Does smoking impair sleep hygiene?

O tabagismo prejudica a higiene do sono?

ABSTRACT

Background: Sleep architecture and sleep hygiene might be disrupted by several pathogenetic mechanisms, and the effect of smoking has not been evaluated. Objective: To investigate the effect of smoking on sleep hygiene behaviors that might be associated with the deterioration of quality-of-life (QoL) parameters. Methods: In a prospective cross-sectional study, smokers (n=114) and nonsmokers (n=119) were included. The Pittsburgh Sleep Quality İndex (PSQI), the Epworth Daytime Sleepiness Scale (ESS), the Sleep Hygiene Index (SHI), and the Short Form-36 quality of life scale (SF-36) were applied. Results: We found that none of the components, as well as the PSQI total score were affected in smokers compared with the nonsmoker controls (65.5% of smokers had poor sleep compared to 62.5% of nonsmokers). Although smokers tend to get out of bed at different times from day to day and do important work before bedtime (components of the SHI) more often than non-smokers, no significant differences were detected between groups in any component and SHI total score (27.91±6.72 for smokers and 29.23±8.0 for non-smokers). ESS, depression and anxiety symptoms, and SHI scores in smokers with poor sleep quality were significantly different compared with smokers that had normal sleep quality. Both PSQI and SHI scores were inversely associated with QoL parameters. Conclusions: Our results suggest that smoking by itself is not associated with poor sleep hygiene or sleep quality. It can be concluded that worse SHI and quality of sleep negatively affect QoL, depression, and anxiety in smokers.

Keywords:
Sleep Hygiene; Smoking; Sleep Wake Disorders

RESUMO

Antecedentes: A arquitetura e a higiene do sono podem ser interrompidas por vários mecanismos patogenéticos, e o efeito do tabagismo ainda não foi avaliado. Objetivo: Investigar o efeito do tabagismo nos comportamentos de higiene do sono que podem estar associados à deterioração dos parâmetros de qualidade de vida (QV). Métodos: Em um estudo transversal prospectivo, foram incluídos fumantes (n=114) e não fumantes (n=119). Foram aplicados o índice de qualidade do sono de Pittsburgh (Pittsburgh Sleep Quality İndex - PSQI), a escala de sonolência diurna de Epworth (ESS), o índice de higiene do sono (Sleep Hygiene Index - SHI) e a escala de qualidade de vida Short Form-36 (SF-36). Resultados: Descobrimos que nenhum dos componentes, assim como o escore total do PSQI, foram afetados em fumantes em comparação com os controles não fumantes (65,5% dos fumantes dormiam mal em comparação com 62,5% dos não fumantes). Embora os fumantes tendam a sair da cama em horários diferentes do dia a dia e fazer trabalhos importantes antes de dormir (componentes do SHI) com mais frequência do que os não fumantes, não foram detectadas diferenças significativas entre os grupos em qualquer componente e pontuação total do SHI (27,91±6,72 para fumantes e 29,23±8,0 para não fumantes). A ESS, os sintomas de depressão e ansiedade e os escores SHI em fumantes com má qualidade de sono foram significativamente diferentes em comparação com fumantes com qualidade de sono normal. Os escores do PSQI e SHI foram inversamente associados aos parâmetros de QV. Conclusões: Nossos resultados sugerem que o tabagismo por si só não está associado à má higiene ou qualidade do sono. Pode-se concluir que o pior SHI e a qualidade do sono afetam negativamente a QV, a depressão e a ansiedade em fumantes.

Palavras-chave:
Higiene do Sono; Fumar; Transtornos do Sono-Vigília

INTRODUCTION

The effects of smoking and related factors on sleep disturbances are not well known, although they may affect the development and course of smoking-related health outcomes. It has been suggested that smoking is a risk factor for the presence of poor sleep patterns^1,2,3. Sleep hygiene, i.e., behaviors that improve the quality and quantity of sleep, might be an important target for better sleep quality in smokers⁴. Nevertheless, there are insufficient data to show the effect of sleep hygiene on sleep quality and quality of life parameters in smokers.

We aimed to investigate the effect of smoking on sleep hygiene behaviors. Furthermore, we analyzed associations between poor sleep hygiene and sleep quality in smokers as well as the effects on quality of life parameters.

METHODS

Study population

A prospective cross-sectional study was conducted between January and June 2018 in a tertiary care hospital. A total of 114 smokers (55 males and 59 females) and 119 non-smokers (44 males and 75 females) were included in the study.

