A latent growth curve model to estimate electronic screen use patterns amongst adolescents aged 10 to 17 years

Trajectories of Loneliness During Adolescence Predict Subsequent Symptoms of Depression and Positive Wellbeing

There is a need to identify the outcomes of changes in loneliness during adolescence, and to consider this within a multidimensional framework of loneliness. This study considered the effects of different trajectories of change in Isolation Loneliness and in Friendship Loneliness upon both positive wellbeing and symptoms of depression. To achieve this, 1782 (43% female; 12.92 years old at the start of the study, SD = 1.60) young people took part in a longitudinal study with four data points across 2 years. Four Isolation Loneliness trajectories and five Friendship Loneliness trajectories were identified. Youth who experienced low levels of Isolation Loneliness that subsequently increased appear to be at particular risk for poor outcomes. Similarly, initially high levels of Friendship Loneliness that decreased rapidly, or which began at a low level and only increased marginally, seem to also be a risk. Loneliness is a multi-dimensional construct and its development during adolescence impacts upon young people's depressive symptomatology and positive mental wellbeing.

Application progress of latent class growth models in dynamic prevention and control strategies for acquired immunodeficiency syndrome

The prevention and control requirements for HIV/AIDS vary significantly among different populations, posing substantial challenges to the formulation and implementation of intervention strategies. Dynamically assessing the heterogeneity and disease progression trajectories of various groups is crucial. Latent class growth model (LCGM) serves as a statistical approach that fits a longitudinal data into N subgroups of individual development trajectories, identifying and analyzing the progression paths of different subgroups, thereby offering a novel perspective for disease control strategies. LCGM has shown significant advantages in the application of HIV/AIDS prevention and control, especially in gaining a deeper understanding and analysis of epidemiological characteristics, risk behaviors, psychological research, heterogeneity in testing, and dynamic changes. Summarizing the advantages and limitations of applying LCGM can provide a reliable basis for precise prevention and control of HIV/AIDS.

Youth screen use in the ABCD® study

Adolescent screen usage is ubiquitous and influences development and behavior. Longitudinal screen usage data coupled with psychometrically valid constructs of problematic behaviors can provide insights into these relationships. We describe methods by which the screen usage questionnaire was developed in the Adolescent Brain Cognitive Development (ABCD) Study, demonstrate longitudinal changes in screen usage via child report and describe data harmonization baseline-year 2. We further include psychometric analyses of adapted social media and video game addiction scales completed by youth. Nearly 12,000 children ages 9-10 years at baseline and their parents were included in the analyses. The social media addiction questionnaire (SMAQ) showed similar factor structure and item loadings across sex and race/ethnicities, but that item intercepts varied across both sex and race/ethnicity. The videogame addiction questionnaire (VGAQ) demonstrated the same configural, metric and scalar invariance across racial and ethnic groups, however differed across sex. Video gaming and online social activity increased over ages 9/10-11/12 (p's < 0.001). Compared with boys, girls engaged in greater social media use (p < .001) and demonstrated higher ratings on the SMAQ (p < .001). Compared with girls, boys played more video games (p < .001) and demonstrated higher ratings on the VGAQ (p < .001). Time spent playing video games increased more steeply for boys than girls from age 9/10-11/12 years (p < .001). Black youth demonstrated significantly higher SMAQ and VGAQ scores compared to all other racial/ethnic groups. These data show the importance of considering different screen modalities beyond total screen use and point towards clear demographic differences in use patterns. With these comprehensive data, ABCD is poised to address critical questions about screen usage changes across adolescence.

Digital Engagement and Academic Functioning

Abstract. Since the turn of the millennium, the digital revolution has opened a new layer of opportunities for adolescents to participate, create and learn. Simultaneously there has been growth in both debate and worries regarding how the intensive engagement with digital media affects students’ academic performance, engagement, and school-related well-being, that is, academic functioning. Students’ continuously evolving digital practices are not always in congruence with the more traditional ways of schoolwork. Students flourish and fulfill their potential when the informal and formal practices of learning reach congruence, but when this is not the case, frictions can emerge. Spending time with digital media can provide new avenues for learning and development, but it can equally well divert young people from their studies or increase the daily demands. In this narrative review, we address these continuities and discontinuities between engagement with digital media and academic functioning for school-aged children and young people, focusing on meta-analyses, reviews, and key studies. Following the examination of the current literature, we conclude that, in general, the field of “digital media effects” needs to move beyond screen time and utilize the research on the students’ multidimensional socio-digital engagement already conducted. Second, we conclude that the average effects of digital engagement on academic functioning are negligibly small but heterogeneous, further corroborating the claim to examine the qualitative differences in students’ digital engagement, the individual differences between students, as well as the contextual interplay.

