Associations between parental and pre-adolescents' physical activity and diet quality: The role of parental child care involvement and child's sex.

BACKGROUND: Research has demonstrated the importance of the family environment in the eating and activity levels of offspring. We examined the cross-sectional associations between moderate-to-vigorous physical activity (MVPA) and diet quality of parents and the MVPA and diet quality of pre-adolescents. Interactions were tested to assess whether the child's sex and the parental level of involvement in daily child care moderated these associations. METHODS: Data from 2467 pre-adolescents (age 11.5 ± 0.2 years; collected in 2015-2016) and their parents or caregivers from a large-scale prospective birth cohort study in Amsterdam (ABCD-study) was used. Parents and pre-adolescents individually reported their diet quality and physical activity. Child care involvement was assessed using the Caregiver Child Interaction Scale. With hierarchical linear regression analyses, we assessed the independent contribution of fathers and mothers. RESULTS: An association between mother-child MVPA was found (ß = 0.013; 95 % CI: 0.006;0.021). The association between father-child MVPA was only significant for highly involved fathers (ß = 0.014; 95 % CI: 0.004;0.023). The child's sex did not change these MVPA associations. Regarding diet quality, associations were found between mother-child diet quality score (DQS) (ß = 0.254; 95 % CI: 0.192;0.316) and father-child DQS, with stronger associations between fathers and sons (ß = 0.234; 95 % CI: 0.169;0.298) than between fathers and daughters (ß = 0.114; 95 % CI: 0.047;0.181). Parental levels of involvement did not change these associations. CONCLUSION: These findings demonstrate that both parental behaviours represent an important factor in physical activity and diet quality in pre-adolescents in a sex-specific manner. As such, it is essential to include both parents in research to obtain the necessary insights for developing effective interventions to promote children's healthy eating and physical activity behaviours.

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques.

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.

Daily distracted consumption patterns and their relationship with BMI.

The rapidly increasing prevalence of overweight and obesity has heightened the need for a better understanding of obesity-related eating patterns and dietary behaviours. Recent work suggests that distracted eating is causally related to increased immediate and later food, pushing the need for a better understanding of the prevalence of distracted consumption and how this relates to body weight. To extract insights in the relationship between demographics, daily consumption settings, and BMI, we performed secondary data analyses on data from 1011 individuals representative of the Dutch population (adults, 507F, BMI 17-50 kg/m2). The most commonly reported distractions were talking to others (32.7%) and watching television (21.7%). Only 18.4% of respondents reported no distractions during meals. To examine how different distractions related to BMI, we performed OLS regression which showed, among other things, that watching tv while eating lunch (η2 = 0.37) and working during dinner were associated with a higher BMI (η2 = 1.63). To examine the robustness of these findings, machine learning techniques were used. A random forest analysis (RMSE = 4.09) showed that next to age and education level, distraction during lunch and snack was amongst the largest predictors of BMI. Multiple linear regression with lasso penalty (RMSE = 4.13) showed that specifically watching tv while eating lunch or snacks was associated with a higher BMI. In conclusion, our analyses confirmed the assumption that people are regularly distracted during their daily meals, with distinct distractors relating to BMI. These findings provide a starting point for evidence-based recommendations on which consumption settings are associated with healthier eating patterns and body weight.

Process and effect evaluation of the app-based parenting program Samen Happie! on infant zBMI: A randomized controlled trial.

Background: Although energy balance-related parenting practices are regarded critical components in the prevention of childhood obesity, most programs targeting parenting practices with respect to a wide range of energy balance-related behaviors were not aimed at high-risk families with a lower socioeconomic position (SEP). Objective: The Samen Happie! app-based program aimed to stimulate healthy child weight development especially among families with a lower SEP, by encouraging healthy energy balance-related parenting practices. Methods: A two-armed randomized controlled trial examined the process and effectiveness of the Samen Happie! program on child zBMI outcomes at 6- and 12-months follow-up. In total, 357 Dutch parents with infants aged 5-15 months old at baseline participated. Parents in the app condition (n = 179) received access to the Samen Happie! app and were compared to a waitlist-control condition (n = 178). Changes in zBMI were examined through linear mixed-effects models based on intention-to-treat and exploratory per-protocol principles. Results: Process data showed low levels of sustained app use and moderate app acceptability. A general increase in child zBMI was observed in both conditions after 6 and 12 months. Intention-to-treat analyses using multiple imputations showed several statistically significant differences between conditions and high-risk subgroups. Specifically, at 6-months follow-up, zBMI increase was least pronounced in the app condition among children of parents with lower educational level. These findings were supported by exploratory per-protocol analyses including only frequent app users. In addition, per-protocol analyses showed benefits of app use at 6-months follow-up for children of parents with higher BMI. However, these effects were reversed at 12-months follow-up in both intention-to-treat and per-protocol analyses, where children of parents in the app condition in general increased the most in zBMI. Conclusions: This study suggests that the Samen Happie! program might prevent zBMI increases after 6 months among children of parents with lower educational level, and children of parents with higher BMI who more frequently use the app. However, the app did not prevent increases in zBMI after 12 months. Future research should investigate strategies to increase sustained app use and engagement in mHealth parenting programs for childhood obesity as well as options to combine app-based programs with additional support strategies aimed at high-risk families. Trial registration: Netherlands trial register (ID: NTR6938), https://trialsearch.who.int/Trial2.aspx?TrialID=NTR6938.

