"I'm on it 24/7 at the moment": a qualitative examination of multi-screen viewing behaviours among UK 10-11 year olds

Screen use and sleep duration and quality at 15 years old: Cohort study

Objective/background

The evidence on the association between screen use and sleep of adolescents is mainly based on studies about time watching television, with a few examining time using computers, videogames, and mobile devices. Our aim was to investigate the association between screen time for entertainment (watching TV, using computer, or playing games on tablets, smartphones, or videogame consoles) and sleep duration and self-reported sleep quality, among adolescents aged 15 years.

Methods

With data from the 2004 Pelotas Birth Cohort, sleep duration was assessed with questions extracted from the Munich Chronotype Questionnaire and quality was self-reported. Adjusted β coefficients and prevalence ratios (PR) with (95% confidence intervals) were obtained, respectively, by linear and Poisson regressions.

Results

1,949 adolescents had information about screen time and sleep quality, and 1,851 about screen time and sleep duration. The median screen time was 4.5hs/24hs. The mean sleep duration was 7.6hs/24hs and the prevalence of bad sleep was 17.3% (15.7-19.0%). There was an inverse relationship between screen time and sleep duration. When compared with those with less than 2hs/24hs of screen time, adolescents with 6-8.8hs/24hs and ≥9hs experienced, respectively, 23.4 and 32.4 min reduction in sleep duration (β = -0.39; -0.62;-0.16 and β = -0.54; -0.77;-0.30). Adolescents with ≥9hs of screen time were 60% more likely to report bad sleep than those with less than 2hs/24hs (PR: 1.60; 1.10-2.32).

Conclusions

The median time spent using screens was longer than recommended. Screen use for ≥6hs/24hs was associated with a shorter sleep duration, and ≥9hs/24hs with poor sleep quality.

Time spent on social media use and BMI z-score: A cross-sectional explanatory pathway analysis of 10798 14-year-old boys and girls

BACKGROUND

The association between adolescent time spent on social media use and body mass index z-score (BMI z-score) is unclear. Pathways of association and sex differences are also unclear. This study examined the association between time spent on social media use and BMI z-score (primary objective) and potential explanatory pathways (secondary objective) for boys and girls.

METHODS

Data are from 5332 girls and 5466 boys aged 14 years in the UK Millennium Cohort Study. BMI z-score was regressed on self-reported time spent on social media use (h/day). Potential explanatory pathways explored included dietary intake, sleep duration, depressive symptoms, cyberbullying, body-weight satisfaction, self-esteem, and well-being. Sex-stratified multivariable linear regression and structural equation modelling were used to examine potential associations and explanatory pathways.

RESULTS

Using social media for ≥5 h/day (vs. <1 h/day) was positively associated with BMI z-score for girls (β [95% CI]) (0.15 [0.06, 0.25]) (primary objective, multivariable linear regression). For girls, the direct association was attenuated when sleep duration (0.12 [0.02, 0.22]), depressive symptoms (0.12 [0.02, 0.22]), body-weight satisfaction (0.07 [-0.02, 0.16]), and well-being (0.11 [0.01, 0.20]) were included (secondary objective, structural equation modelling). No associations were observed for boys and potential explanatory pathway variables were not examined.

CONCLUSIONS

In girls, high time spent on social media use (≥5 h/day) was positively associated with BMI z-score, and this association was partially explained by sleep duration, depressive symptoms, body-weight satisfaction, and well-being. Associations and attenuations between a self-reported summary variable of time spent on social media use and BMI z-score were small. Further research should examine whether time spent on social media use is related to other adolescent health metrics.

The association of physical activity, sleep, and screen time with mental health in Canadian adolescents during the COVID-19 pandemic: A longitudinal isotemporal substitution analysis

BACKGROUND

The impact of COVID-19 on adolescent mental health is a global concern. Increased screen time and reduced physical activity due to the lockdown measures have been linked to detrimental mental health outcomes; however, the literature remains limited by cross-sectional and retrospective designs, and consideration of behaviours in isolation. Prospective evidence is necessary to examine whether moderate-to-vigorous physical activity (MVPA), sleep and screen time influenced changes in mental health.

METHOD

Analyses used data from a prospective cohort study of secondary school students in Canada with baseline data from the 2018-2019 school year and linked follow-up data from online surveys completed during the initial COVID-19 outbreak (May-July 2020). Multilevel linear regression models were used to evaluate the within- and between-person isotemporal substitution effects of sleep, MVPA and screen time behaviours on depression, anxiety, subjective well-being, and trait emotional dysregulation.

RESULTS

Linked longitudinal data from 2645 students attending 44 schools were available. Between-person effects indicated that individuals who engaged in more MVPA and sleep while minimizing screen time had lower depression scores, less severe emotional dysregulation, and better subjective well-being. While controlling for between-person effects, within-person year-on-year change suggests those who increased screen time while decreasing either MVPA or sleep experienced mental health decline on all outcomes.

CONCLUSION

MVPA and sleep were associated with youth mental health during the early COVID-19 lockdown. Increasing MVPA and sleep (or at least mitigating the increase of screen time) compared to the prior year was associated with better mental health during the early pandemic. A limitation to consider is that the screen time measure represents a combination of screen behaviours, and effects of replacing screen time may have varied if distinctions were made.

Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study

BACKGROUND

Automated wearable cameras present a new opportunity to accurately assess human behavior. However, this technology is seldom used in the study of adolescent's screen exposure, and the field is reliant on poor-quality self-report data.

OBJECTIVE

This study aimed to examine adolescents' screen exposure by categorizing the type and context of behaviors using automated wearable cameras.

METHODS

Adolescents (mean age 15.4 years, SD 1.6 years; n=10) wore a camera for 3 school evenings and 1 weekend day. The camera captured an image every 10 seconds. Fieldwork was completed between February and March 2020, and data were analyzed in August 2020. Images were date and time stamped, and coded for screen type, content, and context.

RESULTS

Data representing 71,396 images were analyzed. Overall, 74.0% (52,842/71,396) of images contained screens and 16.8% (11,976/71,396) of images contained multiple screens. Most screen exposures involved television sets (25,950/71,396, 36.3%), smartphones (20,851/71,396, 29.2%), and laptop computers (15,309/71,396, 21.4%). The context of screen use differed by device type, although most screen exposures occurred at home (62,455/64,856, 96.3%) and with solitary engagement (54,430/64,856, 83.9%). The immediate after-school period saw high laptop computer use (4785/15,950, 30.0%), while smartphone use (2059/5320, 38.7%) peaked during prebedtime hours. Weekend screen exposure was high, with smartphone use (1070/1927, 55.5%) peaking in the early morning period and fluctuating throughout the day.

CONCLUSIONS

There was evidence for high screen use during the after-school and weekend period, mostly through solitary engagement, and within the home environment. The findings may inform the basis of larger studies aimed at examining screen exposure in free-living conditions.

