The Conceptual and Methodological Mayhem of "Screen Time"

Adolescent digital emotion regulation

The maturation of effective emotion regulation (ER) skills is a core achievement of adolescence and youth are now developing their ER habits and skills in a hybrid reality of digital and non-digital experiences. We present a new model of adolescent digital emotion regulation as a conceptual framework to help guide burgeoning research in this area. We distinguish two primary processes: the regulation of emotions that have been elicited within digital contexts (i.e., the regulation of digitally induced emotions), and how youth regulate their emotions through digital means (i.e., digitally regulated emotion). Following the explication of different pathways in the model and consideration of the affordances of digital contexts, we highlight how this framework connects to theory and guides future research.

Early Childhood Screen Use Contexts and Cognitive and Psychosocial Outcomes: A Systematic Review and Meta-analysis

Importance

The multifaceted nature of screen use has been largely overlooked in favor of a simplistic unidimensional measure of overall screen time when evaluating the benefits and risks of screen use to early childhood development.

Objective

To conduct a systematic review and meta-analysis to examine associations of screen use contexts in early childhood with cognitive and psychosocial outcomes.

Data Sources

PsycINFO, Embase, MEDLINE Ovid, ProQuest, CINAHL, Web of Science, and Scopus were searched from inception to December 31, 2023.

Study Selection

A total of 7441 studies were initially identified. Studies were included if they examined associations between a contextual factor of screen use among children aged 0 to 5.99 years and cognitive or psychosocial development. Observational, experimental, and randomized clinical trial study designs were included.

Data Extraction and Synthesis

All studies were independently screened in duplicate following PRISMA guidelines. Effect sizes of associations (r) from observational studies were pooled using random-effects 3-level meta-analyses. The remaining study designs were narratively synthesized.

Main Outcomes and Measures

Screen use contexts included content (child directed and age inappropriate), type (program viewing and game or app use), co-use (or solo use), background television, caregiver screen use during child routines, and purpose. Outcomes were cognitive (executive functioning, language, and academic skills) or psychosocial (internalizing and externalizing behavior problems and socioemotional competence).

Results

Overall, 100 studies (176 742 participants) were included, and of these, 64 observational studies (pooled sample sizes ranging from 711 to 69 232) were included in meta-analyses. Program viewing (n = 14; k = 48; r, -0.16; 95% CI, -0.24 to -0.08) and background television (n = 8; k = 18; r, -0.10; 95% CI, -0.18 to -0.02) were negatively associated with cognitive outcomes, while program viewing (n = 6; k = 31; r, -0.04; 95% CI, -0.07 to -0.01), age-inappropriate content (n = 9; k = 36; r, -0.11; 95% CI, -0.17 to -0.04), and caregiver screen use during routines (n = 6; k = 14; r, -0.11; 95% CI, -0.20 to -0.03) were negatively associated with psychosocial outcomes. Co-use was positively associated with cognitive outcomes (n = 8; k = 28; r, 0.14; 95% CI, 0.03 to 0.25).

Conclusions and Relevance

Findings show small to moderate effect sizes that highlight the need to consider screen use contexts when making recommendations for families, clinicians, and educators beyond screen time limits; including encouraging intentional and productive screen use, age-appropriate content, and co-use with caregivers.

Screen viewing patterns and their association with mental wellbeing and psychological distress: a cross-sectional study amongst university students

BACKGROUND

Dependency on screen viewing (SV) has reached unprecedented levels, and mental health issues are becoming a major public health concern. However, the associations between SV, including variations in purposes, devices, and timing, and mental health remain unclear. This study aims to provide insights into these associations among university students.

METHODS

This analysis used baseline data from a longitudinal cohort study among first-year university students matriculating in the 2021-2022 academic year. Self-reported data on sociodemographics, health behaviors and mental health outcomes alongside anthropometric measurements were collected. Unadjusted and adjusted logistic regression analyses were conducted.

RESULTS

The average age of the 997 valid students was 20.2 years, with 59.6% being female and 41.4% male. Students spent 14.3 h daily on SV, with females reporting higher SV than males. Daily SV was predominant for study purposes (7.6 h/day). Computer usage was the highest (7.0 h/day), while TV usage was the lowest (1.7 h/day). Poor mental wellbeing was reported by 33.6% of students, while 13.9% experienced psychological distress. Compared to students with low total SV, those with high levels were more likely to have poor mental wellbeing [OR (95% CI): 1.40 (0.99, 1.98)] and psychological distress [1.56 (1.00, 2.44)]. High levels of recreational and study related SV were significantly associated with poor mental wellbeing [1.81 (1.27, 2.56)] and psychological distress [1.75 (1.11, 2.83)], respectively. Those with high levels of computer time were more likely to have poor mental wellbeing [1.44 (1.01, 2.06)], and high weekend day SV was associated with greater odds of psychological distress [2.16 (1.17, 4.06)].

CONCLUSIONS

SV among university students was high, as was the high prevalence of poor mental wellbeing and psychological distress. Greater SV was associated with poor mental wellbeing and psychological distress. Differences according to purpose of SV were noted. Although recreational SV was associated with poor mental wellbeing, study related SV was associated with psychological distress. Variations across different devices and timing were also noted. This highlights the need for further longitudinal research to understand the impact of SV on mental health and to guide interventions for promoting mental health of university students globally.

Screen Media Use and Mental Health of Children and Adolescents: A Secondary Analysis of a Randomized Clinical Trial

Importance

Excessive screen media use has been associated with poorer mental health among children and adolescents in several observational studies. However, experimental evidence supporting this hypothesis is lacking.

Objective

To investigate the effects of a 2-week screen media reduction intervention on children's and adolescents' mental health.

Design, Setting, and Participants

This prespecified secondary analysis of a cluster randomized clinical trial with a 2-week follow-up included 89 families (with 181 children and adolescents) from 10 Danish municipalities in the region of Southern Denmark. All study procedures were carried out in the home of the participants. Enrollment began on June 6, 2019, and ended on March 30, 2021. This analysis was conducted between January 1 and November 30, 2023.

Intervention

Families were randomly allocated to a screen media reduction group or a control group. The 2-week screen media reduction intervention was designed to ensure a high level of compliance to the reduction in leisure-time screen media use. Participants allocated to the intervention group had to reduce their leisure-time screen media use to 3 hours per week or less per person and hand over smartphones and tablets.

Main Outcomes and Measures

The main outcome was the between-group mean difference in change in total behavioral difficulties, measured by the Strengths and Difficulties Questionnaire at 2-week follow-up. Results were estimated using mixed-effects tobit regression models. Analyses were carried out as both intention to treat and complete case.

Results

In the sample of 89 families including 181 children and adolescents (intervention group [45 families]: 86 children; mean [SD] age, 8.6 [2.7] years; 42 girls [49%]; control group [44 families]: 95 children; mean [SD] age, 9.5 [2.5] years; 57 girls [60%]), there was a statistically significant between-group mean difference in the total difficulties score, favoring the screen media reduction intervention (-1.67; 95% CI, -2.68 to -0.67; Cohen d, 0.53). The greatest improvements were observed for internalizing symptoms (emotional symptoms and peer problems; between-group mean difference, -1.03; 95% CI, -1.76 to -0.29) and prosocial behavior (between-group mean difference, 0.84; 95% CI, 0.39-1.30).

Conclusions and Relevance

This secondary analysis of a randomized clinical trial found that a short-term reduction in leisure-time screen media use within families positively affected psychological symptoms of children and adolescents, particularly by mitigating internalizing behavioral issues and enhancing prosocial behavior. More research is needed to confirm whether these effects are sustainable in the long term.

