Night-time screen-based media device use and adolescents' sleep and health-related quality of life

Impact of Body Mass Index, Socioeconomic Status, and Bedtime Technology Use on Sleep Duration in Adolescents

Factors related to adolescents and sleep are understudied. We evaluate the relationship between bedtime technology use (TU), TV in bedroom, weight, and socioeconomic status in seventh graders (N = 3956) enrolled in a school-based wellness intervention. Sleep quantity was dichotomized to insufficient (<8 hours) or sufficient (≥8 hours); high TU before sleep was defined by use "a few nights each week" or "every, or almost every night." Insufficient sleep (38.7%), having TV in bedroom (72.9%), and high TU (83.1%) were commonly reported. The likelihood of sufficient sleep was lower for those with high TU (odds ratio [OR] = 0.529 [0.463-0.605]), obese students (OR = 0.815 [0.700-0.949]), and those with a TV in the bedroom (OR = 0.817 [0.703-0.950]). Also, attending a school with higher percent low socioeconomic status students was also associated with insufficient sleep (P = .026). Interventions to reduce TU may be important for improving sleep quantity, especially for some vulnerable populations.

Electronic media use and sleep in children and adolescents in western countries: a systematic review

Background

Sleep is essential for child and adolescent health and well-being. There is an increasing interest in whether electronic media use affects children and young adolescents’ sleep. Prior reviews have focused on a school-aged population. Moreover, it is crucial that research continuously addresses the processes of technology and media use and the implication on sleep. This systematic review examines the evidence of electronic media use related to sleep among 0–15-year-olds.

Methods

Searches were carried out in four databases (CINAHL, Web of Science, EMBASE, and Medline). Inclusion criteria included age ≤ 15 years, and intervention, cohort, or cross-sectional studies from western countries. Methodological quality was rated using the Quality Assessment Tool for Quantitative Studies by two independent reviewers. Data was extracted using a standardized data extraction form. Synthesis was done by summarizing results across studies by age groups of 0–5, 6–12, and 13–15 years within four sleep domains: Bedtime and sleep onset; Sleep quality; Sleep duration; Daytime tiredness.

Results

The search identified 10,719 unique studies, of which 109 fulfilled inclusion and exclusion criteria and were assessed for methodological quality. In total, 49 studies were included in the review. The study designs were randomized controlled trials (n = 3), quasi-experimental studies (n = 2), prospective cohort studies (n = 15), and cross-sectional studies (n = 29). Evidence for an association between electronic media use and sleep duration was identified, with stronger evidence for 6–15-years-olds than 0–5-year-olds. The evidence for a relationship between electronic media use and other sleep outcomes was more inconclusive. However, for 6–12-year-old children, there was evidence for associations of electronic media use with delayed bedtime and poor sleep quality. For 13–15-year-olds, there was evidence for associations between screen time and problems falling asleep, and between social media use and poor sleep quality.

Conclusions

Overall, electronic media use was generally associated with shorter sleep duration in children and adolescents. Studies with stronger research design and of higher quality are needed to draw solid conclusions about electronic media’s impact on other sleep outcomes. Public awareness and interventions could be promoted about the potential negative impact on children’s sleep of electronic media devices that are used excessively and close to bedtime.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11640-9.

Longitudinal association between movement behaviours and depressive symptoms among adolescents using compositional data analysis

BACKGROUND

Research examining the associations between movement behaviours and mental health indicators within a compositional framework are sparse and limited by their cross-sectional study design. This study has three objectives. First, to describe the change in movement behaviour composition over time. Second, to explore the association between change in movement behaviour composition and change in depressive symptoms. Third, to explore how reallocations of time between movement behaviours are associated with changes in depressive symptoms.

METHODS

Longitudinal data of 14,620 students in grades 9-12 (mean age: 14.9 years) attending secondary schools in Canada (Ontario, British Columbia, Alberta, Quebec) were obtained from two waves (2017/18, 2018/19) of the COMPASS study. Moderate-to-vigorous physical activity (MVPA), recreational screen time, and sleep duration were self-reported. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (Revised)-10 (CESD-R-10). Compositional data analyses using pivot coordinates and compositional isotemporal substitution for longitudinal data were used to analyse the data. Analyses accounted for school clustering, were stratified by gender and age (< or ≥ 15 years), and were adjusted for race/ethnicity, body mass index z-score, baseline movement behaviour composition, and baseline depressive symptoms.

RESULTS

There were significant differences in movement behaviour composition over time across all subgroups. For example, the relative contributions of MVPA and sleep duration to the movement behaviour composition decreased over time while screen time increased among younger boys and girls and older girls. Increasing sleep duration relative to the remaining behaviours (i.e. screen time and MVPA) was associated with lower depressive symptoms among all subgroups. Increasing screen time relative to the remaining behaviours (i.e. MVPA and sleep duration) was associated with higher depressive symptoms among all subgroups. Increasing MVPA relative to the remaining behaviours (i.e. screen time and sleep duration) was associated with lower depressive symptoms in older girls only. Isotemporal substitution estimates indicated that decreasing screen time by 60 minutes/day and replacing that time with 60 minutes of additional sleep is associated with the largest change in depressive symptoms across all subgroups.

CONCLUSIONS

Findings from this prospective analysis suggest that increased sleep duration and reduced screen time are important determinants of lower depressive symptoms among adolescents.

Testing measurement properties of two EQ-5D youth versions and KIDSCREEN-10 in China

OBJECTIVE

To assess measurement properties of the two youth versions of EQ-5D (i.e., 5-level EQ-5D-Y [Y-5L] and 3-level EQ-5D-Y [Y-3L]) and KIDSCREEN-10 in China.

METHODS

Children and adolescents attending schools in Shanghai, China were recruited to self-complete the Y-5L, KIDSCREEN-10, and Y-3L questionnaires. Their feasibility was assessed according to missing responses. Convergent validity of the EQ-5D-Y dimensions, a summated dimension score [SDS], and Visual Analogue Scale (VAS) were assessed by examining their correlations with the KIDSCREEN-10 index score and dimensions. Known-groups validity of SDS, VAS, and KIDSCREEN-10 index score were tested by comparing the scores of pupils with and without two conditions (i.e., overweight and shortsightedness), and the relative efficiency (RE) between them was also evaluated.

RESULTS

A total of 262 pupils (girl: 58.4%; mean age: 12.7 years) were enrolled. Missing responses were low for both the Y-5L (0.3%) and Y-3L (2.4%), and KIDSCREEN-10 (0.3%). The overall ceiling effects were 40.3% for the Y-5L, 44.1% for the Y-3L and 1.1% for the KIDSCREEN-10. The SDS_Y-5L, SDS_Y-3L and VAS were moderately correlated with the KIDSCREEN-10 index score (|r|= 0.425 for SDS_Y-5L, 0.323 for SDS_Y-3L, and 0.435 for VAS; p < 0.01 for all). Similar EQ-5D-Y and KIDSCREEN-10 dimensions showed moderate to strong correlations (|r|> 0.3). Both the SDS_Y-5L and SDS_Y-3L had lower values, and VAS and KIDSCREEN-10 index score had higher values for pupils without shortsightedness compared with those for their counterparts. The difference was statistical significance for the SDS_Y-5L and VAS (P < 0.05 for both), which also had higher RE in the condition.

CONCLUSIONS

The Y-5L, Y-3L, and KIDSCREEN-10 questionnaires are feasible and valid for measuring HRQoL among children/adolescents in China. It also appears that the advantages of Y-5L over Y-3L were modest.

The Current Status of Insufficient Sleep Duration and Its Influencing Factors Among Children and Adolescents: A Household Based Cross-Sectional Study in Zhejiang Province, China

PURPOSE

Insufficient sleep duration is common among children and adolescents worldwide, and the decline of sleep duration during the recent years is troubling. This study aimed to learn the status of insufficient sleep duration and to explore its influencing factors among children and adolescents in Zhejiang Province, China.

DESIGN AND METHODS

A stratified sampling technique was employed in the present cross-sectional study. Demographic characteristics, sports time as well as sedentary behavior were investigated.

RESULTS

A greater proportion of children than adolescents reported insufficient sleep duration (36.4% versus 19.2%, p = 0.001). For children, insufficient sleep duration was associated with age (OR = 1.290, 95%CI: 1.069-1.557), watching movies or TV shows with smartphones after school (OR = 3.098, 95%CI: 1.293-7.420), surf the internet after school (OR = 0.113, 95%CI: 0.013-0.969), walk to school (OR = 0.289, 95%CI: 0.105-0.793). For adolescents, insufficient sleep duration was associated with watch TV after school (OR = 0.379, 95%CI: 0.148-0.970), watching movies or TV shows with smartphones after school (OR = 4.744, 95%CI: 1.799-12.507), do homework after school (OR = 0.265, 95%CI: 0.086-0.813).

CONCLUSIONS

An unhealthy sedentary screen lifestyle profile may have influence on insufficient sleep duration. Urgent actions are needed to improve sleep duration among children and adolescents.

Oral health practice and health-related quality of life of a group of children during the early stage of the COVID-19 pandemic in Istanbul

BACKGROUND

During the pandemic period of coronavirus disease, appropriate oral health management and disease prevention of children are very important for children's oral and general health. The aim of this study was to survey to better understand in children's dental health and dietary habits and to learn about parents' attitudes toward dental treatment and clinical factors associated with their QoL using the Turkish version of KIDSCREEN-10 during the initial stage of the COVID-19 pandemic in the general public.

MATERIALS AND METHODS

A two-part questionnaire, namely Part 1 addressed topics regarding changes in general and dental health, dietary habits of children under quarantine, and sociodemographic characteristics of the family and Part 2 impact of QoL was assessed by the KIDSCREEN-10 scale with 10 questions. The questionnaire was sent online using WhatsApp to a convenience sample of mothers with children between the age group of 8 and 18 years, who lived in Istanbul. Variables were statistically analyzed using the Student's t-test for independent samples and Univariate F-test, ANOVA according to the characteristics of variables which were analyzed.

RESULTS

This study included 328 from 557 mothers with 58% respondent rate. The consumption of fast food, packaged food, and carbonated beverages decreased during the COVID-19 outbreak. Half of the mothers of children reported that they were anxious or fearful about their children visiting dentists during the pandemic and 64.2% of the children missed routine dental visits. The KIDSCREEN-10 scores for 13 years old or older children were influenced more by the COVID-19 pandemic than those for the 8-12 years old, who had a better QoL (P = 0.008).

CONCLUSIONS

The results of this study emphasize the importance of oral health and QoL of children during the initial phase of the COVID-19 outbreak. The general perception of QoL in this group of Turkish children seemed to be substantially affected by COVID-19 outbreak.

Health Promotion through Movement Behaviors and Its Relationship with Quality of Life in Spanish High School Adolescents: A Predictive Study

A growing number of studies have highlighted the health benefits of high physical activity, low screen time, and optimal sleep duration among school-age children and adolescents. Objective: The present study proposes to examine the individual and combined association between movement behaviors (physical activity, screen time, and sleep time) and quality of life in boys and girls. Method: A total of 319 Spanish primary and secondary school students participated in the study. Physical activity, screen time, sleep duration, and quality of life were evaluated. Results: Descriptive, correlation, and regression analyses were carried out in order to improve knowledge about health-related behaviors for all participants. The results found significant positive associations between physical activities and sleep time with quality of life. Finally, the regression models showed that physical activity scores predict quality of life, especially in children. It is concluded that movement behaviors are important in association with quality of life. Likewise, the impact of physical activity on the quality of life is highlighted as the main behavior in the prediction of the quality of life for a population of school adolescents.

Concurrent screen use and cross-sectional association with lifestyle behaviours and psychosocial health in adolescent females

Aim:

To describe concurrent screen use and any relationships with lifestyle behaviours and psychosocial health.

Methods:

Participants wore an accelerometer for seven days to calculate physical activity sleep and sedentary time. Screen ownership and use and psychosocial variables were self-reported. Body mass index (BMI) was measured. Relationships were explored using mixed models accounting for school clustering and confounders.

Results:

In 816 adolescent females (age: 12.8 SD 0.8 years; 20.4% non-white European) use of ≥2 screens concurrently was: 59% after school, 65% in evenings, 36% in bed and 68% at weekends. Compared to no screens those using: ≥1 screens at weekends had lower physical activity; ≥2 screens at the weekend or one/two screen at bed had lower weekend moderate-to-vigorous physical activity; one screen in the evening had lower moderate-to-vigorous physical activity in the after-school and evening period; ≥1 screens after school had higher BMI; and ≥3 screens at the weekend had higher weekend sedentary time. Compared to no screens those using: 1–3 after-school screens had shorter weekday sleep; ≥1 screens after-school had lower time in bed.

Conclusion:

Screen use is linked to lower physical activity, higher BMI and less sleep. These results can inform screen use guidelines.

Association between Mobile Phone Addiction Index and Sugar-Sweetened Food Intake in Medical College Students Stratified by Sex from Shanghai, China

This study’s objective was to depict sugar-sweetened food (SSF) consumption in medical college students stratified by sex from Shanghai, China, and to explore the association between the Mobile Phone Addiction Index (MPAI) and SSF intake. The data were obtained from 1121 medical college students from the Fudan University, Shanghai, China, who took an online questionnaire investigation in December 2020. Data included demographics, the MPAI, the Nutrition Literacy Assessment Questionnaire (NLAQ), total and food expenditure per month, the International Physical Activity Questionnaire (IPAQ), and a food frequency questionnaire (carbonated beverages (CB), other sugar-based beverages (OSBB), sugar/chocolate). We evaluated the association between the MPAI and three types of SSF intake according to multivariate logistic regression analysis stratified by sex. The mean CB, OSBB, and sugar/chocolate intakes were, respectively, 65.66 mL/d, 74.20 mL/d, and 4.96 g/d in men and 30.42 mL/d, 71.48 mL/d, and 4.99 g/d in women. The MPAI was positively associated with SSF intake, regardless of sex. In men, the CB and OSBB odds ratios (ORs) were, respectively, 1.023 (95% CI: 1.004–1.042), 1.019 (95% CI: 1.001–1.038); and in women, the CB, OSBB, and sugar/chocolate ORs were, respectively, 1.026 (95% CI: 1.013–1.039), 1.020 (95% CI: 1.007–1.033), and 1.019 (95% CI: 1.006–1.032). Age, NLAQ, total expenditure, food expenditure, and total physical activity also were related to SSF intake. Age and the application capacity of the NLAQ were negatively associated with SSF intake, whereas comprehension capacity of the NLAQ, total and food expenditure, and total physical activity were positively associated with SSF intake. This study confirmed that SSF intake is widespread among medical college students from Shanghai, China, even if they have relatively high nutrition health literacy. From a public health perspective, it is necessary to reduce SSF intake in medical college students by decreasing the MPAI, controlling the total and food expenditure per month in high-consumption areas, and improving the application ability of the NLAQ. Further studies are needed to explore the MPAI and other potential factors that may influence SSF intake of college students by expanding the sample size of college students throughout China, and the causal association between them.

Lecture start time and sleep characteristics: Analysis of daily diaries of undergraduate students from the LoST-Sleep project

OBJECTIVES

Emerging evidence shows that later high school start times are associated with increased sleep duration; however, little is known if this extends to the university setting. This study investigated associations of first lecture start times with sleep characteristics among university students.

DESIGN

Daily diaries.

SETTING

Lincoln, UK.

PARTICIPANTS

One hundred and fifty-five undergraduate students completed 7-night sleep diaries MEASUREMENTS: Of the plausible lecture-day diaries (Monday-to-Friday, expected N = 755 days), 567 days were lecture days (M = 3.8 lecture-days per student, SD = 1.1). The Consensus Sleep Diary was used to collect sleep characteristics. Two-level multilevel mixed effect generalized linear models were employed in the analyses.

RESULTS

Seventy-five percent of first lectures occurred before noon. Students reported short sleep (M = 7.0 hours, SD = 1.9) and fewer reported highest levels of sleep quality (42.8%) and restfulness (24.8%) when first lectures started at 09:00 or 09:30 compared to 10:00 or later. Every hour delay of first lecture start time was associated with 15.1 (95% confidence interval [CI]: 9.5; 20.7) minutes increase in sleep duration and higher odds of reporting the highest levels of sleep quality and restfulness. Focusing on attended lectures starting before noon, hourly delay of first lecture start time was associated with 37.4 (95% CI: 22.0; 52.8) minutes increased sleep duration. Bedtime, sleep time, and sleep onset latency were not significantly associated with first lecture start times.

CONCLUSION

This study found that undergraduate students had longer sleep and healthier sleep quality when university first lectures started later. The earliest lecture start time that afforded sufficient sleep duration for students was 10:00.

Desktop lighting for comfortable use of a computer screen

BACKGROUND:

The contrast between a bright computer screen and a dark ambient environment may influence comfort of the users, especially on their eyes.

OBJECTIVE:

The objective of this research is to identify the optimal desktop lighting for the comfortable use of the computer screen in a dark environment.

