Evidence map›Paper›PMID 32019249›Full record

ArticleInternational journal of environmental research and public health2020

Predictors Associated with Health-Related Heat Risk Perception of Urban Citizens in Germany.

Sabrina K Beckmann, Michael Hiete

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. The Scorching Truth: Investigating the Impact of Heatwaves on Selangor's Elderly Hospitalisations.International journal of environmental research and public health · 2023
    Article
  6. Variations of Urban Thermal Risk with Local Climate Zones.International journal of environmental research and public health · 2023
    Article
  7. Evaluating the Sensitivity of Heat Wave Definitions among North Carolina Physiographic Regions.International journal of environmental research and public health · 2022
    Article
  8. Global Warming's Six MTurks: A Secondary Analysis of a US-Based Online Crowdsourcing Market.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Sabrina K BeckmannDepartment of Business Chemistry, Ulm University, 89081 Ulm, Germany.
Michael HieteDepartment of Business Chemistry, Ulm University, 89081 Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising probability of extremely high temperatures and an increasing number of consecutive hot days caused by climate change-combined with the impact of these high temperatures on human health-is widely discussed in the literature. There are calls for the development of heatwave adaptation measures by governmental and scientific institutions. In this research, the predictors of health-related heat risk perception of urban citizens in Augsburg, Germany, were investigated. An online survey was conducted with 468 citizens, asking about their heat risk perception, knowledge about heat risks, and demographic data and health information. Statistical methods (Spearman correlation, unpaired

Indexed as

Health Knowledge, Attitudes, PracticeHot TemperatureRisk AssessmentAdolescentAdultAgedCitiesClimate ChangeFemaleGermanyHumansMaleMiddle AgedYoung Adultadaptationclimate changehealth risksheat risk perceptionheat waveknowledge

Identifiers

PMID32019249
PMCPMC7038119

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.