All participants completed a background questionnaire that included demographic information such as age, job, body mass index (BMI), education time, smoking status, pack/year of smoking, Fagerstrom nicotine-dependent score, alcohol use, and comorbidities; the latter was scored using the Charlson Comorbidity Index (CI). Participants who smoked <100 cigarettes in their entire life and who had quitted smoking at least two years before were classified as non-smokers, those who had smoked ≥100 cigarettes in their entire life and were currently smoking every day or some days for at least one year were classified as smokers⁵.

The exclusion criteria were age <18 years, current use of anti-depressive and hypnotic drugs, major systemic illness, malignancy, and pregnancy. Participants who had sleep disorders such as obstructive sleep apnea syndrome and restless leg syndrome were evaluated clinically using questionnaires developed for these disorders and excluded from the study.

Our study was approved by the local ethics committee and all participants gave written informed consent.

Assessments

The Fagerstrom Test for Nicotine Dependence-SLT (FTND-ST) is a 6-item questionnaire for assessing the dependence of oral tobacco use. A score of 5 or more indicates a significant dependence, while a score of 4 or less shows a low to moderate dependence⁶.

Our primary outcome was sleep hygiene changes in smokers. The Sleep Hygiene Index (SHI) is a 13-item self-administered index⁷. Participants were asked to indicate how frequently they repeat specific behaviors (always=5, frequently=4, sometimes=3, rarely=2, never=1). The total possible score ranges between 13 and 65, with higher scores indicating poorer sleep hygiene⁸.

Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). This questionnaire consists of 19 self-administered questions, divided into seven components: (PS1) subjective sleep quality; (PS2) sleep latency; (PS3) sleep duration as the ratio between time slept and time in bed, not necessarily sleeping; (PS4) habitual sleep efficiency; (PS5) sleep disturbances (presence of situations that compromise hours of sleep); (PS6) use of sleep medication; and (PS7) daytime dysfunction. The total score is determined by the sum of the 7 component scores. Each component is scored from 0 to 3. The global score (TS) ranges from 0 to 21 (≤5: good sleep quality; >5: poor sleep quality; ≥15: important sleep impairment. Smokers were categorized according to the Pittsburgh Sleep Quality Index as poor and normal sleepers^9,10.

Daytime sleepiness was evaluated with The Epworth Sleepiness Scale (ESS). It consists of 8 items that are each rated on a 4-point scale. ESS<10 corresponds to the absence of sleepiness, ESS 11-15 suggests excessive daytime sleepiness, and ESS>6 indicates severe sleepiness¹¹.

We used the Beck Depression Inventory (BDI) to evaluate depressive symptoms. The BDI consists of 21 items rated on a 4-point scale. BDI<9 indicates absence of depression or minimal depressive symptoms, 10-18 indicates slight-to-moderate depression, 19-29 indicates moderate-to-severe depression, and 30-63 indicates severe depression¹².

The Beck Anxiety Inventory (BAI) measures the intensity of anxiety symptoms. This questionnaire consists of 21 items that reflect typical somatic, emotional, and cognitive anxiety symptoms, rated on a 4-point scale from 0 to 3. The total score may vary from 0 to 63. BAI<10 indicates the absence of anxiety or minimal anxiety symptoms, 11-19 indicates slight-to-moderate anxiety, 20-30 indicates moderate-to-severe anxiety, and 31-63 indicates severe anxiety¹³.

A generic questionnaire for the assessment of QoL (SF-36) was used in this study. The SF-36 is composed of 36 items that measure eight health-related QoL domains; physical functioning (PF), social functioning (SF), role limitation due to physical problems (RP), role limitation due to emotional problems (RE), mental health (MH), energy and vitality (VT), bodily pain (BP), and general perception of health (GH). For each QoL domain tested, item scores were coded, summed, and transformed into a scale from 0 (worst) to 100 (best) using the standard SF-36 scoring algorithms. Besides that, Physical and Mental Summary Component Scale (PCS and MCS, respectively) scores were also calculated using the algorithm described by the developers¹⁴.

Statistical analysis

The data were analyzed using IBM SPSS Statistics 18^© SPSS Inc. Associations between categorical values were tested by calculating Chi-square and p values. Pearson correlation coefficients were calculated for the determination of correlations between continuous variables. Significant differences between groups for parametric continuous values were determined with Student’s t-test while Mann-Whitney U tests were used for non-parametric continuous variables. The internal reliability of questionnaires was tested by calculating Cronbach’s Alpha. The individual effects of separate questionnaire items were analyzed using ordinal logistic regression. A p<0.05 was considered significant.

