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. 2023 Jul 25;19(2):2235964. doi: 10.1080/21645515.2023.2235964

Table 4.

Relationship between psychological distress factors, resilience, COVID-19 stressors and lack of confidence and risks of VHS scores.

  Lack of confidencea
Risksb
  Wave 2
Wave 1
Wave 2
Wave 1
Predictors Coef. 95% CI P Coef. 95% CI P Coef. 95% CI P Coef. 95% CI P
Psychological distress                        
Depression −0.2 (−2.3,2) .877 0.6 (−1,2.1) .456 −0.1 (−2.1,1.9) .91 0.6 (−1,2.1) .495
Anxiety 0.2 (−1.7,2.2) .808 −0.3 (−2,1.3) .702 0.5 (−1.5,2.6) .599 0.03 (−1.6,1.7) .974
Stress −0.5 (−2.2,1.3) .593 −1.7 (−3.2,-0.2) .025 −2.1 (−4.3,0.1) .062 −1.5 (−3.2,0.3) .103
Resilience −1.4 (−2.1,-0.6) <.001 −1.2 (−2.1,-0.3) .012 −1.4 (−2.3,-0.6) .001 −0.7 (−1.6,0.2) .110
Social support −0.04 (−0.5,0.4) .856 −0.4 (−1,0.1) .127 0.03 (−0.5,0.5) .899 −0.4 (−0.9,0.1) .121
Vaccine acceptance# −16.8 (−22.8,-10.7) <.001 - - - −7.5 (−10,-5) <.001 - - -
Any chronic condition 0.4 (−0.6,1.4) .455 −0.6 (−1.5,0.2) .119 0.7 (−0.4,1.8) .22 −0.3 (−1.1,0.5) .433
COVID-19 infection** - - - −0.6 (−2,0.8) .401 - - - −1.2 (−2.7,0.3) .124
Quarantined** - - - −0.9 (−2.5,0.6) .242 - - - −0.5 (−2.5,1.6) .663
COVID-19 Stressors                        
1. I might be infected
with COVID-19
0.4 (−0.5,1.2) .369 −1 (−1.9,-0.05) .038 1.1 (0.1,2.1) .024 0.04 (−1,1.1) .931
2. Family members
or friends might be
infected with
COVID-19*
- - - −0.2 (−1.3,0.8) .667 - - - 0.4 (−0.6,1.5) .446
3. I might die due to
COVID-19
0.5 (−0.6,1.7) .373 0.2 (−1.1,1.6) .709 0.2 (−1.1,1.5) .749 −0.1 (−1.4,1.2) .876
4. Family members
or friends might
die due to COVID- 19
−1 (−1.9,-0.1) .024 0.4 (−0.7,1.5) .476 −0.4 (−1.5,0.7) .432 0.9 (−0.2,2.1) .114
5. Overseas travel
restrictions#
−0.1 (−1,0.8) .851 - - - −0.3 (−1.3,0.7) .562 - - -
6. Working from home# −0.8 (−1.8,0.3) .163 - - - −0.2 (−1.4,1.1) .812 - - -
7. Restriction on
social gathering#
−0.2 (−1.1,0.7) .659 - - - 0.1 (−0.9,1.1) .795 - - -
8. Unemployment 1.3 (0.4,2.3) .005 1.4 (0.4,2.4) .004 1.8 (0.7,2.8) .001 0.7 (−0.2,1.7) .122
9. Financial loss,
such as losing
work opportunities
or having to take
unpaid leave*
- - - - - - - - - - - -
10. School closure −0.3 (−1.5,0.8) .578 0.1 (−0.8,1) .845 −0.6 (−1.8,0.6) .334 0.5 (−0.4,1.4) .258
11. Inadequate
preventive
measures from
government**
- - - 1.4 (0.1,2.6) .035 - - - 2.1 (0.9,3.3) .001
12. Inadequate stock
of face mask**
- - - −1.1 (−2.4,0.2) .111 - - - 0.4 (−0.9,1.7) .527
13. Inadequate stock
of food* **
- - - - - - - - - - - -
14. Inadequate daily
necessities such
as toilet papers**
- - - 0.5 (−1,2) .529 - - - −0.3 (−2,1.4) .745

aRegression coefficient was estimated using multivariable linear regression with adjustment for ethnicity and unemployment.

bRegression coefficient was estimated using multivariable linear regression with adjustment for age and ethnicity.

*Predictors were excluded in the regression analyses due to moderate multicollinearity (VIF = 2.04–2.12) with other covariates

#Not measured in wave 1; ** Not measured in wave 2.