Nicotine dependence and sleep quality in young adults

Associations Between Self-Reported Sleep Quality, Fatigue Severity, Factors Associated With Successful Cessation, and Cessation Beliefs Among Regular Smokers

BACKGROUND

Smokers report poorer sleep than nonsmokers and sleep quality deteriorates further during cessation, increasing risk of smoking relapse. Better understanding of the relationship between sleep and relapse-related outcomes could inform novel approaches to smoking cessation support. The aim of this study was to investigate same-day associations of self-reported sleep quality and fatigue severity with factors associated with successful cessation and cessation beliefs, among regular smokers.

METHODS

This cross-sectional observational study (n = 412) collected self-reported sleep quality, fatigue severity, and factors associated with successful cessation and cessation beliefs among regular smokers via an online survey (60% male).

RESULTS

There was evidence of an association between sleep quality (SQ) and reduced 24-hour (β = -0.12, p = .05) and lifetime (β = -0.09, p = .04) abstinence self-efficacy. In addition, poorer SQ and higher fatigue severity (FS) were associated with increased smoking urges (SQ: β = 0.27, p < .001; FS: β = 0.32, p < .001), increased barriers to cessation (SQ: β = 0.19, p < .001; FS: β = 0.32, p < .001), and increased perceived risks to cessation (SQ: β = 0.18, p < .001; FS: β = 0.26, p < .001). Fatigue severity was weakly associated with increased perceived benefits to cessation (β = 0.12, p = .017).

CONCLUSIONS

Self-reported sleep quality and fatigue severity were associated with multiple factors associated with successful cessation and cessation beliefs. Further research is needed to extend these findings by using different methods to identify the temporal direction of associations and causality.

IMPLICATIONS

This study is the first to examine associations between sleep quality, fatigue severity, and factors associated with successful cessation and cessation beliefs. Findings show that both sleep quality and fatigue severity are associated with multiple factors associated with successful cessation and could be modifiable targets for future smoking cessation interventions. Furthermore, our data suggest that fatigue severity has an independent effect on multiple factors associated with successful cessation when accounting for sleep quality. This indicates that fatigue, independent of sleep quality, could be an important factor in a quit attempt.

Exploring the relationship between smoking and poor sleep quality: a cross-sectional study using NHANES

Introduction

Sleeping disorders is a high prevalent disorder, and although previous research has suggested a link between smoking and sleep disorders, there is a lack of large-scale, nationally representative studies examining this association across multiple sleep outcomes and exploring dose-response relationships.

Methods

This study used data from 30,269 participants from the NHANES database (2007-2020). Weighted logistic regression models were used to assess the associations between smoking status (non-smoker, light smoker, moderate smoker, and heavy smoker) and various sleep outcomes, including insufficient sleep duration, reported sleep problems, snoring, snorting, or stopping breathing during sleep, and daytime sleepiness. Dose-response relationships were explored using restricted cubic splines.

Results

Compared to non-smokers, heavy smokers had significantly higher odds of experiencing insufficient sleep duration with OR 1.732 (95% CI 1.528-1.963, P <0.001), reported sleep problems with OR 1.990 (95% CI 1.766-2.243, P <0.001), occasional or frequent snoring with OR 1.908 (95% CI 1.164-3.128, P = 0.03), and occasional or frequent snorting or stopping breathing during sleep with OR 1.863 (95% CI 1.183-2.936, P = 0.022), while results for sometimes, often or almost always being overly sleepy during the day with OR 1.257 (95% CI 0.872-1.810, P = 0.115) are not significant. A trend of positive correlation was observed between smoking and all sleep disorder outcomes (P for trend < 0.05). Dose-response analyses revealed that the odds of these sleep outcomes increased with higher smoking levels.

Conclusion

Smoking is significantly associated with various sleep disorders, and a dose-response relationship exists between smoking levels and the odds of experiencing these sleep problems. These findings underscore the importance of addressing smoking as a modifiable risk factor for poor sleep health and suggest that reducing smoking, even if complete cessation is not achieved, may have positive effects on sleep outcomes.

Risk-Taking, Social Support, and Belongingness Contribute to the Risk for Cannabis Use Frequency in University Students

Background: Cannabis use and misuse is known to be associated with a variety of negative health, academic, and work-related outcomes; therefore, it is important to study the factors that contribute to or moderate its use. Objectives: The aim of this study was to determine whether risky behavior, belongingness and social support as clustering variables play a role in cannabis use frequency. Method: In a university student sample, participant data on risky behavior, belongingness and social support were used to generate vulnerability profiles through cluster analysis (low vulnerability with low risk, low vulnerability with high belonging, moderate vulnerability, and high vulnerability). Using an analysis of variance, the vulnerability profiles were compared with respect to cannabis use frequency and quantity. Through chi-square tests we assessed whether these profiles are overrepresented in certain demographics. Results: The cluster analysis yielded four groups, which differed in their vulnerability for cannabis use. The most vulnerable cluster group had higher cannabis use frequency relative to the two least vulnerable groups. Low income vs. high income was also associated with high vulnerability group membership. International students were overrepresented in the low vulnerability with high belonging group relative to the low vulnerability with low-risk group. The opposite was observed for domestic students. Conclusions: This research adds to the expanding body of literature on cannabis use and misuse in Canada, which may contribute to public health policy and the prevention and treatment of cannabis addiction by providing new insight on who may be at risk.

Associations between e-cigarette use and sleep health among adults in the United States, NHANES 2015-2018

OBJECTIVE

To examine the associations between e-cigarette use or dual (e-cigarette and combustible cigarette) use and short sleep duration and trouble sleeping among U.S. adults.

METHODS

We used 2015-2018 data from the National Health and Nutrition Examination Survey (NHANES) (n = 11,659). E-cigarette use and dual use were categorized as current, former, and never use. Short sleep duration was defined as sleep duration ≤6 h. Trouble sleeping was self-reported. Weighted logistic regression analyses were performed.

RESULTS

Among those with current e-cigarette use, 53.9 % were with current dual use and 23.8 % were with former dual use. Compared to never e-cigarette use, current e-cigarette use was associated with significantly higher odds of trouble sleeping (OR = 2.16, 95 % CI: 1.49-3.13), adjusting for potential confounders. Significant associations were also observed for former e-cigarette use versus never use with trouble sleeping (OR = 1.54, 95 % CI: 1.15-2.07) after full adjustment. Current cigarette use was associated with both short sleep duration (OR = 1.65, 95 % CI: 1.28-2.14) and trouble sleeping (OR = 1.36, 95 % CI: 1.03-1.79) after full adjustment. Additionally, the fully adjusted ORs for short sleep duration and trouble sleeping were 1.64 (95 % CI: 1.06-2.54) and 2.14 (95 % CI: 1.34-3.42) among those with current dual use, and 1.46 (95 % CI: 1.17-1.81) and 2.11 (95 % CI: 1.66-2.67) among those with former dual use, compared to those without dual use.

CONCLUSIONS

Current cigarette use or dual use is associated with significantly higher odds of short sleep duration and trouble sleeping. Moreover, former e-cigarette use or dual use is associated with increased odds of trouble sleeping.

Sleep Disorders' Prevalence and Impact on Academic Performance among Undergraduate Nursing Students in a Selected University, United Arab Emirates

Introduction

Throughout their academic pursuits, students may encounter various sleep-related issues, including insomnia, sleep apnea, hypersomnia, or sleep terror disorder. These disorders can profoundly impact their well-being, emotional state, and academic achievements.

Objective

This study, of significant relevance to the field of nursing and sleep disorders, aimed to investigate the prevalence of sleep disorders and their impact on academic performance among undergraduate nursing students in the United Arab Emirates.

Methods

A cross-sectional research method was implemented among 177 undergraduate nursing students. Two tools were used: Too I consisted of two parts: sociodemographic and academic performance classifications, whereas Tool II comprised the SLEEP-50 questionnaire.

Results

Our findings revealed that 30.6% of nursing students had one or more sleep disorders. Insomnia was the most prevalent among the nursing students (37.5%), followed by circadian rhythm (33.3%), narcolepsy (26.6%), sleep apnea and restless leg syndrome (25%), nightmares (22.2%), and sleepwalking (11.11%). There was a significant relation between restless leg syndrome and academic performance, while in linear regression analysis, it was found that the variable that most affects sleep is gender.

