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Purpose Previous studies showed that patients with lower weight loss after bariatric surgery could be identified based on early postoperative weight loss. However, these studies had only 12–36-month follow-up. This study aimed to explore whether patients in the lowest weight loss quartile at 3 months had lower weight loss trajectories up to 5 years after Roux-en-Y gastric bypass (RYGB), banded Roux-en-Y gastric bypass (BRYGB), and sleeve gastrectomy (SG) surgery. Methods Weight was assessed preoperatively, and 3, 6, 9, 12, 24, 36, 48, and 60 months postoperatively. Patients were grouped into four categories based on quartiles of percentage total weight loss (%TWL) at 3-month follow-up. Results were compared between the lowest %TWL quartile group and other quartile groups. Results Patients underwent either RYGB (n=13,106; 72%), SG (n=3585; 20%), or BRYGB (n=1391, 8%) surgery. Weight loss trajectories of patients in the lowest %TWL quartile group remained lower than that of other quartile groups throughout a 5-year follow-up, for all three types of surgery. Patients in the lowest %TWL quartile group had higher age at surgery, higher baseline BMI, and were more likely to be male (in the SG group), and to suffer from diabetes, hypertension, dyslipidemia, and osteoarthritis. Conclusion This study showed a positive association between weight loss at 3 and 12 to 60 months after bariatric surgery. Weight loss at 3 months after surgery could be used to identify patients whose anticipated weight loss trajectories are below average, to potentially improve their outcomes through early behavioral or medical interventions. Graphical Abstract

Background When losing weight, most individuals find it difficult to maintain a healthy diet. Social environmental conditions are of pivotal importance in determining dietary behavior. To prevent individuals from lapsing, insight in social environmental predictors of lapse in dietary behavior is needed. Purpose Identify social environmental predictors of lapse in dietary behavior, using ecological momentary assessment (EMA) amongst Dutch adults trying to lose weight. Methods Adults (N = 81) participated in two 7-day EMA weeks. Six times a day semi-random prompts were sent. At each prompt, participants indicated whether a lapse had occurred and responded to questions assessing social support, descriptive norm, injunctive norm, social pressure, presence of others, and current location. Generalized estimating equations were used to examine associations with lapse. Results Injunctive norm (OR = 1.07, 95% CI = 1.03-1.11), descriptive norm (OR = 1.04, 95% CI = 1.02-1.07), and social pressure (OR = 1.09, 95% CI = 1.05-1.14), all toward diverting from diet plans, predicted lapses. Social support toward sticking to diet plans and presence of others did not predict lapses. When controlling for a prior lapse, all other associations became nonsignificant. Lapses occurred most often at home and gradually occurred more often during the day. Conclusions Traditional public health perspectives have mainly focused on individual choice and responsibility for overweight related unhealthy lifestyles. This study shows that there may be opportunities to enhance intervention programs by also focusing on social norms and social pressure. The involvement of partners or housemates may create more awareness of the impact of (unintentional) social pressure on risk of lapsing, and reduce the level of exerted social pressure.Lay Summary When losing weight, most individuals find it difficult to maintain a healthy diet. As social environmental conditions are of pivotal importance in determining dietary behavior, insight in social environmental predictors of lapse in dietary behavior is needed to prevent individuals from lapsing. Therefore, this study identified social environmental predictors of lapse in dietary behavior, using ecological momentary assessment (EMA) amongst Dutch adults trying to lose weight. A total of 81 participants took part in two 7-day EMA weeks, in which six times a day semi-random prompts were sent. At each prompt, participants indicated whether a lapse had occurred and responded to questions assessing social support, descriptive norm, injunctive norm, social pressure, presence of others, and current location. The results show that injunctive norm, descriptive norm, and social pressure, all toward diverting from diet plans, predicted dietary lapses. Social support toward sticking to diet plans and presence of others did not predict dietary lapses. Additionally, lapses occurred most often at home and gradually occurred more often during the day. This study shows that there may be opportunities to enhance intervention programs by also focusing on social norms and social pressure.

Objective: Behaviour change maintenance seems to be difficult for many people. To prevent people from relapsing, insight into determinants of relapse is needed. We synthesized the evidence on predictors of lapse and relapse in physical activity and dietary behaviour change. Design: Prospective studies in adults aged ≥18 years were identified from systematic searches in PsycINFO, PubMed and Cinahl. Methodological quality was analysed, and data were synthesized narratively. Main outcome measures: Lapse and relapse in physical activity and dietary behaviour. Results: 37 articles were included. For several predictors, evidence for an association was found, with self-efficacy as the only consistent predictor across the different outcomes, predicting both lapse and relapse in physical activity, and relapse in dietary behaviour. For most other variables, evidence for prospective relationships with lapse and relapse was insufficient. Conclusion: Most predictors on lapse and relapse were not examined frequently enough to draw conclusions from; many predictors were studied only once or had inconclusive evidence. To be able to provide more substantiated conclusions, more high-quality research is needed. Practitioners and intervention programs could focus on sustainability of behaviour change, by targeting the outcome of interest and its relevant predictors by using behaviour change techniques that have proven effective.

Insufficient sleep duration among adolescents is a widespread public health problem. Gaining better insight into social-cognitive determinants associated with adolescent sleep duration is necessary for developing effective preventive interventions to support healthy sleep. This study aimed to explore whether social-cognitive determinants regarding sufficient sleep duration were associated with sleep duration, and if these associations were mediated by collective sleep hygiene practices. Furthermore, we examined these associations for social-cognitive determinants related to not using media before bedtime and doing relaxing activities and considered whether these associations were mediated by specific sleep hygiene practices. Data were collected amongst second- and third-grade adolescents from 10 Dutch high schools. A total of 878 adolescents (mean [SD] age 13.3 [0.71] years) completed data on sleep duration, social-cognitive determinants of the Theory of Planned Behaviour (i.e., attitude, subjective norms from parents, subjective norms from peers, perceived behavioural control, intention), and sleep hygiene practices. Single- and multivariable path models were constructed and mediation by sleep hygiene practices was analysed by Monte Carlo simulation. All social-cognitive determinants except for subjective norms from peers were associated with longer sleep duration (p < 0.01). Sleep hygiene practices mediated all associations between social-cognitive determinants and sleep duration (mediation ranging from 16% to 72%). Although some of the significant associations and mediation disappeared in the multivariable model, behavioural arousal was the strongest mediator, but collective sleep hygiene practices and cognitive/emotional arousal also explained parts of the associations. The findings indicate that social-cognitive factors should not be overlooked when targeting adolescent sleep duration.

