Implementation of a school-based internet obesity prevention program for adolescents

The realities of data derived from electronic health records to evaluate health outcomes, utilization, and cost of produce prescription programs: A multiple case study evaluation

Background

Produce prescription projects (PPRs) allow healthcare professionals to "prescribe" fruits and vegetables for patients experiencing food insecurity and a diet-related chronic disease. Evaluation of healthcare outcomes, utilization, and costs data is prudent to understand the impact of PPRs. However, substantial challenges exist. The objective of this study is to understand facilitators, barriers, lessons learned, and emergent best practices for data derived from electronic health records (EHR) among PPRs.

Design and methods

A multiple methods case study including four PPRs funded through a pilot grant to use EHR-derived data to measure healthcare outcomes, utilization, and costs of health care. Data sources included grant applications (n = 4), data use agreements (DUA; n = 4), memoranda of understandings (n = 4), pre/post healthcare outcomes and utilization data, and qualitative interviews/focus groups (n = 10). For analysis we used: descriptive statistics; paired t-tests for changes in values pre/post PPR; and thematic qualitative analysis to construct themes.

Results

The four cases shared varied healthcare outcomes and utilization measures and submitted less data than was outlined in their respective DUA. Three salient themes emerged: PPR projects need: (1) sufficient time and resources to develop procedures to collect and share healthcare data; (2) tailored healthcare outcome measures to PPR design, outcomes of interest, and EHR capabilities; (3) technical support related to technology, data security and sharing.

Conclusions

EHR data can provide insight on the impact of PPRs and related healthcare interventions on health outcomes and cost-effectiveness. Evaluation efforts must consider project capacity and ensure adequate resources to collect and securely share healthcare data.

How to integrate and leverage digital health modalities for health promotion in early childhood education: Opportunities to improve intervention access and engagement

Early childhood education (ECE) settings are important for the development of children's healthy eating and physical activity behaviors. Efforts to disseminate and implement health behavior promotion strategies in ECE settings have seldom optimized digital health, a missed opportunity highlighted by the COVID-19 pandemic. In this commentary, we discuss previous efforts to shift ECE-based health behavior programs to digital health modalities, notable opportunities for digital health in these settings, and a multilevel perspective to support future efforts. We propose future directions in digital health literacy, reaching various ECE settings, implementation science, and community partnerships to expand the use of digital interventions.

Interventions to prevent obesity in children aged 12 to 18 years old

BACKGROUND

Prevention of obesity in adolescents is an international public health priority. The prevalence of overweight and obesity is over 25% in North and South America, Australia, most of Europe, and the Gulf region. Interventions that aim to prevent obesity involve strategies that promote healthy diets or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective, and numerous new studies have been published over the last five years since the previous version of this Cochrane Review.

OBJECTIVES

To assess the effects of interventions that aim to prevent obesity in adolescents by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was February 2023.

SELECTION CRITERIA

Randomised controlled trials in adolescents (mean age 12 years and above but less than 19 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our outcomes were BMI, zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome.

