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21. Screen time among Spanish university students with disabilities: a self-organizing maps analysis. (PubMed)

Screen time among Spanish university students with disabilities: a self-organizing maps analysis. Screen time can play a significant role in the health and quality of life of people with disabilities. However, there is a lack of studies on this issue among people with disabilities, and even fewer in the university setting. Thus, the aim of our study was to explore the relationships between screen time, disability grade, body mass index (BMI), physical activity and sociodemographic variables (...) reported high values in overall screen time (5.45 h per day/week), with computers being the media most used (2.45 h per day/week). The SOM analysis showed slightly higher screen time values in women than men. People with a high disability grade spent less screen time than those with lower disability grade. Contradictory results exist when a group of men with the highest BMI had the highest screen time and the lowest physical activity (PA) while women with low BMI show the highest screen time

2019 BMC Public Health

22. Physical activity and screen time in out of school hours care: an observational study. (PubMed)

Physical activity and screen time in out of school hours care: an observational study. This study aimed to describe, and identify predictors of, physical activity and screen time in children attending out of school hours care (OSHC).Twenty-three randomly selected OSHC centres (n = 1068 children) participated in this observational, cross-sectional study. Service directors completed interviews regarding policy, training, scheduling and equipment related to physical activity and screen time (...) . Children's activity behaviours (moderate to vigorous physical activity (MVPA), light physical activity, sedentary time and screen time) were measured using standardised direct observation.Directors' interviews revealed a lack of formal policy guiding physical activity and screen time. Time spent in activity behaviours varied widely among OSHC services; for example, average time spent in MVPA ranged from 4 to 49% of the session, time spent sedentary ranged from 31 to 79%, and screen time accounted for 0

2019 BMC Pediatrics

23. Pubertal development and screen time among South Korean adolescents: testing body mass index and psychological well-being as mediators (PubMed)

Pubertal development and screen time among South Korean adolescents: testing body mass index and psychological well-being as mediators This study tested links between pubertal development and screen time among South Korean adolescent boys and girls.Secondary analysis was conducted on data from the Korean Children and Youth Panel Study (KCYPS) involving 2071 adolescents (age M = 13.14 years). Body mass index (BMI) at Grade 8 (baseline), self-esteem and depression at Grade 9 were examined (...) as mediators of the relationship between pubertal development and screen time after adjusting for household income and academic performance. Structural equation modeling was used to assess direct and indirect pathways between pubertal development at Grade 8 and screen time at Grade 9.No direct effect of pubertal development on screen time was found. But, an indirect effect existed for boys from pubertal development to screen time through BMI. Earlier pubertal development predicted higher BMI, and in turn

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2016 Global health research and policy

24. Endoscopic screening using esophageal iodine staining and genotypes of ADH1B and ALDH2 in Japanese alcohol-dependent women. (PubMed)

Endoscopic screening using esophageal iodine staining and genotypes of ADH1B and ALDH2 in Japanese alcohol-dependent women. The presence of large or multiple esophageal distinct iodine-unstained lesions (DIULs) is a strong predictor of field cancerization in the upper aerodigestive tract. Several risk factors for DIULs, including genetic polymorphisms of alcohol and aldehyde dehydrogenases (ADH1B, rs1229984; ALDH2, rs671), have been demonstrated in Japanese alcohol-dependent men. However, few (...) evaluations of alcohol-dependent women have been conducted in this field.Using multiple logistic regression models, we investigated the results of screening using esophageal iodine staining and the identification of determinants for esophageal DIULs in 472 Japanese alcohol-dependent women.DIULs ≥5 mm, multiple DILUs, and both characteristics were observed in 35 (7.4%), 31 (6.6%), and 16 (3.4%) patients, respectively. DIULs ≥5 mm were histologically diagnosed as low-grade intraepithelial neoplasia in 26

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2019 PLoS ONE

25. Carotid artery plaque screening using abdominal aortic calcification on lumbar radiographs. (PubMed)

Carotid artery plaque screening using abdominal aortic calcification on lumbar radiographs. Arteriosclerotic disease is increasing due to aging of the population, and is associated with diabetes, hypertension, hyperlipidemia, obesity, and smoking. This disease may result in fatal cerebrovascular disease, and especially cardiogenic cerebral embolism caused by artery plaque-based atherothrombotic cerebral infarction. The study was performed to examine the relationship of abdominal aortic

