Television Screen Time Research Articles

Sedentary time transitions and associations with quality of life in cancer survivors during the COVID-19 pandemic

Background Patterns in sedentary time (SED) and its impact on quality of life (QoL) in cancer survivors during the COVID-19 pandemic remains unknown. The purpose of this study was to 1) compare total and domain-specific SED before and during the pandemic; and 2) examine its association with QoL in a global sample of cancer survivors. Methods In an online survey, cancer survivors retrospectively self-reported domain-specific SED (e.g. transportation, television) before and during the pandemic via the Domain-Specific Sitting Time Questionnaire. QoL was assessed via the Functional Assessment of Cancer Therapy (FACT)-General and FACT-Fatigue. Paired t-tests compared daily SED before and during the pandemic. Analysis of covariance compared QoL among: those who remained high (>8 h/day), remained low (<8 h/day), increased (<8 h/day to >8 h/day), or decreased (>8 h/day to <8 h/day) daily SED. Results Among cancer survivors (N = 477, Mage=48.5 ± 15.4), 60.8% reported that their SED remained high, 19.7% remained low, 7.5% increased SED, and 11.9% decreased SED. Computer and television screen time significantly increased (p’s<.001), while SED during transportation significantly decreased (p<.001). Sub-group analyses revealed that those who reduced SED who were normal or underweight (p=.042) or were meeting physical activity guidelines (p=.031) had significantly less fatigue than those who increased or remained high in SED, respectively. Those who remained high in SED with <3 comorbidities (p’s =.005) had significantly better social well-being than those who increased SED. Conclusions As we transition to a post-pandemic era, behavioral strategies for cancer survivors should focus on reducing screen time to improve QoL and fatigue.

Screen time, obesity and cardiovascular disease among elderly Brazilians: 2013 and 2019 National Health Surveys

The scope of this paper was to analyze the association between the time spent watching television (TV) and the presence of obsessive-compulsive disorder (OCD) obesity and obesity associated with cardiovascular diseases (CVD) among elderly Brazilians, according to gender, comparing data from the 2013 and 2019 National Health Surveys (NHS). It involved a cross-sectional study, with data from 23,815 and 43,554 elderly people, respectively, from the 2013 and 2019 NHS. Self-reported TV screen time was categorized into: <3, 3-6, and ≥6 per day. Obesity was assessed by body mass index ≥27 kg/m² and CVD by self-reported medical diagnosis. In 2013, elderly women who watched TV ≥6 hours/day were more likely to have OCD obesity (OR=1.87; 95%CI=1.32;2.64) and obesity associated with CVD (OR=6.30; 95%CI=3.38;11.74). In 2019, elderly women who watched TV between 3-6 hours/day (OR=1.44; 95%CI=1.25;1.65) and ≥6 hours/day (OR=1.55; 95%CI=1.28;1.88) were more likely to have OCD obesity, while the incidence of obesity associated with CVD was higher for ≥6 hours/day (OR=2.13; 95%CI=1.48;3.06). In 2019, men were more likely to have obesity associated with CVD watching TV between 3-6 hours/day (OR=1.76; 95%CI=1.20;2.56) and ≥6 hours/day (OR=2.13; 95%CI=1.27;3.57). The importance of reducing screen time by the elderly is clearly evident.

Relation of Anxiety, Depression, and Behavioral Problems With Time Allocated to Television, Computer, and Smartphone in Children Receiving Renal Replacement Therapy.

Children and adolescents with chronic diseases have more screen exposure time compared with their healthy peers. In this study, we investigated screen exposure time of children who received renal replacement therapy, which included kidney transplant and dialysis treatment, versus a healthy control group. Our study included 55 children and adolescents between the ages of 8 and 18 years. Although 28 participants did not have any chronic disease, 27 had chronic diseases and received renal replacement therapy. Among these patients, 17 had kidney transplant and 10 were receiving dialysis. A sociodemographic information form and the Conners Short-Form Parent Rating Scale were given to parents. Pediatric and adolescent patients completed the Children's Depression Inventory and Spielberger State-Trait Anxiety Scale-2. We analyzed differences between the groups with and without renal replacement therapy and examined relations between continuous variables. Duration of television screen time was significantly higher in children and adolescents receiving renal replacement therapy. Patients in the renal replacement therapy group showed a positive correlation between the Conners Short-Form Parent Rating Scale anxiety subscores and duration of smartphone use. In the kidney transplant recipient group, smartphone and computer durations were positively correlated and television duration was negatively correlated with the Conners Short-Form Parent Rating Scale behavioral problems subscores. Children on renal replacement therapy may be at risk in terms of excessive television exposure. Children who are on dialysis and have had a kidney transplant may be more prone to the negative effects of screen exposure than healthy peers who do not have chronic illnesses. These children and adolescents should be closely monitored to avoid the negative effects of excessive screen exposure.

