Revisiting Factors Associated With Screen Time Media Use: A Structural Study Among School-Aged Adolescents

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.

The degree of association between overweight and obesity with the use of electronic media among Bangladeshi adolescents

BACKGROUND

Electronic media usage is recently considered a modifiable risk factor for overweight and obesity among adolescents. The purpose of this present study was to evaluate the association of electronic media (EM) usage with overweight and obesity among school-going adolescents.

METHODS

This cross-sectional study was conducted from October to December 2019 among school-going adolescents (14-16 years old) residing in the Jashore Sadar Upazila, Jashore district of Bangladesh. A standardized questionnaire was used to collect information regarding the socio-economic status, time spent watching television, video games playing, computer, and smart mobile phone use through face-to-face interviews. Age- and sex-specific body mass index (BMI) cut-off values for overweight and obesity were determined for Asian adolescents by the International Obesity Task Force (IOTF). Multinomial logistic regression analysis was carried out to determine the association between electronic media use with overweight and obesity.

FINDINGS

The findings suggest that the overall prevalence of overweight and obesity was 13.5% and 25.2%, respectively. Among the total adolescent students, about 49.1% highly (above 3 hours per day) spent their time on EM use whereas 30.6% moderately (≥121 to 180 min/day) use EM. The regression analysis showed that spending high time using total screen-based electronic devices, television viewing, video game playing, computer use, and smartphone use were significantly associated with overweight (RRR: 7.36, 95% CI: 3.64-11.54; RRR: 4.58, 95% CI: 1.46-7.95; RRR: 4.45, 95% CI: 2.75-6.12; RRR: 3.18, 95% CI: 1.87-4.70; RRR: 2.15, 95% CI: 1.23-3.51) and obesity (RRR: 8.72, 95% CI: 4.64-12.54; RRR: 2.89, 95% CI: 1.31-5.21; RRR: 3.88, 95% CI: 1.74-5.13; RRR: 3.08, 95% CI: 1.32-4.86; RRR: 1.19, 95% CI: 0.93-1.48) in adolescents, respectively.

CONCLUSION

The results support the total time spent using electronic media was associated with an increased risk of being overweight and obesity. Finally, this study strongly suggests the proper use of electronic media may be necessary to reduce the risk of being overweight and obesity in early adolescents.

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.

Cross-sectional associations between screen time and the selected lifestyle behaviors in adolescents

Background

In adolescents, excessive screen time leads to many adverse health outcomes and is associated with a variety of lifestyle behaviors. This study was conducted to investigate the associations between the two types of screen time and a variety of lifestyle behaviors in American adolescents.

Methods

Based on the Youth Risk Behavior Surveillance System, this cross-sectional study was conducted. With the help of data collectors, participants self-reported screening time, lifestyle behaviors, and demographic data via well-validated tools.

Results

19% and 43.4% of the participants spent more than two hours a day watching television and using the computer, respectively, while the prevalence of physical inactivity and insufficient sleep was 75.1 and 74.4% respectively. Furthermore, 11.9, 7.3, 14.3, and 21.3% of the participants reported skipping fruits, vegetables, breakfast and milk, respectively. Moreover, the prevalence of alcohol and tobacco consumption and sexual activity was 26.8, 5.3, and 23.5% respectively. More than two hours of television time was significantly associated with high risks of fewer frequency for eating fruit (OR = 1.605, 95%CI: 1.308-1.970), vegetables (OR = 1.389, 95%CI: 1.029-1.873), and smoking (OR = 1.465, 95%CI: 1.088-1.972). Computer/video time for more than two hours was significantly associated with high risks of physical inactivity (OR = 1.724, 95%CI: 1.531-1.941), insufficient sleep (OR = 1.354, 95%CI: 1.151-1.592), and not eating fruit (OR = 1.434, 95%CI: 1.179-1.745).

Conclusion

Increased screen time may be associated with specific unhealthy lifestyle behaviors in adolescents. Furthermore, the associations between different types of screen time and various lifestyle behaviors varied.

Longitudinal Relationship between Children’s Emotion Dysregulation and Parent’s Negative Experience of the COVID-19 Lockdown in France

"Introduction: At the beginning of the COVID-19 pandemic, a lockdown was implemented in France, leading to profound changes in families’ life. Studies showed emotional and behavioral difficulties in children and adults during this period. However, few research has focused on the longitudinal interactions between children’s emotion regulation and parental emotional experience of the lockdown. Aim: This study aimed to examine the longitudinal bidirectional relationships between children’s emotion regulation and parental emotional experience of the lockdown. Method: One hundred and twenty parents of children aged 5 to 12 answered two online questionnaires, at the start of the first lockdown (Time 1), and one month later (Time 2). Emotional dysregulation in children and parental emotional experience of the lockdown were assessed. Results: The results of the autoregressive cross-lagged analyses revealed that children’s emotion regulation at Time 1 predicted lockdown-related parental emotional experience at Time 2, whereas lockdown-related parental emotional experience at Time 1 didn’t predict children’s emotion regulation at Time 2. Conclusion: This study suggested that parents of children with greater emotion regulation difficulties have had a worse emotional experience of the lockdown, without affecting the emotional regulation of children. Clinical implications and protective factors are discussed."

