Smoking-Induced Disturbed Sleep. A Distinct Sleep-Related Disorder Pattern?
by
, ,
Ioanna Grigoriou
1,
Paschalia Skalisti
1,
Ioanna Papagiouvanni
2,
Anastasia Michailidou
3,
Konstantinos Charalampidis
2,
Serafeim-Chrysovalantis Kotoulas
4
,
Konstantinos Porpodis
5,
Dionysios Spyratos
5 and
Athanasia Pataka
1,* 1
Respiratory Failure Clinic, Papanikolaou General Hospital, Aristotle University of Thessaloniki, 57010 Thessaloniki, Greece
2
Fourth Department of Internal Medicine, Hippokration General Hospital, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
3
Second Propaedeutic Department of Internal Medicine, Hippokration General Hospital, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
4
ICU, Hippokration General Hospital, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece
5
Pulmonology Department, Papanikolaou General Hospital, Aristotle University of Thessaloniki, 57010 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(2), 205; https://doi.org/10.3390/healthcare11020205
Submission received: 30 November 2022
/
Revised: 27 December 2022
/
Accepted: 3 January 2023
/
Published: 10 January 2023
(This article belongs to the Special Issue Sleep Disorders Management in Primary Care)
Abstract
:The relationship between smoking and sleep disorders has not been investigated sufficiently yet. Many aspects, especially regarding non-obstructive sleep apnea–hypopnea (OSA)-related disorders, are still to be addressed. All adult patients who visited a tertiary sleep clinic and provided information about their smoking history were included in this cross-sectional study. In total, 4347 patients were divided into current, former and never smokers, while current and former smokers were also grouped, forming a group of ever smokers. Sleep-related characteristics, derived from questionnaires and sleep studies, were compared between those groups. Ever smokers presented with significantly greater body mass index (BMI), neck and waist circumference and with increased frequency of metabolic and cardiovascular co-morbidities compared to never smokers. They also presented significantly higher apnea–hypopnea index (AHI) compared to never smokers (34.4 ± 24.6 events/h vs. 31.7 ± 23.6 events/h, p < 0.001) and were diagnosed more frequently with severe and moderate OSA (50.3% vs. 46.9% and 26.2% vs. 24.8% respectively). Epworth sleepiness scale (ESS) (p = 0.13) did not differ between groups. Ever smokers, compared to never smokers, presented more frequent episodes of sleep talking (30.8% vs. 26.6%, p = 0.004), abnormal movements (31.1% vs. 27.7%, p = 0.021), restless sleep (59.1% vs. 51.6%, p < 0.001) and leg movements (p = 0.002) during sleep. Those were more evident in current smokers and correlated significantly with increasing AHI. These significant findings suggest the existence of a smoking-induced disturbed sleep pattern.
1. Introduction
Smoking is now considered a chronic relapsing disease, which is rather difficult to treat. According to the World Health Organization (WHO), smoking is a major cause of early death worldwide, responsible not only for health problems, but also for increasing the costs to healthcare systems [1]. Smoking-related diseases, such as ischemic heart disease, ischemic cerebral disease and lower respiratory tract diseases are responsible for a great proportion of deaths worldwide (12.9%, 11.4% and 5.9%, respectively) [2]. The relative risk attributed to smoking is estimated to be 26.7% for ischemic heart disease, 32.2% for ischemic cerebral disease and 72.2% for chronic obstructive pulmonary disease (COPD) [3].
Obstructive sleep apneas–hypopneas (OSA) affect 17% and 9% of middle-aged males and females, respectively [4], while obstructive sleep apnea–hypopnea syndrome (OSAHS), which is characterized by symptoms, such as excessive daytime sleepiness, affects 3–7% of the population worldwide [5]. OSAHS symptoms include excessive daytime sleepiness, snoring, non-refreshing sleep, gasping–choking episodes and awakenings during sleep. OSA can emerge in every sleep stage; however, the respiratory events are more often during rapid eye movement (REM) sleep, due to the decreased muscle tone. Dynamic narrowing of the upper airways during sleep causes repeated apneic episodes, leading to sleep fragmentation and excessive daytime sleepiness [6]. Additionally, repeated sleep apneas result in hypoxemia, hypercarbia, hypertension and increased sympathetic tone, increasing the risk of endothelial dysfunction [7]. Significant intrathoracic pressure swings and increased blood pressure during sleep are considered to augment the risk for cardiovascular events in patients with OSA [8]. Therefore, OSA, along with smoking, both constitute significant risk factors for cardiovascular disease.
Many studies have tried to prove the relationship between OSAHS and smoking, showing a higher prevalence of smoking in OSAHS patients [9,10]. Additionally, there is evidence that smoking might be a risk factor for apneas and snoring [11,12,13]. Smokers present decreased sleep quality with greater sleep latency and increased difficulty in maintaining sleep [14,15,16]. Smoking worsens chronic airway inflammation, contributing to OSAHS symptoms [17]. Active and passive smoking, as well as a history of smoking, have been correlated with snoring [12]. Nevertheless, evidence is still conflicting, failing to prove a definite and clinically significant correlation between smoking and OSAHS. Despite that, possible mechanisms by which smoking affects OSAHS include changes in sleep architecture, neuromuscular dysfunction of the upper airway, frequent awakenings and enhancement in upper-airway inflammation [13]. Additionally, non-treated OSAHS has been correlated with increased smoking addiction [18,19]. Yet, there is a need for more large-scale studies, in order to clarify the relationship of these two disorders.
Apart from OSAHS, there are also sleep disorders that are not directly related to apneic episodes during sleep. Sleep behaviors, such as sleep talking, sleepwalking, sleep paralysis, night terrors, nightmares, restless sleep, bruxism, sleep-related eating disorder, restless legs and abnormal movements during sleep, are a nuisance for a significant part of the general population; however, there is little understanding about the pathogenesis of these disorders. Smoking has been proposed to be one of the etiologic factors for these disorders, particularly in the form of second-hand smoke exposure during pregnancy or early childhood [20,21]. In addition to that, smoking has been associated with possible REM behavior disorder (RBD) [22,23], sleep-related eating disorder [24] and sleep paralysis [25]. However, other studies failed to prove a relationship between smoking and parasomnias in general [26].
The aim of this study was to assess possible relations between smoking history and OSAHS-related symptoms, sleep study findings and co-morbidities. Additionally, this study aimed to evaluate other non-OSAHS-related sleep disorders, in patients visiting a sleep clinic, in order to investigate a holistic relationship between smoking and sleep disturbances.
2. Materials and Methods
The protocol of this cross-sectional study was approved by the local ethics committee (reference number: 965/290618) and all participants gave their written informed consent. All adult patients who visited the sleep clinic in our hospital from September 2010 to September 2020 and consented to participate were considered eligible and were included in the analysis. The patients were divided by their smoking history as current smokers (adults who have smoked 100 cigarettes in their lifetime and who currently smoke cigarettes), former smokers (adults who have smoked at least 100 cigarettes in their lifetime but who had quit smoking at the time of interview) and never smokers (adults who have never smoked or who have smoked less than 100 cigarettes in their lifetime), according to the definitions of the National Health Interview Survey (NHIS) of the US Centers for Disease Control and Prevention (CDC) [27]. Current smokers and former smokers were also grouped together, creating the group of ever smokers. Eventually, 4347 participants (1498 never smokers, 1480 former smokers and 1369 current smokers) were included in the analysis.
