CC BY-NC-ND 4.0 · Sleep Sci 2019; 12(03): 132-137
DOI: 10.5935/1984-0063.20190076
ORIGINAL ARTICLE

Age-dependent influence of gender on symptoms of obstructive sleep apnea in adults

Cassiano Mateus Forcelini
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Camilla Müller Buligon
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Gabriel Juan Kettenhuber Costa
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Gabrielle do Canto Petter
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Henrique Perosa Scapin
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Igor Alexander Augustin
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Larissa Daiane Michelon Dal-Piva
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Raquel Erbice Durgante
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
,
Vinícius Paz Lorenzoni
1   Universidade de Passo Fundo (UPF), Faculdade de Medicina - Passo Fundo - RS - Brazil.
› Author Affiliations

Objective Obstructive Sleep Apnea (OSA) is linked to classical symptoms of snoring and excessive sleepiness. However, many women with OSA may present with a diverse profile. The influence of age on the clinical differences between genders is unclear. This survey aimed to compare the clinical and polysomnographic findings of OSA between adult males and females, but considering different age groups.

Methods This cross-sectional study comprised a sample of 472 consecutive adult patients with OSA who underwent full-night polysomnography. Data from the medical and polysomnographic records was obtained, as well as the score on Portuguese validated version of the Epwoth Sleepiness Scale (ESS). Comparisons of main clinical aspects of OSA between genders were stratified according to three groups: young (< 30 years old), middle-aged (30 - 50 y.o.), and older patients (> 50 y.o.).

Results Men comprised the majority of the sample (male/female ratio of 1.6). Apnea-Hypopnea Index (AHI) was higher in men than women (median [interquartile range]: 29.7 [18.1-47.8] vs. 21.9 [11.5-36.1]; p < 0.0001), and body mass index alike (mean ± standard deviation: 29.0±4.9 vs. 27.6±5.2; p = 0.004). Snoring was more common in male than in female patients (92% vs. 84.7%; p = 0.015). In the subset of subjects younger than 30 years-old the differences between genders were prominent (male/female; AHI: 19.6 [13.1-28.1] vs. 11.8 [7.7-18.8], p = 0.012; sno ring: 89.7% vs. 55.2%, p = 0.007), accompanied by a trend to lower score in ESS in male patients (7.1 ± 4.3 vs. 9.2 ± 4.3; p = 0.066).

Discussion Results suggest that a classical clinical picture of snoring and severe daytime sleepiness is lacking in a considerable proportion of OSA sufferers, particularly young women, who tend to be sleepier than male patients. The awareness of OSA in young women should be based more in mild excessive daily sleepiness than in other typical OSA symptoms.



Publication History

Received: 17 September 2018

Accepted: 01 July 2019

Article published online:
31 October 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • REFERENCES

  • 1 Olds T, Blunden S, Petkov J, Forchino F. The relationships between sex, age, geography and time in bed in adolescents: a meta-analysis of data from 23 countries. Sleep Med Rev. 2010;14(6):371-8.
  • 2 Zhang B, Wing YK. Sex differences in insomnia: a meta-analysis. Sleep. 2006;29(1):85-93.
  • 3 Hirotsu C, Bittencourt L, Garbuio S, Andersen ML, Tufik S. Sleep complaints in the Brazilian population: Impact of socioeconomic factors. Sleep Sci. 2014;7(3):135-42.
  • 4 Stansbury RC, Strollo PJ. Clinical manifestations of sleep apnea. J Thorac Dis. 2015;7(9):E298-310.
  • 5 Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population — a review on the epidemiology of sleep apnea. J Thorac Dis. 2015;7(8):1311-22.
  • 6 Basoglu OK, Tasbakan MS. Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients. Sleep Breath. 2017;22(1):241-9.
  • 7 Baldwin CM, Kapur VK, Holberg CJ, Rosen C, Nieto FJ; Sleep Heart Health Study Group. Associations between gender and measures of daytime somnolence in the Sleep Heart Health Study. Sleep. 2004;27(2):305-11.
  • 8 Valipour A, Lothaller H, Rauscher H, Zwick H, Burghuber OC, Lavie P. Gender-related differences in symptoms of patients with suspected breathing disorders in sleep: a clinical population study using the sleep disorders questionnaire. Sleep. 2007;30(3):312-9.
  • 9 Ye L, Pien GW, Weaver TE. Gender differences in the clinical manifestation of obstructive sleep apnea. Sleep Med. 2009;10(10):1075-84.
  • 10 Valipour A. Gender-related differences in the obstructive sleep apnea syndrome. Pneumologie. 2012;66(10):584-8.
  • 11 Theorell-Haglöw J, Miller CB, Bartlett DJ, Yee BJ, Openshaw HD, Grunstein RR. Gender differences in obstructive sleep apnoea, insomnia and restless legs syndrome in adults - What do we know? A clinical update. Sleep Med Rev.
  • 12 Gabbay IE, Lavie P. Age- and gender-related characteristics of obstructive sleep apnea. Sleep Breath. 2012;16(2):453-60.
  • 13 American Academy of Sleep Medicine. International Classification of Sleep Disorders. 3rd ed. Darien, IL: American Academy of Sleep Medicine; 2014.
  • 14 Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Menna Barreto SS, Johns MW. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil. J Bras Pneumol. 2009;35(9):877-83.
  • 15 Berry RB, Albertario CL, Harding SM, Lloyd RM, Plante DT, Quan SF, et al. American Association of Sleep Medicine. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications. Version 2.5. Darien, IL: American Academy of Sleep Medicine; 2018.
  • 16 Zou J, Guan J, Yi H, Meng L, Xiong Y, Tang X, et al. An effective model for screening obstructive sleep apnea: a large-scale diagnostic study. PLoS One. 2013;8(12):e80704.
  • 17 Hirotsu C, Albuquerque RG, Nogueira H, Hachul H, Bittencourt L, Tufik S, et al. The relationship between sleep apnea and, metabolic dysfunction and inflammation: The gender influence. Brain Behav Immun. 2017;59:211-8.
  • 18 Ryu HS, Lee SA, Lee GH, Chung YS, Kim WS. Subjective apnoea symptoms are associated with daytime sleepiness in patients with moderate and severe obstructive sleep apnoea: a retrospective study. Clin Otolaryngol. 2016;41(4):395-401.
  • 19 Drakatos P, Ghiassi R, Jarrold I, Harris J, Abidi A, Douiri A, et al. The use of an online pictorial Epworth Sleepiness Scale in the assessment of age and gender specific differences in excessive daytime sleepiness. J Thorac Dis. 2015;7(5):897-902.
  • 20 Bixler EO, Papaliaga MN, Vgontzas AN, Lin HM, Pejovic S, Karataraki M, et al. Women sleep objectively better than men and the sleep of young women is more resilient to external stressors: effects of age and menopause. J Sleep Res. 2009;18(2):221-8.
  • 21 Miller JN, Berger AM. Screening and assessment for obstructive sleep apnea in primary care. Sleep Med Rev. 2016;29:41-51.
  • 22 Ye L, Pien GW, Ratcliffe SJ, Björnsdottir E, Arnardottir ES, Pack AI, et al. The different clinical faces of obstructive sleap apnea: a cluster analysis. Eur Respir J. 2014;44(6):1600-7.
  • 23 Bailly S, Destors M, Grillet Y, Richard P, Stach B, Vivodtzev I, et al.; scientific council and investigators of the French national sleep apnea registry (OSFP). Obstructive Sleep Apnea: A Cluster Analysis at Time of Diagnosis. PLoS One. 2016;11(6):e0157318.