The association between screen time and reported depressive symptoms among adolescents in Sweden

BACKGROUND

How screen use is associated with adolescents' mental health has been widely debated in public media during the last decade, but there is still lack of information about if and how the associations vary between types of electronic media.

OBJECTIVE

This study aimed to examine how time spent on types of screen use (social media, gaming alone, gaming in groups and watching TV) was associated with depressive symptoms among adolescents in Sweden, and whether gender moderated these associations.

METHODS

We analysed data from the Swedish section of the Children of Immigrants: Longitudinal Survey in Four European Countries. The final sample consisted of 3556 eighth grade adolescents in 2011 (51% girls). We used logistic regression analysis to estimate the odds ratio of feeling depressed often versus less often/not at all using time spent on different types of screen use as predictor variables. Additionally, we tested interaction effects between gender and the predictor variables.

RESULTS

Our results showed that spending more than 2 hours on social media was associated with higher odds of feeling depressed often compared with spending 2 hours or less. Not watching TV was associated with higher odds of feeling depressed often compared with watching TV. These patterns did not differ across genders. Gaming alone and gaming in groups were not associated with depressive symptoms.

CONCLUSIONS

Our findings suggest that more frequent social media use and not watching TV were associated with a higher level of depressive symptoms.

Limited Engaging and Interactive Online Health Information for Adolescents: A Systematic Review of Australian Websites

Adolescents need access to interactive and high-quality online health information about strategies to reduce their risk for non-communicable diseases (NCDs). This study aimed to evaluate the quality, readability and interactivity of webpages with adolescent-specific information on NCD risk factors. Included web pages were: (i) Australian-based; (ii) authored by government bodies or public health organizations; (iii) contained information relevant to NCD risk factors; and (iv) contained adolescent-specific information. In total, 69 web pages were included for evaluation (smoking, n = 6; nutrition, n = 22; alcohol, n = 15; physical activity n = 11; mental health, n = 6; health and obesity, n = 9). Content quality score (modified DISCERN tool) ±standard deviation ranged from fair (49.6 ± 13.6 for nutrition) to good quality (58.4 ± 11.0 for alcohol). Mean readability score (Flesch-Kincaid tool) found most webpages were difficult to read (49.6 ± 14.9, University student level). Adolescent-directed websites were written in plain English (62 ± 7.5, understood by 13-15-year-olds). Mean interactivity score indicated web pages were fairly interactive (13 ± 2.0). The study found very few webpages were written specifically for adolescents and no webpages were of excellent quality, highly interactive and written in plain English. Given the plethora of online health information from non-credible sources, we recommend public health organizations invest in co-designing excellent-quality and interactive online health information with adolescents.

Sleep duration over 28 years, cognition, gray matter volume, and white matter microstructure: a prospective cohort study

Study Objectives

To examine the association between sleep duration trajectories over 28 years and measures of cognition, gray matter volume, and white matter microstructure. We hypothesize that consistently meeting sleep guidelines that recommend at least 7 hours of sleep per night will be associated with better cognition, greater gray matter volumes, higher fractional anisotropy, and lower radial diffusivity values.

Methods

We studied 613 participants (age 42.3 ± 5.03 years at baseline) who self-reported sleep duration at five time points between 1985 and 2013, and who had cognitive testing and magnetic resonance imaging administered at a single timepoint between 2012 and 2016. We applied latent class growth analysis to estimate membership into trajectory groups based on self-reported sleep duration over time. Analysis of gray matter volumes was carried out using FSL Voxel-Based-Morphometry and white matter microstructure using Tract Based Spatial Statistics. We assessed group differences in cognitive and MRI outcomes using nonparametric permutation testing.

Results

Latent class growth analysis identified four trajectory groups, with an average sleep duration of 5.4 ± 0.2 hours (5%, N = 29), 6.2 ± 0.3 hours (37%, N = 228), 7.0 ± 0.2 hours (45%, N = 278), and 7.9 ± 0.3 hours (13%, N = 78). No differences in cognition, gray matter, and white matter measures were detected between groups.

Conclusions

Our null findings suggest that current sleep guidelines that recommend at least 7 hours of sleep per night may not be supported in relation to an association between sleep patterns and cognitive function or brain structure.