Conclusion

The implications of this study's findings are clear-nursing schools must intensify their efforts to raise awareness about the detrimental effects of sleep problems on academic performance. Furthermore, subsequent research is crucial to evaluate the execution of interventions aimed at preventing such disorders.

Healthy sleep practices for shift workers: consensus sleep hygiene guidelines using a Delphi methodology

STUDY OBJECTIVES

The unique requirements of shift work, such as sleeping and working at variable times, mean that current sleep hygiene guidelines may be inappropriate for shift workers. Current guidelines may also contradict fatigue management advice (e.g. advising against daytime napping). The present study utilized a Delphi methodology to determine expert opinion regarding the applicability of current guidelines for shift workers, the appropriateness of the term "sleep hygiene," and develop tailored guidelines for shift workers.

METHODS

The research team reviewed current guidelines and existing evidence to draft tailored guidelines. Seventeen individual guidelines, covering sleep scheduling, napping, sleep environment, bedtime routine, substances, light exposure, diet, and exercise were drafted. Experts from sleep, shift work, and occupational health fields (n = 155) were invited to review the draft guidelines using a Delphi methodology. In each round, experts voted on individual guidelines, with 70% agreement considered consensus. Where consensus was not reached, written feedback from experts was discussed and incorporated into subsequent iterations.

RESULTS

Of the experts invited, 68 (44%) agreed to participate, with 55 (35%) completing the third (final) round. Most experts (84%) agreed that tailored guidelines were required for shift workers. Consensus was reached on all guidelines after three rounds. One additional guideline (sleep inertia) and an introductory statement were developed, resulting in a final set of 18 individual guidelines, termed "healthy sleep practices for shift workers."

CONCLUSIONS

This is the first study to develop tailored sleep hygiene guidelines for shift workers. Future research should investigate the acceptability and effectiveness of these guidelines amongst shift workers.

Factors Influencing Sleep Disturbances in Adolescent Smokers in South Korea

ABSTRACT

This study aimed to describe sleep disturbances and identify associated factors in adolescent smokers in South Korea. This study adopted a cross-sectional design and recruited 520 students aged 12-17 years from 35 schools to participate in a smoking cessation program. To compare demographic, smoking-related, psychological, and problem behavior characteristics between adolescent smokers with sleep disturbances and without sleep disturbances, chi-square tests and independent t tests were used. Logistic regression analysis was performed to identify the factors associated with sleep disturbances in adolescent smokers. Approximately 45.8% of adolescent smokers reported sleep disturbances. Sleep disturbances were more frequent among girls than among boys and more frequent among high school students than among middle school students. Other factors included cigarette use within 1 month, nicotine dependence, smoking cessation self-efficacy, depression, Internet addiction, and suicidal ideation. Gender (girls), school level (high school), depression, Internet addiction, and daily cigarette use (11 or more cigarettes) were significantly associated with sleep disturbances in adolescent smokers. To improve the sleep quality of adolescent smokers, health professionals should focus on sleep disturbances and associated factors and develop appropriate intervention programs.

Electronic cigarette use and cigarette smoking associated with inadequate sleep duration among U.S. young adults

OBJECTIVE

Nicotine use can influence inadequate sleep, but less is known about the associations of exclusive and dual use of electronic cigarettes (e-cigarettes) with combustible cigarettes in U.S. young adults. This study assessed the associations between current exclusive e-cigarette use, exclusive cigarette smoking, and dual e-cigarette and combustible cigarette use and inadequate sleep duration among U.S. young adults.

METHODS

We performed a secondary analysis of 2020 Behavioral Risk Factor Surveillance System (BRFSS) data including 13,978 U.S. young adults ages 18-24 years. Inadequate sleep duration was assessed categorically using the National Sleep Foundation's age-specific recommendations that define <7 h as inadequate sleep. Weighted logistic regression models were performed while adjusting for participants' sex, race/ethnicity, education level, annual household income level, body mass index, current physical activity, mental health status, disability status, current alcohol use, and current smokeless tobacco use.

RESULTS

Concerning use patterns, 11.8% of young adults were exclusive e-cigarette users, 4.7% were exclusive cigarette smokers, and 3.8% were dual e-cigarette and combustible cigarette users. Exclusive e-cigarette users (adjusted odds ratio [AOR] = 1.41, 95% confidence interval [CI] = 1.16-1.72), exclusive cigarette smokers (AOR = 1.63, 95%CI = 1.22-2.18), and dual product users (AOR = 2.03, 95%CI = 1.44-2.86) were at increased odds of having inadequate sleep duration compared to non-users, while adjusting for the covariates. Additionally, dual product users were at increased odds (AOR = 1.52, 95%CI = 1.06-2.19) of reporting inadequate sleep duration compared to exclusive e-cigarette users, while adjusting for the covariates.

CONCLUSIONS

Current e-cigarette and cigarette use may influence inadequate sleep among U.S. young adults. Tobacco cessation efforts may encourage increased sleep health.

Sleep Quality and Nicotine Dependence Among Lebanese University Residents and Fellows: A Cross-Sectional Study

Background and objectives Sleep quality and nicotine addiction are important public health issues with significant negative impacts on individual well-being and the performance of healthcare professionals. This study aims to determine the prevalence and association of nicotine dependence and poor sleep quality among residents and fellows enrolled in the Lebanese University. Methods A cross-sectional study using the snowball-sampling technique was conducted in Lebanon between January and March 2023. Data were collected through an online survey that included information on socio-demographic characteristics, nicotine dependence, and sleep quality. A total of 350 residents and fellows were included in the study. Bivariate analysis and multivariable logistic regression were carried out to identify the factors associated with sleep quality. Adjusted odds ratio and 95% confidence intervals were reported. Results One quarter (25.1%) of the residents and fellows were smokers; among them, 44.3% smoked I Quit Ordinary Smoking (IQOS), 14.8% smoked cigarettes, 10.2% smoked waterpipe (WP), 12.5% smoked cigarettes and WP, and 18.2% smoked IQOS and WP. According to the Pittsburgh Sleep Quality Index (PSQI), 34.3% of participants had poor sleep quality. Smokers had 12.5 times higher odds of experiencing poor sleep quality compared to non-smokers (adjusted odds ratio ORadj = 12.58 with 95% confidence interval [CI] of 7.07-22.36; p-value <0.001). In addition, smoking a combination of two types of tobacco products (cigarettes with WP or IQOS with WP) posed the highest risk of poor sleep quality, with an adjusted odds ratio of 31.54 (95% CI of 9.15-45.74, p-value <0.001). Elevated Fagerström Test for Nicotine Dependence (FTND) and Lebanon Waterpipe Dependence Scale (LWDS-11) scores indicated an increased risk of poor sleep quality (adjusted odds ratio ORadj = 4.69 with 95% CI of 2.179-10.10; p-value <0.001; and adjusted odds ratio ORadj =1.27 with 95% CI of 1.04-1.55; p-value 0.019, respectively). Conclusion Our study found a significant association between nicotine dependence and poor sleep quality among medical residents and fellows, with smokers being more susceptible to sleep disturbances. The high prevalence of IQOS smoking among medical residents and fellows in Lebanon highlights the urgent need for comprehensive research investigating the effects of heated tobacco products. Furthermore, our study reveals a critical insight into the potential additive effects of nicotine, suggesting that the concurrent use of multiple tobacco products may further elevate the risk of poor sleep quality. Recognizing the implications of our findings, it is imperative to develop targeted interventions and educational programs that promote healthier sleep habits and facilitate smoking cessation among medical residents and fellows.

Leveraging Ecological Momentary Assessment to Examine Bi-directional Associations Between Sleep Quality, Adolescent/Young Adult Alcohol Craving and Use

BACKGROUND

Alcohol use is common among adolescents and young adults (AYA) and linked to poor sleep quality. Poor sleep quality may also increase alcohol use and alcohol craving, yet bi-directional relations between sleep quality and AYA alcohol use are poorly understood.

PURPOSE

This study examined bi-directional associations between sleep quality, alcohol craving, and alcohol use in AYA using ecological momentary assessment (EMA) and explored if biological sex, age, or race moderated these associations.

METHODS

This pre-registered secondary analysis pooled EMA data from the baseline, pre-randomization period (M = 8.18 days, range = 1-17) in two double-blind randomized placebo-controlled clinical trials examining medication effects on alcohol use in AYA (N = 115). Each morning, participants reported sleep quality and alcohol consumption (i.e., number of standard drinks) from the previous day, and craving was rated at several random points each day.

