Mediators of longitudinal associations between television viewing and eating behaviours in adolescents

Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Victoria, 3125, Australia.
International Journal of Behavioral Nutrition and Physical Activity (Impact Factor: 3.68). 03/2011; 8:23. DOI: 10.1186/1479-5868-8-23
Source: PubMed

ABSTRACT Television viewing has been associated with poor eating behaviours in adolescents. Changing unhealthy eating behaviours is most likely to be achieved by identifying and targeting factors shown to mediate the association between these behaviours. However, little is known about the mediators of the associations between television viewing and eating behaviours. The aim of this study was to examine mediators of the longitudinal associations between television viewing (TV) and eating behaviours among Australian adolescents.
Eating behaviours were assessed using a web-based survey completed by a community-based sample of 1729 adolescents from years 7 and 9 of secondary schools in Victoria, Australia, at baseline (2004-2005) and two years later. TV viewing and the potential mediators (snacking while watching TV and perceived value of TV viewing) were assessed via the web-based survey at baseline.
Adolescents who watched more than two hours of TV/day had higher intakes of energy-dense snacks and beverages, and lower intakes of fruit two years later. Furthermore, the associations between TV viewing and consumption of energy-dense snacks, energy-dense drinks and fruit were mediated by snacking while watching TV. Perceived value of TV viewing mediated the association between TV viewing and consumption of energy-dense snacks, beverages and fruit.
Snacking while watching TV and perceived value of TV viewing mediated the longitudinal association between TV viewing and eating behaviours among adolescents. The efficacy of methods to reduce TV viewing, change snacking habits while watching TV, and address the values that adolescents place on TV viewing should be examined in an effort to promote healthy eating among adolescents.


Available from: Natalie Pearson, Jun 01, 2015
  • [Show abstract] [Hide abstract]
    ABSTRACT: Youth spend more time with screens than any activity except sleeping. Screen time is a risk factor for obesity, possibly because of the influence of food and beverage advertising on diet.
    American Journal of Clinical Nutrition 10/2014; 100(4):1173-81. DOI:10.3945/ajcn.114.088500 · 6.92 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background Childhood overweight and obesity is a major public health concern. Knowledge on modifiable risk factors is needed to design effective intervention programs. This study aimed to assess associations of children¿s sedentary behaviors (television viewing and computer game use) and physical activity behaviors (sports participation, outdoor play, and active transport to/from school) with three indicators of body fat, i.e., percent fat mass, body mass index (BMI) standard deviation scores, and weight status (normal weight, overweight).Methods Cross-sectional data from 5913 6-year-old ethnically diverse children were analyzed. Children¿s weight and height were objectively measured and converted to BMI. Weight status was defined according to age- and sex-specific cut-off points of the International Obesity Task Force. BMI standard deviation scores were created, based on Dutch reference growth curves. Fat mass was measured my dual-energy X-ray absorptiometry (DXA). Sedentary and physical activity behaviors were assessed by parent-reported questionnaires. Series of logistic and linear regression analyses were performed, controlling for confounders (i.e., socio-demographic factors, family lifestyle factors, and other sedentary behaviors and physical activity behaviors).ResultsSports participation was inversely associated with fat mass (p < 0.001), even after adjustment for socio-demographic factors, family lifestyle factors, and other sedentary behaviors and physical activity behaviors. No other independent associations were observed.Conclusions The results of this study indicate that sports participation is inversely associated with percent body fat among ethnically diverse 6-year-old children. More research in varied populations including objective measurements and longitudinal designs are needed to confirm these current results.
    International Journal of Behavioral Nutrition and Physical Activity 08/2014; 11(1):96. DOI:10.1186/PREACCEPT-1946502959127020 · 3.68 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study examines the extent to which insufficient sleep is associated with diet quality in students taking part in the Massachusetts Childhood Obesity Research Demonstration Project. Data were collected in Fall 2012 for all 4(th) and 7(th) grade children enrolled in public schools in two Massachusetts communities. During annual BMI screening, students completed a survey that assessed diet, physical activity, screen time, and sleep. Of the 2456 enrolled students, 1870 (76%) had complete survey data. Generalized estimating equations were used to examine associations between sleep duration and dietary outcomes (vegetables, fruit, 100% juice, juice drinks, soda, sugar-sweetened beverages and water), accounting for clustering by school. Models were adjusted for community, grade, race/ethnicity, gender, television in the bedroom, screen time, and physical activity. In adjusted models, students who reported sleeping <10hours/day consumed soda more frequently (β=0.11, 95% CI:0.03, 0.20) and vegetables less frequently (β=-0.09, 95% CI:-0.18, -0.01) compared with students who reported ≥10hours/day. No significant associations were observed between sleep duration and fruit, 100% juice, juice drinks or water. In this population, insufficient sleep duration was associated with more frequent soda and less frequent vegetable consumption. Longitudinal research is needed to further examine these relationships. Copyright © 2015. Published by Elsevier Inc.
    Preventive Medicine 02/2015; 74. DOI:10.1016/j.ypmed.2015.02.007 · 2.93 Impact Factor