Evidence map›Paper›PMID 26518701›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016

Breathing and Snoring Sound Characteristics during Sleep in Adults.

Asaf Levartovsky, Eliran Dafna, Yaniv Zigel, Ariel Tarasiuk

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 51 citations in OpenAlex.

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  4. Chronic intermittent hypoxia-induced hypertension: the impact of sex hormones.American journal of physiology. Regulatory, integrative and comparative physiology · 2024
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  13. Gender Issues in Obstructive Sleep Apnea.The Yale journal of biology and medicine · 2021
    Review
  14. Article
  15. Article
  16. Sex differences in obstructive sleep apnoea.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  17. Article
  18. Article
  19. Review
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 1 institution in 1 country.

Asaf LevartovskySleep-Wake Disorders Unit, Soroka University Medical Center and Department of Physiology and Cell Biology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel.
Eliran DafnaDepartment of Biomedical Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Israel.
Yaniv ZigelDepartment of Biomedical Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Israel.
Ariel TarasiukSleep-Wake Disorders Unit, Soroka University Medical Center and Department of Physiology and Cell Biology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel.
Ben-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesSound level meter is the gold standard approach for snoring evaluation. Using this approach, it was established that snoring intensity (in dB) is higher for men and is associated with increased apnea-hypopnea index (AHI). In this study, we performed a systematic analysis of breathing and snoring sound characteristics using an algorithm designed to detect and analyze breathing and snoring sounds. The effect of sex, sleep stages, and AHI on snoring characteristics was explored.

methodsWe consecutively recruited 121 subjects referred for diagnosis of obstructive sleep apnea. A whole night audio signal was recorded using noncontact ambient microphone during polysomnography. A large number (> 290,000) of breathing and snoring (> 50 dB) events were analyzed. Breathing sound events were detected using a signal-processing algorithm that discriminates between breathing and nonbreathing (noise events) sounds.

resultsSnoring index (events/h, SI) was 23% higher for men (p = 0.04), and in both sexes SI gradually declined by 50% across sleep time (p < 0.01) independent of AHI. SI was higher in slow wave sleep (p < 0.03) compared to S2 and rapid eye movement sleep; men have higher SI in all sleep stages than women (p < 0.05). Snoring intensity was similar in both genders in all sleep stages and independent of AHI. For both sexes, no correlation was found between AHI and snoring intensity (r = 0.1, p = 0.291).

conclusionsThis audio analysis approach enables systematic detection and analysis of breathing and snoring sounds from a full night recording. Snoring intensity is similar in both sexes and was not affected by AHI.

Indexed as

RespirationAdultAgedAged, 80 and overAlgorithmsFemaleHumansMaleMiddle AgedPolysomnographySex FactorsSleepSleep Apnea SyndromesSleep StagesSnoringYoung Adultbreathingobstructive sleep apneasexsnoringsound analysis

Identifiers

PMID26518701
PMCPMC4773633
OpenAlexW2414404397

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.