The baseline characteristics of the participants were recorded and included their age, gender, family status, body mass index (BMI), neck, waist and hip circumference, Malampati score, SaO2, heart rate and arterial blood pressure. The participants answered a questionnaire about their smoking status, i.e., their smoking history, the number of cigarettes smoked per day and the number of packyears. The medical history of the participants was also recorded (alcohol consumption, cardiovascular, respiratory, metabolic and psychiatric co-morbidities). In addition, questionnaires about night-time sleep and nap duration, sleep latency, questions regarding possible sleep disturbances (the existence of nightmares, sleep talking, abnormal movements, restless sleep or leg movements) and about OSA-related symptoms (dry mouth, morning fatigue, bad mood, headaches, heavy head, memory loss, dropping thing from hands, needing a passenger when driving to be kept awake, snoring frequency and loudness, choking–breathing pauses during sleep and night awakenings) were completed. Epworth sleepiness scale (ESS) [28], Berlin and STOP bang questionnaires [29,30], Athens insomnia scale (AIS) [31] and Rosenberg self-esteem scale [32] were also included
All patients that participated in the study were subjected to sleep studies: 186 underwent full polysomnography (PSG) (type 1 sleep study, including: electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), electrocardiogram (ECG), airflow, respiratory effort and oxygen saturation measurements) and the rest polygraphy (type 3 sleep study, including: respiratory movement, airflow, pulse rate and oxygen saturation measurements) [33]. The sleep studies were manually scored according to the American Academy of Sleep Medicine (AASM) criteria [34], by sleep technicians with more than 3 years of experience. Apnea hypopnea index (AHI) was used to evaluate OSA severity (no OSA: AHI < 5, mild OSA: AHI 5–15, moderate OSA: AHI 15–30, severe OSA: AHI > 30) [35,36].
Statistical analysis was performed using SPSS (version 20 IBM SPSS statistical software, Armonk, NY, USA). Continuous variables were presented as mean ± SD and categorical variables as number/total (%). p < 0.05 was accepted as statistically significant. To separate parametric from non-parametric variables, normality tests using the Kolmogorov–Smirnov test were performed. To detect significant differences between current, former and never smokers, a one-way ANOVA or a Kruskal–Wallis test was performed for parametric and non-parametric variables, respectively, followed by a post hoc analysis between pairs of groups, using the Bonferroni test or the Mann–Whitney U test for parametric and non-parametric variables, respectively. An independent samples T test or Mann–Whitney U test was performed for parametric and non-parametric variables, respectively, in order to detect significant differences between ever and never smokers. To detect significant differences for categorical variables, between current, former and never smokers or between ever and never smokers, a Chi-Square Test, using the Fisher’s exact test where appropriate, was performed. A post hoc analysis, using the same tests, was performed between the pairs of groups of current, former and never smokers. Finally, to compare AHI among possible answers regarding abnormal sleep behaviors between ever and never smokers, the same parametric or non-parametric tests for continuous variables were used, where appropriate, in the same way as previously described.
3. Results
Comparison between former and current smokers showed that former smokers had a history of consumption of a significantly greater number of cigarettes per day and pack/years and that former smokers had quit 4.36 ± 7.84 years before study enrollment. Although former smokers were significantly older than never smokers, no significant age differences were established between ever and never smokers (53.3 ± 12.7 years vs. 53.7 ± 14.9 years, p = 0.26). The group of ever smokers included significantly more males compared to never smokers (78.1% vs. 58.6%, p < 0.001) with significantly higher BMI and larger neck and waist, but not hip, circumference (Table 1). Ever smokers were consuming more alcohol (p < 0.001) and suffered more frequently from diabetes mellitus (16.9% vs. 14.0%, p = 0.012), coronary heart disease (13.2% vs. 6.2%, p < 0.001), acute myocardial infarction (3.6% vs. 1.1%, p < 0.001), hyperlipidemia (18.0% vs. 15.0%, p = 0.014) and pulmonary disease (10.0% vs. 5.3%, p < 0.001), while the opposite was true for hypothyroidism (10.0% vs. 16.5%, p < 0.001) (Table 2).
From the data from sleep questionnaires, never smokers presented significantly higher night-sleep duration compared to ever smokers (3.18 ± 0.78 h vs. 3.13 ± 0.77 h, p = 0.044), who, on the other hand, presented longer nap duration (2.95 ± 0.58 h vs. 2.86 ± 0.61 h, p < 0.001). Never smokers had higher self-esteem, with a significantly higher score in the Rosenberg self-esteem scale (22.2 ± 4.8 vs. 21.8 ± 4.8, p = 0.035). Berlin and STOP Bang questionnaires predicted higher risk for OSAHS in ever smokers compared to never smokers (87.1% vs. 84.6%, p = 0.024 and 96.2% vs. 93.0%, p < 0.001, respectively). However, there were no significant differences between the two groups regarding ESS and AIS (p = 0.13, p = 0.83, respectively). Yet, ever smokers, compared to never smokers, presented significantly more frequent episodes of sleep talking (30.8% vs. 26.6%, p = 0.004), abnormal movements (31.1% vs. 27.7%, p = 0.021), restless sleep (59.1% vs. 51.6%, p < 0.001) and leg movements (p = 0.002), especially the group of current smokers (Table 3) (p < 0.001 for all comparisons between never and current smokers in the post hoc analysis).
In terms of OSA-related symptoms, there were no differences between ever and never smokers in the presence of symptoms, such as dry mouth, morning fatigue, bad mood, memory loss or dropping things from hands. Never smokers declared significantly more frequent headaches and/or heavy head compared to ever smokers (p < 0.001 in both), while the opposite applied for the need of the presence of a passenger when driving to be kept awake (19.9% vs. 15.4%, p < 0.001). Ever smokers also presented significantly more frequent breathing pauses during sleep (p = 0.011), while their snoring was louder (p = 0.008), especially the current smokers (Table 4).
From the data collected from the sleep studies, ever smokers had significantly higher AHI and ODI compared to never smokers (34.4 ± 24.6 events/h vs. 31.7 ± 23.6 events/h, p < 0.001 and 33.9 ± 25.0 events/h vs. 31.0 ± 23.9 events/h, p < 0.001) and significantly lower mean SaO2 (91.8 ± 3.4% vs. 92.2 ± 3.9%, p < 0.001). Furthermore, they suffered more frequently from moderate and severe OSAHS compared to never smokers (50.3% vs. 46.9% and 26.2% vs. 24.8%, respectively), who were more frequently diagnosed with no or mild disease (13.1% vs. 12.7% and 15.3% vs. 10.8%, respectively, p < 0.001) (Table 5).
Finally, in both ever and never smokers who reported increased frequency of leg movements and other abnormal sleep behaviors, including sleep talking, abnormal movements and restless sleep, AHI was significantly higher (p < 0.001 in all of them), with the exception of nightmares (p = 0.52 in ever and p = 0.31 in never smokers) (Table 6).
4. Discussion
In this large-scale cross-sectional study, it was found that the severity of OSAHS was significantly greater in ever smokers compared to never smokers; Berlin and STOP Bang questionnaires predicted higher risk for OSAHS in ever smokers compared to never smokers. Additionally, there was a significant correlation between positive smoking history and sleep talking, and restless sleep and leg movements during sleep.
To the best of our knowledge, this is one of the largest observational studies—with a total of 4347 participants—which investigated the relationship between smoking and OSAHS. A recently published meta-analysis included a higher number of patients, but the data were derived from 13 distinct studies, and each one included a lower number of participants compared to ours [37]. Similar to previously published data, the present study also found that AHI was significantly higher in ever smokers compared to never smokers and that smoking is associated with OSA severity [9,13,37,38,39]. However, ESS and minimum SaO2 did not differ between these two groups, whereas ODI and mean SaO2 did [37]. Excessive daytime sleepiness was not found to differ between the two groups, which is in accordance with the fact that both groups presented similar prevalence in the majority of OSA-related symptoms, such as morning fatigue, bad mood, memory loss and falling asleep during reading.
Another interesting finding in the present research was that OSAHS patients in the ever-smoker group exhibited a significantly higher prevalence of co-morbidities, such as diabetes mellitus, hyperlipidemia, coronary disease, acute myocardial infarction and pulmonary disease. Previous studies have shown that untreated OSAHS, especially severe, significantly increases the incidence of diabetes mellitus, ischemic heart disease and acute myocardial infarction [40]. Therefore, smoking could contribute to the pathogenesis of these diseases, both directly, with its well-known mechanisms of action on the vascular endothelium, and indirectly, by increasing OSAHS severity.