Lower-Income Predicts Increased Smartphone Use and Problematic Behaviors Among Schoolchildren During COVID-19 Related School Modification: A Longitudinal Study.

BackgroundAs the coronavirus disease 2019 (COVID-19) has continued for a couple of years, the long-term effects of the pandemic and the subsequent school curriculum modification on the mental health of children and parents need to be investigated. To clarify the changes that can occur during one school year and to predict the risk factors for vulnerable groups, this study identified parameters relative to children’s screen time, their problematic behavior, and parental depression.MethodsA total of 186 participants were analyzed who were parents of elementary schoolchildren in South Korea. These parents were required to complete a web-based questionnaire twice. The questionnaires were conducted in June 2020 and September 2021. Participants’ general demographics including family income, children’s screen time, sleep patterns, problematic behavior, and parental depression were assessed via the parental questionnaire that included various measurement tools.ResultsChildren’s body mass index (BMI) increased significantly in 2021 (18.94 ± 3.75 vs. 18.14 ± 3.30, P < 0.001). Smartphone frequency of use per week (5.35 vs. 4.54, P < 0.001) and screen time per day (3.52 vs. 3.16, P < 0.001) significantly increased during the period of the COVID-19 pandemic. The television screen time (2.88 vs. 3.26, P < 0.001), frequency of viewing (3.77 vs. 4.77, P < 0.001), and children’s problematic behaviors significantly decreased (9.15 vs. 11.85, P < 0.001). A lower income household was a key predictor of increased smartphone frequency (B = 1.840, 95% confidence interval [CI], 0.923–2.757, P < 0.001) and smartphone screen time (B = 1.992, 95% CI, 1.458–2.525, P < 0.001). The results showed that the lower income household (B = 5.624, 95% CI, 2.927–8.320, P < 0.001) and a child’s psychiatric treatment history (B = 7.579, 95% CI, 5.666–9.492, P < 0.001) was the most significant predictor of problematic behaviors of children and parental depression (B = 3.476, 95% CI, 1.628–5.325, P < 0.001; B = 3.138, 95% CI, 1.827–4.450, P < 0.001).ConclusionThis study suggested that children’s smartphone screen time and BMI increased during COVID-19 because of the school curriculum modification following school closures in South Korea. The increased children’s problematic behaviors and parental depression were predicted by lower-income households and the previous psychiatric history of children. These results indicate that multiple social support systems to the vulnerable group are needed during the ongoing pandemic and that a modified school setting is required.

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.

Screen Time is Related to Dietary Intake in Children at 24-Months-of-Age

Abstract Objectives Screen time throughout childhood is positively related to anthropometric measures, mediated partially through its impact on diet quality. Existing literature lacks specific data for 24 months (24MN) children and focuses primarily on television screen time rather than all sources of screen time (smart phones, tablets, and video streaming services). Thus, we explored the relationship between screen device usage and diet quality at this early age. Methods Parents and 24MN children (N = 396) were recruited from the STRONGKids 2 cohort study. Data included parent and child anthropometric measurements, physical activity time (Sports, Play, and Active Recreation for Kids Survey), dietary intake (Block Food Frequency Questionnaires), and the types and duration of screen time usage by the child (Common Sense Media Survey). Calories from macronutrients, sweets, added sugar, dietary fiber, and fruit and vegetable consumption were used to assess diet quality. Results 26% of children exceeded the Academy of Pediatrics Guidelines of &amp;lt;2 h screen time per day. TV, DVDs, and shows on cellphones accounted for 79% of child screen time. 26% of children were overweight or obese, although BMI z-score at 24 MN was not related to screen time, physical activity time, or diet factors. Parent and child diet quality were related.; However, independent of parent diet, education, ethnicity, gender, and BMI, total screen time were associated with kcal consumed through sweets (r = 0.147, P = 0.014), added sugar intake in grams (r = 0.137, P = 0.023), and fruit consumption (r = −0.235, P &amp;lt; 0.001). Passive screen use (TV, DVDs, shows on a cell phone or computer) was associated with total kcals (r = 0.127, P = 0.036), kcals from sweets (r = 0.137, P = 0.023) and added sugar intake (r = 0.138, P = 0.022), and fruit (r = −0.260, P &amp;lt; 0.001) and vegetable consumption (r = −0.119, P = 0.049). Active screen use (playing games on a console, computer, cell phone, or other handheld device) was related to % fat intake (r = −0.119, P = 0.048). Conclusions Total and passive screen time at 24 MN are associated with factors indicative of poor diet quality, which could negatively impact child health. Funding Sources Supported by the NIH and the National Dairy Council. Arden McMath was supported by a United States Department of Agriculture (USDA) fellowship.

