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Background and aims: Construction is one of the most dangerous industries in the worldwide. Workplace safety is a complicated phenomena and behavioral safety in the construction industry is even more so. The Aim of this study was the development of a new model for understanding the factors influencing unsafe behavior in construction industry. Methods: In the current quantitative study, a three-stage Structural Equation Model (SEM) was conducted on two main construction workplaces in Iran. In the first stage, the measurement model was tested by confirmatory factor analysis. Then, a modified structural model was extracted for the workplace 1. Finally, the modified model was evaluated in the workplace 2. LISREL 8.8 was used for data analysis process. Results: Goodness-of-fit indices indicated the modified structural model in the workplace 1 was confirmed in the workplace 2 (GFI=0.93 SRMR=0.04 RMSEA=0.06 CFI=0.97 NFI=0.98 χ2/df=1.98). Client safety climate had the highest correlation (SPC=0.87, t-value=16.21) with overall safety climate. Attitudes and beliefs had the greatest correlation (SPC=0.87, t-value=13.34) with overall individual factors. The physical condition had the highest correlation (SPC=0.77, t-value=7.69) with the overall safety performance. Conclusion: For implementing of the effective interventions in the construction industry, we must use an integrated and good-fit model to understanding factors influencing unsafe behavior. The current model can help us to understanding the factors influencing unsafe behavior in construction projects.

Asthma and allergic diseases present a major health burden. Information on the prevalence of these diseases indicates that these diseases are increasing in various parts of the world. It was hoped that this study would be helpful to health system policy-makers in planning allergy prevention programs in the region.The prevalence of asthma and allergic diseases and relation between the various risk factors involved were assessed among schoolchildren in the city of Bushehr, Iran. The ISAAC Phase I and III questionnaires were completed by parents of 1280 children aged 6-7 years and self-completed by 1115 students aged 13-14 years.The prevalence of atopic eczema, allergic rhinitis and asthma among 6-7 year-old students were 12.1%, 11.8% and 6.7%, respectively. While, the prevalence of these diseases among 13-14 year-old students were found to be 19%, 30% and 7.6%, respectively. There was an association between asthma and allergic rhinitis as well as eczema (p

Background and aims: The construction industry continues to rank among the most dangerous industries worldwide. The aim of this study was to investigate the factors influencing unsafe behavior in the construction industry from the perspective of experienced workers, supervisors and managers. Methods: Triangulation approach was used for data generation in this grounded theory study. Sixty nine participants from a variety of work groups took part in focus group interviews, individual interviews, field observations, and focus group discussions. Thematic analysis was conducted to emerge and identify the contributing factors. Results: The thematic analysis identified six main categories as influencing factors of unsafe behaviors, namely: (1) Social (2) Organizational (3) Contractor (4) Supervision and system safety (5) Unsafe condition and (6) Individual characteristics. Conclusion: Our findings indicated the significant role of social and organization factors as the precondition of unsafe conditions and behaviors. These results can be used to improve safe behaviors on construction sites. Keyword: Unsafe behavior Conceptual model Grounded theory Construction industry

Background and aims: Accidents and injuries are a cause for concern for all countries in the world. Cognitive failures can be defined as cognitive-based errors on simple tasks that a person should normally be able to complete without fault these mistakes include problems with memory, attention or action. The present study was designed to investigation of relationships between occupational cognitive failures and safety performance among bus drivers. Methods: In this descriptive analytical study, 129 bus drivers completed an occupational cognitive failure questionnaire (OCFQ) and the DBQ as well as answered questions on accident involvements. Correlation and regression analysis were used for data processing. Results: Occupational cognitive failures have a significant direct positive effect on all driving unsafe behaviors including intended and unintended violations, slips and mistakes. Conclusion: For assessment of safety performance in occupational driving jobs, we must use a valid instrument. The cognitive failures can predict bus drivers’ engagement in safe or unsafe behaviors.