Prevalence and correlates of psychological distress in a large and diverse public sector workforce: baseline results from Partnering Healthy@Work

Table 4 Sequential log binomial regression models

	Men			Women
Variables	PR¹	95% CI²	p	PR	95% CI	p
Demographic variables
Age	0.97	0.94 – 1.00	0.016	0.97	0.95 – 0.99	0.007
Marital status	1.31	0.70 – 2.48	0.388	1.44	1.01 – 2.05	0.048
Job characteristics
Employment category	2.61	1.25 – 5.47	0.011	-	-	-
State Service tenure	0.98	0.95 – 1.01	0.147	0.99	0.96 – 1.01	0.240
Health-risk behaviours
BMI	1.03	0.97 – 1.09	0.396	1.02	0.99 – 1.05	0.143
Risky alcohol	1.24	0.68 – 2.26	0.479	1.17	0.79– 1.71	0.438
Daily smoker	1.86	0.89 – 3.92	0.101	1.35	0.88 – 2.09	0.168
Inadequate fruit and vegetable intake	-	-	-	1.27	0.88 – 1.80	0.200
Psychosocial factors
ERI²
Middle	0.79	0.30 – 2.05	0.624	1.52	0.75 – 3.11	0.246
Upper	3.37	1.52 – 7.47	0.003	5.28	2.91 – 9.75	<0.001
ROC ³	.7659			.7559

Correlates of high psychological distress for men and women participating in the Partnering Healthy@Work 2010 survey.
¹PR, Prevalence Ratio; CI, Confidence Interval.
²ERI, Effort-Reward Imbalance tertiles.
³ROC, Area under the Receiver Operating Characteristics curve
- Models for men and women were calculated separately.
- Reference categories: married or defacto, permanent employment, not risky alcohol, not daily smoker, ERI lower tertile. Age, state service tenure and BMI are continuous variables.
- Omitted categories, designated with a ‘-‘ identify that the variable did not make a contribution (p>0.05) to the ROC.

ISSN: 1471-2458