Trial Registration

ClinicalTrials.gov Identifier: NCT04098913.

Examining the evidence between screen time and night eating behaviour with dietary intake related to metabolic syndrome: A narrative review

Screen time (ST) on digital devices has increased in recent decades due to digital development. Furthermore, constant engagement with digital devices alters sleep patterns, leading to nocturnal eating behaviour among users. These phenomena are therefore of great concern, as digital device addiction and night eating are associated with unhealthy food intake, increasing the metabolic syndrome (MetS) risks. The purpose of this review was to examine the evidence of the influence of ST and night eating behaviour (NEB) on dietary intake and its association with MetS based on previous literature. Prolonged ST and NEB have an association with excessive intake of energy from overconsumption of high-sugar and high-fat foods. However, the relationship between digital content and its influence on food intake is inconsistent. A higher MetS risk was found in individuals with longer ST due to a sedentary lifestyle, while positive energy balance and a shift in circadian rhythm contributed to night eaters. ST and NEB presented with a significant influence on food intake in adults. Additionally, unhealthy food intake due to excessive consumption of empty-calorie foods such as sweet and fatty foods due to addiction to electronic devices and eating at night has a detrimental effect on metabolic function. Therefore, improving food intake by reducing ST and night binges is essential to reduce the risk of MetS.

Increased screen time and its association to migraine and tension-type headache: a cross-sectional investigation among Bangladeshi students

Background

Increasing prevalence of screens among young people is a notable characteristic of the modern digital era. The study aimed to explore the prevalence and associated factors of migraine headache (MH) and tension-type headache (TTH) among Bangladeshi students continuing online education.

Methods

A total of 771 students were selected conveniently and using the quota sampling method. A pretested semistructured and self-administered questionnaire containing the background information, Headache Screening Questionnaire-English Version, Patient Health Questionnaire-9, Speech, Spatial and Qualities of Hearing scale and Insomnia Severity Index was used for data collection. Multivariate logistic regression analysis was conducted to explore the relationship between different headaches and screen use.

Results

The prevalence of MH, TTH and mixed headache (both MH and TTH) in the study population was 26.07%, 47.08% and 14.75%, respectively. Longer duration of online study (>12 months, adjusted ORs (AORs): 2.83, 95% CI 0 1.00 to 8.00), history of eye problem (AOR: 1.48, 95% CI 1.01 to 2.17), insomnia (AOR: 1.53, 95% CI 1.01 to 2.33) and moderate-to-severe depression (AOR: 2.35, 95% CI 1.55 to 3.56) were significantly associated with migraine headache. Conversely, longer duration of online study (>12 months, AOR: 2.87, 95% CI 1.40 to 5.86), moderate-to-severe depression (AOR=1.47, 95% CI 1.05 to 2.10) and use of multiple devices (AOR<1) for online study were significantly associated with TTH. In addition, longer duration of screen exposure (for >12 months, AOR: 4.56, 95% CI 0.99 to 20.93), moderate-to-severe depression (AOR: 2.25, 95% CI 1.37 to 3.72) and family history of headache (AOR: 2.66, 95% CI 1.65 to 4.29) were associated with mixed headache.

Conclusion

Considering the current prevalence of TTH and MH among students and their relationship with screentime, providing health education on the proper use of electronic devices can be a promising strategy in mitigating the negative consequences.

Not screens but their context of use impact cognitive development: a commentary on Yang et al. (2023)

There have been extensive debates about the impact of the digital transformation on human development. A recent study by Yang and colleagues highlights the importance of considering context of use, beyond amount of use. In their study, children from parents who reported having TV-on during family meals when they were 2 years old showed poorer cognitive development at age 3.5 as compared to those with TV-off during family meals. This highlights the importance of considering the context of use when studying effect of screen use. While Yang et al. discuss the distracting effects of TV-on sensory processing, we propose an alternative - and not mutually exclusive - interpretation based on TV induced deprivation of family interactions. On a more practical note, this should encourage to preserve screen-free time, especially during structured time such as family meals, in order to maintain family interactions known to be critical to development.

Validation of the Appearance-Related Social Media Consciousness Scale with Chinese adolescents and young adults

Research has revealed a negative association between appearance-related social media consciousness (ASMC) and mental health, but the impact of this association in the Chinese population remains understudied. This study examined the psychometric properties of the ASMC scale among Chinese adolescents and young adults and to further investigate the scale's measurement invariance and differences in ASMC across gender and age groups. Exploratory and confirmatory factor analyses were conducted to examine the ASMC scale's factorial structure among Chinese adolescents and young adults, including 1109 adolescents (50.0% boys) aged 12-18 (mean, 14.89) years and 457 young adults (42.5% men) aged 18-25 (mean, 20.75) years. The measurement invariance across gender and age groups, internal consistency and convergent validity were examined. ASMC scale was found to have a unidimensional structure and to be invariant across gender and age groups. It exhibited excellent internal consistency and strong construct validity. Moderate gender differences and pronounced age differences in ASMC scale scores were observed. Our findings support the validity of the ASMC scale as an effective instrument for the measurement of appearance-related social media consciousness experience among Chinese young adults and adolescents. Further study is required to evaluate the status of ASMC as a risk factor for disordered eating and target for preventive interventions within Chinese samples.

Infant screen media and child development: A prospective community study

The current study examined longitudinal associations between early screen media exposure (assessed at 6, 12, and 24 months) and the child's motor and language/communication development at the ages of 24 and 36 months. We also aimed to study whether these associations varied by socioeconomic status (SES). Participants were 179 parent-infant dyads, recruited from well-baby clinic services during routine visits. Child development measures included standardized measures of developmental milestones as assessed by professionals and referral data to child developmental centers. Both measures were retrieved from the official health maintenance organization records by an expert in child development. Results indicated that screen exposure at 6 and 12 months was associated with a higher risk for language/communication deficits at 36 months in children with moderate or high SES but not in children with low SES. Our findings are consistent with existing literature demonstrating cross-sectional and longitudinal associations between early screen exposure and language development deficits. Given that media use practices and motivations vary among families from different backgrounds, further investigation of the interaction between SES and screen exposure is needed.

Screen Time and Child Behavioral Disorders During COVID-19 Pandemic: A Systematic Review

Background

The extensive use of various electronic games and communication devices, particularly among children and adolescents, has raised concerns, particularly during the COVID-19 pandemic. This study investigated the link between screen time and internalizing disorders, such as anxiety and depression, among individuals aged ≤18 during the global COVID-19 pandemic.

Methods

This systematic review aims to summarize scientific publications from 2019 to early 2022 by searching databases, including the Cochrane Library, PubMed, Web of Science, Scopus, and PsycINFO, to identify suitable studies. In each paper, we searched the following keywords and their synonyms: screen, child, high school, middle school, and psychiatric disorders. The quality of the selected papers was evaluated using a checklist recommended by the National Institutes of Health (NIH) for observational cohort studies.

Results

Out of 986 reports identified, we included 12 papers with 14,483 participants. The study revealed a negative correlation between screen time (TV, computer, video games, and mobile phones) and behavioral outcomes. Smartphones were the most frequently used devices, with video games being more prevalent among older participants for education, communication, and entertainment purposes. The prevalence of depression ranged between 10% and 25%. Furthermore, anxiety and depression were identified as predictors of increased screen usage. Some results displayed variation based on the type of screen exposure, the questionnaires used, and the age of the participants.