MAIN RESULTS

This review includes 74 studies (83,407 participants); 54 studies (46,358 participants) were included in meta-analyses. Sixty studies were based in high-income countries. The main setting for intervention delivery was schools (57 studies), followed by home (nine studies), the community (five studies) and a primary care setting (three studies). Fifty-one interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over 28 months. Sixty-two studies declared non-industry funding; five were funded in part by industry. Dietary interventions versus control The evidence is very uncertain about the effects of dietary interventions on body mass index (BMI) at short-term follow-up (mean difference (MD) -0.18, 95% confidence interval (CI) -0.41 to 0.06; 3 studies, 605 participants), medium-term follow-up (MD -0.65, 95% CI -1.18 to -0.11; 3 studies, 900 participants), and standardised BMI (zBMI) at long-term follow-up (MD -0.14, 95% CI -0.38 to 0.10; 2 studies, 1089 participants); all very low-certainty evidence. Compared with control, dietary interventions may have little to no effect on BMI at long-term follow-up (MD -0.30, 95% CI -1.67 to 1.07; 1 study, 44 participants); zBMI at short-term (MD -0.06, 95% CI -0.12 to 0.01; 5 studies, 3154 participants); and zBMI at medium-term (MD 0.02, 95% CI -0.17 to 0.21; 1 study, 112 participants) follow-up; all low-certainty evidence. Dietary interventions may have little to no effect on serious adverse events (two studies, 377 participants; low-certainty evidence). Activity interventions versus control Compared with control, activity interventions do not reduce BMI at short-term follow-up (MD -0.64, 95% CI -1.86 to 0.58; 6 studies, 1780 participants; low-certainty evidence) and probably do not reduce zBMI at medium- (MD 0, 95% CI -0.04 to 0.05; 6 studies, 5335 participants) or long-term (MD -0.05, 95% CI -0.12 to 0.02; 1 study, 985 participants) follow-up; both moderate-certainty evidence. Activity interventions do not reduce zBMI at short-term follow-up (MD 0.02, 95% CI -0.01 to 0.05; 7 studies, 4718 participants; high-certainty evidence), but may reduce BMI slightly at medium-term (MD -0.32, 95% CI -0.53 to -0.11; 3 studies, 2143 participants) and long-term (MD -0.28, 95% CI -0.51 to -0.05; 1 study, 985 participants) follow-up; both low-certainty evidence. Seven studies (5428 participants; low-certainty evidence) reported data on serious adverse events: two reported injuries relating to the exercise component of the intervention and five reported no effect of intervention on reported serious adverse events. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, do not reduce BMI at short-term follow-up (MD 0.03, 95% CI -0.07 to 0.13; 11 studies, 3429 participants; high-certainty evidence), and probably do not reduce BMI at medium-term (MD 0.01, 95% CI -0.09 to 0.11; 8 studies, 5612 participants; moderate-certainty evidence) or long-term (MD 0.06, 95% CI -0.04 to 0.16; 6 studies, 8736 participants; moderate-certainty evidence) follow-up. They may have little to no effect on zBMI in the short term, but the evidence is very uncertain (MD -0.09, 95% CI -0.2 to 0.02; 3 studies, 515 participants; very low-certainty evidence), and they may not reduce zBMI at medium-term (MD -0.05, 95% CI -0.1 to 0.01; 6 studies, 3511 participants; low-certainty evidence) or long-term (MD -0.02, 95% CI -0.05 to 0.01; 7 studies, 8430 participants; low-certainty evidence) follow-up. Four studies (2394 participants) reported data on serious adverse events (very low-certainty evidence): one reported an increase in weight concern in a few adolescents and three reported no effect.

AUTHORS' CONCLUSIONS

The evidence demonstrates that dietary interventions may have little to no effect on obesity in adolescents. There is low-certainty evidence that activity interventions may have a small beneficial effect on BMI at medium- and long-term follow-up. Diet plus activity interventions may result in little to no difference. Importantly, this updated review also suggests that interventions to prevent obesity in this age group may result in little to no difference in serious adverse effects. Limitations of the evidence include inconsistent results across studies, lack of methodological rigour in some studies and small sample sizes. Further research is justified to investigate the effects of diet and activity interventions to prevent childhood obesity in community settings, and in young people with disabilities, since very few ongoing studies are likely to address these. Further randomised trials to address the remaining uncertainty about the effects of diet, activity interventions, or both, to prevent childhood obesity in schools (ideally with zBMI as the measured outcome) would need to have larger samples.

Social Media Interventions for Nutrition Education Among Adolescents: Scoping Review

BACKGROUND

Adolescence is a critical period for reinforcing healthy dietary behaviors and supporting the development of cooking skills. Social media may be an avenue for supporting these behaviors, as it is popular among adolescents and can improve access to nutrition education interventions. This study sought to understand the optimal implementation of effective social media-based nutrition education interventions to inform the implementation of future social media-based nutrition education interventions.

OBJECTIVE

A scoping review of the characteristics, feasibility, effectiveness, and factors influencing social media-based nutrition education interventions for adolescents was conducted.

METHODS

We searched MEDLINE, Embase, CINAHL, Web of Science, and PsycINFO databases using a predefined search strategy. Primary research articles were independently screened and included if they involved adolescent populations (10-18 years old) and delivered nutrition education through social media. The information on intervention characteristics, feasibility, effectiveness, and factors influencing social media-based nutrition education interventions was extracted.