BACKGROUND: Little research has taken individual variability in weight loss into account. Furthermore, physical activity (PA) and eating style (ES) have been linked only sporadically to weight loss longitudinally.OBJECTIVES: Identify and describe latent classes of weight loss, change of PA, and change of ES up to 5 years after surgery and investigate whether these trajectories are interrelated.SETTING: Multicenter outpatient clinic.METHODS: This is a retrospective study of data collected during standard treatment before and up to 5 years after surgery. Latent class growth analysis was used to identify trajectories of weight loss (percent total weight loss), PA (Baecke questionnaire), and ES (Dutch Eating Behavior Questionnaire).RESULTS: A total of 2785 patients were included. Follow-up rate was 84% at 1 year and 34% at 5 years. Analyses revealed 5 weight loss trajectories. Most patients followed an average, fairly stable weight loss trajectory (48%) or an above-average partial-regain trajectory (36%). Other patients followed a low-responder trajectory (9%), a rapid weight loss and weight regain trajectory (6%), or a continued weight loss trajectory (2%). Patients in the most favorable weight loss trajectory were more likely to also follow the most favorable ES trajectories. Patients following the most unfavorable weight loss trajectory were never also in the PA trajectory with an initial great increase in PA.CONCLUSION: This study distinguishes demographic and behavioral factors that may influence long-term weight loss trajectories after bariatric surgery. Trajectories varied mainly in magnitude and less in the pattern of weight loss over time, suggesting that very deviant patterns are rare.

Objective: To provide insight into the motivational working mechanisms (i.e. mediators) of an effective physical activity (PA) intervention for adults aged over fifty. Design: The mediation model (N = 822) was investigated in an RCT for the total intervention population, participants who were not norm-active at baseline (targeting PA initiation) and norm-active participants (targeting PA maintenance) separately. Main Outcome Measures: Potential mediators (attitude, self-efficacy, intention, action planning and coping planning) of the effect on PA (6-months) were assessed at baseline, 3 and/or 6 months. Results: The intervention resulted in a decrease in intention (B= −.209; p=.017), and an increase in action planning (B=.214; p=.018) and PA (B=.220; p=.002). Intention and action planning did not mediate the effect on PA. Self-efficacy, although not significantly influenced by the intervention, was found to be the only motivational variable that predicted change in PA (B=.164; p=.007). These results were confirmed among participants initiating PA. Among norm-active participants no significant intervention effects were identified. Conclusion: The motivational factors cannot explain the intervention effect on PA. Most likely, the effect can be explained by an interaction between the motivational factors together. Differences between participants initiating versus maintaining PA, highlight the importance of performing mediation analyses per subgroup.

The aim of the present study was to explore potential factors of inadequate sleep health (i.e. sleep duration, quality, and timing) of school-aged children. Data were collected among 382 primary school children (aged 4-13 years) and their parents. Personal characteristics (i.e. age, sex), individual lifestyle behaviours (i.e. screen use, sleep hygiene behaviour), social and community factors (i.e. parental sleep-related practices, parental barriers, perceived ethnicity), and living conditions (i.e. parental educational level, sleep environment) were assessed with a parental questionnaire. Sleep duration, quality, and timing were assessed with a sleep diary. Associations were analysed using linear mixed models and logistic regression analyses. In total, 332 children, with a mean (range) age of 7.5 (4-13) years, were included in the analyses. The mean sleep duration was 632 min/night, the mean sleep quality score was 40, on a scale from 10 to 50, and 25% had a bedtime that varied >40 min between weekdays. Factors negatively associated with children's sleep health included older age, perceived non-Dutch cultural background, lower parental pre-sleep emotional support, the parental barrier to get their child to bed on time when siblings have a later bedtime, high parental educational level, sleeping in a darkened bedroom, and being brought to bed after falling asleep. On average, children in the present study had adequate sleep health. The factors found to be associated with children's sleep health are useful for future healthy sleep research and intervention development.

Background Healthy sleep duration is essential to health and well-being in childhood and later life. Unfortunately, recent evidence shows a decline in sleep duration among children. Although effective interventions promoting healthy sleep duration require insight into its predictors, data on these factors are scarce. This study therefore investigated (i) which individual (lifestyle), social and cultural factors, and living conditions and (ii) which changes in these factors might be associated with the changes in sleep duration of Dutch primary schoolchildren observed over time. Method Data from the ChecKid study was used, a dynamic cohort study among 4–13-year-old children living in the city of Zwolle, the Netherlands. Associations between changes in sleep duration and individual (lifestyle) factors (i.e., age, sex, physical activity behavior, sugar-sweetened beverage consumption, screen behavior), social and cultural factors (i.e., parental rules, ethnicity), and living conditions (i.e., parental education, presence of screens in the bedroom, household size) were analyzed using multivariable linear regression. Results A total of 1180 children participated, aged 6.6 ± 1.4 years in 2009. Mean sleep duration decreased from 11.4 ± 0.5 h/night in 2009 to 11.0 ± 0.5 h/night in 2012. Older children, boys, children who used screens after dinner, children with greater computer/game console use, and children whose parents had low levels of education had a greater decrease in sleep duration. Conclusions This article reports on one of the first large, longitudinal cohort studies on predictors of child sleep duration. The results of the study can inform future interventions aimed at promoting healthy sleep in primary schoolchildren.

An increasing number of children experience inadequate sleep, which negatively effects their health. To promote healthy sleep among children, it is essential to understand the underlying determinants. This online concept mapping study therefore explores potential determinants of children&rsquo, s inadequate sleep as perceived by professionals with expertise in the sleep health of children aged 4&ndash, 12 years. Participants (n = 27) were divided in three groups: (1) doctors (n = 9), (2) nurses (n = 11), (3) sleep experts (n = 7). Participants generated potential determinants (i.e., ideas) of children&rsquo, s inadequate sleep. Subsequently, they sorted all ideas by relatedness and rated their importance. These data were analysed using multidimensional scaling and hierarchical cluster analysis. The results of all three groups were combined and validated by an additional group of professionals (n = 16). A large variety of perceived determinants were identified. The most important determinants perceived by all groups belonged to the categories psychosocial determinants (i.e., worrying, a change in daily life), daytime and evening activities (i.e., screen use before bedtime, stimulating game play before bedtime, inadequate amount of daytime physical activity), and pedagogical determinants (i.e., inconsistent sleep schedule, lack of a bedtime routine). These perspectives are valuable for future longitudinal studies on the determinants of children&rsquo, s sleep and the development of future healthy sleep interventions.