Contemporaneous trajectories of physical activity and screen time in adolescents

Adolescents often report low moderate-to-vigorous physical activity (MVPA) and high screen time. We modeled sex-specific MVPA and screen time trajectories during adolescence and identified contemporaneous patterns of evolution. Data were drawn from 2 longitudinal investigations. The Nicotine Dependence in Teens (NDIT) study included 1294 adolescents recruited at age 12-13 years who completed questionnaires every 3 months for 5 years. The Monitoring Activities of Teenagers to Comprehend their Habits (MATCH) study included 937 participants recruited at age 9-12 years who completed questionnaires every 4 months for 7 years. MVPA was measured as the number of days per week of being active for at least 5 min (NDIT) or 60 min (MATCH). In both studies, screen time was measured as the number of hours spent weekly in screen activities. In each study, sex-specific group-based trajectories were modeled separately for MVPA and screen time from grade 7 to 11. Contemporaneous patterns of evolution were examined in mosaic plots. In both studies, 5 MVPA trajectories were identified in both sexes, and 4 and 5 screen time trajectories were identified in boys and girls, respectively. All combinations of MVPA and screen time trajectories were observed. However, the contemporaneous patterns of evolution were favourable in 14%-31% of participants (i.e., they were members of the stable high MVPA and the lower screen time trajectories). Novelty: MVPA and screen time trajectories during adolescence and their combinations showed wide variability in 2 Canadian studies. Up to 31% of participants showed favourable contemporaneous patterns of evolution in MVPA and screen time. Using uniform methods for trajectory modeling may increase the potential for replication across studies.

A cross-sectional examination of the 24-hour movement behaviours in Canadian youth with physical and sensory disabilities

BACKGROUND

Canada's 24-Hour Movement Guidelines for Children and Youth provide daily recommendations for physical activity (PA), screen time, and sleep for optimal health. The appropriateness of such guidelines for youth with disabilities remains unknown.

OBJECTIVE

To cross-sectionally examine the 24-h movement behaviours and guideline adherence in youth (ages 12-21 years) with physical and sensory disabilities.

METHODS

54 youth with physical and sensory disabilities completed two, 24-h recalls to assess PA, sedentary behaviour, and sleep. Descriptive statistics were used to analyze behavioural patterns and guideline adherence. Gender and age differences were tested using analyses of variance and logistic regressions.

RESULTS

55.5%, 13.0%, and 53.7% of the sample met the individual guidelines for PA, sedentary behaviour, and sleep, respectively. 3.7% of the sample met all three movement guidelines. No significant gender or age differences in guideline achievement were found. Over a 24-h period, youth spent 77 (59) minutes engaging in moderate to vigorous PA, 252 (120) minutes engaging in sedentary activity, and 546 (90) minutes sleeping. Boys reported significantly more time (adjusted M_difference = 11 min) playing passive video games than girls.

CONCLUSION

Overall, our sample of youth with physical and sensory disabilities falls far short of meeting the Canadian 24-Hour Movement Guidelines for Children and Youth. The low proportion of youths' time spent engaging in sport and active play is concerning, highlighting the importance of creating access to these types of PA experiences for this population. Future population-based research is needed among children and youth with all types of disabilities to build an evidence-base of their movement behaviours.

Screen time and moderate-to-vigorous physical activity changes and displacement in adolescence: A prospective cohort study

BACKGROUND

This paper determines longitudinal changes in the time Spanish adolescents devote to moderate-to-vigorous physical activity (MVPA) and screen media activity (SMA). Moreover, it examines the displacement hypothesis between time spent on SMA and MVPA.

METHODS

A cohort of 755 adolescents participated in a prospective cohort study over a three-year period. Repeated measures ANOVA to highlight interaction effects among all variables and Structural Equation Modeling (SEM) techniques were employed.

RESULTS

Age and gender-related variations in longitudinal changes in time spent on MVPA and SMA evolved in the inverse direction (decreased on MVPA/increased on SMA) according to the ANOVA. The potential displacement between time spent on SMA and MVPA from Wave I to Wave II was analysed via SEM. The first model, estimated in the overall sample, showed no evidence for the displacement hypothesis. Subsequently, a multigroup sequence of panel models was performed and a partial displacement was observed only in boys. Hence, boys who spent more time on SMA were more likely to devote less time to MVPA three years later.

CONCLUSION

This study confirms the opposite trend on the time spent on MVPA and SMA over a three-year period, being clearly higher in SMA. Further SEM analyses reveal a deferred displacement hypothesis between SMA and MVPA only in boys. This partial gendered displacement may be linked to the different uses adolescents make of screen media. The incursion of new technological devices (smartphones or tablets) and their wide range of possibilities for social networking or gaming could explain this displacement.