Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

Download Full-text

Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

10.20944/preprints202108.0472.v1 ◽

2021 ◽

Author(s):

Sergey Tereshchenko ◽

Edward Kasparov ◽

Marina Smolnikova ◽

Margarita Shubina ◽

Nina Gorbacheva ◽

...

Keyword(s):

Internet Addiction ◽

Daytime Sleepiness ◽

Sleep Problems ◽

Sleep Onset ◽

Russian Language ◽

Sleep Onset Latency ◽

Cross Sectional ◽

Sleep Parameters ◽

Nighttime Sleep

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4,615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

Download Full-text

Links between sleep and body mass index in bipolar disorders: An exploratory study

European Psychiatry ◽

10.1016/j.eurpsy.2014.04.006 ◽

2015 ◽

Vol 30 (1) ◽

pp. 89-93 ◽

Cited By ~ 20

Author(s):

C. Boudebesse ◽

P.-A. Geoffroy ◽

C. Henry ◽

A. Germain ◽

J. Scott ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Sleep Disturbances ◽

Sleep Onset ◽

Bipolar Disorders ◽

Sleep Time ◽

Sleep Efficiency ◽

Sleep Onset Latency ◽

Cross Sectional ◽

Sleep Parameters

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.

Download Full-text

Impact of Digital Monitoring, Assessment and Cognitive Behavioral Therapy on Subjective Sleep Quality, Workplace Productivity and Health Related Quality of Life: Observational Study (Preprint)

10.2196/preprints.13181 ◽

2018 ◽

Author(s):

Yuval Altman ◽

Shuli Eyal ◽

Anda Baharav ◽

Kyle Niejadlik

Keyword(s):

Sleep Problems ◽

Behavioral Therapy ◽

Sleep Onset ◽

Work Productivity ◽

Average Amount ◽

Subjective Sleep ◽

Sleep Parameters ◽

Smart Mobile

BACKGROUND Sleep difficulties negatively impact health, performance and quality of life, as about a third of the general population suffers from at least one insomnia symptom. Recent studies link insomnia with reduced work productivity, resulting in extensive losses for employees, employers and insurers. Cognitive behavioral therapy for insomnia (CBTi) is recommended as first-line treatment for insomnia and the ubiquity of smart mobile devices allows for promising approaches to overcome some of the limitations surrounding it. OBJECTIVE Our aim was to propose a comprehensive sleep solution for smart mobile devices, and to characterize the effects of this solution, while using adequate sample sizes. METHODS Employees of a Fortune-50 company were randomly selected, all with a Pittsburgh Sleep Quality Index (PSQI) larger than 8. Subjects were randomly assigned to either an intervention group (IG, n=247) or a control group (CG, n=249), and were asked to fill several questionnaires, in addition to the PSQI. Questionnaires were completed pre-treatment, post-treatment at six weeks and a follow-up after two months. People in the IG were provided with a sleep assessment and therapy service via a mobile app (SleepRate). De-identified objective and subjective sleep data were acquired on a nightly basis, along with a digital sleep diary. Sleep parameters included sleep onset (SO), wake after sleep onset (WASO), sleep efficiency (SE) and sleep satisfaction (SS). Sleep problems, such as symptoms of insomnia, were detected based on the sleep data and several questionnaires. Subjects in the IG were then offered treatment to address the detected sleep problems. For subjects with symptoms of insomnia, average sleep parameters during the assessment week (AW) were compared to those during the last week in treatment (LW). RESULTS Post-treatment average PSQI was lower for the IG (8.5), compared to that of the CG (10.9, p=.005), as were absenteeism (IG: 0.39%, CG: 1.0%, p=.06) and presenteeism (IG: 15.6%, CG: 21.4%, p=.02). The average amount of healthy days was significantly higher for the IG (22.5 days) compared to that of the CG (18.6 days, p=.005). At follow-up, average PSQI of the IG was significantly lower (7.1) than that of the CG (10.4, p=.005), as well as absenteeism (IG: 0.15%, CG: 0.84%, p=.03) and presenteeism (IG: 11.9%, CG: 23.5%, p=.005), while the average amount of healthy days was significantly higher (IG: 23.8, CG: 19.0, p=.005). For subjects in the IG, subjective SE was significantly higher at LW (89.1±12.3%, mean±SD) compared to that at the AW (87.5±9.8%, p=.025), WASO significantly shortened (AW: 25.7±27minutes, LW: 19.8±18.4minutes, p=.011), as SS increased significantly (AW: 49.2±11.5, LW: 53±15.4, p=.003). CONCLUSIONS The use of a mobile sleep solution improved the subjective sleep perception in the IG and facilitated a substantial increase in work productivity.