Apart from OSAHS-related findings, this study also demonstrated that smoking had an impact on other non-OSAHS-related sleep parameters. Previous studies have shown that sleep quality might be worse in smokers, with increased sleep latency, higher prevalence of awakenings and difficulty in waking up [14,15,16,41]. In our study, sleep latency and reported awakenings did not differ significantly between ever and never smokers. However, night-sleep duration was significantly shorter in ever smokers, who presented longer nap duration during the daytime. These findings are in accordance with those of previous studies [42,43] in populations other than OSAHS, who had not been evaluated for sleep apnea with sleep studies. In addition to that, in the present study, abnormal sleep behaviors, such as sleep talking, abnormal movements, restless sleep and leg movements during sleep, were significantly more frequent in ever smokers and particularly in current smokers. This phenomenon has been observed, with second-hand smoke exposure during pregnancy or early childhood [20,21], or even with adult smoking [22,23,24,25], but not in all studies [26], none of which included OSAHS patients. Furthermore, abnormal sleep behaviors have also been related to increasing AHI [44,45,46]. Yet, to the best of our knowledge, our study is the first one to demonstrate that in a population of patients with OSAHS, there might be a significant correlation between positive smoking history and both abnormal sleep behaviors and increasing AHI. Thus, it is plausible to suggest that there might be a positive correlation between smoking history and abnormal sleep behaviors, not only directly but also indirectly, by increased AHI in ever smokers.
This study presents several limitations. It is a cross-sectional study and one cannot establish a cause-and-effect relationship between smoking and sleep disorders because the temporal sequence between the two cannot be determined. Furthermore, there were significant differences between ever and never smokers in baseline characteristics, such as BMI, neck and waist circumference, that might be responsible for the more severe presentation of OSAHS in these groups. Additional confounding factors contributing to more severe OSAHS in the group of ever smokers include increased alcohol consumption and a higher frequency of pulmonary and cardiovascular co-morbidities. On the other hand, cardiovascular disease may be the result of the more severe presentation of OSAHS, instead of the cause, creating a cause-and-effect loop. In any case, the population in our study represents a “real-life” patient group, visiting a sleep clinic, and the results should be interpreted under this spectrum. Another limitation is that full PSG was conducted in a minority of patients, while the majority was assessed with type 3 sleep studies, preventing a detailed evaluation of sleep architecture. Moreover, the presence of sleep behaviors was not based on objective means, but was made subjectively by the patients or their partners, leading to a potential recall bias.
Despite its limitations, the current study demonstrated a more severe presentation of OSAHS in smokers, with more frequent metabolic and cardiovascular co-morbidities, although it did not confirm the presence of the excessive daytime sleepiness of previous studies in this group of patients. More importantly, to the best of our knowledge, this is the first large-scale cross-sectional study that reported a significantly higher frequency of different sleep behaviors in smokers compared to non-smokers in patients with OSAHS. Hence, taking into consideration the findings of this study, the term “smoking obstructive sleep apnea” could be considered as a distinctive phenotype [38]. Future studies, more focused on additional sleep symptoms and disorders, are necessary in order to evaluate, in more detail, smoking-induced disturbed sleep patterns.
Author Contributions
Conceptualization, I.G., P.S., I.P., A.M., S.-C.K., K.P., D.S. and A.P.; methodology, I.G., P.S., I.P., A.M., K.C., S.-C.K., K.P., D.S. and A.P.; software, S.-C.K.; validation, I.G., P.S., K.C., S.-C.K., K.P., and A.P.; formal analysis, I.G., P.S., I.P., A.M., K.C., S.-C.K. and K.P.; investigation, I.G., P.S., I.P., A.M., K.P., D.S. and A.P.; resources, S.-C.K.; writing—original draft preparation, I.G., P.S., S.-C.K., K.P. and A.P.; writing—review and editing, I.P., A.M., K.C. and S.-C.K.; supervision, S.-C.K., D.S. and A.P.; project administration, A.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the local Ethics Committee.
Informed Consent Statement
Written informed consent was obtained from all participants involved in the study.
Data Availability Statement
Data used in the present study are available upon request from the corresponding author.
Conflicts of Interest
The authors declare no conflict of interest.
References
- World Health Organization. Guidelines for Controlling and Monitoring the Tobacco Epidemic; World Health Organization: Geneva, Switzerland, 1998; Available online: http://www.who.int/iris/handle/10665/42049 (accessed on 16 September 2022).
- Kim, S.-H.; Lee, J.-A.; Kim, K.-U.; Cho, H.-J. Results of an Inpatient Smoking Cessation Program: 3-Month Cessation Rate and Predictors of Success. Korean J. Fam. Med. 2015, 36, 50–59. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jee, S.H.; Yun, J.E.; Park, J.Y.; Sull, J.W.; Kim, I.S. Smoking and cause of death in Korea: 11 years follow-up prospective study. Korean J. Epidemiol. 2005, 27, 182–190. [Google Scholar]
- Peppard, P.E.; Young, T.; Barnet, J.H.; Palta, M.; Hagen, E.W.; Hla, K.M. Increased Prevalence of Sleep-Disordered Breathing in Adults. Am. J. Epidemiol. 2013, 177, 1006–1014. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Pataka, A.; Riha, R.L. The obstructive sleep apnoea/hypopnoea syndrome—An overview. Respir. Med. CME 2009, 2, 111–117. [Google Scholar] [CrossRef] [Green Version]
- Jennum, P.; Riha, R.L. Epidemiology of sleep apnoea/hypopnoea syndrome and sleep-disordered breathing. Eur. Respir. J. 2009, 33, 907–914. [Google Scholar] [CrossRef] [Green Version]
- Gami, A.S.; Howard, D.E.; Olson, E.J.; Somers, V.K. Day–Night Pattern of Sudden Death in Obstructive Sleep Apnea. N. Engl. J. Med. 2005, 352, 1206–1214. [Google Scholar] [CrossRef] [PubMed]
- Marshall, N.S.; Wong, K.K.H.; Cullen, S.R.; Knuiman, M.; Grunstein, R.R. Sleep Apnea and 20-Year Follow-Up for All-Cause Mortality, Stroke, and Cancer Incidence and Mortality in the Busselton Health Study Cohort. J. Clin. Sleep Med. 2014, 10, 355–362. [Google Scholar] [CrossRef] [Green Version]
- Bielicki, P.; Trojnar, A.; Sobieraj, P.; Wąsik, M. Smoking Status in Relation to Obstructive Sleep Apnea Severity (OSA) And Cardiovascular Comorbidity in Patients with Newly Diagnosed OSA. Adv. Respir. Med. 2019, 87, 103–109. [Google Scholar] [CrossRef] [Green Version]
- Deleanu, O.-C.; Pocora, D.; Mihălcuţă, S.; Ulmeanu, R.; Zaharie, A.-M.; Mihălţan, F.D. Influence of smoking on sleep and obstructive sleep apnea syndrome. Pneumologia 2016, 65, 28–35. [Google Scholar]
- Bearpark, H.; Elliott, L.; Grunstein, R.; Cullen, S.; Schneider, H.; Althaus, W.; Sullivan, C. Snoring and sleep apnea. A population study in Australian men. Am. J. Respir. Crit. Care Med. 1995, 151, 1459–1465. [Google Scholar] [CrossRef]
- Franklin, K.A.; Gíslason, T.; Omenaas, E.; Jõgi, R.; Jensen, E.J.; Lindberg, E.; Gunnbjörnsdóttir, M.; Nyström, L.; Laerum, B.N.; Björnsson, E.; et al. The Influence of Active and Passive Smoking on Habitual Snoring. Am. J. Respir. Crit. Care Med. 2004, 170, 799–803. [Google Scholar] [CrossRef] [PubMed]
- Krishnan, V.; Dixon-Williams, S.; Thornton, J.D. Where there is smoke there is sleep apnea: Exploring the relationship between smoking and sleep apnea. Chest 2014, 146, 1673–1680. [Google Scholar] [CrossRef] [PubMed]