METHODS:

An experiment was designed where seven illumination setups were introduced for the users to perform their leisure tasks on a computer screen. Fifteen healthy subjects participated in the experiments. During each session, durations of the eye blinks, fixations and saccades of the user were recorded by an eye tracker. His/her neck and trunk movements were recorded by a motion tracking system as well. The comfort/discomfort questionnaire, localized postural discomfort questionnaire, NASA task load index and computer user questionnaire were used to record the overall comfort/discomfort, the local perceived physical discomfort, the cognitive workload, and general/eye health problems, respectively.

RESULTS:

Subjective and objective measurement results indicated that users felt more comfortable with high intensity warm lights using a computer screen. We also identified that the eye fixation durations, as well as the scores of two questions in the computer user questionnaire, have significant negative correlations with comfort. On the other side, the durations of blinks and the scores of three questions in the computer user questionnaire, were significantly correlated with discomfort.

CONCLUSION:

The warm (3000K) and high intensity (1500 lux) light reduced the visual and cognitive fatigue of the user and therefore improve the comfort of the user during the use of a computer screen.

Sleep Duration and Waking Activities in Relation to the National Sleep Foundation's Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017

The objective was to investigate the association between time spent on waking activities and nonaligned sleep duration in a representative sample of the US population. We analysed time use data from the American Time Use Survey (ATUS), 2015-2017 (N = 31,621). National Sleep Foundation (NSF) age-specific sleep recommendations were used to define recommended (aligned) sleep duration. The balanced, repeated, replicate variance estimation method was applied to the ATUS data to calculate weighted estimates. Less than half of the US population had a sleep duration that mapped onto the NSF recommendations, and alignment was higher on weekdays (45%) than at weekends (33%). The proportion sleeping longer than the recommended duration was higher than those sleeping shorter on both weekdays and weekends (p < 0.001). Time spent on work, personal care, socialising, travel, TV watching, education, and total screen time was associated with nonalignment to the sleep recommendations. In comparison to the appropriate recommended sleep group, those with a too-short sleep duration spent more time on work, travel, socialising, relaxing, and leisure. By contrast, those who slept too long spent relatively less time on each of these activities. The findings indicate that sleep duration among the US population does not map onto the NSF sleep recommendations, mostly because of a higher proportion of long sleepers compared to short sleepers. More time spent on work, travel, and socialising and relaxing activities is strongly associated with an increased risk of nonalignment to NSF sleep duration recommendations.

Bedtime media use and sleep: evidence for bidirectional effects and associations with attention control in adolescents

OBJECTIVE/DESIGN

Bedtime media use has been associated with poor sleep and attention difficulties among adolescents, but much of this research has been cross-sectional, limiting current understanding of directionality of effects. This 2-wave prospective study tested bidirectional effects between bedtime media use and sleep measures, including time in bed, sleep onset latency, and daytime sleepiness, and further examined whether bedtime media use and sleep variables were related to attention control difficulties.

SETTING/PARTICIPANTS

Data were collected from 345 middle-schoolers (ages 12-14, 47% female) at baseline (T1) and at 6-month follow-up (T2).

MEASUREMENTS

Students self-reported their access to media devices and internet in their bedroom, bedtime media use, sleep, and attention control. Data were analyzed using cross-lagged panel modeling.

RESULTS

Greater bedtime media use (at T1) was associated with less time in bed and longer sleep onset latency at T2, controlling for T1 levels of these variables. In the case of sleep effects on bedtime media use, greater daytime sleepiness and less time in bed (at T1) were associated with greater bedtime media use at T2, controlling for T1 levels. Further, greater daytime sleepiness (at T2, controlling for T1 levels) was associated with greater attention control difficulties at T2.

CONCLUSIONS

Findings provide evidence for some reciprocal relations between bedtime media use and poor sleep in adolescents. Furthermore, higher daytime sleepiness was linked to greater attention control difficulties.

Impact of sleep duration, physical activity, and screen time on health-related quality of life in children and adolescents

Background

Existing studies on health-related quality of life (HRQoL) mainly covered single growth stages of childhood or adolescence and did not report on the trends in the relationships of HRQoL with sleep duration, physical activity, and screen time. This study aimed to establish the population norm of HRQoL in children and adolescents aged 6–17 years and examine the associations of screen time, sleep duration, and physical activity with HRQoL in this population.

Methods

We conducted a large-scale cross-sectional population-based survey study of Hong Kong children and adolescents aged 6 to 17 years. A representative sample of students were interviewed to assess their HRQoL using PedsQL and EQ-5D-Y-5L. Multivariable homoscedastic Tobit regression with linear form or restricted cubic spline of predictors was used to analyze the associations between screen time, sleep duration, and HRQoL. Multiple imputation by chained equations was performed to deal with missing data.

Results

A total of 7555 respondents (mean age 11.5, SD 3.2; 55.1% female) were sampled. Their EQ VAS scores, PedsQL physical summary scores, and psychosocial summary scores were positively correlated with sleep duration and moderate/vigorous activity but was negatively correlated with screen time.

Conclusions

Children and adolescents who had longer exposure to screen, shorter sleep duration, and lower physical activity levels appeared to have poorer HRQoL as assessed by PedsQL and EQ-5D-Y-5L. Advice and guidance on screen time allocation for children and adolescents should be provided at the levels of school, community, and family.

Waking Activities and Sleep: Analysis of United Kingdom Adolescents' Daily Time-Use Diaries

PURPOSE

To investigate waking activities associated with risks of short and long sleep in a representative cohort of UK adolescents.

