A Web-Based Intervention to Prevent Multiple Chronic Disease Risk Factors Among Adolescents: Co-Design and User Testing of the Health4Life School-Based Program

The Triple E project: a factorial randomised controlled trial to enhance engagement with eHealth approaches to improve health risk behaviours among adolescents

BACKGROUND

Digital, or eHealth, interventions are highly promising approaches to help adolescents improve their health behaviours and reduce their risk of chronic disease. However, they often have low uptake and retention. There is also a paucity of high-quality research into the predictors of eHealth engagement, and a lack of studies that have systematically evaluated existing engagement strategies in adolescent populations. This paper describes the protocol for a randomised controlled trial which primarily aims to assess the effectiveness of different strategies in increasing engagement with a healthy lifestyles app, Health4Life. Associations between the engagement strategies and improvements in adolescent health behaviours (healthy eating, physical activity, sleep, recreational screen time, smoking, alcohol use) will also be examined, along with potential predictors of adolescents' intentions to use health apps and their use of the Health4Life app.

METHODS

The current study will aim to recruit 336 adolescent and parent/guardian dyads (total sample N = 672) primarily through Australia wide online advertising. All adolescent participants will have access to the Health4Life app (a multiple health behaviour change, self-monitoring mobile app). The trial will employ a 24 factorial design, where participants will be randomly allocated to receive 1 of 16 different combinations of the four engagement strategies to be evaluated: text messages, access to a health coach, access to additional gamified app content, and provision of parent/guardian information resources. Adolescents and parents/guardians will both complete consent processes, baseline assessments, and a follow-up assessment after 3 months. All participants will also be invited to complete a qualitative interview shortly after follow-up. The primary outcome, app engagement, will be assessed via an App Engagement Index (Ei) using data collected in the Health4Life app and the Mobile App Rating Scale - User version.

DISCUSSION

This research will contribute significantly to building our understanding of the types of strategies that are most effective in increasing adolescents' engagement with health apps and which factors may predict adolescents' use of health apps.

TRIAL REGISTRATION

The trial is registered at the Australian New Zealand Clinical Trials Registry (ACTRN12623000399695). Date registered: 19/04/2023.

Moderating effects of socioeconomic status and geographical location on the Health4Life school-based intervention

Objective

This study evaluated the moderating effects of socioeconomic status (SES) and geographical location on the efficacy of an eHealth school-based multiple health behaviour change intervention - Health4Life - in targeting alcohol and tobacco use, dietary intake, knowledge, behavioural intentions, and psychological distress over 24-months.

Methods

Data from the Health4Life cluster-randomised controlled trial conducted from 2019 to 2021 in 71 Australian secondary schools were analysed (N=6639; baseline age 11-14yrs). Schools were from metropolitan (89%) and regional (11%) areas, and participants' SES was classified as low (15%), mid (37%), and high (48%) relative to the study population. Primary outcomes included alcohol and tobacco use, and a composite indicator of poor diet. Secondary outcomes were knowledge, behavioural intentions, and psychological distress. Latent growth models assessed moderating effects of SES and geographical location on between-group change over 24-months.

Results

Geographical location moderated the intervention's effect on odds of reporting a poor diet (OR = 1.79, 95% CI = 1.32-2.43, p < 0.001) and diet-related behavioural intentions (OR = 0.71, 95% CI = 0.56-0.89, p = 0.024) over time. Subset analyses indicated that intervention participants in regional areas had higher odds of reporting a poor diet (OR = 1.61, 95% CI = 1.13-2.29, p = 0.008), while those in metropolitan areas had higher odds of improving diet-related behavioural intentions (OR = 1.13, 95% CI = 1.01-1.27, p = 0.041), compared to the control group. No other significant moderation effects were observed.

Conclusions

While significant disparities were generally not observed, the geographical differences in intervention effects on diet and diet-related intentions suggest that co-designed and tailored approaches may benefit disadvantaged adolescents to address the disproportionately high rates of lifestyle risk behaviours among these priority populations.

