| Literature DB >> 32407409 |
Huiyao Wang1, Qian Xia1, Zhenzhen Xiong2, Zhixiong Li3, Weiyi Xiang4, Yiwen Yuan1, Yaya Liu1,5, Zhe Li1.
Abstract
As the epidemic outbreak of 2019 coronavirus disease (COVID-19), general population may experience psychological distress. Evidence has suggested that negative coping styles may be related to subsequent mental illness. Therefore, we investigate the general population's psychological distress and coping styles in the early stages of the COVID-19 outbreak. A cross-sectional battery of surveys was conducted from February 1-4, 2020. The Kessler 6 psychological distress scale, the simplified coping style questionnaire and a general information questionnaire were administered on-line to a convenience sample of 1599 in China. A multiple linear regression analysis was performed to identify the influence factors of psychological distress. General population's psychological distress were significant differences based on age, marriage, epidemic contact characteristics, concern with media reports, and perceived impacts of the epidemic outbreak (all p <0.001) except gender (p = 0.316). The population with younger age (F = 102.04), unmarried (t = 15.28), with history of visiting Wuhan in the past month (t = -40.86), with history of epidemics occurring in the community (t = -10.25), more concern with media reports (F = 21.84), perceived more impacts of the epidemic outbreak (changes over living situations, F = 331.71; emotional control, F = 1863.07; epidemic-related dreams, F = 1642.78) and negative coping style (t = 37.41) had higher level of psychological distress. Multivariate analysis found that marriage, epidemic contact characteristics, perceived impacts of the epidemic and coping style were the influence factors of psychological distress (all p <0.001). Epidemic of COVID-19 caused high level of psychological distress. The general mainland Chinese population with unmarried, history of visiting Wuhan in the past month, perceived more impacts of the epidemic and negative coping style had higher level of psychological distress in the early stages of COVID-19 epidemic. Psychological interventions should be implemented early, especially for those general population with such characteristics.Entities:
Mesh:
Year: 2020 PMID: 32407409 PMCID: PMC7224553 DOI: 10.1371/journal.pone.0233410
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sample description.
| Variables | n (%) |
|---|---|
| 1599 (100.0) | |
| Gender | |
| Female | 1068 (66.8) |
| Male | 531 (33.2) |
| Age (mean 33.9±12.3, years) | |
| 18–30 | 722 (45.2) |
| 31–40 | 471 (29.5) |
| 41–50 | 254 (15.9) |
| >50 | 152 (9.5) |
| Marriage | |
| Unmarried | 685 (42.8) |
| Married | 914 (57.2) |
| History of visiting Wuhan | |
| No | 1273 (79.6) |
| Yes | 326 (20.4) |
| History of epidemics occurring in the community | |
| No | 1266 (79.2) |
| Yes | 333 (20.8) |
| less concerned | 16 (1.0) |
| Concerned | 141 (8.8) |
| more concerned | 428 (26.8) |
| extremely concerned | 1014 (63.4) |
| Changes over living situations | |
| feel relax | 209 (13.1) |
| no change | 479 (30.0) |
| feel nervous | 911 (56.9) |
| Emotional control | |
| no difficult | 832 (52.0) |
| less difficult | 304 (19.0) |
| Difficult | 70 (4.4) |
| more difficult | 70 (4.4) |
| extremely difficult | 323 (20.2) |
| Epidemic-related dreams | |
| No | 987 (61.7) |
| Less | 151 (9.4) |
| General | 115 (7.2) |
| More | 33 (2.1) |
| extremely large | 313 (19.6) |
| Negative | 547 (34.2) |
| Positive | 1052 (65.8) |
Psychological distress (K6 scores) of participants (n = 1599).
