Evidence map›Paper›PMID 27005646›Full record

ArticleInternational journal of environmental research and public health2016

Mortality during a Large-Scale Heat Wave by Place, Demographic Group, Internal and External Causes of Death, and Building Climate Zone.

Lauren Joe, Sumi Hoshiko, Dina Dobraca, Rebecca Jackson, Svetlana Smorodinsky, Daniel Smith, Martha Harnly

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Mortality effects of heat waves vary by age and area: a multi-area study in China.Environmental health : a global access science source · 2018
    Article
  17. Number of Heat Wave Deaths by Diagnosis, Sex, Age Groups, and Area, in Slovenia, 2015 vs. 2003.International journal of environmental research and public health · 2018
    Article
  18. 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

7 authors.

Lauren JoeEnvironmental Health Investigations Branch, California Department of Public Health, Richmond, CA 94804, USA. lauren.joe@cdph.ca.gov.
Sumi HoshikoEnvironmental Health Investigations Branch, California Department of Public Health, Richmond, CA 94804, USA. sumi.hoshiko@cdph.ca.gov.
Dina DobracaEnvironmental Health Investigations Branch, California Department of Public Health, Richmond, CA 94804, USA. dina.dobraca@cdph.ca.gov.
Rebecca JacksonOccupational Health Branch, California Department of Public Health, Richmond, CA 94804, USA. rebecca.jackson@cdph.ca.gov.
Svetlana SmorodinskyOccupational Health Branch, California Department of Public Health, Richmond, CA 94804, USA. svetlana.smorodinsky@cdph.ca.gov.
Daniel SmithEnvironmental Health Investigations Branch, California Department of Public Health, Richmond, CA 94804, USA. daniel.smith@cdph.ca.gov.
Martha HarnlyEnvironmental Health Investigations Branch, California Department of Public Health, Richmond, CA 94804, USA. marthaharn@gmail.com.

Funding

NCHM CDC HHS 5U38HM000414NCHM CDC HHS U38 HM000414
6 · The paper itself

Abstract

Mortality increases during periods of elevated heat. Identification of vulnerable subgroups by demographics, causes of death, and geographic regions, including deaths occurring at home, is needed to inform public health prevention efforts. We calculated mortality relative risks (RRs) and excess deaths associated with a large-scale California heat wave in 2006, comparing deaths during the heat wave with reference days. For total (all-place) and at-home mortality, we examined risks by demographic factors, internal and external causes of death, and building climate zones. During the heat wave, 582 excess deaths occurred, a 5% increase over expected (RR = 1.05, 95% confidence interval (CI) 1.03-1.08). Sixty-six percent of excess deaths were at home (RR = 1.12, CI 1.07-1.16). Total mortality risk was higher among those aged 35-44 years than ≥ 65, and among Hispanics than whites. Deaths from external causes increased more sharply (RR = 1.18, CI 1.10-1.27) than from internal causes (RR = 1.04, CI 1.02-1.07). Geographically, risk varied by building climate zone; the highest risks of at-home death occurred in the northernmost coastal zone (RR = 1.58, CI 1.01-2.48) and the southernmost zone of California's Central Valley (RR = 1.43, CI 1.21-1.68). Heat wave mortality risk varied across subpopulations, and some patterns of vulnerability differed from those previously identified. Public health efforts should also address at-home mortality, non-elderly adults, external causes, and at-risk geographic regions.

Indexed as

Cause of DeathAdolescentAdultAgedAged, 80 and overCaliforniaChildChild, PreschoolData Interpretation, StatisticalEnvironment DesignFemaleHeat Stress DisordersHispanic or LatinoHot TemperatureHumansInfantat-homebuilding climate zoneexcess deathsexternal cause of deathheat waveinternal cause of deathmortalityrelative riskvulnerabilities

Identifiers

PMID27005646
PMCPMC4808962

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.