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2019 PLoS ONE

26. Randomised controlled trial: Fifty years of age-based screening: time for a new risk-based screening approach

Randomised controlled trial: Fifty years of age-based screening: time for a new risk-based screening approach Fifty years of age-based screening: time for a new risk-based screening approach | BMJ Evidence-Based Medicine We use cookies to improve our service and to tailor our content and advertising to you. You can manage your cookie settings via your browser at any time. To learn more about how we use cookies, please see our . Log in using your username and password For personal accounts (...) OR managers of institutional accounts Username * Password * your user name or password? Search for this keyword Search for this keyword Main menu Log in using your username and password For personal accounts OR managers of institutional accounts Username * Password * your user name or password? You are here Fifty years of age-based screening: time for a new risk-based screening approach Article Text Prevention Randomised controlled trial Fifty years of age-based screening: time for a new risk-based

2014 Evidence-Based Medicine (Requires free registration)

27. Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study (PubMed)

Joint Association of Screen Time and Physical Activity with Obesity: Findings from the Korea Media Panel Study There is evidence to suggest that sedentary behavior is associated with a higher risk of metabolic disease. The aim of this study was to investigate cross-sectional joint associations of physical activity (PA) and screen time (ST), with the risk of obesity in Korean adults.The Korea Media Panel Study consisted of a household interview and a self-administered diary survey on media usage (...) in the analyses.Increased ST was significantly associated with the risk of obesity (controlling for other possible confounders), but PA level was not found to be significantly linked. Participants who engaged in screen time > 6 hours per day had a higher incidence of obesity.This study provides evidence of the association between ST and the increased incidence of obesity measured by BMI, independent of PA amongst Korean adults.

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2018 Osong public health and research perspectives

28. Relationship of Parental and Adolescents' Screen Time to Self-Rated Health: A Structural Equation Modeling. (PubMed)

Relationship of Parental and Adolescents' Screen Time to Self-Rated Health: A Structural Equation Modeling. To investigate the association of parental and adolescents' screen time with self-rated health and to examine the mediating effects of psychosocial factors (social relationships and distress) on this association.A cross-sectional study was conducted among 984 Brazilian adolescents (10- to 17-year-olds). Self-rated health, screen time (adolescents and parental), and perception of social (...) relationships and distress were evaluated through self-report questionnaires. Structural equation modeling was adopted to investigate the pathways of the relationship between adolescents' screen time and self-rated health.Adolescents' screen time was directly and negatively related to self-rated health only in boys ( r = -0.158, p = .015). In girls, screen time was related to self-rated health through distress ( r = -0.188, p = .007) and social relationships ( r = 0.176, p = .008). The models fit

2018 Health Education & Behavior

29. Mothers' and father's perceptions of the risks and benefits of screen time and physical activity during early childhood: a qualitative study. (PubMed)

Mothers' and father's perceptions of the risks and benefits of screen time and physical activity during early childhood: a qualitative study. This study sought to explore mothers' and fathers' perceptions of the risks and benefits of screen time and active play during early childhood.In-depth semi structured telephone interviews were conducted with mothers and fathers (n = 28) of children aged 3-5 years who had earlier taken part in a larger quantitative study in Australia and identified (...) perceptions of screen time, with benefits such as learning, education and relaxation, and risks including habit formation, inappropriate content, negative cognitive and social outcome, and detriments to health being reported. A few differences between mothers' and fathers' perceptions were evident.This study identified that some parental perceptions of benefits and risks of screen time and active play were consistent with published evidence, while others were contradicted by current evidence. Future

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2018 BMC Public Health

30. Prevalence of high screen time and associated factors among students: a cross-sectional study in Zhejiang, China. (PubMed)

Prevalence of high screen time and associated factors among students: a cross-sectional study in Zhejiang, China. To investigate the prevalence and correlates of high screen time (ST) among students in Zhejiang, China.Cross-sectional study.School-based adolescent health survey in Zhejiang Province, China.23 543 students in grades 7-12 from 442 different schools.High ST.The mean age of the students was 15.6 years and 49.7% of them were girls. The prevalence of high ST (screen viewing ≥2 hours

