Evidence map›Paper›PMID 23164621›Full record

ArticleEnvironmental health perspectives2013

Neighborhood effects on heat deaths: social and environmental predictors of vulnerability in Maricopa County, Arizona.

Sharon L Harlan, Juan H Declet-Barreto, William L Stefanov, Diana B Petitti

Abstract read
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Article in Environmental health perspectives, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

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  15. Impact of climate change on paediatric respiratory health: pollutants and aeroallergens.European respiratory review : an official journal of the European Respiratory Society · 2024
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  16. "International journal of environmental research and public health · 2024
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sharon L HarlanSchool of Human Evolution and Social Change, Arizona State University, Tempe, Arizona 85284-2402, USA. sharon.harlan@asu.edu
Juan H Declet-Barreto
William L Stefanov
Diana B Petitti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost heat-related deaths occur in cities, and future trends in global climate change and urbanization may amplify this trend. Understanding how neighborhoods affect heat mortality fills an important gap between studies of individual susceptibility to heat and broadly comparative studies of temperature-mortality relationships in cities.

objectivesWe estimated neighborhood effects of population characteristics and built and natural environments on deaths due to heat exposure in Maricopa County, Arizona (2000-2008).

methodsWe used 2000 U.S. Census data and remotely sensed vegetation and land surface temperature to construct indicators of neighborhood vulnerability and a geographic information system to map vulnerability and residential addresses of persons who died from heat exposure in 2,081 census block groups. Binary logistic regression and spatial analysis were used to associate deaths with neighborhoods.

resultsNeighborhood scores on three factors-socioeconomic vulnerability, elderly/isolation, and unvegetated area-varied widely throughout the study area. The preferred model (based on fit and parsimony) for predicting the odds of one or more deaths from heat exposure within a census block group included the first two factors and surface temperature in residential neighborhoods, holding population size constant. Spatial analysis identified clusters of neighborhoods with the highest heat vulnerability scores. A large proportion of deaths occurred among people, including homeless persons, who lived in the inner cores of the largest cities and along an industrial corridor.

conclusionsPlace-based indicators of vulnerability complement analyses of person-level heat risk factors. Surface temperature might be used in Maricopa County to identify the most heat-vulnerable neighborhoods, but more attention to the socioecological complexities of climate adaptation is needed.

Indexed as

Residence CharacteristicsArizonaFemaleGeographic Information SystemsHeat Stress DisordersHumansMaleRisk FactorsSocioeconomic Factors

Identifiers

PMID23164621
PMCPMC3569676

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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.