Association of PC Use and TV Viewing Hours with Women’s Recreational Physical Activity and Its Impact on Their Obesity Indices

Background: Television (TV) viewing and computer (PC) use have been associated with poor health outcomes. Aim: To investigate the association of TV viewing and PC use with recreational physical activity energy expenditure (RPAEE), obesity indices, physical activity levels (PAL) and body fat percentage (BF%) of adult women. Methods: Bodyweight (BW), height, waist (WC) and hip (HC) circumferences of 150 adult women were measured. Body mass index (BMI) and waist-to-hip ratio (WHR) were calculated. The BF% was measured by bioelectrical impedance analysis. The Athens Physical Activity Questionnaire was used to assess PAL, RPAE, TV viewing and PC hours. Results: The majority of women (53%) were overweight and obese, watched TV for >14 hr/wk (59%), and almost half (47%) of them used computers for >1 hr/day. Slightly more than half of them (54%) had a sedentary lifestyle and reported exercise participation for <2 hr/wk. No walking for leisure was reported by one-third of the subjects, while an alarming low percentage (0.7%) walked only 2.5 hr/wk. No participation in informal physical activity was reported by 69%. RPAEE was estimated at 982 ± 973 kcal/wk and negatively correlated to TV-watching hours (r = –0.31, p < 0.05), computer use (r = –0.3, p < 0.05), BMI (r = –0.44, p < 0.01), BW (r = –0.44, p < 0.01), WC (r = –0.41, p < 0.01), WHR (r = –0.31, p = 0.01). Moreover, RPAEE and BF% were negatively correlated (r = –0.44, p < 0.01). BF% was associated with long hours of PC use and TV watching (R2 = 0.11, F1.148 = 17.94, p = 0.00; R2 = 0.14, F1.148 = 5.4, p = 0.002). Conclusion: Screen use affecting obesity indices seemed to overrun recreational time for physical activity participation and dominate women’s lifestyle. Further research targeting behavioral change practices is recommended. Keywords: obesity, women, physical activity, recreational physical activity expenditure

Media Exposure and the Risk of Post-Traumatic Stress Disorder Following a Mass traumatic Event: An In-silico Experiment

Introduction: Following mass traumatic events, greater exposure to traditional media like television (TV) about the event is associated with higher burden of post-traumatic stress disorder (PTSD). However, we know little about how social media exposure, combined with other media sources, shapes the population burden of PTSD following mass traumatic events.Materials and Methods: We built a microsimulation of 1,18,000 agents that was demographically comparable to the population of Parkland and Coral Springs, Florida that experienced the Stoneman Douglas High School shooting in 2018. We parametrized the model using data from prior traumatic events and built an internal social network structure to facilitate the estimation of community PTSD prevalence following exposure to TV and social media coverage of the shooting.Results: Overall, PTSD prevalence in the community due to exposure to TV coverage of the shooting was 3.1%. Shifting the whole population's hours of TV watching to the lower half of the population distribution decreased PTSD prevalence to 1.3% while increasing TV watching to the upper half of the distribution increased the prevalence to 3.5%. Casual (i.e., viewing posts) social media use in addition to exposure to TV coverage increased PTSD prevalence to 3.4%; overall prevalence increased to 5.3% when agents shared videos related to the shooting on social media.Conclusion: This microsimulation shows that availability and exposure to media coverage of mass traumatic events, particularly as social media becomes more ubiquitous, has the potential to increase community PTSD prevalence following these events. Future research could fruitfully examine the mechanisms that might explain these associations and potential interventions that can mitigate the role of media in shaping the mental health of populations following traumatic events.

The Prevalence of Insufficient Sleep and Bedtime Delay Among Kindergarten Children Aged 3 to 6 Years in a Rural Area of Shanghai: A Cross-Sectional Study

Introduction: Sleep deprivation in children is a global public health problem that affects the physical and mental development of children. Bedtime delay induced by longer screen time and heavy study load is a common cause of sleep deprivation in children. However, the prevalence of insufficient sleep and bedtime delay and related influencing factors among kindergarten children is limited in Shanghai, China.Methods: In 2018, we selected 8,586 children aged 3 to 6 years and their parents in Songjiang District, Shanghai. Data was collected among parents by face-to-face questionnaire interview with signed informed consent. We defined insufficient sleep as those who slept for &lt; 10 h in children aged 3–5 years or 9 h in children aged 6 years within 24 h, and we define bedtime delay as children with bedtime after 21:00. SAS 9.1.3 software was used to calculate the prevalence of bedtime delay and insufficient sleep, and logistic regression was used to explore potential influencing factors.Results: The prevalence of insufficient sleep and bedtime delay among children aged 3 to 6 years was 11.67 and 56.85%, respectively. The prevalence of insufficient sleep among boys was slightly higher than among girls [odds ratio (OR) = 1.18, 95% confidence interval (CI): 1.04–1.35]. With the increase of the age of children, the prevalence of insufficient sleep increased gradually (P &lt; 0.05). The prevalence of insufficient sleep was higher among the only child in the family (OR = 1.18, 95% CI: 1.02–1.36) and those with longer hours of TV watching (OR = 109, 95% CI: 1.02–1.16). Meanwhile, the prevalence of bedtime delay was also higher among the only child in the family (OR = 1.17, 95% CI: 1.06–1.79), among those with parents accompanying for sleep (OR = 1.21, 95% CI: 1.10-1.34), and those with longer TV watching time (OR = 1.13, 95% CI: 1.07–1.18).Conclusions: Insufficient sleep and bedtime delay were prevalent in Chinese children aged 3 to 6 years, especially in boys and older children. TV watching as well as parents accompanying for sleep were associated with insufficient sleep and bedtime delay. We recommend that parents should limit the screen time of children, advocate earlier bedtime and later morning wake-up among children, as well as make their children sleep in separate beds or rooms in younger age.