Background To prevent people from relapsing into unhealthy habits, insight into predictors of relapse in physical activity and dietary behavior is needed. Therefore, we aimed to explore predictors of relapse in physical activity and dietary behavior from the perspectives of health practitioners and the key population (i.e. adults who recently lost weight and experienced relapse). Methods We used concept mapping to collect data among five groups of health practitioners (N = 39) and three key population groups (N = 21). First participants’ ideas on potential predictors were collected. Subsequently, these ideas were individually sorted by relatedness and rated on importance. Concept maps were created for each group using principal component analysis and cluster analysis. Results In total 43 predictors were identified, of which the majority belonged to the individual domain compared to the environmental domain. Although the majority of perceived predictors were mentioned by both stakeholder groups, both groups had different opinions regarding the importance of predictors. Also, few predictors were mentioned by all practitioner groups, but not by the key population, and vice versa. Practitioners indicated change in daily structure, stress, lack of effective coping skills, habitual behavior, and lack of self-efficacy regarding losing weight as most important recurrent (i.e. mentioned in all practitioner groups) predictors. The key population indicated lifestyle imbalance or experiencing a life event, lack of perseverance, negative emotional state, abstinence violation effect, decrease in motivation and indulgence as most important recurrent predictors. Conclusions Both stakeholder groups predominantly rated individual factors as most important perceived predictors of relapse. The finding that both groups differed in opinion regarding importance of predictors or identified different predictors, may provide an opportunity to enhance lifestyle coaching by ensuring it is patient-centered and tailored.

Purpose: Sleeve gastrectomy (SG) is the most popular type of bariatric surgery. It has often been compared to Roux-en-Y gastric bypass (RYGB) in terms of clinical outcomes. However, health-related quality of life (HRQoL) has been sparsely studied after SG. The goal was to study HRQoL after SG using a generic (RAND-36) and an obesity-specific (impact of weight on quality of life-lite, IWQOL-lite) questionnaire and to compare the results with RYGB. Methods: HRQoL and weight were measured before and 9, 15, and 24 months after surgery. RAND-36 physical health summary (PHS) and mental health summary (MHS), and IWQOL-lite total score were calculated. A mixed model analysis was conducted to study the change in HRQoL and compare SG with RYGB. Results: A total of 219 patients (8.7%) underwent a SG and 2309 patients (91.3%) a RYGB. PHS, MHS, and IWQOL-lite significantly improved after SG when comparing baseline to all follow-up moments (p < 0.001 in all). There were no significant differences when comparing SG with RYGB: change in PHS (β − 0.10, 95% CI − 1.24 to 1.04, p = 0.861), MHS (β − 0.51, 95% CI − 1.56 to 0.52, p = 0.330), and IWQOL-lite (β 0.310, 95% CI − 0.85 to 1.47, p = 0.601). Conclusion: HRQoL significantly improved after SG. In the included populations, weight loss was comparable and the extent to which HRQoL improved did not differ between SG and RYGB, when measured with the RAND-36 or IWQOL-lite. This might be partly caused by the fact that these questionnaires do not assess specific bariatric HRQoL and/or complaints.

ObjectiveThe present study aimed to explore the mediating role of family-related determinants on the effects of the ToyBox-intervention on pre-school children’s consumption of healthy and unhealthy snacks.DesignThe ToyBox-intervention was a kindergarten-based, family-involved intervention with a cluster-randomized design, aiming to promote healthy lifestyle behaviours to prevent obesity at pre-school age.SettingKindergartens (n 309) in six European countries.SubjectsA total of 6290 pre-schoolers and their families participated in the ToyBox-intervention in 2012–2013 and data from 5212 pre-schoolers/families were included in the current analyses.ResultsEven though the total effect of the ToyBox-intervention on healthy and unhealthy snacking was not significant, the ToyBox-intervention significantly improved parental rule setting on children’s unhealthy snack consumption (i.e. restriction of snacking while watching television and permission only at certain occasions) and parental consumption of unhealthy snacks, while it increased parental knowledge on snacking recommendations. Regarding healthy snacking, the ToyBox-intervention improved children’s attitude towards fruit and vegetables (F&V). All previously mentioned family-related determinants mediated the intervention effects on pre-schoolers’ consumption of healthy and unhealthy snacks. Almost all family-related determinants examined in the study were independently associated with pre-schoolers’ consumption of healthy and unhealthy snacks.ConclusionsThe intervention was effective in improving relevant family-related determinants. Interventions aiming to promote F&V consumption and limit the consumption of unhealthy snacks in pre-schoolers should target on these mediators, but also identify new family-, school- or peer-related determinants, to enhance their effectiveness.

Aim Weight loss success is highly variable among individuals. Cluster analysis contributes to future intervention development by recognising this individual variability and identifying different weight loss patterns. Identifying determinants that differentiate between these patterns would explain the source of variability. Thus, we aimed to identify weight loss patterns and their determinants in adults with overweight and obesity. Methods The present study is a secondary analysis of data from the PortionControl@HOME study. The weight of 175 adults was measured at 0, 3 and 12 months and potential determinants were self-reported using validated questionnaires at 0 and 3 months. Weight loss patterns were identified based on percent weight change during Phase 1 (0-3 months) and Phase 2 (3-12 months) using cluster analysis. Determinants were assessed using multinomial logistic regression. Results We identified three weight loss patterns: (i) low success, demonstrating low weight loss achievement, (ii) moderate success, demonstrating successful weight loss in Phase 1 followed by partial regain in Phase 2 and (iii) high success, demonstrating weight loss in Phase 1 followed by continued weight loss in Phase 2. Compared to the moderate success pattern, the low success pattern was negatively associated with power of food at baseline (i.e. the appetitive drive to consume highly palatable food) (odds ratio, OR = 0.42, 95% CI = 0.21-0.86) and change in portion control behaviour (i.e. the use of behavioural strategies to control the amount of food consumed) (OR = 0.28, 95% CI = 0.10-0.78). Conclusions Three weight loss patterns were identified in adults with overweight and obesity. Adults with greater power of food and increased portion control behaviour were less likely to exhibit an unsuccessful weight loss pattern.

These longitudinal studies in older adults targeted mediated relationships between habit and physical activity (PA). In The Netherlands two independent studies were conducted among 1976 (Study 1: Mage = 63.63, SD = 8.66, 30% functional limitations) and 2140 (Study 2: Mage = 62.75, SD = 8.57, 45% functional limitations) adults aged 50 years or older. Cross-lagged panel designs were applied to examine whether habit mediates the relationship between prior and later PA and whether PA simultaneously mediates the relationship between prior and later habit. Data on habit and PA were collected by means of questionnaires at baseline (t0) and at 6 (t1) and 12 (t2) months after baseline measurement. Results of structural equation modeling analyses were not unambiguous. Indications for the existence of both hypothesized mediation effects were found, but no clear, unequivocal pattern appeared. Somewhat more support was found for the PA-habit-PA path than for the habit-PA-habit path. More research is needed to draw more definitive conclusions.

