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Pengaruh Kebisingan, Glukosa Darah, dan Indeks Massa Tubuh terhadap Kadar Laktat pada Pekerja Industri Tekstil Sumardiyono, Sumardiyono; Chahyadhi, Bachtiar; Suratna, Farhana Syahrotun Nisa; Fauzi, Rachmawati Prihantina; Wijayanti, Reni; Widjanarti, Maria Paskanita; ‘Ada, Yeremia Rante
Jurnal Penelitian Pendidikan IPA Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6009

Abstract

Occupational fatigue remains a prevalent concern in occupational health. This study investigated the association between noise intensity, blood glucose levels, body mass index (BMI), and lactate levels as an indicator of occupational fatigue among textile industry workers in Surakarta, Indonesia. An analytical observational study with a cross-sectional design was conducted, with 82 participants recruited from a local textile industry. Multivariate analysis using multiple binary logistic regression revealed that noise intensity, blood glucose levels, and BMI were significant risk factors for occupational fatigue, as indicated by elevated lactate levels. These findings highlight the importance of noise reduction measures, a healthy lifestyle, and regular monitoring of blood glucose levels and BMI to mitigate occupational fatigue among textile industry workers
The Effect of Working Posture on Physical Fatigue Among Textile Workers with Age, Length of Service, and Body Mass Index as Covariates Sumardiyono, Sumardiyono; Suratna, Farhana Syahrotun Nisa; Chahyadhi, Bachtiar; Widjanarti, Maria Paskanita; Wijayanti, Reni; Ulfah, Nur
Journal of Health and Nutrition Research Vol. 4 No. 3 (2025)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v4i3.533

Abstract

Physical fatigue among textile workers is caused by non-ergonomic working postures (e.g., prolonged standing) and personal characteristics such as age, length of service, and body mass index (BMI). The objective of the present investigation was to study the effect of working posture on physical fatigue after adjusting for the covariates of age, length of service, and BMI. An analytical cross-sectional study with a quantitative design was applied to 174 Surakarta workers selected by stratified random sampling. Work posture was categorized under standing and sitting, while physical fatigue was measured by the Subjective Self Rating Test (SSRT) questionnaire. ANCOVA via SPSS version 27 software was applied for the analysis, in which age, length of service, and BMI were employed as covariates. The findings indicated that the standing posture was strongly influenced positively on physical fatigue (Partial Eta Squared = 0.547, p < 0.001), and the effect size is large. Significant risk factors were also found to be age (p = 0.012) and BMI (p = 0.035), but the length of service was not significant (p = 0.084). The ANCOVA model also showed excellent predictability values of adjusted R 2 = 0.715, which implied that the model was able to explain 71.5 percent of the physical fatigue. These findings emphasize the importance of posture-based ergonomic interventions to prevent fatigue and improve occupational health in the textile industry