Abstract 261: Gender-Specific Differences in Behavioral and Physiological Risk Factors Associated with Childhood Obesity

Background: Prior research has shown differences in physiologic and behavioral measurements of adolescent boys and girls. This study sought to determine if similar gender-specific differences exist between participants of the Project Healthy Schools (PHS) school-based wellness program, both at baseline and post-PHS intervention. Methods: Demographics, physiological measures and health behaviors were compared between 6 th grade girls and boys enrolled in PHS between 2004-2017 at baseline and post-PHS intervention. Results: Health behavior data were collected in 19,995 students (46.1% girls); physiological measures were collected in 2,922 students (52.7% girls). Boys within the physiological sample were older than girls (11.62 v. 11.55, p&lt;0.001). At baseline, girls had lower HDL cholesterol and higher resting and recovery heart rates, but reported greater consumption of fruits and vegetables and less sugary beverages and fried meats than boys. Boys reported more vigorous exercise but greater hours of television and video game screen time than girls. Post-intervention, girls showed greater improvement in resting heart rate, fruit consumption and video game time. Conclusion: Girls had better health behaviors but poorer physiological markers at baseline. Lower rates of physical activity in girls at baseline highlight a potential area of focus for the PHS intervention in this population. Future exploration of gender-specific targeted strategies to improve health behaviors is warranted.

Children’s social communication skills and electronic screen exposure, perinatal, and other risk factors

To explore if exposure to electronic screen media (ESM) can increase the risk of poor social communication skills in children. Using the stratified, random cluster sampling method, 81,282 children aged 3–12 years from seven districts in Shanghai were investigated in 2014. The children’s social communication skills were measured by the social communication questionnaire (SCQ). More television viewing time every day was positively associated with the positive SCQ group (p ≤ 0.001). There was a dose–effect relationship between television screen time and its associated odds ratios (ORs). However, weekly time spent online or playing games for 3 h or less was negatively associated with the positive SCQ group (p < 0.05) by a multivariable logistic regression model. Other child and family characteristics were also found to impact SCQ performance. Significant associations of child and family characteristics with poor SCQ status were revealed in the Chinese children, which may be crucial for early intervention. To assess effects on children’s social development, screen time and multiple patterns of screen use should be considered for future guidelines and policies.

Screen time usage among preschoolers aged 2-6 in rural Western India: A cross-sectional study.

Aims:We have evaluated screen time usage among preschool-aged (≤6 years) children in rural Western India. In addition, we have evaluated various lifestyle factors and their impact on the screen time of these children.Materials and Methods:English-medium schools in the locality were chosen based on convenience. A self-report survey requesting family information and screen usage information was distributed to the parents. Daily screen time was categorized as a three-category variable. Ordered logistic regression with multivariable regression was performed to examine the association of risk factors with screen time.Results:Average screen time among the 379 (208 males, 171 female) children amounted to 2.7 hours (SD: 1.7), with average daily television screen time of 1.6 hours (SD: 1.1). Most children (87.2%) started screen use by the age of 3. Only 65 (17.2%) participants met AAP recommendation. Households with three devices and smartphone usage by mothers increased the odds of screen time by 60% and two-folds, respectively. Compared to weekdays, children had increased screen time exposure (3.5 vs 2.7 hours, P < 0.001), outdoor activity time (2.3 vs 1.6, P < 0.001), and reading hours (1.2 vs 1.1, P = 0.03) on weekends. No association was observed between screen time and mother's occupation.Conclusions:More than 80% of children exceeded the advised screen time with television and smartphone being the major contributors. This issue has to be dealt with at both individual and societal levels. Increased awareness about the high prevalence of inappropriate use of screen time use within the Indian context is needed to inspire attention and interventions for this emerging public health problem in India.

Sleep duration, timing, variability and measures of adiposity among 8- to 12-year-old children with obesity.

