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Background: This study evaluated the effect of the school-based intervention Charge Your Brainzzz on adolescents' social-cognitive determinants, sleep hygiene and sleep duration and quality. Methods: A cluster-randomized controlled trial was conducted with 972 students from 10 Dutch high schools. Schools were randomly allocated to the intervention (N = 5) or control condition (N = 5). Outcomes were measured with the digital Consensus Sleep Diary and via a digital questionnaire, based on valid measures. Data were collected at baseline (T0), ±1.5 weeks post-intervention (T1) and ±3 months post-intervention (T2). Mixed model analyses were performed to estimate the effects on social-cognitive determinants, sleep hygiene, and sleep outcomes. Results: The intervention increased sleep knowledge post-intervention (b = 1.91; 95%CI: 1.22-2.60) and at follow up (b = 1.40; 95%CI: 0.70-2.10). The intervention was also effective in changing adolescents' attitudes (b = 0.10; 95%CI: 0.01-0.19) and perceived behavioral control (b = 0.11; 95%CI: 0.01-0.22) post-intervention. No positive changes were found regarding subjective norms, behavioral intentions, sleep hygiene, or sleep outcomes. Conclusions: The intervention improved adolescents' sleep knowledge, attitude, and perceived behavioral control. To significantly impact sleep health, theoretically sound and systematically developed interventions are needed which take into account the interplay between sleep, sleep-related behaviors, and adolescents' social and physical environment.

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.

Summary: 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. [ABSTRACT FROM AUTHOR]

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. 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. Lapse and relapse in physical activity and dietary behaviour. 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. 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. [ABSTRACT FROM AUTHOR]

Preventing people from relapsing into unhealthy habits requires insight into predictors of relapse in weight loss maintenance behaviors. We aimed to explore predictors of relapse in physical activity and dietary behavior from the perspectives of health practitioners and persons who regained weight, and identify new predictors of relapse beyond existing knowledge. We used concept mapping to collect data, by organizing eight concept mapping sessions among health practitioners (N=39, five groups) and persons who regained weight (N=21, three groups). At the start of each session, we collected participants' ideas on potential predictors. Subsequently, participants individually sorted these ideas by relatedness and rated them on importance. We created concept maps using principal component analysis and cluster analysis. 43 predictors were identified, of which the majority belonged to the individual domain rather than the environmental domain. Although the majority of predictors were mentioned by both stakeholder groups, both groups had different opinions regarding their importance. Also, some predictors were mentioned by only one of the two stakeholder groups. Practitioners indicated change in daily structure, stress, maladaptive coping skills, habitual behavior, and lack of self-efficacy regarding weight loss maintenance as most important recurrent (mentioned in all groups) predictors. Persons who regained weight 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. For several predictors associations with relapse were shown in prior research; additionally, some new predictors were identified that have not been directly associated with relapse in weight loss maintenance behaviors. Our finding that both groups differed in opinion regarding the importance of predictors or identified different predictors, may provide an opportunity to enhance lifestyle coaching by creating more awareness of these possible discrepancies and including both points of view during coaching. [ABSTRACT FROM AUTHOR]

BACKGROUND: This study evaluated the effect of the school‐based intervention Charge Your Brainzzz on adolescents' social‐cognitive determinants, sleep hygiene and sleep duration and quality. METHODS: A cluster‐randomized controlled trial was conducted with 972 students from 10 Dutch high schools. Schools were randomly allocated to the intervention (N = 5) or control condition (N = 5). Outcomes were measured with the digital Consensus Sleep Diary and via a digital questionnaire, based on valid measures. Data were collected at baseline (T0), ±1.5 weeks post‐intervention (T1) and ±3 months post‐intervention (T2). Mixed model analyses were performed to estimate the effects on social‐cognitive determinants, sleep hygiene, and sleep outcomes. RESULTS: The intervention increased sleep knowledge post‐intervention (b = 1.91; 95%CI: 1.22‐2.60) and at follow up (b = 1.40; 95%CI: 0.70‐2.10). The intervention was also effective in changing adolescents' attitudes (b = 0.10; 95%CI: 0.01‐0.19) and perceived behavioral control (b = 0.11; 95%CI: 0.01‐0.22) post‐intervention. No positive changes were found regarding subjective norms, behavioral intentions, sleep hygiene, or sleep outcomes. CONCLUSIONS: The intervention improved adolescents' sleep knowledge, attitude, and perceived behavioral control. To significantly impact sleep health, theoretically sound and systematically developed interventions are needed which take into account the interplay between sleep, sleep‐related behaviors, and adolescents' social and physical environment. CLINICAL TRIAL REGISTRATION: Trial name: Evaluation of the school‐based intervention Charge Your Brainzzz promoting sleep in adolescents; URL: https://doi.org/10.1186/ISRCTN36701918; ID: ISRCTN36701918. [ABSTRACT FROM AUTHOR]

Summary: 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. [ABSTRACT FROM AUTHOR]

BackgroundThe Active Plus project is a systematically developed theory- and evidence-based, computer-tailored intervention, which was found to be effective in changing physical activity behavior in people aged over 50 years. The process and effect outcomes of the first version of the Active Plus project were translated into an adapted intervention using the RE-AIM framework. The RE-AIM model is often used to evaluate the potential public health impact of an intervention and distinguishes five dimensions: reach, effectiveness, adoption, implementation, and maintenance. ObjectiveTo gain insight into the systematic translation of the first print-delivered version of the Active Plus project into an adapted (Web-based) follow-up project. The focus of this study was on the reach and effectiveness dimensions, since these dimensions are most influenced by the results from the original Active Plus project. MethodsWe optimized the potential reach and effect of the interventions by extending the delivery mode of the print-delivered intervention into an additional Web-based intervention. The interventions were adapted based on results of the process evaluation, analyses of effects within subgroups, and evaluation of the working mechanisms of the original intervention. We pretested the new intervention materials and the Web-based versions of the interventions. Subsequently, the new intervention conditions were implemented in a clustered randomized controlled trial. ResultsAdaptations resulted in four improved tailoring interventions: (1) a basic print-delivered intervention, (2) a basic Web-based intervention, (3) a print-delivered intervention with an additional environmental component, and (4) a Web-based version with an additional environmental component. Pretest results with participants showed that all new intervention materials had modest usability and relatively high appreciation, and that filling in an online questionnaire and performing the online tasks was not problematic. We used the pretest results to improve the usability of the different interventions. Implementation of the new interventions in a clustered randomized controlled trial showed that the print-delivered interventions had a higher response rate than the Web-based interventions. Participants of both low and high socioeconomic status were reached by both print-delivered and Web-based interventions. ConclusionsTranslation of the (process) evaluation of an effective intervention into an adapted intervention is challenging and rarely reported. We discuss several major lessons learned from our experience. Trial RegistrationNederlands Trial Register (NTR): 2297; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2297 (Archived by WebCite at http://www.webcitation.org/65TkwoESp).

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. [ABSTRACT FROM AUTHOR]