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2018 BMJ open

31. Clustering and correlates of screen-time and eating behaviours among young children. (PubMed)

Clustering and correlates of screen-time and eating behaviours among young children. Screen-time and unhealthy dietary behaviours are highly pervasive in young children and evidence suggests that these behaviours often co-occur and are associated. Identifying clusters of unhealthy behaviours, and their influences early in childhood, can assist in the development of targeted preventive interventions. The purpose of this study was to examine the sociodemographic, behavioural, and home physical (...) environmental correlates of co-occurring screen-time and unhealthy eating behaviours and to assess the clustering of screen-time and unhealthy dietary behaviours in young children.Parents of 126 children, from the UK, aged 5-6 years (49% boys) completed a questionnaire which assessed their child's screen-time (ST), fruit and vegetable (FV), and energy-dense (ED) snack consumption. Categories of health behaviours were created based on frequencies of children meeting recommendations for FV and ST and median

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2018 BMC Public Health

32. Associations of discretionary screen time with mortality, cardiovascular disease and cancer are attenuated by strength, fitness and physical activity: findings from the UK Biobank study. (PubMed)

Associations of discretionary screen time with mortality, cardiovascular disease and cancer are attenuated by strength, fitness and physical activity: findings from the UK Biobank study. Discretionary screen time (time spent viewing a television or computer screen during leisure time) is an important contributor to total sedentary behaviour, which is associated with increased risk of mortality and cardiovascular disease (CVD). The aim of this study was to determine whether the associations (...) of screen time with cardiovascular disease and all-cause mortality were modified by levels of cardiorespiratory fitness, grip strength or physical activity.In total, 390,089 participants (54% women) from the UK Biobank were included in this study. All-cause mortality, CVD and cancer incidence and mortality were the main outcomes. Discretionary television (TV) viewing, personal computer (PC) screen time and overall screen time (TV + PC time) were the exposure variables. Grip strength, fitness

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2018 BMC Medicine

33. Cross-sectional and prospective associations between sleep, screen time, active school travel, sports/exercise participation and physical activity in children and adolescents. (PubMed)

Cross-sectional and prospective associations between sleep, screen time, active school travel, sports/exercise participation and physical activity in children and adolescents. The aim of this study was to investigate how sleep, screen time, active school travel and sport and/or exercise participation associates with moderate-to-vigorous physical activity (MVPA) in nationally representative samples of Norwegian 9- and 15-y-olds, and whether these four behaviors at age nine predict change in MVPA (...) association between screen time and MVPA among 9- (- 2.2 min/d (95% CI: -3.1, - 1.3)) and 15-y-olds (- 1.7 min/d (95% CI: -2.7, - 0.8)). Compared to their peers with 0-5 min/d of active travel to school, 9- and 15-y-olds with ≥16 min/d accumulated 7.2 (95% CI: 4.0, 10.4) and 9.0 (95% CI: 3.8, 14.1) more min/d of MVPA, respectively. Nine-y-old boys and 15-y-olds reporting ≥8 h/week of sports and/or exercise participation accumulated 14.7 (95% CI: 8.2, 21.3) and 17.9 (95% CI: 14.0, 21.8) more min/d of MVPA

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2018 BMC Public Health

34. Cross-sectional and prospective associations of neighbourhood environmental attributes with screen time in Japanese middle-aged and older adults. (PubMed)

Cross-sectional and prospective associations of neighbourhood environmental attributes with screen time in Japanese middle-aged and older adults. This study examined cross-sectional and 2-year prospective associations of perceived and objectively measured environmental attributes with screen time among middle-aged Japanese adults.Prospective cohort study.Nerima and Kanuma cities of Japan.Data were collected from adults aged 40-69 years living in two cities of Japan in 2011 (baseline: n=1011 (...) ; 55.3±8.4 years) and again in 2013 (follow-up: n=533; 52.7% of baseline sample).The exposure variables were five geographic information system-based and perceived attributes of neighbourhood environments (residential density, access to shops and public transport, footpaths, street connectivity), respectively. The outcome variables were baseline screen time (television viewing time and leisure-time internet use) and its change over 2 years. Multilevel generalised linear modelling was used.On average

