The relationship between psychosocial variables and workplace violence was assessed by binary logistic regression analysis.
Independent variables of workplace characteristics include the following: clinic type, co-worker mix, and characteristics such as whether the clinic provided in-patient care, had internet access, served as a reference hospital, available diagnostics, laboratory services, workplace challenges, and improvement strategies used to gain skills.
Second, univariable analysis was performed, using Pearson's Chi-square test, to determine an association between individual attributes (independent variables) and the choice of workplace (dependent variables); in this case, dependent variables were coded either 'rural preference' , if respondents chose to work in community hospitals, or 'urban preference', if they selected other options.
The only variable of the workplace factors found its relationship with the knowledge was the belonging of the health services.
Workplace variable and pain severity were compared between nursing assistants and other job titles using Wilcoxon two-sided test (statistical significance at p = 0.05).
The dependent variable was nurses' workplace well-being, The validated Positive and Negative Occupational Stress Inventory (PNOSI) consists of two parts: the negative stress scale, with nine items (α = 0.82, inter-item correlation 0.38), and the positive stress scale, with eight items (α = 0.88, inter-item correlation 0.39).
In some cases, variables such as workplace violence or job satisfaction were independent variables predicting outcomes meeting inclusion criteria; in these cases, results relating to such variables were extracted and synthesized (e.g. results relating to the relationship between job satisfaction and turnover).
The workplace variables were summarized to reduce collinearity among independent variables and to reduce their total number for regression modeling.
Hence, this questionnaire should be used to assess factors underlying physician-prescribing behaviour in hospital and primary care, along with other possible variables, such as socio-demographic or professional-practice variables (medical specialisation, workplace and workflow).
Secondly, lifestyle factors (such as alcohol intake, smoking, obesity) may vary with workplace variables and employment status, such that the impact of unemployment on CVD is mediated by these variables [ 8].