SummaryObjectivesSleep disruption in laboratory studies increases adiposity and decreases glucose tolerance. However, few epidemiological studies have used objective measures of sleep. This study aims to assess associations between sleep duration, timing and regularity with measures of adiposity.MethodsThis is a cross‐sectional study of 188 children with obesity (age: 10.50 ± 1.39 years; body mass index: 29.24 ± 5.04 kg m−2). Nightly sleep duration, bedtime and wake time were measured by multiple‐day actigraphy and parent reports. Per cent overweight (per cent over median body mass index for age and sex) was chosen as the primary measure of obesity status. Objective measures of height, weight, waist circumference, blood pressure, fasting blood lipids, glucose, insulin, glycated haemoglobin and C‐reactive protein were obtained. Television screen time and total caloric intake were assessed via parent questionnaire.ResultsEach hour later in weekday bedtime was associated with an additional 6.17 per cent overweight (95% confidence interval [CI]: 1.42–10.92). Each hour greater in day‐to‐day variability in weekday bedtime and weekday wake time was associated with an additional 10.20 (95% CI: 0.50–19.91) and 10.02 (95% CI: 1.55–18.50) per cent overweight, respectively. Associations were similar after controlling for other obesity‐related behaviours (television screen time, total caloric intake and physical activity.)ConclusionsAmong children with obesity, later bedtime and greater variability in bedtime and wake time are associated with greater adiposity, independent of other obesity‐related behaviours. Early bedtime and wake time and consistent day‐to‐day sleep timing may be strategies to reduce adiposity in high‐risk children.

Parenting style and family type, but not child temperament, are associated with television viewing time in children at two years of age.

ObjectivesDespite the American Academy of Pediatrics (AAP) recommending that electronic media be avoided in children under two years of age, screen use is common in infants and toddlers. The aims of this study were to determine how parenting style, infant temperament, and family type are associated with television viewing in two-year-old children.Study designParticipants were from the Prevention of Overweight in Infancy (POI) randomized controlled trial (n = 802) (Dunedin, New Zealand). Demographic information was collected at baseline (late pregnancy), and television and other screen time assessed by questionnaire at 24 months of age. Parenting style (Parenting Practices Questionnaire), infant temperament (Colorado Childhood Temperament Inventory), and family type (7 categories) were reported by both parents.ResultsData were available for 487 participants (61% of the original participants). Median television viewing was relatively low at 21 minutes per day, or 30 minutes in those watching television (82%). Children who watched television played with mobile phones (12% of children) or iPads/tablets (22% of children) more frequently than children who did not (6% of children). In terms of parenting style, children of more authoritarian mothers (β = 17, 95% CI: 6–27 minutes), more authoritarian partners (β = 14, 95% CI: 2–26 minutes), or more permissive mothers (β = 10, 95% CI: 3–17 minutes) watched significantly more television. No significant relationships were observed between child temperament and time watching television after adjustment for confounding variables. Children from “active” families (as rated by partners) watched 29 minutes less television each day (P = 0.002).ConclusionsParenting style and family type were associated with television viewing time in young children, whereas child temperament was not.

Investigating the influence of eating habits, body weight and television programme preferences on television viewing time and domestic computer usage.

The present study explored the influence of eating habits, body weight and television programme preference on television viewing time and domestic computer usage, after adjusting for sociodemographic characteristics and home media environment indicators. In addition, potential substitution or complementarity in screen time was investigated. Individual level data were collected via questionnaires that were administered to a random sample of 2,946 Germans. The econometric analysis employed a seemingly unrelated bivariate ordered probit model to conjointly estimate television viewing time and time engaged in domestic computer usage. Television viewing and domestic computer usage represent two independent behaviours in both genders and across all age groups. Dietary habits have a significant impact on television watching with less healthy food choices associated with increasing television viewing time. Body weight is found to be positively correlated with television screen time in both men and women, and overweight individuals have a higher propensity for heavy television viewing. Similar results were obtained for age groups where an increasing body mass index (BMI) in adults over 24 years old is more likely to be positively associated with a higher duration of television watching. With respect to dietary habits of domestic computer users, participants aged over 24 years of both genders seem to adopt more healthy dietary patterns. A downward trend in the BMI of domestic computer users was observed in women and adults aged 25-60 years. On the contrary, young domestic computer users 18-24 years old have a higher body weight than non-users. Television programme preferences also affect television screen time with clear differences to be observed between genders and across different age groups. In order to reduce total screen time, health interventions should target different types of screen viewing audiences separately.

Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle

ObjectiveTo estimate the prevalence of abdominal obesity and verify the association with sociodemographic factors (gender, school shift, ethnicity, age, maternal education and economic status) and lifestyle (alcohol consumption, sleep, soft drink consumption, level of physical activity and sedentary behavior) in adolescents in Southern Brazil. MethodsThis was a cross-sectional epidemiological study of 930 adolescents (490 girls) aged 14–19 years, living in the city of São José, SC, Brazil. A self-administered questionnaire was used to collect sociodemographic and lifestyle data. Abdominal obesity was measured through the waist circumference and analyzed according to gender and age. Descriptive statistics (absolute and relative frequency, mean and standard deviation) and binary logistic regression, expressed as Odds Ratios (OR) and 95% confidence interval (95%CI) were employed, with p<0.05 being considered statistically significant; the SPSS 17.0 software was used for the statistical analyses. ResultsThe prevalence of abdominal obesity was 10.6% for the total sample (10.5% male, 10.8% female). Adolescents that watched television daily for two or more hours (OR=2.11, 95%CI 1.08–4.13) had a higher chance of having abdominal obesity and adolescents whose mothers had fewer than eight years of schooling (OR=0.56; 95%CI from 0.35 to 0.91) had a lower chance of having abdominal obesity. ConclusionsApproximately one in 10 adolescents had abdominal obesity; the associated factors were maternal schooling (≥8 years) and television screen time (≥2h/day).

A systematic review and meta-analysis of screen time behaviour among North American indigenous populations.

Screen time (computer, television, video game and smartphone/tablet activity) is associated with increased obesity and other health risks. This systematic review evaluates screen time among North American Indigenous populations and compares it with that of North American Europeans. Electronic databases (e.g. MEDLINE and EMBASE) were searched, and citations cross-referenced. Included articles reported screen time among First Nations/American Indians, Métis, Inuit/Alaskan Natives or Native Hawaiians. From 788 citations evaluated, 40 identified articles report television, video game, computer and/or overall screen time. Overall screen time was 3.65 ± 1.26 h day(-1) (n = 2,242, 8 articles) among Indigenous children/youth and 3.61 ± 2.95 h day(-1) (n = 155, 1 article) among adults. Among children/youth, 66.0% (n = 11 256, 9 articles) reported less than 2 h day(-1) of television screen time, while only 52.8% (n = 2,458, 1 article) of adults reported this volume. Screen time was generally greater among male population, youth, First Nations/American Indians and overweight/obese individuals. Indigenous children/youth reported greater overall screen time than North American Europeans (4.81 ± 2.84 h day(-1) , n = 1,182 vs. 3.40 ± 2.81 h day(-1) , n = 2,785; 3 articles; p < 0.0001). Screen time is common among North American Indigenous populations. Further research evaluating interventions to reduce screen time and chronic disease risks is required.

Prevalência de obesidade abdominal em adolescentes: associação entre fatores sociodemográficos e estilo de vida

ObjectiveTo estimate the prevalence of abdominal obesity and verify the association with sociodemographic factors (gender, school shift, ethnicity, age, maternal education and economic status) and lifestyle (alcohol consumption, sleep, soft drink consumption, level of physical activity and sedentary behavior) in adolescents in Southern Brazil. MethodsThis was a cross‐sectional epidemiological study of 930 adolescents (490 girls) aged 14 to 19 years, living in the city of São José, SC, Brazil. A self‐administered questionnaire was used to collect sociodemographic and lifestyle data. Abdominal obesity was measured through the waist circumference and analyzed according to gender and age. Descriptive statistics (absolute and relative frequency, mean and standard deviation) and binary logistic regression, expressed as odds ratios (OR) and 95% confidence interval (95%CI) were employed, with p<0.05 being considered statistically significant; the SPSS 17.0 software was used for the statistical analyses. ResultsThe prevalence of abdominal obesity was 10.6% for the total sample (10.5% male, 10.8% female). Adolescents that watched television daily for two or more hours (OR=2.11, 95%CI 1.08 to 4.13) had a higher chance of having abdominal obesity and adolescents whose mothers had fewer than eight years of schooling (OR=0.56; 95%CI from 0.35 to 0.91) had a lower chance of having abdominal obesity. ConclusionsApproximately one in 10 adolescents had abdominal obesity; the associated factors were maternal schooling (≥8 years) and television screen time (≥2hours/day).

