Background: Although computer-tailored promotion of dietary change and physical activity has been identified as

BackgroundThe Internet has become a popular medium for the delivery of tailored healthy lifestyle promoting interventions. The actual reach of Internet-delivered interventions seems, however, lower than expected, and attrition from interventions is generally high. Characteristics of an intervention, such as personally tailored feedback and goal setting, are thought to be among the important factors related to of use of and exposure to interventions. However, there is no systematic overview of which characteristics of Internet-delivered interventions may be related to more exposure.ObjectiveThe present study aims to identify (1) which potentially exposure-promoting methods and strategies are used in existing Internet interventions, (2) which objective outcome measures are used to measure exposure to Internet interventions, and (3) which potentially exposure-promoting methods and strategies are associated with better exposure.MethodsA systematic review of the literature was conducted based on the Cochrane guidelines. Papers published between 1995 and 2009 were searched in the PubMed, PsycINFO, and Web of Science databases. In total, 64 studies were included that reported objective exposure measures such as completion of an initial visit, number of log-ins, and time spent on the website. Information about intervention-related characteristics (ie, interactive behavior change strategies, interactive elements for fun, peer or counsel support, email/phone contact, and regular updates of the website) that could potentially contribute to better exposure and objective exposure outcomes were abstracted from the studies and qualitative systematic descriptive analyses were performed.ResultsThe results showed that a large variety of behavior change techniques and other exposure-promoting elements were used in the interventions and that these methods and strategies varied for the various lifestyle behaviors. Feedback, interactive elements, and email/phone contact were used most often. In addition, there was much variety and a lack of consistency in the exposure measures that were reported. Of all the categories of intervention characteristics that may be associated with better exposure, there were indications that peer and counselor support result in a longer website visit and that email/phone contact and updates of the website result in more log-ins.ConclusionsResults of this qualitative systematic review indicate that of all intervention characteristics that could potentially enhance exposure, only peer support, counselor support, email/phone contact with visitors, and updates of the intervention website were related to better exposure. The diversity of intervention methods used and the inconsistency in the report of exposure measures prevented us from drawing firmer conclusions. More research is needed to identify whether other characteristics of Internet interventions are associated with greater exposure.

BackgroundA review update is necessary to document evidence regarding the effectiveness of computer-tailored physical activity and nutrition education.PurposeThe purpose of this study was to summarize the latest evidence on the effectiveness of computer-tailored physical activity and nutrition education, and to compare the results to the 2006 review.MethodsDatabases were searched for randomized controlled trials evaluating computer-tailored physical activity and nutrition education aimed at primary prevention in adults, published from September 2004 through June 2011.ResultsCompared to the findings in 2006, a larger proportion of studies found positive effects for computer-tailored programs compared to generic or no information, including those for physical activity promotion. Effect sizes were small and generally at short- or medium-term follow-up.ConclusionsThe results of the 2006 review were confirmed and reinforced. Future interventions should focus on establishing larger effect sizes and sustained effects and include more generic health education control groups and objective measurements of dietary behavior.Electronic supplementary materialThe online version of this article (doi:10.1007/s12160-012-9384-3) contains supplementary material, which is available to authorized users.

Background: Discerning the determinants of weight loss maintenance is important in the planning of future interventions and policies regarding overweight and obesity. We have therefore systematically synthesized recent literature on determinants of weight loss maintenance for individuals with overweight and obesity.Methods: With the use of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, prospective studies were identified from searches in PubMed and PsycINFO from 2006 to 2016. We included articles investigating adults with overweight and obesity undergoing weight loss without surgery or medication. Included articles were scored on their methodological quality, and a best-evidence synthesis was applied to summarize the results.Results: Our search resulted in 8,222 articles of which 67 articles were selected. In total, 124 determinants were identified of which 5 were demographic, 59 were behavioural, 51 were psychological/cognitive and 9 were social and physical environmental determinants. We found consistent evidence that demographic determinants were not predictive of weight loss maintenance. Behavioural and cognitive determinants that promote a reduction in energy intake, an increase in energy expenditure and monitoring of this balance are predictive determinants.Conclusion: This review identifies key determinants in weight loss maintenance.However, more research regarding cognitive and environmental determinants of weight loss maintenance is needed to advance our knowledge on determinants of weight loss maintenance.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.Participants with acute or chronic disease unable to undergo a weight loss trial. Participants who are using medication to lose weight. Participants who are pregnant or lactating. InterventionExperimental study where long-term weight loss is followed by ≥1-year post-intervention. Experimental study where weight loss maintenance is conducted for ≥1 year from baseline. Observational study where participants have been followed up ≥1 year. Cross-sectional study. Qualitative study. Outcome Determinant analysed for effect on weight. Long-term weight loss: Weight change (kg), percent weight change (%), BMI change (kg m À2 ) from end of study to follow-up. Weight loss maintenance study: Weight change (kg), percent weight change (%), BMI change (kg m À2 ) from baseline to follow-up. Observational study: Maintenance vs. regain, where maintenance is defined as 5% weight loss for >1 year. Demographic, behavioural, psychological/cognitive, environmental (social and physical) determinants.

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BackgroundThe literature on determinants of dietary behavior among youth is extensive and unwieldy. We conducted an umbrella review or review-of-reviews to present a comprehensive overview of the current knowledge.MethodsTherefore, we included systematic reviews identified in four databases (i.e. PubMed, PsycINFO, The Cochrane Library and Web of Science) that summarized determinants of observable child and adolescent dietary behaviors. Data extraction included a judgment of the importance of determinants, strength of evidence and evaluation of the methodological quality of the eligible reviews.ResultsIn total, 17 reviews were considered eligible. Whereas social-cognitive determinants were addressed most intensively towards the end of the 20th century, environmental determinants (particularly social and physical environmental) have been studied most extensively during the past decade, thereby representing a paradigm shift.With regard to environmental determinants, mixed findings were reported. Sedentary behavior and intention were found to be significant determinants of a wide range of dietary behaviors in most reviews with limited suggestive evidence due to the cross-sectional study designs. Other potential determinants such as automaticity, self-regulation and subjective norm have been studied in relatively few studies, but results are promising.ConclusionThe multitude of studies conducted on potential determinants of dietary behavior provides quite convincing evidence of the importance of several determinants (i.e. quite some variables were significantly related to dietary behavior). However, because of the often used weak research designs in the studies covered in the available reviews, the evidence for true determinants is suggestive at best.

Objective: To review the possibilities of using the Internet and especially the World Wide Web (WWW) in nutrition education. Results: A healthy existence is partly dependent on dietary behaviours. One way to promote health-promoting dietary habits is nutrition education. In the last decades several potentially important new channels for health communication and nutrition education have emerged, with the Internet and its WWW as the most striking example. The introduction and growth of the WWW has enabled swift and inexpensive distribution of nutrition education expertise and materials. Furthermore, the WWW has also been used for tailoring nutrition education to the personal characteristics of the user. Only few studies have investigated the effects of generic web-based nutrition education, while web-based computer-tailored nutrition education has been studied in randomised controlled trials, with promising but mixed results. Two important challenges for web-based nutrition education interventions are to realise sufficient exposure and to ensure sufficient source reliability and credibility. Conclusions: Next to the great opportunities, there are many challenges for web-based nutrition education. Some evidence for effects of web-based computer-tailored nutrition education has been reported, but more research is needed to obtain evidence for the effectiveness in real-life situations.

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