Electrically Induced Blink for the Prevention of Ocular Symptoms and Blurred Vision in Patients With Acute Facial Nerve Palsy

Objectives: Facial nerve palsy causes blurred vision and ocular discomfort due to deficits in blinking and eye closure. The objective of this study was to determine whether eye-blinks could be elicited by electrical stimulation and whether electrically induced blink would have an effect on the visual acuity and ocular symptoms in patients with acute facial nerve palsy. Methods: The zygomatic branch of the facial nerve of fifteen participants with acute facial nerve palsy was electrically stimulated in order to elicit a blink. In successful cases, the participant proceeded with a two-hour TV watching session in which an electrically induced blink was delivered every 5 seconds. The control condition consisted of an otherwise similar TV watching session without electrically induced blinking. Subjective ocular symptoms were evaluated with a Dry Eye Questionnaire and visual acuity was assessed with a Logarithm of the Minimum Angle of Resolution (LogMAR) chart before and after both sessions. Results: The stimulation produced a blink in 8 participants (53%). The visual acuity in the affected eye decreased during the control session, whereas no significant change occurred during the stimulation session. The ocular symptoms were significantly reduced during the stimulation session. Conclusions: Electrically elicited blink is a promising method for reducing the eye symptoms in individuals with acute facial nerve palsy.

Marketing Cardiovascular Mortality? Healthy vs. Unhealthy Food in Television Advertising

Background:Cardiovascular disease has been the leading killer of Americans since the Spanish flu pandemic of 1918. During the SARS-CoV-2 pandemic, social distancing and stay-at-home requests, there has been increased television (TV) engagement, and marketing has become more impactful in modifying consumer behaviors. Objective: We evaluated the healthfulness of food marketing, based on commercials most frequently aired on American primetime networks during the SARS-CoV-2 pandemic. Methods:We reviewed a total of 104 TV commercials, 89 chosen randomly during TV watching and 14 targeted to enrich the sample with the leading quick service restaurants (“fast-food chains”). The commercials fell into 4 categories: 1) fast-food chains, 2) brand-recognized individual items, 3) grocery chains, and 4) home-delivery meals. The food items displayed in each commercial were recorded and scored based on the previously validated healthful versus unhealthful nutrition scoring system, assigning either positive or negative values for each food item in the commercial. Results:We found that 58% of the commercials advertised fast-food chains (mean score = -3.1, i.e., 3.1 more unhealthy than healthy items per commercial), while 27% were brand-recognized individual items (-0.82), 9% were grocery chains (-0.4), and 6% were for home-delivery meals (0.83); each was less unhealthy than fast-food (p< 0.0001). Conclusions:Commercial TV in the US routinely promotes the consumption of foods that are known to be unhealthy, particularly those underpinning cardiovascular disease and its risk factors. Regulation and/or legislation to curtail the frequency and/or content of these commercials, and consider a ban on such advertising to children, similar to that previously employed in Canada and the European Union.

Home alone: A population neuroscience investigation of brain morphology substrates

As a social species, ready exchange with peers is a pivotal asset - our 'social capital'. Yet, single-person households have come to pervade metropolitan cities worldwide, with unknown consequences in the long run. Here, we systematically explore the morphological manifestations associated with singular living in ~40,000 UK Biobank participants. The uncovered population-level signature spotlights the highly associative default mode network, in addition to findings such as in the amygdala central, cortical and corticoamygdaloid nuclei groups, as well as the hippocampal fimbria and dentate gyrus. Sex-stratified analyses revealed male-specific neural substrates, including somatomotor, saliency and visual systems, while female-specific neural substrates centred on the dorsomedial prefrontal cortex. In line with our demographic profiling results, the discovered neural imprint of living alone is potentially linked to alcohol and tobacco consumption, anxiety, sleep quality as well as daily TV watching. The secular trend for solitary living will require new answers from public-health decision makers.