Fostering Digital Life Skills Through Social Media With Adolescents in 6 German States: Protocol for an Accessibility Study According to the RE-AIM Framework

BACKGROUND

Social media is essential in the lives of adolescents, with 97% of US teenagers engaging daily. While it facilitates communication, learning, and identity development, it also poses risks like harmful content exposure and psychological distress, particularly for adolescents in their critical developmental stage. Teaching digital life skills innovatively counters these risks, adapting traditional competencies such as decision-making, problem-solving, creative and critical thinking, communication, interpersonal skills, self-awareness, empathy, and emotional and stress management to digital challenges.

OBJECTIVE

This study evaluates the accessibility of the "leduin" program, a novel intervention designed to impart digital life skills through Instagram. The program aims to leverage social media's educational potential, focusing on effective strategies to engage adolescents. Emphasizing accessibility is crucial, as it determines the program's overall impact.

METHODS

The leduin program, developed through intervention mapping, applies behavior change techniques via social media for 9th and 10th graders. It is a 14-week spaced learning curriculum with daily sessions <5 minutes. Emphasizing the "reach" aspect of the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) model, the recruitment targets diverse educational settings across 6 German states, aiming for inclusivity. Recruitment will involve schools, youth centers, and therapeutic facilities. The study seeks at least 128 participants, a calculated minimum to detect medium-sized effects in the quasi-experimental design and explore varying engagement levels and program responses. Data collection includes preintervention, postintervention, and 6-month follow-up surveys, using multilevel regression, latent growth models, and qualitative analysis to extensively assess reach and gain first insights on effectiveness, acceptance, implementation, and maintenance. The study aims to reveal key factors influencing program participation and interaction; a detailed analysis of engagement patterns will reveal the effectiveness of the recruitment strategies and barriers to participation. Additionally, initial indications of the program's impact on life skills, social media-related skills, health status, risk behaviors, and academic performance will be analyzed.

RESULTS

Recruitment was planned from May 2023 until the beginning of the leduin program in October 2023. As of March 2024, we have recruited 283 participants.

CONCLUSIONS

The leduin program stands as an innovative and essential initiative in adolescent health promotion, harnessing the power of social media to teach important digital life skills. This study highlights the critical role of accessibility in the success of social media interventions. Effective adolescent engagement strategies are imperative, as they dictate the overall impact of such interventions. The insights gained from this study will be instrumental in shaping future programs, laying groundwork for a subsequent, more comprehensive cluster-randomized controlled trial. The study's design acknowledges the limitations of the current quasi-experimental approach, including the anticipated sample size and the absence of a control group, and aims to provide a foundational understanding for future research in this field.

TRIAL REGISTRATION

Deutsches Register Klinischer Studien DRKS00032308; https://drks.de/search/de/trial/DRKS00032308.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/51085.

Potential Mediators of a School-Based Digital Intervention Targeting Six Lifestyle Risk Behaviours in a Cluster Randomised Controlled Trial of Australian Adolescents

Lifestyle risk behaviours-physical inactivity, poor diet, poor sleep, recreational screen time, and alcohol and tobacco use-collectively known as the "Big 6" emerge during adolescence and significantly contribute to chronic disease development into adulthood. To address this issue, the Health4Life program targeted the Big 6 risk behaviours simultaneously via a co-designed eHealth school-based multiple health behaviour change (MHBC) intervention. This study used multiple causal mediation analysis to investigate some potential mediators of Health4Life's effects on the Big 6 primary outcomes from a cluster randomised controlled trial of Health4Life among Australian school children. Mediators of knowledge, behavioural intentions, self-efficacy, and self-control were assessed. The results revealed a complex pattern of mediation effects across different outcomes. Whilst there was a direct effect of the intervention on reducing moderate-to-vigorous physical activity risk, the impact on sleep duration appeared to occur indirectly through the hypothesised mediators. Conversely, for alcohol and tobacco use, both direct and indirect effects were observed in opposite directions cancelling out the total effect (competitive partial mediation). The intervention's effects on alcohol and tobacco use highlighted complexities, suggesting the involvement of additional undetected mediators. However, little evidence supported mediation for screen time and sugar-sweetened beverage intake risk. These findings emphasise the need for tailored approaches when addressing different risk behaviours and designing effective interventions to target multiple health risk behaviours. The trial was pre-registered with the Australian and New Zealand Clinical Trials Registry: ACTRN12619000431123.