RESULTS

Multilevel modeling showed that poorer average sleep quality was associated with higher levels of alcohol craving for females but not for males, and better overall levels of sleep quality were associated with decreased likelihood of engaging in alcohol use. No other person- or day-level associations between sleep and alcohol use emerged.

CONCLUSIONS

Better sleep quality may be protective against alcohol use in AYA, and female AYA who report poorer sleep quality may experience higher levels of alcohol craving. Research and clinical assessment of AYA sleep quality can contribute to understanding of factors promoting alcohol craving and use.

A systematic review and meta-analysis of the association between young adults' sleep habits and substance use, with a focus on self-medication behaviours

Young adults (18-30 years) are vulnerable to sleep-wake disturbances and substance use, which are bi-directionally associated. The present work aims to organise the literature that deals with the association between sleep and substance use in young adults, also considering self-medication behaviours. We adopted a framework that accounts for the multidimensionality of sleep and the effect of different substances. We considered sleep disturbances (insomnia symptoms, sleep quality), sleep health dimensions (duration, satisfaction, efficiency, timing, daytime alertness), circadian characteristics (chronotype). Substances were alcohol, caffeine, nicotine, cannabis, others. We included 46 studies. The use of caffeine and nicotine was associated with higher odds of sleep disturbances. No significant effect was detected for sleep duration. In narrative findings, daytime dysfunction was associated with alcohol and caffeine use, and poor sleep satisfaction with nicotine use. Few evidence were available for the other sleep health dimensions. Evening chronotype was associated with alcohol, caffeine, and nicotine use. Few studies focused on cannabis or self-medication. Longitudinal results were inconclusive. We found a distinct pattern of associations between different substances and different sleep outcomes. Further investigation considering the multidimensionality of sleep would create a better understanding of the complex relationship between substance use and sleep health in young adults.

Mechanism of the association between sleep quality and mortality in middle-aged and older adults: A prospective study analysis of the UK Biobank

BACKGROUND

Although sleep quality is known to be associated with mortality, how poor sleep quality contributes to an increased risk of mortality is still unknown. We aimed to examine whether lifestyle, psychosocial and biological factors mediate the association.

METHODS

205,654 participants from UK Biobank were used for the analysis. The outcome was all-cause, cardiovascular disease (CVD) and cancer mortality by February 2022. Exposure was assessed by a sleep score consisting of five sleep behaviors at baseline. Lifestyle, psychosocial, and biological factors are regarded as potential mediators. Mediation analysis based on Cox proportional hazards models was performed.

RESULTS

Poor sleep quality was associated with a higher risk of all-cause (Hazard Ratio [HR] = 1.098; 95% CI: 1.058-1.140), CVD (HR = 1.139; 95% CI: 1.045-1.243) and cancer mortality (HR = 1.095; 95% CI: 1.040-1.152). Lifestyle mediators (smoking, physical activity, sedentary, BMI and diet) could explain between 2.6% and 34.0% of the increased risk of all-cause mortality in individuals with poor sleep quality. Self-reported health, frailty, depression, and loneliness were significant psychosocial mediators of this association pathway. About one-fifth of the association can be explained by the biological role of CRP. Similar mediating patterns were observed for CVD and cancer mortality.

LIMITATIONS

Both exposure and mediators were measured at baseline, so the possibility of reverse causality cannot be ruled out.

CONCLUSIONS

Poor sleep quality is associated with an increased risk of death through a combination of lifestyle, psychosocial and biological pathways. Adopting healthy lifestyles and staying psychosocial well-being are cost-effective interventions to lower the risk of death.

Discrimination and insomnia: Examining depressive symptoms and nicotine withdrawal through a serial mediation model in a sample of smokers

Insomnia is a common sleep disorder associated with poor health outcomes. Individuals from racially underrepresented groups as well as women tend to report more severe insomnia symptoms, and frequent experiences of discrimination have been found to drive such disparities. Smokers commonly experience sleep problems since nicotine can alter the sleep-wake cycle. Discrimination is associated with increased nicotine dependence, and such discrimination may also intensify tobacco withdrawal, specifically mood and cognitive-related aspects of withdrawal. The potential impact of discrimination on withdrawal symptoms and related mood symptoms like depression may lead to increases in insomnia symptoms. However, no studies to date have evaluated the indirect association of discrimination with insomnia severity through nicotine withdrawal and depressive symptoms. Therefore, this cross-sectional survey of n = 110 non-Hispanic Black and White current smokers (48.2 % Black, 69.1 % women) investigated these associations through a serial mediation model. Controlling for race, gender, nicotine dependence levels, and income, multivariate analyses supported a significant indirect effect of discrimination on insomnia severity through depressive symptoms. Analyses supported the hypothesized serial mediation model whereby discrimination is positively associated with depressive symptoms, which in turn are linked to more severe nicotine withdrawal, leading to greater insomnia severity. Smokers encountering frequent experiences of discrimination might be at increased risk of suffering insomnia as a result of their increased depressive and withdrawal symptoms. Future work is necessary to understand the role of depressive symptoms in these associations as well as possible implications for smoking relapse and success of smoking cessation programs.

Tobacco use and incident sleep parameters among a rural ageing population in South Africa

INTRODUCTION

Tobacco use may be associated with incident insomnia. The aim of the study was to investigate the association between tobacco use and incident sleep parameters in a longitudinal study in South Africa.

METHODS

Longitudinal data from two consecutive waves of middle-aged and older adults in 2014-2015 (n=5059) and 2018-2019 (n=4176) in rural South Africa were analyzed. Tobacco use and sleep parameters were assessed by self-report. The associations between tobacco use and incident sleep parameters were estimated with multivariable logistic regression.

RESULTS

The prevalence of baseline sleep parameters was poor sleep quality 6.5%, sleep disturbance 13.6%, restless sleep 32.9%, and breathing stops 7.0%. In the fully adjusted model for people without poor sleep quality at baseline, daily tobacco smoking, smoking ≥10 units of tobacco products, current tobacco use and current smokeless tobacco use did not increase the odds of incident poor sleep quality. Smoking ≥10 units of tobacco products in a day (AOR=3.83; 95% CI: 1.77-8.28), current tobacco use (AOR=1.65; 95% CI: 1.09-2.51), and daily tobacco smoking (AOR=2.16; 95% CI: 1.15-4.07), were significantly positively associated with incident sleep disturbance. Furthermore, incident restless sleep was significantly positively associated with smoking ≥10 units of tobacco products in a day (AOR=3.97; 95% CI: 1.18-13.37), current smokeless tobacco use (AOR=2.78; 95% CI: 1.17-6.62) and current tobacco use (AOR=2.00; 95% CI: 1.00-4.00). Incident breathing stops were significantly positively associated with daily smoking tobacco (AOR=2.08; 95% CI: 1.11-3.34), smoking 1-9 units of tobacco products in a day (AOR=2.17; 95% CI: 1.20-3.94), and current tobacco use (AOR=1.77; 95% CI: 1.16-2.72).

CONCLUSIONS

Higher tobacco use was independently associated with incident sleep disturbance, incident restless sleep, and incident breathing stops, but not with incident poor sleep quality.

Towards Healthy Adolescents: A Review of Smoking Impact According to Dental Perspectives

Nowadays, tobacco companies target to recruit new smokers among adolescents due to this age group was easy to be influenced by smoking behaviours. This narrative review aimed to explore the possible impact of smoking among adolescents. Knowing the negative impacts of smoking might result in avoiding continuing the habit or preventing from initiation of the habit. The literature search on PubMed, SCOPUS, and Epistemonikos database with related search terms of “adolescents”, “smoking” and “impact”. Only papers published within the year 2017 to 2021 and in the English language were included. However, articles without full text were excluded from this review. Fourteen articles were selected and divided impacts into three categories which are effect on oral health, effect on general health and other impacts. Possible impacts of smoking among adolescents were identified, and it could be beneficial in the development of customized smoking prevention or smoking cessation intervention for adolescents.

