,458 (13,855 men, 15,603 women). We found higher aORs for low well-being among workers with long commuting times (aOR, 1.23; 95% CI, 1.11–1.36 and aOR, 1.28; 95% CI, 1.16–1.42 for 60–79 and ≥ 80 minutes, respectively). When stratified by sex and region, higher aORs for low well-being were found only in the workers who lived in cities.
Conclusion
Long commuting time was negatively associated with well-being in Korean wage workers living in the cities. Policies for reducing commuting time should be discussed to address the mental health of workers, especially those living in metropolitan cities.

Keyword

Commuting; Korea; Mental Health; Well-Being; Workers

Reference

1. Bissell D. Transit Life: How Commuting Is Transforming Our Cities. Cambridge, MA, USA: The MIT Press;2018.
2. Lyons G, Chatterjee K. A human perspective on the daily commute: costs, benefits and trade-offs. Transp Rev. 2008; 28(2):181–198.
3. Zijlstra T, Verhetsel A. The commuters’ burden: the relationship between commuting and wellbeing in Europe. Travel Behav Soc. 2021; 23:108–119.
4. Kahneman D, Krueger AB, Schkade DA, Schwarz N, Stone AA. A survey method for characterizing daily life experience: the day reconstruction method. Science. 2004; 306(5702):1776–1780. PMID: 15576620.
5. Hahad O, Prochaska JH, Daiber A, Muenzel T. Environmental noise-induced effects on stress hormones, oxidative stress, and vascular dysfunction: key factors in the relationship between cerebrocardiovascular and psychological disorders. Oxid Med Cell Longev. 2019; 2019:4623109. PMID: 31814877.
6. Gottholmseder G, Nowotny K, Pruckner GJ, Theurl E. Stress perception and commuting. Health Econ. 2009; 18(5):559–576. PMID: 18709637.
7. Hämmig O, Gutzwiller F, Bauer G. Work-life conflict and associations with work- and nonwork-related factors and with physical and mental health outcomes: a nationally representative cross-sectional study in Switzerland. BMC Public Health. 2009; 9(1):435. PMID: 19943980.
8. Wang X, Rodríguez DA, Sarmiento OL, Guaje O. Commute patterns and depression: evidence from eleven Latin American cities. J Transp Health. 2019; 14:100607. PMID: 31853443.
9. Milner A, Badland H, Kavanagh A, LaMontagne AD. Time spent commuting to work and mental health: evidence from 13 waves of an Australian cohort study. Am J Epidemiol. 2017; 186(6):659–667. PMID: 28453601.
10. Organization for Economic Cooperation and Development (OECD). OECD family database: LMF2.6 time spent travelling to and from work. Updated December 1, 2016. Accessed August 19, 2022. https://www.oecd.org/els/family/LMF2_6_Time_spent_travelling_to_and_from_work.pdf .
11. Cigna. 2019 Cigna 360 well-being survey: well & beyond. Accessed August 19, 2022. https://resources.cigna.com/360-report/360-well-being-survey-report-2019 .
12. Organization for Economic Cooperation and Development (OECD). OECD policy responses to coronavirus (COVID-19): tackling the mental health impact of the COVID-19 crisis: an integrated, whole-of-society response. Updated May 12, 2021. Accessed August 19, 2022. https://www.oecd.org/coronavirus/policy-responses/tackling-the-mental-health-impact-of-the-covid-19-crisis-an-integrated-whole-of-society-response-0ccafa0b/ .
13. Pucher J, Korattyswaropam N, Mittal N, Ittyerah N. Urban transport crisis in India. Transp Policy. 2005; 12(3):185–198.
14. Cramer V, Torgersen S, Kringlen E. Quality of life in a city: the effect of population density. Soc Indic Res. 2004; 69(1):103–116.
15. Hoare E, Jacka F, Berk M. The impact of urbanization on mood disorders: an update of recent evidence. Curr Opin Psychiatry. 2019; 32(3):198–203. PMID: 30676331.
16. Werneck AO, Silva DR. Population density, depressive symptoms, and suicidal thoughts. Br J Psychiatry. 2020; 42(1):105–106.
17. World Bank Open Data. Population density (people per sq. km of land area) - OECD members. Accessed August 19, 2022. https://data.worldbank.org/indicator/EN.POP.DNST?end=2020&locations=OE&most_recent_value_desc=true&start=1961&view=map&year=2021 .
18. Korean Statistical Information Service (KOSIS). Resident population by city, county, and district. Updated August 3, 2022. Accessed August 19, 2022. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B040A3&conn_path=I2&language=en .
19. Korean Statistical Information Service (KOSIS). Lands by province · land category(districts/counties). Updated April 15, 2022. Accessed August 19, 2022. https://kosis.kr/statHtml/statHtml.do?orgId=116&tblId=DT_MLTM_2300&conn_path=I2&language=en .
20. Jin J, Jin E, Kim D. Commuting time and happiness in Seoul. J Korea Plan Assoc. 2017; 52(2):99–116.
21. Ko EJ, Jeon SB. The quality of life and commuting: considering time - use and income of Kyunggi resident. GRI Rev. 2017; 19(3):25–49.