Conclusions

The findings imply an indirect association between increased screen time and depression and anxiety. It is crucial to consider limitations on screen time exposure and parental supervision as measures to prevent certain mental disorders.

The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review

BACKGROUND

Objective measures of screen time are necessary to better understand the complex relationship between screen time and health outcomes. However, current objective measures of screen time (e.g., passive sensing applications) are limited in identifying the user of the mobile device, a critical limitation in children's screen time research where devices are often shared across a family. Behavioral biometrics, a technology that uses embedded sensors on modern mobile devices to continuously authenticate users, could be used to address this limitation.

OBJECTIVE

The purpose of this scoping review was to summarize the current state of behavioral biometric authentication and synthesize these findings within the scope of applying behavioral biometric technology to screen time measurement.

METHODS

We systematically searched five databases (Web of Science Core Collection, Inspec in Engineering Village, Applied Science & Technology Source, IEEE Xplore, PubMed), with the last search in September of 2022. Eligible studies were on the authentication of the user or the detection of demographic characteristics (age, gender) using built-in sensors on mobile devices (e.g., smartphone, tablet). Studies were required to use the following methods for authentication: motion behavior, touch, keystroke dynamics, and/or behavior profiling. We extracted study characteristics (sample size, age, gender), data collection methods, data stream, model evaluation metrics, and performance of models, and additionally performed a study quality assessment. Summary characteristics were tabulated and compiled in Excel. We synthesized the extracted information using a narrative approach.

RESULTS

Of the 14,179 articles screened, 122 were included in this scoping review. Of the 122 included studies, the most highly used biometric methods were touch gestures (n = 76) and movement (n = 63), with 30 studies using keystroke dynamics and 6 studies using behavior profiling. Of the studies that reported age (47), most were performed exclusively in adult populations (n = 34). The overall study quality was low, with an average score of 5.5/14.

CONCLUSION

The field of behavioral biometrics is limited by the low overall quality of studies. Behavioral biometric technology has the potential to be used in a public health context to address the limitations of current measures of screen time; however, more rigorous research must be performed in child populations first.

SYSTEMATIC REVIEW REGISTRATION

The protocol has been pre-registered in the Open Science Framework database ( https://doi.org/10.17605/OSF.IO/92YCT ).

An umbrella review of the benefits and risks associated with youths' interactions with electronic screens

The influence of electronic screens on the health of children and adolescents and their education is not well understood. In this prospectively registered umbrella review (PROSPERO identifier CRD42017076051 ), we harmonized effects from 102 meta-analyses (2,451 primary studies; 1,937,501 participants) of screen time and outcomes. In total, 43 effects from 32 meta-analyses met our criteria for statistical certainty. Meta-analyses of associations between screen use and outcomes showed small-to-moderate effects (range: r = -0.14 to 0.33). In education, results were mixed; for example, screen use was negatively associated with literacy (r = -0.14, 95% confidence interval (CI) = -0.20 to -0.09, P ≤ 0.001, k = 38, N = 18,318), but this effect was positive when parents watched with their children (r = 0.15, 95% CI = 0.02 to 0.28, P = 0.028, k = 12, N = 6,083). In health, we found evidence for several small negative associations; for example, social media was associated with depression (r = 0.12, 95% CI = 0.05 to 0.19, P ≤ 0.001, k = 12, N = 93,740). Limitations of our review include the limited number of studies for each outcome, medium-to-high risk of bias in 95 out of 102 included meta-analyses and high heterogeneity (17 out of 22 in education and 20 out of 21 in health with I2 > 50%). We recommend that caregivers and policymakers carefully weigh the evidence for potential harms and benefits of specific types of screen use.

Associations between digital media use and psychotic experiences in young adults of Quebec, Canada: a longitudinal study

PURPOSE

Digital media use has been associated with psychotic experiences in youth from the community, but the direction of association remains unclear. We aimed to examine between- and within-person associations of digital media use and psychotic experiences in youth.

METHODS

The sample included 425 participants aged 18-25 years (82.5% female) from the community, followed between May 2021 and January 2022 over 3 time points-of which 263 participants (61.9%) completed at least 2. Digital media use was self-reported as time spent daily on TV and streaming platforms, social media, and video games over the past 3 months. Psychotic experiences in the past 3 months were measured with the 15-item Community Assessment of Psychic Experiences. Associations between digital media use and psychotic experiences were estimated using a random-intercept cross-lagged panel model.

RESULTS

On average, individuals who reported greater digital media use also reported higher levels of psychotic experiences (r = 0.34, 95% CI 0.15, 0.53). However, a person's variation in digital media use, relative to their personal average, was not significantly associated with subsequent variations in their levels of psychotic experiences, or vice-versa. Results were similar across TV/streaming, social media and video game use, and after adjusting for age, sex, education, sleep, physical activity, and cannabis use.

CONCLUSION

Individuals with a tendency for higher levels of digital media use also had a tendency for higher levels of psychotic experiences. Understanding this association may help personalize mental health interventions for people with psychotic experiences, which may be offered digitally to promote their accessibility.

Managing Screen Use in the Under-Fives: Recommendations for Parenting Intervention Development

The impact of excessive screen use on children's health and development is a public health concern and many countries have published recommendations to limit and guide the use of screen media in childhood. Despite this, international studies report that the majority of parents and children do not adhere to screen use recommendations. Existing research aiming to understand children' screen use has largely focused on older children, and on demographic and structural aspects of the child's environment. Parents play a central role in determining young children's screen use and identify numerous barriers to developing healthy screen use practices with their children. However, no clear models exist that incorporate key parenting factors in understanding children's screen use, which presents an impediment to intervention development. Likewise, while some evidence exists for interventions to improve children's screen use behaviours, most are focused on older children and parental involvement has generally been limited. In this paper, we overview key factors associated with screen use in young children (< 5 years) and summarise the existing evidence base for interventions designed to support healthy screen use. This paper proposes a conceptual model linking aspects of parenting and the socio-ecological environment to young children's screen use. Our proposed model could be used to design longitudinal studies of screen use predictors and outcomes, and inform intervention development. Finally, the paper provides key recommendations for future research, intervention development and testing.

ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones

As our interactions with each other become increasingly digitally mediated, there is growing interest in the study of people's digital experiences. To better understand digital experiences, some researchers have proposed the use of screenomes. This involves the collection of sequential high-frequency screenshots which provide detailed objective records of individuals' interaction with screen devices over time. Despite its usefulness, there remains no readily available tool that researchers can use to run their own screenome studies. To fill this gap, we introduce ScreenLife Capture, a user-friendly and open-source software to collect screenomes from smartphones. Using this tool, researchers can set up smartphone screenome studies even with limited programming knowledge and resources. We piloted the tool in an exploratory mixed-method study of 20 college students, collecting over 740,000 screenshots over a 2-week period. We found that smartphone use is highly heterogeneous, characterized by threads of experiences. Using in-depth interviews, we also explored the impact that constant background surveillance of smartphone use had on participants. Participants generally had slight psychological discomfort which fades after a few days, would suspend screen recording for activity perceived to be extremely private, and recounted slight changes in behavior. Implications for future research is discussed.