- Phillips, B.A.; Danner, F.J. Cigarette smoking and sleep disturbance. Arch. Intern. Med. 1995, 155, 734–737. [Google Scholar] [CrossRef] [PubMed]
- Soldatos, C.R.; Kales, J.D.; Scharf, M.B.; Bixler, E.O.; Kales, A. Cigarette Smoking Associated with Sleep Difficulty. Science 1980, 207, 551–553. [Google Scholar] [CrossRef] [PubMed]
- Zhang, L.; Samet, J.; Caffo, B.; Punjabi, N.M. Cigarette Smoking and Nocturnal Sleep Architecture. Am. J. Epidemiol. 2006, 164, 529–537. [Google Scholar] [CrossRef]
- Kim, K.S.; Kim, J.H.; Park, S.Y.; Won, H.-R.; Lee, H.-J.; Yang, H.S.; Kim, H.J. Smoking Induces Oropharyngeal Narrowing and Increases the Severity of Obstructive Sleep Apnea Syndrome. J. Clin. Sleep Med. 2012, 8, 367–374. [Google Scholar] [CrossRef]
- Schrand, J.R. Is sleep apnea a predisposing factor for tobacco use? Med. Hypotheses 1996, 47, 443–448. [Google Scholar] [CrossRef]
- Wetter, D.W.; Young, T.B.; Bidwell, T.R.; Badr, M.S.; Palta, M. Smoking as a risk factor for sleep-disordered breathing. Arch. Intern. Med. 1994, 154, 2219–2224. [Google Scholar] [CrossRef]
- O’Callaghan, F.; O’Callaghan, M.; Scott, J.G.; Najman, J.; Mamun, A. Effect of maternal smoking in pregnancy and childhood on child and adolescent sleep outcomes to 21 years: A birth cohort study. BMC Pediatr. 2019, 19, 70. [Google Scholar] [CrossRef] [Green Version]
- Lin, L.-Z.; Xu, S.-L.; Wu, Q.-Z.; Zhou, Y.; Ma, H.-M.; Chen, D.-H.; Dong, P.-X.; Xiong, S.-M.; Shen, X.-B.; Zhou, P.-E.; et al. Exposure to second-hand smoke during early life and subsequent sleep problems in children: A population-based cross-sectional study. Environ. Health 2021, 20, 127. [Google Scholar] [CrossRef]
- Yao, C.; Fereshtehnejad, S.M.; Keezer, M.R.; Wolfson, C.; Pelletier, A.; Postuma, R.B. Risk factors for possible REM sleep behavior disorder: A CLSA population-based cohort study. Neurology 2018, 92, e475–e485. [Google Scholar] [CrossRef]
- Postuma, R.B.; Montplaisir, J.Y.; Pelletier, A.; Dauvilliers, Y.; Oertel, W.; Iranzo, A.; Strambi, L.F.; Arnulf, I.; Högl, B.; Manni, R.; et al. Environmental risk factors for REM sleep behavior disorder: A multicenter case-control study. Neurology 2012, 79, 428–434. [Google Scholar] [CrossRef]
- Matsui, K.; Komada, Y.; Nishimura, K.; Kuriyama, K.; Inoue, Y. Prevalence and Associated Factors of Nocturnal Eating Behavior and Sleep-Related Eating Disorder-Like Behavior in Japanese Young Adults: Results of an Internet Survey Using Munich Parasomnia Screening. J. Clin. Med. 2020, 9, 1243. [Google Scholar] [CrossRef]
- Wróbel-Knybel, P.; Flis, M.; Rog, J.; Jalal, B.; Wołkowski, L.; Karakuła-Juchnowicz, H. Characteristics of Sleep Paralysis and Its Association with Anxiety Symptoms, Perceived Stress, PTSD, and Other Variables Related to Lifestyle in Selected High Stress Exposed Professions. Int. J. Environ. Res. Public Health 2022, 19, 7821. [Google Scholar] [CrossRef]
- Oluwole, O.S. Lifetime prevalence and incidence of parasomnias in a population of young adult Nigerians. J. Neurol. 2010, 257, 1141–1147. [Google Scholar] [CrossRef]
- CDC/National Center for Health Statistics, 29 August 2017. Adult Tobacco Use Information. Available online: https://www.cdc.gov/nchs/nhis/tobacco/tobacco_glossary.htm (accessed on 29 August 2019).
- Johns, M.W. A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale. Sleep 1991, 14, 540–545. [Google Scholar] [CrossRef] [Green Version]
- Netzer, N.C.; Stoohs, R.A.; Netzer, C.M.; Clark, K.; Strohl, K.P. Using the Berlin Questionnaire To Identify Patients at Risk for the Sleep Apnea Syndrome. Ann. Intern. Med. 1999, 131, 485–491. [Google Scholar] [CrossRef]
- Chung, F.; Yegneswaran, B.; Liao, P.; Chung, S.A.; Vairavanathan, S.; Islam, S.; Shapiro, C.M. STOP questionnaire: A tool to screen patients for obstructive sleep apnea. Anesthesiology 2008, 108, 812–821. [Google Scholar] [CrossRef] [Green Version]
- Soldatos, C.R.; Dikeos, D.G.; Paparrigopoulos, T.J. Athens Insomnia Scale: Validation of an instrument based on ICD-10 criteria. J. Psychosom. Res. 2000, 48, 555–560. [Google Scholar] [CrossRef]
- Martín-Albo, J.; Núñez, J.L.; Navarro, J.G.; Grijalvo, F. The Rosenberg Self-Esteem Scale: Translation and Validation in University Students. Span. J. Psychol. 2007, 10, 458–467. [Google Scholar] [CrossRef] [Green Version]
- Tsara, V.; Amfilochiou, A.; Papagrigorakis, M.J.; Georgopoulos, D.; Liolios, E. Guidelines for diagnosis and treatment of sleep-related breathing disorders in adults and children. Definition and classification of sleep related breathing disorders in adults: Different types and indications for sleep studies (Part 1). Hippokratia 2009, 13, 187–191. [Google Scholar]
- Berry, R.B.; Brooks, R.; Gamaldo, C.; Harding, S.M.; Lloyd, R.M.; Quan, S.F.; Troester, M.T.; Vaughn, B.V. AASM Scoring Manual Updates for 2017 (Version 2.4). J. Clin. Sleep Med. 2017, 13, 665–666. [Google Scholar] [CrossRef]
- Ruehland, W.R.; Rochford, P.D.; O’Donoghue, F.J.; Pierce, R.J.; Singh, P.; Thornton, A.T. The New Aasm Criteria for Scoring Hypopneas: Impact on the Apnea Hypopnea Index. Sleep 2009, 32, 150–157. [Google Scholar] [CrossRef]
- Mbata, G.; Chukwuka, J. Obstructive sleep apnea hypopnea syndrome. Ann. Med. Health Sci. Res. 2012, 2, 74–77. [Google Scholar] [CrossRef] [Green Version]
- Zeng, X.; Ren, Y.; Wu, K.; Yang, Q.; Zhang, S.; Wang, D.; Luo, Y.; Zhang, N. Association Between Smoking Behavior and Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis. Nicotine Tob. Res. 2022, ntac126. [Google Scholar] [CrossRef]
- Oțelea, M.R.; Trenchea, M.; Rașcu, A.; Antoniu, S.; Zugravu, C.; Busnatu, Ș.; Simionescu, A.A.; Arghir, O.C. Smoking Obstructive Sleep Apnea: Arguments for a Distinctive Phenotype and a Personalized Intervention. J. Pers. Med. 2022, 12, 293. [Google Scholar] [CrossRef]
- Ioannidou, D.; Kalamaras, G.; Kotoulas, S.-C.; Pataka, A. Smoking and Obstructive Sleep Apnea: Is There An Association between These Cardiometabolic Risk Factors?—Gender Analysis. Medicina 2021, 57, 1137. [Google Scholar] [CrossRef]
- Dodds, S.; Williams, L.J.; Roguski, A.; Vennelle, M.; Douglas, N.J.; Kotoulas, S.-C.; Riha, R.L. Mortality and morbidity in obstructive sleep apnoea–hypopnoea syndrome: Results from a 30-year prospective cohort study. ERJ Open Res. 2020, 6, 00057–2020. [Google Scholar] [CrossRef]
- Wetter, D.; Young, T. The Relation Between Cigarette Smoking and Sleep Disturbance. Prev. Med. 1994, 23, 328–334. [Google Scholar] [CrossRef]
- Metse, A.P.; Clinton-McHarg, T.; Skinner, E.; Yogaraj, Y.; Colyvas, K.; Bowman, J. Associations between Suboptimal Sleep and Smoking, Poor Nutrition, Harmful Alcohol Consumption and Inadequate Physical Activity (‘SNAP Risks’): A Comparison of People with and without a Mental Health Condition in an Australian Community Survey. Int. J. Environ. Res. Public Health 2021, 18, 5946. [Google Scholar] [CrossRef]
- Cheng, G.H.-L.; Chan, A.; Lo, J.C. Factors of nocturnal sleep and daytime nap durations in community-dwelling elderly: A longitudinal population-based study. Int. Psychogeriatr. 2017, 29, 1335–1344. [Google Scholar] [CrossRef]
- Verbraecken, J. More than sleepiness: Prevalence and relevance of nonclassical symptoms of obstructive sleep apnea. Curr. Opin. Pulm. Med. 2022, 28, 552–558. [Google Scholar] [CrossRef]
- Baran, A.S.; Richert, A.C.; Douglass, A.B.; May, W.; Ansarin, K. Change in Periodic Limb Movement Index During Treatment of Obstructive Sleep Apnea with Continuous Positive Airway Pressure. Sleep 2003, 26, 717–720. [Google Scholar] [CrossRef]
- Massahud, M.L.B.; Bruzinga, F.F.B.; Diniz, S.A.M.; Seraidarian, K.K.A.; Lopes, R.M.; Barros, V.M.; Seraidarian, P.I. Association between sleep bruxism, use of antidepressants, and obstructive sleep apnea syndrome: A cross-sectional study. J. Oral Rehabil. 2022, 49, 505–513. [Google Scholar] [CrossRef]
Table 1.
