Author: Kuroishi, M.; Nagata, T.; Hino, A.; Tateishi, S.; Ogami, A.; Tsuji, M.; Matsuda, S.; Fujino, Y.; Mori, K.
Title: Prospective cohort study of socioeconomic status and subsequent unemployment under COVID-19 in Japan Cord-id: 9mr1tx5o Document date: 2021_8_4
ID: 9mr1tx5o
Snippet: Background: This study examined the relationship between socioeconomic status (SES) and subsequent unemployment. Methods: This prospective cohort study was conducted using a self-administrated questionnaire in Japan. SES, personal characteristics, and occupation of recruited workers were surveyed at baseline (December 22-25, 2020); subsequent unemployment was examined at follow-up (February 18-19, 2021). We determined the odds ratios (ORs) of unemployment for SES and other variables using a mult
Document: Background: This study examined the relationship between socioeconomic status (SES) and subsequent unemployment. Methods: This prospective cohort study was conducted using a self-administrated questionnaire in Japan. SES, personal characteristics, and occupation of recruited workers were surveyed at baseline (December 22-25, 2020); subsequent unemployment was examined at follow-up (February 18-19, 2021). We determined the odds ratios (ORs) of unemployment for SES and other variables using a multilevel logistic model. Results: Among all 19,941 participants, 2.3% reported experience of unemployment through negative reasons. Multivariate analysis showed the OR and 95% confidence interval for unemployment associated with age to be 0.66 (0.47-0.92) for 30-39 years, 0.36 (0.25-0.51) for 40-49, 0.36 (0.25-0.53) for 50-59, and 0.43 (0.27-0.67) for more than 60 compared with 20-29 years. The association with annual household income was 2.96 (1.94-4.50) for <2 million yen and 1.51 (1.03-2.22) for 2-4 million yen compared with >10 million yen. The association with marital status was 1.43 (1.04-1.98) for bereaved/divorced compared with married (working spouse). The association with occupation was 1.75 (1.35-2.29) for temporary or contract employees and 2.11 (1.04-4.30) for agriculture, forestry, or fishing compared with general employees. The association with job type was 1.69 (1.34-2.15) for mainly manual labor. Conclusion: We observed a relationship between SES and subsequent unemployment under COVID-19. It is necessary to provide broad, ongoing support in the form of both short-term assistance and long-term job training and health care.
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