22. Jeon H, Jin JM. Analyzing effects of commuting time on subjective life satisfaction and its values by household type and gender for the Seoul residents. Seoul Stud. 2020; 21(3):87–100.
23. Kim S, Kim Y, Lim SS, Ryoo JH, Yoon JH. Long commute time and sleep problems with gender difference in work–life balance: a cross-sectional study of more than 25,000 workers. Saf Health Work. 2019; 10(4):470–475. PMID: 31890330.
24. Topp CW, Østergaard SD, Søndergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom. 2015; 84(3):167–176. PMID: 25831962.
25. Korean Statistical Information Service (KOSIS). Population density by population census. Updated July 29, 2022. Accessed August 19, 2022. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B08024&conn_path=I2&language=en .
26. Stutzer A, Frey BS. Stress that doesn’t pay: the commuting paradox. Scand J Econ. 2008; 110(2):339–366.
27. Nie P, Sousa-Poza A. Commute time and subjective well-being in urban China. China Econ Rev. 2018; 48:188–204.
28. Christian TJ. Trade-offs between commuting time and health-related activities. J Urban Health. 2012; 89(5):746–757. PMID: 22689293.
29. Hilbrecht M, Smale B, Mock SE. Highway to health? commute time and well-being among Canadian adults. World Leis J. 2014; 56(2):151–163.
30. Kang SH, Boo YJ, Lee JS, Han HJ, Jung CW, Kim CS. High occupational stress and low career satisfaction of Korean surgeons. J Korean Med Sci. 2015; 30(2):133–139. PMID: 25653482.
31. Hansson E, Mattisson K, Björk J, Östergren PO, Jakobsson K. Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden. BMC Public Health. 2011; 11(1):834. PMID: 22039952.
32. Dzhambov A, Tilov B, Markevych I, Dimitrova D. Residential road traffic noise and general mental health in youth: the role of noise annoyance, neighborhood restorative quality, physical activity, and social cohesion as potential mediators. Environ Int. 2017; 109:1–9. PMID: 28917129.
33. Novaco RW, Kliewer W, Broquet A. Home environmental consequences of commute travel impedance. Am J Community Psychol. 1991; 19(6):881–909. PMID: 1793097.
34. Clark B, Chatterjee K, Martin A, Davis A. How commuting affects subjective wellbeing. Transportation. 2019; 47(6):2777–2805.
35. Roberts J, Hodgson R, Dolan P. “It’s driving her mad”: gender differences in the effects of commuting on psychological health. J Health Econ. 2011; 30(5):1064–1076. PMID: 21855154.
36. Yang SN, Shin CS. Work-family conflicts: challenges of working mothers with young children. Pogon Sahoe Yongu. 2011; 31(3):70–103.
37. Ju YJ, Park EC, Ju HJ, Lee SA, Lee JE, Kim W, et al. The influence of family stress and conflict on depressive symptoms among working married women: a longitudinal study. Health Care Women Int. 2018; 39(3):275–288. PMID: 29095122.
38. Peen J, Schoevers RA, Beekman AT, Dekker J. The current status of urban-rural differences in psychiatric disorders. Acta Psychiatr Scand. 2010; 121(2):84–93. PMID: 19624573.
39. Han C, Kim S, Lim YH, Bae HJ, Hong YC. Spatial and temporal trends of number of deaths attributable to ambient PM2.5 in the Korea. J Korean Med Sci. 2018; 33(30):e193. PMID: 30034305.
40. Haider M, Kerr K, Badami M. Does commuting cause stress? the public health implications of traffic congestion. SSRN Electron J. 2013; August. 3. DOI: 10.2139/ssrn.2305010.
41. Zijlema WL, Klijs B, Stolk RP, Rosmalen JG. (Un)healthy in the city: respiratory, cardiometabolic and mental health associated with urbanity. PLoS One. 2015; 10(12):e0143910. PMID: 26630577.
42. Zijlema WL, Avila-Palencia I, Triguero-Mas M, Gidlow C, Maas J, Kruize H, et al. Active commuting through natural environments is associated with better mental health: results from the PHENOTYPE project. Environ Int. 2018; 121(Pt 1):721–727. PMID: 30321847.
43. Jansen NW, Kant I, Kristensen TS, Nijhuis FJ. Antecedents and consequences of work-family conflict: a prospective cohort study. J Occup Environ Med. 2003; 45(5):479–491. PMID: 12769054.
44. Lee Y, Lee S, Kim YJ, Kim Y, Kim SY, Kang D. Relationship between of working hours, weekend work, and shift work and work-family conflicts among Korean manufacturers. Ann Occup Environ Med. 2022; 34(1):e20. PMID: 36147589.
45. Martin A, Goryakin Y, Suhrcke M. Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey. Prev Med. 2014; 69:296–303. PMID: 25152507.
46. Korean Statistical Information Service (KOSIS). Commuters and students by travel time and transportation (12 years old and over). Updated November 29, 2022. Accessed August 19, 2022. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1PA2004&conn_path=I2&language=en .
47. Dickerson A, Hole AR, Munford LA. The relationship between well-being and commuting revisited: does the choice of methodology matter? Reg Sci Urban Econ. 2014; 49:321–329.
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