Can Parenting Practices Moderate the Relationship between Reward Sensitivity and Adolescents' Consumption of Snacks and Sugar-Sweetened Beverages?

BACKGROUND: Reward sensitivity has been associated with adolescents' intake of unhealthy snacks and sugar-sweetened beverages. However, so far, there are no studies published describing the impact of parenting practices on this relationship. The present study will, therefore, investigate whether food parenting practices can moderate the association between reward sensitivity and diet intakes. METHOD: A cross-sectional research study was conducted among 14- to 16-year old Flemish adolescents (n = 867, age 14.7 ± 0.8 y, 48.1% boys) and a subset of their parents (n = 131), collecting data on daily intakes, reward sensitivity, and food parenting practices. Linear regression was used to assess the moderation effect of parenting practices (both adolescent- and parent-reported) on the relationship between reward sensitivity, and diet using SPSS 25.0. RESULTS: In the main analysis (adolescent-reported), no significant moderation effects were found for parenting practices on the relationship between reward sensitivity and diet. However, the sensitivity analysis (parent-reported) showed a moderation effect for health-reducing parenting practices on the association between reward sensitivity and unhealthy snack intake (ß = 0.297, 95% CI = 0.062, 0.531, p = 0.01). CONCLUSION: Given the difference in the effect of parenting practices between the adolescent- and parent-reported data, our inconclusive findings warrant more research in larger adolescent-parent dyad samples.

Disposition-Content Congruency in Adolescents' Alcohol-Related Social Media (Self-) Effects: The Role of the Five-Factor Model.

OBJECTIVE: Accumulating evidence indicates that social networking sites play an increasingly important role in young people's drinking behavior. The present study adds to this research by assessing the conditionality of the relationships between exposure to and self-sharing of alcohol-related content on social media and adolescents' drinking behavior. Specifically, the moderating role of the five-factor model of personality is determined. METHOD: A cross-sectional survey study was conducted among 866 mid-adolescents (Msubsample = 14.85 years, SD = 0.71, 57.5% girls). Polynomial regression analysis with response surface modeling was used to test the interactions. RESULTS: Exposure, but not self-sharing, was directly associated with more alcohol consumption. However, it appeared that the act of sharing was more important than the frequency of sharing. Next, the relationship between exposure and consumption was not found to be moderated by personality. In contrast, there were significant linear and nonlinear interactions between self-sharing and all five personality traits. Individuals who are predisposed to engage in more alcohol consumption experience a stronger association between self-sharing and their drinking behavior. CONCLUSIONS: Social media can play a role in adolescents' drinking behavior, but this role is partially dependent on temperamental predispositions.

Feasibility and impact study of a reward-based mobile application to improve adolescents' snacking habits.

OBJECTIVE: Adolescents' snacking habits are driven by both explicit reflective and implicit hedonic processes. Hedonic pathways and differences in sensitivity to food rewards in addition to reflective determinants should be considered. The present study evaluated the feasibility and impact of a mobile phone-delivered intervention, incorporating explicit reflective and implicit rewarding strategies, on adolescents' snack intake. DESIGN: Adolescents (n 988; mean age 14·9 (sd 0·70) years, 59·4 % boys) completed a non-randomized clustered controlled trial. Adolescents (n 416) in the intervention schools (n 3) were provided with the intervention application for four weeks, while adolescents (n 572) in the control schools (n 3) followed the regular curriculum. Outcomes were differences in healthy snacking ratio and key determinants (awareness, intention, attitude, self-efficacy, habits and knowledge). Process evaluation data were collected via questionnaires and through log data of the app. RESULTS: No significant positive intervention effects on the healthy snack ratio (b=-3·52 (se 1·82), P>0·05) or targeted determinants were observed. Only 268 adolescents started using the app, of whom only fifty-five (20·5 %) still logged in after four weeks. Within the group of users, higher exposure to the app was not significantly associated with positive intervention effects. App satisfaction ratings were low in both high and low user groups. Moderation analyses revealed small positive intervention effects on the healthy snack ratio in high compared with low reward-sensitive boys (b=1·38 (se 0·59), P<0·05). CONCLUSIONS: The intervention was not able to improve adolescents' snack choices, due to low reach and exposure. Future interventions should consider multicomponent interventions, teacher engagement, exhaustive participatory app content development and tailoring.

Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents.

BACKGROUND: Efforts to improve snacking and drinking habits are needed to promote a healthy body mass index (BMI) in adolescents. Although commercial fitness and nutrition mobile phone apps are widely used, little is known regarding their potential to improve health behaviors, especially in adolescents. In addition, evidence on the mechanisms through which such fitness and nutrition apps influence behavior is lacking. OBJECTIVES: This study assessed whether the use of commercial fitness or nutrition apps was associated with a lower BMI and healthier snacking and drinking habits in adolescents. Additionally, it explored if perceived behavioral control to eat healthy; attitudes to eat healthy for the good taste of healthy foods, for overall health or for appearance; social norm on healthy eating and social support to eat healthy mediated the associations between the frequency of use of fitness or nutrition apps and BMI, the healthy snack, and beverage ratio. METHODS: Cross-sectional self-reported data on snack and beverage consumption, healthy eating determinants, and fitness and nutrition app use of adolescents (N=889; mean age 14.7 years, SD 0.8; 54.8% [481/878] boys; 18.1% [145/803] overweight) were collected in a representative sample of 20 schools in Flanders, Belgium. Height and weight were measured by the researchers. The healthy snack ratio and the healthy beverage ratio were calculated as follows: gram healthy snacks or beverages/(gram healthy snacks or beverages+gram unhealthy snacks or beverages)×100. Multilevel regression and structural equation modeling were used to analyze the proposed associations and to explore multiple mediation. RESULTS: A total of 27.6% (245/889) of the adolescents used fitness, nutrition apps or both. Frequency of using nutrition apps was positively associated with a higher healthy beverage ratio (b=2.96 [1.11], P=.008) and a higher body mass index z-scores (zBMI; b=0.13 [0.05], P=.008. A significant interaction was found between the frequency of using nutrition and for the zBMI (b=-0.03 [0.02], P=.04) and the healthy snack ratio (b=-0.84 [0.37], P=.03). Attitude to eat healthy for appearance mediated both the fitness app use frequency-zBMI (a × b=0.02 [0.01], P=.02) and the nutrition app use frequency-zBMI (a × b=0.04 [0.01], P=.001) associations. No mediation was observed for the associations between the frequency of use of fitness or nutrition apps and the healthy snack or beverage ratio. CONCLUSIONS: Commercial fitness and nutrition apps show some association with healthier eating behaviors and BMI in adolescents. However, effective behavior change techniques should be included to affect key determinants of healthy eating.

Adding a reward increases the reinforcing value of fruit.

Adolescents' snack choices could be altered by increasing the reinforcing value (RV) of healthy snacks compared with unhealthy snacks. This study assessed whether the RV of fruit increased by linking it to a reward and if this increased RV was comparable with the RV of unhealthy snacks alone. Moderation effects of sex, hunger, BMI z-scores and sensitivity to reward were also explored. The RV of snacks was assessed in a sample of 165 adolescents (15·1 (sd 1·5) years, 39·4 % boys and 17·4 % overweight) using a computerised food reinforcement task. Adolescents obtained points for snacks through mouse clicks (responses) following progressive ratio schedules of increasing response requirements. Participants were (computer) randomised to three experimental groups (1:1:1): fruit (n 53), fruit+reward (n 60) or unhealthy snacks (n 69). The RV was evaluated as total number of responses and breakpoint (schedule of terminating food reinforcement task). Multilevel regression analyses (total number of responses) and Cox's proportional hazard regression models (breakpoint) were used. The total number of responses made were not different between fruit+reward and fruit (b -473; 95 % CI -1152, 205, P=0·17) or unhealthy snacks (b410; 95 % CI -222, 1043, P=0·20). The breakpoint was slightly higher for fruit than fruit+reward (HR 1·34; 95 % CI 1·00, 1·79, P=0·050), whereas no difference between unhealthy snacks and fruit+reward (HR 0·86; 95 % CI 0·62, 1·18, P=0·34) was observed. No indication of moderation was found. Offering rewards slightly increases the RV of fruit and may be a promising strategy to increase healthy food choices. Future studies should however, explore if other rewards, could reach larger effect sizes.