Sleep quality among undergraduate medical students in Rwanda: a comparative study

Despite the abundance of literature highlighting poor sleep quality among medical students and its detrimental impact on their mental well-being and academic performance, no study has been conducted to investigate the sleep quality of undergraduate medical students in Rwanda to date. Therefore, this study sought to determine the magnitude of sleep quality of undergraduate medical students in Rwanda and to compare the scores of seven components of sleep quality across classes. This cross-sectional study was conducted among 290 undergraduate medical students aged 18-35 years (mean = 24, SD = 2.9) randomly recruited countrywide from 1st November 2021 to 1st March 2022. The questionnaire was self-administered with 2 sections: characteristics of medical students, and Pittsburgh Sleep Quality Index (PSQI). The Pearson Chi-square test was used to test whether the categories of seven components of sleep quality differ between classes, then ANOVA followed by the post hoc test was used to test if the seven components and global score of Pittsburgh Sleep Quality Index differ between classes. The results revealed that the global PSQI mean score was 7.73 (SD = 2.83), with fifth-year medical students reporting the highest PSQI mean score (M = 8.44, SD = 2.77), followed by first-year (M = 8.15, SD = 3.31). One-way ANOVA showed that the global PSQI score (F = 2.76, p = 0.028), subjective sleep quality (F = 3.35, p = 0.011), habitual sleep efficiency (F = 10.20, p < 0.001), and daytime dysfunction (F = 3.60, p = 0.007) were significantly different across classes. Notably, the post hoc test revealed significant scores differences in the global PSQI score between class II and V (p = 0.026), in subjective sleep quality between class I and II (p = 0.043), and between class I and IV (p = 0.016); habitual sleep efficiency between class V and all other classes (p < 0.001); and daytime dysfunction between class III and IV (p = 0.023). This paper concludes by arguing that poor sleep quality is highly prevalent among medical students in Rwanda, with final and first-year students reporting the poorest sleep quality. There were significant differences across classes in the global PSQI, subjective sleep quality, habitual sleep efficiency, and daytime dysfunction. Intervention approaches such as sleep education, behavioral changes, and relaxing techniques are recommended to address contributing factors and ultimately maximize the academic goals of Rwandan medical students.

Factors Associated with Poor Sleep among Young People in Mauritius: A Survey-Based Study

Background: Poor sleep quality in young people is a global concern. This study was conducted to explore sleep quality and its contributory factors in young people of Mauritius. Methods: This cross-sectional study comprised 202 participants aged between 14 to 29 years. The Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS) and the Adolescent Sleep Hygiene Scale (ASHS) were used to measure sleep quality, daytime sleepiness, and sleep hygiene respectively. Chi-squared tests were conducted to evaluate relationships between the collected variables. Multivariate logistic regression was used to identify associated factors with poor sleep quality. Results: The mean global PSQI was 4.81 (95%CI: 4.4, 5.22). Prevalence of poor sleep quality (global PSQI score > 5) was 30.7%. The male gender reported better sleep (p=0.008). Sleep quality was significantly associated with longer sleep duration (p<0.0001), pre-bedtime relaxing activities (p=0.01), and daytime physical exercise (p=0.001). In contrast, alcohol consumption after 18:00 (p<0.0001), tobacco smoking after 18:00 (p<0.0001), pre-bedtime awakening activities (p=0.001), and poor sleep environment (p<0.0001) negatively influenced sleep quality. Multivariate logistic regression confirmed that female gender and sleep environment factors were associated with higher likelihood of poor sleep quality, while participants with longer duration of sleep (>7 hours), cognitive/emotional and sleep stability factors were found to be less likely to have poor sleep quality. Conclusion: This study showed that the prevalence of poor sleep in young people in Mauritius was 30.7%. Female gender and sleep environment factors were main contributory factors. These initial results can guide further research on sleep quality

"Sleep Quality and Depression Level in Nurses in COVID-19 Pandemic"

The COVID-19 spread rapidly all over the world and pandemic process has negatively affected nurses. Sleep disorders and depression are among these negative effects. Managers' awareness of problems experienced by nurses and taking precautions will increase employee and patient satisfaction and provide quality patient care. The study was conducted in descriptive, cross-sectional and correlational design to explain nurses' sleep quality and depression levels and relationship between them during the COVID-19 pandemic with 142 nurses who completed Personel Information Form, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Index (BDI). Sleep quality of nurses (64.8%) was poor, 33.1% had depression, and high school education, having a chronic illness and PSQI score increased the risk of depression level of nurses. Results highlight COVID-19 pandemic affected nurses' sleep quality and depression levels. All managers should be pioneers in providing psychological support to nurses and preparing and implementing a program for prevention of insomnia and depression.

Current Cigarette Smoking Is Associated With a High Seizure Frequency and Anxiety Symptoms in People With Epilepsy

Purpose

This study aims to answer the following questions: how many people with epilepsy (PWE) have cigarette smoking habits? Which demographic or clinical characteristics are associated with cigarette smoking? Is cigarette smoking related to depressive and anxiety symptoms in PWE?

Methods

A total of 524 PWE were included in the final analysis. Demographic and clinical data were gathered and recorded. Smoking status was identified. The associations of smoking status with the clinical features of epilepsy and depressive and anxiety symptoms were evaluated by logistic regression models.

Results

The overall prevalence of cigarette smoking was 23.5% (123 PWE) in this sample. In the multivariate logistic regression model, men (adjusted OR = 10.414, 95% CI: 5.552–19.535, P &lt; 0.001), high seizure frequency (adjusted OR = 1.474, 95% CI: 1.043–2.084, P = 0.028), and anxiety symptoms (adjusted OR = 2.473, 95% CI: 1.483–4.112, P = 0.001) were shown to have independent associations with cigarette smoking in PWE.

Conclusion

Our findings suggested that the overall prevalence of cigarette smoking was 23.5% in adults with epilepsy, which is slightly lower than that (26.6%) in general adults in China. In the present study, cigarette smoking was associated with men, high seizure frequency, and anxiety symptoms in PWE. Further prospective clinical studies with larger sample sizes are required to confirm our findings.

The relationship between poor sleep quality measured by Pittsburgh Sleep Quality Index and cigarette smoking according to sex and age

OBJECTIVES

Multiple studies have found that cigarette smokers are more likely to experience sleep disturbances than non-smokers. This study aimed to examine various associations between smoking and sleep quality according to sex and age, which have yet to be sufficiently examined in prior studies.

METHODS

Data analysis was conducted using a nationally representative sample of 224,986 Korean adults who participated in the 2018 Korea Community Health Survey. Sleep quality, as the dependent variable, was measured using the Pittsburgh Sleep Quality Index (PSQI), with PSQI scores indicating either good (≤4 points) or poor (>5 points) sleep quality. Multiple logistic regression analysis was performed considering socio-demographic factors, health behaviors, comorbidities, and psychological factors as covariates.

RESULTS

The overall weighted prevalence of poor sleep quality was 39.4% (95% confidence interval, 39.1 to 39.7). In the multivariate model that excluded psychological factors, poor sleep quality positively correlated to smoking for both sexes and all age groups except for male aged ≥65 years. However, in the full model that included psychological factors, statistically significant odds ratios (approximately 1.5) for poor sleep quality according to smoking status were only observed for female under 65 years of age.

CONCLUSIONS

The relationship between poor sleep quality and smoking status differed according to sex and age. In order to improve the quality of sleep, it is necessary to intervene smoking cessation along with solving psychological problems, especially female in middle age and younger.

Sleeping, Smoking, and Kidney Diseases: Evidence From the NHANES 2017-2018

Study Objectives: Smoking and sleep are modifiable factors associated with the chronic kidney diseases. However, the interaction of smoking and sleep on the renal function are still unclear. Therefore, we aimed to evaluate the interactive impacts of smoking and sleep on the renal function. Methods: Data were obtained from the National Health and Nutrition Examination Survey. The study population were categorized into nine subgroups by smoking (smoking every day, sometimes, and non-smokers recently) and sleep duration (short duration ≤ 6 h, normal duration 6-9 h, and longer duration ≥ 9 h on the weekdays). Results: The study group with a short sleep duration had significantly higher serum cotinine and hydrocotinine levels compared with the other two sleep groups. After adjusting the demographic characteristics (age, race, body mass index, and marital status), sleep quality (snoring or breathing cessation), and comorbidities (diabetes mellitus, hypertension, high cholesterol, anemia, congestive heart failure, coronary heart disease, and stroke), non-smokers with short or long sleep duration had significant lower estimated glomerular filtration rate (eGFR) levels than the study group who smoked every day and slept ≤ 6 h. The effects of sleep duration on eGFR levels varied with smoking status. For the study group smoking every day, eGFR levels increased as sleep duration decreased, whereas for the study group smoking sometimes, eGFR levels increased as sleep duration increased. The U-shaped effects of eGFR levels were observed among non-smokers whose normal sleep duration was associated with better eGFR levels. Normal sleep duration was an important protective factor of the renal function for non-smokers than smokers. Conclusions: The effects of sleep duration on eGFR levels varied with smoking status. Normal sleep duration was a protective factor and more crucial for non-smokers than for smokers.