Introduction The prevalence and clinical significance of weight regain after bariatric surgery remains largely unclear due to the lack of a standardized definition of significant weight regain. The development of a clinically relevant definition of weight regain requires a better understanding of its clinical significance. Objectives To assess rates of weight regain 5 years after Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG), applying six definitions and investigating their association with clinical outcomes. Methods Patients were followed up until 5 years after surgery and weight regain was calculated. Regression techniques were used to assess the association of weight regain with health-related quality of life (HRQoL) and the presence of comorbidities. Results A total of 868 patients participated in the study, with a mean age of 46.6 (± 10.4) years, of which 79% were female. The average preoperative BMI was 44.8 (± 5.9) kg/m2 and the total maximum weight loss was 32% (± 8%). Eighty-seven percent experienced any regain. Significant weight regain rates ranged from 16 to 37% depending on the definition. Three weight regain definitions were associated with deterioration in physical HRQoL (p Conclusion These results indicate that identifying one single categorical definition of clinically significant weight regain is difficult. Additional research into the clinical significance of weight regain is needed to inform the development of a standardized definition that includes all dimensions of surgery success: weight, HRQoL, and comorbidity remission.

Purpose: To gain more insight into the optimal strategy to achieve weight loss and weight loss maintenance in overweight and obese cancer survivors after completion of initial treatment, this systematic review aimed to provide an overview of the literature on intervention effects on weight, to describe intervention components used in effective interventions, to identify and synthesize behaviour change techniques (BCTs) and to assess the frequency with which these BCTs were used in effective interventions. Methods: Six databases were searched for original research articles describing weight changes in adult overweight cancer survivors after participation in a lifestyle intervention initiated after completion of initial treatment. Two researchers independently screened the retrieved papers and extracted BCTs using the BCT Taxonomy version 1. Results: Thirty-two papers describing 27 interventions were included. Interventions that were evaluated with a robust study design (n = 8) generally showed

Objectives Physical activity is associated with many health benefits that are important for older adults. These health benefits can only be obtained and preserved when physical activity is maintained over a long period of time. Habit formation has been proposed as a way to ensure long-term maintenance of physical activity. Intention, action planning, and physical activity are suggested to be determinants of physical activity habits. However, how they determine physical activity habits in older adults is largely unknown. This study examined whether the relationship between intention and habit is mediated by action planning and/or physical activity. Design A four-wave prospective design was used. Methods Two independent studies were conducted in 469 (Study 1; Mage = 63.07, SDage = 7.61) and 322 (Study 2; Mage = 64.31, SDage = 9.39) older adults. Study 2 was conducted with the aim of replicating findings of Study 1. In both studies the older adults completed questionnaires on intention, physical activity, and habit at baseline, action planning at three months, physical activity at six months, and habit at twelve months. Results Structural equation modeling analyses showed significant intention-physical activity-habit paths, nonsignificant intention-action planning-habit paths, and nonsignificant intention-action planning-physical activity-habit paths in both studies. Conclusions The relationship between physical activity habit and intention was mediated by physical activity. Intention was neither associated with habit via action planning as a single mediator, nor via action planning and physical activity as sequential mediators. Possible conditions under which intention-action planning-habit paths and intention-action planning-physical activity-habit paths exist are discussed.

To develop evidence-based healthy sleep interventions for children, this review provides insight into the behavioral determinants of sleep behavior. Hence the objective of this review is to systematically review the longitudinal evidence on determinants of children's sleep behavior. Studies were identified from searches in PubMed, PsycINFO, and Web of Science, until January 2017. Longitudinal studies investigating the association between potential determinants and sleep behavior (duration, quality and timing) in healthy children aged 4–12 years were included. The methodological quality was scored and the results were summarized using a best-evidence synthesis. We followed the PRISMA statement guidelines in order to summarize the evidence accurately and reliably. Twelve of the 45 included studies were rated as ‘high quality’. We found strong evidence for child age and moderate evidence for screen time, past sleep behavior, and a difficult temperament as determinant of sleep duration. For determinants of sleep quality, evidence was either insufficient or inconsistent. We found moderate evidence for week schedule as a determinant of sleep timing, with later bed- and wake times in weekends. More high quality studies, which are extensive, collaborative, and multidisciplinary, are needed into the determinants of all dimensions of sleep behavior.

Weight loss success is highly variable among individuals. Cluster analysis contributes to future intervention development by recognising this individual variability and identifying different weight loss patterns. Identifying determinants that differentiate between these patterns would explain the source of variability. Thus, we aimed to identify weight loss patterns and their determinants in adults with overweight and obesity.The present study is a secondary analysis of data from the PortionControl@HOME study. The weight of 175 adults was measured at 0, 3 and 12 months and potential determinants were self-reported using validated questionnaires at 0 and 3 months. Weight loss patterns were identified based on percent weight change during Phase 1 (0-3 months) and Phase 2 (3-12 months) using cluster analysis. Determinants were assessed using multinomial logistic regression.We identified three weight loss patterns: (i) low success, demonstrating low weight loss achievement, (ii) moderate success, demonstrating successful weight loss in Phase 1 followed by partial regain in Phase 2 and (iii) high success, demonstrating weight loss in Phase 1 followed by continued weight loss in Phase 2. Compared to the moderate success pattern, the low success pattern was negatively associated with power of food at baseline (i.e. the appetitive drive to consume highly palatable food) (odds ratio, OR = 0.42, 95% CI = 0.21-0.86) and change in portion control behaviour (i.e. the use of behavioural strategies to control the amount of food consumed) (OR = 0.28, 95% CI = 0.10-0.78).Three weight loss patterns were identified in adults with overweight and obesity. Adults with greater power of food and increased portion control behaviour were less likely to exhibit an unsuccessful weight loss pattern.

BACKGROUND: The ToyBox-intervention has increased preschool children's water consumption. This study aimed to examine if family-related determinants mediate the effects of the ToyBox-intervention on preschoolers' water consumption. METHODS: Overall, 6290 preschoolers and their families from 6 European countries participated in the ToyBox-intervention and returned parental questionnaires in May/June 2012 and 2013. This study included the 3725 preschoolers/families who had complete data on water consumption, all mediators, and confounders. Mediation effects were assessed with bootstrapping procedure. RESULTS: Regarding the intervention effects on family-related determinants, the ToyBox-intervention significantly increased water availability during meals, parental water consumption, parental encouragement to their children to drink water, and parental knowledge on water recommendations. In the multiple mediator model, all factors were independently associated with preschoolers' water consumption and mediated the intervention effect on preschoolers' water consumption (total mediation effect = 40%). After including all mediators into the model, the direct intervention effect remained significant. CONCLUSIONS: The effect of the ToyBox-intervention on preschool children's water consumption was mediated by most family-related determinants examined in this study (ie, availability, parental modeling, parental encouragement, and parental knowledge). Interventions aiming to promote water in preschoolers should target these mediators to enhance their effectiveness.

