Psychological demands on the job were somewhat associated with gender and daily work time.
The total HPLSP score was positively correlated with job position (r = 0.168, P < 0.001) but negatively correlated with daily work time (r=−0.127, P < 0.001).
(Table 4) Table 5 shows the association between subjects' characteristics (gender, job, work experience, daily work time), C-JCQ and HPLSP scores, and stress symptoms as determined by binary logistic regression analysis.
To reduce ERI and overcommitment, several organisational changes may be considered: daily work time could be reduced; staff levels could be increased, especially as regards housekeepers and nursing assistants; team discussion could be promoted.
Participants with longer daily work times had more stress-related symptoms, except for irritability and insomnia.
(Table 3) Daily work times were positively correlated with psychological demands, discretion in use of skills and decision-making authority.
Staff with longer daily work times performed less well in nutrition, indicating that time constraints on the job interfered with their ability to eat well.
Longer daily work times were associated with significantly higher psychological demands on the job, discretion in utilizing skills, and decision-making authority.
Most subcategories (Self-actualization, Exercise, Nutrition, Stress management) were negatively correlated with daily work times, as staff who worked longer had less self-actualization, did less exercise, cared less about nutrition, and did not manage stress well.
r, coefficient of correlation of health-promoting life-style profiles with gender was derived through the point biserial correlation analysis (male, 1; female, 2); with job position through the point multiserial correlation analysis (physician, 1; nurse, 2; medical technician staff, 3; administrative staff, 4); with work experience or with daily work times through Spearman's correlation analysis.
r, coefficient of correlation of Job Content Questionnaire with gender was derived through the point biserial correlation analysis (male, 1; female, 2); with job position through the point multiserial correlation analysis (physician, 1; nurse, 2; medical technician staff, 3; administrative staff, 4); with work experience or with daily work times through Spearman's correlation analysis.