Cigarette use, anxiety, and insomnia from adolescence to early adulthood: A longitudinal indirect effects test

BACKGROUND

Cigarette use during adolescence has been linked to increased risk for insomnia symptoms, but limited work has examined factors that may account for this association. Adolescent cigarette use and anxiety symptoms characterized by physiological hyperarousal evidence bidirectional associations, as do anxiety symptoms and insomnia symptoms. This suggests that adolescent cigarette use, anxiety symptoms characterized by physiological hyperarousal, and insomnia symptoms may increase and maintain one another. The current study tests physiological hyperarousal anxiety symptoms as a potential indirect effect in the cigarette-insomnia symptoms link across adolescence and young adulthood.

METHODS

We examined data from adolescents and young adults from Waves 1, 2, 3 and 4 of the National Longitudinal Study of Adolescent to Adult Health (N = 2,432 with full data). Insomnia symptoms were assessed at baseline (ages 12-16 years), 1 year later (13-17 years), and 14 years after baseline (26 - 30 years) among a nationally representative sample of adolescents. Cigarette use was assessed at baseline, 1 year later, 6 years after baseline, and 14 years after baseline. Anxiety symptoms were assessed at baseline and 1 year later.

RESULTS

Structural equation models indicated that anxiety symptoms exerted an indirect effect on the longitudinal associations between adolescent cigarette use and adult insomnia symptoms. Anxiety symptoms and cigarette use evidenced bidirectional associations during adolescence.

CONCLUSIONS

These results suggest that increases in anxiety symptoms characterized by physiological hyperarousal may be one mechanism whereby cigarette use during adolescence is associated with increased insomnia symptoms during early adulthood. Prevention efforts aimed at reducing cigarette use during adolescence may have long term additional benefits for anxiety symptoms and insomnia symptoms.

Influence of excessive daily sleeping and sleep quality on BDNF and NGF serum levels in adolescents

INTRODUCTION

The brain-derived neurotrophic factor (BDNF) and neural growth factor (NGF) are widely expressed in the brain and play an important role in neuroplasticity, neurogenesis, and increased neuronal connections. Previous studies have shown that reduced serum levels of these proteins are associated with disorders in human sleep.

OBJECTIVE

Current study evaluates the prevalence in adolescents of excessive daytime sleepiness (EDS) and sleep quality, and analyzes the influence of these factors on BDNF and NGF serum levels.

METHODS

A cross-section population-based study was conducted with data from a Brazilian birth cohort, with a sample of five hundred and thirteen 18-19-year-old adolescents. Sleep quality was assessed by the Pittsburgh Sleep Quality Index and EDS by Epworth Sleepiness Scale. Neurotrophins serum levels were measured by Luminex™ technology kits. Analysis consisted of marginal structural models which compared people who were exposed and not exposed to sleep quality and EDS.

RESULTS

Poor sleep quality and EDS were detected in 62.57% and 36.35% of the sample. Adolescents with poor sleep quality and EDS had -0.39 (p-value = 0.049) and -0.51 pg/ml in NGF (p-value = 0.009). Individuals with self-reported sleep disorder had lower serum levels of NGF (Coef. -0.41, p-value = 0.045).

CONCLUSION

High prevalence of EDS and low sleep quality in a population of adolescents were evidenced. Poor sleep quality and EDS were associated with lower NGF levels, whilst adolescents with self-reported sleep disorder had lower serum levels of NGF.

Changes in fruit and vegetable consumption in relation to changes in sleep characteristics over a 3-month period among young adults

OBJECTIVE

To evaluate whether increases in fruit and vegetable (FV) consumption were associated with concomitant changes in insomnia symptoms, sleep duration, and quality.

DESIGN

Secondary longitudinal analysis of a randomized trial, baseline to 3 months.

SETTING

Integrated health care systems in Detroit, Michigan and Danville, Pennsylvania.

PARTICIPANTS

About 1165 young adults who were low consumers of FV (<3 servings/day) at baseline.

INTERVENTION

Online 3-arm program designed to increase FV consumption.

MEASUREMENTS

We categorized FV changes into 4 categories: no change or decrease, 1 serving increase, 2 serving increase, and 3 or more serving increase. We then compared the changes in chronic insomnia classification (yes or no), sleep duration, quality, and time to fall asleep (all self-reported) across the FV change categories. Analyses were both overall and stratified by gender, adjusting for potential confounders (depression, physical activity, education, children, and study site).

RESULTS

Average age ± SD was 26 ± 2.8 years (71% women). At 3-month follow-up, participants on average increased FV intake by 1.2 ± 1.4 servings. Women who increased FV intake by 3+ servings showed improvements in insomnia symptoms (2-fold higher odds of improvement; 95% CI 1.1 to 3.6), sleep quality (0.2-point higher sleep quality score; 95% CI -0.01, 0.3), and time to fall asleep (4.2 minutes; 95% CI -8, 0) compared to women who did not change or decreased their FV intake. Associations were not as apparent among men.

CONCLUSION

Young women with low consumption of FV may experience improvements in insomnia-related sleep difficulties by increasing their consumption of FV.

Sleep Duration and Quality in Relation to Fruit and Vegetable Intake of US Young Adults: a Secondary Analysis

BACKGROUND

Sleep is gaining recognition as a determinant of diet, yet this relationship remains understudied among young adults. We sought to examine how sleep duration and quality were related to fruit and vegetable (FV) intake within a diverse sample of young adults.

METHODS

Participants (n = 1444) ages 21-30 (69% women, 15% African American, 35% full or part time in college) consuming < 5 servings/day of FV (eligibility criteria) completed a baseline survey to enroll in a randomized online FV intervention. Sleep questions included duration, perceived sleep quality, time to fall asleep, and insomnia symptoms. Overall and gender-stratified linear regression models compared average daily FV intake and sleep characteristics, adjusting for confounders.

RESULTS

One-third (32%) of the participants reported < 7 h of sleep per night, and 36% noted insomnia symptoms ≥ 3 times per week. Women, a BMI > 30, African American race/ethnicity, less education, unemployment, higher depression, and stress were related to suboptimal sleep. Bivariate analyses showed that better sleep was associated with higher FV intake. After accounting for confounders, men with better sleep quality and shorter time to fall asleep had higher intakes of FV (1.12 serving/day difference in highest versus lowest quality [95% CI 0.48, 1.75] and a 0.52 serving/day higher intake difference for shortest versus longest fall asleep time [95% CI 0.90, 0.15], respectively).

CONCLUSION

Sleep was highly prevalent in a diverse sample of community-based young adults and may contribute to lower FV intake among men. These associations highlight young adulthood as an important period for promoting healthy sleep habits.

Sleep Quality Associated with Habitual Physical Activity Level and Autonomic Nervous System of Smokers

BACKGROUND

Few studies have examined the relationship of one's habitual physical activity level and autonomic nervous system (ANS) modulation on sleep quality in smokers.

OBJECTIVE

The aim of this study was to identify changes in the sleep quality of smokers and its relation with their habitual physical activity level and ANS modulation.

METHODS

Forty-two smokers were divided into two groups according to the 50th percentile of the moderate-to-vigorous physical activity (MVPA). Sleep quality was assessed using the Mini-sleep Questionnaire, and ANS modulation was assessed by indices of heart rate variability (HRV). To examine the possible mean differences, the analysis of covariance (ANCOVA) was used, adjusted for age, sex, body composition, pack-years, beta-blockers, anxiety, and depression in log base 10, not including qualitative data, such as sex and beta-blockers. Correlations were made by using the Spearman rank correlation. The statistical significance was set at 5.

RESULTS

The smokers who were less active showed poor sleep quality (p=0.048) and insomnia (p=0.045). Furthermore, the less active group presented decreased parasympathetic modulation [HF (un; p=0.049); RMSSD (ms; p=0.047) and SD1 (ms; p=0.047)] and an increased LF (un) index (p=0.033) and LF/HF ratio (p=0.040). A positive correlation between the total Mini-sleep score with LF (un) index (r=0.317, p=0.041) and LF/HF ratio (r=0.318, p=0.040) and negative correlation with HF (un) index (r= -0.322, p=0.038).