A dual process model to predict adolescents' screen time and physical activity

OBJECTIVE

Many adolescents report a lack of physical activity (PA) and excess screen time (ST). Psychological theories aiming to understand these behaviours typically focus on predictors of only one behaviour. Yet, behaviour enactment is often a choice between options. This study sought to examine predictors of PA and ST in a single model. Variables were drawn from dual process models, which portray behaviour as the outcome of deliberative and automatic processes.

DESIGN

411 Finnish vocational school students (age 17-19) completed a survey, comprising variables from the Reasoned Action Approach (RAA) and automaticity pertaining to PA and ST, and self-reported PA and ST four weeks later.

MAIN OUTCOME MEASURES

Self-reported time spent on PA and ST and their predictors.

RESULTS

PA and ST correlated negatively (r = -.17, p = .03). Structural equation modelling revealed that intentions and habit for PA predicted PA while ST was predicted by intentions and habit for ST and negatively by PA intentions. RAA-cognitions predicted intentions.

CONCLUSION

PA and ST and their psychological predictors seem to be weakly interlinked. Future studies should assess more behaviours and related psychological influences to get a better picture of connections between different behaviours.

HighlightsPhysical activity and screen time are largely mutually exclusive classes of behaviours and might therefore be related in terms of their psychological predictors.411 adolescent vocational school students self-reported variables from the Reasoned Action Approach and behavioural automaticity related to physical activity and leisure time screen time behaviours as well as those behaviours.Structural equation modelling revealed expected within-behaviour predictions but, against expectations, no strong connections between the two behaviour classes in terms of their predictors. Only intentions to engage in physical activity negatively predicted screen time.Future research should aim to measure a wider range of mutually exclusive classes of behaviours that cover a large share of the day to uncover relations between behaviours and their respective predictors.

Effectiveness and moderators of a multicomponent school-based intervention on screen time devices: the Movimente cluster-randomized controlled trial

Background

Interventions targeting reduce screen time in adolescents are urgently needed, mainly in low and middle-income countries because of the lack of evidence. Thus, the aims of the study were to examine the effect of a cluster-randomized controlled trial on screen time (ST) devices among Brazilian adolescents and to identify possible moderators.

Methods

Movimente was a multicomponent school-based intervention that was performed in 2017 and consisted of teacher training, education curriculum, and environmental improvements. Baseline and post-intervention assessments (over one academic year) were conducted with students aged 10–16 years at baseline (baseline n = 921, [n = 538 intervention group; n = 383 control group]). A self-report questionnaire was used to measure daily minutes of device specific screen time (TV, computer, video games and smartphone) and demographic variables. Linear mixed models were used to examine intervention effects and an exploratory moderation analysis (sex, grade and socioeconomic status) was performed.

Results

The intervention had no significant effects on TV time (β = − 6.4, 95% CI: − 6.1;13.4), game time (β = − 8.2, 95% CI: − 7.2;10.8), computer time (β = 1.1, 95% CI: − 6.3;18.5), smartphone time (β = − 10.2, 95% CI: − 32.5;12.1), screen time (β = − 12.8, 95% CI: − 50.5;24.8), meeting screen time guidelines (OR: 1.29, 95% CI: 0.65,2.57) and meeting screen time guidelines with smartphone (OR: 1.66, 95% CI: 0.37,7.40). There was a significant intervention effect on reducing TV time (β = − 37.1, 95% CI: − 73.0, − 1.3) among 8th grade students only.

Conclusions

The Movimente intervention was effective only for TV time among 8th grade students. Understanding how school-based interventions can improve adolescents’ device specific screen time across age groups is needed. Future strategies should cover all screen-based devices. Further, there is a need for more studies in low- and-middle income countries to assist in the development of effective strategies.

Trial registration

Clinicaltrials.gov identifier NCT02944318 (25/10/2016).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11895-2.

The Association of Family, Friends, and Teacher Support With Girls' Sport and Physical Activity on the Island of Ireland

BACKGROUND

The current study was the largest physical activity (PA) surveillance assessment of youth undertaken in Ireland in recent years. The purpose of this research was to assess the impact of social support, while controlling for age and screen time, on PA and sport participation, across a representative sample of Irish female youth.