RESULTS

A total of 28 publications out of 20,557 met the eligibility criteria. Twenty-five nutrition interventions were examined by 28 studies. Fourteen interventions used homegrown social media platforms, 8 used Facebook, and 2 used Instagram. Feasibility outcomes were infrequently reported, and the cost of intervention delivery was not reported. Engagement with interventions was variable; high engagement was not required to elicit significant improvements in dietary behaviors. Tailoring interventions, offering practical content, meaningful peer support, and involving families and communities facilitated successful interventions. Strategies to address engagement and technical issues were varied.

CONCLUSIONS

Emerging evidence demonstrates that social media interventions for adolescent nutrition are acceptable and improve nutrition outcomes. Future interventions should strengthen peer support components and tailor delivery to specific populations. Further research should examine engagement, adherence, and the impact of interventions on behavioral and physical outcomes. This review is the first to examine the use of social media as the primary medium for nutrition education for adolescent populations. The analysis used in this review argues the importance of peer support in social media-based nutrition interventions and the need for user-centered design of the interventions.

Digital Health Promotion and Prevention in Settings: Scoping Review

BACKGROUND

Digital technologies are increasingly integrating into people's daily living environments such as schools, sport clubs, and health care facilities. These settings play a crucial role for health promotion and prevention because they affect the health of their members, as the World Health Organization has declared. Implementing digital health promotion and prevention in settings offers the opportunity to reach specific target groups, lower the costs of implementation, and improve the health of the population. Currently, there is a lack of scientific evidence that reviews the research on digital health promotion and prevention in settings.

OBJECTIVE

This scoping review aims to provide an overview of research targeting digital health promotion and primary prevention in settings. It assesses the range of scientific literature regarding outcomes such as applied technology, targeted setting, and area of health promotion or prevention, as well as identifies research gaps.

METHODS

The scoping review was conducted following the Levac, Colquhoun, and O'Brien framework. We searched scientific databases and gray literature for articles on digital setting-based health promotion and prevention published from 2010 to January 2020. We included empirical and nonempirical publications in English or German and excluded secondary or tertiary prevention and health promotion at the workplace.

RESULTS

From 8888 records, the search resulted in 200 (2.25%) included publications. We identified a huge diversity of literature regarding digital setting-based health promotion and prevention. The variety of technology types extends from computer- and web-based programs to mobile devices (eg, smartphone apps) and telemonitoring devices (sensors). We found analog, digital, and blended settings in which digital health promotion and prevention takes place. The most frequent analog settings were schools (39/200, 19.5%) and neighborhoods or communities (24/200, 12%). Social media apps were also included because in some studies they were defined as a (digital) setting. They accounted for 31.5% (63/200) of the identified settings. The most commonly focused areas of health promotion and prevention were physical activity (81/200, 40.5%), nutrition (45/200, 22.5%), and sexual health (34/200, 17%). Most of the interventions combined several health promotion or prevention methods, including environmental change; providing information, social support, training, or incentives; and monitoring. Finally, we found that the articles mostly reported on behavioral rather than structural health promotion and prevention.

CONCLUSIONS

The research field of digital health promotion and prevention in settings is heterogeneous. At the same time, we identified research gaps regarding the absence of valid definitions of relevant terms (eg, digital settings) and the lack of literature on structural health promotion and prevention in settings. Therefore, it remains unclear how digital technologies can contribute to structural (or organizational) changes in settings. More research is needed to successfully implement digital technologies to achieve health promotion and prevention in settings.

Kindergarten to 12th Grade School-Based Nutrition Interventions: Putting Past Recommendations Into Practice

School-based nutrition interventions are used to improve dietary habits of schoolchildren and reverse trends on obesity. This article reports on kindergarten through 12th grade nutrition interventions published between 2009 and 2018 compared with interventions published between 2000 and 2008 based on (1) behaviorally focused, (2) multicomponent, (3) healthful food/school environment (4) family involvement, (5) self-assessments, (6) quantitative evaluation, (7) community involvement, (8) ethnic/heterogeneous groups, (9) multimedia technology, and (10) sequential and sufficient duration. These 10 recommendations help guide educators, researchers, and nutritionists on more effective nutrition interventions. Future use of implementation science to determine potential drivers of adoption, nonadoption, and effectiveness of the recommendations is encouraged.

