Evidence map›Paper›PMID 31811392›Full record

ArticleInternational journal of biometeorology2020

Perceptions and experiences of outdoor occupational workers using digital devices for geospatial biometeorological monitoring.

Margaret M Sugg, Christopher M Fuhrmann, Jennifer D Runkle

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 3 institutions in 1 country.

Margaret M SuggDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC, 28608, USA. kovachmm@appstate.edu.ORCID http://orcid.org/0000-0002-0114-1046
Christopher M FuhrmannDepartment of Geosciences, Mississippi State University, P.O. Box 5448, Mississippi State, MS, 39762, USA.
Jennifer D RunkleNorth Carolina Institute for Climate Studies, North Carolina State University, 151 Patton Avenue, Asheville, NC, 28801, USA.
Appalachian State University · USMississippi State University · USNorth Carolina State University · US

Funding

Appalachian State University NAMississippi State University NA
6 · The paper itself

Abstract

Wearable devices have the potential to track and monitor a wide range of biometeorological conditions (e.g., temperature, UV, air quality) and health outcomes (e.g., mental stress, physical activity, physiologic strain, and cognitive impairments). These sensors provide the potential for personalized environmental exposure information that can be harnessed for at-risk populations. Personalized environmental exposure information is of particular importance for populations that are continuously exposed to hazardous environmental conditions or with underlying health conditions. Yet, for these devices to be effective, individuals must be willing to monitor their health and, if prompted, adhere to warnings or notifications. To date, no study has examined the perceptions and use of digital devices and wearable sensors among vulnerable outdoor working populations. This study evaluated digital device use and perceptions among a population of groundworkers in three diverse geographic sites in the southeastern USA (Boone, NC, Raleigh, NC, and Starkville, MS). Our results demonstrate that biometeorological health interventions should focus on smartphone technology as a platform for monitoring environmental exposure and associated health outcomes. It was encouraging to find that those study participants were very likely to wear sensors and utilize global positioning system technology despite potential privacy issues. In addition, 3 out of 4 workers indicated that they would change their behavior if given a personalized heat preventive warning. Future development of wearable sensors and smartphone applications should integrate personalized weather warnings and ensure privacy to facilitate the use of these technologies among vulnerable populations.

Indexed as

MeteorologyWearable Electronic DevicesHot TemperatureHumansTemperatureWeatherDigital interventionsOccupational healthPersonal environmental monitoringWearable sensors

Identifiers

PMID31811392
OpenAlexW2992600192

What OpenQuestion holds

Textmetadata
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.