CONCLUSIONS

Smokers with lower levels of habitual physical activity showed poor sleep quality and alterations in autonomic nervous system modulation; (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0).

Passion for an activity: a new predictor of sleep quality

STUDY OBJECTIVES

The present research examines the relationship between people's frequent involvement in an activity they like and find important (i.e., a passion) and the quality of their sleep. Research on the dualistic model of passion has widely documented the relationship between individuals' type of passion-harmonious versus obsessive-and the quality of their mental and physical health. However, research has yet to examine the relationship between passion and sleep quality. Building on prior research has shown that obsessive (vs harmonious) passion is related to depressive mood symptoms-an important factor associated with sleep problems-we hypothesized that obsessive passion would be associated with overall worse sleep quality, whereas harmonious passion would predict better sleep quality.

METHODS

A sample of 1,506 Americans filled out an online questionnaire on sleep habits and passion. Sleep quality was measured using the Pittsburgh Sleep Quality Index. Hierarchical linear regressions and mediation analyses were carried out with results confirming our hypotheses.

RESULTS

Obsessive passion for an activity was associated with worse sleep quality, whereas harmonious passion was associated with better sleep quality, adjusting for demographics, the type of passionate activity and its self-reported importance, alcohol and tobacco consumption, BMI, self-reported health, and diagnosed health conditions. The relationship between both types of passion and sleep quality was mediated by depressive mood symptoms.

CONCLUSIONS

Our study presents evidence of a strong relationship between sleep quality and passion, opening the door for future research to create new interventions to improve people's sleep and, consequently, their well-being.

Tobacco use and sleep loss over worry among adolescents aged 12-15 years: A population-based study of 38 countries

BACKGROUND

Sleep loss is increasingly recognized as a key public health issue among adolescents. Tobacco use is one of the leading causes of preventable disease and death in the world. Yet, the association between tobacco use and sleep loss has been understudied in the adolescent population. This study aimed to examine this association utilizing nationally representative samples of adolescents.

METHODS

Cross-sectional data on 109 408 adolescents (12-15 years) from 38 countries were derived from the Global School-based Student Health Survey (GSHS). Weighted age- and sex-adjusted distribution of each sample characteristics was calculated. Multivariate logistic regression and meta-analyses were performed to assess the association of sleep loss over worry with any tobacco use, while controlling for important confounders, including age, gender, loneliness, physical attack victimization, parental knowledge/warmth, and perceived peer kindness/helpfulness.

RESULTS

The weighted age- and sex-adjusted prevalence of SLOW and use of any tobacco product was 6.4% and 7.4% respectively across 38 countries. The overall odds of sleep loss over worry were 1.89 times (95% confidence interval (CI) = 1.75, 2.03) greater among tobacco users than among non-users, with low level of between-country heterogeneity (I2  = 24.0%, P = 0.095). The odds of sleep loss over worry were 1.61 times (95% CI = 1.52, 1.71) greater among those reporting physical attack victimization than among non-victims, and 5.55 times (95% CI = 4.95, 6.21) greater among those reporting frequent than less frequent loneliness.

CONCLUSIONS

Tobacco use, physical attack victimization, and loneliness can be key indicators of SLOW, and may be included in the assessment and prevention of SLOW to generate a more comprehensive picture. Further studies are needed to determine if reducing tobacco use, loneliness, or physical attack victimization would make a meaningful impact on reducing SLOW.

Sleep Disturbance in Indonesia: How Much Does Smoking Contribute?

Objective: To examine the linkage between smoking and sleep disturbance in Indonesia Methods: This study used data from the 2014 Indonesia Family Life Survey (IFLS), drawn from a sample of 38,879 individuals from 15,067 households living in 262 communities. Sleep disturbance was measured by ten validated indicators of sleep quality and sleep deprivation adopted from the PROMIS (Patient Recorded Outcomes Measurement Information System), developed by the USC Center for Economic and Social Research (CESR), USA. Hierarchical ordered logistic regression was used to account for unobserved factors in village communities. Results: In 2014, the prevalence of smoking in Indonesia remained high at thirty-two percent of the population, or about ninety million active smokers. Nearly half of smokers were young adult males. Eight of every ten males who reported sleep disturbance were smokers. Current smokers' odds of facing sleep disturbance were almost one-and-one-half times higher than those of nonsmokers (OR = 1.39, p-value < 0.01), and among heavy smokers, the odds were almost double (OR = 1.91, p-value < 0.01). These findings were controlled for stressors, chronic diseases, social support and sociodemographic characteristics as well as unobserved factors in village communities. Conclusion: The substantial relationship between smoking and sleep disturbance suggests that policies that address the issue of sleep disturbance through preventing tobacco use among young adults should be a public health priority in Indonesia.

Assessing the effect of nicotine dose in cigarette smoking on sleep quality

BACKGROUND

While several studies assessed the relation between cigarette smoking and sleep, there are still very few studies assessing the effect of nicotine in cigarette smoking on sleep.

AIM

This study aimed to compare higher vs lower nicotine levels in cigarette smoking on sleep quality.

METHODS

We used data from the recently released dataset for the Randomized Trial of Reduced-Nicotine Standards for Cigarettes. We included three groups in the current study: the least nicotine concentration (i.e., 0.4 mg/g), a moderate nicotine concentration (i.e., 5.2 mg/g), and the highest nicotine concentration (i.e., 15.8 mg/g). For each participant, we included data regarding baseline and the last follow up at 6 weeks, where we compared insomnia, sleep problems, and awakening at night, in addition to different depression and affect scores.

RESULTS

A total of 360 patients were included in this study, with a mean age of 42.4 (±13.4) years. For the three nicotine groups (i.e., 0.4 mg/g, 5.2 mg/g, and 15.8 mg/g), we included 119 (33%), 122 (34%), and 119 (33%) participants. Among the high-nicotine-dose group, the number of participants who had worsened sleep was significantly higher than the number of those who had improved sleep (p = 0.01) after 6 weeks of consumption, where 37 (31%) had worsened sleep score after 6 weeks while only 19 (16%) had improved score compared with baseline.

CONCLUSION

While previous studies established a relation either between cigarette smoking and sleep or between nicotine patches and sleep, the present study is the first to establish that higher nicotine doses in cigarettes were associated with more sleep disturbances.

Active smoking, sleep quality and cerebrospinal fluid biomarkers of neuroinflammation

BACKGROUNDS

Cigarette smoking has been shown to be associated with sleep disorders and the related neuropathogenesis including neuroinflammation. Previous studies showed that pro- and anti-inflammatory cytokines are physiologically important in maintaining circadian function. In addition, sleep deprivation leads to immune dysregulations. However, no study has been published yet by using cerebrospinal fluid (CSF) biomarkers of neuroinflammation to investigate the relationship between active cigarette smoking and sleep disorders.

METHODS

CSF tissues from subjects of 191 male subjects (non-smokers n = 104; active smokers n = 87) receiving local anesthesia before surgery for anterior cruciate ligament injuries were obtained after the assessment of clinical information and Pittsburgh Sleep Quality Index (PSQI). The levels of tumor necrosis factor alpha (TNFα), Interleukin (IL) 1 beta (IL1β), IL2, IL4, IL6 and IL10 were measured using radioimmunoassay and ELISA.

RESULTS

PSQI scores were significantly higher in active smokers than that in non-smokers (p < 0.001, Cohen's d = 0.63). Significantly higher levels of CSF TNFα were found in active smokers compared to non-smokers (28 ± 1.97 vs. 22.97 ± 2.48, p < 0.05, Cohen's d = 2.23). There was a positive correlation between CSF IL1β levels and PSQI scores in non-smokers (r = 0.31, p = 0.01, adjustment R-Squared = 0.11).

DISCUSSION

This is the first study to reveal the association between higher CSF TNFα levels and poorer sleep quality in active smoking. In addition, CSF IL1β levels might be a potential biomarker in central nervous system for circadian dysregulation.