Sensitivity to reward and adolescents' unhealthy snacking and drinking behavior: the role of hedonic eating styles and availability.

BACKGROUND: Although previous research found a positive association between sensitivity to reward (SR) and adolescents' unhealthy snacking and drinking behavior, mechanisms explaining these associations remain to be explored. The present study will therefore examine whether the associations between SR and unhealthy snack and/or sugar-sweetened beverage (SSB) intake are mediated by external and/or emotional eating and if this mediation is moderated by availability at home or at school. METHODS: Cross-sectional data on snacking, availability of snacks at home and at school, SR (BAS drive scale) and external and emotional eating (Dutch eating behavior questionnaire) of Flemish adolescents (n = 1104, mean age = 14.7 ± 0.8 years; 51 % boys; 18.0% overweight) in 20 schools spread across Flanders were collected. Moderated mediation analyses were conducted using generalized structural equation modeling in three steps: (1) direct association between SR and unhealthy snack or SSB intake, (2) mediation of either external or emotional eating and (3) interaction of home or school availability and emotional or external eating. RESULTS: Partial mediation of external eating (a*b = 0.69, p < 0.05) and of emotional eating (a*b = 0.92, p < 0.01) in the relation between SR and intake of unhealthy snacks was found (step 2). The relation between SR and SSB intake was not mediated by external or emotional eating (step 2). No moderation effects of home or school availability were found (step 3). CONCLUSION: Our findings indicate that the association between SR and the consumption of unhealthy snacks is partially explained by external and emotional eating in a population-based sample of adolescents irrespective of the home or school availability of these foods.

Sensitivity to reward is associated with snack and sugar-sweetened beverage consumption in adolescents.

PURPOSE: High intake of palatable foods, such as energy-dense snacks and sugar-sweetened beverages (SSBs), is common among adolescents. An individual's sensitivity to reward (SR) may influence these intakes. The main objective of this study was to investigate the association between SR and both snack and SSB intake among adolescents. METHODS: A representative cross-sectional survey was conducted among 1104 14- to 16-year-olds (mean age = 14.7 ± 0.8 years; 50.9 % boys; 18.0 % overweight) in Flanders. Daily intakes were measured by a food frequency questionnaire. SR was assessed using the behavioral activation system (BAS) scales. Multilevel regression analyses (two level: adolescent school) were conducted using STATA version 13. RESULTS: BAS drive was positively associated with daily intakes of SSBs (13.79 %, p < 0.01), unhealthy snacks (5.42 %, p < 0.001), and energy and nutrients derived from SSBs (p < 0.001) and snacks (p < 0.01). BAS reward responsiveness (RR) was only positively associated with intake of unhealthy snacks (3.85 %, p < 0.05), healthy snacks (6.41 %, p < 0.05), and fat (4.05 %, p < 0.01) and Na (3.89 %, p < 0.05) from snacks. Interaction effects of gender and BAS RR (p < 0.05) were found. Significant positive associations between BAS RR and daily intakes of energy from snacks (6.48 %, p < 0.01) and fat from snacks (7.22 %, p < 0.001) were found only for girls. CONCLUSION: SR was associated with snack and SSB consumption in adolescents, especially in girls. These findings suggest that SR should be taken into account when designing interventions to improve the snack and SSB intake of adolescents.

Compulsive use of social networking sites in Belgium: prevalence, profile, and the role of attitude toward work and school.

A representative sample (n=1,000) of the Belgian population aged 18 years and older filled out an online questionnaire on their Internet use in general and their use of social networking sites (SNS) in particular. We measured total time spent on the Internet, time spent on SNS, number of SNS profiles, gender, age, schooling level, income, job occupation, and leisure activities, and we integrated several psychological scales such as the Quick Big Five and the Mastery Scale. Hierarchical multiple regression modeling shows that gender and age explain an important part of the compulsive SNS score (5%) as well as psychological scales (20%), but attitude toward school (additional 3%) and income (2.5%) also add to explained variance in predictive models of compulsive SNS use.