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

Aim:

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

Methods:

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

Results:

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

Conclusion:

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

Associations between Home Environment, Children's and Parents' Characteristics and Children's TV Screen Time Behavior

In Ireland, television (TV) screen time is a highly prevalent sedentary behavior among children aged less than five years. Little is known about the influence of parental rules and policies or screen time availability and accessibility within the home on children’s TV screen time behaviors. This cross-sectional study aimed to examine the extent to which parents’ sociodemographic and sedentary behaviors are associated with children’s TV screen time; and to determine the associations between parents’ rules and practices, home physical environment and children’s daily TV viewing. Three hundred and thirty-two children aged 3–5 years and their parents participated in the study. Children’s TV screen time and home environmental characteristics (parents’ rules and practices and the physical environment) were assessed using questions from standardized and validated questionnaires. The data were analyzed using binary logistic regression. Within the different sedentary behaviors evaluated, parents’ TV viewing was positively associated with children’s TV screen time (OR 1.65, 95%CI 1.09–2.50, p = 0.018). Leaving the TV on, whether or not it was being watched, was associated with a 38% increased probability of children watching ≥ 1 h TV daily. Children whose parents restricted their outdoor activity were more likely to watch ≥ 1 h TV daily (OR 2.01, 95%CI 1.04–3.88, p = 0.036). Findings from the study demonstrated that parents’ own screen time behaviors, leaving the TV on whether it was being watched or not and restricting outdoor play were associated with higher children’s TV viewing in the home environment. This knowledge is essential to inform future interventions aimed to address the increase in screen time among young children.

A prospective longitudinal study of mobile touch screen device use and musculoskeletal symptoms and visual health in adolescents

This study aimed to examine prospective associations of mobile touch screen device (i.e. smartphone, tablet) use and patterns of use with musculoskeletal symptoms and visual health among adolescents. A representative sample of 1691 adolescents in Singapore (51% girls; 10-19 years) completed an online questionnaire at baseline and one-year follow-up. After adjusting for potential confounders, prospective associations were found between baseline smartphone use and follow-up neck/shoulder (OR = 1.61(95%CI = 1.06-2.44)) and low back (OR = 1.86(1.10-3.14)) symptoms; tablet use was also associated with neck/shoulder, low back and arms symptoms (OR = 1.33(1.04-1.71)to1.52(1.18-1.95)). No associations were observed between the duration of smartphone/tablet use and symptoms. Baseline patterns of use (bout length, certain types of activities, multitasking) were associated with follow-up musculoskeletal symptoms. Smartphone/tablet use was not related to visual outcomes (visual symptoms, wearing glasses/contact lenses, myopia) at follow-up. These findings suggest that patterns of smartphone/tablet use (though not the duration of use) can pose a prospective risk for musculoskeletal symptoms.

Associations between socioeconomic position and changes in children's screen-viewing between ages 6 and 9: a longitudinal study

OBJECTIVES

To explore socioeconomic differences in screen-viewing at ages 6 and 9, and how these are related to different media uses.

DESIGN

Longitudinal cohort study.

SETTING

Children recruited from 57 state-funded primary schools in Southwest England, UK.

PARTICIPANTS

1299 children at ages 5-6, 1223 children at ages 8-9, including 685 children at both time points.

OUTCOME MEASURES

Children's total screen-viewing time (parent-reported) and time spent using multiple screen devices simultaneously (multiscreen viewing), for weekdays and weekends.

METHODS

Negative binomial regression was used to model associations between socioeconomic variables (highest household education and area deprivation) and total screen-viewing at age 6 and the change from age 6 to 9. We additionally adjusted for child characteristics, parental influences and media devices in the home. Multiscreen viewing was analysed separately.

RESULTS

Household education was associated with children's screen-viewing at age 6 with lower screen-viewing in higher socioeconomic groups (21%-27% less in households with a Degree or Higher Degree, compared with General Certificate of Secondary Education: GCSE). These differences were explained by the presence of games consoles, parental limits on screen-viewing and average parent screen-viewing. Between ages 6 and 9, there were larger increases in screen-viewing for children from A level and Degree households (13% and 6%, respectively, in the week) and a decrease in Higher Degree households (16%), compared with GCSE households. Differences by household education remained when adjusting for media devices and parental factors.

CONCLUSIONS

Children's screen-viewing patterns differ by parental education with higher levels of viewing among children living in households with lower educational qualifications. These differences are already present at age 6, and continue at age 9. Strategies to manage child sedentary time, and particularly screen-viewing, may need to take account of the socioeconomic differences and target strategies to specific groups.

Sedentary Behaviors in Today's Youth: Approaches to the Prevention and Management of Childhood Obesity: A Scientific Statement From the American Heart Association

This scientific statement is about sedentary behavior and its relationship to obesity and other cardiometabolic outcomes in youth. A deleterious effect of sedentary behavior on cardiometabolic health is most notable for screen-based behaviors and adiposity; however, this relation is less apparent for other cardiometabolic outcomes or when sedentary time is measured with objective movement counters or position monitors. Increasing trends of screen time are concerning; the portability of screen-based devices and abundant access to unlimited programming and online content may be leading to new patterns of consumption that are exposing youth to multiple pathways harmful to cardiometabolic health. This American Heart Association scientific statement provides an updated perspective on sedentary behaviors specific to modern youth and their impact on cardiometabolic health and obesity. As we reflect on implications for practice, research, and policy, what emerges is the importance of understanding the context in which sedentary behaviors occur. There is also a need to capture the nature of sedentary behavior more accurately, both quantitatively and qualitatively, especially with respect to recreational screen-based devices. Further evidence is required to better inform public health interventions and to establish detailed quantitative guidelines on specific sedentary behaviors in youth. In the meantime, we suggest that televisions and other recreational screen-based devices be removed from bedrooms and absent during meal times. Daily device-free social interactions and outdoor play should be encouraged. In addition, parents/guardians should be supported to devise and enforce appropriate screen time regulations and to model healthy screen-based behaviors.

"From the moment I wake up I will use it…every day, very hour": a qualitative study on the patterns of adolescents' mobile touch screen device use from adolescent and parent perspectives

BACKGROUND

The use of mobile touch screen devices, e.g. smartphones and tablet computers, has become increasingly prevalent among adolescents. However, little is known about how adolescents use these devices and potential influences on their use. Hence, this qualitative study explored adolescents' perceptions on their patterns of use and factors influencing use, and perceptions and concerns from parents.

METHODS

Semi-structured interviews were conducted with adolescents (n = 36; 11 to 18 years) and their parents/caregivers (n = 28) in Singapore recruited to represent males and females across a range of ages from different socioeconomic groups. Prompts covered weekday and weekend use patterns, types of activities, perspectives on amount of use, parental control measures and concerns. Interviews were recorded and transcribed. Transcripts were coded and thematic analysis was carried out.