An App-Based Parenting Program to Promote Healthy Energy Balance-Related Parenting Practices to Prevent Childhood Obesity: Protocol Using the Intervention Mapping Framework.

BACKGROUND: The family environment plays an important role in the development of children's energy balance-related behaviors. As a result, parents' energy balance-related parenting practices are important targets of preventive childhood obesity programs. Families with a lower socioeconomic position (SEP) may benefit from participating in such programs but are generally less well reached than families with a higher SEP. OBJECTIVE: This paper describes the application of the Intervention Mapping Protocol (IMP) for the development of an app-based preventive intervention program to promote healthy energy balance-related parenting practices among parents of children (aged 0-4 years) with a lower SEP. METHODS: The 6 steps of the IMP were used as a theory- and evidence-based framework to guide the development of an app-based preventive intervention program. RESULTS: In step 1, behavioral outcomes for the app-based program (ie, children have a healthy dietary intake, sufficient sleep, and restricted screen time and sufficient physical activity) and sociocognitive (ie, knowledge, attitudes, and self-efficacy) and automatic (ie, habitual behaviors) determinants of energy balance-related parenting were identified through a needs assessment. In step 2, the behavioral outcomes were translated into performance objectives. To influence these objectives, in step 3, theory-based intervention methods were selected for each of the determinants. In step 4, the knowledge derived from the previous steps allowed for the development of the app-based program Samen Happie! through a process of continuous cocreation with parents and health professionals. In step 5, community health services were identified as potential adopters for the app. Finally, in step 6, 2 randomized controlled trials were designed to evaluate the process and effects of the app among Dutch parents of infants (trial 1) and preschoolers (trial 2). These trials were completed in November 2019 (trial 1) and February 2020 (trial 2). CONCLUSIONS: The IMP allowed for the effective development of the app-based parenting program Samen Happie! to promote healthy energy balance-related parenting practices among parents of infants and preschoolers. Through the integration of theory, empirical evidence, and data from the target population, as well as the process of continued cocreation, the program specifically addresses parents with a lower SEP. This increases the potential of the program to prevent the development of obesity in early childhood among families with a lower SEP. TRIAL REGISTRATION: Netherlands Trial Register NL6727, https://www.trialregister.nl/trial/6727; Netherlands Trial Register NL7371, https://www.trialregister.nl/trial/7371.

Eating behavior and food purchases during the COVID-19 lockdown: A cross-sectional study among adults in the Netherlands.

On March 15, 2020, the Dutch Government implemented COVID-19 lockdown measures. Although self-quarantine and social-distancing measures were implemented, restrictions were less severe compared to several other countries. The aim of this study was to assess changes in eating behavior and food purchases among a representative adult sample in the Netherlands (n = 1030), five weeks into lockdown. The results show that most participants did not change their eating behaviors (83.0%) or food purchases (73.3%). However, socio-demographic differences were observed among those that reported changes during lockdown. For example, participants with overweight (OR = 2.26, 95%CI = 1.24-4.11) and obesity (OR = 4.21, 95%CI = 2.13-8.32) were more likely to indicate to eat unhealthier during lockdown compared to participants with a healthy weight. Those with a high educational level (OR = 2.25, 95%-CI = 1.03-4.93) were also more likely to indicate to eat unhealthier during lockdown compared to those with a low educational level. Older participants were more likely to indicate to experience no differences in their eating behaviors compared to those of younger age, who were more likely to indicate that they ate healthier (OR = 1.03, 95%CI = 1.01-1.04) as well as unhealthier (OR = 1.04, 95%CI = 1.02-1.06) during lockdown. Participants with obesity were more likely to indicate to purchase more chips/snacks (OR = 2.79, 95%CI = 1.43-5.45) and more nonalcoholic beverages (OR = 2.74, 95%CI = 1.36-5.50) during lockdown in comparison with those with a healthy weight. Of those that used meal delivery services before, 174 (29.5%) indicated to use meal delivery services more frequently during lockdown. Although the results confirm the persistence of dietary routines, profound socio-demographic differences were observed for those that did report changes. Especially for individuals with overweight and obesity, the lockdown has taken its toll on healthy dietary choices. Further research should unravel underlying mechanisms for these observations.