Download Full-text

Epidemiologia do Uso de Internet numa População Adolescente e Sua Relação com Hábitos de Sono

Acta Médica Portuguesa ◽

10.20344/amp.8205 ◽

2017 ◽

Vol 30 (7-8) ◽

pp. 524 ◽

Cited By ~ 5

Author(s):

Carla Ferreira ◽

Helena Ferreira ◽

Maria João Vieira ◽

Mónica Costeira ◽

Liliana Branco ◽

...

Keyword(s):

Social Networks ◽

Internet Addiction ◽

Daytime Sleepiness ◽

Internet Use ◽

Sleep Problems ◽

Technological Development ◽

Online Games ◽

Self Report ◽

Cross Sectional ◽

Sleep Alterations

Introduction: In the last decades, the great technological development increased Internet popularity, emerging the concern about its overuse. The objectives of this study were to assess and characterize Internet use in adolescence, determine Internet addiction and clarify its association with sleep disorders and excessive daytime sleepiness.Material and Methods: It was performed an observational, cross sectional and community-based study. The target were students attending 7th and 8th grades, to whom was applied an online self-report questionnaire to assess sociodemographic features, Internet use, Internet dependence, sleep characteristics and excessive daytime sleepiness.Results: A total of 727 adolescents were included with a mean age 13 ± 0.9 years. Three-quarters of teenagers use Internet daily and 41% do it for three or more hours/day, mainly at home. The phone and laptop were the main devices used. Online games and social networks use were the main activities performed. Internet dependence was observed in 19% of adolescents, and it was associated with male gender, social networks use, mainly Twitter and Instagram use, self-perceived sleep problems, initial and middle insomnia and excessive daytime sleepiness (p < 0.05).Discussion: The results confirm the highlight that Internet has in adolescents routine, who prioritize in their use access to social networks and online games, using single devices, less subject to parental control.Conclusion: The Internet addiction rate observed and its association with sleep alterations and daytime sleepiness emphasizes the importance of this issue.

Download Full-text

The Association between Sleep and Chronic Spinal Pain: A Systematic Review from the Last Decade

Journal of Clinical Medicine ◽

10.3390/jcm10173836 ◽

2021 ◽

Vol 10 (17) ◽

pp. 3836

Author(s):

Eveline Van Looveren ◽

Thomas Bilterys ◽

Wouter Munneke ◽

Barbara Cagnie ◽

Kelly Ickmans ◽

...

Keyword(s):

