The Ergonomic Behaviors Evaluation Tool (EBET) based on social cognitive theory for the assembly line workers: development and psychometric assessment.

BACKGROUND: Ergonomic behaviors play a crucial role in preventing work-related musculoskeletal disorders (WMSDs). To measure these behaviors, this research aimed to develop and evaluate an ergonomic behaviors tool (EBET) based on the Social Cognitive Theory (SCT) among women workers on assembly lines (WwAL). METHODS: The study was conducted from December 2022 to January 2023 with a focus on the psychometric assessment of EBET. Initially, a literature review and interviews were carried out to identify crucial concepts and primary items. The questionnaire's validity was evaluated using the Content Validity Ratio (CVR) and the Content Validity Index (CVI). To determine the domains of the tool, construct validity was examined by administering the items to 270 eligible women. The reliability of the tool was assessed using McDonald's Omega coefficient. RESULTS: From a total of 67 primary items, 50 were confirmed. The study demonstrated good validity with CVR = 0.92 and CVI = 0.97, along with reliable results indicated by McDonald's Omega coefficient of 0.74. The exploratory factor analysis (EFA) revealed ten distinct dimensions: outcome expectations, outcome expectancies, normative beliefs, perceived barriers, social support, observational learning, reinforcement, behavioral skills, self-efficacy, and intention. Together, these dimensions accounted for 66.25% of the variance in the data. Additionally, the confirmatory factor analysis results supported the presence of these ten constructs and demonstrated a satisfactory fit. CONCLUSIONS: EBET is a dependable and valid instrument for evaluating the ergonomic behaviors of workers, utilizing the principles of SCT. Researchers can employ EBET to gather data and implement suitable training interventions to enhance ergonomic behavior among WwAL. However, it is crucial to recognize that EBET may not encompass all facets of ergonomic behaviors. Therefore, it is imperative for future research to prioritize the evaluation of EBET's suitability among diverse worker populations and to consider additional dimensions of ergonomics to ensure its wider applicability and effectiveness.

Risk assessment of cold stress in petroleum transfer station in the northwestern regions of Iran: Subjective and field measurements.

Working in cold environments can have a variety of negative consequences on health, efficiency, quality, safety, and performance. The present study investigates the risk of cold stress in petroleum transfer centers in Iran's northwestern cold regions. The proposed method by ISO-15743 (E) was used to assess the risk of cold stress. The activity level (M) was calculated using the ISO 8996:2021 standard. The evaluation of local cooling, contact of cold surfaces, and hand and face temperature was performed using ISO 11079, ISO 13732-3, and ISO 9886, respectively. During their work, 28 outdoor site men and mechanics as a case group and 8 operators as a control group put through subjective analysis. According to the findings, the mean Icl,r, IREQmin, and IREQneutral were 1.59 ± 0.33, 2.1 ± 0.44, and 2.43 ± 0.45, respectively. The mean equivalent chill temperature was -13.83 ± 5.45, and workers were at risk of local cooling stress at levels 1 and 2. The case group showed greater losses in finger skin temperatures after short term exposure to extremely cold environments than the control group (P < 0.001). Based on the questionnaire results a significant percentage of workers performing the activity during the winter have more difficulty. Prolonged general and local cold exposure can cause pain, numbness, and frostbite in site men and mechanics. Careful planning, training, extensive distribution of cold protective clothing, rest periods, a relatively short stay in the cold environment, and proper equipment can greatly reduce these hazards.

Development and application of a fuzzy occupational health risk assessment model in the healthcare industry.

BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of hazards and managing the related risks. In this study, the researchers attempted to develop an easy-to-use and high applicability occupational health risk assessment model with a fuzzy approach to evaluate risks more precisely. METHODS: In this study, a fuzzy inference system (FIS) was designed and applied to develop a risk assessment model. CONCLUSIONS: This study showed that the developed model could be applied as a practical model for evaluating occupational health risks. The weight of each risk criterion was used to calculate the risk level by adopting a fuzzy approach. The risk assessment results construed using the fuzzy set theory provided a broad picture of risks and could work adequately in the presence of inaccurate and insufficient data to calculate the risk. This model calculates risk levels and provides us with the dispersion and distribution of the calculated value of the risk number.

Validity and consistency assessment of accident analysis methods in the petroleum industry.

Background. Accident analysis is the main aspect of accident investigation. It includes the method of connecting different causes in a procedural way. Therefore, it is important to use valid and reliable methods for the investigation of different causal factors of accidents, especially the noteworthy ones. Objective. This study aimed to prominently assess the accuracy (sensitivity index [SI]) and consistency of the six most commonly used accident analysis methods in the petroleum industry. Methods. In order to evaluate the methods of accident analysis, two real case studies (process safety and personal accident) from the petroleum industry were analyzed by 10 assessors. The accuracy and consistency of these methods were then evaluated. The assessors were trained in the workshop of accident analysis methods. Results. The systematic cause analysis technique and bowtie methods gained the greatest SI scores for both personal and process safety accidents, respectively. The best average results of the consistency in a single method (based on 10 independent assessors) were in the region of 70%. Conclusion. This study confirmed that the application of methods with pre-defined causes and a logic tree could enhance the sensitivity and consistency of accident analysis.