Adolescents' Food Purchasing Patterns in The School Food Environment: Examining the Role of Perceived Relationship Support and Maternal Monitoring.

The school food environment plays a role in adolescents' dietary behaviors. In this study, adolescents' food purchasing patterns in and around school and its potential relationship with perceived maternal relationship support and maternal monitoring were examined. Data were collected in The Netherlands in 2017. A total of 726 adolescents (45.8% boys; Mage = 13.78 ± 0.49) and 713 mothers (Mage = 45.05 ± 4.45) participated. Adolescents' frequency of bringing and purchasing foods was assessed via a Food Frequency Questionnaire (FFQ). Relationship support and monitoring were measured via self-report questionnaires. Structural Equation Modelling (SEM) was conducted to examine associations between adolescents' food purchasing patterns, relationship support, and monitoring. Results indicated that adolescents brought food and drinks mostly from home, and infrequently purchased these products in and around school. Yet, differences exist between subgroups of adolescents. Relationship support was positively associated with bringing fruit, vegetables and salad and negatively associated with purchasing sweet snacks. No associations were found for monitoring. These findings indicate that family-home determinants of healthy and unhealthy eating are important factors to consider when examining the impact of the school food environment on adolescents' food purchasing patterns. This has implications for policy makers who aim to develop and implement measures to improve adolescents' eating in and around school.

Effects of eating with an augmented fork with vibrotactile feedback on eating rate and body weight: a randomized controlled trial.

BACKGROUND: Eating rate is a basic determinant of appetite regulation: people who eat more slowly feel sated earlier and eat less. A high eating rate contributes to overeating and potentially to weight gain. Previous studies showed that an augmented fork that delivers real-time feedback on eating rate is a potentially effective intervention to decrease eating rate in naturalistic settings. This study assessed the impact of using the augmented fork during a 15-week period on eating rate and body weight. METHODS: In a parallel randomized controlled trial, 141 participants with overweight (age: 49.2 ± 12.3 y; BMI: 31.5 ± 4.48 kg/m2) were randomized to intervention groups (VFC, n = 51 or VFC+, n = 44) or control group (NFC, n = 46). First, we measured bite rate and success ratio on five consecutive days with the augmented fork without feedback (T1). The intervention groups (VFC, VFC+) then used the same fork, but now received vibrotactile feedback when they ate more than one bite per 10 s. Participants in VFC+ had additional access to a web portal with visual feedback. In the control group (NFC), participants ate with the fork without either feedback. The intervention period lasted four weeks, followed by a week of measurements only (T2) and another measurement week after eight weeks (T3). Body weight was assessed at T1, T2, and T3. RESULTS: Participants in VFC and VFC+ had a lower bite rate (p < .01) and higher success ratio (p < .0001) than those in NFC at T2. This effect persisted at T3. In both intervention groups participants lost more weight than those in the control group at T2 (p < .02), with no rebound at T3. CONCLUSIONS: The findings of this study indicate that an augmented fork with vibrotactile feedback is a viable tool to reduce eating rate in naturalistic settings. Further investigation may confirm that the augmented fork could support long-term weight loss strategies. TRIAL REGISTRATION: The research reported in this manuscript was registered on 4 November 2015 in the Netherlands Trial Register with number NL5432 ( https://www.trialregister.nl/trial/5432 ).

Cue-Reminders to Prevent Health-Risk Behaviors: A Systematic Review.

