Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Rising temperatures, shifting population: Changes in children's ambient heat exposure in China.

Created on 03 Nov 2026

Authors

Kai Feng, Marco M Laghi, Jere R Behrman, Emily Hannum, Fan Wang

Published in

Proceedings of the National Academy of Sciences of the United States of America. Volume 123. Issue 45. Pages e2615409123. Nov 10, 2026. Epub Nov 02, 2026.

Abstract

The frequency and intensity of heat waves are increasing, but how these trends translate to changes in the ambient heat to which children are potentially exposed (hereafter, exposures) is not well established. One complicating factor is that it is not only extreme temperatures that change over time, but also the geospatial distribution of children. Another limitation in our understanding is that existing studies often summarize exposure as person-time accumulated above a temperature cutoff, a quantity that confounds the choice of cutoff, the duration of individual exposure, and the share of the population affected. Our study addresses these gaps by developing a double-dual-distributional framework that jointly considers two types of geospatial and temporal distributions (ambient temperatures and child populations) and two types of heat exposure thresholds, namely intensity (heat levels) and duration (hourly exceedance). To illustrate, we assessed potential exposures-the ambient heat conditions experienced-among 250 million children in China, comparing the 1989-1991 and 2019-2021 periods. We found that children's average annual exposure to moderate or stronger heat increased by 385 h, and the share exposed to strong heat for at least 12% of hours rose from 8.1% (24.9 million) to 23.7% (59.1 million). Both rising temperatures and shifts in child population distributions contribute materially to increased heat exposures in China, a finding that suggests the need for forecasts of children's potential heat exposures to consider shifting child population distributions.

PMID:
42970678
Bibliographic data and abstract were imported from PubMed on 03 Nov 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 5
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement