The influence of active and passive smoking on habitual snoring

Sleep apnea test prediction based on Electronic Health Records

The identification of Obstructive Sleep Apnea (OSA) is done by a Polysomnography test which is often done in later ages. Being able to notify potential insured members at earlier ages is desirable. For that, we develop predictive models that rely on Electronic Health Records (EHR) and predict whether a person will go through a sleep apnea test after the age of 50. A major challenge is the variability in EHR records in various insured members over the years, which this study investigates as well in the context of controls matching, and prediction. Since there are many temporal variables, the RankLi method was introduced for temporal variable selection. This approach employs the t-test to calculate a divergence score for each temporal variable between the target classes. We also investigate here the need to consider the number of EHR records, as part of control matching, and whether modeling separately for subgroups according to the number of EHR records is more effective. For each prediction task, we trained 4 different classifiers including 1-CNN, LSTM, Random Forest, and Logistic Regression, on data until the age of 40 or 50, and on several numbers of temporal variables. Using the number of EHR records for control matching was found crucial, and using learning models for subsets of the population according to the number of EHR records they have was found more effective. The deep learning models, particularly the 1-CNN, achieved the highest balanced accuracy and AUC scores in both male and female groups. In the male group, the highest results were also observed at age 50 with 100 temporal variables, resulting in a balanced accuracy of 90% and an AUC of 93%.

Sex-specific associations between habitual snoring and cancer prevalence: insights from a US Cohort Study

Study Objectives

To investigate the sex-specific association between habitual snoring and overall cancer prevalence and subtypes, and to examine the influence of age, body mass index (BMI), and sleep duration on this association.

Methods

This study utilized data from the National Health and Nutrition Examination Survey cycles between 2005 and 2020 and included 15 892 participants aged 18 and over. We employed inverse probability of treatment weighting based on propensity scores to adjust for confounders when comparing the prevalence of cancer between habitual snorers and non-habitual snorers for each sex and cancer type. Subgroup analyses were conducted based on sleep duration, age, and BMI categories.

Results

The cohort (mean age 48.2 years, 50.4% female, and 30.5% habitual snorers) reported 1385 cancer cases. In men, habitual snoring was linked to 26% lower odds of any cancer (OR 0.74, 95% CI: 0.66 to 0.83), while in women, it showed no significant difference except lower odds of breast cancer (OR 0.77, 95% CI: 0.63 to 0.94) and higher odds of cervix cancer (OR 1.54, 95% CI: 1.18 to 2.01). Age and sleep duration significantly influenced the snoring-cancer relationship, with notable variations by cancer type and sex.

Conclusions

Habitual snoring exhibits sex-specific associations with cancer prevalence, showing lower prevalence in men and varied results in women. These findings emphasize the critical need for further research to uncover the biological mechanisms involved. Future investigations should consider integrating sleep characteristics with cancer prevention and screening strategies, focusing on longitudinal research and the integration of genetic and biomarker analyses to fully understand these complex relationships.

Regular snoring is associated with uncontrolled hypertension

Snoring may be a risk factor for cardiovascular disease independent of other co-morbidities. However, most prior studies have relied on subjective, self-report, snoring evaluation. This study assessed snoring prevalence objectively over multiple months using in-home monitoring technology, and its association with hypertension prevalence. In this study, 12,287 participants were monitored nightly for approximately six months using under-the-mattress sensor technology to estimate the average percentage of sleep time spent snoring per night and the estimated apnea-hypopnea index (eAHI). Blood pressure cuff measurements from multiple daytime assessments were averaged to define uncontrolled hypertension based on mean systolic blood pressure≥140 mmHg and/or a mean diastolic blood pressure ≥90 mmHg. Associations between snoring and uncontrolled hypertension were examined using logistic regressions controlled for age, body mass index, sex, and eAHI. Participants were middle-aged (mean ± SD; 50 ± 12 y) and most were male (88%). There were 2467 cases (20%) with uncontrolled hypertension. Approximately 29, 14 and 7% of the study population snored for an average of >10, 20, and 30% per night, respectively. A higher proportion of time spent snoring (75th vs. 5th; 12% vs. 0.04%) was associated with a ~1.9-fold increase (OR [95%CI]; 1.87 [1.63, 2.15]) in uncontrolled hypertension independent of sleep apnea. Multi-night objective snoring assessments and repeat daytime blood pressure recordings in a large global consumer sample, indicate that snoring is common and positively associated with hypertension. These findings highlight the potential clinical utility of simple, objective, and noninvasive methods to detect snoring and its potential adverse health consequences.

Gastroesophageal reflux and snoring are related to asthma and respiratory symptoms: Results from a Nordic longitudinal population survey

AIM

To study if individuals with nocturnal gastroesophageal reflux (nGER) and habitual snoring are more likely to develop asthma and respiratory symptoms (i.e. wheeze, cough, chest tightness, breathlessness) than those without these conditions, and if these associations are additive.

METHODS

We used data from the population-based prospective questionnaire study Respiratory Health in Northern Europe (RHINE) (11,024 participants), with data from 1999 and 2011. Participants with heartburn or belching after going to bed, at least 1 night/week, were considered to have nGER. Participants reporting loud snoring at least 3 nights/week were considered to have habitual snoring. Participants were grouped into four groups by their nGER and snoring status: "never"; "former"; "incident"; "persistent". Incident respiratory symptoms were analyzed among participants without respective symptom at baseline.

RESULTS

Snoring and nGER were independently associated with incident asthma and respiratory symptoms. The risk of incident wheeze was increased in subjects with incident or persistent snoring (adjusted odds ratio (95 % CI): 1.44 (1.21-1.72)), nGER (2.18 (1.60-2.98)) and in those with both snoring and nGER (2.59 (1.83-3.65)). The risk of developing asthma was increased in subjects with incident or persistent snoring (1.44 (1.15-1.82)), nGER (1.99 (1.35-2.93)) and in those with both snoring and nGER (1.72 (1.06-2.77)). No significant interaction was found between snoring and nGER. A similar pattern was found for the incidence of all other respiratory symptoms studied, with the highest risk among those with both incident or persistent nGER and snoring.

CONCLUSION

The risk of developing asthma and respiratory symptoms is increased among subjects with nGER and habitual snoring. These associations are independent of each other and confounding factors. Snoring and nGER together are additive on respiratory symptoms.

Obstructive Sleep Apnea and Smoking Increase the Risk of Cardiovascular Disease: Smoking Cessation Pharmacotherapy

Tobacco smoking has been a recognized risk factor for cardiovascular diseases (CVD). Smoking is a chronic relapsing disease and pharmacotherapy is a main component of smoking cessation. Obstructive sleep apnea (OSA) and smoking both increase the risk of CVD and are associated with significant morbidity and mortality. There are few existing data examining how pharmacological treatment, such as nicotine replacement therapy (NRT), bupropion, and varenicline, affect smokers suffering with OSA and especially their cardiovascular effects. The aim of this review was to evaluate the effects of smoking cessation pharmacotherapy on OSA with a special emphasis on the cardiovascular system. Results: Only small studies have assessed the effect of NRTs on OSA. Nicotine gum administration showed an improvement in respiratory events but with no permanent results. No specific studies were found on the effect of bupropion on OSA, and a limited number evaluated varenicline's effects on sleep and specifically OSA. Varenicline administration in smokers suffering from OSA reduced the obstructive respiratory events, especially during REM. Studies on second-line medication (nortriptyline, clonidine, cytisine) are even more limited. There are still no studies evaluating the cardiovascular effects of smoking cessation medications on OSA patients. Conclusions: Sleep disturbances are common withdrawal effects during smoking cessation but could be also attributed to pharmacotherapy. Smokers should receive personalized treatment during their quitting attempts according to their individual needs and problems, including OSA. Future studies are needed in order to evaluate the efficacy and safety of smoking cessation medications in OSA patients.

Association of dual use of cigarettes with obstructive sleep apnea assessed by the STOP-Bang score

INTRODUCTION

Although previous studies have addressed the association between smoking and obstructive sleep apnea (OSA), there are few studies on the association between electronic cigarette use and OSA. Thus, we aimed to evaluate the association between the dual use of electronic and conventional cigarettes and OSA.

METHODS

Data from 7350 participants of the 2019-2021 Korean National Health and Nutrition Examination Survey were analyzed in this population-based study. The STOP-Bang score was calculated using eight items: snoring, tiredness, observed apnea, high blood pressure, body mass index, age, neck circumference, and sex. The main independent variable was smoking behavior. A multiple logistic regression analysis was performed. Subgroup analysis was conducted to analyze the association between smoking behavior in detail and OSA, and stratified analyses were additionally performed.

RESULTS

Of the 7350 participants, 417 (5.7%) had a high risk of OSA, according to the STOP-Bang score. Compared to the non-smoker group, the dual user group had a 2.46-fold increase in the odds of OSA (adjusted odds ratio, AOR = 2.45; 95% CI: 1.04-5.79). Current non-smokers who were dual users in the past had increased odds of having OSA (AOR=3.61; 95% CI: 1.32-9.92). In the stratified analyses, dual cigarette use was significantly associated with OSA in females and those with a low physical activity level.

CONCLUSIONS

Dual users and cigarette-only users had an increased probability of developing OSA. Even if they are not currently smoking or vaping, individuals who were dual users in the past were associated with a higher risk of OSA. The association between dual cigarette use and OSA was more pronounced in females and those with a low physical activity level. While intervening for obstructive sleep apnea or investigating risk factors, new smoking methods such as vaping and dual use should be considered along with conventional smoking.

Smoking-Induced Disturbed Sleep. A Distinct Sleep-Related Disorder Pattern?

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.

A Prediction Nomogram for Severe Obstructive Sleep Apnea in Snoring Patients: A Retrospective Study

Purpose

Snoring patients, as a high-risk group for OSA, are prone to the combination of severe OSA and face serious health threats. The aim of our study was to develop and validate a nomogram to predict the occurrence of severe OSA in snorers, in order to improve the diagnosis rate and treatment rate in this population.

Patients and Methods

A training cohort of 464 snoring patients treated at our institution from May 2021 to October 2022 was divided into severe OSA and non-severe OSA groups. Univariate and multivariate logistic regression were used to identify potential predictors of severe OSA, and a nomogram model was constructed. An external hospital cohort of 210 patients was utilized as an external validation cohort to test the model. Area under the receiver operating characteristic curve, calibration curve, and decision curve analyses were used to assess the discriminatory power, calibration, and clinical utility of the nomogram, respectively.

Results

Multivariate logistic regression demonstrated that body mass index, Epworth Sleepiness Scale total score, smoking history, morning dry mouth, dream recall, and hypertension were independent predictors of severe OSA. The area under the curve (AUC) of the nomogram constructed from the above six factors is 0.820 (95% CI: 0.782-0.857). The Hosmer-Lemeshow test showed that the model had a good fit (P = 0.972). Both the calibration curve and decision curve of the nomogram demonstrated the corresponding dominance. Moreover, external validation further confirmed the reliability of the predicted nomograms (AUC=0.805, 95% CI: 0.748-0.862).

Conclusion

A nomogram predicting the occurrence of severe OSA in snoring patients was constructed and validated with external data for the first time, and the findings all confirmed the validity of the model. This may help to improve existing clinical decision making, especially at institutions that do not yet have devices for diagnosing OSA.

Associations among Alcohol Drinking, Smoking, and Nonrestorative Sleep: A Population-Based Study in Japan

Nonrestorative sleep (NRS) is a common sleep disorder. It is associated with several unhealthy lifestyle factors, such as skipping breakfast and lack of exercise. However, the associations between alcohol drinking, smoking, and NRS are unclear. This study examined the prevalence of NRS within the Japanese general population and the relationships among alcohol drinking, smoking, and NRS. We analyzed an anonymized dataset from a 2013 nationwide population survey (35,717 men and 39,911 women). NRS was assessed through a single-item question, and socio-demographic and lifestyle factors were assessed through self-reports. Multivariable logistic regression analyses were used to examine the associations between alcohol drinking, smoking, and NRS. The total prevalence of NRS was 22.2% (95% CI 21.8-22.7) in men and 23.4% (95% CI 23.0-23.8) in women. Further, we found that sleep duration and prevalence of NRS shared an inverse J-shaped relationship. Heavy alcohol drinking was significantly associated with NRS in both sexes. Short sleep duration and certain socioeconomic factors modified the effect of smoking on NRS in men. These results could be useful in the development of more effective sleep health policies to establish better sleep hygiene.

Does Smoking Affect OSA? What about Smoking Cessation?

The connection between smoking and Obstructive sleep apnea (OSA) is not yet clear. There are studies that have confirmed the effect of smoking on sleep disordered breathing, whereas others did not. Nicotine affects sleep, as smokers have prolonged total sleep and REM latency, reduced sleep efficiency, total sleep time, and slow wave sleep. Smoking cessation has been related with impaired sleep. The health consequences of cigarette smoking are well documented, but the effect of smoking cessation on OSA has not been extensively studied. Smoking cessation should improve OSA as upper airway oedema may reduce, but there is limited data to support this hypothesis. The impact of smoking cessation pharmacotherapy on OSA has been studied, especially for nicotine replacement therapy (NRT). However, there are limited data on other smoking cessation medications as bupropion, varenicline, nortriptyline, clonidine, and cytisine. The aim of this review was to explore the current evidence on the association between smoking and OSA, to evaluate if smoking cessation affects OSA, and to investigate the possible effects of different pharmacologic strategies offered for smoking cessation on OSA.

What is the association between secondhand smoke (SHS) and possible obstructive sleep apnea: a meta-analysis

BACKGROUND

Association between smoking and sleep apnea is well-known from previous studies. However, the influence of secondhand smoke (SHS), which is a potential risk factor of obstructive sleep apnea (OSA), remains unclear. Our aim was to investigate the relationship between SHS and OSA using a meta-analysis.

MATERIALS AND METHODS

For the meta-analysis, searches were performed in MEDLINE, EMBASE, and Web of Science databases on January 10, 2022, by combining various keywords including "SHS exposure" and "OSA". Data were extracted using defined inclusion and exclusion criteria. Fixed-effects model meta-analyses were used to pool risk ratio (RR) estimates with their 95% confidence intervals (CI). I² was used to assess heterogeneity. Moreover, we performed subgroup meta-analyses of children-adults, and smoker fathers and mothers.

RESULTS

In total, 267 articles were obtained through an electronic search. Twenty-six articles were included in our analysis according to the inclusion and exclusion criteria. We found evidence of an association between SHS exposure and possible OSA (RR 1.64, 95% CI 1.44-1.88). The results of the subgroup analyses showed that children passive smokers (RR 1.84, 95% CI 1.60-2.13) were at greater risks of possible OSA than adult passive smokers (RR 1.35, 95% CI 1.21-1.50). Also, significant differences were observed in mothers with smoking exposure (RR 2.61, 95% CI 1.62-4.21, p < 0.0001), as well as in fathers with smoking exposure (RR 2.15, 95% CI 0.98-4.72, p = 0.06).

SHORT CONCLUSION

Our meta-analysis confirmed that SHS exposure is significantly associated with OSA. In the subgroup analyses, the association of SHS and possible OSA was significant in both children and adults, as well as in smoker mothers and fathers.

Secondhand smoke is associated with poor sleep quality in self-reported never-smokers of Northwest China: a cross-sectional study

OBJECTIVE

To investigate the relationship between secondhand smoke (SHS) exposure and sleep quality in never-smokers of Northwest China.

METHODS

Never-smoking adults (≥ 15 years) from Xinjiang, Northwest China, were included in this cross-sectional survey between April and October 2019. SHS exposure in never-smokers was estimated using a structured questionnaire. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI), with PSQI score > 5 classified as poor sleep quality. Association of SHS exposure and frequency and duration of SHS exposure with poor sleep quality were analyzed by using a multivariate logistic regression after adjusting for potential confounding factors, including stratification by sex.

RESULTS

The mean age of participants was 48.0 years, and 77% were females. Of 21,198 never-smokers, 13% (n = 2703) reported SHS exposure and 35% (n = 7390) reported poor sleep quality. In multivariate logistic regression analysis, a significant association was observed between SHS exposure and poor sleep quality (adjusted odds ratio (OR), 1.36; 95% confidence interval (CI) 1.24-1.48). Subgroup analysis showed a negative association of SHS exposure with sleep quality in both sexes. However, a significant dose-response relationship of frequency and duration of SHS exposure per week with poor sleep quality was observed only in females. Consistent results were also observed in the aged ≥ 18 years.

CONCLUSION

Exposure to SHS is associated with poor sleep quality in never-smoking adults of Northwest China. A dose-response relationship between SHS exposure and poor sleep quality is found in women. Avoiding SHS exposure may have beneficial effects on sleep quality, especially for females.

Smoking and Obstructive Sleep Apnea: Is There An Association between These Cardiometabolic Risk Factors?-Gender Analysis

Background and Objectives: Studies have tried to establish a relationship between Obstructive Sleep Apnea syndrome (OSA) and smoking but data still remain controversial. We aimed: 1. To evaluate the relationship between smoking and OSA; 2. To explore potential differences according to gender, and 3. To analyze the prevalence of cardiovascular disease (CVD) co-morbidities according to gender and smoking status. Materials and Methods: This retrospective study included 3791 (70.6% males) adult patients who visited a Sleep Clinic. All participants underwent nocturnal polysomnography. Daytime somnolence and insomnia were assessed by using the Epworth Sleepiness Scale (ESS) and the Athens Insomnia Scale (AIS). Ever-smokers completed the Fagerstrom Test for Nicotine Dependence (FTND). Results: OSA was confirmed in 72.1% of participants with 62.2% suffering from moderate-to-severe disease. The number of cigarettes/day, Pack/Years, and FTND were significantly higher in patients with more severe OSA. The prevalence of current smokers was higher in those without OSA or with mild disease, whereas the prevalence of former smokers was higher in moderate and severe OSA. In univariate analysis, current smokers were found to be 1.2 times more likely to have OSA compared with never and former smokers combined and former smokers 1.49 times more likely compared with never smokers. In the multiple regression analysis, after adjusting for BMI, gender, age and number of alcoholic drinks per week, smoking was not found to be significantly associated with OSA. In gender stratified multivariate analyses, no significant associations were observed. CVD co-morbidities were more frequent in more severe OSA. Hypertension, coronary disease and diabetes were more prevalent in former smokers with AHI ≥ 15, compared with current smokers, especially in men. Conclusions: Even if an independent effect of smoking on OSA was not found, the number of cigarettes/day, Pack/Years, and FTND were higher in patients with more severe OSA with more prevalent CVD co-morbidities.

Snoring and environmental exposure: results from the Swedish GA2LEN study

OBJECTIVE

Habitual snoring is associated with fatigue, headaches and low work performance. This cross-sectional study aimed to investigate if snoring is affected by environmental factors such as home dampness and exposure to air pollution.

SETTING

General population sample from four Swedish cities.

PARTICIPANTS

25 848 participants from the Swedish part of the epidemiological Global Asthma and Allergy and European network of excellence study carried out in 2008. The participants completed a postal questionnaire on snoring and, indoor and outdoor environmental exposure as well as potential confounders including smoking, weight, height and educational level.

RESULTS

Of the participants, 4211 (16.3%) were habitual snorers. Habitual snorers reported water damage (8.3% vs 7.0% p<0.0001), floor dampness (4.6% vs 3.8% % p<0.0001) and visible mould (5.2% vs 3.8% p<0.0001) in their homes more often than non-snorers. Habitual snorers stated being annoyed by air pollution more often than non-snorers with habitual snorers reporting being irritated with the air in their residential area to a higher extent (sometimes 16.2% vs 13.9%, and daily 4.6% vs 3.1%) as well as annoyance from traffic fumes (somewhat 19% vs 18.5% and very 5% vs 3.6%) (p<0.0001). These results remained significant after adjustment for age, body mass index, smoking history and educational level.

CONCLUSION

Snoring is more prevalent in subjects reporting home dampness and air pollution. These association should be confirmed in further research using objective measurements and a longitudinal approach.

Association between self-reported snoring and hypertension among Chinese Han population aged 30-79 in Chongqing, China

Background

We aim to explore the association between self-reported snoring and hypertension among adults aged 30–79 in Chongqing, China.

Methods

A total of 23,342 individuals aged 30–79 were included at baseline from August 2018 to January 2019, and the final sample size for the analysis was 22,423. Face-to-face interviews and physical examinations were conducted by trained investigators. Logistic regression was performed to study age-specific and gender-specific associations between snoring and hypertension.

Results

Frequent snoring was associated with the risk of hypertension for each age and gender group, and the frequency of snoring was positively correlated with the risk for hypertension. For the three age groups (< 45, 45–59, ≥ 60), compared with the non-snoring group, those who snore often had a 64.5%, 53.3%, and 24.5% increased risk of hypertension (< 45: OR = 1.65, 95%CI 1.34–2.02; 45–59: OR = 1.53, 95%CI 1.37–1.72; ≥ 60: OR = 1.25, 95%CI 1.09–1.42), respectively. For men and women, those who snore often had a 46.8% and 97.2% increased risk of hypertension, respectively, than the non-snoring group (men: OR = 1.47, 95%CI 1.33–1.63; women: OR = 1.97, 95%CI 1.75–2.23).

Conclusions

People who snore frequently should pay close attention to their blood pressure levels in order to achieve early prevention of hypertension, particularly for snorers who are female and aged under 45; importance should be attached to their blood pressure control.

Effects of smokıng on patıents wıth obstructıve sleep apnea syndrome

OBJECTIVES

We aimed to investigate the relationship between the presence and severity of obstructive sleep apnea (OSAS) and smoking using pulmonary function tests and polysomnographic data.

MATERIALS AND METHODS

This analytical cross-sectional study was done by retrospectively examining the files of patients who applied to the Meram Medical Faculty Chest Diseases Sleep Laboratory between 07.01.2016 and 30.12.2018. Three-hundred and thirty-three patients who were diagnosed with OSAS or simple snoring by polysomnography (PSG) were included in the study.

RESULTS

Those involved in the study; 17.1% were simple snoring [apnea-hypopnea index (AHI) < 5]; 15.3% were mild OSAS (AHI: 5-15); 30.6% were moderate OSAS (AHI: 16-30); 36.9% were severe OSAS (AHI > 30), and 48.6% of the study participants never smoked. There was a significant correlation between the number of pack-years, minimum O₂ saturation, mean O₂ saturation, ratio of sleep time to total sleep time with oxygen saturation below 90%, %NREM 3 sleep time, Hb, HTC values, and FEV1/FVC values. According to the results of multiple linear regression analysis; the effect of package-year, age, and BMI on OSAS severity was found to be statistically significant (β = 0.153 P = 0.004, β = 0.123 P = 0.025, β = 0.208 P < 0.001, respectively).

CONCLUSION

It was revealed that patients with severe OSAS were heavy smokers, and increased smoking increased the OSAS severity both by increasing the AHI and by reducing the oxygen saturation overnight. One unit increase in the package-year results in a 15.3% increase in the AHI.

Dampness and mold at home and at work and onset of insomnia symptoms, snoring and excessive daytime sleepiness

AIM

To investigate whether exposure to dampness and mold at home and at work induce sleep disturbances and daytime sleepiness among adults.

MATERIALS AND METHODS

Associations between onset of sleep disturbances and dampness, mold and mold odor at home and at work were investigated in a cohort of 11,318 adults from the population in Iceland, Norway, Sweden, Denmark and Estonia. The participants answered a questionnaire at baseline and 10 years later, with questions on sleep disturbances, including difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), early morning awakening (EMA), insomnia symptoms, snoring and excessive daytime sleepiness (EDS). Multiple logistic regression models were applied to estimate associations adjusting for potential confounders including gender, age, smoking habit at baseline, change of smoking habit from baseline to follow up, BMI at baseline, change of BMI from baseline to follow up, education level at follow up, allergic rhinitis at baseline, doctor diagnosed asthma at baseline and chronic bronchitis at baseline.

RESULTS

Baseline floor dampness, visible mold and mold odor at home increased onset of DIS, DMS, EMA, insomnia symptoms and snoring during follow up (OR 1.29-1.87). Any sign of dampness at baseline increased onset of DIS (OR 1.28, 95%CI 1.06-1.55), DMS (OR 1.17, 95%CI 1.02-1.34) and insomnia symptoms (OR 1.18, 95%CI 1.03-1.36). Dampness at home during follow up increased onset of DIS, DMS, EMA, insomnia symptoms and EDS (OR 1.17-1.36). Dampness at work during follow up increased onset of DIS, EMA, insomnia symptoms and EDS (OR 1.16-1.34). Combined dampness at home and at work during follow up increased the risk of onset of DIS, DMS, EMA, insomnia symptoms and EDS (OR 1.29-1.74).

CONCLUSIONS

Dampness and mold at home and at work can increase the development of insomnia symptoms, snoring and EDS among adults.

Insights into the aetiology of snoring from observational and genetic investigations in the UK Biobank

Although snoring is common in the general population, its aetiology has been largely understudied. Here we report a genetic study on snoring (n ~ 408,000; snorers ~ 152,000) using data from the UK Biobank. We identify 42 genome-wide significant loci, with an SNP-based heritability estimate of ~10% on the liability scale. Genetic correlations with body mass index, alcohol intake, smoking, schizophrenia, anorexia nervosa and neuroticism are observed. Gene-based associations identify 173 genes, including DLEU7, MSRB3 and POC5, highlighting genes expressed in the brain, cerebellum, lungs, blood and oesophagus. We use polygenic scores (PGS) to predict recent snoring and probable obstructive sleep apnoea (OSA) in an independent Australian sample (n ~ 8000). Mendelian randomization analyses suggest a potential causal relationship between high BMI and snoring. Altogether, our results uncover insights into the aetiology of snoring as a complex sleep-related trait and its role in health and disease beyond it being a cardinal symptom of OSA.

Snoring is common in the population and tends to be more prevalent in older and/or male individuals. Here, the authors perform GWAS for habitual snoring, identify 41 genomic loci and explore potential causal relationships with anthropometric and cardiometabolic disease traits.

Asthma and treatment with inhaled corticosteroids: associations with hospitalisations with pneumonia

BACKGROUND

Pneumonia is an important cause of morbidity and mortality. COPD patients using inhaled corticosteroids (ICS) have an increased risk of pneumonia, but less is known about whether ICS treatment in asthma also increases the risk of pneumonia. The aim of this analysis was to examine risk factors for hospitalisations with pneumonia in a general population sample with special emphasis on asthma and the use of ICS in asthmatics.

METHODS

In 1999 to 2000, 7340 subjects aged 28 to 54 years from three Swedish centres completed a brief health questionnaire. This was linked to information on hospitalisations with pneumonia from 2000 to 2010 and treatment with ICS from 2005 to 2010 held within the Swedish National Patient Register and the Swedish Prescribed Drug Register.

RESULTS

Participants with asthma (n = 587) were more likely to be hospitalised with pneumonia than participants without asthma (Hazard Ratio (HR 3.35 (1.97-5.02)). Other risk factors for pneumonia were smoking (HR 1.93 (1.22-3.06)), BMI < 20 kg/m2 (HR 2.74 (1.41-5.36)) or BMI > 30 kg/m2 (HR 2.54 (1.39-4.67)). Asthmatics (n = 586) taking continuous treatment with fluticasone propionate were at an increased risk of being hospitalized with pneumonia (incidence risk ratio (IRR) 7.92 (2.32-27.0) compared to asthmatics that had not used fluticasone propionate, whereas no significant association was found with the use of budesonide (IRR 1.23 (0.36-4.20)).

CONCLUSION

Having asthma is associated with a three times higher risk of being hospitalised for pneumonia. This analysis also indicates that there are intraclass differences between ICS compounds with respect to pneumonia risk, with an increased risk of pneumonia related to fluticasone propionate.

Change in the prevalence asthma, rhinitis and respiratory symptom over a 20 year period: associations to year of birth, life style and sleep related symptoms

Background

The aim of this investigation was to study change in adults over a 20 year period in the prevalence of respiratory symptoms and disorders and its association to year of birth, life style and sleep related variables.

Method

Adults 20–44 years of age, 6085 women and 5184 men, were randomly selected from seven centres in Northern Europe and followed for 20 years. The number of participants in the first survey was 21,595 and 11,269 participated in all three surveys. The participants were divided into three birth cohorts: 1944–1955, 1956–1965 and 1966–1975.

Results

During the 20 year period the prevalence of wheeze decreased (− 2%) and the prevalence of asthma (+ 4%) and allergic rhinitis (+ 5%) increased, whereas the prevalence of nocturnal respiratory symptoms was relatively unchanged. The increase in allergic rhinitis was largest in those born 1966 to 1975 except in Estonia. There was large decrease in smoking (− 20%), increase in obesity (+ 7%) and snoring (+ 6%) during the study period. Smoking, obesity, snoring and nocturnal gastroesophageal reflux (nGER) were related to a higher risk of all symptoms. Obesity, snoring and nGER were also independently related to asthma.

Conclusion

We conclude that as our participants got older there was a decrease in wheeze, no change in nocturnal symptoms and an increase in reported asthma and allergic rhinitis. These changes in prevalence are probably related to a decrease in smoking being counteracted by an increase in allergy, obesity and sleep related disorders.

The symptoms and risk of sleep apnea among adults in the United Arab Emirates

INTRODUCTION:

Recently, sleeping disorders and snoring are being recognized as a public health concern with various risk factors and health consequences. The main objective of the present study was to determine the prevalence of snoring and sleep apnea among adults (20–60 years) in Sharjah (United Arab Emirates, UAE) and assess the major risk factors as well as the general knowledge among the population.

METHODS:

A self-administrated Questionnaire of five sections including both Berlin questionnaire (BQ) and the Epworth Sleepiness Scales (ESS) were given to a randomly selected population in Sharjah between the ages of 20–60 years. Data were analyzed using SPSS software version 22.0.

RESULTS:

Nearly 34.2% of the study population reported to be snorers, and 43.2% of snorers were at high risk of sleep apnea based on the BQ. Gender was significantly associated with snoring (P = 0.038), as 40.8% of males reported snoring compared to 28.7% of females. Elderlies (50–60 years) were at a higher risk, and obesity (body mass index >30) was considered to be a powerful risk factor as 46.8% of the obese participants reported snoring. Those who scored higher on the ESS were more likely to be snorers (P = 0.001) and were likely to fall into the high-risk category in the BQ (P = 0.007). In addition, smoking (P = 0.005), hypertension (P = 0.005), and nasal septal deviation (P = 0.024) were also considered as risk factors.

CONCLUSION:

Prevalence and major risk factors within the UAE are similar to those in other countries. Sleeping disorders and snoring campaigns and management facilities should be considered to raise the awareness about these issues and manage their risk factors.

Smoking and Improvement after Nasal Surgery in Snoring Men

Background

The aim of this study was to compare subgroups of smokers and nonsmokers undergoing nasal surgery and to evaluate improvement of nasal stuffiness, snoring, and symptoms related to sleep-disordered breathing after nasal surgery.

Methods

A cross-sectional prospective study was performed. The study population included 40 consecutive snoring men scheduled for surgical treatment of nasal obstruction. The patients completed nasal and sleep questionnaires, an Epworth sleepiness scale, and a visual analog scale of snoring intensity. They underwent polysomnography, anterior rhinomanometry, acoustic rhinometry, and cephalometric analysis.

Results

The smokers were younger, they snored longer and louder, and they had higher nasal resistance with decongestion and longer soft palates than the nonsmokers. Nasal stuffiness improved well after surgery, but a decrease of nasal resistance was not related to improvement of subjective snoring.

Conclusion

Smoking was associated with increased snoring, nasal obstruction, and pharyngeal soft tissue volume. Expectations of patients may influence subjective assessment of snoring after nasal surgery.

Relationship Between Exposure to Second-Hand Smoke in the Workplace and Occupational Injury in the Republic of Korea

Background

Most studies in the field of smoking exposure in the workplace linked to occupational safety have only focused on active smoking. Few studies have reported that exposure to second-hand smoke in the workplace is a possible factor increasing the risk of occupational injury without considering occupational characteristics. The aim of this study was to determine the association between occupational injury and level of exposure to second-hand smoke at the workplace among Korean workers, after taking into account occupational characteristics.

Method

Using data from the third Korean Working Conditions Survey, levels of exposure to second-hand smoke were categorized as none, moderate, and high. We investigated the influence of exposure to second-hand smoke on occupational injury using logistic regression analysis with stratification by sex, smoking status, smoke-free policy in the workplace, and occupational characteristics. Occupational characteristics (occupational classification, working schedule, length of working day, and co-exposure to occupational hazards in the workplace) were stratified and analyzed using logistic regression models to estimate the risk of occupational injury linked to exposure to second-hand smoke.

Results

Among all participants, there was a significant dose-dependent association between risk of occupational injury and level of exposure level to second-hand smoke. After stratification by sex and smoking status, there was a significant association between risk of occupational injury and exposure level to second-hand smoke. Moreover, there was a significant relationship between exposure to second-hand smoke in the workplace and occupational injury, depending on the smoking-free policy at workplace (odds ratio [OR] in completely non-smoking workplace, 4.23; OR in non-smoking workplace with separate smoking area, 2.98; OR in smoking workplace 2.84). Additionally, there was a significant relationship between risk of occupational injury and exposure to second-hand smoke after stratification by occupational classification, working schedule, long working hours, and co-exposure to hazards in the workplace.

Discussion

There was a dose-response relationship between occupational injury and exposure to second-hand smoke, even after stratification to reduce the impact of various potential confounders and after taking into account occupational characteristics. These findings provide greater insight into the effects of exposure to second-hand smoke on the working population and may direct further research and policy-making in this field.

Correlation of upper airway radiographic measurements with risk status for obstructive sleep apnea syndrome in young dental patients

OBJECTIVE

The aim of the present study is to compare radiographic measurements of the upper airway (UA) in young adult patients with different levels of risk status for obstructive sleep apnea syndrome.

STUDY DESIGN

The study included 50 patients between 18 and 30 years of age who were referred for dental examination and evaluation of impacted third molars. Case record forms, including habit history, along with the Berlin Questionnaire and the Epworth Sleepiness Scale, were completed by the patients and their relatives. According to the answers, 25 low-risk patients and 25 high-risk patients were selected. Cephalometric radiographs and cone beam computed radiography images were obtained for radiographic analysis when the patients were admitted into the study.

RESULTS

There were significant differences in body mass index, neck circumference measurements, Epworth score, and smoking status between risk groups. There were significant differences for UA measurements on radiographic evaluation. Body mass index (BMI) was found to be correlated positively with neck circumference and Epworth scores and negatively with UA measurements for all patients. Velopharyngeal measurements showed the highest correlation with Epworth scores, BMI, and neck circumference.

CONCLUSIONS

The radiographic findings correlated with the survey results. Our data suggest that radiographic measurements of UA may be used as a predictor of risk for obstructive sleep apnea syndrome in a young population.

Self-reported exposure to traffic pollution in relation to daytime sleepiness and habitual snoring: a questionnaire study in seven North-European cities

OBJECTIVE/BACKGROUND

Little is known about associations between traffic exposure and sleep disturbances. We examined if self-reported exposure to traffic is associated with habitual snoring and daytime sleepiness in a general population.

METHODS

In the RHINE III study, 12184 adults answered questions on sleep disturbances and traffic exposure. We analysed bedrooms near roads with traffic, bedrooms with traffic noise, and travelling regularly along busy roads as proxies for traffic exposures, using logistic regression. Adjustment factors were study centre, gender, age, smoking habits, educational level, body mass index, physical activity, obstructive sleep apnoea, and sleep duration.

RESULTS

One in ten lived near a busy road, 6% slept in a bedroom with traffic noise, and 11% travelled regularly along busy roads. Habitual snoring affected 25% and daytime sleepiness 21%. More men reported snoring and more women reported daytime sleepiness. Having a bedroom with traffic noise was associated with snoring (adjusted OR 1.29, [95% CI 1.12, 1.48]). For daytime sleepiness, on the other hand, bedroom with traffic noise and high exposure to traffic pollution have significant risk factors (adjusted ORs 1.46 [1.11, 1.92] and 1.65 [1.11, 2.45]). Results were consistent across study centres.

CONCLUSIONS

Daytime sleepiness is associated with traffic pollution and traffic noise, while habitual snoring is only associated with traffic noise. Self-reported traffic exposure should be taken into account when diagnosing and planning treatment for patients with sleep disturbances, because reducing noise and pollution exposure in the bedroom may have a beneficial effect.

Sleep disturbances among Swedish soldiers after military service abroad

Aims Since 1956, more than 100,000 Swedish soldiers have served abroad on various international missions. The aim of this paper was to determine whether there was a connection between military service abroad and sleep disorders among Swedish soldiers. Methods The prevalence of sleep disturbances among 1,080 veterans from Kosovo and Afghanistan was compared with almost 27,000 Swedes from a general population sample, using propensity score matching and logistic regression. The sleep disturbances studied were habitual snoring, difficulty inducing sleep (DIS), difficulty maintaining sleep (DMS), early morning awakenings (EMA), and excessive daytime sleepiness (EDS). Insomnia was defined as having at least one of DIS, DMS, or EMA. The covariates used in the matching and adjustments were age, gender, smoking habits, BMI, education, ever having had asthma, moist snuff, and exercise habits. Results The veterans had a significantly lower prevalence of insomnia (26.2% versus 30.4%) and EDS (22.7% versus 29.4%) compared with a matched group from the reference population, using propensity score matching. Analyses with logistic regression showed that belonging to the military population was related to a lower risk of having DMS (adjusted OR (95% CI) 0.77 (0.64-0.91)), insomnia (OR 0.82 (0.71-0.95)), and EDS (OR 0.74 (0.63-0.86)), whereas no significant difference was found for snoring, DIS, and EMA. Conclusion Swedish veterans have fewer problems with insomnia and daytime sleepiness than the general Swedish population. The explanation of our findings may be the selection processes involved in becoming a soldier and when sampling personnel for military assignments abroad.

Obstructive sleep apnea is a common disorder in the population-a review on the epidemiology of sleep apnea

The prevalence of obstructive sleep apnea (OSA) defined at an apnea-hypopnea index (AHI) ≥5 was a mean of 22% (range, 9-37%) in men and 17% (range, 4-50%) in women in eleven published epidemiological studies published between 1993 and 2013. OSA with excessive daytime sleepiness occurred in 6% (range, 3-18%) of men and in 4% (range, 1-17%) of women. The prevalence increased with time and OSA was reported in 37% of men and in 50% of women in studies from 2008 and 2013 respectively. OSA is more prevalent in men than in women and increases with age and obesity. Smoking and alcohol consumption are also suggested as risk factors, but the results are conflicting. Excessive daytime sleepiness is suggested as the most important symptom of OSA, but only a fraction of subjects with AHI >5 report daytime sleepiness and one study did not find any relationship between daytime sleepiness and sleep apnea in women. Stroke and hypertension and coronary artery disease are associated with sleep apnea. Cross-sectional studies indicate an association between OSA and diabetes mellitus. Patients younger than 70 years run an increased risk of early death if they suffer from OSA. It is concluded that OSA is highly prevalent in the population. It is related to age and obesity. Only a part of subjects with OSA in the population have symptoms of daytime sleepiness. The prevalence of OSA has increased in epidemiological studies over time. Differences and the increase in prevalence of sleep apnea are probably due to different diagnostic equipment, definitions, study design and characteristics of included subjects including effects of the obesity epidemic. Cardiovascular disease, especially stroke is related to OSA, and subjects under the age of 70 run an increased risk of early death if they suffer from OSA.

Traffic-related air pollution and sleep in the Boston Area Community Health Survey

Little is known about environmental determinants of sleep. We investigated the association between black carbon (BC), a marker of traffic-related air pollution, and sleep measures among participants of the Boston Area Community Health Survey. We also sought to assess the impact of sociodemographic factors, health conditions, and season on associations. Residential 24-h BC was estimated from a validated land-use regression model for 3821 participants and averaged over 1-6 months and 1 year. Sleep measures included questionnaire-assessed sleep duration, sleep latency, and sleep apnea. Linear and logistic regression models controlling for confounders estimated the association between sleep measures and BC. Effect modification was tested with interaction terms. Main effects were not observed between BC and sleep measures. However, in stratified models, males experienced 0.23 h less sleep (95% CI: -0.42, -0.03) and those with low SES 0.25 h less sleep (95% CI: -0.48, -0.01) per IQR increase in annual BC (0.21 μg/m(3)). In blacks, sleep duration increased with annual BC (β=0.34 per IQR; 95% CI: 0.12, 0.57). Similar findings were observed for short sleep (≤5 h). BC was not associated with sleep apnea or sleep latency, however, long-term exposure may be associated with shorter sleep duration, particularly in men and those with low SES, and longer sleep duration in blacks.

The impact of active and former smoking on the severity of obstructive sleep apnea

PURPOSE

Although obstructive sleep apnea (OSA) syndrome is a common disorder; the connection between OSA and smoking habits is still controversial. In this study, we investigated whether active smoking and pack × years of smoking have an impact on the severity of the disease regarding the patients with OSA.

METHODS

This study included 964 patients referred to the Sleep Disorders Clinic between 01.01.2007 and 01.03.2013 with an overnight polysomnographic diagnosis of OSA. The correlation between smoking habits and polysomnographic parameters has been studied in detail.

RESULTS

There were 684 male (79 %) and 280 female (21 %) patients, 367 (50.6 %) of whom never smoked. Of all, 20.7 % of the smokers were current smokers (n = 150) while 28.2 % were former smokers (n = 208). Active smokers had a mean age of 49.53 (SD 10.17) while former smokers and never smokers had a mean age of 51.37 (SD 10.62), 54.2 (SD 11.56), respectively, which was statistically significant (p < 0.0001). There was a significant male predominance in smoking (p < 0.0001). In addition, male patients displayed more severe OSA than female patients. (p = 0.001). Desaturation time during sleep was found to be significantly longer in the group of former smokers in comparison to never smokers (73.84 SD 97.1-52 SD 85.8) (p = 0.005). Besides, as the apnea hypopnea index increased, the mean pack × years rose significantly (p = 0.01). Severe smokers compared to mild smokers had higher AHI, lower NREM 3, higher NREM1-2 stages (p = 0. 017, p = 0.007, p < 0.001).

CONCLUSION

In this study, we found that cigarette smoking was associated with early age disease; heavy smokers had more severe OSA.

Should we bother with second-hand smoke exposure if smoking is on track? A poorly explored discrepancy in Denmark

The recognition of the serious health-damaging effects of tobacco smoke exposure has initiated several preventive programmes on the national and international levels worldwide. In the last decade, a considerable decrease in the prevalence of active smoking was observed in Denmark, changing the country from a poor to a favourable position in comparison to other EU countries. However, second-hand tobacco smoke exposure, especially in homes, still ranks Denmark among the problematic countries in Europe. This poorly recognised and studied discrepancy calls for further research and effective targeted interventions on population level.

Simple snoring: not quite so simple after all?

Simple snoring (SS), in the absence of obstructive sleep apnoea (OSA), is a common problem, yet our understanding of its causes and consequences is incomplete. Our understanding is blurred by the lack of consistency in the definition of snoring, methods of assessment, and degree of concomitant complaints. Further, it remains contentious whether SS is independently associated with daytime sleepiness, or adverse health outcomes including cardiovascular disease and metabolic syndrome. Regardless of this lack of clarity, it is likely that SS exists on one end of a continuum, with OSA at its polar end. This possibility highlights the necessity of considering an otherwise 'annoying' complaint, as a serious risk factor for the development and progression of sleep apnoea, and consequent poor health outcomes. In this review, we: 1) highlight variation in prevalence estimates of snoring; 2) review the literature surrounding the distinctions between SS, upper airway resistance syndrome (UARS) and OSA; 3) present the risk factors for SS, in as far as it is distinguishable from UARS and OSA; and 4) describe common correlates of snoring, including cardiovascular disease, metabolic syndrome, and daytime sleepiness.

Prospective assessment of the risk of obstructive sleep apnea in patients attending a tertiary health facility in Sub-Saharan Africa

Introduction

The impact of Obstructive sleep apnea (OSA) in worsening outcomes is profound, especially in the presence of comorbid conditions. This study aimed to describe the proportion of patients at a high risk of OSA in our practice setting.

Methods

The STOP BANG questionnaire and the Epworth Sleepiness scale were used to assess for OSA risk and excessive daytime sleepiness respectively. Hospitalized patients and out-patients were recruited. Intergroup differences in continuous variables were compared using the analysis of variance. The proportion of patients with high risk of OSA and excessive daytime sleepiness was presented as frequencies and group differences compared with the Pearson χ² test. Independent risk predictors for OSA were assessed in multivariate logistic regression analysis.

Results

A total of 1100 patients (53.4% females) participated in the study. Three hundred and ninety nine (36.3%) had a high risk of OSA, and 268 (24.4%) had excessive daytime sleepiness. Of the participants with high OSA risk, 138 (34.6%) had excessive daytime sleepiness compared to 130 (18.5%) of those with low OSA risk (p).

Conclusion

A significant proportion of patients attending our tertiary care center are at high risk of OSA.

Update on obstructive sleep apnea and its relation to COPD

Chronic obstructive pulmonary disease (COPD) is a common and preventable lung disease that affects millions of people in the United States. Sleep disorders including obstructive sleep apnea (OSA) are also common. It is not surprising that many people with COPD also suffer from OSA. This relationship, however, puts people at risk for more nocturnal desaturations and potential complications related to this, including pulmonary hypertension and heart rhythm disturbances. This update focuses on the physiology of sleep disturbances in COPD as well as the clinical implications of OSA in COPD.

Secondhand smoke exposure, restless sleep, and sleep duration in adolescents

Purpose. To examine whether secondhand smoke (SHS) exposure is associated with restless sleep and/or nighttime sleep duration among adolescents. Methods. Data were analyzed from 1,592 adolescents who completed an internet-delivered survey as part of the British Columbia Adolescent Substance Use Survey cohort study. Ordinal logistic and linear regression models were used to examine associations between frequency of SHS exposure in the past month and frequency of restless sleep and nighttime sleep duration, respectively. Results. SHS exposure was significantly positively associated with restless sleep and significantly negatively associated with sleep duration. In fully adjusted models, compared with students who reported never being exposed to SHS in the past month, students who reported a low, medium, or high frequency of SHS exposure were 1.53, 1.76, and 2.51 times as likely, respectively, to report more frequent restless sleep (OR = 1.53, 95% CI 1.08-2.16; OR = 1.76, 95% CI 1.22-2.53; OR = 2.51, 95% CI 1.59-3.98). With regard to sleep duration, as frequency of SHS exposure increased by one category, nighttime sleep duration during the week and weekend decreased by 4 minutes (B = -0.06, 95% CI = -0.01- - 0.11) and 6 minutes (B = -0.09, 95% CI = -0.03- - 0.14), respectively. Conclusions. This study suggests that frequency of SHS exposure has a significant dose-response relationship with restless sleep and sleep duration in adolescents.

Gender and the association of smoking with sleep quantity and quality in American adults

Smoking and gender are known risk factors for sleep disorders. Studies of samples from Norway and Japan have suggested stronger associations between smoking and disrupted sleep in women; therefore, we examined, gender differences in the association in the U.S. population. We analyzed data from the 2005-2006 National Health and Nutrition Examination Survey. We examined the associations between smoking and self-reported measures of sleep disorders (i.e., snoring, short sleep, long sleep, poor sleep, and health care provider diagnosis of sleep disordered breathing) using multivariate logistic regression with odds ratios (OR) and 95% confidence intervals (CI) as measures of association. We also assessed whether the associations varied by gender using a gender x smoking interaction term. Compared to never smokers, current smokers had significantly higher odds of self-reported snoring (OR = 2.0; 95% CI = 1.56-2.56), short sleep (OR 1.68; 95% CI = 1.35-2.10) and poor sleep (OR = 1.38; 95% CI = 1.09-1.74). A dose-response relationship was observed between the amount smoked and sleep symptoms. In multivariate analyses, no significant gender x smoking interaction was observed for snoring, short sleep or poor sleep. Current smoking was independently associated with increased odds of snoring, short sleep, and poor sleep in women and men among U.S. adults.

High-risk of obstructive sleep apnea and excessive daytime sleepiness among commercial intra-city drivers in Lagos metropolis

BACKGROUND

The burden of obstructive sleep apnea among commercial drivers in Nigeria is not known.

AIM

To assess the prevalence of high risk of obstructive sleep apnea (OSA) and excessive daytime sleepiness (EDS) among intra-city commercial drivers.

SETTING AND DESIGN

A descriptive cross-sectional study in three major motor parks in Lagos metropolis.

MATERIALS AND METHODS

Demographic, anthropometric and historical data was obtained. The risk of OSA and EDS was assessed using the STOP BANG questionnaire and the Epworth Sleepiness Scale, respectively.

STATISTICAL ANALYSIS

The relationship between the OSA risk, EDS risk and past road traffic accident (RTA) was explored using the Pearson's chi square. Independent determinants of OSA risk, EDS risk and past RTA, respectively, were assessed by multiple logistic regression models.

RESULT

Five hundred male commercial drivers (mean age (years) ±SD = 42.36 ± 11.17 and mean BMI (kg/m(2)) ±SD = 25.68 ± 3.79) were recruited. OSA risk was high in 244 (48.8%) drivers and 72 (14.4%) had EDS. There was a positive relationship between OSA risk and the risk of EDS (Pearson's X(2) = 28.2, P < 0.001). Sixty-one (12.2%) drivers had a past history of RTA but there was no significant relationship between a past RTA and either OSA risk (X(2) = 2.05, P = 0.15) or EDS risk (X(2) = 2.7, P = 0.1), respectively. Abdominal adiposity, regular alcohol use and EDS were independent determinants of OSA risk while the use of cannabis and OSA risk were independent determinants of EDS. No independent risk factor for past RTA was identified.

CONCLUSION

A significant proportion of commercial drivers in Lagos metropolis are at high risk of OSA and EDS.

Sleep habits, insomnia, and daytime sleepiness in a large and healthy community-based sample of New Zealanders

STUDY OBJECTIVES

To determine the relationship between sleep complaints, primary insomnia, excessive daytime sleepiness, and lifestyle factors in a large community-based sample.

DESIGN

Cross-sectional study.

SETTING

Blood donor sites in New Zealand.

PATIENTS OR PARTICIPANTS

22,389 individuals aged 16-84 years volunteering to donate blood.

INTERVENTIONS

N/A.

MEASUREMENTS

A comprehensive self-administered questionnaire including personal demographics and validated questions assessing sleep disorders (snoring, apnea), sleep complaints (sleep quantity, sleep dissatisfaction), insomnia symptoms, excessive daytime sleepiness, mood, and lifestyle factors such as work patterns, smoking, alcohol, and illicit substance use. Additionally, direct measurements of height and weight were obtained.

RESULTS

One in three participants report < 7-8 h sleep, 5 or more nights per week, and 60% would like more sleep. Almost half the participants (45%) report suffering the symptoms of insomnia at least once per week, with one in 5 meeting more stringent criteria for primary insomnia. Excessive daytime sleepiness (evident in 9% of this large, predominantly healthy sample) was associated with insomnia (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.50 to 2.05), depression (OR 2.01, CI 1.74 to 2.32), and sleep disordered breathing (OR 1.92, CI 1.59 to 2.32). Long work hours, alcohol dependence, and rotating work shifts also increase the risk of daytime sleepiness.

CONCLUSIONS

Even in this relatively young, healthy, non-clinical sample, sleep complaints and primary insomnia with subsequent excess daytime sleepiness were common. There were clear associations between many personal and lifestyle factors-such as depression, long work hours, alcohol dependence, and rotating shift work-and sleep problems or excessive daytime sleepiness.

Sleep, blood pressure and obesity in 22,389 New Zealanders

AIM

To determine the relationship of sleep disorders with blood pressure and obesity in a large, relatively healthy, community-based cohort.

METHODS

A cross-sectional study was undertaken using data from 22,389 volunteer blood donors in New Zealand aged 16-84 years. Height, weight, neck circumference and blood pressure were measured directly, and data on sleep and other factors were ascertained using a validated self-administered questionnaire.

RESULTS

Even in a relatively young, non-clinical cohort, lack of sleep (34%), snoring (33%), high blood pressure (20%) and obesity (19%) are common. After adjusting for relevant confounders, participants at high risk of sleep apnoea had double the odds of having high blood pressure but only in participants over 40 years. Very low and high quantities of sleep are also associated with high blood pressure. Even after controlling for neck circumference, self-reported sleep apnoea, sleep dissatisfaction and low amounts of sleep are associated with a higher body mass index.