Many children do not meet the recommendations for healthy sleep, which is concerning given the potential negative effects on children&rsquo, s health. To promote healthy sleep, it is crucial to understand its determinants. This concept mapping study therefore explores perspectives of children and parents on potential determinants of children&rsquo, s inadequate sleep. The focus lies on 9&ndash, 12 year old children (n = 45), and their parents (n = 33), from low socioeconomic neighbourhoods, as these children run a higher risk of living in a sleep-disturbing environment (e.g., worries, noise). All participants generated potential reasons (i.e., ideas) for children&rsquo, s inadequate sleep. Next, participants sorted all ideas by relatedness and rated their importance. Subsequently, multidimensional scaling and hierarchical cluster analyses were performed to create clusters of ideas for children and parents separately. Children and parents both identified psychological (i.e., fear, affective state, stressful situation), social environmental (i.e., sleep schedule, family sleep habits), behavioural (i.e., screen behaviour, physical activity, diet), physical environmental (i.e., sleep environment such as temperature, noise, light), and physiological (i.e., physical well-being) determinants. These insights may be valuable for the development of future healthy sleep interventions.

Objectives: This study aims to describe the time devoted to sedentary and physical activities at school in five European countries and to examine differences according to country, sex, ethnicity, parental education and weight status. Design: cross-European cross-sectional survey. Methods: Primary schoolchildren (n=1025) aged 10-12 years in Belgium, Greece, Hungary, the Netherlands, and Switzerland wore accelerometers for at least six consecutive days. Only weekdays were used for this study to calculate the percentages of school-time spent in sedentary activities and moderate to vigorous intensity activity. Trained research assistants measured height and weight. Sex and date of birth were self-reported by the child and parental education and ethnicity were parent-reported. Results: European schoolchildren spent on average 65% of their time at school in sedentary activities and 5% on moderate to vigorous intensity activities, with small differences between countries. Girls spent a significant larger amount of school-time in sedentary activities (67%) than boys (63%; p

Objective The aim of the study was to evaluate mediating effects of energy balance-related behaviors on measures of adiposity in the Dutch Obesity Intervention in Teenagers-study (DOiT). Design and Methods DOiT was an 8-month behavioral intervention program consisting of educational and environmental components and evaluated in 18 prevocational secondary schools in the Netherlands (n = 1,108, baseline age 12.7 years, 50% girls). Outcome measures were changes in body mass index (BMI), waist circumference, and sum of skinfold thickness. Self-reported consumption of sugar-containing beverages and high caloric snacks, active transport to/from school, and screen-viewing behaviors were the hypothesized mediators. Data were collected at 0, 8, 12, and 20 months. For the data analysis, parallel process latent growth modeling was used. Results Total sugar-containing beverages consumption mediated the intervention effects on BMI (ab = −0.01, 95%CI = −0.20, −0.001). The intervention group lowered their sugar-containing beverages consumption more than controls (B = −0.14, 95%CI = −0.22, −0.11) and this, in turn, led to smaller increases in BMI. No significant mediated effect by the targeted behaviors was found for waist circumference or sum of skinfolds. Conclusions Future school-based overweight prevention interventions may target decreasing sugar-containing beverages consumption.

CAMERON, A. J., M. M. VAN STRALEN, A. E. KUNST, S. J. TE VELDE, F. J. VAN LENTHE, J. SALMON, and J. BRUG. Macroenvironmental Factors Including GDP per Capita and Physical Activity in Europe. Med. Sci. Sports Exerc., Vol. 45, No. 2, pp. 278–285, 2013. Purpose: Socioeconomic inequalities in physical activity at the individual level are well reported. Whether inequalities in economic development and other macroenvironmental variables between countries are also related to physical activity at the country level is comparatively unstudied. Methods: We examined the relationship between country-level data on macroenvironmental factors (gross domestic product (GDP) per capita, public sector expenditure on health, percentage living in urban areas, and cars per 1000 population) with country-level physical activity prevalence obtained from previous pan-European studies. Studies that assessed leisuretime physical activity (n = 3 studies including 27 countries in adults, n = 2 studies including 28 countries in children) and total physical activity (n = 3 studies in adults including 16 countries) were analyzed separately as were studies among adults and children. Results :S trong and consistent positive correlations were observed between country prevalence of leisure-time physical activity and country GDP per capita in adults (average r = 0.70; all studies, P G 0.05). In multivariate analysis, country prevalence of leisure-time physical activity among adults remained associated with country GDP per capita (two of three studies) but not urbanization or educational attainment. Among school-age populations, no association was found between country GDP per capita and country prevalence of leisure-time physical activity. In those studies that assessed total physical activity (which also includes occupational and transport physical activity), no association with country GDP per capita was observed. Conclusion: Clear differences in national leisure-time physical activity levels throughout Europe may be a consequence of economic development. Lack of economic development of some countries in Europe may make increasing leisure-time physical activity more difficult. Further examination of the link between country GDP per capita and national physical activity levels (across

The aim of this review was to systematically review the results and quality of studies investigating the moderators of school-based interventions aimed at energy balance-related behaviors. We systematically searched the electronic databases of Pubmed, EMBASE, Cochrane, PsycInfo, ERIC and Sportdiscus. In total 61 articles were included. Gender, ethnicity, age, baseline values of outcomes, initial weight status and socioeconomic status were the most frequently studied potential moderators. The moderator with the most convincing evidence was gender. School-based interventions appear to work better for girls than for boys. Due to the inconsistent results, many studies reporting non-significant moderating effects, and the moderate methodological quality of most studies, no further consistent results were found. Consequently, there is lack of insight into what interventions work for whom. Future studies should apply stronger methodology to test moderating effects of important potential target group segmentations.

Purpose The aim of the present study was to investigate the effect of the JUMP-in programme on sports participation, overall physical activity (PA), shuttle run score and body composition in 6–12-year-old children. Methods JUMP-in is a school-based strategy combining environmental policy, neighbourhood, parents- and personal components. A controlled trial was carried out in 19 primary schools including 2848 children (50% boys). Measures were performed at the beginning of the first school year (T0: 2006) and repeated at the end of the first (T1: 2007) and second school year (T2: 2008). Results A significant beneficial intervention effect was found on organised sports participation (OR 2.8 (2.2 to 3.6)). Effects were stronger for girls (OR 3.6 (2.3 to 5.6)), and for Moroccan (OR 4.2 (3.6 to 5.7)) and Turkish children (OR 3.2 (1.9 to 5.2)). Participation in organised sports was associated with increased shuttle run score. No significant intervention effects on overall daily PA rates and body composition were observed. Conclusion The present study proves that a school-based strategy combining environmental and personal interventions was successful in improving structural sports participation among children.

