Association between use of electronic vaping products and insufficient sleep among adolescents: Findings from the 2017 and 2019 YRBS

When and what: A longitudinal study on the role of screen time and activities in adolescent sleep

OBJECTIVES

Previous research has highlighted a link between electronic media use and sleep outcomes, but the nuanced impacts of screen use at different time of day and activities on adolescent sleep are underexplored.

METHODS

831 participants underwent online assessment three times with interval of three months regarding their screen time and activities at specific times of the day, daytime sleepiness was assessed with the Epworth Sleepiness Scale, and sleep outcomes were assessed with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. The associations between time spent on various screen activities, and sleep outcomes were examined respectively after controlling for inter-individual differences using the Random Intercept Cross-Lagged Panel Model models and LMMs.

RESULTS

The RI_CLPM model revealed that both electronic screen time during daytime and after lights off in the evening in Wave1 negatively predicted the sleep quality in Wave2; the nighttime screen time before lights off in Wave1 significantly negatively predicted the seventy of insomnia in Wave2. Whereas no cross-lag and predictive effects of sleep outcomes on screen time were revealed. Moreover, daytime screen exposure, including T.V. watching and social media use, and nighttime music listening were negatively associated with sleep quality. Conversely, nighttime screen time of shopping and working/studying positively influenced sleep quality. Additionally, daytime screen time of T.V. viewing was positively associated with increased insomnia severity, whereas nighttime work/study-related screen time negatively affected insomnia severity. Nighttime screen time of music listening negatively predicted daytime sleepiness.

CONCLUSIONS

The current findings contributed to the existing literature suggesting that the effects of electronic screen time on sleep depended on both the time of day and type of screen activities.

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.

The influence of lifestyle habits on levels of depression among rural middle school students in Northeastern China

Background

Depression rates among adolescents have risen dramatically over the past decade. Therefore, preventing depression among adolescents is particularly important. Differences in lifestyle habits may play a role in depression.

Purpose

This study aimed to explore the influence of living habits on depression levels among rural middle school students in Northeast China and to provide a theoretical basis for developing interventions to reduce depression levels in middle school students.

Methods

A total of 296 middle school students aged 13-15 years from Benxi City, Northeast China completed the anthropometric measurements, Physical Activity Scale-3 (PARS-3), and the Self-Rating Depression Scale (SDS). Their average screen time in the most recent week, parents' education level, and monthly family income were collected through a questionnaire.

Results

Females had higher depression scores than males (41.0 ± 6.9 vs. 37.9 ± 8.0). Physical activity (β = -0.38, t = -7.06, P < 0.01), family income (β = -0.20, t = -4.07, P < 0.01), screen time (β = 0.16, t = 3.34, P < 0.01), age (β = 0.15, t = 3.16, P < 0.01), sex (β = -0.13, t = -2.74, P < 0.01), and sleep quality (β = -0.08, t = -1.87, P < 0.01) are important factors related to depression levels.

Conclusion

The preliminary analysis results showed that among middle school students in rural Northeast China, the depression level of females was significantly higher than that of males. Poor quality sleep, low levels of physical activity, low household income, and long screen time were positively associated with depression. Therefore, strengthening physical activity, improving sleep quality, and reducing screen time are of clinical relevance in preventing and reducing depression.

Association between Sexual Violence Victimization and Electronic Vaping Product Use among Adolescents: Findings from a Population-based Study

BACKGROUND

Although studies have investigated the association between sexual violence (SV) victimization and substance use, few studies have examined the association between SV victimization and electronic vaping product (EVP) use among adolescents in the United States. The objective of this study was to examine the cross-sectional association between SV victimization and EVP use among adolescents.

METHODS

Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 28,135 adolescents (51.2% female) was analyzed using binary logistic regression. The outcome variable investigated was EVP use, and the main explanatory variable was SV victimization.

RESULTS

Of the 28,135 adolescents, the prevalence of past 30-day EVP use and SV victimization was 22.7% and 10.8%, respectively. Controlling for other factors, adolescents who experienced SV had 1.52 times higher odds of being EVP users when compared to their counterparts who did not experience SV (AOR = 1.52, p < .001, 95% CI = 1.27-1.82). Other factors associated with EVP use included cyberbullying victimization, symptoms of depression, and current use of cigarettes, alcohol, and marijuana.

CONCLUSIONS

Experiencing SV was associated with EVP use. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying the association between SV victimization and EVP use. In addition, school-based interventions that focus on sexual violence prevention and reducing substance use among adolescents are warranted.