Prevalence and Clinical Picture of Sleep Paralysis in a Polish Student Sample

Sleep paralysis (SP) is a psychobiological phenomenon caused by temporary desynchrony in the architecture of rapid eye movement (REM) sleep. It affects approximately 7.6% of the general population during their lifetime. The aim of this study was to assess (1) the prevalence of SP among Polish students in Lublin (n = 439) using self-reported online surveys, (2) the frequency of SP-related somatic and psychopathologic symptoms, and (3) the factors potentially affecting the occurrence of symptoms among people experiencing SP. We found that the incidence of SP in the Polish student population was slightly higher (32%) than the average prevalence found in other student populations (28.3%). The SP clinical picture was dominated by somatic symptomatology: 94% of respondents reported somatic symptoms (most commonly tachycardia, 76%), 93% reported fear (most commonly fear of death, 46%), and 66% reported hallucinations (most commonly visual hallucinations, 37%). The number of SP episodes was related to sleep duration and supine position during sleep. The severity of somatic symptoms correlated with lifestyle variables and anxiety symptomatology. Our study shows that a significant proportion of students experience recurrent SP and that this phenomenon is associated with fear and physical discomfort. The scale of the phenomenon requires a deeper analysis.

The Interplay Between Tobacco Dependence and Sleep Quality Among Young Adults

Objective/Background: Sleep disturbances are considered among the negative consequences of smoking. However, the relationship between sleep quality and smoking among young adults, a population in which the prevalence of smoking is highest, has scarcely been examined. The current study aimed at examining differences in sleep indices, assessed by both subjective and objective (actigraphy) measures, between smokers and nonsmokers, and whether such differences are associated with levels of nicotine dependence. Participants: Eighty-six young (19-28 years old) volunteers, of them 46 nonsmokers (69.6% women) and 40 regular smokers (70.0% women) smoking at least 10 cigarettes a day. Methods: The participants completed the State-Trait Anxiety Inventory, Beck Depression Inventory, Brief Questionnaire on Smoking Urges, the Fagerstrom Test for Nicotine Dependence, and the Pittsburgh Sleep Quality Index. Their sleep was monitored objectively for one week using an actigraph. Results: Smokers' self-reported sleep quality was similar to that of nonsmokers. However, actigraphy data pointed to lower sleep continuity in smokers compared to nonsmokers as reflected by increased wake time after sleep onset (Mean ± SD: 18.56 ± 15.29 vs. 11.21 ± 11.19, p < .01) and decreased sleep efficiency (Mean ± SD: 95.63 ± 3.53 vs. 97.23 ± 2.62, p < .012). Total sleep time and sleep onset latency did not differ between the groups. Notably, severity of nicotine dependence was negatively associated with sleep efficiency (β = -.32; p < .05). Conclusion: Young adult smokers have lower sleep continuity without necessarily subjectively experiencing their sleep as poor. Nevertheless, their lower sleep continuity is related to their level of nicotine dependence.

The Association of Sleep Duration and the Use of Electronic Cigarettes, NHANES, 2015-2016

Introduction. The unknown effects of electronic cigarettes are public health concerns. One potential effect of electronic cigarette fluid constituents, such as nicotine, may influence sleep. The purpose of this study is to determine if there is an association between sleep duration and electronic cigarette use.

Methods

A retrospective, cross-sectional study was conducted using National Health and Nutrition Examination Survey (NHANES) 2015-2016. Variables of interest included responses to questions concerning electronic cigarette use, hours of sleep, and other variables associated with sleep. Data analyses were conducted with the Rao-Scott chi square test and logistic regression.

Results

This study was conducted on 2889 participants, aged 18-65 years, of whom 50.7% were female. Using a bivariate analyses of electronic cigarette usage and sleep duration, participants who never used an electronic cigarette were more likely to have appropriate sleep durations as compared with participants who were currently using electronic cigarettes (P < 0.0001). After adjusting for sociodemographic variables and cigarette smoking, current electronic cigarette use was associated with higher odds of less sleep duration (adjusted odds ratio = 1.82; 95% CI: 1.18, 2.79; P < 0.0001). After adjusting for sociodemographic variables and cigarette smoking, current electronic cigarette use was associated with higher odds of less sleep duration (adjusted odds ratio = 1.82; 95% CI: 1.18, 2.79.

Conclusions

Participants currently using electronic cigarettes are more likely to have less sleep as compared to participants who have never used electronic cigarettes. Implications. With sleep time duration being a major factor for proper body function and repair, this study can serve as confirmation that the use of electronic cigarettes is not a harmless health behavior.

Gender differences in the relationships between sleep disturbances and academic performance among nursing students: A cross-sectional study

BACKGROUND

Sleep disturbances, such as insomnia, excessive daytime sleepiness, and poor-quality sleep, are common among nursing students and are closely linked with academic performance.

OBJECTIVES

To examine the prevalence of sleep disturbances and academic performances in male and female nursing students and to determine gender-specific effects on the relationship between sleep disturbances and academic performance.

DESIGN

A cross-sectional study design was adopted.

SETTINGS

This study was conducted in a school of nursing in Indonesia.

PARTICIPANTS

A total of 492 undergraduate students (103 males and 389 females) were included.

METHODS

Data pertaining to the biosociodemographic characteristics, Pittsburgh Sleep Quality Index, Insomnia Severity Index, Epworth Sleepiness Scale, Morningness-Eveningness Questionnaire, and Beck Depression Inventory were collected from July 1, 2018 to September 30, 2018. Academic performance was measured using grade point average of the academic year 2017-2018. A multivariate logistic regression model was used for data analyses.

RESULTS

The prevalence of poor sleep quality, insomnia, and daytime sleepiness was 66.0%, 45.6%, and 24.3%, respectively, in male nursing students and 71.5%, 52.4%, and 28.8%, respectively, in female nursing students. For circadian rhythm preferences, 66% male and 51.7% female nursing students were categorized as intermediate- and morning-type people, respectively. Insomnia was the only variable among sleep disturbances that significantly correlated with the risk of poor academic performance in female nursing students even after adjustment of covariates.

CONCLUSIONS

Sleep disturbances were highly prevalent among female and male nursing students, and insomnia was substantially associated with poor academic performance in female nursing students. Identifying sleep disturbances among nursing students and designing effective interventions to specifically target them are required to improve academic performance of female nursing students.

Association of Cigarette Smoking with Sleep Disturbance and Neurotransmitters in Cerebrospinal Fluid

BACKGROUND

Cigarette smoking has shown to be associated with sleep disturbance, especially prolonged sleep onset latency (SOL). Cigarette smoking stimulates the release of dopamine (DA) and serotonin (5-HT), which might promote awakening and inhibit rapid eye movement sleep. Dopamine transporter (DAT) and serotonin transporter play a key role in the reuptake of DA and 5-HT from the synaptic cleft into presynaptic neurons. However, the relationship among cigarette smoking, sleep disturbance and neurotransmitters has never been investigated in human cerebrospinal fluid (CSF).

METHODS

A total of 159 Chinese male subjects (81 active smokers and 78 non-smokers) who would undergo lumbar puncture before the surgery of anterior cruciate ligament reconstruction were recruited and 5mL-CSF samples were collected incidentally. CSF levels of DA, DAT, 5-HT, and serotonin transporter were measured using radioimmunoassay and ELISA. Sociodemographic data and the Pittsburgh Sleep Quality Index (PSQI) scale were collected before surgery.

RESULTS

PSQI global scores, SOL, and CSF DA levels were significantly higher in active smokers compared to non-smokers (2.00 [1.00-4.75] scores vs 4.00 [3.00-6.00] scores, p = 0.001; 10.00 [5.00-15.00] minutes vs 15.00 [10.00-30.00] minutes, p = 0.002; 87.20 [82.31-96.06]ng/mL vs 107.45 [92.78-114.38] ng/mL, p < 0.001), while CSF DAT levels were significantly lower in active smokers (0.35 [0.31-0.39] ng/mL vs 0.29 [0.26-0.34] ng/mL, p < 0.001).

CONCLUSION

Cigarette smoking was indeed associated with sleep disturbance, shown by prolonged SOL, higher DA levels and lower DAT levels in CSF of active smokers.

The Relationship between Alcohol Craving and Insomnia Symptoms in Alcohol-Dependent Individuals

AIM

This preliminary investigation evaluated the link between alcohol craving and insomnia in actively drinking patients with alcohol dependence (AD).

METHODS

We conducted a secondary analysis of data from a clinical trial of treatment-seeking patients with AD who drank heavily (N = 61). The Penn Alcohol Craving Scale (PACS) evaluated alcohol craving, and the Short Sleep Index (SSI) assessed insomnia symptoms. We used linear regression models for baseline cross-sectional assessments. Linear mixed effects regression models evaluated craving scores longitudinally across insomnia groups (+/-), and insomnia scores longitudinally across craving groups(high/low). These longitudinal analyses were conducted separately in those treated with placebo (N = 32) and quetiapine (N = 29).

