Evidence map›Paper›PMID 35929587›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022

Body weight and obstructive sleep apnea: a mathematical relationship between body mass index and apnea-hypopnea index in veterans.

Deema Fattal, Stacy Hester, Linder Wendt

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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  16. Association of self-reported and objective sleep disturbance with the spectrum of gastroesophageal reflux disease.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  17. The association of weight loss from anti-obesity medications or bariatric surgery and apnea-hypopnea index in obstructive sleep apnea.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024
    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

3 authors at 2 institutions in 1 country.

Deema FattalNeurology Department, University of Iowa, Iowa City, Iowa.
Stacy HesterIowa City VA Medical Center, Iowa City, Iowa.
Linder WendtInstitute for Clinical and Translational Science, University of Iowa, Iowa City, Iowa.
University of Iowa · USIowa City VA Medical Center · US

Funding

The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
NCATS NIH HHS UL1 TR002537
6 · The paper itself

Abstract

STUDY

objectivesA high body mass index (BMI) is a risk factor for obstructive sleep apnea. However, to our knowledge there is no reported equation that quantifies the relationship between weight, as measured by BMI, and apnea severity, as assessed by the apnea-hypopnea index (AHI). Our objective was to find a mathematical relationship between BMI and AHI.

methodsWe prospectively recruited 434 veterans from our polysomnography laboratory. Veterans already undergoing a sleep study were approached, and those who consented were enrolled. The veterans who enrolled in our study also participated in their scheduled sleep study. This study was approved by our institutional review board.

resultsWe found a simple mathematical relationship between BMI and AHI: for every 1-point drop in BMI (corresponding to 5-8 pounds, depending on a person's height), AHI decreases by 6.2%. And limiting BMI to 25-40 kg/m

conclusionsTo our knowledge, this is the first simple mathematical equation that associates the severity of weight with the severity of apnea in veterans. This equation can be a practical rule of thumb that can be implemented in clinics to predict the amount of weight a patient needs to lose to decrease their apnea, which might help motivate patients to lose weight. CITATION: Fattal D, Hester S, Wendt L. Body weight and obstructive sleep apnea: a mathematical relationship between body mass index and apnea-hypopnea index in veterans.

Indexed as

Sleep Apnea, ObstructiveVeteransBody Mass IndexBody WeightHumansPolysomnographyAHIapnea-hypopnea indexBMIbody mass indexmathematics of sleepobstructive sleep apneapolysomnography

Identifiers

PMID35929587
PMCPMC9713905
OpenAlexW4289993407

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.