Department of Ergonomics, School of Health, Shiraz University Of Medical Sciences, Shiraz, IR.
Department of Occupational Health, School of Public Health, Urmia University of Medical Sciences, Urmia, IR.
Ann Glob Health. 2019 Jul 3;85(1):96. doi: 10.5334/aogh.2515.
Assessing the work ability and factors affecting it is essential in developing strategies for preventing damages and managing risks. This study aimed to investigate the simultaneous effect of noise level and physiological strain as well as individual characteristics on the work ability.
The population in this cross-sectional study included workers of a rubber factory. The TES noise dosimeter was used to examine individual exposure and the electro polar RS100 was used to measure physiological strain index (PSI). Individual characteristics and the work ability index were evaluated using the WAI questionnaire and analyzed using SPSS version 19. chi-square test, pearson correlation coefficient, and one-way and multiple ANOVA were used for data analysis.
The final modeling showed that age, exercising period, Equivalent Continuous Sound Pressure Level (Leq), PSI and employment status had significant correlations with the work ability index (p < 0.05). The modified r2 for the obtained model was also calculated to be 0.483.
Based on the findings, number of exercising hours, employment status, age, Leq, and psi are among the factors affecting the work ability index. Use of management and engineering controls are recommended to balance work environments exposed to noise and heat and improve the work ability index. Further, improving employment status due to creating a sense of stability and reducing stress as well as enhancing lifestyle quality can be effective in increasing the work ability index.
评估工作能力和影响工作能力的因素对于制定预防损害和管理风险的策略至关重要。本研究旨在探讨噪声水平和生理应激的综合影响以及个体特征对工作能力的影响。
本横断面研究的对象包括一家橡胶厂的工人。使用 TES 噪声剂量计来检测个体暴露情况，使用 RS100 电极来测量生理应激指数（PSI）。使用 WAI 问卷评估个体特征和工作能力指数，并使用 SPSS 版本 19 进行分析。采用卡方检验、皮尔逊相关系数、单因素和多因素方差分析进行数据分析。
最终的模型显示，年龄、锻炼时间、等效连续声压级（Leq）、PSI 和就业状况与工作能力指数显著相关（p < 0.05）。所得到模型的修正 r2 也被计算为 0.483。
根据研究结果，锻炼小时数、就业状况、年龄、Leq 和 psi 是影响工作能力指数的因素之一。建议使用管理和工程控制措施来平衡暴露于噪声和热量的工作环境，提高工作能力指数。此外，通过创造稳定感和减轻压力以及提高生活质量来改善就业状况，可以有效提高工作能力指数。