Baseline characteristics.
| Characteristic | Smoking Status | Ever Smoker | ||||||
|---|---|---|---|---|---|---|---|---|
| Never Smoker | Former Smoker | Current Smoker | p (Value) | No | Yes | p (Value) | ||
| Age (years) | 53.7 ± 14.9 (N = 1493) | 57.5 ± 12.0 (N = 1478) | 48.7 ± 11.7 (N = 1364) | <0.001 | 53.7 ± 14.9 (N = 1493) | 53.3 ± 12.7 (N = 2842) | 0.26 | |
| Gender | Female | 619/1495 (41.4%) | 322/1368 (23.5%) | 301/1480 (20.3%) | <0.001 | 619/1495 (41.4%) | 623/2848 (21.9%) | <0.001 |
| Male | 876/1495 (58.6%) | 1046/1368 (76.5%) | 1179/1480 (79.7%) | 876/1495 (58.6%) | 2225/2848 (78.1%) | |||
| Family status | Single | 213/1213 (17.6%) | 115/1199 (9.6%) | 226/1157 (19.5%) | <0.001 | 213/1213 (17.6%) | 341/2356 (14.5%) | 0.013 |
| Married | 969/1213 (79.9%) | 1047/1199 (87.3%) | 874/1157 (75.5%) | 969/1213 (79.9%) | 1921/2356 (81.5%) | |||
| Divorced | 31/1213 (2.6%) | 37/1199 (3.1%) | 54/1157 (4.7%) | 31/1213 (2.6%) | 91/2356 (3.9%) | |||
| Cigarettes per day | n/a | 30.2 ± 19.9 (N = 1011) | 21.5 ± 13.4 (N = 1345) | <0.001 | n/a | 25.3 ± 17.1 (N = 2356) | n/a | |
| Packyears | n/a | 42.6 ± 38.0 (N = 1011) | 32.4 ± 25.0 (N = 1345) | <0.001 | n/a | 36.8 ± 31.6 (N = 2356) | n/a | |
| BMI (kg/m2) | 32.9 ± 7.3 (N = 1451) | 33.8 ± 6.9 (N = 1445) | 33.1 ± 7.2 (N = 1350) | 0.002 | 32.9 ± 7.3 (N = 1451) | 33.5 ± 7.1 (N = 2795) | 0.024 | |
| Neck circumference (cm) | 41.1 ± 7.1 (N = 959) | 42.6 ± 6.3 (N = 956) | 41.9 ± 6.8 (N = 921) | <0.001 | 41.1 ± 7.1 (N = 959) | 42.2 ± 6.5 (N = 1877) | <0.001 | |
| Waist circumference (cm) | 110.7 ± 18.0 (N = 820) | 112.4 ± 18.3 (N = 828) | 114.9 ± 16.2 (N = 793) | <0.001 | 110.7 ± 18.0 (N = 820) | 113.7 ± 17.3 (N = 1621) | <0.001 | |
| Hip circumference (cm) | 112.3 ± 15.4 (N = 776) | 113.5 ± 13.8 (N = 784) | 112.1 ± 15.9 (N = 751) | 0.16 | 112.3 ± 15.4 (N = 776) | 112.8 ± 14.9 (N = 1535) | 0.49 | |
| Malampati score | 2.7 ± 0.7 (N = 95) | 2.8 ± 0.6 (N = 92) | 2.8 ± 0.6 (N = 104) | 0.64 | 2.7 ± 0.7 (N = 95) | 2.8 ± 0.6 (N = 196) | 0.39 | |
| SaO2 (%) | 96.4 ± 2.2 (N = 981) | 95.9 ± 2.9 (N = 999) | 96.3 ± 1.8 (N = 937) | <0.001 | 96.4 ± 2.2 (N = 981) | 96.1 ± 2.5 (N = 1936) | <0.001 | |
| Heart rate (beats/minute) | 80.0 ± 13.5 (N = 980) | 78.8 ± 13.0 (N = 996) | 82.3 ± 13.0 (N = 933) | <0.001 | 80.0 ± 13.5 (N = 980) | 80.5 ± 13.1 (N = 1929) | 0.38 | |
| Systolic blood pressure (mmHg) | 125.5 ± 17.1 (N = 273) | 127.9 ± 15.5 (N = 312) | 125.5 ± 16.8 (N = 262) | 0.12 | 125.5 ± 17.1 (N = 273) | 126.8 ± 16.2 (N = 574) | 0.29 | |
| Diastolic blood pressure (mmHg) | 76.3 ± 9.7 (N = 272) | 77.5 ± 10.0 (N = 309) | 77.2 ± 10.3 (N = 261) | 0.34 | 76.3 ± 9.7 (N = 272) | 77.4 ± 10.2 (N = 570) | 0.16 | |
N = number, n/a = not applicable, m = meters, Kg = kilograms, cm = centimeters, mmHg = millimeters of Mercury.
Table 2.
Co-morbidities.
| Co-Morbidity | Smoking Status | Ever Smoker | ||||||
|---|---|---|---|---|---|---|---|---|
| Never Smoker | Former Smoker | Current Smoker | p (Value) | No | Yes | p (Value) | ||
| Alcohol | Almost never | 685/1469 (46.6%) | 442/1452 (30.4%) | 386/1343 (28.7%) | <0.001 | 685/1469 (46.6%) | 828/2795 (29.6%) | <0.001 |
| A few times per month | 685/1469 (46.6%) | 829/1452 (57.1%) | 729/1343 (54.3%) | 685/1469 (46.6%) | 1558/2795 (55.7%) | |||
| 1–2 times per week | 57/1469 (3.9%) | 83/1452 (5.7%) | 109/1343 (8.1%) | 57/1469 (3.9%) | 192/2795 (6.9%) | |||
| 3–5 times per week | 23/1469 (1.6%) | 53/1452 (3.7%) | 67/1343 (5.0%) | 23/1469 (1.6%) | 120/2795 (4.3%) | |||
| Every day | 19/1469 (1.3%) | 45/1452 (3.1%) | 52/1343 (3.9%) | 19/1469 (1.3%) | 97/2795 (3.5%) | |||
| Hypertension | 630/1498 (42.1%) | 683/1480 (46.1%) | 450/1369 (32.9%) | <0.001 | 630/1498 (42.1%) | 1133/2849 (39.8%) | 0.14 | |
| Diabetes Mellitus | 209/1498 (14.0%) | 311/1480 (21.0%) | 170/1369 (12.4%) | <0.001 | 209/1498 (14.0%) | 481/2849 (16.9%) | 0.012 | |
| Coronary disease | 93/1498 (6.2%) | 266/1480 (18.0%) | 109/1369 (8.0%) | <0.001 | 93/1498 (6.2%) | 375/2849 (13.2%) | <0.001 | |
| Acute myocardial infarction | 17/1498 (1.1%) | 68/1480 (4.6%) | 33/1369 (2.4%) | <0.001 | 17/1498 (1.1%) | 101/2849 (3.6%) | <0.001 | |
| Heart failure | 12/1498 (0.8%) | 19/1480 (1.3%) | 5/1369 (0.4%) | 0.026 | 12/1498 (0.8%) | 24/2849 (0.8%) | 0.89 | |
| Arrythmia | 195/1498 (13.0%) | 256/1480 (17.3%) | 122/1369 (8.9%) | <0.001 | 195/1498 (13.0%) | 378/2849 (13.3%) | 0.82 | |
| Hyperlipidemia | 225/1498 (15.0%) | 309/1480 (20.9%) | 203/1369 (14.8%) | <0.001 | 225/1498 (15.0%) | 512/2849 (18.0%) | 0.014 | |
| Ischemic stroke | 41/1498 (2.7%) | 47/1480 (3.2%) | 39/1369 (2.9%) | 0.76 | 41/1498 (2.7%) | 86/2849 (3.0%) | 0.60 | |
| Pulmonary disease | 79/1498 (5.3%) | 193/1480 (13.0%) | 93/1369 (6.8%) | <0.001 | 79/1498 (5.3%) | 286/2849 (10.0%) | <0.001 | |
| Hypothyroidism | 247/1498 (16.5%) | 168/1480 (11.4%) | 117/1369 (8.6%) | <0.001 | 247/1498 (16.5%) | 285/2849 (10.0%) | <0.001 | |
| Depression | 27/1498 (1.8%) | 31/1480 (2.1%) | 45/1369 (3.3%) | 0.023 | 27/1498 (1.8%) | 76/2849 (2.7%) | 0.08 | |
Table 3.
