Evidence map›Paper›PMID 36496371›Full record

ArticleBMC public health2022

Mixed methods assessment of personal heat exposure, sleep, physical activity, and heat adaptation strategies among urban residents in the Boston area, MA.

Chad W Milando, Flannery Black-Ingersoll, Leila Heidari, Ibrahim López-Hernández, Julie de Lange, Abgel Negassa, Alina M McIntyre, M Pilar Botana Martinez, Roseann Bongiovanni, Jonathan I Levy and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 31 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Chad W MilandoDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA. cmilando@bu.edu.
Flannery Black-IngersollDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Leila HeidariDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Ibrahim López-HernándezGreenRoots Inc, Chelsea, MA, 02150, USA.
Julie de LangeDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Abgel NegassaDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Alina M McIntyreDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
M Pilar Botana MartinezDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Roseann BongiovanniGreenRoots Inc, Chelsea, MA, 02150, USA.
Jonathan I LevyDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Patrick L KinneyDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Madeleine K ScammellDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
M Patricia FabianDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Boston University · US

Funding

Environmental Epidemiology in Community SettingsT32ES014562 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Birgit Gunhild Claus Henn · 2006 to 2026
$7.7M
NIEHS NIH HHS T32 ES014562
6 · The paper itself

Abstract

The growing frequency, intensity, and duration of extreme heat events necessitates interventions to reduce heat exposures. Local opportunities for heat adaptation may be optimally identified through collection of both quantitative exposure metrics and qualitative data on perceptions of heat. In this study, we used mixed methods to characterize heat exposure among urban residents in the area of Boston, Massachusetts, US, in summer 2020. Repeated interviews of N = 24 study participants ascertained heat vulnerability and adaptation strategies. Participants also used low-cost sensors to collect temperature, location, sleep, and physical activity data. We saw significant differences across temperature metrics: median personal temperature exposures were 3.9 °C higher than median ambient weather station temperatures. Existing air conditioning (AC) units did not adequately control indoor temperatures to desired thermostat levels: even with AC use, indoor maximum temperatures increased by 0.24 °C per °C of maximum outdoor temperature. Sleep duration was not associated with indoor or outdoor temperature. On warmer days, we observed a range of changes in time-at-home, expected given our small study size. Interview results further indicated opportunities for heat adaptation interventions including AC upgrades, hydration education campaigns, and amelioration of energy costs during high heat periods. Our mixed methods design informs heat adaptation interventions tailored to the challenges faced by residents in the study area. The strength of our community-academic partnership was a large part of the success of the mixed methods approach.

Indexed as

Hot TemperatureThermotoleranceAir ConditioningExerciseHumansSleepCommunity-academic partnershipHeat exposureMixed methods researchRemote data collection

Identifiers

PMID36496371
PMCPMC9739346
OpenAlexW4311664383

What OpenQuestion holds

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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.