Evidence map›Paper›PMID 25993102›Full record

ArticleInternational journal of environmental research and public health2015

Estimating risks of heat strain by age and sex: a population-level simulation model.

Kathryn Glass, Peter W Tait, Elizabeth G Hanna, Keith Dear

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Influence of the Thermal Environment on Occupational Health and Safety in Automotive Industry: A Case Study.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. The Impact of Heat Waves on Occurrence and Severity of Construction Accidents.International journal of environmental research and public health · 2017
    Article
  11. A Conceptual Framework for Planning Systemic Human Adaptation to Global Warming.International journal of environmental research and public health · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kathryn GlassNational Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia. kathryn.glass@anu.edu.au.
Peter W TaitNational Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia. aspetert@bigpond.com.
Elizabeth G HannaNational Centre for Epidemiology and Population Health, Australian National University, Canberra 2601, Australia. Liz.Hanna@anu.edu.au.
Keith DearDuke Global Health Institute, Duke Kunshan University, Kunshan 215316, China. keithdear4@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals living in hot climates face health risks from hyperthermia due to excessive heat. Heat strain is influenced by weather exposure and by individual characteristics such as age, sex, body size, and occupation. To explore the population-level drivers of heat strain, we developed a simulation model that scales up individual risks of heat storage (estimated using Myrup and Morgan's man model "MANMO") to a large population. Using Australian weather data, we identify high-risk weather conditions together with individual characteristics that increase the risk of heat stress under these conditions. The model identifies elevated risks in children and the elderly, with females aged 75 and older those most likely to experience heat strain. Risk of heat strain in males does not increase as rapidly with age, but is greatest on hot days with high solar radiation. Although cloudy days are less dangerous for the wider population, older women still have an elevated risk of heat strain on hot cloudy days or when indoors during high temperatures. Simulation models provide a valuable method for exploring population level risks of heat strain, and a tool for evaluating public health and other government policy interventions.

Indexed as

WeatherAdolescentAdultAgedAustraliaChildClimateExtreme HeatFemaleHeat Stress DisordersHot TemperatureHumansMaleMiddle AgedModels, TheoreticalProbabilityheat storageheat strainMANMOpopulation-levelsimulation model

Identifiers

PMID25993102
PMCPMC4454965

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.