Environment International

Air pollution and temperature jointly linked to blood sugar

A cross-sectional analysis of 21,259 people without diabetes linked air pollution and temperature, including their interaction, to a measure of average blood sugar.

Paper by A. Jeong, J. Edstorp, G. Lovison, +30 more authorsN. Probst-Hensch · Swiss Tropical and Public Health Institute
Figure 1 from Environment International
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Figure 1. Jeong et al.

Our read

Populations
Studied:
Cross-sectional study of 21,259 participants without diabetes
What changed:
Improved air quality predicted lower blood sugar, while climate change-related temperature shifts predicted higher blood sugar
In the record:
The 20th paper on greenness with results in people; 28 on record in all.
Why it’s aging research:
It bears on staying healthy in midlife and later life.

Editor of record: Boris Djordjevic · AgingResearch.News

Follow @agingbrief

In 21,259 participants without diabetes from European cohorts, researchers assessed cross-sectional links between environmental exposures and glycated hemoglobin, a measure of average blood sugar. They analyzed 33,989 measurements collected between 1999 and 2021 alongside annual air pollution, greenery and temperature exposures.

Their statistical model identified coarse airborne particle concentrations, variation in daily average temperature and their interactions as potentially important. Scenarios involving improved air quality predicted lower blood sugar measurements, while scenarios involving climate change-related temperature shifts predicted higher measurements. The predicted benefits of cleaner air gained relevance under climate change, particularly among nonsmokers. The model did not select greenery as an influential factor, either alone or in combination with pollution or temperature.

Why it matters

Metabolic health is relevant to healthy aging. The authors argue that meeting World Health Organization air-quality guidelines may become increasingly important as the climate changes.

Caveats

The cross-sectional analysis cannot establish cause and effect, and the environmental scenarios were predictions rather than observed changes. The findings do not necessarily extend to people with diabetes.

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