Associations between Screen-Based Activities, Physical Activity, and Dietary Habits in Mexican Schoolchildren

Screen-based activities are associated with increased risk of obesity and contribute to physical inactivity and poor dietary habits. The primary aim of this study was to examine the associations among screen-based activities, physical activity, and dietary habits in school-aged children in Guadalajara, Puerto Vallarta, and Mexico City, Mexico. The secondary aim was to examine these associations across sex. The School Physical Activity and Nutrition survey was used to assess screen-based activities (TV watching, video game use, computer use), physical activity, and dietary habits. Organized activity/sports participation, unhealthy dietary habits, and household income were correlated with screen-based activities. While TV watching was associated with decreased participation in organized activity/sports participation, computer and video game use was associated with increased organized activity/sports participation. Boys engaged in more TV watching and video game use compared to girls. All screen-based activities were associated with age among boys; whereas video game and computer use were associated with higher income among girls. These findings suggest a need for sex- and age-specific strategies that acknowledge the differential use of screen-based activities across sex and age. Future research should continue to identify underlying correlates linking screen-based activities with health behaviors to inform strategies to reduce screen-time in Mexican children.

Trend and Causes of Overweight and Obesity among Pre-School Children in Kuwait

Identifying life risk factors of obesity early will help inform policymakers to design evidence-based interventions. The following study aims to assess the trend of overweight and obesity over four years among pre-school Kuwait children, and to examine their association with breakfast skipping (BF), sugary and sweetened beverage (SSB) consumption, and screen time. Children aged 2–5 years (n = 5304) were selected from 2016 to 2019 national surveys. Overweight and obesity were defined according to the World Health Organization references. The children’s mothers were asked about the BF of their children the day of the survey, their frequency of SSB consumption, and their weekly screen time use. Logistic regression was used to identify the risk factors associated with overweight/obesity. No significant decline (p values ≥ 0.12) was found for both overweight and obesity. Contrastingly, BF skipping, SSB consumption, and screen time declined (p < 0.0001). The BF skippers were found to have a 31% lower risk of being overweight. Daily TV watching, for 2–3 h, increases the odds of obesity by 5.6-fold. Our findings are encouraging regarding the decline in risky behaviours over time. However, more effort should be made both at the micro- and macro-level for a sustainable reduction in overweight and obesity.

147 Within-Family Dynamics Influencing Parent and Child Sleep Quality and Nighttime Activities

Introduction Increasing efforts have focused on child sleep due to its benefits to academics and physical/mental health. Less understood are the within-family dynamics that drive sleep-related behavior. Methods Data were obtained from the 2014 National Sleep Foundation Sleep in America Poll (N=1102 parent/child dyads). Variables including age, gender, sleep quality (Excellent/Good/Fair/Poor), evening activities including reading, TV-watching, and online browsing/gaming (Never/Rarely/Sometimes/Often) were reported for parent and child. Ordinal logistic regressions examined child nighttime activity as outcome and nighttime activities (entered simultaneously in the model, adjusted for each other) as independent variables, adjusted for parent and child age, sex, and sleep quality. Results Worse sleep quality in parents was associated with worse sleep quality in their children. Moreover, increased likelihood of child television-watching at night was not associated with parental sleep quality, but it was associated with child sleep quality, with “Fair” and “Poor” sleepers more likely to watch TV (Fair: oOR=1.7,p=0.018; Poor: oOR=8.0,p=0.001). Child television-watching was not associated with likelihood of parental reading, but it was associated with likelihood of parental online browsing/gaming (Rarely oOR=1.7,p=0.001; Sometimes oOR=2.3,p&lt;0.0005; Often oOR=1.9,p=0.004) and parental TV-watching (Rarely oOR=2.6,p&lt;0.0005; Sometimes oOR=5.4,p&lt;0.0005; Often oOR=13.3,p&lt;0.0005). Child online browsing/gaming was also not associated with parental sleep quality but it was associated with child sleep quality (Fair oOR=2.3,p=0.001; Poor oOR=4.8,p=0.009) and parental reading (Rarely oOR=1.5,p=0.04; Often oOR=1.6,p=0.03), TV-watching (Rarely oOR=2.3,p=0.004; Sometimes oOR=2.8,p&lt;0.0005; Often oOR=4.6,p&lt;0.0005) and online browsing/gaming (Rarely oOR=2.8,p&lt;0.0005; Sometimes oOR=5.0,p&lt;0.0005; Often oOR=7.8,p&lt;0.0005). Child reading was not associated with parent or child sleep quality or parental online browsing/gaming, but it was related to parental TV-watching (Sometimes oOR=1.45,p=0.04; Often oOR=1.6,p=0.02) and reading (Rarely oOR=2.4,p&lt;0.0005; Sometimes oOR=4.4,p&lt;0.0005; Often oOR=6.9,p&lt;0.0005). Conclusion Children who do not sleep well have parents who do not sleep well. Further, parents who read are more likely to have children who read, and parents on screens are more likely to have children on screens. Interventions targeted to parents may lead to better sleep habits in children. Support (if any):