RESULTS

Smartphone was the most common mobile device owned and used by many of the adolescents, while only some used a tablet. Many adolescents and their parents felt that adolescents' MTSD use was high, frequent and ubiquitous, with frequent checking of device and multitasking during use. Reported influences of use included functional, personal and external influences. Some of the influences were irresistibility of mobile devices, lack of self-control, entertainment or relaxation value, and high use by peers, family and for schoolwork that contributed to high use, or school/parental control measures and lack of internet availability that limited use. Most adolescents were generally unconcerned about their use and perceived their usage as appropriate, while most parents expressed several concerns about their adolescents' use and perceived their usage as excessive.

CONCLUSIONS

This study has provided rich insights into the patterns and influences of contemporary mobile device use by adolescents. Mobile device use has become an integral part of adolescents' daily routines, and was affected by several functional, personal and external influences which either facilitated or limited their use. There also seemed to be a strong inclination for adolescents to frequently check and use their mobile devices. There is an urgent need to understand the implications of these common adolescent behaviours to inform advice for wise mobile device use by adolescents.

Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews

OBJECTIVES

To systematically examine the evidence of harms and benefits relating to time spent on screens for children and young people's (CYP) health and well-being, to inform policy.

METHODS

Systematic review of reviews undertaken to answer the question 'What is the evidence for health and well-being effects of screentime in children and adolescents (CYP)?' Electronic databases were searched for systematic reviews in February 2018. Eligible reviews reported associations between time on screens (screentime; any type) and any health/well-being outcome in CYP. Quality of reviews was assessed and strength of evidence across reviews evaluated.

RESULTS

13 reviews were identified (1 high quality, 9 medium and 3 low quality). 6 addressed body composition; 3 diet/energy intake; 7 mental health; 4 cardiovascular risk; 4 for fitness; 3 for sleep; 1 pain; 1 asthma. We found moderately strong evidence for associations between screentime and greater obesity/adiposity and higher depressive symptoms; moderate evidence for an association between screentime and higher energy intake, less healthy diet quality and poorer quality of life. There was weak evidence for associations of screentime with behaviour problems, anxiety, hyperactivity and inattention, poorer self-esteem, poorer well-being and poorer psychosocial health, metabolic syndrome, poorer cardiorespiratory fitness, poorer cognitive development and lower educational attainments and poor sleep outcomes. There was no or insufficient evidence for an association of screentime with eating disorders or suicidal ideation, individual cardiovascular risk factors, asthma prevalence or pain. Evidence for threshold effects was weak. We found weak evidence that small amounts of daily screen use is not harmful and may have some benefits.

CONCLUSIONS

There is evidence that higher levels of screentime is associated with a variety of health harms for CYP, with evidence strongest for adiposity, unhealthy diet, depressive symptoms and quality of life. Evidence to guide policy on safe CYP screentime exposure is limited.

PROSPERO REGISTRATION NUMBER

CRD42018089483.

Comparisons in Screen-Time Behaviours among Adolescents with and without Long-Term Illnesses or Disabilities: Results from 2013/14 HBSC Study

Reducing sedentary behaviours can help prevent non-communicable diseases, particularly among young adolescents with long term illnesses or disabilities (LTID). Much of young people’s voluntary sedentary time is related to screen-time behaviours (STBs) such as TV viewing, playing computer games, and using the computer for other activities. Although public health data on adolescents’ STB is growing, information about adolescents with LTID is currently lacking in a European context. The purpose of this study is to compare time on STBs between adolescents with and without LTID in European Countries through the HBSC 2013/14 study. Young adolescents (n = 61,329; boys 47.8%) from 15 European countries reported the time spent on TV viewing, playing computer games, and using the computer for other purposes on weekdays and the weekend. STBs were dichotomised based on international recommendations of less than 2 h per day, and Chi-square tests of independence were performed to investigate differences. STB time was combined to produce a sum score as dependent variable in multiple analysis of covariance with age and family affluence as covariates. There were statistically significant differences in computer gaming among boys and other computer use among girls for both weekdays and weekends, whereby adolescents with LTID reported higher use. In addition, both boys and girls with LTID spent more time on STBs than their same sex peers without LTID (Boys, F = 28.17, p < 0.001; Girls, F = 9.60, p = 0.002). The results of this study indicate a need for preventive strategies to address high levels of STB among young adolescents with LTID and reduce the risk of poor health outcomes associated with higher levels of sedentary behaviour.

Examining the challenges posed to parents by the contemporary screen environments of children: a qualitative investigation

BACKGROUND

The ubiquity of technology in modern society has led to the American Academy of Pediatrics adapting their screen-viewing (SV) recommendations for children. The revised guidelines encourage families to identify an appropriate balance between SV and other activities. The aims of this study were to explore parents' views of their child's SV time and how important it is for families to achieve a 'digital balance'.

METHODS

Semi-structured telephone interviews were conducted with 51 parents of 8-9-year-old children, between July and October 2016. Inductive and deductive content analyses were used to explore parents' perceptions of their child's level of SV (low, medium, high), how parents feel about child SV, and the importance placed on achieving a digital balance. Parent report of child SV behaviours on weekdays and weekend days were assessed via questionnaire.

RESULTS

Interview data revealed that because SV is considered the 'norm', parents struggle to limit it, partly because they want their children to be equipped for the modern technological world. While most parents believe SV to have negative effects on children, parents also report advantages to SV. Many parents feel that not all SV is equal, with tablets considered worse than television because of the isolated nature of activities, and educational SV considered more beneficial than non-educational SV. Most parents feel it is important for their family to achieve a digital balance, primarily to spend more quality family time together. Large variation was observed in parents' descriptions of child SV time on weekdays and weekend days.

CONCLUSIONS

Parents recognise the importance of digital balance but want their children to fit into the ever-advancing digital world. Parents do not treat all SV equally. Watching television and engaging in educational SV may be encouraged, while 'playing' on tablets is discouraged. These findings highlight the challenge faced by researchers and policy makers to help families achieve a digital balance, and strategies are needed to support parents to plan child SV time.

Development of the Adolescent Preoccupation with Screens Scale

BACKGROUND

Although public health concerns have been raised regarding the detrimental health effects of increasing rates of electronic screen use among adolescents, such effects have been small. Instruments currently available tend to be lengthy, have a clinical research focus, and assess young people's screen use on specific screen-based activities (e.g., TV, computer, or internet). None appear to address screen use across a broad range of screens, including mobile devices and screen-based activities. The objective was to develop a new and short self-report scale for investigating adolescents' screen use across all screens and screen-based activities in non-clinical settings.