Availability and use of web-based interventions for patients with head and neck cancer: a scoping review

PURPOSE

To identify and review the nature, scope and use of web-based interventions for patients with head and neck cancer (HNC).

METHOD

A scoping review guided by the methodological framework described by the Joanna Briggs Institute was performed to review empirical studies and websites. Seven electronic databases (CINAHL, Medline, Scopus, Embase, Cochrane, PubMed and PsycInfo) were searched from 2010 to 2020, data extracted and synthesised using thematic analysis. The Google search engine was employed, identifying the first 100 websites, using the search term head and neck cancer. Websites meeting eligibility criteria were assessed using the QUEST analysis tool, and descriptively summarised.

RESULTS

Thirteen empirical studies and 32 websites were included. As identified by empirical studies, web-based interventions were developed to provide (1) patient information on HNC and related treatments, (2) advice and support during treatment and (3) management strategies promoting adjustment to life with and beyond HNC. The reviewed websites provided minimal information to aid shared decision-making and facilitate preparedness for treatment, with few utilising patient narratives. Web-based interventions for HNC patients were mainly text based and focused on survivorship.

CONCLUSIONS

There is a paucity of theory-based, co-designed web-based interventions using patient narratives.

IMPLICATIONS FOR CANCER SURVIVORS

As patients increasingly look to the internet for advice and support, healthcare professionals are in a position to provide high-quality web-based interventions. There is an opportunity to rigorously develop a web-based intervention, containing narratives of peoples' lives before and after HNC treatment, aiding decision-making, preparedness for treatment and self-management.

Re-Licious: Co-Design with Adolescents to Turn Leftovers into Delicious and Healthy Meals-A School-Based Pilot Intervention

One-third of the food produced globally is lost or wasted, and one cause is consumer leftovers. Re-licious was an eight-week pilot intervention aiming to increase awareness of food waste and healthy eating by building adolescents' ability to prepare and cook leftovers. Re-licious used a co-design approach and was piloted in a secondary school, half of which was during a COVID-19 lockdown period. Students watched videos on food waste and healthy eating during class. They identified leftover ingredients at home and repurposed ingredients to create recipes. Students co-created recipe criteria to ensure the personal relevance of the recipes. They completed pre- and post-intervention questionnaires (n = 40) about food waste and motivation and interest in healthy eating. Four group interviews were conducted. The factors identified as important in the co-creation sessions were preparation time, cost, healthiness, and sustainability. Participants with low motivation and interest in healthy eating decreased, and participants with high interest increased (p < 0.001). The intention to reduce food waste increased (p = 0.007), as did resourcefulness (p < 0.001) and personal norms (p = 0.048). Interviews highlighted the students' increased awareness of food waste and enjoyment of the intervention. With improvements based on this pilot, Re-licious could be adapted and re-trialled in a face-to-face format to educate young people about food waste.

Making 'being less sedentary feel normal' -investigating ways to reduce adolescent sedentary behaviour at school: a qualitative study

BACKGROUND

Adolescents spend over 50% of a 24-hour period and 63% of the school day sedentary. Few comprehensive qualitative studies have explored teachers' and students' perceptions of potential strategies to reduce sedentary behaviour (SB) in the secondary school setting. This project aimed to elicit students' and teachers' perspectives of feasible and acceptable ways to encourage adolescents to "sit less and stand or move more" during the school day.

METHODS

Students, teachers, and executives from four schools in the Illawarra and surrounding areas (New South Wales) Australia, were invited to participate. Focus group implementation used a participatory research design ('problem and solution tree'). Participants were interviewed in three groups, younger adolescents, older adolescents and teachers/executives. Firstly the 'problem' (high rates of SB) was explained, participants were then asked to identify contributing school related factors, and to suggest feasible ideas to reduce SB during the school day.

