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Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients

Overview of attention for article published in Sleep and Breathing, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 news outlet
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8 X users

Citations

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134 Dimensions

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131 Mendeley
Title
Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients
Published in
Sleep and Breathing, February 2017
DOI 10.1007/s11325-017-1482-9
Pubmed ID
Authors

Ozen K. Basoglu, Mehmet Sezai Tasbakan

Abstract

Obstructive sleep apnea (OSA) is underdiagnosed in females due to different clinical presentation. We aimed to determine the effect of gender on clinical and polysomnographic features and identify predictors of OSA in women. Differences in demographic, clinical, and polysomnographic parameters between 2052 male and 775 female OSA patients were compared. In female OSA patients, age (56.1 ± 9.7 vs. 50.4 ± 11.6 years, p < 0.0001) and body mass index (36.3 ± 8.6 vs. 31.8 ± 5.9 kg/m(2), p < 0.0001) were increased, whereas men had higher waist-to-hip ratio and neck circumference (p < 0.0001). Hypertension, diabetes mellitus, thyroid disease, and asthma were more common in females (p < 0.0001). Men reported more witnessed apnea (p < 0.0001), but nocturnal choking, morning headache, fatigue, insomnia symptoms, impaired memory, mood disturbance, reflux, nocturia, and enuresis were more frequent in women (p < 0.0001). The indicators of OSA severity including apnea-hypopnea index (AHI) (p < 0.0001) and oxygen desaturation index (p = 0.007) were lower in women. REM AHI (p < 0.0001) was higher, and supine AHI (p < 0.0001) was lower in females. Besides, women had decreased total sleep time (p = 0.028) and sleep efficiency (p = 0.003) and increased sleep latency (p < 0.0001). In multivariate logistic regression analysis, increased REM AHI, N3 sleep, obesity, age, morning headache, and lower supine AHI were independently associated with female gender. These data suggest that frequency and severity of sleep apnea is lower in female OSA patients, and they are presenting with female-specific symptoms and increased medical comorbidities. Therefore, female-specific questionnaires should be developed and used for preventing underdiagnosis of OSA.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 16%
Student > Ph. D. Student 11 8%
Researcher 11 8%
Student > Master 10 8%
Student > Doctoral Student 9 7%
Other 25 19%
Unknown 44 34%
Readers by discipline Count As %
Medicine and Dentistry 37 28%
Psychology 7 5%
Nursing and Health Professions 7 5%
Neuroscience 6 5%
Agricultural and Biological Sciences 4 3%
Other 17 13%
Unknown 53 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2018.
All research outputs
#2,360,754
of 24,496,759 outputs
Outputs from Sleep and Breathing
#73
of 1,457 outputs
Outputs of similar age
#50,702
of 436,970 outputs
Outputs of similar age from Sleep and Breathing
#4
of 26 outputs
Altmetric has tracked 24,496,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 436,970 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.