Safety in sports and physical activity is an important prerequisite for continuing participation in sports, as well as for maintenance of a healthy physically active lifestyle. For this reason, prevention, reduction and control of sports injuries are important goals for society as a whole. Recent advances in sports medicine discuss the need for research on real-life injury prevention. Such views call for a more behavioural approach when it comes to actual sports injury prevention. Nevertheless, the role of behaviour in sports injury prevention remains under-researched. In order to push the field of sports injury prevention forward, this article provides an overview of the relationship between behaviour and sports injury risk. Different types of behaviour relate to injury risk factors and injury mechanisms. Behaviour that influences risk factors and injury mechanisms is not confined only to the athlete. Various types of behaviour by, for example, the coach, referee, physical therapist or sports associations, also influence risk factors and injury mechanisms. In addition, multiple behaviours often act together. Some types of behaviour may directly affect injury risk and are by definition a risk factor. Other behaviours may only affect risk factors and injury mechanisms, and influence injury risk indirectly. Recent ideas on injury prevention that call for studies on real-life injury prevention still rely heavily on preventive measures that are established through efficacy research. A serious limitation in such an approach is that one expects that proven preventive measures will be adopted if the determinants and influences of sports safety behaviours are understood. Therefore, if one truly wants to prevent sports injuries in a real-life situation, a broader research focus is needed. In trying to do so, we need to look at lessons learned from other fields of injury prevention research.

Important health benefits can be derived when low-cost (e.g., computer-tailored) physical activity interventions for older adults demonstrate sustained effects. The purpose of the study was to conduct in-depth analysis on the long-term efficacy of two tailored physical activity interventions for older adults. A randomized controlled trial (n = 1,971) with two computer-tailored interventions and a no-intervention control group was conducted. The two tailored interventions consisted of three tailored letters, delivered during 4 months. The basic tailored intervention targeted psychosocial determinants alone, while the environmentally tailored intervention additionally targeted environmental determinants, by providing tailored environmental information. Self-reported behaviors (i.e., total physical activity, transport walking and cycling, leisure walking and cycling, and sports) were measured at baseline and 12 months. Additionally, potential personal, health-related, and psychosocial moderators of the intervention effects were examined. The environmentally tailored intervention was effective in changing total physical activity, leisure cycling, and sports compared with the basic intervention and control group. No intervention effects were found for the basic intervention. Moderation analysis revealed that participants with a higher age, lower body mass index, and higher intention were unresponsive to the interventions. Providing environmental information is an effective intervention strategy for increasing physical activity behaviors among older adults, especially among certain "at-risk" subgroups such as lower educated, overweight, or insufficiently active participants. Moderation analysis was perceived as a promising method for identifying meaningful subgroups that are unaffected by an intervention, which should receive special attention in future interventions.

Background Important health benefits can be obtained if effective low-cost interventions promoting physical activity, especially among older adults, are developed. Design This RCT investigated the efficacy of two tailored physical activity interventions in promoting awareness, initiation, and maintenance of physical activity among older adults compared to a wait-list control group. Data were collected in 2007. Analyses were conducted in 2008. Setting/participants In total, 1971 Dutch older adults (mean age=64 years, 57% women) participated. Intervention Two tailored physical activity interventions, consisting of three tailored letters delivered during 4 months, were systematically developed. The basic tailored intervention targeted psychosocial determinants alone, while the environmentally tailored intervention (intervention-plus) additionally targeted environmental determinants. Main outcome measures Awareness of personal physical activity behavior, self-reported level of physical activity, and compliance with the physical activity guideline were assessed at baseline, 3 months, and 6 months. Results Intervention participants became more aware of their personal physical activity level at 6 months (OR Ibasic =1.7, OR Iplus =1.6) and were significantly more physically active at 3 (EffectSize[ES] Ibasic =0.20, ES Iplus =0.20) and 6 months (ES Ibasic =0.30, ES Iplus =0.35) when compared to control participants. Moderation analyses showed that the interventions enhanced physical activity initiation at 3 (ES Ibasic =0.26, ES Iplus =0.21) and 6 months (ES Ibasic =0.32, ES Iplus =0.27) among participants insufficiently active at baseline, and induced maintenance at 6 months among participants sufficiently active at baseline (ES Ibasic =0.33, ES Iplus =0.34) when compared to the control condition. No differences between the intervention arms were found. Conclusions The results indicate that tailoring can be an effective tool in attaining and enhancing awareness, initiation, and maintenance of physical activity among older adults. Targeting environmental determinants in addition to psychosocial determinants, however, did not result in an additional increase in physical activity behavior. Trial registration This study was registered with the Dutch Trial Register NTR 920.

Understanding the determinants of changing physical activity among older adults is crucial for effective intervention development. The aim of this study was to review and update the evidence relating to the determinants of physical activity initiation and maintenance among older adults, and to explore the main similarities and dissimilarities in determinants between the two phases. Only longitudinal and experimental studies were used to assess the level of evidence. Fifty-nine longitudinal observational and experimental studies were identified. Recent studies were identified that focused on some recently developed concepts, especially in the field of the post-motivational concepts and several environmental determinants in predicting physical activity initiation and maintenance. Furthermore, dissimilarities were found in determinants between physical activity initiation and maintenance. It can be concluded that determinants are to a large degree phase-specific, which should be taken into account d...

Background: Walking is recognized as an easily accessible mode of physical activity and is therefore supported as a strategy to promote health and well-being. To complement walking, pedometers have been identified as a useful tool for monitoring ambulatory physical activity, typically measuring total steps/day. There is, however, little information concerning dose-response for health outcomes in relation to intensity or duration of sustained steps. We aimed to examine this relationship, along with factors that mediate it, among employed adults. Methods: A convenience sample, recruited from work-site health risk screening (N = 312, 37 ± 9 yrs), wore a pedometer for at least three consecutive days. Steps were classified as "aerobic" (≥100 steps/minute and ≥10 consecutive minutes) or "non-aerobic" (