CONCLUSIONS

Obesity and hypertension have significant associations with a variety of sleep disorders, even in those less than 40 years of age and after adjusting for a wide range of potential confounders.

Smoking induces oropharyngeal narrowing and increases the severity of obstructive sleep apnea syndrome

OBJECTIVE

Smoking is a known risk factor for snoring, and is reported to be associated with an increased prevalence of obstructive sleep apnea syndrome (OSAS). The purpose of this was to determine the relationship of smoking to the severity of OSAS and examine what local histological changes in the uvular mucosa of OSAS patients might influence this relationship.

STUDY DESIGN AND METHODS

Fifty-seven OSAS subjects were included and classified according to smoking history and OSAS severity. Twenty-eight subjects were heavy smokers and 29 were nonsmokers; these 57 patients were divided according to moderate or severe OSAS. Histologic changes in the uvular mucosa were evaluated in all subjects as well as smoking duration and OSAS severity.

RESULTS

Among smokers, moderate-to-severe OSAS was more common, and apnea, hypopnea, and oxygen desaturation indices were higher. Moreover, smoking duration and OSAS severity were significantly correlated. Increased thickness and edema of the uvular mucosa lamina propria were observed in moderate and severe OSAS patients, and only smokers had significant changes in uvular mucosa histology. Positive staining for calcitonin gene-related peptide (CGRP), a neuroinflammatory marker for peripheral nerves, was increased in the uvular mucosa of smokers.

CONCLUSIONS

Our results suggest that smoking may worsen OSAS through exacerbation of upper airway collapse at the level of the uvula, and that histological changes of the uvular mucosa correlated with smoking might be due to increased CGRP-related neurogenic inflammation.

Pathogenesis of cognitive dysfunction in patients with obstructive sleep apnea: a hypothesis with emphasis on the nucleus tractus solitarius

OSA is characterized by the quintessential triad of intermittent apnea, hypoxia, and hypoxemia due to pharyngeal collapse. This paper highlights the upstream mechanisms that may trigger cognitive decline in OSA. Three interrelated steps underpin cognitive dysfunction in OSA patients. First, several risk factors upregulate peripheral inflammation; these crucial factors promote neuroinflammation, cerebrovascular endothelial dysfunction, and oxidative stress in OSA. Secondly, the neuroinflammation exerts negative impact globally on the CNS, and thirdly, important foci in the neocortex and brainstem are rendered inflamed and dysfunctional. A strong link is known to exist between neuroinflammation and neurodegeneration. A unique perspective delineated here underscores the importance of dysfunctional brainstem nuclei in etiopathogenesis of cognitive decline in OSA patients. Nucleus tractus solitarius (NTS) is the central integration hub for afferents from upper airway (somatosensory/gustatory), respiratory, gastrointestinal, cardiovascular (baroreceptor and chemoreceptor) and other systems. The NTS has an essential role in sympathetic and parasympathetic systems also; it projects to most key brain regions and modulates numerous physiological functions. Inflamed and dysfunctional NTS and other key brainstem nuclei may play a pivotal role in triggering memory and cognitive dysfunction in OSA. Attenuation of upstream factors and amelioration of the NTS dysfunction remain important challenges.

Obstructive sleep apnoea and schizophrenia: a primer for psychiatrists

Alam A, Chengappa KNR. Obstructive sleep apnoea and schizophrenia: a primer for psychiatrists Objective: The main objective of this review is to improve psychiatric clinician awareness of obstructive sleep apnoea (OSA) and its potential consequences in patients with schizophrenia. This article will also discuss the diagnosis and treatment options for OSA while considering the significant role psychiatrists can play in facilitating the diagnosis and treatment of OSA.

DATA SOURCES

Ovid, Medline and PsychInfo databases were searched for articles between 1960 and 2010. Search terms used were Sleep apnoea or apnoea and schizophrenia or psychosis. The number of articles retrieved was 38. Articles were carefully reviewed for any data pertinent to OSA in patients with schizophrenia.

CONCLUSIONS

OSA is a common disorder that is frequently unrecognised. As a chronic breathing condition, OSA is associated with adverse health outcomes and high mortality. OSA may co-occur with schizophrenia or evolve over time, especially with weight gain. The diagnosis should be considered whenever a patient presents with risk factors or clinical manifestations that are highly suggestive of OSA. Those who report snoring, daytime sleepiness and are obese or have a large neck circumference should be considered for an OSA diagnosis. Appropriate diagnosis and treatment of OSA can reduce daytime sleepiness, improve cardiovascular and other medical conditions, as well as reduce mortality. Psychiatrists can play very important role in suspecting OSA in their patients and making the initial referral. Furthermore, behavioural management, especially promoting weight loss and smoking cessation, are effective components of OSA treatment that psychiatrists are positioned to facilitate with their patients.

Parental smoking, nasal resistance and rhinitis in children

AIM

To determine whether parent-reported perennial rhinitis or objectively measured nasal resistance is more common in children from smoking families. To assess tonsillar size, nasopharyngeal airway and upper airway surgery frequency in children with smoking and non-smoking parents.

METHODS

Ninety-five children (age 3-6 years, median 68 months) participated in this prospective cross-sectional clinical study. History of nasal symptoms was obtained, and all underwent an ear-nose-throat examination, anterior rhinomanometry and a lateral cephalogram. Regular smoking by either parent and their child's snoring was inquired about with a parental questionnaire. We compared children with a parental smoker and children without a parental smoker in the family.

RESULTS

Smoking in the family led to increased risk for perennial rhinitis in the children up to 2.76-fold (aOR, 95%CI 1.00-7.67), but with no difference in nasal resistance between children from smoking and non-smoking households. Neither tonsillar size, nasopharyngeal airway nor upper airway surgery was associated with parental smoking.

CONCLUSIONS

Parental smoking is associated with symptoms of perennial rhinitis in children. The possible role of environmental tobacco smoke should be taken into account in parent counselling and in evaluation of children being treated for symptoms of rhinitis and nasal obstruction.

The association between active smoking, smokeless tobacco, second-hand smoke exposure and insufficient sleep

BACKGROUND

Studies have shown that cigarette smoking is associated with sleep disorders in the general population. But studies examining the association between smokeless tobacco use, second-hand smoke exposure and insufficient rest/sleep are limited.

METHODS

We examined the association between smoking, smokeless tobacco use (n=83,072), second-hand smoke exposure (n=28,557) and insufficient rest/sleep among adults aged ≥20 years in the state-based 2008 Behavioral Risk Factor Surveillance System. Exposure to second-hand smoke was defined as >1 day of exposure to cigarette smoking either at home or in the workplace in the preceding 7 days. Insufficient rest/sleep was defined as not getting enough rest/sleep everyday in the preceding 30 days.

RESULTS

Compared to never smokeless tobacco users, the odds ratio (OR; 95% confidence interval [CI]) of insufficient rest/sleep was 1.16 (1.00-1.36) and 1.74 (1.37-2.22) among former and current users. Compared to non-smokers/non-smokeless tobacco users, the OR (95% CI) of insufficient rest/sleep for those who were both current smokers and current smokeless tobacco users was 2.21 (1.66-2.94). Regarding second-hand smoke exposure among non-smokers, those with second-hand smoke exposure had higher odds for insufficient rest/sleep than those without. In contrast, the odds of insufficient rest/sleep were similar among current smokers with or without second-hand smoke exposure.

CONCLUSIONS

In a multiethnic sample of US adults, compared to non-smokers/non-smokeless tobacco users, those who were both current smokers and current smokeless tobacco users had twice the odds of insufficient sleep. Second-hand smoke exposure was associated with insufficient rest/sleep among non-smokers.