Chawla · The Science of the total environment 2020 · cross-sectional observational study · n=680

Exposure to a high selenium environment in Punjab, India: Biomarkers and health conditions.

Cited 66 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional observational study

PubMed 31862262 · doi:10.1016/j.scitotenv.2019.134541 · record verified 2026-08-29

What was done

Researchers collected blood, hair, and nail samples from 680 adult volunteers (267 men, 413 women) living across seven villages in a known seleniferous region of Punjab, India. Selenium concentrations were measured across all biological specimens. Participants completed questionnaires assessing dietary intake, lifestyle characteristics, potential exposure sources, and various adverse health conditions.

What was found

Serum and hair selenium concentrations were highly correlated with each other, whereas correlations with nail selenium were weaker. Hair and nail selenium levels were positively associated with the intake of local pulses, vegetables, and cereals, while serum selenium showed limited association with local food intake. Higher serum and hair selenium levels were linked to increased prevalence of selenosis symptoms, including hair and nail abnormalities and loss, garlic breath odor, nausea and vomiting, exertional breathlessness, chest pain, edema, worm infestation, and spontaneous abortion. No association was found with dermatitis or loss of appetite. The abstract does not provide exact numeric effect sizes, biomarker concentrations, or statistical confidence intervals.

Why it matters

This study provides field evidence on human biomarker behavior and toxicity profiles resulting from chronic environmental overexposure to selenium, suggesting that blood and hair are better biomonitoring markers than nails for selenosis.

Limits

The study is cross-sectional, preventing causal determination. The abstract omits numerical values, effect sizes, and biomarker concentrations, while noting statistical imprecision in effect estimates. Health conditions and dietary intake were gathered via self-reported questionnaires, introducing potential recall and misclassification bias.

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