Introduction: It has been proposed that the use of cue-reminders may increase the effectiveness of interventions that aim to prevent health-risk behaviors (i.e., having unsafe sex, unhealthy dietary intake, lack of physical activity, and substance use). The aim of this systematic review was to explore whether there is evidence supporting this proposition, and to explore how cue-reminders are applied in health-risk behavior interventions to date. Method: We systemically reviewed (non-) randomized trials that examine differences in health-risk behaviors between an experimental group receiving an intervention with exposure to a cue-reminder and a control group receiving the intervention without such cue. Results: Six studies were eligible for inclusion. The studies differed in sample and research design, and how the cue-reminder was applied. One study demonstrated a positive and small effect, and one study found a negative medium effect of the cue-reminder. In the remaining studies, the effect sizes were positive but non-significant. Discussion: It is unclear whether complementing health-risk behavior interventions with cue-reminders increases the effectiveness of these interventions. Further investigation and experimentation into the efficiency and effectiveness of cue-reminders is needed before health-risk behavior interventions are complemented with cue-reminders.

Feed the Alien! The Effects of a Nutrition Instruction Game on Children's Nutritional Knowledge and Food Intake.

OBJECTIVE: Serious games are a promising venue to increase children's nutritional knowledge in an entertaining format. The aim of this study was to test the short-term effectiveness of the Alien Health Game, a videogame designed to teach elementary school children about nutrition and healthy food choices. MATERIALS AND METHODS: To examine the effects of the Alien Health Game, an experimental design with a single between-subjects factor (experimental condition vs. active control condition) was used. A total of 108 Dutch children (10-13 years; 58 boys) were randomly assigned to either play Alien Health using the Kinect sensor for two consecutive days, for 1 hour of gameplay (experimental condition; n = 50), or a web-based nutrition game for the same period (active control condition; n = 58). Participants' nutritional knowledge was assessed at pretest, immediate, and at 2-week follow-up. Food intake was assessed at immediate and 2-week follow-up. RESULTS: Participants who played Alien Health had better knowledge of the five most important macronutrients of foods at immediate posttest, but not at follow-up. Participants were better able to distinguish the healthier food item out of two options over time, but this effect did not differ for those in the experimental versus the active control condition. No differences in food intake, neither in the consumption of nutrient-dense or energy-dense foods, were found between children playing both games. CONCLUSION: A brief game-based intervention like the Alien Health Game has the potential to improve children's nutritional knowledge in the short term, but may not be strong enough to increase nutritional knowledge and actual eating behavior in the long term. Further investigation is warranted before this game is applied in future nutrition education programs.

How to bridge the intention-behavior gap in food parenting: Automatic constructs and underlying techniques.

Although parents often report positive intentions to promote and create a healthy food environment for their children (e.g., setting limits to snacks offered), they also experience difficulties in translating these intentions into actual behaviors. In this position paper, we argue that automatic processes explain an important part of the gap between parents' intentions and their actual food parenting behaviors. We provide a conceptual framework in which we hypothesize that automatic effects on food parenting occur through two key interrelated constructs: habits (key outcome construct) and volitional regulation behaviors (key mediating construct). Moreover, we discuss potentially important impulse-focused techniques that may directly change habits (e.g., nudging; inhibitory control training) or indirectly through volitional regulation behaviors (e.g., implementation intentions; mental contrasting). We make use of the literature on the role of intention-behavior discordance in general health behaviors and discuss implications for food parenting practices. Our framework provides a dual process view towards food parenting and may help to explain when and why parents are likely to engage in (un)healthy food parenting behaviors. In addition, this framework may hopefully stimulate research on (combinations of old and) new techniques to promote good food parenting behaviors.

Adolescents' Responses to a School-Based Prevention Program Promoting Healthy Eating at School.

