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Updated: Mar 15, 2026

Clinical Testing and Spinal Cord Removal in a Mouse Model for Amyotrophic Lateral Sclerosis ALS

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Published on: March 17, 2012

Farming History, Insecticide Exposure, and the Risk of ALS Mortality.

Evelyn O Talbott¹, Angela M Malek², Ruopu Song³

¹Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA, eot1@pitt.edu.

Neuroepidemiology

|March 13, 2026

Summary

This summary is machine-generated.

Farming exposure, particularly long-term, increases the risk of Amyotrophic Lateral Sclerosis (ALS) death in women. This risk is amplified when combined with smoking, highlighting environmental factors in neurodegenerative disease.

Keywords:

Amyotrophic lateral sclerosis Environmental exposure Farming Pesticides Risk factors

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Area of Science:

Environmental Epidemiology
Neurodegenerative Diseases
Occupational Health

Background:

Amyotrophic Lateral Sclerosis (ALS) etiology is unknown in 90%-95% of cases.
Environmental and occupational exposures are suspected contributors to ALS.
Prospective studies on farming and insecticide exposure in women are limited.

Purpose of the Study:

To investigate the association between farming and insecticide exposure and ALS mortality risk in women.
To examine the combined effects of farming exposure and smoking on ALS risk.

Main Methods:

A nested case-control study within the Women's Health Initiative (WHI) Observational Study.
Included 151 ALS death cases and 1496 matched controls.
Used conditional logistic regression, adjusting for education, smoking, and physical activity.

Main Results:

Farming exposure was associated with a higher odds of ALS death (aOR=1.59).
Longer farming durations (15-19 years and ≥20 years) showed increased ALS mortality risk.
Combined farming and smoking exposure significantly elevated ALS death odds (aOR=2.10).

Conclusions:

Farming exposure is linked to increased ALS death risk in post-menopausal women.
Smoking exacerbates the ALS risk associated with farming exposure.
Future research should incorporate biomarkers and diverse cohorts.