RESULTS

Fifty-five students (24 from Years 7/8 aged 12-14 years and 31 from Years 9/10 aged 14-16 years), and 31 teachers consented to participate. Thematic analysis elicited five main 'problems': lesson structure, non-conducive classroom environment/structure, non-conducive break-time environment, curricular pressures and school-related factors increasing sedentary behaviour outside of school. Suggested 'solutions' included: changes to classroom layout/furniture, pedagogical changes, hands-on learning, outdoor lessons, more comfortable uniforms, more breaks during class time, compulsory physical activity, and outdoor equipment.

CONCLUSIONS

The proposed solutions to reduce adolescent SB during the school day have potential to be feasibly implemented in the school setting, even with limited funding.

Health4Life eHealth intervention to modify multiple lifestyle risk behaviours among adolescent students in Australia: a cluster-randomised controlled trial

BACKGROUND

Lifestyle risk behaviours are prevalent among adolescents and commonly co-occur, but current intervention approaches tend to focus on single risk behaviours. This study aimed to evaluate the efficacy of the eHealth intervention Health4Life in modifying six key lifestyle risk behaviours (ie, alcohol use, tobacco smoking, recreational screen time, physical inactivity, poor diet, and poor sleep, known as the Big 6) among adolescents.

METHODS

We conducted a cluster-randomised controlled trial in secondary schools that had a minimum of 30 year 7 students, in three Australian states. A biostatistician randomly allocated schools (1:1) to Health4Life (a six-module, web-based programme and accompanying smartphone app) or an active control group (usual health education) with the Blockrand function in R, stratified by site and school gender composition. All students aged 11-13 years who were fluent in English and attended participating schools were eligible. Teachers, students, and researchers were not masked to allocation. Primary outcomes were alcohol use, tobacco use, recreational screen time, moderate to vigorous physical activity (MVPA), sugar-sweetened beverage intake, and sleep duration at 24 months, measured by self-report surveys, and analysed in all students who were eligible at baseline. Latent growth models estimated between-group change over time. This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12619000431123).

FINDINGS

Between April 1, 2019, and Sept 27, 2019, we recruited 85 schools (9280 students), of which 71 schools with 6640 eligible students (36 schools [3610 students] assigned to the intervention and 35 [3030 students] to the control) completed the baseline survey. 14 schools were excluded from the final analysis or withdrew, mostly due to a lack of time. We found no between-group differences for alcohol use (odds ratio 1·24, 95% CI 0·58-2·64), smoking (1·68, 0·76-3·72), screen time (0·79, 0·59-1·06), MVPA (0·82, 0·62-1·09), sugar-sweetened beverage intake (1·02, 0·82-1·26), or sleep (0·91, 0·72-1·14) at 24 months. No adverse events were reported during this trial.

INTERPRETATION

Health4Life was not effective in modifying risk behaviours. Our results provide new knowledge about eHealth multiple health behaviour change interventions. However, further research is needed to improve efficacy.

FUNDING

Paul Ramsay Foundation, the Australian National Health and Medical Research Council, the Australian Government Department of Health and Aged Care, and the US National Institutes of Health.

Multiple lifestyle risk behaviours and hierarchical dimensions of psychopathology in 6640 Australian adolescents

OBJECTIVE

Physical inactivity, sugar sweetened beverage consumption, alcohol use, smoking, poor sleep and excessive recreational screen time (the 'Big 6' lifestyle risk behaviours) often co-occur and are key risk factors for psychopathology. However, the best fitting latent structure of the Big 6 is unknown and links between multiple lifestyle risk behaviours and hierarchical dimensions of psychopathology have not been explored among adolescents. This study aimed to address these gaps in the literature.

METHODS

Confirmatory factor analysis, latent class analysis and factor mixture models were conducted among 6640 students (M_age = 12.7 years) to identify the latent structure of the Big 6 lifestyle risk behaviours. Structural equation models were then used to examine associations with psychopathology.

