The study aimed to develop a predictive nomogram capable of estimating individual risk within noise-exposed petrochemical workers.
The nomogram offers a potentially useful occupational risk-stratification tool, but external validation in other occupational cohorts is needed before adoption in hearing conservation programmes.
A validated predictive nomogram could enable targeted audiological surveillance and early intervention for high-risk workers in noisy industries, improving occupational hearing conservation outcomes.
- 01A nomogram (personalised risk prediction chart) was developed for noise-induced hearing loss in petrochemical workers.
- 02Key predictive factors likely include age, duration of noise exposure, and individual health variables.
- 03The model was built from an occupational cohort — a real-world, industry-specific population.
- 04Nomograms require external validation before clinical adoption in hearing conservation programmes.
- 05Findings are most directly relevant to occupational health audiologists and industrial hygienists.
A nomogram model can predict individual noise-induced hearing loss risk among petrochemical workers based on identified influencing factors.
studypartially supported- PMID
- 42182581
- DOI
- 10.1016/j.puhip.2026.100800.
- Journal
- Public Health in Practice
- Publication type
- research_article
- Evidence level
- 2b
- Population
- Noise-exposed petrochemical workers
- Intervention
- Occupational noise exposure
Primary outcomes
Prediction of noise-induced hearing loss risk; Identification of key influencing factors
