Appearance satisfaction mediates the relationship between recreational screen time and depressive symptoms in adolescents.

BACKGROUND: Research suggests there is an association between high levels of recreational screen time and depression among adolescents; however, mechanisms driving this association remain unknown. The present study examined appearance and weight satisfaction and disordered eating behaviors as mediators in the relationship between recreational screen time and depressive symptoms in adolescents. METHOD: Longitudinal data on screen time, depressive symptoms, disordered eating behaviors, and appearance and weight satisfaction from 304 adolescents (194 females, Mage = 13.40) were analyzed through a moment structure model. RESULTS: Results revealed appearance dissatisfaction mediated the direct effect of recreational screen time on depressive symptoms (Estimate = 0.48, SE = .18, 95% CI [0.12, 0.84]), and that recreational screen time was significantly related to lower appearance satisfaction (Estimate = -0.06, SE = .02, 95% CI [-0.10, -0.01]), which was significantly predictive of more severe depressive symptoms (Estimate = -1.49, SE = .62, 95% CI [-2.71, -0.28]). CONCLUSIONS: These findings suggest that modulating screen time may be an efficacious strategy to reduce appearance dissatisfaction and depressive symptoms during adolescence.

Screen time is associated with depressive symptomatology among obese adolescents: a HEARTY study.

UNLABELLED: Obese adolescents spend a disproportionate time in screen-based activities and are at higher risk for clinical depression compared to their normal-weight peers. While screen time is associated with obesity and cardiometabolic risk factors, little is known about the relationship between screen time and mental health. This cross-sectional study examines the association between duration and types of screen time and depressive symptomatology (subclinical symptoms) in a sample of 358 (261 female; 97 male) overweight and obese adolescents aged 14-18 years. Self-report measures assessed depressive symptoms and time spent in different types of screen behavior (TV, recreational computer use, and video games). After controlling for age, ethnicity, sex, parental education, body mass index (BMI), physical activity, caloric intake, carbohydrate intake, and intake of sugar-sweetened beverages, total screen time was significantly associated with more severe depressive symptomatology (ß = 0.21, p = 0.001). After adjustment, time spent playing video games (ß = 0.13, p = 0.05) and recreational computer time (ß = 0.18, p = 0.006) was associated with depressive symptoms, but TV viewing was not. CONCLUSIONS: Screen time may represent a risk factor or marker of depressive symptomatology in obese adolescents. Future intervention research should evaluate whether reducing screen exposure reduces depressive symptoms in obese youth, a population at increased risk for psychological disorders. WHAT IS KNOWN: • Screen time is associated with an increased risk of obesity in youth. • Screen time is associated with an adverse cardio-metabolic profile in youth. What is New: • Screen time is associated with more severe depressive symptoms in overweight and obese adolescents. • Time spent in recreational computer use and playing video games, but not TV viewing, was associated with more severe depressive symptoms in overweight and obese adolescents.

Screen time is associated with depression and anxiety in Canadian youth.

OBJECTIVE: This study examined the relationships between screen time and symptoms of depression and anxiety in a large community sample of Canadian youth. METHOD: Participants were 2482 English-speaking grade 7 to 12 students. Cross-sectional data collected between 2006 and 2010 as part of the Research on Eating and Adolescent Lifestyles (REAL) study were used. Mental health status was assessed using the Children's Depression Inventory and the Multidimensional Anxiety Scale for Children-10. Screen time (hours/day of TV, video games, and computer) was assessed using the Leisure-Time Sedentary Activities questionnaire. RESULTS: Linear multiple regressions indicated that after controlling for age, sex, ethnicity, parental education, geographic area, physical activity, and BMI, duration of screen time was associated with severity of depression (ß=0.23, p<0.001) and anxiety (ß=0.07, p<0.01). Video game playing (ß=0.13, p<.001) and computer use (ß=0.17, p<0.001) but not TV viewing were associated with more severe depressive symptoms. Video game playing (ß=0.11, p<0.001) was associated with severity of anxiety. CONCLUSION: Screen time may represent a risk factor or marker of anxiety and depression in adolescents. Future research is needed to determine if reducing screen time aids the prevention and treatment of these psychiatric disorders in youth.

Screen time is independently associated with health-related quality of life in overweight and obese adolescents.

AIM: Excessive screen time and diminished health-related quality of life (HRQoL) are greater problems for obese than nonobese adolescents, but no research has examined the relationship between these two variables. This study examined the association between screen time and HRQoL in overweight and obese adolescents. METHODS: A sample of 358 overweight and obese adolescents aged 14-18 years were assessed at baseline between 2005 and 2010 as part of the Canadian Healthy Eating, Aerobic and Resistance Training in Youth (HEARTY) trial. We used the Pediatric Quality of Life (PEDS-QL) and other self-report measures to assess HRQoL and screen time, defined as how long the 261 females and 97 males spent viewing TV, using the computer and playing video games. RESULTS: After adjusting for socio-demographic variables, adiposity, physical activity and diet, screen time duration was associated with reduced overall HRQoL (adjusted r = -0.16, ß = -0.16, p = 0.009) and psychosocial HRQoL (adjusted r = -0.16, ß = -0.18, p = 0.004), but not physical HRQoL. No differences were found between males and females. CONCLUSION: Screen time was associated with reduced overall and psychosocial HRQoL in overweight and obese adolescents. Future research should determine whether reducing screen time improves overall and psychosocial HRQoL in obese adolescents.

The effects of aerobic exercise on psychosocial functioning of adolescents who are overweight or obese.