RESULTS

The mean (standard deviation) for PACS total score was 15.9 (8.5) and for SSI was 2.1 (2.3). Alcohol craving was associated with the insomnia symptom of difficulty falling asleep (P = 0.03; effect size = -0.7) and with the SSI total score (P = 0.04, effect size = -0.7). In the longitudinal analysis, insomnia+ subjects had consistently higher PACS total scores, relative to the insomnia- group. The PACS score demonstrated significant group × time interactions in both treatment groups. Insomnia+ individuals demonstrated a relatively steeper rate of decline in the craving with quetiapine treatment (P = 0.03). Insomnia- individuals in the placebo group demonstrated a transient reduction in craving until week 8, followed by an increase in scores(P = 0.004). The SSI score did not demonstrate any interactive effect over time across the craving groups in either treatment arm.

CONCLUSION

Insomnia was associated with higher alcohol craving and quetiapine differentially reduced craving in those with insomnia.

Sleep quality in cigarette smokers: Associations with smoking-related outcomes and exercise

INTRODUCTION

Compared to the general population, cigarette smokers report poorer sleep quality. Poor sleep quality in cigarette smokers is associated with greater nicotine dependence. While exercise is known to improve sleep quality in the general population, less is known about how exercise effects sleep in those who smoke. The goal of this study was to explore the relationships between exercise, sleep, and smoking in cigarette smokers.

METHODS

Data on sleep quality (Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI)), smoking-related outcomes (e.g., cigarettes/day, Fagerstrom Test for Nicotine Dependence, Minnesota Nicotine and Withdrawal Scale, and Questionnaire of Smoking Urges) and exercise (Fitbit activity measures) were collected for 32 participants (63% female, mean age 30.3 ± 1.0 years) participating in a 12-week clinical research study. Analyses included simple linear regression models.

RESULTS

Overall, participants reported poor sleep quality at baseline (PSQI > 5). Poorer sleep quality at baseline was associated with increased withdrawal (β = 1.63 ± 0.53, p = 0.0043), craving (β = 0.51 ± 0.43, p = 0.2471), and total smoking urges (β = 1.10 ± 0.41, p = 0.0118). During follow-up (i.e., from baseline to week 12), a daily increase in exercise was associated with improved sleep quality over the same time period (PSQI: β = -0.82 ± 0.35, p = 0.0379).

CONCLUSION

Our data suggest that better sleep quality may be associated with lower levels of withdrawal, craving, and smoking urges. Further, exercise may be associated with better sleep quality in cigarette smokers. Future work should explore how increasing exercise and improving sleep quality could inform future smoking cessation interventions.

Time to First Cigarette and the Risk of Hypertension: A Nationwide Representative Study in Korea

BACKGROUND

Although previous studies have explored the effect of smoking on blood pressure, little is still known about the role of time to first cigarette (TTFC)-an indicator of nicotine dependence-in hypertension. Therefore, we evaluated this association using representative nationwide data.

METHODS

Current daily smokers (N = 941; aged 19-79 years) who participated in the 7th version of the Korea National Health and Nutrition Examination Survey I (2016) were included. We categorized participants into 4 groups according to their TTFC. Furthermore, we categorized participants into hypertensive and nonhypertensive groups based on whether they were taking antihypertensive medications or had high blood pressure (≥140/90 mm Hg). The association of daily TTFC and hypertension was examined without adjusting for any covariates; after adjusting for smoking behaviors; and after adjusting for demographic characteristics, socioeconomic status, health-related behaviors, and comorbidities.

RESULTS

In the fully adjusted weighted regression analysis, participants reporting TTFC ≤ 5 minutes (vs. >60 minutes) had roughly twice the odds of having hypertension (95% confidence interval [CI] = 1.07-4.16) and the adjusted odds ratios compared with TTFC of >60 minutes were 1.53 (95% CI = 0.81-2.86) for 6-30 minutes and 1.31 (95% CI = 0.68-2.50) for 31-60 minutes (Ptrend = 0.03).

CONCLUSIONS

Hypertension risk increases with shorter TTFC. Especially, TTFC of ≤5 minutes may prove valuable in assessing the risk of hypertension. Screening smokers based on their TTFC might be useful in assessing their risk of hypertension and smoking cessation programs.

Risk factors for nicotine dependence in Chinese patients with lung cancer

Objective

Smoking is a poor prognostic factor for lung cancer. Nicotine dependence remains the major cause of failure of smoking cessation. We investigated the risk factors for nicotine dependence in patients with lung cancer.

Methods

Eligible patients were identified from November 2014 to February 2015. Age, marital status, educational level, annual household income, occupation, histology of lung cancer, tumor stage, smoking status, neuron-specific enolase (NSE) level, drive gene mutations, sleep quality, and patient personality were assessed. Physical nicotine dependence was assessed by the Fagerstrom Test for Nicotine Dependence (FTND).

Results

In total, 202 smokers were included in this study. Univariate analysis showed that marital status and pain were significantly correlated with nicotine dependence. Pearson’s correlation analysis showed that age at the initiation of smoking, attempts to quit, NSE level, and sleep quality were significantly correlated with FTND scores.

Conclusions

Pain, more attempts to quit, and poorer sleep quality were significantly associated with nicotine dependence. These risk factors could help to prevent smoking in Chinese patients with lung cancer.

Lack of correlation between CSF glutamate levels and PSQI scores in heavy smokers

OBJECTIVE

Glutamate is an excitatory neurotransmitter in the central nervous system that participates in initiation and maintenance of sleep and wakefulness. The mechanisms involved occur in the brainstem, lateral hypothalamus, and basal forebrain. Our previous study suggested that higher levels of glutamate in cerebrospinal fluid (CSF) contributed to poorer sleep quality. Smoking has been shown to be harmful to sleep quality. In the present study, we recruited non-smokers and heavy smokers and measured the concentration of CSF glutamate in order to investigate the associations among smoking status, sleep quality, and CSF glutamate levels.

METHODS

We recruited 147 men (n = 68 non-smokers, 30.31 ± 9.10 years; n = 79 heavy smokers, 34.54 ± 10.71 years). Glutamate concentrations in CSF were measured by spectrophotometry, and subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI).

RESULTS

PSQI total scores were significantly higher in heavy smokers than that in non-smokers (p < 0.001). Glutamate concentrations in CSF were lower in heavy smokers than that in non-smokers (p < 0.001). CSF glutamate levels positively correlated with PSQI total scores in the non-smokers group (r = 0.313, p = 0.011, effect size = 0.324). No correlation was found between CSF glutamate levels and PSQI total scores in the heavy smokers group (p > 0.05). Multivariable linear regression analysis showed that years of smoking was contributed to the PSQI total scores (p = 0.008), and cigarettes smoked per day contributed to the decreased CSF glutamate levels in heavy smokers (p = 0.001).

CONCLUSION

Poorer subjective sleep quality and lower CSF glutamate concentrations were observed in the heavy smokers group than in the non-smokers group. In addition, lack of correlation was observed between CSF glutamate levels and PSQI scores in the heavy smokers.

The relationship between sleep quality and fibromyalgia symptoms

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.

Factor Analysis and Psychometric Properties of the Minnesota Nicotine Withdrawal Scale and the Minnesota Nicotine Withdrawal Scale-Revised: Italian Version

BACKGROUND/AIMS

We run Exploratory and Confirmatory Factor Analyses of the Minnesota Nicotine Withdrawal Scale (MNWS) and of the MNWS-Revised (MNWS-R). Psychometric properties were also explored.

METHODS

Adult Italian smokers, 366 in all, were assessed via the MNWS-R together with rating scales measuring cigarette dependence, alcohol use, anxiety sensitivity and negative affect at baseline and after 3 months.

RESULTS

The MNWS showed good psychometric properties (α = 0.85; rtt = 0.59) and a unidimensional factor structure. The 2-factor model of MNWS-R had the best fit and the factors were labelled psychological symptoms (α = 0.86; rtt = 0.59) and associated somatic features (α = 0.64; rtt = 0.45).

CONCLUSIONS

MNWS showed 1 factor; MNWS-R showed 2 relatively dependent factors. The results need to be replicated in smokers in withdrawal.