Skip to main content
. 2021 Mar 24;9:49. doi: 10.1186/s40359-021-00526-5

Table 3.

Binary logistic regression; Elevated depressive symptoms and anxiety by gender, work experience and by health and occupational factors (n = 356)

Predictors Depressive symptoms Anxiety
ORa (95% CI) P ORa (95% CI) P
Gender
 Male 1 1
 Female 1.531 0.881–2.686 0.130 1.522 0.872–2.655 0.080
Work experience (years)
 Less than 1 1 1
 2–5 0.470 0.196–1.126 0.090 0.527 0.225–1.238 0.142
 5–10 0.893 0.322–2.480 0.828 1.196 0.438–3.268 0.727
 More than 10 0.546 0.219–1.362 0.194 0.777 0.318–1.900 0.581
 Poor self-confidence 1.230 0.756–2.001 0.404 2.527 1.559–4.095 0.000
 Poor psychological support 0.966 0.522–1.788 0.911 1.053 0.568–1.952 0.870
 Poor occupational safety 2.063 1.255–3.391 0.004 1.485 0.907–2.429 0.116
 Stigmatization 2.197 1.295–3.727 0.004 1.351 0.808–2.260 0.251
 Inadequate PPE 0.864 0.527–1.416 0.562 1.024 0.626–1.677 0.923
 Heavy workload 2.454 1.535–3.925 0.000 1.948 1.221–3.109 0.005
Model summary
 X2c 8.7 4.2
 H–L goodness-of-fitb 0.336 0.835
 −2 Logd 442.7 445.5

The reference category is 1 and bold p values denote statistical significance at the p < 0.05 level

aOR refers to odds ratio

bH–L goodness of fit refers to the Hosmer–Lemeshow goodness-of fit statistics

cx2 refers chi-square

d − 2 log refers − 2 log likely hood