Association between screen time and depressive symptoms in a sample of Chinese medical students: Mediator role of empathy

Medical students are at high risk of psychological subhealth under heavy stress with increasing screen time. This study aimed to explore the association between screen time and depressive symptoms and determine empathy as a mediating factor. In this cross-sectional study, a total of 945 medical students were surveyed, and 924 medical students were ultimately included after standard exclusion criteria. They reported their daily screen time and completed the Chinese version of the Jefferson Scale of Empathy-Student Version (JSE-S) and the Self-Rating Depression Scale (SDS). t tests and analysis of variance showed a significant difference in empathy and depressive symptoms by sex, stage, and screen time. The correlation analysis revealed that both affective and cognitive empathy have inverse associations with depressive symptoms. The mediation model confirmed that cognitive empathy played a positive mediating role between screen time and depressive symptoms, reducing the impact of screen time on depressive symptoms. Our study may add empirical evidence to prevent and intervene in depressive symptoms. These findings call for considering controlling screen time and enhancing cognitive empathy as interventions for medical students' depressive symptoms.

Linking video chatting, phone calling, text messaging, and social media with peers to adolescent connectedness

For 14 days three times per day (6072 observations), adolescents (N = 207, Mage  = 15.45 years) reported their digital (i.e., video chatting, texting, social media, and phone calling) communication with peers and their social connectedness. Controlling for in-person interactions, adolescents felt more connected in hours when they had communicated with peers by video chatting, texting, or social media, but not phone calling. Girls communicated with peers via text and social media more than boys, and boys talked on the phone more than girls. Boys who talked, texted, or video chatted more on average reported higher connectedness on average, whereas girls did not. As the links with connectedness were only found at the hourly- and not the daily level, results highlight that a sense of connectedness from digital media may be fleeting in nature.

Development of a Protocol for Objectively Measuring Digital Device Use in Youth

INTRODUCTION

Screen time is predominantly measured using questionnaires assessing a limited range of activities. This project aimed to develop a coding protocol that reliably identified screen time, including device type and specific screen behaviors, from video-camera footage.

METHODS

Screen use was captured from wearable and stationary PatrolEyes video cameras in 43 participants (aged 10-14 years) within the home environment (May-December 2021, coding in 2022, statistical analysis in 2023). After extensive piloting, the inter-rater reliability of the final protocol was determined in 4 coders using 600 minutes of footage from 18 participants who spent unstructured time on digital devices. Coders independently annotated all footage to determine 8 device types (e.g., phone, TV) and 9 screen activities (e.g., social media, video gaming) using Observer XT (behavioral coding software). Reliability was calculated using weighted Cohen's κ for duration per sequence (meets criteria for total time in each category) and frequency per sequence (meets criteria for total time in each category and order of use) for every coder pair on a per-participant and footage type basis.

RESULTS

Overall reliability of the full protocol was excellent (≥0.8) for both duration per sequence (κ=0.89-0.93) and the more conservative frequency per sequence (κ=0.83-0.86) analyses. This protocol reliably differentiates between different device types (κ=0.92-0.94) and screen behaviors (κ=0.81-0.87). Coder agreement ranged from 91.7% to 98.8% across 28.6-107.3 different instances of screen use.

CONCLUSIONS

This protocol reliably codes screen activities in adolescents, offering promise for improving the understanding of the impact of different screen activities on health.

Knowledge is power: Relationship between professional recommendations, maternal attitudes, and screen time exposure of infants

PURPOSE

The American Academy of Pediatrics (AAP) and the World Health Organization (WHO) recommend infants avoid screen media exposure, yet most infants are regularly exposed. This study aimed to explore screen exposure, maternal attitudes regarding screen media effects, and pediatricians' recommendations to better understand widespread screen media use with infants younger than 18 months of age in hopes of informing mitigation efforts.

DESIGN AND METHODS

Surveys consisting of 10 Likert-style questions were distributed real-time to a purposive sample of 193 mothers with infants 18 months of age or younger in Georgia, Pennsylvania, and New York.

RESULTS

Seventy-nine percent of infants exceeded AAP/WHO guidelines and 61% of respondents couldn't recall receiving pediatrician recommendations regarding screen exposure for their infant. Mothers with higher levels of education were associated with an accurate reflection of the adverse effects of screen usage on infant development (ANOVA; F = 10.122; df = 3; p < .001). Accurate maternal attitudes regarding adverse effects on infants was associated with less daily screen exposure (Spearman correlation; r = -0.428; p < .001).

CONCLUSIONS

Findings suggest that knowledge about adverse side effects of screen media usage with infants is associated with less daily exposure; and, that pediatricians may not routinely review guidelines for infants with their families, underscoring the importance of other methods of knowledge dissemination.

PRACTICE IMPLICATIONS

Nurses, as trusted healthcare providers, can provide counseling on infant screen media usage creating an opportunity for augmented knowledge dissemination across maternal demographics potentially leading to less screen exposure in this vulnerable population.

Editorial: Benign Versus Problematic Media Use Profiles in Youth: Correlates, Concerns, and Future Directions

The potential impact of screen media activity (SMA) on youth development is a topic of heated debate, with inconsistent findings and concerns about SMA measurement.1 There is a growing call for more precise measurement and analyses of SMA, focusing more on how (in what way youth are using screens) and less on how much (aggregate screen time). There is also a need to distinguish normative vs problematic SMA (eg, addiction-like behaviors)2,3 in youth. In the current issue, Song et al.4 advance this field by using a sophisticated assessment of SMA, considering problematic vs benign SMA profiles, and exploring associations between SMA and measures of brain and behavior.

Exploring the perception of parents on children's screentime: a systematic review and meta-synthesis of qualitative studies

BACKGROUND

Screentime (ST) has been increasingly pervasive in young children. Evidence suggests positive and negative effects of ST on children's development. Parents play a crucial role in influencing their children's ST. There is limited research consolidating the parental perceptions related to children's ST. This review consolidates the evidence on the perception of parents on their children's ST.

METHODS

Six electronic databases (PubMed, Embase, CINAHL, PsycINFO, Scopus, and ProQuest) were searched from their inception to September 2022. Critical appraisal was conducted using the Critical Appraisal Skills Program (CASP) checklist. Data synthesis was performed using Sandelowski and Barroso's approach.

RESULTS

Twenty studies were included in this review, encapsulating the experiences of 1,311 parents. Three main themes with corresponding subthemes were identified: (1) Varied reasons behind ST; (2) Attitudes toward ST; and (3) Strategies and approaches to managing ST.

CONCLUSION

The findings highlighted the varied reasons parents promote ST. Parents reported their concerns and confusion about ST and shared some strategies and approaches for better ST. Future research is needed to develop and evaluate educational programs to ensure that parents understand the risks and benefits of ST and in turn, ensure the appropriate adoption of ST for their children.

IMPACT

In the digital era, parents' attitudes towards screentime (ST) for their children are mixed. This review presents the dilemma parents face and their struggles with using optimal screen time for their children. This review provides up-to-date evidence on the parents' confusion and concerns about ST as well as strategies and approaches used by the parents for better ST. There is an urgent need for evidence-based educational programs to enhance parental knowledge about ST so that they can ensure appropriate ST among children.

CLINICAL TRIAL REGISTRATION

PROSPERO Registration No. CRD42022356083.

