| Literature DB >> 35004587 |
Li Ping Wong1,2, Haridah Alias1, Mahmoud Danaee1, Hai Yen Lee2, Kit Mun Tan3, Peter Seah Keng Tok1,4, Mustakiza Muslimin5, Sazaly AbuBakar2,6, Yulan Lin2, Zhijian Hu2.
Abstract
Background: The confinement measures during COVID-19 had a massive effect on physical and psychological health in public. This study assessed the impact of containment and coping behaviour among the Malaysia public during the COVID-19 pandemic. Questions assessing the impact of containment and coping behaviours were developed and psychometrically tested.Entities:
Keywords: COVID-19; confinement measures; exploratory factor analysis; partial least squares; psychological
Mesh:
Year: 2021 PMID: 35004587 PMCID: PMC8728738 DOI: 10.3389/fpubh.2021.787672
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The trend of number of daily new cases in Malaysia and the survey period.
Factor loadings based principal component analysis with Varimax rotation for items related to impact and coping scales.
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| D8 | 0.717 | ||
| D5 | 0.702 | ||
| D6 | 0.690 | ||
| D4 | 0.626 | ||
| D10 | 0.577 | ||
| D9 | 0.407 | ||
| D12 | 0.793 | ||
| D11 | 0.730 | ||
| D13 | 0.708 | ||
| D7 | 0.459 | ||
| D2 | 0.882 | ||
| D1 | 0.835 | ||
| D3 | 0.528 | ||
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| 2.703 | 2.132 | 2.039 |
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| 20.795 | 16.404 | 15.688 |
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| E3 | 0.796 | ||
| E1 | 0.735 | ||
| E4 | 0.726 | ||
| E2 | 0.71 | ||
| E7 | 0.802 | ||
| E6 | 0.738 | ||
| E5 | 0.623 | ||
| E8 | 0.581 | ||
| E10 | 0.93 | ||
| E9 | 0.918 | ||
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| 2.483 | 2.095 | 1.821 |
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| 24.825 | 20.949 | 18.207 |
Demographic characteristic of study participants, COVID-19 coping and impact scores (N = 1,052).
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| 18–30 | 557 (52.9) | 8.0 (5.0–12.0) | 12.0 (9.0–15.0) | ||
| 31–40 | 272 (25.9) | 7.0 (5.0–11.0) | 0.009 | 12.0 (9.0–15.0) | 0.020 |
| >40 | 223 (21.2) | 7.0 (4.0–11.0) | 13.0 (10.0–15.0) | ||
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| Male | 283 (26.9) | 8.0 (5.0–12.0) | 0.22 | 12.0 (9.0–15.0) | 0.67 |
| Female | 769 (73.1) | 8.0 (5.0–11.0) | 12.0 (10.0–15.0) | ||
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| Single | 649 (61.7) | 8.0 (5.0–12.0) | 0.015 | 12.0 (10.0–15.0) | 0.053 |
| Married | 403 (38.3) | 7.0 (4.0–11.0) | 13.0 (10.0–15.5) | ||
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| Malay | 601 (57.1) | 8.0 (5.0–12.0) | 13.0 (10.0–16.0) | ||
| Chinese | 330 (31.4) | 7.0 (4.0–11.0) | 0.19 | 12.0 (9.0–14.0) | 0.001 |
| Indian | 63 (6.0) | 9.0 (5.0–11.0) | 13.0 (9.5–16.0) | ||
| Indigenous Sabah/Sarawak/Others | 58 (5.5) | 7.5 (5.0–12.0) | 12.0 (10.0–15.0) | ||
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| Secondary and below | 88 (8.4) | 9.0 (5.0–14.0) | 0.033 | 12.0 (9.0–15.5) | 0.99 |
