Evidence map›Paper›PMID 29613996›Full record

ArticleMedicine and science in sports and exercise2018

Timing and Predictors of Mild and Severe Heat Illness among New Military Enlistees.

D Alan Nelson, Patricia A Deuster, Francis G O'Connor, Lianne M Kurina

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine and science in sports and exercise, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Epidemiology of Exertional Heat Illness in the Military: A Systematic Review of Observational Studies.International journal of environmental research and public health · 2020
    Pooled it
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  12. Beating the heat: military training and operations in the era of global warming.Journal of applied physiology (Bethesda, Md. : 1985) · 2023
    Review
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  16. Classic and exertional heatstroke.Nature reviews. Disease primers · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

D Alan NelsonDepartment of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA.
Patricia A DeusterConsortium for Health and Military Performance, A DoD Center of Excellence, Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD.
Francis G O'ConnorConsortium for Health and Military Performance, A DoD Center of Excellence, Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD.
Lianne M KurinaDepartment of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA.
Stanford University · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHeat illnesses are important and potentially fatal conditions among physically active individuals. We determined predictors of heat illness among enlistees in a large military population experiencing common physical activity patterns.

methodsWe estimated the adjusted odds of mild (MHI) and severe (SHI) heat illness associated with demographic, health-related, and geographic factors among active-duty, US Army soldiers enlisting between January 2011 and December 2014 (N = 238,168) using discrete-time multivariable logistic regression analyses.

resultsWe observed 2612 incident cases of MHI and 732 incident cases of SHI during 427,922 person-years of follow-up, with a mean and median of 21.6 and 21 months per subject. During the first 6 duty months, 71.3% of the MHIs and 60.2% of the SHIs occurred, peaking at month 2. The odds of MHI quadrupled among those with prior SHI (odds ratio [OR], 4.02; 95% confidence interval [CI], 2.67-6.03). Body mass index (BMI) extremes increased the odds substantially (OR at BMI ≥30 kg·m: for MHI, 1.41 (CI, 1.19-1.67); for SHI, 1.94 (CI, 1.47-2.56); OR at BMI <18.5 kg·m: for MHI, 1.50 (CI, 1.01-2.21); for SHI, 2.26 (CI, 1.16-4.39)). Tobacco use was associated with a 55% increase (CI, 1.37-1.77) in MHI odds. The odds of MHI increased if taking nonsteroidal anti-inflammatory drugs, opioids, or methylphenidate stimulants. Lower age and lower entry aptitude scores were associated with progressively increased MHI odds.

conclusionsMost heat illnesses occurred at the outset of service, indicating the need for focused prevention methods at the initiation of military duty. Prior heat illness, BMI extremes, medications, and tobacco use represent potentially actionable risk factors to address by education, policy, and/or clinician intervention.

Indexed as

Age FactorsAnti-Inflammatory Agents, Non-SteroidalAptitudeBody Mass IndexCentral Nervous System StimulantsHeat Stress DisordersHot TemperatureHumansIncidenceLongitudinal StudiesMethylphenidateMilitary PersonnelPhysical FitnessRetrospective StudiesRisk FactorsSeverity of Illness IndexAnti-Inflammatory Agents, Non-SteroidalCentral Nervous System StimulantsMethylphenidate

Identifiers

PMID29613996
PMCPMC6045456
OpenAlexW2796086658

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.