Evidence map›Paper›PMID 39261638›Full record

ArticleJournal of exposure science & environmental epidemiology2025

Is home where the heat is? comparing residence-based with mobility-based measures of heat exposure in San Diego, California.

Michael D Garber, Anaïs Teyton, Marta M Jankowska, Gabriel Carrasco-Escobar, David Rojas-Rueda, Antony Barja-Ingaruca, Tarik Benmarhnia

Abstract readComparative Study
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Michael D GarberScripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA. mdgarber@ucsd.edu.ORCID http://orcid.org/0000-0003-0122-5634
Anaïs TeytonScripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA.
Marta M JankowskaPopulation Sciences, Beckman Research Institute, City of Hope, Duarte, California, USA.
Gabriel Carrasco-EscobarScripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA.
David Rojas-RuedaDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Antony Barja-IngarucaScripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA.
Tarik BenmarhniaScripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA.

Funding

Integrating novel GIS and GPS data to assess the impact of built environments on changes in BMI, physical activity and cancer-related biomarkers in two successful weight loss interventions in women atR01CA228147 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENMARHNIA, TARIK, JANKOWSKA, MARTA · 2019 to 2024
$2.6M
NCI NIH HHS R01 CA228147
6 · The paper itself

Abstract

backgroundHeat can vary spatially within an urban area. Individual-level heat exposure may thus depend on an individual's day-to-day travel patterns (also called mobility patterns or activity space), yet heat exposure is commonly measured based on place of residence.

objectiveIn this study, we compared measures assessing exposure to two heat indicators using place of residence with those defined considering participants' day-to-day mobility patterns.

methodsParticipants (n = 599; aged 35-80 years old [mean =59 years]) from San Diego County, California wore a GPS device to measure their day-to-day travel over 14-day intervals between 2014-10-17 and 2017-10-06. We measured exposure to two heat indicators (land-surface temperature [LST] and air temperature) using an approach considering their mobility patterns and an approach considering only their place of residence. We compared participant mean and maximum exposure values from each method for each indicator.

resultsThe overall mobility-based mean LST exposure (34.7 °C) was almost equivalent to the corresponding residence-based mean (34.8 °C; mean difference in means = -0.09 °C). Similarly, the mean difference between the overall mobility-based mean air temperature exposure (19.2 °C) and the corresponding residence-based mean (19.2 °C) was negligible (-0.02 °C). Meaningful differences emerged, however, when comparing maximums, particularly for LST. The mean mobility-based maximum LST was 40.3 °C compared with a mean residence-based maximum of 35.8 °C, a difference of 4.51 °C. The difference in maximums was considerably smaller for air temperature (mean = 0.40 °C; SD = 1.41 °C) but nevertheless greater than the corresponding difference in means. IMPACT: As the climate warms, assessment of heat exposure both at and away from home is important for understanding its health impacts. We compared two approaches to estimate exposure to two heat measures (land surface temperature and air temperature). The first approach only considered exposure at home, and the second considered day-to-day travel. Considering the average exposure estimated by each approach, the results were almost identical. Considering the maximum exposure experienced (specific definition in text), the differences between the two approaches were more considerable, especially for land surface temperature.

Indexed as

Environmental ExposureHot TemperatureResidence CharacteristicsTravelAdultAgedAged, 80 and overCaliforniaFemaleGeographic Information SystemsHumansMaleMiddle AgedActivity spaceExposure assessment.GPSUrban heat

Identifiers

PMID39261638
PMCPMC12318250

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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.