| Variables | Means (SD) | 95%CI | t/F | |
|---|---|---|---|---|
| 7.7 (7.7) | 7.36, 8.11 | |||
| Gender | -1.002 | 0.316 | ||
| Female | 7.6 (7.5) | 7.15, 8.05 | ||
| Male | 8.0 (8.1) | 7.32, 8.69 | ||
| Age category (mean33.9±12.3, years) | 102.04 | <0.001 | ||
| 18–30 | 11.1 (8.9) | 10.47, 11.76 | ||
| 31–40 | 5.2 (5.3) | 4.77, 5.73 | ||
| 41–50 | 4.8 (4.7) | 4.22, 5.36 | ||
| >50 | 4.3 (4.8) | 3.55, 5.08 | ||
| Marriage | 15.28 | <0.001 | ||
| unmarried | 10.9 (9.0) | 10.22, 11.57 | ||
| married | 5.4 (5.4) | 5.01, 5.72 | ||
| History of visiting Wuhan | -40.86 | <0.001 | ||
| No | 5.0 (4.8) | 4.70, 5.23 | ||
| Yes | 18.6 (7.1) | 17.80, 19.34 | ||
| History of epidemics occurring in the community | -10.25 | <0.001 | ||
| No | 6.8 (7.0) | 6.37, 7.14 | ||
| Yes | 11.5 (8.8) | 10.50, 12.40 | ||
| 21.84 | <0.001 | |||
| less concerned | 2.4 (2.6) | 1.10, 3.65 | ||
| concerned | 4.0 (3.9) | 3.34, 4.62 | ||
| more concerned | 6.9 (7.3) | 6.19, 7.58 | ||
| extremely concerned | 8.7 (8.0) | 8.21, 9.20 | ||
| Changes over living situations | 331.71 | <0.001 | ||
| feel relax | 2.4 (2.8) | 2.01, 2.78 | ||
| no change | 3.2 (3.0) | 2.94, 3.47 | ||
| feel nervous | 11.3 (8.2) | 10.81, 11.87 | ||
| Emotional control | 1863.07 | <0.001 | ||
| no difficult | 3.0 (2.8) | 2.84, 3.22 | ||
| less difficult | 5.6 (3.5) | 5.23, 6.01 | ||
| difficult | 8.9 (3.9) | 7.97, 9.80 | ||
| more difficult | 10.3 (5.1) | 9.11, 11.49 | ||
| extremely difficult | 21.0 (3.3) | 20.68, 21.39 | ||
| Epidemic-related dreams | 1642.78 | <0.001 | ||
| No | 3.6 (3.4) | 3.38, 3.80 | ||
| Less | 6.2 (3.8) | 5.62, 6.83 | ||
| general | 7.4 (4.5) | 6.54, 8.18 | ||
| More | 10.7 (4.6) | 9.13, 12.27 | ||
| extremely large | 21.4 (2.6) | 21.06, 21.65 | ||
| 37.41 | <0.001 | |||
| negative | 15.0 (8.3) | 14.31, 15.70 | ||
| positive | 4.0 (3.5) | 3.75, 4.17 |
* representing the differences of K6 scores among categorical variables by t-test or one-way analysis of variance
Factors’ values assigned in the stepwise multiple linear regression model.
| Variables | Value |
|---|---|
| Age | Primary Value |
| Marriage | 0 = Unmarried, 1 = Married |
| History of visiting Wuhan | 0 = No, 1 = Yes |
| History of epidemics occurring in the community | 0 = No, 1 = Yes |
| Concern with media reports related to the epidemic | Primary Value |
| Changes over living situations | Primary Value |
| Emotional control | Primary Value |
| Epidemic-related dreams | Primary Value |
| Coping style | 0 = Negative, 1 = Positive |
Stepwise multiple linear regression analysis for psychological distress (K6 scores) of participants (n = 1599).
| Variables | t | 95%CI | ||
|---|---|---|---|---|
| Constant | 3.526 | 13.939 | <0.001 | 3.030–4.022 |
| Marriage | -0.588 | -3.682 | <0.001 | -0.901– -0.275 |
| History of visiting Wuhan | 1.449 | 5.265 | <0.001 | 0.909–1.898 |
| Changes over living situations | 1.040 | 9.057 | <0.001 | 0.815–1.266 |
| Emotional control | 1.995 | 21.879 | <0.001 | 1.816–2.174 |
| Epidemic-related dreams | 1.597 | 16.964 | <0.001 | 1.412–1.782 |
| Coping style | -2.135 | -10.575 | <0.001 | -2.531–-1.739 |