METHODS

A total of 3503 children (mean age: 13.54 [2.05] y) across the island of Ireland participated. Participants completed a previously validated electronic questionnaire while supervised in a classroom setting, which investigated their (1) levels of PA; (2) screen time; (3) community sport participation; and (4) social support (friend, family, and teacher) to be physically active/partake in sport.

RESULTS

There were significant differences, with medium and large effect sizes, for social support from friends and family across types of sports participation. Specifically, girls who participated in the most popular team sports, when compared with the most popular individual sports, reported higher social support scores for friends and family structures.

CONCLUSIONS

Findings from this study confirm the contributing influence of friends and family as sport and PA support networks for girls. Interventions should consider the importance of culturally relevant team sports for PA engagement in female youth.

Extracurricular Sports Participation and Sedentary Behavior in Association with Dietary Habits and Obesity Risk in Children and Adolescents and the Role of Family Structure: a Literature Review

PURPOSE OF REVIEW

Childhood obesity is considered a major problem in the modern world, associated with many health issues in youth. This review aimed the association between extracurricular sports participation, sedentary time/screen time, and "obesogenic" and "non-obesogenic" dietary habits among youth and to explore the role of family structure on the adoption of sedentary behaviors by children.

RECENT FINDINGS

Increased participation in extracurricular sports was associated with a healthier dietary pattern, containing more "non-obesogenic" food choices. Opposite results were indicated by sedentary activities. Increased time in watching TV, computer/electronic games, and other screen devices was positively associated with unhealthy dietary patterns. Overall, extracurricular activities influence the quality of food choices, which may prevent or promote childhood obesity; thus, sport-related activities should be promoted through public health policies. The role of the family structure is contradictory.

Sedentary behavior in children and adolescents: an update of the systematic review of the Brazil’s Report Card

Abstract This review updated data on sedentary behavior in Brazilian children and adolescents for the Brazil’s Report Card 4.0. The searching was carried out in eight databases (PubMed, Scopus, Web of Science, LILACS, SPORTDiscus, BIREME, Scielo, and Google Scholar), based on the the following criteria: original research; samples including Brazilian children and adolescents; to be a observational survey with the prevalence of at least one component of sedentary behavior. In this updated review were included 118 studies (corresponding to 159 papers), being 71 studies (104 papers) previously reviewed in the Report Card 3.0 and 47 studies (55 papers) found in update from 2018 to 2019. Screen time (34.7%) and TV viewing (28.2%) remains the most investigated components, however, two studies investigated cell phone use, and there was an increase in other types of sedentary behavior such as sitting time (from 9% to 25.6%). We found only four studies involving pre-scholars, but four of them covered almost all age groups. Self-reported questionnaire was the instrument more used; however, increased the studies using accelerometers (from 2 to 8 studies). The cut-off point more frequent was 2 hours/day (47.5%), but the use of other measures doubled. Almost 70% of the studies reported that less than 50% (general range: 9.4% to 97.7%) of individuals had < 2 hours/day of sedentary behavior. The updated review found few studies with prescholars and children; using validated instruments; using accelerometers, with standardization of cutoff points, and prevalences very close to what was observed in the previous review.

Cyberbullying and Children and Young People's Mental Health: A Systematic Map of Systematic Reviews

Cyberbullying is associated with considerable negative mental and psychosocial consequences in children and young people, making it a serious public health concern. To review the highest level of available evidence, a systematic mapping review was conducted to identify systematic reviews that investigated the relationship between cyberbullying and mental and psychological outcomes in young people. Topic-relevant bibliographic databases and online resources were searched to identify reviews published since 2007. Data were extracted using a coding tool developed for this study. Methodological quality of included reviews was assessed using AMSTAR criteria. Nineteen systematic reviews satisfied the inclusion criteria and they reported a strong negative association between cyberbullying and mental health outcomes in young people. Meta-analysis was performed in 11 reviews and narrative synthesis in 8 reviews. Data were derived from predominantly cross-sectional studies and a clear causal relationship between cyberbullying and mental outcomes cannot be established. Two-third of the included reviews were classified to be of low or unclear quality, due to the lack of quality assessment of the primary studies included in individual reviews. This systematic map consolidates available evidence at review level and confirms the existing gaps in longitudinal and qualitative evidence synthesis. Closer examination of the moderating factors influencing cyberbullying behaviors in future research can advance our understanding and inform the development of tailored programs of intervention to mitigate the negative impact of this phenomenon.

Clusters of health behaviours and their relation to body mass index among adolescents in Northern Finland

AIMS

To identify clusters of health behaviours among Finnish adolescents and examine whether these clusters are associated with body mass index (BMI).