Cross-Sectional Associations of Screen Time Activities With Alcohol and Tobacco Consumption Among Brazilian Adolescents

Objectives: Little is known about the association between specific types of screen time and adolescents' substance use. Thus, this study aimed to investigate the associations between screen time for studying, working, watching movies, playing games, and using social media and frequency of alcohol and tobacco use. Methods: In this cross-sectional study, Brazilian adolescents answered survey questions related to frequency of tobacco and alcohol consumption, and reported their daily volume of five types of screen time. Multilevel ordered logistic regression models were performed. Results: Each 1-hour increase in ST for studying was associated with 26% lower odds of smoking (OR = 0.74; 95% CI: 0.61-0.90) and 17% lower odds of drinking alcohol (OR = 0.83; 95% CI: 0.76-0.91) in the past 30 days. The increase of 1 hour of social media use was associated with 10% greater odds of smoking (OR = 1.10; 95% CI: 1.02-1.18) and a 13% greater chance of consuming alcohol (OR = 1.13; 95% CI: 1.08-1.18) in the past 30 days. Conclusion: The association between screen time and substance use appears to be type-specific. Future longitudinal research is needed to explore causal relationships.

Passive and social screen time in children with autism and in association with obesity

Background

Screen time has been identified as a risk factor for childhood obesity, but the media landscape has evolved rapidly. Children with autism tend to be heavy users of screens and have an elevated prevalence of obesity. We know little about screen use patterns among children with autism vs. typically developing (TD) peers and in association with obesity.

Methods

Baseline data from 10,842 participants in the Adolescent Brain Cognition Development Study was used to characterize time spent with child-reported passive screen use (television/movies/watching videos), playing video games, and using social media. Duration of screen time by autism status and gender was summarized as mean time per day; obesity was defined using CDC/WHO criteria. A propensity score analysis was used to create a matched dataset for analysis.

Results

Overall, 1.7% of children were was identified as having autism. Significant mean differences were observed by autism status and gender for both passive viewing and playing video games. Compared to TD children, boys with autism spent more time (2.9 vs. 2.3 h, p < 0.001) watching TV, movies or videos, as did girls (3.0 vs. 2.0 h, p = 0.002). Compared to TD peers, boys with autism reported more video game time (102.7 vs. 77.5 min, p = 0.001), as did girls with autism (64.4 vs. 37.9 min, p = 0.03); girls with autism also spent more time on social media sites or video chat (45.5 vs. 21.9 min, p = 0.04). Overall, obesity prevalence increased with increasing screen time duration, significantly for passive screen time (p-value = 0.002) and texting (p-value = 0.02). Associations between obesity and screen time duration did not differ by autism status.

Discussion

Children with autism spend more time playing video games and on passive and social screen activities than their TD peers, with some variations by gender. High rates of social media use among girls with autism and multiplayer video game use among both boys and girls with autism may challenge the notion that the high levels of screen time reflect social isolation in the group. Given potential positive aspects of screen time in children with autism movement to focus on content and context is appropriate.

Taking a nuanced look at adolescent technology use and negative affect: the protective role of preparedness

Adolescents are online more than any other age group, with the majority of their time on social media. Increases in technology use among adolescents have heightened conversations regarding its effects on their negative affect. There have been mixed findings regarding the relationship between technology use and adolescent negative affect; some studies present a negative association or no association, and some show a positive association. To clarify this relationship, we propose moving away from asking only how much adolescents use technology to asking how and what they use it for. We employed the Multidimensional Healthy Technology Use and Social Media Habits Scale (MTECH) and adapted forms of the Positive and Negative Affect Schedule (PANAS) in a sample of 7,234 middle and high school students to assess the extent to which students feel prepared to use technology safely and successfully and whether this impacts the association between the amount of various types of technology they use and their negative affect. We conducted eight moderated regression analyses that, in some models, revealed preparedness had a protective role in the association between technology use and negative affect. In these models, at all levels of technology use, adolescents with higher levels of preparedness experienced lower levels of negative affect than their peers; however, in some instances, this effect was diminished for those using technology with high frequency. These findings support the notion that the association between technology and negative affect is not best modeled as a direct relationship, and instead that we must consider important moderators of this complex association.

Momentary links between adolescents' social media use and social experiences and motivations: Individual differences by peer susceptibility

This longitudinal ecological momentary assessment study examined whether adolescents' use of social media to interact with peers relates to their experiences of social connectedness, social craving, and sensation seeking on an hourly level. Further, we investigated whether these associations differ for adolescents who were nominated by their peers as more or less susceptible to social influences, because highly susceptible youth may be more strongly impacted by social media due to heightened focus on peer behaviors and social feedback. The sample was 212 adolescents in the southeastern United States (Mage = 15 years; range 14 to 17; 56.2% female; 40% White, 28% Latinx, 26% African American, 15% mixed/other race). Controlling for both daily and between-subjects effects, we found a consistent pattern of hourly-level results that were robust to sensitivity analyses. When highly susceptible adolescents used social media to interact with peers in the last hour, they felt less socially connected to others and more strongly craved social connections and novel sensations. Youth who are particularly sensitive to social input from peers may feel less connected to others and crave more connections and exciting stimuli within 1 hr after using social media to interact with peers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using Browser Data to Understand Desires to Spend Time Online

There is growing recognition that many people feel the need to regulate their use of the internet and other digital technologies to support their wellbeing. In this study, we used Mozilla Firefox browser telemetry to investigate the role played by various usage factors in desires to regulate time spent online. In particular, we investigated how six metrics pertaining to time spent on the internet, and the diversity and intensity of use, predict participants' (n = 8,094) desires to spend more or less time online. Across all six metrics, we did not find evidence for a relationship between browser usage metrics and participants wanting to spend more or less time online. This finding was robust across various analytical pathways. The study highlights a number of considerations and concerns that need to be addressed in future industry-academia collaborations that draw on trace data or usage telemetry.

Sense of Belonging at School and on Social Media in Adolescence: Associations with Educational Achievement and Psychosocial Maladjustment

Belongingness is a key factor in the psychological development and school adjustment of children and adolescents. Going beyond the existing literature, the present study evaluated the association between two sources of belongingness, namely sense of belonging at school (SOBAS) and on social media (SOBOSM), and both psychological maladjustment and educational achievement. Sample consisted of 698 early-to-late adolescents (52.3% female, mean age = 13.79 ± 2.09). Both SOBAS and SOBOSM showed negative direct associations with psychological maladjustment. SOBOSM showed a negative direct association with educational achievement. Social media addiction mediated the links between both SOBAS and SOBOSM and psychological maladjustment and education achievement. Overall, findings suggest that adolescents reporting high sense of belonging both at school and on social media may at lower risk for psychological maladjustment. However, adolescents reporting low SOBAS and high SOBOSM may also be a greater risk of SMA, possibly impacting their psychological health and school adjustement.

Problematic social media use and alcohol expectancies in early adolescents

BACKGROUND

Alcohol expectancies are beliefs regarding positive (e.g., tension reduction) or negative (e.g., loss of motor coordination) effects of alcohol. Based on Social Learning Theory, social media can influence alcohol expectancies in adolescents. In particular, problematic social media use - which can reflect elements of addiction, including mood modification, tolerance, withdrawal, conflict, and relapse - could be linked to alcohol expectancies. We aimed to determine the associations between problematic social media use and alcohol expectancies in a national (U.S.) cohort of 10-14-year-old early adolescents.

METHODS

We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 9,008) at the Year 2 assessment (2018-2020). Unadjusted and adjusted linear regression analyses were conducted to examine the associations between problematic social media use and alcohol expectancies (positive and negative), adjusting for race/ethnicity, sex, household income, parent education, sexual orientation, parental marital status, and study site. Furthermore, we computed marginal predicted probabilities to aid in interpreting findings.

