The Effects of Noise and Heat Strain on the Work Ability Index (WAI) among Rubber Factory Workers
| Autor: | Rasoul Hemmatjo, Zahra Zamanian, Reza Kazemi, Maryam Khalifeh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Employment Hot Temperature Work Capacity Evaluation Cross-sectional study media_common.quotation_subject Population Infectious and parasitic diseases RC109-216 Young Adult 03 medical and health sciences symbols.namesake 0302 clinical medicine Stress Physiological Occupational Exposure Statistics Humans Quality (business) Noise dosimeter 030212 general & internal medicine education Exercise Life Style Original Research media_common education.field_of_study 030503 health policy & services Age Factors General Medicine Middle Aged Pearson product-moment correlation coefficient Noise Cross-Sectional Studies Work (electrical) Chemical Industry Noise Occupational symbols Rubber Public aspects of medicine RA1-1270 0305 other medical science Psychology |
| Zdroj: | Annals of Global Health, Vol 85, Iss 1 (2019) Annals of Global Health |
| ISSN: | 2214-9996 |
| Popis: | Introduction: 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. Method: 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. Results: 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. Discussion and conclusion: 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. |
| Databáze: | OpenAIRE |
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