METHODS

Data from 14-year-olds participating in the UK Millennium Cohort Study were used. Daily time-use diaries were completed by adolescents on two randomly selected days (one weekday and one weekend) to capture their activities within a 24-hour period from 4 a.m. of each selected day. Short and long sleep duration categories were defined as beyond the extreme lower and upper thresholds of acceptable age-specific sleep durations recommended by the National Sleep Foundation, respectively.

RESULTS

Approximately 8% and 6% were short sleepers on weekdays and weekends, respectively. On average, adolescents spent 33% of their time awake per weekend day on recreational digital media activities. Compared with those who had optimal sleep on weekdays, short sleepers spent more time on personal care (mean difference = +56 minutes; 95% confidence interval [CI]: 21; 92) and less time on exercise activities (mean difference = -15 minutes; 95% CI: -27; -3). Ten-minute increase in daily digital media activity was associated with 2% (95% CI: 1.01; 1.03) higher relative risk of adolescents being short sleepers on weekdays. Relative risk of short sleeping was 1.03 (95% CI: 1.01; 1.04) times higher for every10-minute daily increase in travel time on weekdays.

CONCLUSIONS

Adolescents spend up to one-third of their time awake per day on digital media. However, more time spent on personal care and travel on weekdays and weekends is associated with increased risk of short sleep. These findings permit a reflection on appropriate interventions needed to improve sleep duration in sleep-deprived teens.

A Model of Adolescent Sleep Health and Risk for Type 2 Diabetes

PURPOSE OF REVIEW

This paper presents a review of the current literature in support of a model explaining the relationships between sleep health and risk for type 2 diabetes in adolescents.

RECENT FINDINGS

Short sleep duration is associated with risk of developing obesity in youth. Sleep restriction increases energy expenditure, but also increases hunger, appetite, and food intake, causing positive energy balance, impacting appetite-regulating hormones, and leading to increased eating late at night. Insufficient sleep may lead to reduced physical activity and greater sedentary behaviors. In addition, short sleep duration is associated with reduced insulin sensitivity. The cumulative negative consequences of insufficient sleep increase risk for type 2 diabetes. Applications to clinical care, public policy, and future research are discussed. Insufficient sleep in adolescence increases risk for type 2 diabetes directly through impact on insulin sensitivity and indirectly through increased dietary intake, sedentary activity, and weight gain.

Digital Technology Use and Body Mass Index: Evidence From Cross-sectional Analysis of an Adolescent Cohort Study (Preprint)

Background

Objective

Methods

Results

Conclusions

The Teensleep study: the effectiveness of a school-based sleep education programme at improving early adolescent sleep

Objective

To evaluate the impact of a school-based sleep education programme on adolescent sleep and sleep knowledge.

Methods

This is the first outcome report on ‘Teensleep’: a novel, teacher-led programme, comprising ten lessons that can be delivered flexibly. Students in Year 10 (n = 1504; mean age = 14.14 ± 0.35 years) from ten UK state (non-fee-paying) secondary schools received the lessons and parents received a leaflet. Effectiveness was assessed using measures across two time points (pre- and post-intervention). Students completed questionnaires on sleep knowledge, sleep quality, sleep behaviour, sleep hygiene, daytime sleepiness and health-related quality of life. A sub-sample provided objective (actigraphy, n = 84) and subjective (sleep diary, n = 74) sleep measures.

Results

Large improvements in sleep knowledge (d = 0.78), and smaller improvements in sleep quality (d = 0.15) and sleep hygiene (d = 0.11) were observed, but not in daytime sleepiness or health-related quality of life. Small and limited changes in subjective and objective sleep patterns were found. Baseline sleep quality was differentially associated with key outcomes, with those initially self-reporting poor sleep demonstrating an improvement in sleep quality, sleep hygiene and sleepiness.

Conclusion

Teensleep was effective at improving sleep knowledge but sleep changes were small. Such interventions have traditionally focused on gains for all students, but this study suggests that poor sleepers may be the most likely to experience immediate direct sleep benefits. Follow-up studies are required to investigate whether or not sleep education provides long-term benefits as a step towards preventative sleep medicine.

•

‘Teensleep’ is a teacher-led, school-based sleep education programme for adolescents.

•

Large-scale study: students received lessons in ten UK schools.

•

Programme effectiveness was evaluated using questionnaires and actigraphy.

•

Sleep knowledge, self-reported sleep quality and sleep hygiene improved after lessons.

•

Study suggests poor sleepers may be most likely to experience immediate benefits.

Health-related quality of life in adolescents: individual and combined impact of health-related behaviors (DADOS study)

PURPOSE

To investigate the individual and combined effect of physical activity, adherence to the Mediterranean diet, sleep quality, sleep duration, and screen time on health-related quality of life (HRQoL) in adolescents.

METHODS

This is a cross-sectional analysis with 262 adolescents (13.9 ± 0.3 years) from DADOS (Deporte, ADOlescencia y Salud) study. Physical activity was assessed with a wrist-worn GENEActiv triaxial accelerometer. Adherence to the Mediterranean diet was evaluated by the KIDMED questionnaire. Sleep patterns were self-reported through the Spanish version of Pittsburgh Sleep Quality Index questionnaire. Screen time was assessed through the HELENA sedentary behavior questionnaire. HRQoL was measured using the KIDSCREEN-10 questionnaire. Scores were categorized into low and high using a normative cut-off used to identify factors associated with being in a high HRQoL group. A healthy lifestyle index was created including positive scores for each individual behavior, and five categories of achievement were established (0, 1, 2, 3, ≥ 4).

RESULTS

Sleep patterns and screen time revealed a significant individual relationship with HRQoL (p < 0.05). Adolescents achieving ≥ 3 positive health-related behaviors showed higher HRQoL levels compared to those fulfilling none (p < 0.05). Logistic regression analysis revealed an increased likelihood of high HRQoL according to the number of positive health-related behaviors achieved (p < 0.05).