RESULTS

The sample was 48.7% female and racially and ethnically diverse (43.0% non-White), with a mean age of 12.02 ± 0.66 years old. In models adjusted for confounders including both time spent on social media and problematic social media use, time spent on social media was not associated with positive or negative alcohol expectancies, but higher problematic social media use score was associated with higher positive (B = 0.045, 95% confidence interval [CI] 0.020-0.069) and negative (B = 0.072, 95% CI 0.043-0.101) alcohol expectancies scores.

CONCLUSION

Problematic social media use was associated with both positive and negative alcohol expectancies in a demographically diverse national sample of early adolescents in the U.S. Given the small effect sizes of the current study, future studies should further examine these relationships prospectively, as well as the mechanisms linking problematic social media use to alcohol expectancies and alcohol consumption. Because alcohol expectancies are modifiable and linked with alcohol initiation, they could be a target for future prevention efforts.

Screen Time and Obsessive-Compulsive Disorder Among Children 9-10 Years Old: A Prospective Cohort Study

PURPOSE

The aim of this study is to determine the prospective associations between baseline screen time and obsessive-compulsive disorder (OCD) at 2-year follow-up in a national (United States) cohort of 9- to 10-year-old children.

METHODS

We analyzed prospective cohort data from the Adolescent Brain Cognitive Development study (n = 9,208). Logistic regression analyses were used to determine the associations between baseline self-reported screen time (exposure) and OCD, based on the Kiddie Schedule for Affective Disorders and Schizophrenia (outcome), at 2-year-follow-up, adjusting for race/ethnicity, sex, household income, parent education, family history of psychopathology, and study site, excluding participants with baseline OCD.

RESULTS

The sample was 48.9% female and racially and ethnically diverse (43.5% non-White). Each additional hour of total screen time was prospectively associated with 1.05 higher odds of OCD at 2-year follow-up (95% confidence interval [CI] 1.01-1.09). For specific screen time modalities, each additional hour of playing video games (adjusted odds ratio 1.15, 95% CI 1.03-1.28) and watching videos (adjusted odds ratio 1.11, 95% CI 1.01-1.23) was associated with a subsequent OCD diagnosis.

CONCLUSION

Video games and watching videos are prospectively associated with new-onset OCD in early adolescents. Future research should examine mechanisms linking these specific screen modalities to OCD development to inform future prevention and intervention efforts.

Time to Think "Meta": A Critical Viewpoint on the Risks and Benefits of Virtual Worlds for Mental Health

The metaverse is gaining traction in the general population and has become a priority of the technological industry. Defined as persistent virtual worlds that exist in virtual or augmented reality, the metaverse proposes to afford a range of activities of daily life, from socializing and relaxing to gaming, shopping, and working. Because of its scope, its projected popularity, and its immersivity, the metaverse may pose unique opportunities and risks for mental health. In this viewpoint article, we integrate existing evidence on the mental health impacts of video games, social media, and virtual reality to anticipate how the metaverse could influence mental health. We outline 2 categories of mechanisms related to mental health: experiences or behaviors afforded by the metaverse and experiences or behaviors displaced by it. The metaverse may benefit mental health by affording control (over an avatar and its virtual environment), cognitive activation, physical activity, social connections, and a sense of autonomy and competence. However, repetitive rewarding experiences may lead to addiction-like behaviors, and high engagement in virtual worlds may facilitate and perpetuate the avoidance of challenges in the offline environment. Further, time spent in virtual worlds may displace (reduce) other determinants of mental health, such as sleep rhythms and offline social capital. Importantly, individuals will differ in their uses of and psychological responses to the metaverse, resulting in heterogeneous impacts on their mental health. Their technological motivations, developmental stage, sociodemographic context, and prior mental health problems are some of the factors that may modify and frame the positive and negative effects of the metaverse on their mental health. In conclusion, as the metaverse is being scaffolded by the industry and by its users, there is a window of opportunity for researchers, clinicians, and people with lived experience to coproduce knowledge on its possible impacts on mental health and illness, with the hope of influencing policy-making, technological development, and counseling of patients.

Smartphone use and daily cognitive failures: A critical examination using a daily diary approach with objective smartphone measures

While smartphones have brought many benefits and conveniences to users, there is continuing debate regarding their potential negative consequences on everyday cognition such as daily cognitive failures. A few cross-sectional studies have found positive associations between smartphone use and cognitive failures. However, several research gaps remain, such as the use of cross-sectional designs, confounds related to stable individual differences, the lack of validity in self-report measures of smartphone use, memory biases in retrospective self-reports, and the lack of differentiation between smartphone checking and smartphone screen time. To simultaneously address the aforementioned shortcomings, the current study examined the within-person associations between various objective indicators of smartphone use and daily cognitive failures using a 7-day daily diary study. Multilevel modelling revealed that smartphone checking, but not total smartphone screen time, predicted a greater occurrence of daily cognitive failures at the within-person level. Surprisingly, we also found negative within-person associations between smartphone screen time for social- and tools-related applications and daily cognitive failures, suggesting that some types of smartphone use may temporarily benefit one's cognitive functioning. This finding demonstrates the importance of studying the specific functions of smartphone use and their differential cognitive consequences, as well as highlights the complex relations between smartphone use and cognition.

Understanding the construction of 'behavior' in smartphone addiction: A scoping review

It has been claimed that smartphone usage constitutes a behavioral addiction, characterised by compulsive, excessive use of one's phone and psychological withdrawal or distress when the phone is absent. However, there is uncertainty about key phenomenological and conceptual details of smartphone addiction. One of the central problems has been understanding the processes that link smartphone usage, and addiction. The question this paper aims to answer is straightforward: based on measures utilised in the literature, what does 'behavior' mean in the context of smartphone addiction? A scoping review of the smartphone addiction literature was undertaken. This identified 1305 studies collecting smartphone addiction data. Just under half (49.89%) of all published smartphone addiction papers did not report the collection of any smartphone specific behaviors. Those that did tended to focus on a small cluster of self-reported behaviors capturing volume of overall use: hours spent using a smartphone per day, number of pickups, duration of smartphone ownership, and types of app used. Approximately 10% of papers used logged behavioral data on phones. Although the theoretical literature places increasing focus on context and patterns of use, measurements of behavior tend to focus on broad, volumetric measures. The number of studies reporting behavior has decreased over time, suggesting smartphone addiction is becoming increasingly trait-like. Both major phone operating systems have proprietary apps that collected behavioral data by default, and research in the field should take advantage of these capabilities when measuring smartphone usage.

Physical and Recreational Activities, Sedentary Screen Time, Time Spent with Parents and Drug Use in Adolescents

In a context in which sedentary screen time is on the rise and adolescents are less eager to engage in free-time activities, physical and recreational activities, although too often ignored, have proven to be an antidote for a large array of psychological and behavioral problems in adolescents, including drug use. The present study is a cross-sectional investigation of the association between physical and recreational activities, sedentary screen time, and time spent with parents and the intensity of drug use in adolescents. The participants were part of a representative sample of 2677 adolescents from Bucharest, Romania. The results indicate that vigorous physical and recreational activities, as well as time spent with parents, were negatively associated with an index of drug use (13 drugs), while screen time positively predicted the intensity of drug use. These findings raise the question of the involvement of parents and educational authorities in promoting healthy behaviors and good practices for the prevention of drug use and improving public adolescents' health.