Systematic Review ◽

Sleep Problems ◽

Adult Population ◽

Spinal Pain ◽

Level Of Evidence ◽

Cross Sectional ◽

Complex Processes ◽

Sleep Parameters ◽

Chronic Spinal Pain

Chronic spinal pain, including both neck and low back pain, is a common disabling disorder in which sleep problems are frequently reported as a comorbidity. The complex processes of both sleep and chronic pain seem to have overlapping mechanisms, which may explain their often established bidirectional relationship. This systematic review aims to investigate the assumed association between sleep and chronic spinal pain by providing an overview of the literature from the last decade. Eligible studies were obtained by searching four databases (PubMed, Embase, Web of Science, and PsycARTICLES). Articles were found relevant if they included a human adult population and investigated the possible association between sleep parameters and chronic spinal pain. Only studies published after January 2009 were included, as this review aimed to provide an update of a previous literature overview on this topic. The quality of the studies was assessed by risk of bias and level of evidence. A total of twenty-seven studies (6 cohort, 5 case-control, and 16 cross-sectional studies) were included in this systematic review. The methodological quality of these studies was low to moderate. The majority of studies reported weak to moderate evidence for an association between sleep parameters and chronic spinal pain, with more severe pain accompanied by more disturbed sleep. Addressing frequently reported sleep problems in chronic spinal pain patients therefore appears to be a necessary complement to pain management to achieve optimal treatment outcomes.

Download Full-text

Defining disrupted nighttime sleep and assessing its diagnostic utility for pediatric narcolepsy type 1

SLEEP ◽

10.1093/sleep/zsaa066 ◽

2020 ◽

Vol 43 (10) ◽

Cited By ~ 2

Author(s):

Kiran Maski ◽

Fabio Pizza ◽

Shanshan Liu ◽

Erin Steinhart ◽

Elaina Little ◽

...

Keyword(s):

Daytime Sleepiness ◽

Predictive Accuracy ◽

Sleep Stage ◽

Sleep Onset ◽

Added Value ◽

Diagnostic Utility ◽

Cross Sectional ◽

Patients Âgés ◽

Nighttime Sleep

Abstract Study Objectives Disrupted nighttime sleep (DNS) is a core narcolepsy symptom of unconsolidated sleep resulting from hypocretin neuron loss. In this study, we define a DNS objective measure and evaluate its diagnostic utility for pediatric narcolepsy type 1 (NT1). Methods This was a retrospective, multisite, cross-sectional study of polysomnograms (PSGs) in 316 patients, ages 6–18 years (n = 150 NT1, n = 22 narcolepsy type 2, n = 27 idiopathic hypersomnia, and n = 117 subjectively sleepy subjects). We assessed sleep continuity PSG measures for (1) their associations with subjective and objective daytime sleepiness, daytime sleep onset REM periods (SOREMPs), self-reported disrupted nocturnal sleep and CSF hypocretin levels and (2) their predictive value for NT1 diagnosis. We then combined the best performing DNS measure with nocturnal SOREMP (nSOREMP) to assess the added value to the logistic regression model and the predictive accuracy for NT1 compared with nSOREMP alone. Results The Wake/N1 Index (the number of transitions from any sleep stage to wake or NREM stage 1 normalized by total sleep time) was associated with objective daytime sleepiness, daytime SOREMPs, self-reported disrupted sleep, and CSF hypocretin levels (p’s < 0.003) and held highest area under the receiver operator characteristic curves (AUC) for NT1 diagnosis. When combined with nSOREMP, the DNS index had greater accuracy for diagnosing NT1 (AUC = 0.91 [0.02]) than nSOREMP alone (AUC = 0.84 [0.02], likelihood ratio [LR] test p < 0.0001). Conclusions The Wake/N1 Index is an objective DNS measure that can quantify DNS severity in pediatric NT1. The Wake/N1 Index in combination with or without nSOREMP is a useful sleep biomarker that improves recognition of pediatric NT1 using only the nocturnal PSG.

Download Full-text

Timing and Composition of Last Meal before Bedtime Affect Sleep Parameters of Night Workers

Clocks & Sleep ◽

10.3390/clockssleep3040038 ◽

2021 ◽

Vol 3 (4) ◽

pp. 536-546

Author(s):

Luciana F. R. Nogueira ◽

Pollyanna Pellegrino ◽

José Cipolla-Neto ◽

Claudia R. C. Moreno ◽

Elaine C. Marqueze

Keyword(s):