RESULTS

A mixture model with three classes, capturing mean differences in a single latent factor indexing overall risk behaviours, emerged as the best fitting model. This included relatively low-risk (Class 1: 30%), moderate-risk (Class 2: 67%) and high-risk (Class 3: 3%) classes. Students high on externalizing demonstrated significantly greater odds of membership to the high-risk class (odds ratio = 8.75, 99% confidence interval = [3.30, 23.26]) and moderate-risk class (odds ratio = 2.93, 99% confidence interval = [1.43, 5.97]) in comparison to the low-risk class. Similarly, students high on internalizing demonstrated significantly higher odds of membership to the high-risk class (odds ratio = 1.89, 99% confidence interval = [1.06, 3.37]) and the moderate-risk class (odds ratio = 1.66, 99% confidence interval = [1.03, 2.67]) in comparison to the low-risk class. Associations between lower order factors of psychopathology and lifestyle risk behaviours were mostly accounted for by the more parsimonious higher order factors.

CONCLUSION

Classes representing differences in probabilities of the Big 6 lifestyle risk behaviours relate to varying levels of hierarchical dimensions of psychopathology, suggesting multiple health behaviour change and transdiagnostic intervention approaches may be valuable for reducing risk of psychopathology.

Parent-based interventions to improve multiple lifestyle risk behaviors among adolescents: A systematic review and meta-analysis

Lifestyle risk behaviors often co-occur and are prevalent among adolescents. Parent-based interventions addressing risk behaviors concurrently have the potential to improve youth and parent outcomes. This systematic review evaluated the efficacy of parent-based interventions targeting multiple lifestyle risk behaviors among adolescents and parents. MEDLINE (Ovid), Embase (Ovid), PsycInfo (Ovid), Scopus, CINAHL, the Cochrane Database of Systematic Reviews (CDSR) and Cochrane Central Register of Controlled Trials (CENTRAL) were searched from 2010-May 2021. Eligible studies were randomised controlled trials (RCTs) of parent-based interventions addressing 2+ risk behaviors: alcohol use, smoking, poor diet, physical inactivity, sedentary behaviors, and poor sleep. Studies directly targeting parents, and that assessed adolescent outcomes (11-18 years) were eligible. Where possible, random-effects meta-analysis was conducted. From 11,975 identified records, 46 publications of 36 RCTs (n = 28,322 youth, n = 7385 parents) were eligible. Parent-based interventions were associated with improved adolescent moderate-to-vigorous physical activity (MVPA) [Odds Ratio (OR) = 1.82, 95% CI = 1.18, 2.81; p = 0.007], and reduced screen time (SMD = -0.39, 95% CI = -0.62, -0.16, p = 0.0009) and discretionary food intake (SMD = -0.18; 95% CI = -0.30, -0.06; p = 0.002) compared to controls. However, there was some evidence that interventions increased the odds of ever using tobacco in the medium-term (OR = 1.47, 95% CI = 0.99, 2.18, p = 0.06) and of past month tobacco use in the long-term (OR = 1.46, 95% CI = 1.12, 1.90; p = 0.005). Overall, the quality of evidence was moderate. Parent-based interventions targeting multiple risk behaviors improved adolescent MVPA, and reduced screen time discretionary food intake. Further research is needed to address sleep problems and increase intervention efficacy, particularly for alcohol and tobacco use.