| Tertiary | 964 (91.6) | 8.0 (5.0–11.0) | 12.0 (10.0–15.0) | ||
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| Professional and managerial | 490 (46.6) | 7.0 (4.0–11.0) | 13.0 (10.0–15.0) | ||
| General worker | 145 (13.8) | 10.0 (6.0–13.0) | 12.0 (9.0–15.0) | ||
| Student | 297 (28.2) | 8.0 (5.0–12.0) | 12.0 (10.0–15.0) | 0.089 | |
| Retired/Unemployed/Housewife | 120 (11.4) | 9.0 (5.0–13.0) | 12.0 (10.0–15.0) | ||
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| 3,000 and below | 401 (38.1) | 9.0 (6.0–13.0) | 12.0 (10.0–15.0) | ||
| 3,001–6,000 | 306 (29.1) | 8.0 (5.0–11.0) | 12.0 (10.0–15.0) | 0.28 | |
| 6,001 and above | 345 (32.8) | 6.0 (4.0–10.0) | 12.0 (9.0–15.0) | ||
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| Urban | 695 (66.1) | 8.0 (5.0–11.0) | 12.0 (10.0–15.0) | ||
| Sub-urban | 245 (23.3) | 7.0 (5.0–11.0) | 0.21 | 12.0 (10.0–15.0) | 0.73 |
| Rural | 112 (10.6) | 9.0 (5.0–13.0) | 13.0 (10.0–15.0) | ||
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| Northern | 147 (14.0) | 8.0 (5.0–13.0) | 12.0 (9.0–15.0) | ||
| Southern | 163 (15.5) | 8.0 (5.0–11.0) | 12.0 (9.0–15.0) | ||
| East coast | 100 (9.5) | 7.0 (4.5–11.0) | 0.74 | 14.0 (11.5–16.0) | 0.002 |
| Central | 589 (56.0) | 8.0 (5.0–11.0) | 12.0 (9.0–15.0) | ||
| Borneo island | 53 (5.0) | 8.0 (6.0–10.0) | 12.0 (11.0–15.0) | ||
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| Yes | 17 (1.6) | 9.0 (4.0–10.0) | 0.95 | 11.0 (10.0–15.0) | 0.87 |
| No | 1,035 (98.4) | 8.0 (5.0–12.0) | 12.0 (10.0–15.0) | ||
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| Yes | 168 (16.0) | 8.0 (5.0–11.0) | 0.97 | 12.0 (10.0–15.0) | 0.61 |
| No | 884 (84.0) | 8.0 (5.0–12.0) | 12.0 (10.0–15.0) | ||
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| Yes | 77 (7.3) | 8.0 (5.0–12.0) | 0.59 | 12.0 (10.0–15.0) | 0.80 |
| No | 975 (92.7) | 8.0 (5.0–11.0) | 12.0 (10.0–15.0) | ||
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| Very poor/Poor/Fair | 188 (17.9) | 9.0 (6.0–13.0) | 11.0 (8.0–14.0) | ||
| Good | 599 (56.9) | 8.0 (5.0–11.0) | 0.001 | 12.0 (10.0–15.0) | |
| Very good | 265 (25.2) | 7.0 (5.0–11.0) | 14.0 (11.0–16.0) | ||
Kruskal-Wallis test.
Mann-Whitney U test.
Post-secondary education received at universities, polytechnics and colleges.
1 MYR = 0.24 USD.
Figure 2Proportion of responses on COVID-19 impact (N = 1,052).
Results of Cronbach's alpha, composite reliability and average variance extracted.
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| Well-being and lifestyle | 0.763 | 0.831 | 0.452 |
| Psychological | 0.679 | 0.797 | 0.504 |
| Employment-related | 0.715 | 0.841 | 0.640 |
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| Mindfulness practice | 0.772 | 0.837 | 0.566 |
| Physical coping | 0.672 | 0.743 | 0.514 |
| Help-seeking | 0.866 | 0.937 | 0.882 |
Figure 3Proportion of responses on coping behaviors (N = 1,052).
Figure 4Path coefficients of the structural models predicting psychological, well-being and lifestyles, and employment related impacts.