METHODS

The Adolescent Preoccupation with Screens Scale (APSS) was developed over a three stage process. First, a review of the current literature and existing instruments was undertaken and suitable items identified. Second, the draft APSS was piloted with adolescents and item affectivity and discrimination indices were calculated. Third, a cross sectional school based online survey of 1967 Australian adolescents in grades 5 (10 years old), 7 (13 years) and 9 (15 years) from 25 randomly selected schools was conducted.

RESULTS

Factor Analysis on a sub-sample of the data (n = 782) and Confirmatory Factor Analysis on the remaining sub-sample (n = 1185), supported a two-factor model. The first factor reflects adolescents' mood management with screen use, and the second reflects a behavioural preoccupation. The measure demonstrated strong invariance across sex and across Grades 5, 7, and 9. Both factors displayed good internal consistency (α = .91 and .87, respectively). Sex and grade differences on both scales were investigated and boys in Grade 5 reported higher levels of both mood management and behavioural preoccupation with screens. There were no sex differences on mood management in Grades 7 and 9, but girls reported higher behavioural preoccupation in both these later grades.

CONCLUSION

The APSS provides researchers with a new, brief and robust measure of potentially problematic screen use across a wide array of screens, including mobile devices, so readily accessed during adolescence.

Touchscreen generation: children's current media use, parental supervision methods and attitudes towards contemporary media

AIM

To explore media preferences and use among young children, as well as to obtain information about parental supervision methods and beliefs about media.

METHOD

Ninety parents of three- to six-year-olds, recruited from a relatively economically advantaged area in the United Kingdom, completed a media opinion survey.

RESULTS

Although traditional television remains the favourite type of media platform among young children, touchscreen devices are gaining in popularity, and may promote simultaneous multi-screen use. Moreover, parents believe that the effects of media on developmental outcomes are generally positive. However, they do monitor the content of traditional and new media their children are exposed to.

CONCLUSION

This study shows an emerging evidence of concurrent multi-screen use among very young children. More detailed examination of early media multitasking, and its relationship to cognitive and behavioural outcomes, is necessary.

The mediating role of energy intake on the relationship between screen time behaviour and body mass index in adolescents with obesity: The HEARTY study

Adolescents spend up to 6-8 h/day in sedentary screen behaviour and screen time is an independent risk factor for obesity. However, the mechanisms by which screen time confers obesity risk remain unclear. Via community level recruitment this study examined whether the relationship between screen time behaviours and body mass index (BMI: kg/m²) was mediated by total energy intake or macronutrient consumption. In a cross-sectional study of post-pubertal adolescents (N = 283: 86M, 197F) with overweight or obesity at baseline of an intervention for weight control, we examined self-reported total energy intake (mean Calories from 3 day food diary), macronutrient intake (grams/day of carbohydrate, fat, protein) and total screen time (aggregate of hours/day watching TV, playing seated video games, and recreational computer use). BMI was objectively measured and converted to standardized scores (z-BMI). Simple and multiple mediation analyses were conducted using the bootstrapping approach described by Preacher and Hayes. Covariates included age, sex, ethnicity, parental education, Tanner stage, and self-reported physical activity. The relationship between screen time and z-BMI was significantly mediated by energy intake. Higher levels of carbohydrate intake, but not fat or protein intake, significantly mediated the relationship between screen time and z-BMI (95% bias-corrected and accelerated confidence interval [0.0004, 0.0074]). Higher carbohydrate intake mediated the relationship between TV viewing and z-BMI, and video gaming and z-BMI. In conclusion, the relationship between screen time and BMI appears to be mediated by increased energy intake, primarily in the form of higher carbohydrate intake. It is possible that reducing time spent watching TV and playing video games may reduce food intake and help promote dietary adherence needed for weight management in obese adolescents.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov ID: NCT00195858.

International Trends in Adolescent Screen-Time Behaviors From 2002 to 2010

PURPOSE

Engaging in prolonged screen-time behaviors (STBs) is detrimental for health. The objective of the present analyses was to examine temporal trends in TV viewing and computer use among adolescents across 30 countries.

METHODS

Data were derived from the cross-national Health Behaviour in School-aged Children study. Data on TV viewing and computer use for gaming and nongaming purposes were collected in 2002 (n = 139,725 [51.4% girls]), 2006 (n = 149,251 [51.3% girls]), and 2010 (n = 154,845 [51.2% girls]). The temporal trends in TV viewing and computer use were each tested for all countries combined and for each individual country by sex-specific univariate analysis of variance.

RESULTS

Between 2002 and 2010, TV viewing decreased slightly in most of the 30 countries among both boys and girls. This decrease was more than offset by a sharp increase in computer use, which was consistent across all countries. Overall, boys reported more hours of STBs. They also reported a slightly larger decrease in TV viewing and slightly larger increase in computer use. STBs were generally more frequent on weekend days.

CONCLUSIONS

The overall cross-national increases in STBs should be a call to action for public health practitioners, policy-makers, and researchers that interventions specifically focused on reducing STBs in youth are sorely needed. Because all countries experienced a trend in the same direction, it might be fruitful to learn more about the determinants of STBs among those countries in which hours of STBs are generally low as compared with other countries.

Managing the screen-viewing behaviours of children aged 5-6 years: a qualitative analysis of parental strategies

OBJECTIVES

The present study used qualitative methods to: (1) examine the strategies that were used by parents of children aged 5-6 years to manage screen viewing; (2) identify key factors that affect the implementation of the strategies and (3) develop suggestions for future intervention content.

DESIGN

Telephone interviews were conducted with parents of children aged 5-6 years participating in a larger study. Interviews were transcribed verbatim and analysed using an inductive and deductive content analysis. Coding and theme generation was iterative and refined throughout.

SETTING

Parents were recruited through 57 primary schools located in the greater Bristol area (UK).

PARTICIPANTS

53 parents of children aged 5-6 years.

RESULTS

Parents reported that for many children, screen viewing was a highly desirable behaviour that was difficult to manage, and that parents used the provision of screen viewing as a tool for reward and/or punishment. Parents managed screen viewing by setting limits in relation to daily events such as meals, before and after school, and bedtime. Screen-viewing rules were often altered depending on parental preferences and tasks. Inconsistent messaging within and between parents represented a source of conflict at times. Potential strategies to facilitate reducing screen viewing were identified, including setting screen-viewing limits in relation to specific events, collaborative rule setting, monitoring that involves mothers, fathers and the child, developing a family-specific set of alternative activities to screen viewing and developing a child's ability to self-monitor their own screen viewing.

CONCLUSIONS

Managing screen viewing is a challenge for many parents and can often cause tension in the home. The data presented in this paper provide key suggestions of new approaches that could be incorporated into behaviour change programmes to reduce child screen viewing.

Mutual relations between sleep deprivation, sleep stealers and risk behaviours in adolescents

Objectives

The aim is to evaluate the mutual influences between sleep duration/sleep deprivation (SD) and the sleep stealers/adolescent risk behaviours.

