SPSS analysis for predicting the occupational health and safety of sawmill workers in the wood processing industries in Kerala, India
2025
Prasanth Narayan | V. Arutchelvan | Susan Jacob | Mahammadsalman Warimani | Sher Afghan Khan | M. Sonachalam | Chandra Shekar | Ali Majdi | Sameer Algburi | Abduljabar H. Ali | Wahaj Ahmad Khan | N Channa Keshava Naik
Abstract This study examines how sawmill workers in Kerala, India’s occupational health is affected by dust exposure and equipment noise, with a particular emphasis on lung function and noise-induced hearing loss (NIHL). One-way analysis of variance and Scheffé post hoc multiple comparisons were utilized to analyze the data using SPSS Version 26. Measurements were taken for key lung function parameters—forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and the ratio of FEV1 to FVC (FEV1/FVC)—along with hearing threshold levels (HTL) at frequencies from 250 to 8000 Hz. The findings indicated statistically significant differences (P < 0.05) in lung function indices and HTL across different noise exposure levels, with the exception of the profound noise exposure group (G5). Notably, workers exhibited a greater propensity to expose their right ear to noise sources, suggesting a behavioral factor in NIHL. Additionally, noise interference from multiple simultaneously operating machines was identified as contributing to hearing loss. These results demonstrate how urgently improved workplace safety measures—such as efficient dust management, the use of personal protective equipment (PPE), routine health examinations, and thorough worker training programs—are needed. By putting these strategies into practice, occupational health hazards may be considerably reduced, increasing the general health and safety of sawmill workers.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
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