Linear Regression Analysis ◽

Night Shift ◽

Sleep Onset ◽

Multiple Linear Regression Analysis ◽

Sleep Onset Latency ◽

Nocturnal Sleep ◽

Double Blind ◽

Cross Sectional ◽

Sleep Parameters ◽

Diurnal Sleep

Night workers tend to eat irregularly, both in terms of meal times and composition. The disruption in energy metabolism caused by inappropriate eating habits can negatively affect the sleep quality of these individuals. The objectives of this study were to determine the interval between the last meal and bedtime and its relationship with both diurnal and nocturnal sleep parameters, as well as to evaluate the association of the adequacy of this meal with sleep parameters. The analyses were carried out for a usual sleep routine on a workday and a day off. This cross-sectional study was part of a controlled, randomized, double-blind, crossover clinical trial. The sample comprised 30 female nursing professionals who worked permanent night shifts of 12 × 36 h. Timing and composition of the last meal were obtained from food diaries, and sleep parameters were collected via actigraphy. On multiple linear regression analysis, every hour decrease in the interval between the last meal and sleep onset there was an increase of 0.39 h on diurnal sleep duration. Regarding food intake, every 1 g of fat and 1 g of carbohydrate consumed was associated with an increase in diurnal sleep onset latency of 0.13 h and 0.02 h, respectively. These findings suggest that both timing and composition of the last meal before bedtime may be potential key factors for good diurnal and nocturnal sleep among night-shift workers.

Download Full-text

Effect of early intervention for anxiety on sleep outcomes in adolescents: a randomized trial

European Child & Adolescent Psychiatry ◽

10.1007/s00787-021-01795-6 ◽

2021 ◽

Author(s):

Bente Storm Mowatt Haugland ◽

Mari Hysing ◽

Asle Hoffart ◽

Åshild Tellefsen Haaland ◽

Jon Fauskanger Bjaastad ◽

...

Keyword(s):

Early Intervention ◽

Standard Length ◽

Sleep Problems ◽

Sleep Onset ◽

Cognitive Behavioral ◽

Control Group ◽

Sleep Onset Latency ◽

Post Intervention ◽

Clinical Trial Registration

AbstractThe potential effect of early intervention for anxiety on sleep outcomes was examined in a sample of adolescents with anxiety (N = 313, mean 14.0 years, SD = 0.84, 84% girls, 95.7% Norwegians). Participants were randomized to one of three conditions: a brief or a standard-length cognitive-behavioral group-intervention (GCBT), or a waitlist control-group (WL). Interventions were delivered at schools, during school hours. Adolescents with elevated anxiety were recruited by school health services. Questionnaires on self-reported anxiety symptoms, depressive symptoms, and sleep characteristics were administered at pre- and post-intervention, post-waitlist, and at 1-year follow-up. Adolescents reported reduced insomnia (odds ratio (OR) = 0.42, p < 0.001) and shorter sleep onset latency (d = 0.27, p < 0.001) from pre- to post-intervention. For insomnia, this effect was maintained at 1-year follow-up (OR = 0.54, p = 0.020). However, no effect of GCBT on sleep outcomes was found when comparing GCBT and WL. Also, no difference was found in sleep outcomes between brief and standard-length interventions. Adolescents defined as responders (i.e., having improved much or very much on anxiety after GCBT), did not differ from non-responders regarding sleep outcomes. Thus, anxiety-focused CBT, delivered in groups, showed no effect on sleep outcomes. Strategies specifically targeting sleep problems in adolescents should be included in GCBT when delivered as early intervention for adolescents with elevated anxiety.Trial registry Clinical trial registration: School Based Low-intensity Cognitive Behavioral Intervention for Anxious Youth (LIST); http://clinicalrials.gov/; NCT02279251, Date: 11.31. 2014

Download Full-text

Mindfulness and Behaviour Therapy for Insomnia: An Assessment of Treatment Effect in a Sleep Disorders Clinic Population with Insomnia

Behaviour Change ◽

10.1017/bec.2020.18 ◽

2020 ◽

pp. 1-15

Author(s):

Allie Peters ◽

John Reece ◽

Hailey Meaklim ◽

Moira Junge ◽

David Cunnington ◽

...