Exploring adolescents' perspectives on social media and mental health and well-being - A qualitative literature review

Many quantitative studies have supported the association between social media use and poorer mental health, with less known about adolescents' perspectives on social media's impact on their mental health and wellbeing. This narrative literature review aimed to explore their perspectives, focusing on adolescents aged between 13 and 17. It reviewed qualitative studies published between January 2014 and December 2020, retrieved from four databases: APA Psychinfo, Web of Science, PubMed and Google Scholar. The literature search obtained 24 research papers. Five main themes were identified: 1) Self-expression and validation, 2) Appearance comparison and body ideals, 3) Pressure to stay connected, 4) Social engagement and peer support and 5) Exposure to bullying and harmful content. This review has highlighted how social media use can contribute to poor mental health - through validation-seeking practices, fear of judgement, body comparison, addiction and cyberbullying. It also demonstrates social media's positive impact on adolescent wellbeing - through connection, support and discussion forums for those with similar diagnoses. Future research should consider adolescent views on improvements to social media, studying younger participants, and the impact of COVID-19 on social media use and its associated mental health implications.

Validated assessment tools for screen media use: A systematic review

OBJECTIVE

Accurate measurement of adult and child screen media use are needed to robustly assess its impact on health outcomes. Our objective was to systematically review screen media use measurement tools that have been validated against an objective "gold standard" tool.

METHODS

The search strategy was initially conducted in Medline Ovid and translated to Embase, Web of Science, PsychInfo and Cochrane. A modified natural language search was conducted in Google Scholar and IEEE. The initial search was conducted in March 2021, and an updated search was conducted in June 2022. Additional studies were included from the references. Studies had to describe the validation of a tool to measure screen media use on participants of any age against a 'gold standard' or comparable objective measure. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) was used to assess the criterion validity. Four authors reviewed the titles in two rounds and extracted data.

RESULTS

Twenty-nine articles were included in the review. Studies measured TV, computer, mobile device and social media site screen media use through: self or parent report, direct or video observation, computer and mobile device use tracking programs, and through other novel devices such as wearable devices and cameras. Correlations of self or parent report of screen media with the gold standard were lower than correlations of technology-based measures, and video observation with the gold standard. The COSMIN criterion validity ratings ranged from poor to excellent; most of the studies received a global score of fair or poor.

CONCLUSIONS

Technology based validated tools that more directly measure screen use are emerging that have been validated against a gold standard for measuring screen use. However, practical, objective measures of diverse types of screen media use that have been tested on diverse populations are needed to better understand the impact of screen media use on the development and physical and mental health of children and adults.

Screen time, phone usage, and social media usage: Before and during the COVID-19 pandemic

Objective

Technology use has increased in the past several years, especially among younger generations. The COVID-19 pandemic drastically changed how people work, learn, and interact, with many utilizing technology for daily tasks and socializing.

Methods

The current study investigated a sample of college students using a cross-sectional design to determine whether there was a change in how much time students spent on screens, phones, and social media.

Results

Findings indicated that time on screens and phones was significantly higher during the pandemic; however, time spent on social media did not differ significantly.

Conclusion

These findings suggest that students are spending more time working and socializing on their screens and phones, yet social media may not be the platform in which students are doing this. Future studies should further explore technology usage and whether these trends during the COVID-19 pandemic will be lasting.

Psychosocial Correlates of Recreational Screen Time among Adolescents

The study objective was to identify the psychosocial correlates of recreational screen time among adolescents. Data collection took place in four high schools from the Chaudière-Appalaches region (Quebec, Canada) from late April to mid-May 2021. A total of 258 French-speaking adolescents (69.8% between 15 and 16 years and 66.3% girls) answered an online questionnaire based on the Reasoned Action Approach. Recreational screen time was measured using the French version of a validated questionnaire. Adolescents reported a mean of 5 h and 52 min/day of recreational screen time. Recreational screen time was associated with being a boy (β = 0.33; p < 0.0001) and intention to limit recreational screen time to a maximum of 2 h/day (β = -0.15; p = 0.0001); this model explained 30% of the variance in behavior. Intention to limit recreational screen time to a maximum of 2 h/day in the next month was associated with attitude (β = 0.49; p < 0.0001), self-identity (β = 0.33; p < 0.0001), being a boy (β = -0.21; p = 0.0109), perceived behavioral control (β = 0.18; p = 0.0016), and injunctive norm (β = 0.17; p < 0.0001); this model explained 70% of the variance in intention. This study identified avenues to design public health interventions aimed at lowering recreational screen time among this population.

It's not what you do, it's the way that you do it: An experimental task delineates among passive, reactive and interactive styles of behaviour on social networking sites

Studies have produced vastly disparate findings when exploring relationships between social networking site (SNS) usage and psychosocial well-being. These inconsistencies might reflect a lack of consideration for how people use SNS; specifically, while meaningful interactions are suggested to foster positive feelings, the passive consumption of others' feeds is proposed to have negative effects on users' well-being. To facilitate the empirical evaluation of these claims, the present study developed a computerised task to measure styles of usage on a mock SNS platform. Administering this Social Network Site Behaviour Task (SNSBT) online to 526 individuals, we identified three dissociable usage styles that extend the active-passive dichotomy employed frequently in the literature: passive use (consuming content posted by others), reactive use (reacting to others' content), and interactive use (interacting with others through content sharing). Furthermore, our data reveal that these usage styles differ on several measures of psychosocial variables employed frequently in the disparate literature: more interactive users reported greater feelings of social connectedness and social capital than passive or reactive users. Importantly, however, our results also reveal the multi-dimensional nature of usage styles, with online network size and time spent on SNS platforms serving as potentially confounding influences on some psychosocial measures. These findings not only advance our understanding of SNS behaviour by providing empirical support for theoretic propositions, but also demonstrate the utility of the SNSBT for experimental investigations into the psychosocial outcomes of different SNS usage styles.

Beyond tingles: An exploratory qualitative study of the Autonomous Sensory Meridian Response (ASMR)

This qualitative exploratory study investigated the embodied experiences and the meanings of Autonomous Sensory Meridian Response (ASMR) from the viewer's perspective. ASMR research has been sparse and largely quantitative, assuming it to be a predominantly fixed physiological response of "tingles", despite the acronym being rooted in pseudoscience. A qualitative research design was adopted to facilitate the exploratory nature of the study in this under-researched area. In contrast to the mostly survey-based research on ASMR, this study employed semi-structured interviews as a means to understand the lived experience of ASMR and to promote participant agency. Six self-identifying ASMR consumers were recruited using a mixture of snowball and opportunity sampling. Semi-structured interviews were conducted both in person and using Skype to facilitate transnational data collection. Interview transcripts were analysed using an inductive, data-driven approach to thematic analysis. The analysis suggests that ASMR is felt to provide a social environment of comfort rather than a solely physiological-based experience. Three key themes emerged: who and what defines ASMR? (reflecting the variety of what was classed as ASMR and what content was consumed to produce the response); "real" intimacy tailored to me (reflecting the idiosyncratic perception of intimacy made possible through ASMR); and emotional relief on my terms (reflecting the role of ASMR in self-soothing). The present data reflect a rich, complex experience of the ASMR consumer, pointing to potential wider applications and informing further research.

