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Table 4 Sequential log binomial regression models

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

  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
  1. Correlates of high psychological distress for men and women participating in the Partnering Healthy@Work 2010 survey.
  2. 1PR, Prevalence Ratio; CI, Confidence Interval.
  3. 2ERI, Effort-Reward Imbalance tertiles.
  4. 3ROC, Area under the Receiver Operating Characteristics curve
  5. - Models for men and women were calculated separately.
  6. - 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.
  7. - Omitted categories, designated with a ‘-‘ identify that the variable did not make a contribution (p>0.05) to the ROC.