Screen Time Sedentary Behaviors Research Articles

Relating outdoor play to sedentary behavior and physical activity in youth - results from a cohort study

BackgroundOutdoor play, sedentary behavior (SB), and moderate-to-vigorous physical activity (MVPA) are related to youth’s health, however, there are research gaps regarding 1) associations between outdoor play, SB, and MVPA across a broad pediatric age range (6–17 years), and 2) longitudinal associations between outdoor play, SB, and MVPA across childhood and adolescence. Two studies were conducted to address those research gaps: Study 1 aimed to investigate relationships between outdoor play and accelerometer-assessed SB and MVPA in a cross-sectional nationwide sample of children and adolescents in Germany. Study 2 aimed to investigate prospective associations between outdoor play and self-reported screen-time SB and MVPA and in a sample of children with three measurement timepoints across 11 years.MethodsData were obtained of the German national representative Motorik-Modul (MoMo) Study and the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). In Study 1, N = 2278 participants (6–17 years) were included with self-reported outdoor play and accelerometer-assessed SB and MVPA. Associations were examined via multiple linear regressions. In Study 2, N = 570 participants (baseline: 4–7 years) were included in the longitudinal analysis with follow-ups six and 11 years later. Screen-time SB (TV watching and PC/Gaming), MVPA, and outdoor play were self-reported. Associations were investigated through a path prediction model.ResultsStudy 1 showed that compared to <1 h outdoor play, higher engagement in daily outdoor play was related to lower SB (1-2 h: − 9.75 min/day, P = 0.017; ≥2 h: − 17.78 min/day, P < 0.001) and higher MVPA (≥2 h: + 3.87 min/day, P = 0.001). The cross-sectional relationship between MVPA and outdoor play was moderated by sex (in favor of males) and age (in favor of younger children). Study 2 showed that outdoor play in early childhood negatively predicted PC use/Gaming in later childhood, but was unrelated to MVPA.ConclusionIn Study 1, outdoor play was negatively related to SB cross-sectionally. In Study 2, outdoor play in early childhood was negatively related to PC and Gaming time in later childhood. Thus, providing outdoor play opportunities, especially during early childhood, has potential to prevent SB. Future research should investigate longitudinal relationships using device-based assessments for SB and MVPA.

Cannabis Use, Screen Time, and Internalizing Symptoms among Canadian Youth: Testing Mediation Pathways

Background: Existing research suggests positive correlations between screen time sedentary behaviors (STSB) and substance use, including cannabis use, among youth. However, little research has examined what factors mediate these relationships. Methods: This study examined mediating pathways among STSB, internalizing symptoms (IS), and cannabis use in a linked longitudinal sample of 28 269 Canadian youth who participated in the COMPASS study over a two-year period (2017/18 to 2018/19). Structural equation modeling examined two main hypotheses cross-sectionally and over time: 1) if IS mediated associations between STSB and cannabis use frequency, and 2) if STSB mediated associations between IS and cannabis use frequency. Results: Results demonstrated significant partial mediation effects for both hypotheses. For example, indirect effects indicated that IS mediated the association between STSB and cannabis use both cross sectionally (95% CI: 0.021, 0.029) and longitudinally (95% CI: 0.006, 0.010). STSB also mediated associations between IS and cannabis use cross sectionally (95% CI: 0.015, 0.023) and longitudinally (95% CI: 0.010, 0.014). This study demonstrated that the associations between STSB, internalizing symptoms and cannabis use are complex, involving mediation in both directions. Discussion: These findings can be used to inform public health initiatives that aim to take a comprehensive approach to addressing negative health behaviors and outcomes, as it is clear that the multi-directional relationships between STSB and mental health may in-turn impact other health behaviors. Future research should continue to examine mediating factors between STSB and substance use among youth, including exploration of associations with other substances. Supplemental data for this article is available online at https://doi.org/10.1080/10826084.2021.1922455 .

Does adult recreational screen-time sedentary behavior have an effect on self-perceived health?