BACKGROUND: The transition from adolescence to early adulthood is a critical period in which there is a decline in physical activity (PA). College and university students make up a large segment of this age group. Smartphones may be used to promote and support PA. The purpose of this qualitative study was to explore Dutch students' preferences regarding a PA application (PA app) for smartphones.METHODS: Thirty Dutch students (aged 18-25 years) used a PA app for three weeks and subsequently attended a focus group discussion (k = 5). To streamline the discussion, a discussion guide was developed covering seven main topics, including general app usage, usage and appreciation of the PA app, appreciation of and preferences for its features and the sharing of PA accomplishments through social media. The discussions were audio and video recorded, transcribed and analysed according to conventional content analysis.RESULTS: The participants, aged 21 ± 2 years, were primarily female (67%). Several themes emerged: app usage, technical aspects, PA assessment, coaching aspects and sharing through social media. Participants most often used social networking apps (e.g., Facebook or Twitter), communication apps (e.g., WhatsApp) and content apps (e.g., news reports or weather forecasts). They preferred a simple and structured layout without unnecessary features. Ideally, the PA app should enable users to tailor it to their personal preferences by including the ability to hide features. Participants preferred a companion website for detailed information about their accomplishments and progress, and they liked tracking their workout using GPS. They preferred PA apps that coached and motivated them and provided tailored feedback toward personally set goals. They appreciated PA apps that enabled competition with friends by ranking or earning rewards, but only if the reward system was transparent. They were not willing to share their regular PA accomplishments through social media unless they were exceptionally positive.CONCLUSIONS: Participants prefer PA apps that coach and motivate them, that provide tailored feedback toward personally set goals and that allow competition with friends.

Objectives Habit has been proposed as an explanation of why prior behavior is a good predictor of later behavior. This study examined whether habit mediates the relationship between prior and later physical activity (PA), within the framework of the attitude-social influences-efficacy (ASE) model and the theory of planned behavior (TPB). Design A longitudinal design was used. Methods A total of 1976 older adults completed questionnaires on ASE/TPB constructs and PA at baseline, intention at three months, habit at six months, and PA at twelve months. Results Path analyses showed that habit significantly mediates the relationship between prior and later PA, after ASE/TPB variables were taken into account. Conclusions Habit is a partial solution to the question why prior PA is a good predictor of later PA. It is recommended to incorporate habit into the ASE/TPB model.

Background Screen-related behaviours are highly prevalent in schoolchildren. Considering the adverse health effects and the relation of obesity and screen time in childhood, efforts to affect screen use in children are warranted. Parents have been identified as an important influence on children’s screen time and therefore should be involved in prevention programmes. The aim was to examine the mediating role of family-related factors on the effects of the school-based family-focused UP4FUN intervention aimed at screen time in 10- to 12-year-old European children (n child–parent dyads = 1940). Methods A randomised controlled trial was conducted to test the six-week UP4FUN intervention in 10- to 12-year-old children and one of their parents in five European countries in 2011 (n child–parent dyads = 1940). Self-reported data of children were used to assess their TV and computer/game console time per day, and parents reported their physical activity, screen time and family-related factors associated with screen behaviours (availability, permissiveness, monitoring, negotiation, rules, avoiding negative role modeling, and frequency of physically active family excursions). Mediation analyses were performed using multi-level regression analyses (child-school-country). Results Almost all TV-specific and half of the computer-specific family-related factors were associated with children’s screen time. However, the measured family-related factors did not mediate intervention effects on children’s TV and computer/game console use, because the intervention was not successful in changing these family-related factors. Conclusion Future screen-related interventions should aim to effectively target the home environment and parents’ practices related to children’s use of TV and computers to decrease children’s screen time. Trial registration The study is registered in the International Standard Randomised Controlled Trial Number Register (registration number: ISRCTN34562078 ).

Background: This study assessed the role of habits and previous behavior in predicting fruit consumption as well as their additional predictive contribution besides socio-demographic and motivational factors. In the literature, habits are proposed as a stable construct that needs to be controlled for in longitudinal analyses that predict behavior. The aim of this study is to provide empirical evidence for the inclusion of either previous behavior or habits. Methods. A random sample of 806 Dutch adults (>18 years) was invited by an online survey panel of a private research company to participate in an online study on fruit consumption. A longitudinal design (N = 574) was used with assessments at baseline and after one (T2) and two months (T3). Multivariate linear regression analysis was used to assess the differential value of habit and previous behavior in the prediction of fruit consumption. Results: Eighty percent of habit strength could be explained by habit strength one month earlier, and 64% of fruit consumption could be explained by fruit consumption one month earlier. Regression analyses revealed that the model with motivational constructs explained 41% of the behavioral variance at T2 and 38% at T3. The addition of previous behavior and habit increased the explained variance up to 66% at T2 and to 59% at T3. Inclusion of these factors resulted in non-significant contributions of the motivational constructs. Furthermore, our findings showed that the effect of habit strength on future behavior was to a large extent mediated by previous behavior. Conclusions: Both habit and previous behavior are important as predictors of future behavior, and as educational objectives for behavior change programs. Our results revealed less stability for the constructs over time than expected. Habit strength was to a large extent mediated by previous behavior and our results do not strongly suggest a need for the inclusion of both constructs. Future research needs to assess the conditions that determine direct influences of both previous behavior and habit, since these influences may differ per type of health behavior, per context stability in which the behavior is performed, and per time frame used for predicting future behavior. © 2014 de Vries et al.; licensee BioMed Central Ltd.

Background To improve effectiveness of future screen behaviour interventions, one needs to know whether an intervention works via the proposed mediating mechanisms and whether the intervention is equally effective among subgroups. Parental regulation is identified as a consistent correlate of screen behaviours, but prospective evidence as well as the mediation role of parental regulation is largely lacking. This study investigated post-intervention main effects on screen behaviours in the HEIA-intervention – a Norwegian school-based multiple-behaviour study, as well as mediation effects of parental regulation by adolescents’ and parents’ report. In addition, moderating effects of gender and weight status on the intervention and mediating effects were explored. Methods Participating schools were randomized to control (n = 25) or intervention (n = 12) condition. Adolescents (n = 908 Control; 510 Intervention) self-reported their weekday and weekend TV-viewing and computer/game-use. Change in adolescents’ behaviours was targeted through school and parents. Adolescents, mothers (n = 591 Control; 244 Interventions) and fathers (n = 469 Control; 199 Intervention) reported parental regulation of the screen behaviours post-intervention (at 20 month). The product-of-coefficient test using linear regression analysis was conducted to examine main and mediating effects. Results There was no intervention effect on the screen behaviours in the total sample. Gender moderated effect on weekend computer/game-use, while weight status moderated the effect on weekday TV-viewing and computer/game-use. Stratified analyses showed a small favourable intervention effect on weekday TV-viewing among the normal weight. Parental regulation did not mediate change in the screen behaviours. However, stronger parental regulation was associated with less TV-viewing and computer/game-use with effects being conditional on adolescents’ versus parental reports. Parental regulation of the screen behaviours, primarily by the parental report, was associated with change in the respective behaviours. Conclusion Multiple behaviour intervention may not affect all equally well, and the effect may differ by weight status and gender. In future interventions parents should be encouraged to regulate their adolescents’ TV-viewing and computer/game-use on both weekdays and weekends as parental regulation was identified as a determinant of these screen behaviours. However, future intervention studies may need to search for more effective intervention strategies targeting parental regulation. Trial registration Current Controlled Trials ISRCTN98552879