Sleep symptoms and sleep questionnaires according to the smoking status of the participants.
Table 3.
Sleep symptoms and sleep questionnaires according to the smoking status of the participants.
| Characteristic | Smoking Status | Ever Smoker | ||||||
|---|---|---|---|---|---|---|---|---|
| Never Smoker | Former Smoker | Current Smoker | p (Value) | No | Yes | p (Value) | ||
| Epworth sleepiness scale | 9.6 ± 4.7 (N = 1473) | 9.9 ± 4.5 (N = 1459) | 9.7 ± 4.7 (N = 1352) | 0.23 | 9.6 ± 4.7 (N = 1473) | 9.8 ± 4.6 (N = 2811) | 0.13 | |
| Athens insomnia scale | 17.1 ± 5.5 (N = 1241) | 17.0 ± 5.6 (N = 1250) | 17.2 ± 5.2 (N = 1181) | 0.66 | 17.1 ± 5.5 (N = 1241) | 17.1 ± 5.4 (N = 2431) | 0.83 | |
| Rosenberg self-esteem scale | 22.2 ± 4.8 (N = 758) | 22.1 ± 4.8 (N = 788) | 21.5 ± 4.8 (N = 806) | 0.003 | 22.2 ± 4.8 (N = 758) | 21.8 ± 4.8 (N = 1594) | 0.035 | |
| Berlin questionnaire | Low risk | 226/1469 (15.4%) | 181/1452 (12.5%) | 179/1344 (13.3%) | 0.06 | 226/1469 (15.4%) | 360/2796 (12.9%) | 0.024 |
| High risk | 1243/1469 (84.6%) | 1271/1452 (87.5%) | 1165/1344 (86.7%) | 1243/1469 (84.6%) | 2436/2796 (87.1%) | |||
| Stop bang questionnaire | Low risk | 66/939 (7.0%) | 43/900 (4.8%) | 27/938 (2.9%) | <0.001 | 66/939 (7.0%) | 70/1838 (3.8%) | <0.001 |
| High risk | 873/939 (93.0%) | 857/900 (95.2%) | 911/938 (97.1%) | 873/939 (93.0%) | 1768/1838 (96.2%) | |||
| Nightmares | 430/1498 (28.7%) | 412/1480 (27.8%) | 378/1369 (27.6%) | 0.79 | 430/1498 (28.7%) | 790/2849 (27.7%) | 0.50 | |
| Sleep talking | 398/1498 (26.6%) | 421/1480 (28.5%) | 456/1369 (33.3%) | <0.001 | 398/1498 (26.6%) | 877/2849 (30.8%) | 0.004 | |
| Abnormal movements during sleep | 415/1498 (27.7%) | 433/1480 (29.3%) | 452/1369 (33.0%) | 0.006 | 415/1498 (27.7%) | 885/2849 (31.1%) | 0.021 | |
| Restless sleep | 773/1498 (51.6%) | 872/1480 (58.9%) | 811/1369 (59.2%) | <0.001 | 773/1498 (51.6%) | 1683/2849 (59.1%) | <0.001 | |
| Legs movements | Do not know | 60/1481 (4.1%) | 58/1462 (4.0%) | 54/1357 (4.0%) | <0.001 | 60/1481 (4.1%) | 112/2819 (4.0%) | 0.002 |
| Never | 402/1481 (27.1%) | 384/1462 (26.3%) | 326/1357 (24.0%) | 402/1481 (27.1%) | 710/2819 (25.2%) | |||
| Rarely | 93/1481 (6.3%) | 91/1462 (6.2%) | 105/1357 (7.7%) | 93/1481 (6.3%) | 196/2819 (7.0%) | |||
| Sometimes | 447/1481 (30.2%) | 405/1462 (27.7%) | 327/1357 (24.1%) | 447/1481 (30.2%) | 732/2819 (26.0%) | |||
| Usually | 407/1481 (27.5%) | 440/1462 (30.1%) | 439/1357 (32.4%) | 407/1481 (27.5%) | 879/2819 (31.2%) | |||
| Always | 72/1481 (4.9%) | 84/1462 (5.8%) | 106/1357 (7.8%) | 72/1481 (4.9%) | 190/2819 (6.7%) | |||
Table 4.
Sleep-apnea-related symptoms according to the smoking status of the participants.
