| Literature DB >> 32781702 |
Young-Jae Kim1, Seung-Woo Kang1.
Abstract
This study aimed to create new classifications for occupations that have emerged from the COVID-19 pandemic in Korea, based on Reich's classifications for the United States. We examined Korean workers' occupational calling, psychological health, and quality of life. An online questionnaire was administered and data from 1029 Korean workers were analyzed. The questionnaire comprised the Korean version of the Multidimensional Calling Measure to assess occupational calling, the Psychosocial Well-being Index-short form for psychological health, and the Control, Autonomy, Self-realization, and Pleasure (CASP-19) scale for quality of life. We created a Korean-adapted version of the classes of occupation based on those created by the COVID-19 situation in the USA. Our results showed that Korean workers had a high perceived calling to work, and different classes showed different levels of quality of life and psychological health. We need a health concentration management system for essential groups or personal safety protection equipment should be provided. Education on infection control should be offered and effective medical system processes should be in place. We need to develop technology to respond to medical needs online, remotely, or telephonically. The government should implement policies to ensure job security and to improve wages and welfare.Entities:
Keywords: CASP-19; COVID-19; COVID-19 new classes of occupation; occupational calling; psychological health; quality of life; work environment
Mesh:
Year: 2020 PMID: 32781702 PMCID: PMC7460335 DOI: 10.3390/ijerph17165689
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Differences between the new classification of the occupations owing to the COVID-19 pandemic (as proposed by Reich [4], based on the United States of America context) and the adapted classifications proposed for the Korean setting.
| New Classes of Occupation Owing to the COVID-19 Pandemic Based on the USA Setting | New Classes of Occupation | ||
|---|---|---|---|
| The Remotes | Professional, senior, and technical workers who work in their own space without changes during the pandemic | The Remotes | Workers who can work from home without wage changes (at least 2 days per week) during the pandemic |
| The Essentials | Nurses, pharmacy staff, police officers, firefighters, and general office workers who work only in their own space and are essential in dealing with the pandemic | The Essentials-1 | Workers who work as before without wage changes during the pandemic |
| The Essentials-2 | Workers who work shorter hours or every other day without wage changes during the pandemic | ||
| The Unpaid | Workers who go to work same as before, but receive reduced wages or face unpaid leave; whose workplaces have temporarily closed; who are placed on standby; or who do not work during the pandemic | The Unpaid-1 | Workers who go to work the same as before, but receive reduced wages during the pandemic |
| The Unpaid-2 | Workers who work shorter hours or work every other day, but receive reduced wages during the pandemic | ||
| The Forgotten | People for whom social distancing during the pandemic is practically impossible, such as prison inmates, people in immigration detention centers, or migrant farm worker camps, Native American sanctuaries, and homeless people facilities | The Forgotten | Workers on unpaid leave; whose workplaces have temporarily closed; who have been placed on standby; or who do not work during the pandemic |
Participants’ occupational calling, psychological health, and quality of life according to their sociodemographic characteristics (N = 1029).