ObjectivesSedentary behavior is a risk factor for comorbidities independently of physical activity. Some studies have reported screen time as an unhealthier form of sedentary behavior. This study assessed the association between recreational screen-time behavior and self-perceived health. Study designThis is a cross-sectional study. MethodsAs part of the Salut als Carrers Project, in 2018 a survey was conducted in a representative sample (n ​= ​795) of residents aged ​≥ ​18 years living in the borough of Horta, in Barcelona. The survey assessed self-perceived health, recreational screen-time behavior on working and non-working days (Marshall questionnaire), leisure time physical activity (International Physical Activity Questionnaire [IPAQ] long form), socioeconomic status, and age. We analyzed associations between self-perceived health and recreational screen-time sedentary behavior, with adjustment of robust Poisson models for social class, age, and leisure physical activity. All analyses were stratified by gender. ResultsA total of 82.7% of men and 82.5% of women reported sedentary behavior during recreational screen time of ≥3 ​h/day on working days, and 63.9% of men and 65.8% of women on non-working days. Spending ≥3 ​h/day sitting in front of a screen for leisure was associated with poor self-perceived health only on working days for men [PR ​= ​1.87 (1.13–3.09)] but not for women [PR ​= ​1.32 (0.82–2.11)] regardless of leisure physical activity, age, and social class. ConclusionsIn adults, sedentary behavior during recreational screen time on working days is adversely associated with perceived ill health in men, irrespective of leisure time physical activity. Public health interventions could benefit from promoting a reduction in leisure screen sitting time after working hours.

The Role of Recreational Online Activities in School-Based Screen Time Sedentary Behaviour Interventions for Adolescents: A Systematic and Critical Literature Review

Sedentary behaviours are highly associated with obesity and other important health outcomes in adolescence. This paper reviews screen time and its role within school-based behavioural interventions targeting adolescents between the years 2007 and 2019. A systematic literature review following PRISMA guidelines was conducted across five major databases to identify interventions targeting screen time—in addition to TV/DVD viewing. The review identified a total of 30 papers analysing 15 studies across 16 countries aiming at addressing reduction of recreational screen time (internet use and gaming) in addition to television/DVD viewing. All of the interventions focused exclusively on behaviour change, targeting in the majority both reduction of sedentary behaviours along with strategies to increase physical activity levels. A mix of intervention effects were found in the reviewed studies. Findings suggest aiming only for reduction in time spent on screen-based behaviour within interventions could be a limited strategy in ameliorating excessive screen use, if not targeted, in parallel, with strategies to address other developmental, contextual and motivational factors that are key components in driving the occurrence and maintenance of adolescent online behaviours. Additionally, it raises the need for a differential treatment and assessment of each online activity within the interventions due to the heterogeneity of the construct of screen time. Recommendations for enhancing the effectiveness of school-based sedentary behaviour interventions and implications for public policy are discussed.

Examining the association between exposure to various screen time sedentary behaviours and cannabis use among youth in the COMPASS study.

BackgroundCanadian youth are among the top users of cannabis globally. The Canadian federal government identified protecting youth from cannabis-related harms as a key public health objective aligned with the legalization and strict regulation of cannabis. While there are well-established associations between screen time sedentary behaviour (STSB) and alcohol and tobacco use, the association with cannabis use is understudied. The purpose of this study is to examine the association between various types of STSBs and cannabis use in a large sample of Canadian youth.MethodsUsing cross-sectional data from 46,957 grade 9 to 12 students participating in year 5 of the COMPASS host study (2016–2017), four gender-stratified ordinal logistic regression models were used to examine how total STSB and four different types of STSBs (watching/streaming TV shows/movies, playing video games, Internet use, emailing/messaging/texting) are associated with frequency of cannabis use.ResultsOne-quarter of participants (24.9%) reported using cannabis in past 12 months; the largest proportion of this group (37.9%) reported rare/sporadic use. Overall, participants spent an average 7.45 ( ±5.26) hours/day on STSBs. Total STSB was positively associated with more frequent cannabis use, and when separated by type, internet use and messaging were significant. Playing video games and watching TV/movies were also significantly associated with more frequent cannabis use, but only for females.ConclusionsThe associations between frequency of cannabis use and various measures of STSBs suggest that screen time may be a risk factor for cannabis use among youth. This association may be mediated by youths’ mental wellbeing, given emerging evidence that STSB is a risk factor for poor mental health, and the tendency for individuals to use substances as a coping mechanism. Further, the ubiquity of pro-substance use content on the internet may also contribute to increased exposure to and normalization of cannabis, further promoting its use.

