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Table 6 Variables associated with the hospital staff's general psychological distress (N = 469).

From: General hospital staff worries, perceived sufficiency of information and associated psychological distress during the A/H1N1 influenza pandemic

Independent Variables

Univariate Analyses

Multivariate Logistic Regression Analysis (1)

 

p-values

Odds ratios (95% CI) (2)

p-values

Demographics

   

   Sex

0.052 (3)

1. 1 (0.59 - 2.07)

0.751

   Age

0.559 (4)

1. 0 (0.96 - 1.03)

0.994

   Educational Level

0.257 (4)

0. 8 (0.66 - 1.09)

0.201

   Living alone

0.268 (3)

-

-

Profession

   

   Nurse

0.019 (3)

2. 2 (0.59 - 2.07)

0.046

   Medical

0.766 (3)

-

-

   Allied

0.037 (3)

1. 7 (0.64 - 4.71)

0.274

   Auxiliary

0.024 (3)

4. 5 (1.38 - 14.70)

0.013

Degree of worry about swine flu pandemic

0.005 (4)

1. 2 (1.01 - 1.35)

0.036

Perceived sufficiency of information about:

   

   A/H1N1 influenza symptoms

0.019 (4)

0. 9 (0.81 - 1.17)

0.760

   A/H1N1 influenza prognosis

0.789 (4)

-

-

   A/H1N1 influenza treatment

0.026 (4)

0. 9 (0.80 - 1.13)

0.581

   A/H1N1 influenza infection route

0.335 (4)

-

-

   A/H1N1 influenza preventive measures

0.131 (4)

-

-

Beliefs about a possible infection

   

   It would have major health consequences

0.044 (4)

1. 0 (0.86 - 1.23)

0.739

   It would be difficult to treat

0.001 (4)

1. 0 (0.91 - 1.29)

0.376

Department's efficacy

   

   They felt the department had provided clear information about the A/H1N1 influenza

0.049 (4)

1. 0 (0.88 - 1.17)

0.838

   They felt their department was well prepared for the A/H1N1 influenza pandemic

0.001 (4)

0. 9 (0.76 - 1.01)

0.060

Work satisfaction

< 0.0005 (4)

0. 8 (0.73 - 0.95)

0.009

  1. (1): Multivariate logistic regression analysis with dependent variable the General Health Index of GHQ-28 and independent variables the major demographic variables and the statistically significant variables of the univariate comparisons. The predictive values were calculated based on the probability of being "psychiatric case" and the cut-off value between "case" and "non-case" was 0.500. The multivariate regression analysis correctly classified 78.6% of the cases, with a Nagelkerke R Square = 0.147; (2): 95% confidence interval; (3): chi-square tests; (4): two-tailed t-test; All the VIFs for individual variables were less than 2 and all tolerances were close to 1.