Implementation Science and Nutrition Education and Behavior: Opportunities for Integration

Implementation science (IS) is the study of approaches designed to increase adoption and sustainability of research evidence into routine practice. This article provides an overview of IS and ideas for its integration with nutrition education and behavior practice and research. Implementation science application in nutrition education and behavior practice can inform real-word implementation efforts. Research opportunities include advancing common approaches to implementation measurement. In addition, the article provides suggestions for future studies (eg, comparative effectiveness trials comparing implementation strategies) to advance the knowledge base of both fields. An example from ongoing research is included to illustrate concepts and methods of IS.

Digital technologies for promotion of healthy eating habits in teenagers

OBJECTIVE

Identify and analyze the scientific literature on digital technologies for promotion of healthy eating habits in teenagers.

METHOD

Integrative review of articles published in English and Spanish, available in full on four databases. The descriptors used were (Adolescent health) OR (Teen health) AND (Healthy diet) OR (Healthy eating) AND (Educational technology) OR (Instructional technology), respectively, from which eight articles were selected.

RESULTS

Among the studies included, three were digital games; two web-based nutrition interventions; two using online programs to prevent obesity; and one nutritional advice using multimedia. They showed experiences of digital technology and its effects on knowledge improvement and/or behavior of participants when developing healthy eating habits.

CONCLUSION

Digital technologies are innovative tools present in the lives of teenagers, with the possibility of being used for education and promotion of healthy eating, contributing to the empowerment of the subject for his/her self-care.

Efficacy of gamification-based smartphone application for weight loss in overweight and obese adolescents: study protocol for a phase II randomized controlled trial

BACKGROUND

Overweight and obesity are significant public health concerns that are prevalent in younger age cohorts. Preventive or therapeutic interventions are difficult to implement and maintain over time. On the other hand, the majority of adolescents in the United States have a smartphone, representing a huge potential for innovative digitized interventions, such as weight loss programs delivered via smartphone applications. Although the number of available smartphone applications is increasing, evidence for their effectiveness in weight loss is insufficient. Therefore, the proposed study aims to assess the efficacy of a gamification-based smartphone application for weight loss in overweight and obese adolescents. The trial is designed to be a phase II, single-centre, two-arm, triple-blinded, randomized controlled trial (RCT) with a duration of 6 months.

METHOD

The intervention consists of a smartphone application that provides both tracking and gamification elements, while the control arm consists of an identically designed application solely with tracking features of health information. The proposed trial will be conducted in an urban primary care clinic of an academic centre in the United States of America, with expertise in the management of overweight and obese adolescents. Eligible adolescents will be followed for 6 months. Changes in body mass index z score from baseline to 6 months will be the primary outcome. Secondary objectives will explore the effects of the gamification-based application on adherence, as well as anthropometric, metabolic and behavioural changes. A required sample size of 108 participants (54 participants per group) was calculated.

DISCUSSION

The benefits of the proposed study include mid-term effects in weight reduction for overweight and obese adolescents. The current proposal will contribute to fill a gap in the literature on the mid-term effects of gamification-based interventions to control weight in adolescents. This trial is a well-designed RCT that is in line with the Consolidated Standards of Reporting Trials statement.

A Systematic Review of Digital Interventions for Improving the Diet and Physical Activity Behaviors of Adolescents

Many adolescents have poor diet and physical activity behaviors, which can lead to the development of noncommunicable diseases in later life. Digital platforms offer inexpensive means of delivering health interventions, but little is known about their effectiveness. This systematic review was conducted to synthesize evidence on the effectiveness of digital interventions to improve diet quality and increase physical activity in adolescents, to effective intervention components and to assess the cost-effectiveness of these interventions. Following a systematic search, abstracts were assessed against inclusion criteria, and data extraction and quality assessment were performed for included studies. Data were analyzed to identify key features that are associated with significant improvement in behavior. A total of 27 studies met inclusion criteria. Most (n = 15) were Web site interventions. Other delivery methods were text messages, games, multicomponent interventions, emails, and social media. Significant behavior change was often seen when interventions included education, goal setting, self-monitoring, and parental involvement. None of the publications reported cost-effectiveness. Due to heterogeneity of studies, meta-analysis was not feasible.It is possible to effect significant health behavior change in adolescents through digital interventions that incorporate education, goal setting, self-monitoring, and parental involvement. Most of the evidence relates to Web sites and further research into alternate media is needed, and longer term outcomes should be evaluated. There is a paucity of data on the cost-effectiveness of digital health interventions, and future trials should report these data.

Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease

BACKGROUND

A number of school-based policies or practices have been found to be effective in improving child diet and physical activity, and preventing excessive weight gain, tobacco or harmful alcohol use. Schools, however, frequently fail to implement such evidence-based interventions.

OBJECTIVES

The primary aims of the review are to examine the effectiveness of strategies aiming to improve the implementation of school-based policies, programs or practices to address child diet, physical activity, obesity, tobacco or alcohol use.Secondary objectives of the review are to: Examine the effectiveness of implementation strategies on health behaviour (e.g. fruit and vegetable consumption) and anthropometric outcomes (e.g. BMI, weight); describe the impact of such strategies on the knowledge, skills or attitudes of school staff involved in implementing health-promoting policies, programs or practices; describe the cost or cost-effectiveness of such strategies; and describe any unintended adverse effects of strategies on schools, school staff or children.

SEARCH METHODS

All electronic databases were searched on 16 July 2017 for studies published up to 31 August 2016. We searched the following electronic databases: Cochrane Library including the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; Embase Classic and Embase; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); Dissertations and Theses; and SCOPUS. We screened reference lists of all included trials for citations of other potentially relevant trials. We handsearched all publications between 2011 and 2016 in two specialty journals (Implementation Science and Journal of Translational Behavioral Medicine) and conducted searches of the WHO International Clinical Trials Registry Platform (ICTRP) (http://apps.who.int/trialsearch/) as well as the US National Institutes of Health registry (https://clinicaltrials.gov). We consulted with experts in the field to identify other relevant research.

SELECTION CRITERIA

'Implementation' was defined as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised or non-randomised) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by school staff to 'no intervention', 'usual' practice or a different implementation strategy.

DATA COLLECTION AND ANALYSIS

Citation screening, data extraction and assessment of risk of bias was performed by review authors in pairs. Disagreements between review authors were resolved via consensus, or if required, by a third author. Considerable trial heterogeneity precluded meta-analysis. We narratively synthesised trial findings by describing the effect size of the primary outcome measure for policy or practice implementation (or the median of such measures where a single primary outcome was not stated).

MAIN RESULTS

We included 27 trials, 18 of which were conducted in the USA. Nineteen studies employed randomised controlled trial (RCT) designs. Fifteen trials tested strategies to implement healthy eating policies, practice or programs; six trials tested strategies targeting physical activity policies or practices; and three trials targeted tobacco policies or practices. Three trials targeted a combination of risk factors. None of the included trials sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials examined multi-strategic implementation strategies and no two trials examined the same combinations of implementation strategies. The most common implementation strategies included educational materials, educational outreach and educational meetings. For all outcomes, the overall quality of evidence was very low and the risk of bias was high for the majority of trials for detection and performance bias.Among 13 trials reporting dichotomous implementation outcomes-the proportion of schools or school staff (e.g. classes) implementing a targeted policy or practice-the median unadjusted (improvement) effect sizes ranged from 8.5% to 66.6%. Of seven trials reporting the percentage of a practice, program or policy that had been implemented, the median unadjusted effect (improvement), relative to the control ranged from -8% to 43%. The effect, relative to control, reported in two trials assessing the impact of implementation strategies on the time per week teachers spent delivering targeted policies or practices ranged from 26.6 to 54.9 minutes per week. Among trials reporting other continuous implementation outcomes, findings were mixed. Four trials were conducted of strategies that sought to achieve implementation 'at scale', that is, across samples of at least 50 schools, of which improvements in implementation were reported in three trials.The impact of interventions on student health behaviour or weight status were mixed. Three of the eight trials with physical activity outcomes reported no significant improvements. Two trials reported reductions in tobacco use among intervention relative to control. Seven of nine trials reported no between-group differences on student overweight, obesity or adiposity. Positive improvements in child dietary intake were generally reported among trials reporting these outcomes. Three trials assessed the impact of implementation strategies on the attitudes of school staff and found mixed effects. Two trials specified in the study methods an assessment of potential unintended adverse effects, of which, they reported none. One trial reported implementation support did not significantly increase school revenue or expenses and another, conducted a formal economic evaluation, reporting the intervention to be cost-effective. Trial heterogeneity, and the lack of consistent terminology describing implementation strategies, were important limitations of the review.