METHODS

The data, drawn from the prospective population-based Northern Finland Birth Cohort 1986, comprised a total of 7182 adolescents who replied to a follow-up postal questionnaire at the age 15 to 16. The adolescents were asked about multiple health behaviours, such as physical activity, screen time, cigarette smoking, alcohol use and diet. Adolescents who answered the questions concerning all of these variables were included in the study, yielding a final sample of 4305 subjects. K-means cluster analysis was performed to identify group of adolescents with similar health behaviours. Chi-squared tests were performed to analyse the association between the clusters and BMI.

RESULTS

Two clusters - Healthy Lifestyle and Unhealthy Lifestyle - were identified for both genders. The values of all the studied variables differed significantly between the clusters identified for both boys and girls. No significant relationship between the identified clusters and BMI was found for either boys or girls.

CONCLUSIONS

It is important to consider multiple lifestyle-related behaviours and trying to identify groups that present probability for developing lifestyle diseases.

Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010)

OBJECTIVE

To determine the association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents.

MATERIALS AND METHODS

Secondary analysis of the information obtained in the National Survey of the Nutritional Situation 2010 of Colombia, in a probabilistic sample of 18177 adolescents with an age range between 13 and 17 years. The time spent watching television and / or videogames and sociodemographic factors was determined. Anthropometric markers and body composition were recorded. Associations were established through logistic regression models.

RESULTS

The prevalence of overweight was 13.0% (95% CI 12.4-13.8) and obesity was 3.0% (95% CI 2.8-3.3). The prevalences of overweight and obesity were higher in adolescent women [16.6% (95% CI 15.8-17.5) and 3.4% (95% CI 3.1-3.7), respectively]. Overweight and obesity were associated with being female [OR 1.94 (95%CI 1.77-2.12) and OR 1.29 (95%CI 1.09-1.53), respectively], high socioeconomic level [OR 1.22 (95%CI 1.10-1.36) and OR 1.47 (95%CI 1.19-1.81), respectively], reside in urban area [OR 1.13 (95%CI 1.03-1.24) and OR 1.47 (95%CI 1.21-1.79), respectively]. Being indigenous was associated with being overweight [OR 1.25 (95%CI 1.10-1.42)], while being Afro-Colombian was associated with obesity [OR 1.33 (95%CI 1.05-1.69)]. Watching television and / or video games for two or more hours a day [OR1.17 (95%CI 1.06-1.30)] was associated with being overweight; whereas watching television every day of the week was associated with obesity [OR 1.66 (95%CI 1.13-2.43)].

CONCLUSIONS

The population studied has a significant prevalence of overweight and obesity, being overweight is associated with being a woman, a high socioeconomic status, residing in an urban area, having an indigenous ethnicity, watching television for three days during the week and looking at more than two hours of television in a day; Obesity is associated with being a woman, a medium-high and high socioeconomic status, residing in an urban area, Afro-Colombian ethnicity, watching television at least once in the last week and watching television every day during the last week.

Influence of individual and family factors on physical activity among Saudi girls: a cross-sectional study

BACKGROUND

Physical inactivity is a major public health problem and one of the main causes of noncommunicable diseases among children. The physical activity (PA) of children has been studied extensively in other countries, but not in Saudi Arabia, most especially among school-based girls.

OBJECTIVES

Assess the PA among older Saudi girls (10-15 years old) and determine the influence of various personal and family factors on PA.

DESIGN

Descriptive, cross-sectional study.

SETTING

Primary and middle schools in Riyadh, Saudi Arabia.

SUBJECTS AND METHODS

Using a multi-stage stratified sampling technique, school girls were surveyed using the Physical Activity Questionnaire for Older Children (PAQ-C). Personal and familial factors that influenced PA levels were assessed by multiple regression analysis.

MAIN OUTCOME MEASURES

PA levels of Saudi school girls.

SAMPLE SIZE

464 girls.

RESULTS

The mean (SD) score of the respondents in the PAQ-C was 2.63 (0.57, range=1.27-4.24). The majority of the older children re.ported a moderate level of PA in the last seven days (73.5%), whereas 22.4% and 4.1% of them reported low and high levels of PA, respectively. Employment status of the parents and monthly family income were significant factors that influenced the PA of children.

CONCLUSIONS

The findings reiterate the significance of improving the PA of school girls and the critical role of the family in improving chil.dren's PA. Multisectoral coordination between schools, health agencies, families, and other concerned agencies to plan and implement interventions should help increase the PA of school girls.

LIMITATIONS

The use of self-report may have introduced some levels of social desirability bias. The study was only conducted in a single city.

CONFLICT OF INTEREST

None.