Methods

The national survey is a component of the Health Behaviour in School-Aged Children (HBSC) study, it is based on a school-based self-completed questionnaire; 3476 students were randomly selected from 139 randomly chosen Portuguese schools using as an unit the class, 53.8% were girls; 45.9% attended the 8th grade and 54.1% the 10th grade; the mean age was 14.9 years. The measured variables were: 1) gender and age; 2) sociodemographics; 3) sleep duration during the week and during weekends and computed SD; 4) screen time (computer use during the week and during the week end (PC use); watching TV and mobile phone use; 5) earlier sexual behaviour; 6) violent behaviours: fights, use of weapons; 7) use of tobacco, alcohol and drugs. The statistical analysis included Pearson chi-square tests and logistic regression.

Results

Excessive use of mobile phone, of computer use during weekdays, and internet facilities; substance use; violence and earlier sexual relations had significantly higher prevalence in sleep deprived adolescents. By logistic regression only using PC during weekdays, tobacco, drugs and weapons were associated to SD, while SD was associated to PC use during weekdays, tobacco use and drugs’ use. Computer uses tend to be associated among themselves. Mobile phone is associated with computer practices and with alcohol and tobacco use. Tobacco is associated with most risk behaviours. Alcohol use is associated with other substance use, computer use and violent behaviours. Violence behaviours, earlier sex and drugs use tend to be associated among themselves.

Conclusions

Sleep stealers use and risk behaviours are more prevalent in sleep deprived adolescents, but, in spite of significant individual associations, models of risk behaviours are still lacking.

[Prevalence of sedentary behavior and its correlates among primary and secondary school students]

OBJECTIVE

To determine the students' exposure to four different sedentary behavior (SB) indi-cators and their associations with gender, grade, age, economic status and physical activity level.

METHODS

A cross-sectional study was conducted in 2013. The SB was collected using the HELENA instrument, composed by screen time questions (TV, video games and internet) and sitting activ-ities on school opposite shift. The cut point of ≥2h/day was used to categorize the outcome. The Poisson regression was used for associations between the outcome and the independent variables (95% significance level), controlling for confounding variables and the possible design effect.

RESULTS

The sample was composed by 8661 students. The overall prevalence of SB was 69.2% (CI95% 68.1-70.2) on weekdays, and 79.6% (CI95% 78.7-80.5) on weekends. Females were more associated with the outcome, except to electronic games. Advanced grades students were more involved in sitting tasks when compared to the early grades. Older students were more likely to surf on net for ≥2h/day. Higher economic level students were more likely to engage in video games and internet. Active individuals were less likely to engage in SB on weekdays.

CONCLUSIONS

The prevalence of SB was high, mainly on weekends. The associations with sex, age, grade and physical activity level should be considered into elaboration of more efficient interventions on SB control.

Effect of Television on Obesity and Excess of Weight and Consequences of Health

The epidemic nature of obesity in industrialized countries is a serious health and social concern. The number of obese people has significantly increased in the past 20 years. In Poland excess weight and obesity are a serious epidemiological concern. In terms of the number of overweight people, Poland is a leader in Europe. Therefore, indicating many serious health concerns that are the natural consequences of this phenomenon has become important from the point of view of public health. This work identifies numerous diseases which are a direct consequence of obesity due to bad eating habits and lack of physical exercise among Poles. It discusses the negative effect of television and food commercials contributing to an increase in obesity, not only among adults but also among children. This is an overview forming grounds for further studies into ways of preventing the development of diseases due to obesity, both in Poland and in the world.

Modern screen-use behaviors: the effects of single- and multi-screen use on energy intake

PURPOSE

The effects of using multiple screens at once on energy intake (EI) are unknown. This study compared EI of participants with access to multiple screens (television + iPad + smartphone) versus a single screen (television).

METHODS

A laboratory-based, randomized, two-arm parallel (multi-screen vs. single-screen) trial was conducted in 78 adolescents (ages, 13-18 years). Food and drink were available during a 1-hour exposure period. Total EI was the primary outcome. Linear regression analyses were conducted to test the treatment difference, adjusting for age, sex, body mass index, and appetite at baseline.

RESULTS

Total EI did not differ significantly between the two groups (multi-screen, 758 kcal [standard error = 75] vs. single-screen, 681 kcal [standard error = 75]; difference, +77 kcal; 95% confidence interval, -166 to +320).

CONCLUSIONS

EI did not differ between adolescents with access to multiple screens and those with access to a single screen; however, limitations in the study design may have decreased the power of the study.

Associations between rule-based parenting practices and child screen viewing: A cross-sectional study

Background

Child screen viewing (SV) is positively associated with poor health indicators. Interventions addressing rule-based parenting practices may offer an effective means of limiting SV. This study examined associations between rule-based parenting practices (limit and collaborative rule setting) and SV in 6–8-year old children.

Methods

An online survey of 735 mothers in 2011 assessed: time that children spent engaged in SV activities; and the use of limit and collaborative rule setting. Logistic regression was used to examine the extent to which limit and collaborative rule setting were associated with SV behaviours.

Results

‘Always’ setting limits was associated with more TV viewing, computer, smartphone and game-console use and a positive association was found between ‘always’ setting limits for game-console use and multi-SV (in girls). Associations were stronger in mothers of girls compared to mothers of boys. ‘Sometimes’ setting limits was associated with more TV viewing. There was no association between ‘sometimes’ setting limits and computer, game-console or smartphone use. There was a negative association between collaborative rule setting and game-console use in boys.

Conclusions

Limit setting is associated with greater SV. Collaborative rule setting may be effective for managing boys' game-console use. More research is needed to understand rule-based parenting practices.

•

We examined parent limit and collaborative rule setting and child screen viewing.

•

‘Always’ vs ‘never or rarely’ limit setting was associated with more screen viewing.

•

Associations were stronger in mothers of girls compared to mothers of boys.

•

Collaborative rule setting may be effective for managing boys' game-console use.

•

More research is needed to understand the nature of rule-based parenting practices.

The Dynamic Family Home: a qualitative exploration of physical environmental influences on children's sedentary behaviour and physical activity within the home space

Background

Recent changes in home physical environments, such as decreasing outdoor space and increasing electronic media, may negatively affect health by facilitating sedentariness and reducing physical activity. As children spend much of their time at home they are particularly vulnerable. This study qualitatively explored family perceptions of physical environmental influences on sedentary behaviour and physical activity within the home space.

Methods

Home based interviews were conducted with 28 families with children aged 9–13 years (total n = 74 individuals), living in Perth, Australia. Families were stratified by socioeconomic status and selected to provide variation in housing. Qualitative methods included a family interview, observation and home tour where families guided the researcher through their home, enabling discussion while in the physical home space. Audio recordings were transcribed verbatim and thematically analysed.