RESULTS

Study population

There were no differences between the groups in terms of age, sex, BMI, alcohol use, education period, work status, and Carlson comorbidity index. The demographic variables are shown in Table 1.

Table 1.
Demographic variables of subjects.

SHI	Smokers (n=114)	Nonsmokers (n=119)	p-value*
Total	27.92±6.69	29.23±8.01	0.177
1. I take daytime naps lasting two or more hours.	1.93±0.99	1.96±0.91	0.825
2. I go to bed at different times from day to day	3.01±1.32	3.13±1.30	0.466
3. I get out of bed at different times from day to day.	2.50±1.24	2.79±1.25	0.070
4. I exercise within 1 h of going to bed	1.17±0.46	1.26±0.66	0.263
5. I stay in bed longer than I should two or three times a week.	2.17±1.11	2.27±1.16	0.495
6. I use alcohol, tobacco, or caffeine within 4 h of going to bed or after going to bed.	2.56±1.66	2.52±1.59	0.881
7. I do something that may wake me up before bedtime (for example: play video games, use the internet, or clean	2.64±1.44	2.78±1.54	0.501
8. I go to bed feeling stressed, angry, upset, or nervous.	2.04±1.06	2.03±1.13	0.944
9. I use my bed for things other than sleeping or sex (for example: watch television, read, eat, or study).	2.27±1.45	2.48±1.51	0.268
10. I sleep on an uncomfortable bed (for example poor mattress or pillow, too much or not enough blankets).	1.39±0.73	1.41±0.82	0.869
11. I sleep in an uncomfortable bedroom (for example: too bright, too stuffy, too hot, too cold, or too noisy	1.30±0.69	1.47±1.02	0.136
12. I do important work before bedtime (for example pay bills, schedule, or study)	1.89±1.10	2.15±1.22	0.084
13. I think, plan, or worry when I am in bed	3.01±1.35	3.08±1.36	0.709

• SHI: Sleep Hygiene Index. Data are expressed as mean±SD or median (range). *Student t-test or chi-square test.

Although smokers tended to get out of bed at different times from day to day and do important work before bedtime more often than non-smokers no significant differences were detected between study groups for SHI total score (27.91±6.72 for smokers and 29.23±8.0 for non-smokers) and each of the components (Table 2).

Table 2.
Sleep hygiene index results in study groups.

	Smokers (n=114)	Nonsmokers (n=119)	p-value*
Age	37.34±11.30	34.86±9.00	0.063
Sex			0.08
Female	58	76
Male	55	44
Body mass index	25.27± 4.2	24.34±3.8	0.085
Alcohol consumption
Consumer	19	44
Non-consumer	94	76
Education (years)	14.07±2.10	13.60±3.40	0.497

• *Student’s t-test or chi-square test; p<0.05 was considered significant.

None of the components as well as the total score of PSQI were significantly different between smokers and nonsmokers (Table 3).

Table 3.
Epworth Sleepiness Scale and Pittsburg Sleep Quality Index results in study groups.

	Smokers (n=114)	Nonsmokers (n=119)	p-value*
Epworth Sleepiness Scale			0.331
ESS<10	94; 82.5%	91; 76.5%
ESS>10	20; 17.5%	28; 23.5%
Total	7.19±3.92	7.39±4.01	0.331
Pittsburg Sleep Quality Index			0.786
TS<5 Good Sleep Quality	40; 35.1%	44; 37%
TS≥5 Poor Sleep Quality	74; 64.9%	75; 63%
TS Total Score	6.06±3.22	6.28±3.53	0.614
PS1 Subjective sleep quality	1.25±0.76	1.28±0.72	0.748
PS2 Sleep latency	1.28±1.12	1.39±1.05	0.424
PS3 Sleep duration	0.94±0.89	0.91±0.88	0.788
PS4 Sleep efficiency	0.29±0.65	0.35±0.73	0.548
PS5 Sleep disturbances	1.25±0.54	1.18±0.59	0.355
PS6 Use of sleep medication	0.08±0.41	0.16±0.55	0.262
PS7 Daytime dysfunction	0.98±1.11	0.93±1.01	0.750

• ESS: Epworth Sleepiness Scale; PSQI: Pittsburgh Sleep Quality Index; TS: total score of Pittsburg; Student’s t-test or chi-square test; p<0.05 was considered significant.

In addition, ESS score, depression and anxiety, mental and physical components, and all domains of QoL parameters did not differ significantly between smokers and non-smokers (Table 3).

Assessments in smokers

Poor sleep was detected in 74 smokers (65.5%). Thirty-five out of 59 females (59%) and 39 out of 55 males (70%) had poor sleep quality according to the PSQI. We did not observe significant differences between poor and normal sleepers for BMI, gender, alcohol consumption, education, and comorbidities. The Fagerstrom score (mean±SD) for smokers was 4.30±2.97 and the amount of pack/year was 17.78±4.30 while the number of cigarettes smoked daily was 18.27. Fagerstrom nicotine addiction scores did not differ among smokers when they were categorized according to their PSQI status. Also, there was no correlation between pack/year and number of cigarettes smoked daily with sleep quality. There were no associations between Fagerstrom and total SHI scores as well as SHI components. Patients were categorized according to the Fagerstrom nicotine addiction level as high and low dependence, and no significant differences were found in SHI, PSQI scores, and QoL parameters.

SHI scores were significantly associated with poor sleep quality and had a weak positive correlation with ESS (r: 0.244, p=0.00017). Ordinal regression analysis showed that none of the individual items of the SHI showed a separate prominent effect on PSQI. There was a positive correlation between total SHI scores and both depression and anxiety indexes. Besides that, the total SHI score was negatively correlated with QoL parameters (Table 4).

Table 4.
Correlation of Sleep Hygiene Index with depression and anxiety indexes and quality of life components in smokers.

	Correlation coefficient	p-value
Beck depression	0.323	>0.001
Beck anxiety	0.323	>0.001
Physical functioning	-0.138	0.035
Pain	-0.185	0.005
General health	-0.171	0.009
Vitality	-0.262	>0.001
Social functioning	-0.228	>0.001
Emotional role	-0.198	0.002
General health	-0.267	>0.001
Health change	-0.144	0.028

• Relationship between variables was evaluated with Pearson correlation. p<0.05 was considered significant.

Sleep quality correlated positively with depression and anxiety scores, while it correlated inversely with QoL (Table 5).

Table 5.
Correlation of Pittsburgh Sleep Quality Index with quality of life components in smokers.

	Correlation coefficient	p-value
Mental health	-0.381	>0.00001
Emotional role	-0.202	0.031
Social functioning	-0.369	>0.00001
Vitality	-0.348	>0.00001
General health	-0.272	0.003
Pain	-0391	>0.00001
Beck anxiety	0.350	>0.00001
Beck depression	0.325	>0.00001

• Relationship between variables was evaluated with Pearson correlation. PSQI: Pittsburgh Sleep Quality Index; QoL: quality of life. p<0.05 was considered significant.

DISCUSSION

In our study, no significant differences were detected between smokers and nonsmokers for SHI total score and each of the components. SHI did not show any association with PSQI and ESS in smokers. Our results indicate that quality of life was impaired in smokers with poor sleep quality. Furthermore, impairment in quality of life was correlated with poor sleep quality and bad sleep hygiene.

Smoking is the most common substance addiction in the community. In previous studies, sleep problems such as difficulty falling asleep, staying asleep, and daytime sleepiness were found to be more common in smokers than in non-smokers. These sleep disturbances can affect psychological and physiological functions and increase morbidity and mortality caused by smoking^1,2,3. Smoking has a potentially stimulant effect due to nicotine. Therefore, smoking makes it difficult to fall asleep especially before bedtime, and negatively affects the quality of sleep. Nicotine promotes arousal and alertness through stimulation of cholinergic neurons in the basal forebrain¹⁵. Jaehne et al. demonstrated that nicotine, whether from cigarette smoking or administration via pill or patch, is associated with impaired sleep, increased sleep onset latency, decreased total sleep time, more frequent early morning awakening, and suppression of rapid eye movement (REM) sleep and slow-wave sleep¹⁶. Moreover, not only consumption but also nicotine withdrawal would be associated with sleep disturbances leading to increased arousal¹⁷. Although there are controversial results in the literature, smoking has been linked to impaired sleep quality in many studies^2,18. Our results indicate a higher rate of poor sleep quality in smokers, but smoking is not associated with worsened sleep quality or daytime sleepiness.

Sleep hygiene is defined as behaviors that facilitate sleep and avoidance of behaviors that have a negative effect on sleep. Poor sleep hygiene generally causes impairment in daily living activities due to a decrease in sleep quality and lack of daytime alertness. Sleep hygiene education can be a key strategy for improving sleep. Future research has the potential to expand sleep hygiene utility and evaluate its effectiveness^8,19. Although studies emphasizing the importance of sleep hygiene have increased recently, there are few studies evaluating sleep hygiene in specific groups.

Smoking can have a serious effect on sleep hygiene both through direct effects of stimulants such as nicotine and caffeine on sleep and through indirect effects such as the disruption of sleep hygiene by smoking and the delay of bedtime. Therefore, avoiding nicotine use to improve sleep seems reasonable. However, if a nicotine-dependent individual is encouraged to quit smoking to get better sleep, the negative effects of nicotine withdrawal on sleep should not be ignored¹⁹. As far as we know, there is no study showing the relationship between smoking and sleep hygiene.

Besides that, the effect of sleep hygiene on sleep quality and quality of life of smokers has not been shown previously. In the present study, smoking was not associated with sleep hygiene behaviors assessed by a validated questionnaire. It seems that smoking per se has no effect on sleep hygiene, or these results come from questionnaires that included stimulant substances such as cigarettes and tea or coffee in the same query. In a country where the habit of drinking tea/coffee at night is very strong, the effect of smoking on the same parameter could be masked or underestimated, and deterioration in sleep hygiene may not be detected with the standardized questionnaire. Other scales such as the Sleep Awake and Practice Scale (SHAP)²⁰ or the Sleep Hygiene Self Test (SHST)²¹ can discriminate the effect of nicotine in separate questions. However, the SHI is the only validated questionnaire developed on the basis of diagnostic criteria for inadequate sleep hygiene described in the International Classification of Sleep Disorders. In fact, we found that poor sleep hygiene was correlated with poor sleep quality in smokers, similar to previous studies^8,22,23. We showed the potential effect of poor sleep hygiene on sleep quality in a small population of smokers. Therefore, we concluded that more detailed validated tests are needed to evaluate sleep hygiene in smokers.

The relationship between nicotine addiction and/or the number of cigarettes smoked daily with sleep quality has been evaluated in previous studies. Palmer et al. found decreased mean sleep time in heavy smokers²⁴. Cohrs et al. found that a higher degree of nicotine addiction and number of cigarettes smoked per day were associated with difficulty falling asleep and short sleep duration. In addition, as the number of pack-years increased, sleep duration was shortened and sleep disturbances increased, but its effect on sleep hygiene is unknown^25,26. Indeed, we found no relationship between nicotine addiction and the number of cigarettes smoked daily with sleep hygiene as well as sleep quality.

It has been shown that smoking negatively affects many parameters of quality of life^27,28. In limited data from Japanese studies, no difference was detected in quality of life scores between smokers and non-smokers. They argued that smokers in Japan may be less sensitive to sub-clinical deterioration of their health status than smokers in Western countries^29,30,31. More comprehensive studies including different cohorts are needed to clarify associations between smoking and QoL, for which no data are available in the Turkish population so far. In our study, no statistically significant difference was found in QoL parameters between smokers and non-smokers. Smoking by itself was not associated with worse QoL in the Turkish population. To the best of our knowledge, there is no study in the literature showing the relationship between QoL and sleep hygiene in smokers. Furthermore, we showed an association between quality of life and sleep hygiene parameters in smokers with poor sleep quality. It can be concluded that sleep hygiene would be an important target for smokers with poor sleep quality.

Our study has some limitations. First, questionnaires evaluating sleep quality are self-reported. The gold standard diagnostic method for sleep disorder is polysomnography and sleep quality can be evaluated through interviews but neither method could not be used because of costs^32,33. However, participants who have sleep disorders such as obstructive sleep apnea syndrome and restless leg syndrome were evaluated clinically using questionnaires developed for these disorders and excluded from the study. As another limitation, the fact that other stimuli such as nicotine, tea, and coffee were not used as separate parameters in our validated questionnaire may affect our results.

To the best of our knowledge, there is no study of the effects of smoking on sleep hygiene. Although our data have shown that smoking has no specific effect on sleep hygiene and sleep quality, further prospective studies with objective tests are needed because of the observed negative effects of nicotine on sleep architecture.

ACKNOWLEDGMENT

We acknowledge Ozan Tiryakioglu, who passed away while preparing the article, for statistical analysis.

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Publication Dates

• Publication in this collection
  29 Nov 2021
• Date of issue
  Dec 2021

History

• Received
  08 Dec 2020
• Reviewed
  07 Jan 2021
• Accepted
  17 Jan 2021