BACKGROUND: To improve the effectiveness of school-based programs that aim to promote adolescents' healthy food choices, it is essential to understand the views and behaviors of the target group. This study aimed to get a better understanding of adolescents' food and health perceptions and their willingness to be involved in a specific school-based prevention program, i.e., the Dutch "Healthy School Canteen Program." METHODS: This study used a mixed-methods research design. First, seven semi-structured focus groups were conducted using a selective sample of 42 Dutch adolescents (25 girls, 17 boys, aged 13-16 years). Second, an online survey among 133 adolescent respondents (72 girls, 61 boys, aged 12-19 years) using snowball sampling was conducted. Content analysis was performed to make inferences about the focus group discussions, whereas statistical analyses were conducted to analyze the survey data. RESULTS: Findings from the group discussions indicated that healthy eating was only an issue of importance when adolescents perceived negative physical changes (e.g., with regard to looks or physical performance). Adolescents also indicated that they clearly wanted to make their own food and beverage choices at school. The quantitative data indicated that taste, price, and variety were seen as the most important aspects of a healthy food assortment (mean scores 8.1, 7.8, and 7.7 on a 10-point scale, respectively). In general, a majority of the adolescents (64%) expressed that students should be involved in the organization of a healthy food environment in schools. At the same time, however, adolescents were not willing to participate themselves. This was mostly because they were skeptical about their ideas being heard and put into action by their schools. CONCLUSION: School-based prevention programs, such as the Healthy School Program, should take into account that adolescents have a low risk perception of unhealthy eating and are seeking food choice autonomy. In addition, schools should not lose sight of product price, taste, and variety to make their food assortment attractive to students. If schools aim to involve adolescents in prevention programs that promote healthy eating, it is essential that they have a formal student involvement process that ensures that adolescents' suggestions are valued.

The effect of real-time vibrotactile feedback delivered through an augmented fork on eating rate, satiation, and food intake.

Eating rate is a basic determinant of appetite regulation, as people who eat more slowly feel sated earlier and eat less. Without assistance, eating rate is difficult to modify due to its automatic nature. In the current study, participants used an augmented fork that aimed to decelerate their rate of eating. A total of 114 participants were randomly assigned to the Feedback Condition (FC), in which they received vibrotactile feedback from their fork when eating too fast (i.e., taking more than one bite per 10 s), or a Non-Feedback Condition (NFC). Participants in the FC took fewer bites per minute than did those in the NFC. Participants in the FC also had a higher success ratio, indicating that they had significantly more bites outside the designated time interval of 10 s than did participants in the NFC. A slower eating rate, however, did not lead to a significant reduction in the amount of food consumed or level of satiation. These findings indicate that real-time vibrotactile feedback delivered through an augmented fork is capable of reducing eating rate, but there is no evidence from this study that this reduction in eating rate is translated into an increase in satiation or reduction in food consumption. Overall, this study shows that real-time vibrotactile feedback may be a viable tool in interventions that aim to reduce eating rate. The long-term effectiveness of this form of feedback on satiation and food consumption, however, awaits further investigation.

Descriptive peer norms, self-control and dietary behaviour in young adults.

There is evidence that perceived peer eating norms can influence dietary behaviour. This cross-sectional study examined whether certain personality traits increase the likelihood that personal eating habits are similar to perceived peer eating habits. We assessed frequency of consumption of sugar-sweetened soda (SSS) and sweet pastries (SP), as well as perceived peer descriptive eating norms for SSS and SP in a group of 1056 young adults. We examined whether individual differences in the need for social acceptance and self-control moderated whether participants were likely to display similar dietary habits to their peers. Perceived peer eating norms for SSS and SP predicted frequency of consumption; believing that one's peers frequently consumed SSS and SP was associated with increased personal consumption for both. Individuals with low self-control, as opposed to high self-control, were more likely to adhere to peer norms for SP, but not for SSS. Trait social acceptance needs did not significantly moderate similarity between peer norms and personal consumption for either SSS or SP. The extent to which young adults adhere to descriptive peer dietary norms may depend upon self-control, whereby individuals with low self-control are less able to inhibit social influence of descriptive peer norms on dietary behaviour.

Modelling of food intake in Brazil and Germany: Examining the effects of self-construals.

The current research focused on the influence of informational eating norms on people's food intake, and examined whether this influence was moderated by participants' self-construal levels. In two experiments, a two (intake norm manipulation: low vs. high) by two (self-construal manipulation: interdependent versus independent) between-participant factorial design was used. The studies were conducted in Brazil (Experiment 1) and in Germany (Experiment 2) as participants' self-construal levels differ between these countries. In Experiment 1, results indicated that participants exposed to a high-intake norm ate more than participants exposed to a low-intake norm. However, self-construal was not found to moderate the influence of food intake norms on participants' intake. In Experiment 2, replicating the results of Experiment 1, exposure to a high-intake norm increased participants' food intake, but self-construals again did not moderate modelling effects on food intake. Although differences in individuals' self-construal were found between both countries, they did not affect the magnitude of modelling effects on eating. Our studies provide evidence for cross-cultural similarity in the extent to which Brazilian and German female young adults are vulnerable to modelling effects on food intake, independent on their self-construal.