Results

Emergent themes related to children’s sedentariness and physical activity included overall size, space and design of the home; allocation of home space; equipment within the home space; perceived safety of the home space; and the changing nature of the home space. Families reported that children’s activity options were limited when houses and yards were small. In larger homes, multiple indoor living rooms usually housed additional sedentary entertainment options, although parents reported that open plan home layouts could facilitate monitoring of children’s electronic media use. Most families reported changing the allocation and contents of their home space in response to changing priorities and circumstances.

Conclusions

The physical home environment can enhance or limit opportunities for children’s sedentary behaviour and physical activity. However, the home space is a dynamic ecological setting that is amenable to change and is largely shaped by the family living within it, thus differentiating it from other settings. While size and space were considered important, how families prioritise the use of their home space and overcome the challenges posed by the physical environment may be of equal or greater importance in establishing supportive home environments. Further research is required to tease out how physical, social and individual factors interact within the family home space to influence children’s sedentary behaviour and physical activity at home.

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-014-0157-1) contains supplementary material, which is available to authorized users.

Sedentary behaviour and diet across the lifespan: an updated systematic review

BACKGROUND

Sedentary behaviour and its association with dietary intake in young people and adults are important topics and were systematically reviewed in 2011. There is a need to update this evidence given the changing nature of sedentary behaviour and continued interest in this field. This review aims to assist researchers in better interpreting the diversity of findings concerning sedentary behaviour and weight status.

OBJECTIVE

To provide an update of the associations between sedentary behaviour and dietary intake across the lifespan.

METHODS

Electronic databases searched were MEDLINE, PsychInfo, Cochrane Library, Web of Science and Science Direct for publications between January 2010 and October 2013, thus updating a previous review. Included were observational studies assessing an association between at least one sedentary behaviour and at least one aspect of dietary intake in preschool children (<5 years), school-aged children (6-11 years), adolescents (12-18 years) and adults (>18 years).

RESULTS

27 papers met inclusion criteria (preschool k=3, school-aged children k=9, adolescents k=15, adults k=3). For all three groups of young people, trends were evident for higher levels of sedentary behaviour, especially TV viewing, to be associated with a less healthful diet, such as less fruit and vegetable and greater consumption of energy-dense snacks and sugar sweetened beverages. Data for the three studies with adults were less conclusive.

CONCLUSIONS

Sedentary behaviour continues to be associated with unhealthy diet in young people in mostly cross-sectional studies. More studies utilising a prospective design are needed to corroborate findings and more studies are needed with adults.

Cross-sectional associations between the screen-time of parents and young children: differences by parent and child gender and day of the week

BACKGROUND

Greater time spent screen-viewing (SV) has been linked to adverse health outcomes. The aim of this study was to examine whether parental SV time is associated with child SV time on week and weekend days.

METHODS

Cross-sectional survey of 1078 children aged 5-6 and at least 1 parent. Child and parent SV was reported for weekday and weekend days. Logistic regression examined whether parental SV time was associated with child SV time, with separate analyses for mothers and fathers and interaction terms for child gender.

RESULTS

12% of boys, 8% of girls and 30% of mothers and fathers watched ≥ 2 hours of TV each weekday. On a weekend day, 45% of boys, 43% of girls, 53% of mothers and 57% of fathers spent ≥ 2 hours watching TV. Where parents exceeded 2 hours TV-watching per weekday, children were 3.4 times more likely to spend ≥ 2 hours TV-watching if their father exceeded the threshold with odds of 3.7 for mothers. At weekends, daughters of fathers who exceeded 2 hours watching TV were over twice as likely as sons to exceed this level. Evidence that parent time spent using computers was associated with child computer use was also strongest between fathers and daughters (vs. sons) (OR 3.5 vs. 1.0, p interaction=0.027).

CONCLUSIONS

Strong associations were observed between parent and child SV and patterns were different for weekdays versus weekend days. Results show that time spent SV for both parents is strongly associated with child SV, highlighting the need for interventions targeting both parents and children.

Trends in television time, non-gaming PC use and moderate-to-vigorous physical activity among German adolescents 2002-2010

Background

Studies in youth highlight that moderate-to-vigorous physical activity (MVPA) and screen-time behaviours such as television viewing and PC use are associated with a range of health outcomes. However, little is known about recent trends in these behaviours in adolescents. This paper presents time trends in German adolescents’ television time, non-gaming PC use as well as MVPA from 2002 to 2010.

Methods

Data were derived from the cross-sectional German Health Behaviour in School-aged Children (HBSC) study in 2002, 2006 and 2010. Analyses were based on 16,918 11-to 15-year olds boys (49.1%) and girls. Outcome variables were time spent in TV viewing and using a PC (weekday and weekend day) as well as the number of days achieving 60 minutes of MVPA. Changes in both screen-time behaviours and MVPA over time were analysed using sex-specific linear regression, controlling for age and family affluence.

Results

TV viewing on weekdays, but not at weekends, declined steadily over time with a difference between 2002 and 2010 of 12.4 min/day in girls and 18.3 min/day in boys (p for trend < .01). We found a strong increase in PC use for non-gaming purposes over time for girls only, with a difference between 2002 and 2010 of 54.1 min/weekday and 68.8 min/weekend day (p < .001). For MVPA we found a slight statistically significant increase in terms of meeting PA guidelines as well as days/week in MVPA for boys and girls (p < .001). In 2010 14.0% of girls and 19.9% of boys met PA guideline.

Conclusion

Although MVPA increased from 2002 to 2010 in German adolescents, the time spent in MVPA was still low. Despite the observed decrease in TV viewing, there was no overall decline in the observed screen-based behaviours, especially for girls. This is mainly due to a marked increase in use of a PC for chatting on-line, internet, emailing, homework etc. among girls during the last ten years which outweighs the corresponding decrease in TV viewing. The findings highlight a need for strategies and interventions aimed at reducing screen-time behaviours and promoting MVPA.

The non-advertising effects of screen-based sedentary activities on acute eating behaviours in children, adolescents, and young adults. A systematic review

Sedentary screen time may be an important determinant of childhood obesity. A number of potential mechanisms to explain the link between screen time and increased bodyweight have been proposed; however, the relationship appears to be best explained by the effects on dietary intake, which is attributed to either food advertising or effects independent of food advertising. Technological advances have allowed for greater accessibility and exposure to advertisement-free screen-based media. This review was conducted to systematically synthesise the evidence from laboratory based studies which have investigated the non-advertising effects of screen time (TV viewing, sedentary video games, and computer use) on dietary intake in children, adolescents, and young adults. MEDLINE, PubMed, PsychInfo, CINAHL, and Embase were searched from inception through 5 July 2013. Ten trials met the inclusion criteria and were included in the review. Risk of study bias was judged to range from low to high. Screen time in the absence of food advertising was consistently found to be associated with increased dietary intake compared with non-screen behaviours. Suggested explanations for this relationship included: distraction, interruption of physiologic food regulation, screen time as a conditioned cue to eat, disruption of memory formation, and the effects of the stress-induced reward system. Due to the limited number of high-quality studies available for this review, our findings are preliminary. More work is required to better establish the link between dietary intake and advertisement-free screen time and assess whether differences exist between the different screen-based activities.