Parenting styles moderate how parent and adolescent beliefs shape each other's eating and physical activity: Dyadic evidence from a cross-sectional, U.S. National Survey

Psychological theories of health behavior focus on intrapersonal influences on behavior. Greater attention to interpersonal effects and the relational contexts that regulate them has the potential to improve theory, and offer innovative strategies for intervention. This research takes a dyadic approach to understanding how parent and adolescent beliefs influence each other's health behaviors, and how the relationship context of parent-adolescent dyads moderates these effects. Using the Family Life, Activity, Sun, Health, and Eating study (FLASHE), we analyze responses from 1717 parent-adolescent dyads from across the U.S., and explore a dyadic extension to the Theory of Planned Behavior (TPB). We evaluate how parenting styles that characterize each parent-adolescent dyad moderate the degree to which parents' and adolescents' own attitudes, subjective norms, and perceived behavioral control are associated with the other person's behaviors across four domains: fruit and vegetable consumption, junk food and sugary drinks consumption, engagement in physical activity, and engagement in screen time sedentary behaviors. We find that the association between parents' attitudes, social norms, and perceived behavioral control and their adolescent's eating behavior tends to be stronger when parents have an authoritative parenting style. However, we also find that the association between adolescents' attitudes, social norms, and perceived behavioral control and their parent's eating behavior tends to be stronger when parents have an authoritative parenting style. These findings show the importance of context in evaluating interpersonal influence, and hold implications for health-relevant interventions.

Urban-Rural Differences in Aerobic Physical Activity, Muscle Strengthening Exercise, and Screen-Time Sedentary Behavior.

Compared to their urban counterparts, US residents in rural settings face an increased risk of premature mortality and health problems that have been linked to insufficient physical activity (PA) levels. There is limited literature regarding urban-rural differences in adherence to national guidelines for all 3 PA-related behaviors. We investigated urban-rural differences in aerobic PA, leisure-time muscle strengthening PA, and leisure screen-time sedentary behavior in a combined data set of the 2011-2014 waves (N=14,188) of the nationally representative National Cancer Institute's Health Information National Trends Survey. We found no evidence of a difference between large urban and rural residents' aerobic PA levels. The typical number of weekly bouts of leisure-time muscle strengthening PA was 25% lower for rural residents (incidence rate ratio [IRR]=0.751, P < .001); this relationship was no longer statistically significant after controlling for potentially confounding covariates. In adjusted models, we found rural residents to engage in 6.6% less daily leisure screen-time sedentary behavior than their large urban counterparts (IRR=0.934, P=.031). Taken together with previous literature, these results suggest that rural residents may engage in comparable levels of total PA, but less leisure-time PA, than their urban counterparts.

Sedentary Behavior and Health-Related Quality of Life across Meeting Physical Activity Guidelines

Sedentary behavior may not differ between individuals meeting and not meeting physical activity guidelines (PAGs); however, sedentary behavior has been associated with lower levels of health-related quality of life (HRQoL). The purpose of this study was to investigate the influence of sedentary behavior on HRQoL across young adults in three physical activity engagement groups (i.e., did not meet aerobic or muscle-strengthening PAGs; met either aerobic PAGs or muscle-strengthening PAGs; and met both aerobic and muscle-strengthening PAGs) using moderation analyses. Participants were 427 young adults (<i>M</i><SUB>age</SUB> = 19.15 ± 0.77) from Southwestern U.S. public university. Participants completed an online survey assessing sedentary behavior, physical activity profile, and HRQOL. On average, participants who did not meet aerobic or muscle-strengthening PAGs reported the lowest physical and psychosocial HRQoL and highest screen-time sedentary behavior, while participants who met both aerobic and muscle-strengthening PAGs reported the highest physical and psychosocial HRQoL and lowest screen-time sedentary behavior. Moderation analyses indicated meeting both aerobic and muscle-strengthening PAGs significantly buffered the negative influence of screen-time sedentary behavior on physical HRQoL. Meanwhile, meeting only one of the PAGs (i.e., aerobic or muscle-strengthening) did not significantly buffer the negative influence of screen-time sedentary behavior on physical HRQoL. Considering the current trends of sedentary behavior, the current study provided support in promoting regularly engaging in both aerobic and muscle-strengthening activity. Moreover, it provided evidence supporting the position that interventions designed to improve HRQoL should include both aerobic and muscle-strengthening activity.