Emerging adults’ digital technology engagement and mental health during the COVID-19 pandemic

Within the past decade, parents, scientists, and policy makers have sought to understand how digital technology engagement may exacerbate or ameliorate young people’s mental health symptoms, a concern that has intensified amidst the COVID-19 pandemic. Previous research has been far from conclusive, and a lack of research consensus may stem in part from widely varying measurement strategies (including subjective and objective measurement) around digital technology engagement. In a cross-sectional study of 323 university students, the present study seeks to understand the ways in which youth engagement with digital technology – across subjective and objective measurements, weekday and weekend distinctions, and social and non-social uses – is associated with mental health (as measured by depression, loneliness, and multidimensional mood and anxiety). The present study also tested a differential susceptibility hypothesis to examine whether COVID-19 related social isolation might exacerbate the potential harms or helps of digital technology engagement. Results yielded few observed associations between digital technology engagement and mental health, with little evidence of detrimental effects of observed or perceived time spent on digital technology. Rather, those significant findings which did emerge underscore potential protections conferred by social connections with friends (both online and offline), and that the loneliest students may be the most likely to be reaching out for these types of connections. It is important that the field move beyond crude (largely self-reported) measures of screen time to instead understand how and to what effect youth are using digital technologies, especially during the social corridor of emerging adulthood.

Screen Time and ADHD Behaviors in Chinese Children: Findings From Longitudinal and Cross-Sectional Data

OBJECTIVE

Research suggests that screen exposure presents a risk for ADHD behaviors in young children. However, the operationalization of screen exposure remains murky and longitudinal data is scarce. In this paper, we examined the relations between better operationalized daily screen time and behaviors of inattention and behaviors of hyperactivity/impulsivity in three cohorts of community samples of young Chinese children.

METHOD

Study 1 was longitudinal and included 111 children who were 3.6 years old (Range = 2.4-4.9; SD = 0.4) at Baseline and 4.8 years old (Range = 3.9-6.0; SD = 0.4) at Follow-Up. Study 2 was cross-sectional and included 172 children aged 4.9 years (Range = 3.0-7.1; SD = 1.0). Study 3 was also cross-sectional and included 313 children who were 6.9 years old (Range = 5.7-8.3; SD = 0.4). In each study, the parents reported how much time that their children spent daily on iPad/tablet, smart phone, and online games and watching TV in the previous week, and their children's behaviors of inattention (I/A) and hyperactivity/impulsivity (H/I).

RESULTS

Regression analysis revealed that in Study 1, controlling for child demographics, mother's education, family SES, and corresponding I/A or H/I scores at Baseline, screen time at Baseline predicted I/A scores (β = .27, p < .01) and H/I scores (β = .32, p < .001) at Follow-Up. Similarly, controlling for covariates, screen time predicted I/A scores (β = .25, p < .01) and H/I scores (β = .25, p < .01) in Study 2; I/A scores (β = 0.16, p < .01) and H/I scores (β = .15, p < .05) in Study 3.

CONCLUSION

Screen exposure was a risk for inattention and hyperactivity/impulsivity behaviors in urban Chinese children.

Do both timing and duration of screen use affect sleep patterns in adolescents?

BACKGROUND

Sleep duration has declined in adolescents over the last 30 years and screen use has been identified as a risk factor. Studies have examined the duration of screen use and screen-based activities but have not differentiated between evening and night-time use.

METHODS

Cross sectional questionnaire survey of adolescents recruited in schools. Sleep habits on school nights and weekends, symptoms of insomnia and daytime repercussions were recorded using an online questionnaire administered in the classroom setting. Sleep deprivation (<7 hours in bed /night), school night sleep restriction (≥2 hours difference in sleep duration on school nights vs weekends), excessive sleepiness (score >6 on a visual analogue scale), duration of screen use and timing of screen use (evening vs after bedtime) were determined.

RESULTS

2513 students (53.4% female, median age 15 years) were included. 20% were sleep deprived and 41% sleep restricted. A clear dose effect relationship in a model controlling for age, sex, school level and sociodemographic class was seen with all levels of night-time screen use on sleep deprivation and sleep restriction (>2 hours use sleep deprivation OR 5.23[3.03-9.00]. sleep restriction OR 2.05[1.23-3.42]) and > 2 hours evening use (>2 hours use sleep deprivation OR 2.72[2.15-3.44] sleep restriction OR 1.69[1.36-2.11]) but not moderate evening use. All night-time use and > 2 hours evening use increased the risk of insomnia, non refreshing sleep, and affected daytime function (daytime sleepiness, lack of energy and irritability).

CONCLUSIONS

Both duration of screen use and timing are associated with adverse effects on sleep and daytime functioning in adolescents. More than 2 hours evening use and all night-time use should be avoided.

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.

Alliance With an Unguided Smartphone App: Validation of the Digital Working Alliance Inventory

The working alliance may be relevant in unguided smartphone-based interventions, but no validated measure exists. We evaluated the psychometric properties of the six-item Digital Working Alliance Inventory (DWAI) using a cross-sectional survey of meditation app users (n = 290) and the intervention arm of a randomized trial testing a smartphone-based meditation app (n = 314). Exploratory factor analysis suggested a single-factor solution which was replicated using longitudinal confirmatory factor analysis. The DWAI showed adequate internal consistency and test-retest reliability. Discriminant validity was supported by a lack of association with social desirability, psychological distress, and preference for a waitlist condition. Convergent validity was supported by positive associations with perceived app effectiveness and preference for an app condition. Supporting predictive validity, DWAI scores positively predicted self-reported and objective app utilization. When assessed at Weeks 3 or 4 of the intervention, but not earlier, DWAI scores predicted pre-post reductions in psychological distress.

Does Objectively Measured Social-Media or Smartphone Use Predict Depression, Anxiety, or Social Isolation Among Young Adults?

Despite a plethora of research, the link between digital technology use and psychological distress among young adults remains inconclusive. Findings in this area are typically undermined by methodological limitations related to measurement, study design, and statistical analysis. Addressing these limitations, we examined the prospective, within-person associations between three aspects of objectively-measured digital technology use (smartphone use duration and frequency; social media use duration) and three aspects of psychological distress (depression, anxiety, and social isolation) among a sample of young adults (N = 384). Across 81 different model specifications, we found that most within-person prospective effects between digital technology use and psychological distress were statistically non-significant and all were very small-even the largest effects were unlikely to register a meaningful impact on a person's psychological distress. In post hoc subgroup analyses, we found scant evidence for the claim that digital technology use is more harmful for women and/or younger people.

Association between Recreational Screen Time and Sleep Quality among Adolescents during the Third Wave of the COVID-19 Pandemic in Canada

The study objective was to verify whether recreational screen time was associated with sleep quality among adolescents during the third wave of the COVID-19 pandemic in Canada. Data collection took place in four high schools in the region of Chaudière-Appalaches (Quebec, Canada) from the end of April to mid-May 2021. Recreational screen time and sleep quality were measured using the French versions of validated questionnaires specifically designed for adolescents. A total of 258 adolescents (14−18 years; 66.3% girls) answered the online survey. Adolescent boys had a higher total mean recreational screen time (454.3 ± 197.5 vs. 300.5 ± 129.3 min/day, p < 0.0001) and a higher total mean sleep quality score (4.2 ± 0.9 vs. 3.9 ± 0.8, p = 0.0364) compared to girls. Recreational screen time (β = −0.0012, p = 0.0005) and frequency of concurrent screen use (sometimes: β = −0.3141, p = 0.0269; often: β = −0.4147, p = 0.0048; almost always or always: β = −0.6155, p = 0.0002) were negatively associated with sleep quality while being a boy (β = 0.4276, p = 0.0004) was positively associated with sleep quality and age (p = 0.6321) was not. This model explained 16% of the variance in adolescents’ sleep quality. Public health interventions during and after the COVID-19 pandemic should target recreational screen time, concurrent screen use and especially girls to possibly improve sleep quality and promote adolescents’ physical and mental health.