CONCLUSIONS

Our results reveal higher levels of HRQoL in those adolescents achieving ≥ 3 health-related behaviors compared to their peers achieving none. Moreover, our findings show a cumulative effect of health-related behaviors on HRQoL. These findings underline the key role of promoting a healthy lifestyle in order to improve adolescents' health and well-being.

Temporal association between objectively measured smartphone usage, sleep quality and physical activity among Chinese adolescents and young adults

We studied the association between objectively measured smartphone usage and objectively measured sleep quality and physical activity for seven consecutive days among Hong Kong adolescents and young adults aged 11-25 years (n = 357, 67% female). We installed an app that tracked the subjects' smartphone usage and had them wear an ActiGraph GT3X accelerometer on their wrist to measure their sleep quality and physical activity level. Smartphone usage data were successfully obtained from 187 participants (52.4%). The participants on average spent 2 h 46 min per day on their smartphone. Multilevel regression showed that 1 min of daytime smartphone usage was associated with 0.07 min decrease in total sleeping time that night (p = .043, 95% confidence interval [CI]: -0.14, -0.003). Broken down for different usage purposes, 1 min of daytime social network usage and games and comics was associated with a 0.28 (p = .02, 95% CI: -0.52, -0.04) min and 0.18 min (p = .01, 95% CI: -0.32, -0.04) decrease in total sleeping time that night, respectively. One minute of daytime smartphone usage was associated with an increase of 4.55 steps in the number of steps (p = .001, 95% CI: 1.77, 7.34) on the next day. To conclude, time spent on a smartphone in the daytime was associated with total sleeping time that night and number of steps the next day, but was not associated with sleep efficiency, wake after sleep onset and moderate-to-vigorous-intensity activity (MVPA) among Hong Kong adolescents and young adults.

Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: a Network Analysis

Mounting evidence highlights the link between screen time and adolescent mood problems. However, there are several shortcomings to the extant literature: (1) this link is underexplored in preadolescents, (2) most existing studies look at mood problems using categorical diagnoses rather than from a symptom-level perspective, despite the heterogeneity within mood disorders, (3) few studies have simultaneously examined the links of mood symptoms with different types of screen time, and (4) family/child-level factors that have shown links to youth psychopathology are not typically considered. This study, for the first time, examined the relationships of mood symptoms with different types of screen time, while accounting for theoretically important factors-parental monitoring and the behavioral inhibition/activation systems (BIS/BAS)-in preadolescents aged 9 to 10 from 9986 families participating in the Adolescent Brain and Cognitive Development Study. Using mixed graphical models, we found that screen time involving age-inappropriate content was stably and significantly associated with various elevated mood symptoms, independent from other types of screen time, BIS/BAS, and parental monitoring. Additionally, age-inappropriate screen time was associated with increased overall symptom connectivity. Further, preadolescents engaged in high levels of age-inappropriate screen time reported different symptom profiles (i.e., differences in symptom centralities) from common pediatric mood problems. Our findings underline the multifaceted role (i.e., direct associations with symptoms, a moderator for symptom relationships, associations with distinct symptom profiles) of age-inappropriate screen time in preadolescent mood problems. These findings serve as foundations for future research that may facilitate early detection of preadolescents at risk of mood problems.

Psychological impacts of "screen time" and "green time" for children and adolescents: A systematic scoping review

Technological developments in recent decades have increased young people's engagement with screen-based technologies (screen time), and a reduction in young people's contact with nature (green time) has been observed concurrently. This combination of high screen time and low green time may affect mental health and well-being. The aim of this systematic scoping review was to collate evidence assessing associations between screen time, green time, and psychological outcomes (including mental health, cognitive functioning, and academic achievement) for young children (<5 years), schoolchildren (5-11 years), early adolescents (12-14 years), and older adolescents (15-18 years). Original quantitative studies were identified in four databases (PubMed, PsycInfo, Scopus, Embase), resulting in 186 eligible studies. A third of included studies were undertaken in Europe and almost as many in the United States. The majority of studies were cross-sectional (62%). In general, high levels of screen time appeared to be associated with unfavourable psychological outcomes while green time appeared to be associated with favourable psychological outcomes. The ways screen time and green time were conceptualised and measured were highly heterogeneous, limiting the ability to synthesise the literature. The preponderance of cross-sectional studies with broadly similar findings, despite heterogeneous exposure measures, suggested results were not artefacts. However, additional high-quality longitudinal studies and randomised controlled trials are needed to make a compelling case for causal relationships. Different developmental stages appeared to shape which exposures and outcomes were salient. Young people from low socioeconomic backgrounds may be disproportionately affected by high screen time and low green time. Future research should distinguish between passive and interactive screen activities, and incidental versus purposive exposure to nature. Few studies considered screen time and green time together, and possible reciprocal psychological effects. However, there is preliminary evidence that green time could buffer consequences of high screen time, therefore nature may be an under-utilised public health resource for youth psychological well-being in a high-tech era.

Testing the Bidirectional Associations of Mobile Phone Addiction Behaviors With Mental Distress, Sleep Disturbances, and Sleep Patterns: A One-Year Prospective Study Among Chinese College Students

BACKGROUND

Mobile phone addiction behaviors (MPAB) are extensively associated with several mental and sleep problems. Only a limited number of bidirectional longitudinal papers have focused on this field. This study aimed to examine the bidirectional associations of MPAB with mental distress, sleep disturbances, and sleep patterns.

METHODS

A total of 940 and 902 (response rate: 95.9%) students participated at baseline and one-year follow-up, respectively. Self-reported severity of mobile phone addiction was measured using Mobile Phone Involvement Questionnaire (MPIQ). Mental distress was evaluated by using Beck Depression Inventory (BDI) and Zung Self-Rating Anxiety Scale (SAS). Sleep disturbances were assessed by using Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleepiness Scale (ESS). Sleep patterns were evaluated by using reduced Morningness-Eveningness Questionnaire (rMEQ), weekday sleep duration, and weekend sleep duration.