| Variable | Occupational Calling | F/t | Post Hoc Test | Psychological Health | F/t | Post Hoc Test | QoL | F/t | Post Hoc Test | |
|---|---|---|---|---|---|---|---|---|---|---|
| M ± SD | M ± SD | M ± SD | ||||||||
|
| ||||||||||
| Male | 546 (53.1) | 31.20 ± 4.97 | 22.13 ± 7.04 | 31.50 ± 8.59 | ||||||
| Female | 483 (46.9) | 29.92 ± 5.12 | 16.44 *** | 23.42 ± 6.94 | 8.73 *** | 29.02 ± 8.51 | 21.50 *** | |||
| Total | 1029 | 30.60 ± 5.08 | 22.74 ± 7.02 | 30.34 ± 8.64 | ||||||
|
| ||||||||||
| 20–29 years a | 68 (6.6) | 30.37 ± 5.45 | 22.74 ± 8.27 | 30.43 ± 10.38 | ||||||
| 30–39 years b | 559 (54.3) | 29.96 ± 5.24 | 22.86 ± 6.89 | 30.64 ± 8.40 | ||||||
| 40–49 years c | 289 (28.1) | 31.34 ± 4.69 | 6.06 *** | b > c, d | 22.70 ± 6.82 | 29.73 ± 8.75 | ||||
| 50–59 years d | 108 (10.5) | 32.02 ± 4.37 | 22.24 ± 7.36 | 30.19 ± 8.48 | ||||||
| 60 years or higher e | 5 (.5) | 31.80 ± 6.61 | 22.00 ± 9.41 | 33.40 ± 5.77 | ||||||
| Total | 1029 | 30.60 ± 5.08 | 22.74 ± 7.02 | 30.34 ± 8.64 | ||||||
|
| ||||||||||
| Single 1 | 468 (45.5) | 29.20 ± 5.14 | 23.63 ± 7.26 | 29.11 ± 9.11 | ||||||
| Married 2 | 543 (52.8) | 31.56 ± 4.83 | 21.46 *** | 1 > 2 | 21.96 ± 6.68 | 7.24 ** | 1 > 2 | 31.40 ± 8.12 | 9.01 *** | 1 > 2 |
| Widowed 3 | 18 (1.7) | 30.28 ± 5.15 | 22.94 ± 8.21 | 30.22 ± 7.67 | ||||||
| Total | 1029 | 30.60 ± 5.08 | 22.74 ± 7.02 | 30.34 ± 8.64 | ||||||
|
| ||||||||||
| <2 million KRW α | 160 (15.5) | 28.96 ± 4.94 | 24.85 ± 7.76 | 27.13 ± 9.80 | ||||||
| 2–3.99 million KRW β | 554 (53.8) | 30.10 ± 5.03 | 22.85 ± 6.71 | 30.03 ± 8.34 | ||||||
| 4–5.99 million KRW γ | 202 (19.6) | 31.99 ± 4.66 | 21.81 ± 6.64 | 32.01 ± 7.84 | ||||||
| 6–7.99 million KRW δ | 62 (6.0) | 32.47 ± 4.65 | 13.35 *** | α > β, γ, δ, ε, ζ | 20.98 ± 7.73 | 5.55 *** | α > γ, δ > | 32.61 ± 7.18 | 9.66 *** | α > β, γ, δ, ε, ζ |
| 8–9.99 million KRW ε | 33 (3.2) | 33.03 ± 5.36 | 21.48 ± 6.15 | 33.85 ± 8.54 | ||||||
| ≥10 million KRW ζ | 18 (1.7) | 34.33 ± 4.79 | 19.39 ± 8.22 | 35.39 ± 9.92 | ||||||
| Total | 1029 | 30.60 ± 5.08 | 22.74 ± 7.02 | 30.34 ± 8.64 | ||||||
|
| ||||||||||
| Watching cultural and art activities | 562 (54.6) | 31.10 ± 5.23 | 22.44 ± 6.97 | 30.51 ± 8.91 | ||||||
| Participating in cultural and art activities | 142 (13.8) | 32.01 ± 5.08 | 22.86 ± 6.32 | 32.46 ± 8.44 | ||||||
| Watching sports | 421 (40.9) | 31.00 ± 5.16 | 22.45 ± 6.94 | 30.79 ± 8.61 | ||||||
| Participating in sports | 225 (21.9) | 30.94 ± 5.25 | 22.88 ± 6.87 | 31.20 ± 8.62 | ||||||
| Going on tourism activities | 514 (50.0) | 31.19 ± 5.15 | 22.39 ± 7.08 | 30.85 ± 8.73 | ||||||
| Enjoying hobbies and entertainment | 601 (58.4) | 30.83 ± 5.37 | 22.45 ± 7.41 | 30.46 ± 9.24 | ||||||
| Resting (e.g., sleeping, listening to music, taking a siesta, drinking tea) | 891 (86.6) | 30.51 ± 5.06 | 22.71 ± 7.06 | 30.14 ± 8.60 | ||||||
| Participating in social and other activities | 324 (31.5) | 31.10 ± 5.22 | 22.60 ± 7.00 | 29.91 ± 8.38 |
KRW: Korean Won; QoL: Quality of life. M: Mean; SD: Standard Deviation; F: An F statistic is a value you get when you run an ANOVA test or a regression analysis to find out if the means between two populations are significantly different. t: In T-test, we measure how far is “the difference between two means” from “the null value”. While in ANOVA, we measure the difference (variability) between the groups; a: 20–29 years; b: 30–39 years; c: 40–49 years; d: 50–59 years; e: 60 years or higher; 1: Single; 2: Married; 3: Widowed; α: <2 million KRW; β: 2–3.99 million KRW; γ: 4–5.99 million KRW; δ: 6–7.99 million KRW; ε: 8–9.99 million KRW; ζ: ≥10 million KRW; *** p < 0.001, ** p < 0.01.
