Giornale Italiano Di Medicina Del Lavoro Ed Ergonomia

SPA131 | HEALTH SURVEILLANCE IN THE AGING WORKER: INTEGRATION OF OXIDATIVE, GENETIC AND MICROBIOME BIOMARKERS INTO THE ASSESSMENT OF WORK ABILITY

Cross-sectional study of 88 peopleBiomarkers
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Abstract

INTRODUCTION: The aging of the working population represents a growing challenge for occupational medicine, requiring health surveillance models to evolve toward more integrated and predictive approaches. Biological aging is not in itself an occupational risk factor, but a determinant of individual susceptibility, capable of modulating the response to occupational stressors and influencing work ability. In this context, oxidative stress emerges as a key mechanism in aging processes, while genetic factors and the gut microbiome contribute to interindividual variability. Integrating these biomarkers may improve the early identification of workers at risk. OBJECTIVES: To assess, in an aging working population, the association between oxidative stress biomarkers, genetic profile, gut microbiome and work ability, in order to identify early indicators of vulnerability and support health surveillance and personalized prevention strategies. METHODS: A multidimensional observational study conducted in n=88 workers (24–71 years) at a manufacturing company undergoing health surveillance. Clinical, occupational and lifestyle data were collected. Work ability (WAI), cognitive function (MoCA), sleep quality (PSQI) and quality of life (WHOQOL-BREF) were assessed. Oxidative stress biomarkers (8OHdG, 8OHG, diTYR, 3NT), blood chemistry parameters and cardiovascular risk were analyzed. Gut microbiome analysis and a genome-wide genetic study (GWAS) were performed. Regression models were used to identify associations between biomarkers and work ability. RESULTS AND CONCLUSIONS: A total of 88 workers at a manufacturing company were analyzed (mean age 44.25±11.16 years; 51.7% women). Mean BMI was 24.26±4.37, with a predominance of normal-weight individuals (68.9%). The mean work ability score (WAI) was 43.75±4.49, while 40.2% of participants had a MoCA score