Daytime sleepiness predicts future suicidal behavior: a longitudinal study of adolescents

Liu, Xianchen; Liu, Zhenzhen; Wang, Ze-Ying; Yang, Yanyun; Liu, Bao-Peng; Jia, Cun-Xian

doi:10.1093/sleep/zsy225

Cited by 57 publications

(22 citation statements)

References 45 publications

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“…It has been previously shown that excessive daytime sleepiness in adolescents can reduce attention and school performance, affect mood and decision-making ability, reflect the presence of anxiety-depressive disorders, and is one of the predictors of suicidal behavior [ 69 , 70 , 71 , 72 ]. In the authors’ opinion, the pronounced association revealed between daytime sleepiness and the severity of Internet-dependent behavior in Siberian adolescents is undoubtedly one of the negative consequences of a decrease in the quality of nighttime sleep: going to bed late, difficulty in falling asleep, frequent awakenings.…”

Section: Discussionmentioning

confidence: 99%

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

Tereshchenko

Каспаров

Смольникова

et al. 2021

IJERPH

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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.

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Section: Discussionmentioning

confidence: 99%

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

Tereshchenko

Каспаров

Смольникова

et al. 2021

IJERPH

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“…Moreover, daytime sleepiness was observed to be a significant predictor of mood and affective states in clinical samples ( Lau, Eskes, Morrison, Rajda, & Spurr, 2013 ). In a longitudinal study, daytime sleepiness appeared to be a significant predictor of subsequent adolescent suicidal behavior ( Liu et al, 2019 ). Furthermore, in a one-year prospective study, daytime sleepiness was associated with possible future depression and anxiety in adolescent sample ( Luo, Zhang, Chen, Lu, & Pan, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents

Wang

Lin

et al. 2021

Children and Youth Services Review

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Background COVID-19 was first recognized in late 2019 in China, at which time school closures forced most students to isolate at home or maintain social distance, both of which increased smartphone use, daytime sleepiness and post traumatic disorder (PTSD) risks. However, to date, no research has fully explored these behavioral risks or the consequences. Methods Two thousand and ninety home-confined students from two Chinese high schools participated in an online-based questionnaire battery that assessed their sociodemographic characteristics, COVID-19 related exposures, daytime sleepiness, problematic smartphone use, and PTSD. The subsequent data were subjected to mediation analysis, and structural equation models (SEM) were employed to explore the variable relationships. Results The problematic smartphone use, daytime sleepiness and PTSD prevalence were respectively 16.4%, 20.2% and 6.9%. The number of COVID-19 related exposure was directly associated with problematic smartphone use and PTSD symptoms. Problematic smartphone use was found to be a mediator between COVID-19 related exposure and PTSD symptoms, and daytime sleepiness was found to partially mediate the associations between problematic smartphone use and PTSD. Conclusions The more exposure associated with the pandemic, the more psychological and behavioral problems the adolescents had. The relatively high rate of problematic smartphone use in home isolated adolescents possibly increased the risk of daytime sleepiness and psychological problems. Therefore, targeted improvements are needed to reduce the risk of psychological problems and daytime sleepiness in adolescents.

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“…4 On the other side, Brunei presented higher percentage for SA when comparing with estimate of Indonesia as a Middle-Income Country, with 2.46% based on a sample of 8634 students in 2015, 15 and of a prospective study of 7,072 adolescents 1.6% in China as an Asian upper middle income country. 16 Adolescents in Brunei also had a lower rate of suicide (4.75 per 100,000, based on data in 2012) compared to other HICs, 39 while according to data from the WHO, it had a comparable prevalence to (6 per 100,000 population in 2012). 40 Among 15-to 24-year-olds, suicide is the third leading cause of death in the United States.…”

Section: Attempting Suicidementioning

confidence: 95%

“…1 Among countries with representative data on suicide, the prevalence ranges from 2.3% in Vietnam to 28.3% in Benin. [10][11][12][13][14][15][16][17][18][19][20][21][22] Co-occurrence of several distal risk factors (such as socioeconomic factors, psychiatric diagnosis, previous suicide attempts, family history of suicide/attempts and so on) and proximal risk factors (recent onset of suicidal thoughts, hopelessness, existence of a suicide plan, access to firearms, a major loss, stressful event, imprisonment and so forth) is demonstrated to be deeply associated with suicidal behaviors. 17,[23][24][25] As a solution to having approximately 14% of the British people report feeling lonely, the UK established a Ministry for Loneliness -the first of its kind in the world.…”

Section: Introductionmentioning

confidence: 99%

Global School-based Student Health Survey reveals correlates of suicidal behaviors in Brunei Darussalam: a nationwide cross-sectional study

Shahedifar¹,

Shaikh

Oporia³

et al. 2020

J Inj Violence Res

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Background: This study aimed to determine the prevalence of and correlates for suicidal behaviors among school attending adolescents in Brunei. Methods: Nationally representative cross-sectional data on (n=2599) adolescents derived from the Global School-based Health Survey in Brunei Darussalam were examined. Data on suicidal behaviors, psychosocial and demographic characteristics were analyzed using multiple logistic regression taking survey design into account.Results: Twelve months prior to being surveyed, the prevalence of suicidal behaviors was 9.3%, 6.5% and 5.9% for suicidal ideation, suicidal plan and suicidal attempt, respectively. Females were overrepresented in attempts (61.2%).Several self-reported characteristics such as suicide ideation (69%), anxiety (28%), and loneliness (30%) were significantly different between the attempters of suicide and non-attempters (p less than 0.05). Also, some suicide-related behaviors such as having planned a suicide (52%), being bullied (21%), involved in a physical fight (29%), serious injury (29%), early sexual debut (8.5%), alcohol use at early age (21%), alcohol use in the past 30-days (12%), and being physically attacked (30%) differed by suicide category (p less than 0.05). Compared to those who did not report attempting suicide, attempters were more likely to have suicide ideation (OR=10.58; 95% CI 5.10, 21.97); have planned suicide (OR=9.82; 95% CI 4.60, 20.96); or sustained serious injury (OR=4.01; 95% CI 2.03, 7.93) within the recall period.Conclusions: This study provided evidence, which overall confirm that the psycho-social environment in school settings modify suicidal behavior. The results, taken together emphasize the importance of the school environment on the development of school attending adolescents. Where possible, the results may provide additional information on which self-reported behaviors represent avenues for potential preventive programming.

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Daytime sleepiness predicts future suicidal behavior: a longitudinal study of adolescents

Cited by 57 publications

References 45 publications

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

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

The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents

Global School-based Student Health Survey reveals correlates of suicidal behaviors in Brunei Darussalam: a nationwide cross-sectional study

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