Impact of Physical Inactivity on Mortality in Patients With Heart Failure

The impact of physical inactivity on heart failure (HF) mortality is unclear. We analyzed data from the HF Adherence and Retention Trial (HART) which enrolled 902 patients with New York Heart Association class II/III HF, with preserved or reduced ejection fraction, who were followed for 36 months. On the basis of mean self-reported weekly exercise duration, patients were classified into inactive (0 min/week) and active (≥1 min/week) groups and then propensity score matched according to 34 baseline covariates in 1:2 ratio. Sedentary activity was determined according to self-reported daily television screen time (<2, 2 to 4, >4 h/day). The primary outcome was all-cause death. Secondary outcomes were cardiac death and HF hospitalization. There were 196 inactive patients, of whom 171 were propensity matched to 342 active patients. Physical inactivity was associated with greater risk of all-cause death (hazard ratio [HR] 2.01, confidence interval [CI] 1.47 to 3.00; p <0.001) and cardiac death (HR 2.01, CI 1.28 to 3.17; p = 0.002) but no significant difference in HF hospitalization (p = 0.548). Modest exercise (1 to 89 min/week) was associated with a significant reduction in the rate of death (p = 0.003) and cardiac death (p = 0.050). Independent of exercise duration and baseline covariates, television screen time (>4 vs <2 h/day) was associated with all-cause death (HR 1.65, CI 1.10 to 2.48; p = 0.016; incremental chi-square = 6.05; p = 0.049). In conclusion, in patients with symptomatic chronic HF, physical inactivity is associated with higher all-cause and cardiac mortality. Failure to exercise and television screen time are additive in their effects on mortality. Even modest exercise was associated with survival benefit.

Neighbourhood urban form and individual-level correlates of leisure-based screen time in Canadian adults

ObjectivesDespite evidence for an association between the built environment and physical activity, less evidence exists regarding relations between the built environment and sedentary behaviour. This study investigated the extent to...

Family structure as a predictor of screen time among youth.

The family plays a central role in the development of health-related behaviors among youth. The objective of this study was to determine whether non-traditional parental structure and shared custody arrangements predict how much time youth spend watching television, using a computer recreationally, and playing video games. Participants were a nationally representative sample of Canadian youth (N = 26,068) in grades 6–10 who participated in the 2009/10 Health Behaviour in School-aged Children Survey. Screen time in youth from single parent and reconstituted families, with or without regular visitation with their non-residential parent, was compared to that of youth from traditional dual-parent families. Multiple imputation was used to account for missing data. After multiple imputation, the relative odds of being in the highest television, computer use, video game, and total screen time quartiles were not different in boys and girls from non-traditional families by comparison to boys and girls from traditional dual-parent families. In conclusion, parental structure and child custody arrangements did not have a meaningful impact on screen time among youth.

Physical inactivity and television-viewing time among Aboriginal adults with asthma: a cross-sectional analysis of the Aboriginal Peoples Survey.

The purpose of this analysis was to (1) determine the association between asthma and physical activity levels or sedentary time among Aboriginal adults, and (2) understand the influence of physical inactivity and sedentary time on health care use among Aboriginal adults with asthma. We analyzed 20 953 adults from the 2006 Aboriginal Peoples Survey. Those with self-reported physician-diagnosed asthma and a current prescription for asthma medication were considered to have current asthma. Insufficient physical activity was defined as < 3 hours/week of moderate to vigorous physical activity; high television screen time was defined as > 10 hours/week. Health care use was assessed using the number of health professional visits and overnight hospital stays. Aboriginal adults with asthma were more likely to report high television-viewing time (OR = 1.16; CI: 1.11-1.22) and insufficient physical activity (OR = 1.15; CI: 1.10-1.20) than those without asthma. Those with asthma who reported high television-viewing time reported more health professional consults in the past 12 months (OR = 2.59; CI: 2.34-2.87), more overnight stays in hospital in the past year (OR = 1.95; CI: 1.82-2.08) and more overnight stays in the hospital in the past 5 years (OR = 1.13; CI: 1.07-1.18); results were less consistent for physical activity and health care use. These findings suggest that Aboriginal adults with asthma are less active than their peers without asthma and that such a lifestyle may be associated with higher health care use. These findings have implications for physical activity promotion and sedentary behaviour strategies targeting Aboriginal adults with asthma.

Pediatric Obesity Screening and Prevention Strategies

Childhood overweight and obesity is a major health concern in the United States. It is recommended that every well-child examination include body mass index measurements and obesity prevention discussions that encourage healthy eating habits, regular physical exercise, and limited television and computer screen time. Providers can make a difference through strategic intervention.