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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

483
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
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Physical Assessment of the Respiratory Tract II: Inspection01:27

Physical Assessment of the Respiratory Tract II: Inspection

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Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
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Bode Plots Construction01:24

Bode Plots Construction

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The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
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Body Composition Analysis in Obstructive Sleep Apnea: A Cross-Sectional Study Using Bioelectrical Impedance Analysis.

Mucahit Yetim1, Macit Kalçık1, Lütfü Bekar1

  • 1Department of Cardiology, Hitit University Faculty of Medicine, Çorum, Turkey.

The Clinical Respiratory Journal
|September 19, 2025
PubMed
Summary
This summary is machine-generated.

Body composition analysis using bioelectrical impedance analysis (BIA) offers better prediction of obstructive sleep apnea (OSA) than BMI. Total body water and central fat distribution are key indicators of OSA risk.

Keywords:
bioelectrical impedancebody compositionobstructive sleep apneatotal body watertrunk fat

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Area of Science:

  • Sleep Medicine
  • Cardiorespiratory Physiology
  • Obesity Research

Background:

  • Obstructive sleep apnea (OSA) is common, linked to obesity but not fully explained by Body Mass Index (BMI).
  • Recurrent airway collapse in OSA causes intermittent hypoxia and fragmented sleep.
  • Complex body composition factors beyond BMI influence OSA development.

Purpose of the Study:

  • To evaluate the predictive capability of body composition parameters from bioelectrical impedance analysis (BIA) for OSA.
  • To determine if BIA-derived metrics offer superior prediction compared to traditional BMI.
  • To identify specific body composition components associated with OSA risk.

Main Methods:

  • Cross-sectional study comparing 78 OSA patients with 78 matched controls.
  • Bioelectrical impedance analysis (BIA) assessed fat distribution, muscle mass, and body water.
  • Logistic regression identified independent predictors of OSA.

Main Results:

  • OSA patients showed higher lean mass, trunk fat percentage, and total body water than controls.
  • Body fat mass, visceral fat area, and total body water independently predicted OSA.
  • Total body water demonstrated the strongest association with OSA risk, irrespective of BMI.

Conclusions:

  • BIA provides deeper insights into OSA pathophysiology than BMI alone.
  • Central fat distribution and fluid balance are crucial in OSA.
  • Integrating BIA into OSA risk assessment is clinically valuable.