Journal of Health and Safety at Work

---

Introduction: Manual dexterity impairment due to wearing latex and nitrile gloves among health care employees and laboratory personnel can be a remarkable problem because of its adverse outcomes. The present study was conducted to “compare the effect of using latex and nitrile laboratory gloves on hand dexterity”.

.

Material and Method: In a semi experimental study design, 30 university were students randomly selected from Urmia University of medical sciences. Subjects assigned in three experimental conditions, such as the control condition (without gloves), with latex glove and with nitrile gloves. Then, dexterity level of fine finger and gross of the subjects were calculated using the Purdue pegboard test. Repeated measures one-way ANOVA test and T-test and Pearson’s correlation coefficient were used for statistical analysis.

.

Results: The result showed that the differences between three groups of laboratory conditions from the level of gross and fine finger dexterity were statistically significant (p‹0.05). As the latex gloves showed significant and positive effect on gross and fine finger dexterity comparable with nitrile gloves and control group but there was no significant difference between the gross and fine finger dexterity of nitrile gloves when comparing with the control group. In other words, the nitrile gloves had not negative effect on gross and fine finger dexterity.

.

Conclusion: Considering that there was no significant difference in the score of both fine finger and gross hand dexterity while using nitrile gloves as compared to the control condition (without gloves), means that use of nitrile gloves has no adverse effect on hand dexterity therefore, using nitrile gloves is recommended as a alternative for the latex gloves, considering the additional advantage of no allergic reaction in this gloves.

---

Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this model with the multivariate regression model.
Material and Methods: In order to do that, 892 participants were selected randomly in different job categories. Then, 15 dimensions of Bar-On questionnaire, 10 job categories, age and education were considered as input variables and 7 dimensions of health and safety executive HSE were determined as output variables in models.
Results: The results revealed that an artificial neural network with hyperbolic tangent and sigmoid transfer functions respectively in hidden and output layers with 375 hidden neurons had significantly better performance than multivariate regression. So that, correlation of predicted values and job stress were only between 0.192-0.364 in regression model, but neural network had at least correlation 0.527 in all dimensions of job stress.
Conclusion: In predicting job stress using emotional intelligence, artificial neural network method was much better than multivariate regression model.