Withdrawn Behavior, Leisure-Time Exercise Behavior, and Screen-Time Sedentary Behavior in a Clinical Sample of Youth

Few studies have explored the relation between withdrawn behavior (WB) and exercise and screen time. The current study used exploratory factor analysis to examine the factor structure of leisure-time exercise behavior (LTEB) and screentime sedentary behavior (STSB) in a clinical sample of youth. Structural equation modeling was employed to investigate the relations between WB and LTEB and STSB, conditional on gender. WB was assessed using the Child Behavior Checklist, and LTEB and STSB were measured using the Vermont Health Behavior Questionnaire. LTEB and STSB emerged as two separate factors. Gender moderated the structure of STSB only. For boys and girls, WB was inversely related to LTEB but not significantly related to STSB. LTEB and STSB are best represented as distinct, uncorrelated constructs. In addition, withdrawn youth may be at risk for poor health outcomes due to lower rates of LTEB. Mental health clinicians, sports psychologists, and related providers may be uniquely qualified to enhance motivation for sports participation in withdrawn youth.

Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score.

BackgroundCurrent evidence on associations of type-specific sedentary behavior with cardiovascular disease (CVD) is limited to mainly screen-time sedentary behavior (SB). We aimed to study the associations of type-specific and total time spent sitting with the Framingham 10-year cardiovascular disease risk score (Framingham score) in Finnish adults.MethodsData comprise the National FINRISK 2007 and 2012 health examination surveys with 10,185 participants aged 25–74 years, apparently free of CVD. Participants reported average daily time spent sitting in different locations: work-related sitting, at home in front of television (TV), at home in front of computer, in a vehicle, and elsewhere. Total SB time was calculated from these context-specific self-reports. Accelerometer-based sedentary time was assessed in 988 FINRISK 2012 participants. Framingham score was calculated using information on blood pressure and its medication, cholesterol levels, age, diabetes status, and smoking. Analyses were adjusted for age, study year, education, employment status, leisure time physical activity, and body mass index.ResultsOut of several type-specific sitting behaviors, only TV sitting showed systematic associations with the Framingham score in both genders. The lowest Framingham risk was found for TV sitting from 6 minutes to less than 1 hour daily. Of other types of sitting, computer sitting was inversely associated with the Framingham risk in men only. Total self-reported sitting time did not show significant associations with the Framingham score, but instead higher objectively assessed sedentary time showed higher Framingham risk in men.ConclusionsTV sitting showed most systematic associations with CVD risk score. This suggests that of all types of SB, reducing TV sitting should be targeted for reducing CVD risk.

Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study.

BackgroundUnderstanding changes in dietary intake during puberty could aid the mapping of dietary interventions for primary prevention. The present study describes dietary changes from childhood to adolescence, and their associations with parental education, family income, child education, body mass index (BMI), pubertal onset and screen-time sedentary behaviour.MethodsDietary data (n = 1232) were obtained from food frequency questionnaires at the 10- and 15-year follow-ups of the GINIplus birth cohort study. Intakes of 17 food groups, macronutrients and antioxidant vitamins, were described by a) paired Wilcoxon rank sum tests, comparing average intakes at each time-point, and b) Cohen’s kappa “tracking” coefficients, measuring stability of intakes (maintenance of relative tertile positions across time). Further, associations of changes (tertile position increase or decrease vs. tracking) with parental education, family income, child education, pubertal onset, BMI, and screen-time, were assessed by logistic regression and multinomial logistic regression models stratified by baseline intake tertile.ResultsBoth sexes increased average intakes of water and decreased starchy vegetables, margarine and dairy. Females decreased meat and retinol intakes and increased vegetables, grains, oils and tea. Males decreased fruit and carbohydrates and increased average intakes of meat, caloric drinks, water, protein, fat, polyunsaturated fatty acids (PUFAs), vitamin C and alpha-tocopherol. Both sexes presented mainly “fair” tracking levels [κw = 0.21–0.40]. Females with high (vs. low) parental education were more likely to increase their nut intake [OR = 3.8; 95 % CI = (1.7;8.8)], and less likely to decrease vitamin C intakes [0.2 (0.1;0.5)], while males were less likely to increase egg consumption [0.2 (0.1;0.5)] and n3 PUFAs [0.2 (0.1;0.5)]. Females with a higher (vs. low) family income were more likely to maintain medium wholegrain intakes [0.2 (0.1;0.7) for decrease vs. tracking, and 0.1 (0.0;0.5) for increase vs. tracking], and were less likely to decrease vitamin C intakes [0.2 (0.1;0.6)]. Males with high education were less likely to increase sugar-sweetened foods [0.1 (0.1;0.4)]. Finally, BMI in females was negatively associated with decreasing protein intakes [0.7 (0.6;0.9)]. In males BMI was positively associated with increasing margarine [1.4 (1.1;1.6)] and vitamin C intakes [1.4 (1.1;1.6)], and negatively associated with increasing n3 PUFA.ConclusionsAverage dietary intakes changed significantly, despite fair tracking levels, suggesting the presence of trends in dietary behaviour during puberty. Family income and parental education predominantly influenced intake changes. Our results support the rationale for dietary interventions targeting children, and suggest that sex-specific subpopulations, e.g. low socio-economic status, should be considered for added impact.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2189-0) contains supplementary material, which is available to authorized users.

