Plate Nº 97 · recorded October 10, 2026
Health & Medicine ResearchReported finding
Physically Intense Work Tied to Heart Attack and Stroke After 50
A new Job Strain Intensity index built from 64,795 European workers over 50 links 67 physically intense tasks — cleaning, machinery, agriculture — to higher rates of heart attack, stroke and earlier chronic disease.
By Nathan Brooks3 min read532 words
In brief
- The study covered 64,795 adults across 27 European countries and Israel.
- Published in the Journal of Population Economics in 2026; authors are Giacomo Pasini of Ca' Foscari University of Venice and Petru Crudu of the University of Innsbruck.
- The new Job Strain Intensity index scores occupations using 67 high-strain tasks selected from an initial pool of 302 categories.
- Workforce-level data came from SHARE, the Survey of Health, Aging and Retirement in Europe.
- For several health outcomes, including stroke, the link between job strain and illness was stronger in women than men.
A study of 64,795 adults across 27 European countries and Israel ties decades of physically demanding work — from cleaning kitchens to operating heavy machinery — to higher rates of heart attack, stroke and chronic lung disease after age 50.
The research, published in the Journal of Population Economics in 2026, comes from Giacomo Pasini, professor of econometrics at Ca' Foscari University of Venice, and Petru Crudu of the University of Innsbruck, a former doctoral student at Ca' Foscari.
"Health also carries the imprint of the work we have done," Pasini said.
What did the researchers find?
Workers whose careers stacked up the most intense physical tasks reported worse health after 50. The link held after the authors accounted for childhood conditions, education, income and lifestyle factors such as smoking.
People in high-strain careers more often received diagnoses of heart attack, stroke and chronic lung disease. They also developed diabetes and hypertension at younger ages. Across the sample, these gaps persisted after the authors controlled for current income, education and country of residence.
For several outcomes, including stroke, the association with job strain was stronger among women than men.
The team used SHARE — the Survey of Health, Aging and Retirement in Europe — a panel that follows more than 50-year-olds across the continent. Pasini and Crudu reconstructed each respondent's employment history and assigned every occupation a physical intensity score.
How does the new index work?
Most occupational-health research relies on broad job titles: factory worker, farmer, cleaner. The new approach starts with 302 task categories drawn from standard job classifications.
The authors ran a statistical procedure to flag the activities most tightly tied to poor self-reported health in the SHARE data. Sixty-seven tasks made the cut. Top offenders include:
- Cleaning kitchens and bathrooms
- Operating heavy machinery
- Agricultural work
- Repair and maintenance
- Helping people wash and dress
- Unloading trucks and carrying heavy objects
- Electrical, construction and restoration work
The authors named their tool the Job Strain Intensity index. It scores each occupation by the share of tasks tied to later illness. Pasini said the tool could help employers and regulators target prevention, ergonomic upgrades and workplace safety rules where they matter most.
Why does gender matter?
For several health outcomes, the link between physical job strain and poorer health came out stronger for women than men. The authors do not explain why. SHARE relies on self-reports, and men and women may describe symptoms differently. Women are also overrepresented in some of the 67 high-strain tasks, though the paper does not test that hypothesis directly.
What are the limits of the study?
The analysis shows statistical associations, not proof that any specific job causes disease. SHARE collects self-reports and doctor diagnoses rather than measuring workplace exposure with sensors. People who left physically demanding work due to illness are likely underrepresented in the sample.
The authors also note that the index reflects European occupational data from the 2000s onward and may shift as automation, remote work and industry mix change.
Even with those caveats, the team argues the index could reshape how governments measure wear and tear across working lives — and how they decide who retires earliest.
via Medical Xpress (Source)
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