Literature DB >> 35752719

Associations of overnight changes in body composition with positional obstructive sleep apnea.

Nguyen Thanh Tung1,2, Shang-Yang Lin3, Hoang Ba Dung2, Tran Phan Chung Thuy4, Yi-Chun Kuan5, Cheng-Yu Tsai6, Chen-Chen Lo3,7, Kang Lo3,7, Wen-Te Liu8,9,10, Hsiao-Chi Chuang11,12,13.   

Abstract

PURPOSE: Body composition is considered to be associated with obstructive sleep apnea (OSA) severity. This cross-sectional study aimed to examine associations of overnight body composition changes with positional OSA.
METHODS: The body composition of patients diagnosed with non-positional and positional OSA was measured before and after overnight polysomnography. Odds ratios (ORs) of outcome variables between the case (positional OSA) and reference (non-positional OSA) groups were examined for associations with sleep-related parameters and with changes in body composition by a logistic regression analysis.
RESULTS: Among 1584 patients with OSA, we used 1056 patients with non-positional OSA as the reference group. We found that a 1-unit increase in overnight changes of total fat percentage and total fat mass were associated with 1.076-fold increased OR (95% confidence interval (CI): 1.014, 1.142) and 1.096-fold increased OR (95% CI: 1.010, 1.189) of positional OSA, respectively (all p < 0.05). Additionally, a 1-unit increase in overnight changes of lower limb fat percentage and upper limb fat mass were associated with 1.043-fold increased OR (95% CI: 1.004, 1.084) and 2.638-fold increased OR (95% CI: 1.313, 5.302) of positional OSA, respectively (all p < 0.05). We observed that a 1-unit increase in overnight changes of trunk fat percentage and trunk fat mass were associated with 1.056-fold increased OR (95% CI: 1.008, 1.106) and 1.150-fold increased OR (95% CI: 1.016, 1.301) of positional OSA, respectively (all p < 0.05).
CONCLUSION: Our findings indicated that nocturnal changes in the body's composition, especially total fat mass, total fat percentage, lower limb fat percentage, upper limb fat mass, trunk fat percentage, and trunk fat mass, may be associated with increased odds ratio of positional OSA compared with non-positional OSA.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Apnea–hypopnea index (AHI); Arousal; Body fluid; Fat distribution; Muscle distribution; Upper airway

Year:  2022        PMID: 35752719     DOI: 10.1007/s11325-022-02664-5

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  37 in total

Review 1.  A practical guide to bioelectrical impedance analysis using the example of chronic obstructive pulmonary disease.

Authors:  Anja Walter-Kroker; Axel Kroker; Muriel Mattiucci-Guehlke; Thomas Glaab
Journal:  Nutr J       Date:  2011-04-21       Impact factor: 3.271

2.  Positional vs nonpositional obstructive sleep apnea patients: anthropomorphic, nocturnal polysomnographic, and multiple sleep latency test data.

Authors:  A Oksenberg; D S Silverberg; E Arons; H Radwan
Journal:  Chest       Date:  1997-09       Impact factor: 9.410

3.  Are we missing a simple treatment for most adult sleep apnea patients? The avoidance of the supine sleep position.

Authors:  Arie Oksenberg; Natan Gadoth
Journal:  J Sleep Res       Date:  2013-10-10       Impact factor: 3.981

4.  Body fat composition: a predictive factor for obstructive sleep apnea.

Authors:  Oğuz Oğretmenoğlu; Ahmet Emre Süslü; Omer Taşkin Yücel; Tevfik Metin Onerci; Altay Sahin
Journal:  Laryngoscope       Date:  2005-08       Impact factor: 3.325

5.  Association of body position with severity of apneic events in patients with severe nonpositional obstructive sleep apnea.

Authors:  A Oksenberg; I Khamaysi; D S Silverberg; A Tarasiuk
Journal:  Chest       Date:  2000-10       Impact factor: 9.410

6.  Accurate position monitoring and improved supine-dependent obstructive sleep apnea with a new position recording and supine avoidance device.

Authors:  James J Bignold; Jeremy D Mercer; Nick A Antic; R Doug McEvoy; Peter G Catcheside
Journal:  J Clin Sleep Med       Date:  2011-08-15       Impact factor: 4.062

7.  The evaluation of body composition, adiponectin, C-reactive protein and cholesterol levels in patients with obstructive sleep apnea syndrome.

Authors:  Monika Kosacka; Anna Korzeniewska; Renata Jankowska
Journal:  Adv Clin Exp Med       Date:  2013 Nov-Dec       Impact factor: 1.727

8.  Body composition methods: comparisons and interpretation.

Authors:  Dana L Duren; Richard J Sherwood; Stefan A Czerwinski; Miryoung Lee; Audrey C Choh; Roger M Siervogel; Wm Cameron Chumlea
Journal:  J Diabetes Sci Technol       Date:  2008-11

9.  Relation of central fat mass to obstructive sleep apnea in the elderly.

Authors:  Francis Degache; Emilia Sforza; Virginie Dauphinot; Sébastien Celle; Arnauld Garcin; Philippe Collet; Vincent Pichot; Jean-Claude Barthélémy; Frédéric Roche
Journal:  Sleep       Date:  2013-04-01       Impact factor: 5.849

Review 10.  Is bioelectrical impedance accurate for use in large epidemiological studies?

Authors:  Mahshid Dehghan; Anwar T Merchant
Journal:  Nutr J       Date:  2008-09-09       Impact factor: 3.271

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