ObjectiveTo explore the influences of migration to a Western country on obesity and related risk factors by comparing measures of body composition and energy balance-related behaviours between Turkish adolescents in Turkey (TR-TR) and adolescents from Turkish immigrant ethnicity in the Netherlands (TR-NL).DesignCross-sectional survey or baseline intervention data from six Dutch school-based studies and one Turkish study.SettingPrimary and secondary schools.SubjectsA total of 915 (49 % girls; mean age 13·1 (sd 0·8) years) TR-TR adolescents and 433 (51 % girls; mean age 11·7 (sd 1·3) years) TR-NL adolescents were included. Outcome measures were self-reported sugar-containing beverage consumption, fruit and vegetable intake, screen time, physical activity, measured body height and weight, BMI, waist and hip circumferences, and skinfold thicknesses.ResultsOur data showed that more TR-NL adolescents were overweight (31 % v. 26 %) and obese (9 % v. 6 %) and had significantly higher mean BMI (21·1 v. 20·0 kg/m2), waist circumference (72·2 v. 71·3 cm) and suprailiac skinfold thickness (19·8 v. 13·1 mm) than TR-TR adolescents. TR-NL adolescents reported significantly higher sugar-containing beverage consumption (1173 v. 115 ml/d), less fruit and vegetable intake (295 v. 647 g/d), less screen time (253 v. 467 min/d) and higher physical activity levels (61 v. 27 min/d) than TR-TR adolescents.ConclusionsImmigrant adolescents in the Netherlands were more often overweight and had a less favourable dietary pattern than their peers in Turkey, while their physical activity and screen time patterns were more favourable. These results suggest that adolescents from Turkish immigrant ethnicity in the Netherlands have adopted lifestyles towards the host culture.

Background Parents and their parenting practices play an important role in shaping their children’s environment and energy-balance related behaviours (EBRBs). Measurement of parenting practices can be parent- or child-informed, however not much is known about agreement between parent and child perspectives. This study aimed to assess agreement between parent and child reports on parental practices regarding EBRBs across different countries in Europe and to identify correlates of agreement. Methods Within the ENERGY-project, a cross-sectional survey was conducted among 10–12 year old children and their parents in eight European countries. Both children and parents filled in a questionnaire on 14 parental practices regarding five different EBRBs (i.e. soft drink, fruit juice and breakfast consumption, sports activity and watching TV) and socio-demographic characteristics. Children’s anthropometric measurements were taken at school. We calculated percentages of agreement between children and their parents and weighted kappa statistics (for ordinal variables) per practice and country and assessed factors associated with agreement using multilevel linear regression. Results Reports of 6425 children and their parents were available for analysis. Overall mean agreement between parent and child reports was 43% and varied little among countries. The lowest agreement was found for questions assessing joint parent–child activities, such as sports (27%; Kappa (κ) = 0.14) or watching TV (30%;κ = 0.17), and for parental allowance of the child to have soft drinks (32%;κ = 0.24) or fruit juices (32%;κ = 0.19), or to watch TV (27%;κ = 0.17). Having breakfast products available at home or having a TV in the child’s bedroom were the only practices with moderate to good agreement (>60%;κ = 0.06 and 0.77, respectively). In general, agreement was lower for boys, younger children, younger parents, parents with less than 14 years of education, single parents, parents with a higher self-reported body mass index and parents who perceived their child to be underweight. Conclusions Parents and children perceive parental practices regarding dietary, physical activity and sedentary behaviours differently in all parts of Europe, with considerable variation across specific practices and countries. Therefore, future studies should assess both, parents and children’s view on parental practices. Electronic supplementary material The online version of this article (doi:10.1186/1471-2458-14-918) contains supplementary material, which is available to authorized users.

Background To explore differences in personal and home environmental factors that are regarded as determinants of energy balance-related behaviors (EBRBs) according to parental education and ethnic background among 10–12 year old schoolchildren across Europe. Methods A school-based survey among 10–12 year olds was conducted in eight countries across Europe. A range of personal and home environment variables relevant for soft drink consumption, daily breakfast, sport participation and TV time was assessed by means of child report. Personal factors included attitude, health beliefs, and preference/liking. Home environment factors included parental subjective norm, modeling, support, practices and home availability. Children were classified based on parental education (i.e., low vs. high) and ethnic background (i.e., native vs. non-native). Data from 6018 children originating from 83 schools were included in the analyses. Results Multilevel logistic regression analyses showed that the majority of the factors tested –and especially home environment variables- were more favorable among children from higher educated parents and from native ethnicity. None of the personal and home environment factors was found to be more favorable among children from lower educated parents or non-native ethnicity. Conclusions The present study indicates that schoolchildren from lower educated and non-native parents across Europe have EBRB-related beliefs and are exposed to home environments that are less favorable for engagement in healthy EBRBs.

The school is an important setting for promoting healthy eating especially at the transition from childhood to adolescence. This study contributes to the literature by describing practices within physical, political and sociocultural aspects of the school nutrition environment in seven countries across Europe based on questionnaires to the school management, and exploring their associations with soft drink consumption reported on questionnaires by 10-12 year olds. Several of the commonly self-reported practices could be supportive of a healthy diet (time to eat, access to water, restriction on marketing), but some practices were underutilized (i.e. discussion with stakeholders, healthy foods at events). Only a few associations of practices with the pupils' soft drink consumption were found. © 2014 Elsevier Ltd.

This longitudinal study examined whether habit strength moderates the intention-physical activity (PA) relationship in older adults, within the framework of the attitude-social influences-efficacy (ASE) model and the theory of planned behaviour (TPB). A total of 1836 older adults (Mage = 62.95 years, SDage = 8.17) completed a questionnaire on social cognitive constructs and PA habit strength at baseline, and six months later a measure of PA. Three PA habit groups (i.e., low, medium and high) were composed, based on tertiles of the mean index score. Multi-group structural equation modelling analyses showed that intention significantly determined PA behaviour only in participants with a low or medium habit strength towards PA. This result suggests that PA is not intentional at high levels of habit strength and demonstrates the usefulness of incorporating habit in the ASE and TPB models. Results also showed that about half of the participants with a strong PA habit did not meet the recommended PA level. As strong habits may prevent intentional behavioural change and may hinder the receptiveness and openness for informational PA change strategies, additional intervention strategies, such as awareness raising and the use of implementation intentions, are needed for strongly habitual, but insufficiently active older adults.