AUTHORS' CONCLUSIONS

Given the very low quality of the available evidence, it is uncertain whether the strategies tested improve implementation of the targeted school-based policies or practices, student health behaviours, or the knowledge or attitudes of school staff. It is also uncertain if strategies to improve implementation are cost-effective or if they result in unintended adverse consequences. Further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.

Lifestyle determinants of health: Isn't it all about genetics and environment?

PURPOSE

Drawn from one of the keynote addresses at the State of the Science Conference held by the Council for the Advancement of Nursing Science (CANS), the purpose of this paper is to review the evidence from clinical trials about the importance of lifestyle behaviors in human health.

METHODS

Evidence from trials on the impact of lifestyle interventions on outcomes in diabetes and prediabetes are presented.

RESULTS

These findings suggest that lifestyle behaviors are important to diabetes prevention and outcomes in youth and adults.

IMPLICATIONS

More research is needed on the factors that predict these outcomes, especially genetics and environment.

[Electronic media in obesity prevention in childhood and adolescence]

BACKGROUND

The increasing prevalence of childhood obesity is - amongst other factors - due to changed leisure time habits with decreased physical activity and increased media consumption. However, electronic media such as tablets and smartphones might also provide a novel intervention approach to prevent obesity in childhood and adolescence.

OBJECTIVES

A summary of interventions applying electronic media to prevent childhood obesity is provided to investigate short term effects as well as long term results of these interventions.

METHODS

A systematic literature search was performed in PubMed/Web of Science to identify randomized and/or controlled studies that have investigated the efficacy of electronic media for obesity prevention below the age of 18.

RESULTS

A total of 909 studies were identified, and 88 studies were included in the analysis. Active video games did increase physical activity compared to inactive games when applied within a peer group. Interventions via telephone had positive effects on certain lifestyle-relevant behaviours. Interventions via mobile were shown to decrease dropout rates by sending regular SMS messages. To date, interventions via smartphones are scarce for adolescents; however, they might improve cardiorespiratory fitness. The results from internet-based interventions showed a trend towards positive effects on lifestyle-relevant behaviors. The combination of different electronic media did not show superior results compared to interventions with only one medium. Interventions via TV, DVD or video-based interventions may increase physical activity when offered as an incentive, however, effects on weight status were not observed.

DISCUSSION

Children and adolescents currently grow up in a technology- and media-rich society with computers, tablets, smartphones, etc. used daily. Thus, interventions applying electronic media to prevent childhood obesity are contemporary. Available studies applying electronic media are however heterogeneous in terms of applied medium and duration. Positive effects on body composition were not observed, but only on certain lifestyle-relevant behaviours. In addition, these effects could only be seen in the short term. Follow-up data are currently scarce.

Searching for rigour in the reporting of mixed methods population health research: a methodological review

The environments in which population health interventions occur shape both their implementation and outcomes. Hence, when evaluating these interventions, we must explore both intervention content and context. Mixed methods (integrating quantitative and qualitative methods) provide this opportunity. However, although criteria exist for establishing rigour in quantitative and qualitative research, there is poor consensus regarding rigour in mixed methods. Using the empirical example of school-based obesity interventions, this methodological review examined how mixed methods have been used and reported, and how rigour has been addressed. Twenty-three peer-reviewed mixed methods studies were identified through a systematic search of five databases and appraised using the guidelines for Good Reporting of a Mixed Methods Study. In general, more detailed description of data collection and analysis, integration, inferences and justifying the use of mixed methods is needed. Additionally, improved reporting of methodological rigour is required. This review calls for increased discussion of practical techniques for establishing rigour in mixed methods research, beyond those for quantitative and qualitative criteria individually. A guide for reporting mixed methods research in population health should be developed to improve the reporting quality of mixed methods studies. Through improved reporting, mixed methods can provide strong evidence to inform policy and practice.

Use of Focus Groups to Inform a Youth Diabetes Prevention Model

OBJECTIVE

To explore minority adolescents' perceptions of their diabetes risk, barriers and facilitators to adopting lifestyle changes, and ideas for adapting a youth diabetes prevention model.

METHODS

The study was conducted at collaborating community sites in East Harlem, NY. Trained moderators facilitated focus groups, which were audio taped and transcribed. Participants were 21 Latino and African American adolescents aged 14-18 years with a family history of diabetes and no reported personal history of diabetes. The phenomenon of interest was youth input in adapting a diabetes prevention model. Two researchers independently coded transcripts, identified major themes, compared findings, and resolved differences through discussion and consensus.