Correlations between COVID-19 new occupational class, calling, psychological health, and QoL (N = 1029).
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| the new classes of occupation owing to the COVID-19 pandemic | 1 | 1 | ||
| Psychological health | 0.191 ** | 1 | ||
| QoL | −0.175 ** | −0.703 ** | 1 | |
| Occupational Calling | 0.554 | −0.370 ** | 0.505 ** | 1 |
QoL: Quality of life; ** p < 0.01.
Participants’ calling, psychological health, and QoL according to our Korean-adapted version of the new classes of occupation owing to the COVID-19 pandemic (N = 1029).
| Variable | Occupational Calling | F/t | Post Hoc Test | Psychological Health | F/t | Post Hoc Test | QoL | F/t | Post Hoc Test | |
|---|---|---|---|---|---|---|---|---|---|---|
| M ± SD | M ± SD | M ± SD | ||||||||
| The Remotes ⅰ | 68 (6.6) | 32.37 ± 5.40 | 20.91 ± 7.16 | 32.71 ± 9.02 | ||||||
| The Essentials-1 ⅱ | 657 (63.8) | 30.32 ± 5.05 | 22.11 ± 6.74 | 30.97 ± 8.15 | ⅰ > ⅴ , ⅵ | |||||
| The Essentials-2 ⅲ | 53 (5.2) | 31.19 ± 5.12 | 22.87 ± 5.44 | ⅰ > ⅴ , ⅵ | 32.13 ± 8.68 | ⅱ > ⅴ , ⅵ | ||||
| The Unpaid-1 ⅳ | 108 (10.5) | 31.62 ± 4.34 | 3.53 ** | 23.61 ± 7.15 | 7.98 *** | ⅱ > ⅴ , ⅵ | 28.42 ± 8.42 | 7.54 *** | ⅲ > ⅴ | |
| The Unpaid-2 ⅴ | 68 (6.6) | 29.75 ± 5.79 | 25.68 ± 7.70 | 26.90 ± 9.60 | ||||||
| The Forgotten ⅵ | 75 (7.3) | 30.31 ± 4.90 | 25.89 ± 7.80 | 27.27 ± 9.89 | ||||||
| Total | 1029 | 30.60 ± 5.08 | 22.74 ± 7.02 | 30.34 ± 8.64 |
QoL: Quality of life; M: Mean; SD: Standard Deviation; F: An F statistic is a value you get when you run an ANOVA test or a regression analysis to find out if the means between two populations are significantly different. t: In T-test, we measure how far is “the difference between two means” from “the null value”. While in ANOVA, we measure the difference (variability) between the groups; *** p <0.001, ** p <0.01.
Figure 1MCM-K(Multidimensional Calling Measure), Participants’ occupational calling by our Korean-adapted version of the new classes of occupation owing the COVID-19 pandemic.
Figure 2CASP-19 (Control, Autonomy, Self-realization, and Pleasure), Participants’ quality of life by our Korean-adapted version of the new classes of occupation owing the COVID-19 pandemic.
Figure 3(PWI-SF, Psychosocial Well-being Index short form) Participants’ psychological health by our Korean-adapted version of the new classes of occupation owing the COVID-19 pandemic.