| Symptom | Smoking Status | Ever Smoker | ||||||
|---|---|---|---|---|---|---|---|---|
| Never Smoker | Former Smoker | Current Smoker | p (Value) | No | Yes | p (Value) | ||
| Dry mouth | Do not Know | 2/1479 (0.1%) | 4/1465 (0.3%) | 2/1360 (0.2%) | 0.74 | 2/1479 (0.1%) | 6/2825 (0.2%) | 0.55 |
| Almost never | 411/1479 (27.8%) | 423/1465 (28.9%) | 388/1360 (28.5%) | 411/1479 (27.8%) | 811/2825 (28.7%) | |||
| 1–2 times per month | 14/1479 (1.0%) | 12/1465 (0.8%) | 6/1360 (0.4%) | 14/1479 (1.0%) | 18/2825 (0.6%) | |||
| 1–2 times per week | 19/1479 (1.3%) | 28/1465 (1.9%) | 24/1360 (1.8%) | 19/1479 (1.3%) | 52/2825 (1.8%) | |||
| 3–4 times per week | 38/1479 (2.6%) | 38/1465 (2.6%) | 29/1360 (2.1%) | 38/1479 (2.6%) | 67/2825 (2.4%) | |||
| Daily | 995/1479 (67.3%) | 960/1465 (65.5%) | 911/1360 (67.0%) | 995/1479 (67.3%) | 1871/2825 (66.2%) | |||
| Morning fatigue | Do not Know | 1/1483 (0.1%) | 4/1467 (0.3%) | 2/1361 (0.2%) | 0.035 | 1/1483 (0.1%) | 6/2828 (0.2%) | 0.38 |
| Almost never | 416/1483 (28.1%) | 468/1467 (31.9%) | 369/1361 (27.1%) | 416/1483 (28.1%) | 837/2828 (29.6%) | |||
| 1–2 times per month | 15/1483 (1.0%) | 21/1467 (1.4%) | 16/1361 (1.2%) | 15/1483 (1.0%) | 37/2828 (1.3%) | |||
| 1–2 times per week | 47/1483 (3.2%) | 39/1467 (2.7%) | 29/1361 (2.1%) | 47/1483 (3.2%) | 68/2828 (2.4%) | |||
| 3–4 times per week | 63/1483 (4.3%) | 64/1467 (4.4%) | 46/1361 (3.4%) | 63/1483 (4.3%) | 110/2828 (3.9%) | |||
| Daily | 941/1483 (63.5%) | 871/1467 (59.4%) | 899/1361 (66.1%) | 941/1483 (63.5%) | 1770/2828 (62.6%) | |||
| Bad mood | Almost never | 414/1483 (27.9%) | 469/1467 (32.0%) | 369/1361 (27.1%) | 0.034 | 414/1483 (27.9%) | 838/2828 (29.6%) | 0.60 |
| 1–2 times per month | 17/1483 (1.2%) | 21/1467 (1.4%) | 15/1361 (1.1%) | 17/1483 (1.2%) | 36/2828 (1.3%) | |||
| 1–2 times per week | 48/1483 (3.2%) | 38/1467 (2.6%) | 35/1361 (2.6%) | 48/1483 (3.2%) | 73/2828 (2.6%) | |||
| 3–4 times per week | 70/1483 (4.7%) | 67/1467 (4.6%) | 53/1361 (3.9%) | 70/1483 (4.7%) | 120/2828 (4.2%) | |||
| Almost daily | 933/1483 (62.9%) | 868/1467 (59.2%) | 889/1361 (65.3%) | 933/1483 (62.9%) | 1757/2828 (62.1%) | |||
| Daily | 1/1483 (0.1%) | 4/1467 (0.3%) | 0/1361 (0.0%) | 1/1483 (0.1%) | 4/2828 (0.1%) | |||
| Headache | Do not Know | 3/1483 (0.2%) | 1/1467 (0.1%) | 0/1360 (0.0%) | <0.001 | 3/1483 (0.2%) | 1/2827 (0.0%) | <0.001 |
| Almost never | 841/1483 (56.7%) | 942/1467 (64.2%) | 845/1360 (62.1%) | 841/1483 (56.7%) | 1787/2827 (63.2%) | |||
| 1–2 times per month | 68/1483 (4.6%) | 52/1467 (3.6%) | 41/1360 (3.0%) | 68/1483 (4.6%) | 93/2827 (3.3%) | |||
| 1–2 times per week | 75/1483 (5.1%) | 73/1467 (5.0%) | 90/1360 (6.6%) | 75/1483 (5.1%) | 163/2827 (5.8%) | |||
| 3–4 times per week | 109/1483 (7.4%) | 81/1467 (5.5%) | 69/1360 (5.1%) | 109/1483 (7.4%) | 150/2827 (5.3%) | |||
| Daily | 387/1483 (26.1%) | 318/1467 (21.7%) | 315/1360 (23.2%) | 387/1483 (26.1%) | 633/2827 (22.4%) | |||
| Heavy head | Do not Know | 2/1482 (0.1%) | 2/1467 (0.1%) | 2/1361 (0.2%) | 0.001 | 2/1482 (0.1%) | 4/2828 (0.1%) | <0.001 |
| Almost never | 827/1482 (55.8%) | 928/1467 (63.3%) | 841/1361 (61.8%) | 827/1482 (55.8%) | 1769/2828 (62.6%) | |||
| 1–2 times per month | 67/1482 (4.5%) | 47/1467 (3.2%) | 34/1361 (2.5%) | 67/1482 (4.5%) | 81/2828 (2.9%) | |||
| 1–2 times per week | 73/1482 (4.9%) | 67/1467 (4.6%) | 77/1361 (5.7%) | 73/1482 (4.9%) | 144/2828 (5.1%) | |||
| 3–4 times per week | 111/1482 (7.5%) | 89/1467 (6.1%) | 68/1361 (5.0%) | 111/1482 (7.5%) | 157/2828 (5.6%) | |||
| Daily | 402/1482 (27.1%) | 334/1467 (22.8%) | 339/1361 (24.9%) | 402/1482 (27.1%) | 673/2828 (23.8%) | |||
| Need a passenger when driving to be kept awake | 231/1498 (15.4%) | 299/1480 (20.2%) | 269/1369 (19.7%) | 0.001 | 231/1498 (15.4%) | 568/2849 (19.9%) | <0.001 | |
| Snoring frequency | Never | 15/1498 (1.0%) | 14/1480 (1.0%) | 9/1369 (0.7%) | 0.31 | 15/1498 (1.0%) | 23/2849 (0.8%) | 0.20 |
| Almost never | 46/1498 (3.1%) | 44/1480 (3.0%) | 25/1369 (1.8%) | 46/1498 (3.1%) | 69/2849 (2.4%) | |||
| 1–2 times per month | 5/1498 (0.3%) | 3/1480 (0.2%) | 3/1369 (0.2%) | 5/1498 (0.3%) | 6/2849 (0.2%) | |||
| 1–2 times per week | 9/1498 (0.6%) | 3/1480 (0.2%) | 6/1369 (0.4%) | 9/1498 (0.6%) | 9/2849 (0.3%) | |||
| 3–4 times per week | 13/1498 (0.9%) | 7/1480 (0.5%) | 7/1369 (0.5%) | 13/1498 (0.9%) | 14/2849 (0.5%) | |||
| Every night | 1393/1498 (93.0%) | 1385/1480 (93.6%) | 1296/1369 (94.7%) | 1393/1498 (93.0%) | 2681/2849 (94.1%) | |||
| Many times per night | 17/1498 (1.1%) | 24/1480 (1.6%) | 23/1369 (1.7%) | 17/1498 (1.1%) | 47/2849 (1.7%) | |||
| Breathing pauses during sleep | Almost never | 171/1479 (11.6%) | 137/1463 (9.4%) | 123/1357 (9.1%) | 0.06 | 171/1479 (11.6%) | 260/2820 (9.2%) | 0.011 |
| 1–2 times per month | 7/1479 (0.5%) | 6/1463 (0.4%) | 4/1357 (0.3%) | 7/1479 (0.5%) | 10/2820 (0.4%) | |||
| 1–2 times per week | 15/1479 (1.0%) | 9/1463 (0.6%) | 14/1357 (1.0%) | 15/1479 (1.0%) | 23/2820 (0.8%) | |||
| 3–4 times per week | 28/1479 (1.9%) | 16/1463 (1.1%) | 21/1357 (1.6%) | 28/1479 (1.9%) | 37/2820 (1.3%) | |||
| Every night | 1056/1479 (71.4%) | 1125/1463 (76.9%) | 1036/1357 (76.4%) | 1056/1479 (71.4%) | 2161/2820 (76.6%) | |||
| Many times per night | 202/1479 (13.7%) | 170/1463 (11.6%) | 159/1357 (11.7%) | 202/1479 (13.7%) | 329/2820 (11.7%) | |||
| Night awakenings | Almost never | 315/1477 (21.3%) | 255/1466 (17.4%) | 365/1357 (26.9%) | <0.001 | 315/1477 (21.3%) | 620/2823 (22.0%) | 0.51 |
| 1–2 times per month | 12/1477 (0.8%) | 16/1466 (1.1%) | 16/1357 (1.2%) | 12/1477 (0.8%) | 32/2823 (1.1%) | |||
| 1–2 times per week | 49/1477 (3.3%) | 35/1466 (2.4%) | 41/1357 (3.0%) | 49/1477 (3.3%) | 76/2823 (2.7%) | |||
| 3–4 times per week | 1018/1477 (68.9%) | 1074/1466 (73.3%) | 881/1357 (64.9%) | 1018/1477 (68.9%) | 1955/2823 (69.3%) | |||
| Every night | 83/1477 (5.6%) | 86/1466 (5.9%) | 54/1357 (4.0%) | 83/1477 (5.6%) | 140/2823 (5.0%) | |||
Table 5.