OBJECTIVES: To evaluate effects of stationary cycling to music versus interactive video game cycling on psychosocial functioning in obese adolescents. METHODS: 30 obese adolescents aged 12-17 years were randomized to twice weekly laboratory-based sessions of stationary cycling to music or interactive video game cycling for a 10-week trial. Participant's self-reported measures of scholastic competence, social competence, athletic competence, body image, and self-esteem were obtained. Aerobic fitness and body composition were directly measured. RESULTS: Although no differences emerged between exercise groups over time, when collapsed across exercise modality, significant pre-post improvements were found for body image, perceived scholastic competence and social competence. Changes in aerobic fitness, but not body composition, were positively associated with psychosocial functioning. CONCLUSIONS: Aerobic exercise was associated with improvements in body image, perceived academic performance, and social competence in obese adolescents, and these psychological benefits were related to improved aerobic fitness but not changes in body composition.

Effects of prenatal exposure to cigarettes on anthropometrics, energy intake, energy expenditure, and screen time in children.

BACKGROUND: Maternal prenatal smoking is associated with downstream childhood obesity. Although animal research suggests reduced resting energy expenditure (REE), decreased physical activity (PA), and increased energy intake as mechanisms, these relationships are unclear in humans. The objectives were to examine the association of prenatal maternal smoking with non-volitional energy expenditure (REE and the thermic effect of feeding [TEF]), child adiposity, energy intake, free-living PA (daily light PA (LPA), daily moderate-to-vigorous PA (MVPA), daily sedentary behavior (SB)), and screen time (television and computer/video game) in children. METHODS: As part of a longitudinal study, 46 children (n = 27 controls and n = 19 smoking exposed) with mean age 7.6 ±â€¯2 years were recruited. Body weight and composition (Bioelectrical Impedance), height (Stadiometer), waist circumference (cm; tape), BMI (kg/m2), REE (kcal/day; indirect calorimetry), PA (minutes; Accelerometry), screen time (hours; self-report) and ad libitum energy intake (lunch buffet; 7-day food log) were measured. Effects sizes were evaluated using Cohen's d. RESULTS: Relative to controls, after controlling for age and family income, children who were exposed to cigarette smoke in utero exhibited greater waist circumference (p = 0.04, Cohen's d = 1.03), percent body fat (%BF; p = 0.02, Cohen's d = 0.97), and a trend for BMI (p = 0.05, Cohen's d = 0.86). Exposed children did not differ in REE (trend for lower: p = 0.1, Cohen's d = 0.42) or TEF but were shown to have significantly higher ad libitum energy intake (p = 0.02, Cohen's D = 0.70) from the palatable lunch buffet, but not from the out of laboratory 7-day energy intake (p = 0.8). Examining screen time behaviors, exposed children spent more time watching television during the week (p = 0.03, Cohen's D = 0.82), and overall television watching (p = 0.02, Cohen's D = 0.80); there were no group differences in any other screen time behaviors. CONCLUSIONS: Children exposed to cigarette smoke in utero exhibit greater adiposity, and this exposure may have as contributing factors higher screen time, ad libitum energy intake, and a trend for reduced REE. The data suggest that lifestyle factors such as diet and screen time represent targets for obesity prevention in a high-risk population of young children exposed to prenatal cigarette smoke. Findings also highlight the need for smoking cessation programs to reduce downstream obesity in offspring.

Excessive Time on Social Networking Sites and Disordered Eating Behaviors Among Undergraduate Students: Appearance and Weight Esteem as Mediating Pathways.

Social networking sites (SNS) are a popular form of communication among undergraduate students. Body image concerns and disordered eating behaviors are also quite prevalent among this population. Maladaptive use of SNS has been associated with disordered eating behaviors; however, the mechanisms remain unclear. The present study examined if body image concerns (e.g., appearance and weight esteem) mediate the relationship between excessive time spent on SNS and disordered eating behaviors (restrained and emotional eating). The sample included 383 (70.2 percent female) undergraduate students (mean age = 23.08 years, standard deviation = 3.09) who completed self-report questionnaires related to SNS engagement, body image, disordered eating behaviors, and demographics. Parallel multiple mediation and moderated mediation analyses revealed that lower weight and appearance esteem mediated the relationship between excessive time on SNS and restrained eating for males and females, whereas appearance esteem mediated the relationship between excessive time on SNS and emotional eating for females only. The study adds to the literature by highlighting mediational pathways and gender differences. Intervention research is needed to determine if teaching undergraduate students more adaptive ways of using SNS or reducing exposure to SNS reduces body dissatisfaction and disordered eating in this high-risk population.

Family meals and body mass index among adolescents: effects of gender.

Family meals have been identified as a protective factor against obesity among youth. However, gender specificities with respect to the relationship between the frequency of family meals and body mass index (BMI) have not been investigated. The purpose of this study was to examine the relationship between the frequency of family meals and BMI in male and female adolescents, while controlling for potential confounding factors associated with BMI, such as parental education, adolescent's age, and snack-food eating. Research participants were 734 male and 1030 female students (mean age, 14.12 years, SD = 1.62) recruited from middle schools and high schools in the capital region of Canada. Participants completed validated, self-report measures to assess the frequency of family meals and the risk factors associated with increased BMI, which was derived from objective measures of height and weight. After controlling for proposed confounding variables, a higher frequency of family meals was associated with lower BMI in females, but not in males. A Z-transformation test of the homogeneity of adjusted correlation coefficients showed a significant trend (p = 0.06), indicating that the relationship between family meals and BMI is stronger in females than males, consistent with our regression analyses. Our findings suggest that eating together as a family may be a protective factor against obesity in female adolescents, but not in male adolescents. Findings from this study have important implications for parents and health care practitioners advocating for more frequent family meals as part of a comprehensive obesity prevention and treatment program for female adolescents.