Keyword(s):

Sleep Disorders ◽

Treatment Effect ◽

Sleep Onset ◽

Sleep Efficiency ◽

Health Concern ◽

Sleep Diary ◽

Sleep Onset Latency ◽

Subjective Sleep ◽

Sleep Parameters

Abstract Insomnia is a common major health concern, which causes significant distress and disruption in a person's life. The objective of this paper was to evaluate a 6-week version of Mindfulness-Based Therapy for Insomnia (MBTI) in a sample of people attending a sleep disorders clinic with insomnia, including those with comorbidities. Thirty participants who met the DSM-IV-TR diagnosis of insomnia participated in a 6-week group intervention. Outcome measures were a daily sleep diary and actigraphy during pre-treatment and follow-up, along with subjective sleep outcomes collected at baseline, end-of-treatment, and 3-month follow-up. Trend analyses showed that MBTI was associated with a large decrease in insomnia severity (p < .001), with indications of maintenance of treatment effect. There were significant improvements in objective sleep parameters, including sleep onset latency (p = .005), sleep efficiency (p = .033), and wake after sleep onset (p = .018). Significant improvements in subjective sleep parameters were also observed for sleep efficiency (p = .005) and wake after sleep onset (p < .001). Overall, this study indicated that MBTI can be successfully delivered in a sleep disorders clinic environment, with evidence of treatment effect for both objective and subjective measures of sleep.

Download Full-text

Narcolepsy Severity Scale: a reliable tool assessing symptom severity and consequences

SLEEP ◽

10.1093/sleep/zsaa009 ◽

2020 ◽

Vol 43 (6) ◽

Cited By ~ 3

Author(s):

Yves Dauvilliers ◽

Lucie Barateau ◽

Regis Lopez ◽

Anna Laura Rassu ◽

Sofiene Chenini ◽

...

Keyword(s):

Daytime Sleepiness ◽

Age At Onset ◽

Group Differences ◽

Diagnosis Delay ◽

Severity Scale ◽

The Mean ◽

Nighttime Sleep ◽

Self Administered Questionnaire

Abstract Study Objectives To define clinically relevant Narcolepsy Severity Scale (NSS) score ranges, confirm its main performances and sensitivity to medications, and determine whether items need to be weighted. Methods One hundred and forty-three consecutive untreated and 238 treated adults with narcolepsy type 1 (NT1) completed the NSS, a 15-item self-administered questionnaire (score: 0–57) that assesses the severity and consequences of the five major narcolepsy symptoms such as daytime sleepiness, cataplexy, hallucinations, sleep paralysis, and disturbed nighttime sleep (DNS). They also completed the Epworth Sleepiness scale (ESS; daytime sleepiness), Beck Depression Inventory (BDI; depressive symptoms), and EQ5D (quality of life). Results The mean symptom number (4.3 vs 3.5), NSS total score (33.3 ± 9.4 vs 24.3 ± 10.2), and number of narcolepsy symptoms (five symptoms: 53.1% vs 24.8%; four symptoms: 26.6% vs 22.7%; three symptoms: 15.4% vs 32.4%; two symptoms: 4.9% vs 20.2%) were significantly different between untreated and treated patients (p < 0.0001). DNS was often the third symptom (95.5 per cent). The symptom number was associated with diagnosis delay, age at onset, and ESS and BDI scores. Comparisons with ESS, BDI and EQ5D showed that NSS item weighting was not necessary to highlight between-group differences. Four NSS severity levels were defined (mild, moderate, severe, and very severe) with between-group differences related to treatment. The probability of having ESS ≥ 16, BDI ≥ 20, and EQ-5D < 60 increased with the severity level. Conclusion NSS is valid, reliable, and responsive to treatment in patients with NT1, with four clinically relevant severity score ranges provided. NSS has adequate clinimetric properties for broadening its use for both clinic and research.

Download Full-text