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2018 BMJ open

35. An instrumental variables approach to assess the effect of class size reduction on student screen time. (PubMed)

An instrumental variables approach to assess the effect of class size reduction on student screen time. An emerging area of research considers links between characteristics of the school setting and health. The existing small evidence base assessing the association between class size and health is inconclusive. This quasi-experimental study uses an instrumental variables approach based on North Carolina's elementary class size reduction policy to assess the relationship between class size (...) and student screen time. Specifically, data are from public school students in North Carolina, USA, who were in 3rd grade any time between fall 2005 and spring 2011. There was no association between class size and screen time (measured as recreational television and/or electronic device use), after accounting for grade size and school size, year fixed effects, and clustering at the school and district level. These findings suggest that, in statewide policy implementation settings, there may not be any

2018 Social Science & Medicine

36. Musculoskeletal Multisite Pain and Patterns of Association After Adjusting for Sleep, Physical Activity and Screen Time in Adolescents. (PubMed)

Musculoskeletal Multisite Pain and Patterns of Association After Adjusting for Sleep, Physical Activity and Screen Time in Adolescents. Cross-sectional.This study aims to describe how pain at multiple body sites is associated after controlling for other predictive factors such as age, sex, sleeping hours, time spent in physical activity, and time spent in screening based activities in adolescents aged 13 to 19 years.The prevalence of multisite pain in adolescents is high, but studies (...) , sleep and screen time, most of the previous associations remain significant (OR between 1.50 and 3.07, P < 0.05).This study's results seem to suggest that pain at one body site is more important in determining multiple painful body sites than demographic or lifestyle factors. Longitudinal studies exploring the association and chronology of multisite pain are needed.3.

2018 Spine

37. Correlates of screen time among 8-19-year-old students in China. (PubMed)

Correlates of screen time among 8-19-year-old students in China. Previous studies have shown that prolonged time spent on screen-based sedentary behavior was significantly associated with lower health status in children, independent of physical activity levels. The study aimed to explore the individual and environmental correlates of screen time (ST) among 8-19-year-old students in China.The study surveyed ST using a self-administered questionnaire in Chinese students aged 8-19 years; 1063

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2018 BMC Public Health

38. Screen time and young children: Promoting health and development in a digital world (PubMed)

Screen time and young children: Promoting health and development in a digital world [This corrects the article DOI: 10.1093/pch/pxx123.][This corrects the article DOI: 10.1093/pch/pxx123.].

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2018 Paediatrics & child health

39. Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models (PubMed)

Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models Guided by the Socialization Model of Child Behavior (SMCB), this cross-sectional study examined direct and indirect associations of parental cognitions and behavior, the home and neighborhood environment, and toddlers' personal attributes with toddlers' physical activity and screen time.Participants included 193 toddlers (1.6 ± 0.2 years) from (...) the Parents' Role in Establishing healthy Physical activity and Sedentary behavior habits (PREPS) project. Toddlers' screen time and personal attributes, physical activity- or screen time-specific parental cognitions and behaviors, and the home and neighborhood environment were measured via parental-report using the PREPS questionnaire. Accelerometry-measured physical activity was available in 123 toddlers. Bayesian estimation in structural equation modeling (SEM) using the Markov Chain Monte Carlo

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2018 The international journal of behavioral nutrition and physical activity

40. Children’s screen time alters the expression of saliva extracellular miR-222 and miR-146a (PubMed)

Children’s screen time alters the expression of saliva extracellular miR-222 and miR-146a An imbalance between energy uptake and energy expenditure is the most important reason for increasing trends in obesity starting from early in life. Extracellular miRNAs are expressed in all bodily fluids and their expression is influenced by a broad range of stimuli. We examined whether screen time, physical activity and BMI are associated with children's salivary extracellular miR-222 and miR-146a (...) expression. In 80 children the extracellular fraction of saliva was obtained by means of differential centrifugation and ultracentrifugation. Expression levels of miR-222 and miR-146a were profiled by qPCR. We studied the association between children's salivary extracellular miRNA expression and screen time, physical activity and BMI using mixed models, while accounting for potential confounders. We found that higher screen time was positively associated with salivary extracellular miR-222 and miR-146a

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2018 Scientific reports

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