RESULTS

Cross-lagged analyses revealed a higher total score of BDI, SAS, and ISI predicted a greater likelihood of subsequent MPAB, but not vice versa. We found the bidirectional longitudinal relationships between MPAB and the total score of PSQI and ESS. Besides, a higher score of MPIQ at baseline predicts a subsequent lower total score of rMEQ and shorter weekday sleep duration.

CONCLUSIONS

The current study expands our understanding of causal relationships of MPAB with mental distress, sleep disturbances, and sleep patterns.

The effect of Internet addiction on sleep quality in adolescents

PROBLEM

This cross-sectional type study was conducted to investigate the effect of Internet addiction on sleep quality in adolescents.

METHODS

The study was conducted between September and December 2017 in three high schools located in the city center of Erzincan determined according to three socioeconomic levels. The population of the study was composed of 9th, 10th, 11th, and 12th grade students in the high schools determined. In the study, sample group selection was not made and all students, for whom parental permission and student permissions were obtained, were included in the study. A total of 1487 students were included in the study.

FINDINGS

The average age of adolescents who participated in the study was 16.16 ± 1.19, 60.6% were male, and 27.6% were 9th grader. Adolescents' Young Internet Addiction Test-Short Form (YIAT-SF) total score average was 25.12 ± 9.14 and Pittsburgh Sleep Quality Index (PSQI) total score average was 5.11 ± 3.02. Poor sleep quality was found in 61.6% of adolescents. A positive and statistically significant relationship was found between the YIAT total score and the PSQI total score of adolescents (p < .01).

CONCLUSIONS

It was determined that adolescents have a moderate Internet addiction, poor sleep quality, and Internet addiction negatively affects sleep quality.

Exploring Therapeutic Targets to Reverse or Prevent the Transition from Metabolically Healthy to Unhealthy Obesity

The prevalence of obesity and obesity-related metabolic comorbidities are rapidly increasing worldwide, placing a huge economic burden on health systems. Excessive nutrient supply combined with reduced physical exercise results in positive energy balance that promotes adipose tissue expansion. However, the metabolic response and pattern of fat accumulation is variable, depending on the individual’s genetic and acquired susceptibility factors. Some develop metabolically healthy obesity (MHO) and are resistant to obesity-associated metabolic diseases for some time, whereas others readily develop metabolically unhealthy obesity (MUO). An unhealthy response to excess fat accumulation could be due to susceptibility intrinsic factors (e.g., increased likelihood of dedifferentiation and/or inflammation), or by pathogenic drivers extrinsic to the adipose tissue (e.g., hyperinsulinemia), or a combination of both. This review outlines the major transcriptional factors and genes associated with adipogenesis and regulation of adipose tissue homeostasis and describes which of these are disrupted in MUO compared to MHO individuals. It also examines the potential role of pathogenic insulin hypersecretion as an extrinsic factor capable of driving the changes in adipose tissue which cause transition from MHO to MUO. On this basis, therapeutic approaches currently available and emerging to prevent and reverse the transition from MHO to MUO transition are reviewed.

Different aspects of electronic media use, symptoms and neurocognitive outcomes of children and adolescents in the rural Western Cape region of South Africa

BACKGROUND

Electronic media use is increasing in low- and middle-income countries, thus we aim to investigate the prevalence of different aspects of e-media use and its association to symptoms and neurocognitive outcomes in rural South Africa.

METHODS

In the cohort study, "Child health Agricultural Pesticide study in South Africa (CapSA)", of 1001 children and adolescents, aged 9-16 years, we enquired at baseline about the following aspects of e-media use: (1) call duration (2) total screen time (3) night-time awakenings from mobile phone use, and (4) Mobile Phone Problematic Use. Four health outcomes were included: sleep disturbance, health related quality of life (HRQoL), headaches and cognitive performance, assessed through six tests on domains of attention, memory and processing speed, using the iPad-based software, CAmbridge Neuropsychological Test Automated Battery (CANTAB). Linear regression analysis adjusted for relevant confounders was conducted with categorized exposure variables low, medium and high use.

RESULTS

One third of the cohort (31.8%) are mobile phone users reporting average duration of calls per day up to 75 min (mean = 2.5 mins; SD = 8.9 mins). Amongst 46% of the cohort who report e-media device use, total screen time ranged from 1 min to 441 min (mean = 28.3; SD = 53.0). Findings Amongst those reporting regular night-time awakenings (≥1 times per week) from mobile phones, HRQol declined by 2.9 (95% CI: -6.1, 0.3), the sleep disturbance score increased by 2.0 (1.1, 2.9) units and headache impact score significantly increased by 5.4 (2.6; 8.2) units compared to non-exposed. Cognitive performance scores tended to be slightly improved mostly in moderate e-media users. The reaction response speed was consistently improved amongst all four exposure groups compared to non-users.

CONCLUSION

These results are among the first from Africa on benefits and risks associated with e-media use. Our findings imply that with regard to the education of adolescents, a vigilant balance is needed to profit from the beneficial effects of moderate e-media use on cognition, while preventing the negative side effects for HRQoL, sleep disturbance and headache severity.

