| Literature DB >> 32765185 |
Masaki Machida1,2, Itaru Nakamura2, Reiko Saito3, Tomoki Nakaya4, Tomoya Hanibuchi4, Tomoko Takamiya1, Yuko Odagiri1, Noritoshi Fukushima1, Hiroyuki Kikuchi1, Shiho Amagasa1, Takako Kojima5, Hidehiro Watanabe2, Shigeru Inoue1.
Abstract
BACKGROUND: Self-isolation is an important personal protective measure in inhibiting the transmission of coronavirus disease 2019 (COVID-19) as people carry out economic and social activities amid its spread. Yet few studies have clarified the actual implementation status of self-isolation during an outbreak. This study aimed to reveal the actual implementation of self-isolation among Japanese workers during the COVID-19 outbreak and the factors inhibiting this measure.Entities:
Keywords: COVID-19; epidemiology; outbreak; pandemic; protective measures; public health; self-isolation; viral infection
Year: 2020 PMID: 32765185 PMCID: PMC7396451 DOI: 10.1186/s41182-020-00250-7
Source DB: PubMed Journal: Trop Med Health ISSN: 1348-8945
Participant characteristics
| Total | Did not experience cold-like symptoms a | Experienced cold-like symptoms | |||||
|---|---|---|---|---|---|---|---|
| n=1,226 (100%) | n=1,144 (93.3%) | n=82 (6.7%) | |||||
| n (%)/mean (SD) | n (%)/mean (SD) | n (%)/mean (SD) | p-value | ||||
| Sex (men) | 735 | 60.0% | 690 | 60.3% | 45 | 54.9% | 0.332d |
| Age, years | 46.3 | 13.5 | 46.4 | 13.5 | 45.5 | 13.3 | 0.517e |
| Underlying diseases b (yes) | 264 | 21.5% | 239 | 20.9% | 25 | 30.5% | 0.041d |
| Residential area (metropolitan area c) | 1,120 | 91.4% | 1,048 | 91.6% | 72 | 87.8% | 0.236d |
| Living arrangement (with others) | 938 | 76.5% | 872 | 76.2% | 66 | 80.5% | 0.379d |
| Educational attainment (university graduate level or above) | 744 | 60.7% | 698 | 61.0% | 46 | 56.1% | 0.379d |
| Household income level (≥ 5 million yen) | 768 | 62.6% | 718 | 62.8% | 50 | 61.0% | 0.747d |
| Occupation | |||||||
| Company employee | 761 | 62.1% | 716 | 62.6% | 45 | 54.9% | 0.095d |
| Self-employed | 107 | 8.7% | 97 | 8.5% | 10 | 12.2% | |
| Part-time job | 247 | 20.1% | 224 | 19.6% | 23 | 28.0% | |
| Government worker, Other | 111 | 9.1% | 107 | 9.4% | 4 | 4.9% | |
| Employment-related constraints that may obstruct self-isolation practices | |||||||
| Can work from home (no) | 640 | 52.2% | 592 | 51.7% | 48 | 58.5% | 0.235d |
| Will not be paid if leave is taken (yes) | 570 | 46.5% | 523 | 45.7% | 47 | 57.3% | 0.042d |
| May be terminated if leave is taken (yes) | 284 | 23.2% | 263 | 23.0% | 21 | 25.6% | 0.587d |
SD, standard deviation
a Fever or other cold symptoms
b Underlying diseases included heart diseases, respiratory diseases, kidney diseases, diabetes, and hypertension.