Sleep study parameters according to the smoking status of the participants.
| Parameter | Smoking Status | Ever Smoker | ||||||
|---|---|---|---|---|---|---|---|---|
| Never Smoker | Former Smoker | Current Smoker | p (Value) | No | Yes | p (Value) | ||
| Total sleep time (minutes) | 270.1 ± 73.0 (N = 70) | 239.3 ± 81.6 (N = 63) | 248.3 ± 82.2 (N = 70) | 0.07 | 270.1 ± 73.0 (N = 70) | 244.0 ± 81.8 (N = 133) | 0.022 | |
| % REM sleep time (%) | 25.1 ± 14.0 (N = 63) | 24.2 ± 14.5 (N = 58) | 20.8 ± 12.1 (N = 65) | 0.17 | 25.1 ± 14.0 (N = 63) | 22.4 ± 13.4 (N = 123) | 0.20 | |
| % Non-REM sleep time (%) | 74.9 ± 14.0 (N = 63) | 75.8 ± 14.5 (N = 58) | 79.2 ± 12.1 (N = 65) | 0.17 | 74.9 ± 14.0 (N = 63) | 77.6 ± 13.4 (N = 123) | 0.20 | |
| Night sleep duration (hours) | 3.18 ± 0.78 (N = 1482) | 3.15 ± 0.79 (N = 1465) | 3.12 ± 0.76 (N = 1361) | 0.06 | 3.18 ± 0.78 (N = 1482) | 3.13 ± 0.77 (N = 2826) | 0.044 | |
| Sleep latency (minutes) | 12.19 ± 1.20 (N = 1480) | 12.11 ± 1.16 (N = 1463) | 12.12 ± 1.17 (N = 1359) | 0.17 | 12.19 ± 1.20 (N = 1480) | 12.12 ± 1.16 (N = 2822) | 0.07 | |
| Nap duration (hours) | 2.86 ± 0.61 (N = 895) | 2.92 ± 0.59 (N = 975) | 2.99 ± 0.56 (N = 806) | <0.001 | 2.86 ± 0.61 (N = 895) | 2.95 ± 0.58 (N = 1781) | <0.001 | |
| AHI (events/hour) | 31.7 ± 23.6 (N = 1498) | 35.5 ± 23.8 (N = 1480) | 33.3 ± 25.4 (N = 1369) | <0.001 | 31.7 ± 23.6 (N = 1498) | 34.4 ± 24.6 (N = 2849) | <0.001 | |
| Central apneas (events/hour) | 0.7 ± 3.3 (N = 1488) | 0.7 ± 2.6 (N = 1468) | 0.5 ± 2.3 (N = 1355) | 0.05 | 0.7 ± 3.3 (N = 1488) | 0.6 ± 2.5 (N = 2823) | 0.26 | |
| Mean SaO2 (%) | 92.2 ± 3.9 (N = 1498) | 91.6 ± 3.4 (N = 1480) | 91.9 ± 3.3 (N = 1369) | <0.001 | 92.2 ± 3.9 (N = 1498) | 91.8 ± 3.4 (N = 2849) | <0.001 | |
| Minimum SaO2 (%) | 79.1 ± 9.8 (N = 1496) | 78.0 ± 9.6 (N = 1477) | 79.1 ± 9.5 (N = 1369) | 0.001 | 79.1 ± 9.8 (N = 1496) | 78.5 ± 9.6 (N = 2846) | 0.08 | |
| ODI (events/hour) | 31.0 ± 23.9 (N = 1498) | 35.1 ± 24.6 (N = 1477) | 32.7 ± 25.3 (N = 1368) | <0.001 | 31.0 ± 23.9 (N = 1498) | 33.9 ± 25.0 (N = 2845) | <0.001 | |
| Mean apnea duration (seconds) | 22.1 ± 7.8 (N = 1201) | 22.3 ± 7.1 (N = 1197) | 21.6 ± 7.5 (N = 1127) | 0.06 | 22.1 ± 7.8 (N = 1201) | 22.0 ± 7.3 (N = 2324) | 0.55 | |
| Maximum apnea duration (seconds) | 47.5 ± 24.0 (N = 985) | 50.1 ± 24.6 (N = 991) | 47.0 ± 23.0 (N = 936) | 0.009 | 47.5 ± 24.0 (N = 985) | 48.6 ± 23.9 (N = 1927) | 0.22 | |
| OSA diagnosis | Absent (AHI < 5) | 229/1498 (15.3%) | 124/1480 (8.4%) | 184/1369 (13.4%) | <0.001 | 229/1498 (15.3%) | 308/2849 (10.8%) | <0.001 |
| Mild (AHI 5–15) | 196/1498 (13.1%) | 176/1480 (11.9%) | 186/1369 (13.6%) | 196/1498 (13.1%) | 362/2849 (12.7%) | |||
| Moderate (AHI 15–30) | 371/1498 (24.8%) | 394/1480 (26.6%) | 352/1369 (25.7%) | 371/1498 (24.8%) | 746/2849 (26.2%) | |||
| Severe (AHI > 30) | 702/1498 (46.9%) | 786/1480 (53.1%) | 647/1369 (47.3%) | 702/1498 (46.9%) | 1433/2849 (50.3%) | |||
N = number, REM = rapid eye movement, AHI = apnea hypopnea index, ODI = oxygen desaturation index, OSA = obstructive sleep apnea–hypopnea syndrome.
Table 6.
Comparison of AHI and abnormal sleep behaviors according to smoking history.
| Abnormal Sleep Behavior | Never Smokers | Ever Smoker | |||
|---|---|---|---|---|---|
| AHI | p (Value) | AHI | p (Value) | ||
| Nightmares | Yes | 32.7 ± 23.6 (N = 430) | 0.31 | 34.9 ± 25.3 (N = 790) | 0.52 |
| No | 31.3 ± 23.6 (N = 1068) | 34.2 ± 24.3 (N = 2059) | |||
| Sleep talking | Yes | 36.9 ± 24.8 (N = 398) | <0.001 | 38.6 ± 25.9 (N = 877) | <0.001 |
| No | 29.8 ± 22.9 (N = 1100) | 32.6 ± 23.7 (N = 1972) | |||
| Abnormal movements during sleep | Yes | 35.4 ± 24.6 (N = 415) | <0.001 | 38.3 ± 25.9 (N = 885) | <0.001 |
| No | 30.3 ± 23.1 (N = 1083) | 32.7 ± 23.8 (N = 1964) | |||
| Restless sleep | Yes | 34.4 ± 24.3 (N = 773) | <0.001 | 36.6 ± 25.1 (N = 1683) | <0.001 |
| No | 28.9 ± 22.6 (N = 725) | 31.3 ± 23.6 (N = 1166) | |||
| Legs movements | Do not know | 24.5 ± 20.4 (N = 60) | <0.001 | 28.8 ± 24.5 (N = 112) | <0.001 |
| Never | 27.1 ± 23.6 (N = 402) | 31.0 ± 24.2 (N = 710) | |||
| Rarely | 29.5 ± 22.7 (N = 93) | 33.8 ± 23.9 (N = 196) | |||
| Sometimes | 33.6 ± 23.5 (N = 447) | 34.3 ± 22.7 (N = 732) | |||
| Usually | 34.1 ± 22.7 (N = 407) | 36.6 ± 25.3 (N = 879) | |||
| Always | 41.6 ± 27.7 (N = 72) | 41.8 ± 27.6 (N = 190) | |||
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Grigoriou, I.; Skalisti, P.; Papagiouvanni, I.; Michailidou, A.; Charalampidis, K.; Kotoulas, S.-C.; Porpodis, K.; Spyratos, D.; Pataka, A. Smoking-Induced Disturbed Sleep. A Distinct Sleep-Related Disorder Pattern? Healthcare 2023, 11, 205. https://doi.org/10.3390/healthcare11020205
AMA Style
Grigoriou I, Skalisti P, Papagiouvanni I, Michailidou A, Charalampidis K, Kotoulas S-C, Porpodis K, Spyratos D, Pataka A. Smoking-Induced Disturbed Sleep. A Distinct Sleep-Related Disorder Pattern? Healthcare. 2023; 11(2):205. https://doi.org/10.3390/healthcare11020205
Chicago/Turabian StyleGrigoriou, Ioanna, Paschalia Skalisti, Ioanna Papagiouvanni, Anastasia Michailidou, Konstantinos Charalampidis, Serafeim-Chrysovalantis Kotoulas, Konstantinos Porpodis, Dionysios Spyratos, and Athanasia Pataka. 2023. "Smoking-Induced Disturbed Sleep. A Distinct Sleep-Related Disorder Pattern?" Healthcare 11, no. 2: 205. https://doi.org/10.3390/healthcare11020205
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