[Mediators of Problematic Social Media Use in Adolescence as Possible Mechanisms of Change in Psychotherapy]

Mediators of Problematic Social Media Use in Adolescence as Possible Mechanisms of Change in Psychotherapy Social media are omnipresent in the lives of adolescents. Problematic use of social media has been linked to adverse mental health outcomes including depression, anxiety, suicidality, self-harm, body dissatisfaction and eating pathology. Preliminary evidence suggests that interventions aiming at reducing the amount of time spent in social media and changing dysfunctional beliefs about social media use are promising. However, the mechanisms of change of these interventions with regard to mental health remain unclear. Therefore, this review first provides an overview of the association between social media and mental health and then identifies mediators of this relationship as potential mechanisms of change of interventions targeting problematic media use in adolescents. The identified mediators encompass social comparison, decreased self-esteem, fear of missing out, sleep problems and increased rumination. Future studies should apply a longitudinal design, should investigate additional confounding variables (e. g. age, level of psychopathology) and should also focus on positive effects of social media use on mental health. Thereby, this line of research has the potential to improve our understanding how social media use exerts its effects and based thereupon to develop new or optimize current interventions on problematic social media use to improve mental health in adolescents by targeting the identified mediators.

Loneliness in the lives of Danish adolescents: Associations with health and sleep

Aims: We examined the relationship between loneliness and health among young adolescents. We also investigated the validity of a single-item measure of loneliness by comparing this to a composite score. Methods: The current data come from a nationally representative sample of 11- to 15-year-old adolescents (N=3305; F=52%) from Denmark collected in 2014 as part of the Health Behaviour in School-aged Children (HBSC) collaborative cross-national survey. Results: A series of binary logistic regressions showed that higher loneliness among adolescents, whether measured using the single- or multi-item measurement, was associated with poorer self-rated health, higher frequency of headache, stomach ache, backache, difficulties sleeping, greater sleep disturbance and more instances of feeling tired in the morning. Those associations were relatively consistent across sex and age groups. Conclusions:Loneliness is associated with poorer self-reported health and sleep problems among young adolescents. Those findings are similar across two measures of loneliness, suggesting robust findings. The development of interventions and health-education efforts to fight loneliness in adolescence is important.

Effects of Mobile Use on Subjective Sleep Quality

PURPOSE

The objective of this study was to find out the association between mobile use and physiological parameters of poor sleep quality. It also aimed to find out the prevalence of mobile-related sleep risk factors (MRSRF) and their effects on sleep in mobile users.

MATERIALS AND METHODS

This cross-sectional study was conducted on 1925 students (aged 17-23yrs) from multiple Colleges of Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. The study tools used were Pittsburgh sleep quality index (PSQI) and MRSRF online questionnaires.

RESULTS

The mean age (±SD) of participants was 19.91 ± 2.55 years. Average mobile screen usage time was 8.57±4.59/24 hours, whereas average mobile screen usage time in the bed after the lights have been turned off was 38.17±11.7 minutes. Only 19.7% of subjects used airplane mode, while 70% kept the mobile near the pillow while sleeping. The blue light filter feature was used by only 4.2% of the participants. "Screen usage time of ≥8 hours" was positively correlated with sleep disturbances and decrease in the length of actual sleeping time (p =0.023 and 0.022). "Using the mobile for at least 30 minutes (without blue light filter) after the lights have been turned off" showed positive correlation with poor sleep quality, daytime sleepiness, sleep disturbances and increased sleep latency (p= 0.003, 0.004 and 0.001). "Keeping the mobile near the pillow while sleeping" was also positively correlated with daytime sleepiness, sleep disturbances and increased sleep latency (p =0.003, 0.004 and 0.001).

CONCLUSION

This study concludes that using mobile screen ≥8 hours/24 hours, using the mobile for at least 30 minutes before sleeping after the lights have been turned off and keeping the mobile near the pillow are positively associated with poor sleep quality. Moreover, we observed that MRSRF were highly prevalent amongst the mobile users.

The association between excessive screen-time behaviors and insufficient sleep among adolescents: Findings from the 2017 youth risk behavior surveillance system

Although studies have examined the association between television viewing and poor sleep quality, few studies have considered the association between excessive screen-time behaviors and insufficient sleep among adolescents drawing on a large nationally representative sample. The objective of this study was to examine the association between excessive screen-time behaviors and insufficient sleep among adolescents. Data for this study came from the 2017 Youth Risk Behavior Survey. A sample of 14,603 adolescents aged 14-18 years (51.5% female) was analyzed using logistic regression with insufficient sleep as the outcome variable and excessive screen-time behaviors as the main explanatory variable. Of the 14,603 adolescents, almost three out of four (74.8%) had less than 8 h of sleep on an average school night, and about 43% engaged in excessive screen-time behaviors on an average school day. Controlling for all other predictors, odds were 1.34 times higher for adolescents who engaged in excessive screen-time behaviors to have insufficient sleep when compared to adolescents who did not engage in excessive screen-time behaviors (AOR = 1.34, p < .001, 95% CI = 1.22-1.48). School-based behavior interventions that focus on reduction in excessive screen-time and sedentary behaviors might be beneficial in reducing excessive screen-time behaviors and consequently improve sleep quality among adolescents.

Processed data on the night-time use of screen-based media devices and adolescents' sleep quality and health-related quality of life

The data presented in this article relate to the research article entitled “Night-time screen-based media device use and adolescents' sleep and health-related quality of life”. The present data reports findings from the investigation of the relationship between night-time screen-based media devices (SBMD) use and both sleep quality and health-related quality of life (HRQoL) among 11 to 12-year-olds. Baseline data from a large cohort of 6,616 adolescents from 39 schools in and around London, UK, participating in the Study of Cognition Adolescents and Mobile Phone (SCAMP) were analysed. Self-report data on adolescents’ use of any SBMD (mobile phone, tablet, laptop, television etc.) were the main exposures of interest. Mobile phone and television were the most commonly used portable and non-portable device, respectively. Sleep variables were derived from self-reported weekday and/or weekend bedtime, sleep onset latency (SOL) and wake time. Sleep quality was assessed using four standardised dimensions from the Swiss Health Survey. HRQoL was estimated using the KIDSCREEN-10 questionnaire.