Evidence map›Paper›PMID 24740173›Full record

ArticlePloS one2014

Lower obesity rate during residence at high altitude among a military population with frequent migration: a quasi experimental model for investigating spatial causation.

Jameson D Voss, David B Allison, Bryant J Webber, Jean L Otto, Leslie L Clark

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

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  13. Can Social Cognitive Theory Influence Breakfast Frequency in an Institutional Context: A Qualitative Study.International journal of environmental research and public health · 2021
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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

5 authors at 4 institutions in 1 country.

Jameson D VossEpidemiology Consult Division, US Air Force School of Aerospace Medicine, Wright Patterson Air Force Base, Ohio, United States of America; Department of Preventive Medicine, Uniformed Services University, Bethesda, Maryland, United States of America.
David B AllisonDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America; Nutrition and Obesity Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Bryant J WebberDepartment of Preventive Medicine, Uniformed Services University, Bethesda, Maryland, United States of America; Trainee Health Surveillance, Joint Base San Antonio - Lackland, Lackland, Texas, United States of America.
Jean L OttoArmed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland, United States of America.
Leslie L ClarkArmed Forces Health Surveillance Center, Silver Spring, Maryland, United States of America; General Dynamics Information Technology, Fairfax, Virginia, United States of America.
Armed Forces Health Surveillance Center · USJoint Base San Antonio · USUniversity of Alabama at Birmingham · USWright-Patterson Air Force Base · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Stuart J Frank · 2013 to 2026
$19.5M
NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

We sought to evaluate whether residence at high altitude is associated with the development of obesity among those at increased risk of becoming obese. Obesity, a leading global health priority, is often refractory to care. A potentially novel intervention is hypoxia, which has demonstrated positive long-term metabolic effects in rats. Whether or not high altitude residence confers benefit in humans, however, remains unknown. Using a quasi-experimental, retrospective study design, we observed all outpatient medical encounters for overweight active component enlisted service members in the U.S. Army or Air Force from January 2006 to December 2012 who were stationed in the United States. We compared high altitude (>1.96 kilometers above sea level) duty assignment with low altitude (<0.98 kilometers). The outcome of interest was obesity related ICD-9 codes (278.00-01, V85.3x-V85.54) by Cox regression. We found service members had a lower hazard ratio (HR) of incident obesity diagnosis if stationed at high altitude as compared to low altitude (HR 0.59, 95% confidence interval [CI] 0.54-0.65; p<0.001). Using geographic distribution of obesity prevalence among civilians throughout the U.S. as a covariate (as measured by the Centers for Disease Control and Prevention and the REGARDS study) also predicted obesity onset among service members. In conclusion, high altitude residence predicts lower rates of new obesity diagnoses among overweight service members in the U.S. Army and Air Force. Future studies should assign exposure using randomization, clarify the mechanism(s) of this relationship, and assess the net balance of harms and benefits of high altitude on obesity prevention.

Indexed as

AltitudeGeographyHumansMilitary PersonnelObesityRegression AnalysisRetrospective StudiesRisk FactorsUnited States

Identifiers

PMID24740173
PMCPMC3989193
OpenAlexW2065052650

What OpenQuestion holds

Textmetadata
LicenceCC0
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.