c Included Tokyo, Kanagawa, Saitama, and Chiba prefecture
p-value was calculated using d chi-square test or e t test, as appropriate
Behavior of participants who experienced cold-like symptoms within 7 days of symptom onset amid COVID-19 outbreak
| Total number of participants who experienced cold-like symptoms a | n=82 | |
|---|---|---|
| Status of implementation of strict self-isolation | ||
| n (%) | ||
| Implementing strict self-isolation | 14 | 17.1% |
| Did not go out | 9 | 11.0% |
| Went out for hospital visits only | 5 | 6.1% |
| Did not practice strict self-isolation | ||
| Went out for reasons other than hospital visits | 68 | 82.9% |
| Percentage of participants who went out to each location within 7 days after symptom onset | ||
| n (%) | ||
| Workplace | 51 | 62.2% |
| Shops for groceries or necessities | 58 | 70.7% |
| Event or gathering | 5 | 6.1% |
| Lessons (for leisure) | 5 | 6.1% |
| Restaurants | 17 | 20.7% |
| Other places for different reasons | 24 | 29.3% |
aParticipants who responded that they had experienced cold-like symptoms (fever or other cold symptoms) between February 17, 2020, and the day of the survey (May 12 to May 17)
Characteristics of patients who experienced cold-like symptoms categorized by whether they went to work within 7 days after symptom onset (n=82)
| Participants who experienced cold-like symptoms | Went to work within 7 days after symptom onset | |||
|---|---|---|---|---|
| n | n | % | p-value | |
| All | 82 | 51 | 62.2% | |
| Sex: | ||||
| Men | 45 | 26 | 57.8% | 0.363c |
| Women | 37 | 25 | 67.6% | |
| Age, years | ||||
| Older adults | 8 | 4 | 50.0% | 0.454c |
| Under 65 years | 74 | 47 | 63.5% | |
| Underlying diseases a: | ||||
| Yes | 25 | 12 | 48.0% | 0.079c |
| No | 57 | 39 | 68.4% | |
| Residential area: | ||||
| Metropolitan area b | 72 | 43 | 59.7% | 0.215c |
| Nonmetropolitan area b | 10 | 8 | 80.0% | |
| Living arrangement: | ||||
| With others | 66 | 39 | 59.1% | 0.239c |
| Alone | 16 | 12 | 75.0% | |
| Educational attainment: | ||||
| University graduate level or above | 46 | 30 | 65.2% | 0.523c |
| Below | 36 | 21 | 58.3% | |
| Household income: | ||||
| ≥ 5 million yen | 50 | 30 | 60.0% | 0.608c |
| < 5 million yen | 32 | 21 | 65.6% | |
| Occupation | ||||
| Company employee | 45 | 33 | 73.3% | 0.054d |
| Self-employed | 10 | 3 | 30.0% | |
| Part-time job | 23 | 13 | 56.5% | |
| Government worker, Other | 4 | 2 | 50.0% | |
| Employment-related constraints that may obstruct self-isolation practices | ||||
| Can work from home: | ||||
| Yes | 34 | 18 | 52.9% | 0.146c |
| No | 48 | 33 | 68.8% | |
| Will not be paid if leave is taken: | ||||
| Yes | 47 | 28 | 59.6% | 0.571c |
| No | 35 | 23 | 65.7% | |
| May be terminated if leave is taken: | ||||
| Yes | 21 | 13 | 61.9% | 0.975c |
| No | 61 | 38 | 62.3% | |
aUnderlying diseases included heart diseases, respiratory diseases, kidney diseases, diabetes, and hypertension
bIncluded Tokyo, Kanagawa, Saitama, and Chiba prefecture
p-value was calculated using c chi-square test or d Fisher’s exact test, as appropriate
The association between going to work within 7 days after symptom onset and each sociodemographic factor and employment-related constraints among participants who experienced cold-like symptoms (n=82)
| n | Odds ratio a (95% confidence interval) | |
|---|---|---|
| Sociodemographic factor | ||
| Sex: | ||
| Men | 45 | Ref |
| Women | 37 | 1.09 (0.32-3.75) |
| Age: | ||
| Older adults | 8 | 0.58 (0.10-3.30) |
| Under 65 years | 74 | Ref |
| Underlying diseases b: | ||
| Yes | 25 | Ref |
| No | 57 | 2.37 (0.69-8.09) |
| Residential area: | ||
| Metropolitan area c | 72 | 0.06 (0.00–0.79) * |
| Nonmetropolitan area c | 10 | Ref |
| Living arrangement: | ||
| With others | 66 | 0.41 (0.07-2.52) |
| Alone | 16 | Ref |
| Educational attainment: | ||
| University graduate level or above | 46 | 0.98 (0.19–5.03) |
| Below | 36 | Ref |
| Household income: | ||
| ≥ 5 million yen | 50 | 1.17 (0.32–4.30) |
| < 5 million yen | 32 | Ref |
| Occupation | ||
| Company employee | 45 | 25.81 (2.23-298.31) * |
| Self-employed | 10 | Ref |
| Part-time job | 23 | 5.62 (0.44–71.97) |
| Government worker, Other | 4 | 5.16 (0.18–148.50) |
| Employment-related constraints that may obstruct self-isolation practices | ||
| Can work from home: | ||
| Yes | 34 | Ref |
| No | 48 | 4.22 (1.02–17.43) * |
| Will not be paid if leave is taken: | ||
| Yes | 47 | 1.12 (0.19–6.47) |
| No | 35 | Ref |
| May be terminated if leave is taken: | ||
| Yes | 21 | 0.72 (0.16–3.27) |
| No | 61 | Ref |
*p-value: <0.05
aOdds ratios were calculated and adjusted for all individual variables
bUnderlying diseases included heart diseases, respiratory diseases, kidney diseases, diabetes, and hypertension
cMetropolitan area included Tokyo, Kanagawa, Saitama, and Chiba prefecture, and nonmetropolitan area included Ibaraki, Tochigi, and Gunma