RESULTS

Dominant themes included (1) the impact of diabetes on quality of life within adolescents' personal networks; (2) conflict between changing diet and activity and their current lifestyle; (3) lifestyle choices being dictated by cost, mood, body image, and environment, not health; and (4) family, social, and environmental pressures reinforcing sedentary behaviors and unhealthy diets.

CONCLUSIONS AND IMPLICATIONS

Themes from youth focus groups were framed in the context of an existing youth diabetes prevention conceptual model, with results informing expansion of the model and identification and organization of potential intervention components.

Weight status, gender, and race/ethnicity: are there differences in meeting recommended health behavior guidelines for adolescents?

Healthy behaviors including limited screen time (ST), high physical activity (PA), and adequate fruits and vegetables consumption (FV) are recommended for adolescents, but it is unclear how gender, race/ethnicity, and weight status relate to these public health guidelines in diverse urban adolescents. Participants (N = 384) were recruited from three public high schools in or near New Haven, Connecticut. Descriptive statistics and logistic regression analyses were conducted. Most adolescents exceeded recommended levels of ST (70.5%) and did not meet guidelines for PA (87.2%) and FV (72.6%). Only 3.5% of the sample met all three guidelines. Boys were more likely to meet guidelines for PA (p < .01), while girls were engaged in less ST (p < .001). Black, non-Latinos were less likely to meet PA guidelines (p < .05). There were no significant differences in meeting ST, PA, or FV guidelines by weight status for the overall sample or when stratified by gender or race/ethnicity. We found alarmingly low levels of healthy behaviors in normal weight and overweight/obese adolescents.

The Role of Social Support vs. Modeling on Adolescents' Diet and Physical Activity: Findings from a School-based Weight Management Trial

Objective:

Social influences play an important role in shaping adolescents’ dietary and physical activity behaviors. We examined the role of perceived modeling and perceived social support from family and friends on diet and physical activity behaviors among overweight and obese adolescents participating in a weight management trial.

Methods:

Six high schools were randomized to a school-nurse delivered behavioral weight management intervention or an information attention-control. Data on perceived support and modeling of healthy eating and physical activity from family and friends and dietary and physical activity behaviors were obtained from participants (N=82) at baseline and 2- and 6-months follow-up.

Results:

Linear mixed models were used to examine associations between social factors at baseline and diet and physical behaviors at 6 months. Friend support was correlated with increased fruit and vegetable consumption (0.4 servings/day) and decreased added sugar intake (−14.2 grams/day) (p’s<0.05). Family support for physical activity, friend support for physical activity, and family modeling of physical activity were associated with increased number of days/week active for ≥ 60 minutes/day (0.7 days/week; 0.6 days/week; and 0.4 days/week, respectively, p’s<0.05).

Conclusions:

Among overweight and obese high school adolescents, support from family and friends was associated with a greater number of improvements in diet and physical activity at follow-up than modeling. Strategies to solicit support may maximize efficacy of adolescent obesity intervention efforts.

Sobrepeso y obesidad en preadolescentes mexicanos : estudio descriptivo, variables correlacionadas y directrices de prevención

El sobrepeso y la obesidad representan serios problemas de salud pública. Se realizó un estudio descriptivo y correlacional de variables asociadas al sobrepeso y la obesidad en preadolescentes mexicanos escolarizados en México DF. Se valoró la Autoestima general (LAWSEQ, por sus siglas en inglés), Autoestima corporal (BES, por sus siglas en inglés), Actitudes hacia la alimentación (ChEAT, por sus siglas en inglés) e Imagen corporal (BIA, por sus siglas en inglés) y comparaciones por género y edad. La muestra fue de 600 alumnos, niños y niñas de entre nueve y doce años. Se encontró una baja autoestima general (más baja en las niñas y en los participantes de mayor edad) y corporal y una buena actitud hacia la alimentación. Los participantes se percibieron y creyeron ser vistos con sobrepeso y obesidad, pero a futuro e idealmente desearon figuras más delgadas. Se propone que los programas de prevención contemplen educación para la salud, actividad física, control de aspectos genéticos, actitudes funcionales (tendientes a una buena autoestima y actitudes positivas hacia la comida sana), e involucramiento de la familia y el entorno social.