A place for play? The influence of the home physical environment on children's physical activity and sedentary behaviour

The home environment is an important influence on the sedentary behaviour and physical activity of children, who have limited independent mobility and spend much of their time at home. This article reviews the current evidence regarding the influence of the home physical environment on the sedentary behaviour and physical activity of children aged 8–14 years. A literature search of peer reviewed articles published between 2005 and 2011 resulted in 38 observational studies (21 with activity outcomes, 23 with sedentary outcomes) and 11 experimental studies included in the review. The most commonly investigated behavioural outcomes were television watching and moderate to vigorous physical activity. Media equipment in the home and to a lesser extent the bedroom were positively associated with children’s sedentary behaviour. Physical activity equipment and the house and yard were not associated with physical activity, although environmental measures were exclusively self-reported. On the other hand, physical activity equipment was inversely associated with sedentary behaviours in half of studies. Observational studies that investigated the influence of the physical and social environment within the home space, found that the social environment, particularly the role of parents, was important. Experimental studies that changed the home physical environment by introducing a television limiting device successfully decreased television viewing, whereas the influence of introducing an active video game on activity outcomes was inconsistent. Results highlight that the home environment is an important influence on children’s sedentary behaviour and physical activity, about which much is still unknown. While changing or controlling the home physical environment shows promise for reducing screen based sedentary behaviour, further interventions are needed to understand the broader impact of these changes. Future studies should prioritise investigating the influence of the home physical environment, and its interaction with the social environment, on objectively measured sedentary time and home context specific behaviours, ideally including technologies that allow objective measures of the home space.

General and specific approaches to media parenting: a systematic review of current measures, associations with screen-viewing, and measurement implications

BACKGROUND

Parent-focused interventions may help to reduce youth screen-viewing (SV). This review synthesized current information on the links between parenting styles, parenting practices, and youth SV with a focus on measurement.

METHODS

A systematic review of electronic databases was conducted.

RESULTS

In all, 29 of 1189 studies met the inclusion criteria. Parenting practices were divided into rule and nonrule-based practices. Seven rules: (1) Limits on total time (n studies=23); (2) limits on time of day (n=7); (3) content restriction (n=11); (4) mealtime rules (n=2); (5) parental supervision (n=3); (6) contingent screentime (n=3); and (7) no-TV policy (n=1) were reported. Two nonrule-based practices were reported: Co-viewing (n=6) and encouragement to view (n=2). Three studies (10.3%) provided information on parenting styles. Only 12 studies (41.4%) provided information on the reliability/validity of the outcome measure, 15 (51.7%) studies provided information on the reliability/validity of the parenting measure, and 6 (20.7%) provided information on the reliability/validity of both outcome and exposure measures.

CONCLUSIONS

There is mixed evidence that parenting styles and media-related parenting practices are associated with youth SV. The assessment of parental influence of youth media use is hampered by the diversity of measures that have been used. There is a need for new measures that assess a range of media parenting practices that are relevant to multiple forms of SV.

To remove or to replace traditional electronic games? A crossover randomised controlled trial on the impact of removing or replacing home access to electronic games on physical activity and sedentary behaviour in children aged 10-12 years

OBJECTIVE

To evaluate the impact of (1) the removal of home access to traditional electronic games or (2) their replacement with active input electronic games, on daily physical activity and sedentary behaviour in children aged 10-12 years.

DESIGN

Crossover randomised controlled trial, over 6 months.

SETTING

Family homes in metropolitan Perth, Australia from 2007 to 2010.

PARTICIPANTS

10-year-old to 12-year-old children were recruited through school and community media. From 210 children who were eligible, 74 met inclusion criteria, 8 withdrew and 10 had insufficient primary outcome measures, leaving 56 children (29 female) for analysis.

INTERVENTION

A counterbalanced randomised order of three conditions sustained for 8 weeks each: no home access to electronic games, home access to traditional electronic games and home access to active input electronic games.

MAIN OUTCOME MEASURES

Primary outcome was accelerometer assessed moderate/vigorous physical activity (MVPA). Secondary outcomes included sedentary time and diary assessed physical activity and sedentary behaviours.

RESULTS

Daily MVPA across the whole week was not significantly different between conditions. However, compared with home access to traditional electronic games, removal of all electronic games resulted in a significant increase in MVPA (mean 3.8 min/day, 95% CI 1.5 to 6.1) and a decrease in sedentary time (4.7 min/day, 0.0 to 9.5) in the after-school period. Similarly, replacing traditional games with active input games resulted in a significant increase in MVPA (3.2 min/day, 0.9 to 5.5) and a decrease in sedentary time (6.2 min/day, 1.4 to 11.4) in the after-school period. Diary reports supported an increase in physical activity and a decrease in screen-based sedentary behaviours with both interventions.

CONCLUSIONS

Removal of sedentary electronic games from the child's home and replacing these with active electronic games both resulted in small, objectively measured improvements in after-school activity and sedentary time. Parents can be advised that replacing sedentary electronic games with active electronic games is likely to have the same effect as removing all electronic games.

TRIAL REGISTRATION

Australia and New Zealand Clinical Trials Registry (ACTRN 12609000279224).

Feasibility trial evaluation of a physical activity and screen-viewing course for parents of 6 to 8 year-old children: Teamplay

BACKGROUND

Many children spend too much time screen-viewing (watching TV, surfing the internet and playing video games) and do not meet physical activity (PA) guidelines. Parents are important influences on children's PA and screen-viewing (SV). There is a shortage of parent-focused interventions to change children's PA and SV.

METHODS

Teamplay was a two arm individualized randomized controlled feasibility trial. Participants were parents of 6-8 year old children. Intervention participants were invited to attend an eight week parenting program with each session lasting 2 hours. Children and parents wore an accelerometer for seven days and minutes of moderate-to-vigorous intensity PA (MVPA) were derived. Parents were also asked to report the average number of hours per day that both they and the target child spent watching TV. Measures were assessed at baseline (time 0) at the end of the intervention (week 8) and 2 months after the intervention had ended (week 16).

RESULTS

There were 75 participants who provided consent and were randomized but 27 participants withdrew post-randomization. Children in the intervention group engaged in 2.6 fewer minutes of weekday MVPA at Time 1 but engaged in 11 more minutes of weekend MVPA. At Time 1 the intervention parents engaged in 9 more minutes of weekday MVPA and 13 more minutes of weekend MVPA. The proportion of children in the intervention group watching ≥ 2 hours per day of TV on weekend days decreased after the intervention (time 0 = 76%, time 1 = 39%, time 2 = 50%), while the control group proportion increased slightly (79%, 86% and 87%). Parental weekday TV watching decreased in both groups. In post-study interviews many mothers reported problems associated with wearing the accelerometers. In terms of a future full-scale trial, a sample of between 80 and 340 families would be needed to detect a mean difference of 10-minutes of weekend MVPA.