Relationship between perceived discrimination and sedentary behavior in adults.

To identify psychosocial factors associated with sedentary behavior, we tested whether perceived discrimination is associated with sedentary behavior. Black and white men and women (N = 3270) from the Coronary Artery Risk Development in Young Adults (CARDIA) Study reported experiences of discrimination and time engaged in total and screen time sedentary behaviors in 2010-11. There were no associations of discriminatory experiences with total sedentary behavior time. However, discriminatory experiences were positively associated with screen time for black men (OR 1.81, 95% CI: 1.14, 2.86) and white women (OR 1.51, 95% CI: 1.14, 2.00) after adjusting for demographic and traditional cardiovascular disease risk factors. Among black men and white women, discriminatory experiences were correlated with more screen time sedentary behavior.

Activity preferences and demographic factors associated with screen time sedentary behaviour among grade 1 to 4 students: A pilot study among Canadian children

Sedentary behavior is a modificable risk factor contributing to childhood overweight and obesity. The current study seeks to explore if a) significant between-school random variation and b) activity preferences and demographic characteristics are associated with spending >2 hours/day in screen-based sedentary behavior (SSB) among young children. Data were collected from 2331 grade 1 to 4 elementary school students from Ontario, Canada as part of the PLAY-ON study. Parents reported student's physical activity and SSB, as well as their perceptions of their child's physical activity preferences. Demographic data (age, sex, BMI) were collected by a registered nurse. Students also reported their activity preferences. There was no significant between-school random variation in the odds of a student engaging

A multi-level examination of school programs, policies and resources associated with physical activity among elementary school youth in the PLAY-ON study.

BackgroundGiven the decline in physical activity (PA) levels among youth populations it is vital to understand the factors that are associated with PA in order to inform the development of new prevention programs. Many studies have examined individual characteristics associated with PA among youth yet few have studied the relationship between the school environment and PA despite knowing that there is variability in student PA levels across schools.MethodsUsing multi-level logistic regression analyses we explored the school- and student-level characteristics associated with PA using data from 2,379 grade 5 to 8 students attending 30 elementary schools in Ontario, Canada as part of the PLAY-Ontario study.ResultsFindings indicate that there was significant between-school random variation for being moderately and highly active; school-level differences accounted for 4.8% of the variability in the odds of being moderately active and 7.3% of the variability in the odds of being highly active. Students were more likely to be moderately active if they attended a school that used PA as a reward and not as discipline, and students were more likely to be highly active if they attended a school with established community partnerships. Important student characteristics included screen time sedentary behaviour, participating in team sports, and having active friends.ConclusionFuture research should evaluate if the optimal population level impact for school-based PA promotion programming might be achieved most economically if intervention selectively targeted the schools that are putting students at the greatest risk for inactivity.

A Multi-Level Examination of the Association Between Older Social Models in the School Environment and Overweight and Obesity Among Younger Students

Few studies have examined how school characteristics are associated with obesity. The purpose of this study was to examine the student- and school-level characteristics associated with being overweight and obese among 12,049 students in grades 9 and 10 (junior students) attending 76 secondary schools in Ontario, Canada. The sample was 49.2% female and the average age was 14.7years. Overall, 15.0% of the sample was considered overweight and 6.3% of the sample was considered obese. Multi-level regression analysis revealed significant between-school random variation for the likelihood of a junior student (grade 9 or 10) being overweight or obese. For each 1% increase in the prevalence of obese senior students (grade 11 and 12) at a school, the odds of a junior student at that school being overweight or obese increased significantly. Important student-level characteristics included physical activity, screen time sedentary behaviour (e.g., watching television), participation in varsity sports and gender. Future research should evaluate if the optimal population level impact for school-based obesity prevention programming might be achieved by targeting the schools that are putting students at the greatest risk.