How parental dietary behavior and food parenting practices affect children's dietary behavior. Interacting sources of influence?

Until now, the literatures on the effects of food parenting practices and parents' own dietary behavior on children's dietary behavior have largely been independent from one another. Integrating findings across these areas could provide insight on simultaneous and interacting influences on children's food intake. In this narrative review, we provide a conceptual model that bridges the gap between both literatures and consists of three main hypotheses. First, parental dietary behavior and food parenting practices are important interactive sources of influence on children's dietary behavior and Body Mass Index (BMI). Second, parental influences are importantly mediated by changes in the child's home food environment. Third, parenting context (i.e., parenting styles and differential parental treatment) moderates effects of food parenting practices, whereas child characteristics (i.e., temperament and appetitive traits) mainly moderate effects of the home food environment. Future studies testing (parts of) this conceptual model are needed to inform effective parent-child overweight preventive interventions.

Social modeling of eating: a review of when and why social influence affects food intake and choice.

A major determinant of human eating behavior is social modeling, whereby people use others' eating as a guide for what and how much to eat. We review the experimental studies that have independently manipulated the eating behavior of a social referent (either through a live confederate or remotely) and measured either food choice or intake. Sixty-nine eligible experiments (with over 5800 participants) were identified that were published between 1974 and 2014. Speaking to the robustness of the modeling phenomenon, 64 of these studies have found a statistically significant modeling effect, despite substantial diversity in methodology, food type, social context and participant demographics. In reviewing the key findings from these studies, we conclude that there is limited evidence for a moderating effect of hunger, personality, age, weight or the presence of others (i.e., where the confederate is live vs. remote). There is inconclusive evidence for whether sex, attention, impulsivity and eating goals moderate modeling, and for whether modeling of food choice is as strong as modeling of food intake. Effects with substantial evidence were: modeling is increased when individuals desire to affiliate with the model, or perceive themselves to be similar to the model; modeling is attenuated (but still significant) for healthy-snack foods and meals such as breakfast and lunch, and modeling is at least partially mediated through behavioral mimicry, which occurs without conscious awareness. We discuss evidence suggesting that modeling is motivated by goals of both affiliation and uncertainty-reduction, and outline how these might be theoretically integrated. Finally, we argue for the importance of taking modeling beyond the laboratory and bringing it to bear on the important societal challenges of obesity and disordered eating.

The Possible Antecedents and Consequences of Matching of Food Intake: Examining the Role of Trait Self-Esteem and Interpersonal Closeness.

Although there is evidence that people tend to match their intake to that of others, less is known about the motives underlying this effect. The current study, therefore, examined the relationship between self-esteem, a specific factor that has been related to the likelihood of social matching. Further, we examined the effects of food matching on interpersonal closeness among eating companions. The sample included 89 female dyads. All dyads had free access to palatable snack food during a 15 min interaction. For each dyad the matching score was calculated, as well as both individual's trait self-esteem scores and interpersonal closeness with their eating partner. The overall degree of matching within dyads was high, replicating the findings of previous research. No relationship, however, was found between trait self-esteem and the degree of matching. Furthermore, there was no effect of matching on perceived interpersonal closeness with or liking of the other person. These results suggest that self-esteem might not be a robust predictor of matching and that matching of food intake may not result in increased perceived interpersonal closeness or liking among eating partners.

Higher weight, lower education: a longitudinal association between adolescents' body mass index and their subsequent educational achievement level?

BACKGROUND: The purpose of this study was to examine the association between adolescents' body mass index (BMI) z-scores and their subsequent level of schooling, extending previous longitudinal research by using objectively measured weight and height data. METHODS: A longitudinal study with 3 study waves (1-year intervals) involving 1248 Dutch adolescents (49% girls; mean age = 13.7 years) at schools providing different educational levels was used to determine adolescents who moved and did not move to a lower educational level in the first year, or in the second year, and to examine whether this movement could be predicted by BMI z-scores (zBMI), after controlling for a large range of potential confounding factors. RESULTS: A total of 1164 Dutch adolescents continued in the same level of education, whereas 84 adolescents moved to a lower educational level (43 moved in the first and 41 in the second year). A higher zBMI significantly increased the risk of a general transition to a lower educational level, and of a transition in the first year, but not in the second year, after controlling for potential demographic, behavioral, and psychological confounds. CONCLUSIONS: Findings suggest that a higher zBMI during adolescence immediately lowers educational achievement level during general secondary education.