CONCLUSIONS

Teamplay is a promising parenting program in an under-researched area. The intervention was acceptable to parents, and all elements of the study protocol were successfully completed. Simple changes to the trial protocol could result in more complete data collection and study engagement.

Parental modelling, media equipment and screen-viewing among young children: cross-sectional study

OBJECTIVE

To examine whether parental screen-viewing, parental attitudes or access to media equipment were associated with the screen-viewing of 6-year-old to 8-year-old children.

DESIGN

Cross-sectional survey.

SETTING

Online survey.

MAIN OUTCOME

Parental report of the number of hours per weekday that they and, separately, their 6-year-old to 8-year-old child spent watching TV, using a games console, a smart-phone and multiscreen viewing. Parental screen-viewing, parental attitudes and pieces of media equipment were exposures.

RESULTS

Over 75% of the parents and 62% of the children spent more than 2 h/weekday watching TV. Over two-thirds of the parents and almost 40% of the children spent more than an hour per day multiscreen viewing. The mean number of pieces of media equipment in the home was 5.9 items, with 1.3 items in the child's bedroom. Children who had parents who spent more than 2 h/day watching TV were over 7.8 times more likely to exceed the 2 h threshold. Girls and boys who had a parent who spent an hour or more multiscreen viewing were 34 times more likely to also spend more than an hour per day multiscreen viewing. Media equipment in the child's bedroom was associated with higher TV viewing, computer time and multiscreen viewing. Each increment in the parental agreement that watching TV was relaxing for their child was associated with a 49% increase in the likelihood that the child spent more than 2 h/day watching TV.

CONCLUSIONS

Children who have parents who engage in high levels of screen-viewing are more likely to engage in high levels of screen-viewing. Access to media equipment, particularly in the child's bedroom, was associated with higher levels of screen-viewing. Family-based strategies to reduce screen-viewing and limit media equipment access may be important ways to reduce child screen-viewing.

Importance of sports during youth and exercise barriers in 20- to 29-year-old male nonathletes differently motivated for regular physical activities

The number of sedentary young adults has dramatically increased in past decades, and sedentary lifestyles are adopted at an increasingly earlier age. Little is known about barriers or predictors to (re)initiate regular physical activity in this group. The purpose of the study is to (a) identify subgroups in nonathletes differing in their amenability to physical exercise, (b) to analyze them for differences in barriers and intention to exercise, and (c) compare importance of sports during youth in nonathletes to trained peers. Using a health and fitness questionnaire 589 nonathletes were queried in the cross-sectional survey and compared with 270 trained peers. Athletic abstainers (A), lower (L), and higher (H) motivated nonathletes were separated based on previous engagement in sports. Of the nonathletes, 54.7% reported only 1 barrier to exercise. Although this feature was most prominent in H (71.5%), the other groups showed significantly more barriers and a broader distribution. Similar characteristics but minor differences were observed for perceived importance of sports during youth. The most significant differences between athletes and nonathletes emerged enquiring the attitude and activity of the parents. The majority of nonathletes (72.8%) indicate their intention to exercise in the future. Their intention differed significantly in H (88.1%), L (76.1%), and A (59.1%). However, there are good reasons to doubt that most of those intending nonathletes will actually become physically active. Even in the analyzed narrow age range of men different motivated groups of nonathletes were found. Because of the differences in receptiveness and approachability health promotion policies may not only consider the often recommended tailored interventions but also carefully designed incentive programs.

Parent and child screen-viewing time and home media environment

BACKGROUND

Screen-viewing time has been associated with adverse health outcomes. Data on the predictors of youth screen-viewing time is predominately from older children in North America. Parental and home media environment factors that are associated with screen-viewing time could be targeted in interventions.

PURPOSE

Examine if parental screen-viewing time and electronic media (access to game equipment, TVs, PCs, and laptops) environment factors were associated with Portuguese children's screen-viewing time and if associations differed by child age (<7 vs ≥7 years); gender; or type of screen viewing.

METHODS

Data are reported for 2965 families with children aged 3-10 years. Data were collected in 2009-2010 and analyzed in 2011. Outcomes were child spending ≥2 hours watching TV and ≥1 hour per day playing with combined other media. Exposures were mothers and fathers watching ≥2 hours of TV and electronic media variables.

RESULTS

Parental TV-viewing time was strongly associated with child weekday and weekend TV-viewing time across all four gender and age subgroups. Maternal TV-viewing time was a stronger predictor of child TV-viewing time than paternal TV-viewing time. There was very limited evidence that parental TV-viewing time was associated with combined other media time among boys or girls. Access to electronic game equipment increased the likelihood that children spent >1 hour using combined other media on weekdays and weekend days.

CONCLUSIONS

Parental TV-viewing time was associated with Portuguese children's TV-viewing time. The numbers of TVs in the household and electronic games equipment access were also associated with TV- and combined other media-viewing/usage time.

Neighborhood disorder and screen time among 10-16 year old Canadian youth: a cross-sectional study

Background

Screen time activities (e.g., television, computers, video games) have been linked to several negative health outcomes among young people. In order to develop evidence-based interventions to reduce screen time, the factors that influence the behavior need to be better understood. High neighborhood disorder, which may encourage young people to stay indoors where screen time activities are readily available, is one potential factor to consider.

Methods

Results are based on 15,917 youth in grades 6-10 (aged 10-16 years old) who participated in the Canadian 2009/10 Health Behaviour in School-aged Children Survey (HBSC). Total hours per week of television, video games, and computer use were reported by the participating students in the HBSC student questionnaire. Ten items of neighborhood disorder including safety, neighbors taking advantage, drugs/drinking in public, ethnic tensions, gangs, crime, conditions of buildings/grounds, abandoned buildings, litter, and graffiti were measured using the HBSC student questionnaire, the HBSC administrator questionnaire, and Geographic Information Systems. Based upon these 10 items, social and physical neighborhood disorder variables were derived using principal component analysis. Multivariate multilevel logistic regression analyses were used to examine the relationship between social and physical neighborhood disorder and individual screen time variables.

Results

High (top quartile) social neighborhood disorder was associated with approximately 35-45% increased risk of high (top quartile) television, computer, and video game use. Physical neighborhood disorder was not associated with screen time activities after adjusting for social neighborhood disorder. However, high social and physical neighborhood disorder combined was associated with approximately 40-60% increased likelihood of high television, computer, and video game use.

Conclusion

High neighborhood disorder is one environmental factor that may be important to consider for future public health interventions and strategies aiming to reduce screen time among youth.