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The corona blues according to daily life changes by COVID‐19: A partial least squares regression model

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  • Tae‐Hyoung Tommy Gim

Abstract

This study identifies determinants of the variation in depression resulting from COVID‐19, specifies in detail the changes to daily life, and then compares the determinants' magnitude. The determinants were combined into three groups: first, the unpredictability of the disease and side effects by its response measures (specifically, restrictions on the freedom of movement and strain on social relationships); second, (mis)information through social media, public authorities, and mass media; and third, income reductions and other sociodemographic factors. Daily life changes were divided into four categories: travel/mobility, time at home (alone and with family), domestic activities (remote work, online shopping, food deliveries, reading, and online networking), and conflicts (with family and neighbors). We measured the total 29 predictors using data from the 2020 Seoul Survey, which is based on face‐to‐face interviews with a probability sample of adult residents. We made our estimations using partial least squares regression, which can analyze all original variables regardless of collinearity. The regression model found that major stressors include declines in out‐of‐home offline networking and the rise of domestic activities—and subsequent conflicts with family—restrictions on mobility (specifically, those of leisure travel), and income reductions. In contrast, changes to working and shopping (to remote work and online shopping) rather than leisure increased uses of private transportation modes. Moreover, we found influences of all forms of communications and media to be insignificant. We shall also provide a discussion on policy and academic implications of the findings.

Suggested Citation

  • Tae‐Hyoung Tommy Gim, 2023. "The corona blues according to daily life changes by COVID‐19: A partial least squares regression model," Growth and Change, Wiley Blackwell, vol. 54(2), pages 386-403, June.
    • Handle: RePEc:bla:growch:v:54:y:2023:i:2:p:386-403
    DOI: 10.1111/grow.12655
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    References listed on IDEAS

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    1. Tae‐Hyoung Tommy Gim, 2018. "Land use, travel utility and travel behaviour: An analysis from the perspective of the positive utility of travel," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 169-192, March.
    2. Goulias , Konstandinos & Pendyala , Ram & Kitamura, Ryuichi, 1990. "Practical Method for the Estimation of Trip Generation and Trip Chaining," University of California Transportation Center, Working Papers qt2mt5c3c2, University of California Transportation Center.
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    5. Jihye Choi & Youjeong Park & Hye-Eun Kim & Jihyeok Song & Daeun Lee & Eunhye Lee & Hyeonjin Kang & Jeeho Lee & Jihyeon Park & Ji-Woo Lee & Seongeun Ye & Seul Lee & Sohee Ryu & Yeojeong Kim & Ye-Ri Kim, 2021. "Daily Life Changes and Life Satisfaction among Korean School-Aged Children in the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    6. Tae-Hyoung Tommy Gim, 2013. "The relationships between land use measures and travel behavior: a meta-analytic approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(5), pages 413-434, July.
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    8. Tae‐Hyoung T. Gim, 2021. "Partial least squares regression and importance–satisfaction analyses of the strategic drivers of happiness: A quality of life survey in Seoul, Korea," Growth and Change, Wiley Blackwell, vol. 52(1), pages 567-599, March.
    9. Goulias, Konstadinos G. & Pendyala, Ram M. & Kitamura, Ryuichi, 1990. "Practical Method for The Estimation of Trip Generation And Trip Chaining," University of California Transportation Center, Working Papers qt8zx9v3t2, University of California Transportation Center.
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