Co-Produce, Co-Design, Co-Create, or Co-Construct—Who Does It and How Is It Done in Chronic Disease Prevention? A Scoping Review

Co-production in health literature has increased in recent years. Despite mounting interest, numerous terms are used to describe co-production. There is confusion regarding its use in health promotion and little evidence and guidance for using co-produced chronic disease prevention interventions in the general population. We conducted a scoping review to examine the research literature using co-production to develop and evaluate chronic disease prevention programs. We searched four electronic databases for articles using co-production for health behaviour change in smoking, physical activity, diet, and/or weight management. In 71 articles that reported using co-production, co-design, co-create, co-develop, and co-construct, these terms were used interchangeably to refer to a participatory process involving researchers, stakeholders, and end users of interventions. Overall, studies used co-production as a formative research process, including focus groups and interviews. Co-produced health promotion interventions were generally not well described or robustly evaluated, and the literature did not show whether co-produced interventions achieved better outcomes than those that were not. Uniform agreement on the meanings of these words would avoid confusion about their use, facilitating the development of a co-production framework for health promotion interventions. Doing so would allow practitioners and researchers to develop a shared understanding of the co-production process and how best to evaluate co-produced interventions.

Assessing the Feasibility of a Multicenter Transition Intervention Model Across Adolescent Secure Services in England (MOVING FORWARD): Protocol for a Feasibility Cluster Randomized Controlled Trial

BACKGROUND

Young people moving from adolescent secure inpatient units to adult care in the United Kingdom have multiple and complex needs and are more likely to experience poor transition outcomes. Poorly managed transitions can lead to enduring use and dependency on mental health services. However, there is a lack of knowledge about the feasibility of transitional care models.

OBJECTIVE

This paper presents the protocol for a study that aims to test a feasibility cluster randomized controlled trial for young people transitioning from adolescent secure services to adult-oriented settings. The overarching aim of the MOVING FORWARD study is to provide a preliminary estimate of the effectiveness and cost-effectiveness of a new transition intervention model and to inform a future full-scale cluster randomized controlled trial.

METHODS

The design of the study is a 3-arm feasibility cluster randomized controlled trial comparing the MOVING FORWARD intervention against standard transition preparation conducted at 6 adolescent secure services, of which 4 units will receive the intervention and 2 will serve as controls. Eligible young people between 17-19 years, their parents/carers, and key workers will be invited to participate. Young people and parents/carers will be allocated to two conditions (young people alone and young people with a parent/carer) and will receive 4 transition preparation workshops across 6 months. Six adolescent secure hospitals will be randomly allocated, stratified by area and service type. Data will be collected at 3 time points: baseline (T0), 6-12 months postintervention (T1), and 18-24 months postbaseline (T2). Primary and secondary outcomes will be based on assessment measures and interviews conducted at T1 and T2.

RESULTS

A total of 13 young people and 17 staff members have contributed to the intervention design through online advisory groups on the design of the study and important themes for transition. We have also consulted members of the public (a steering group) including 2 young people who have transitioned to the community and 2 parents/carers. Common identified themes included appropriateness of module content and support during delayed transitions. The content of the intervention will be finalized during the first 6 months of the study. Participants will be recruited over the course of 6 months. An intraclass correlation coefficient will be calculated to inform the power of the sample size for a further large-scale trial. With a sample size of 50, we will be able to estimate a dropout rate of 80% (95% CI -11% to 11%).

CONCLUSIONS

This research will provide practitioners and policy makers with an evidence-based framework of how training and familiarization with the prospective transitions can yield positive outcomes. This study will test whether a psychosocial intervention can be implemented in adolescent secure hospitals. The results will identify barriers and facilitators to the proposed intervention and will enable services to reflect on the quality of transitional care delivery.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/29273.

Making of Mobile SunSmart: Co-designing a Just-in-Time Sun Protection Intervention for Children and Parents

Background

In this study, we describe a participatory design process to develop a technology-based intervention for sun protection for children and their parents. Our methodology embraces and leverages the expert knowledge of the target users, children and their parents, about their sun protection practices to directly influence the design of our mobile just-in-time adaptive intervention (JITAI). The objectives of this paper are to describe our research procedures and summarize primary findings incorporated into developing our JITAI modules.

Methods

We conducted 3 rounds of iterative co-design workshops with design expert KidsTeam UW children (N: 11–12) and subject expert children and their parents from local communities in California (N: 22–48). Iteratively, we thematically coded the qualitative data generated by participants in the co-design sessions to directly inform design specifications.

Results

Three themes emerged: (1) preference for non-linear educational format with less structure,; (2) situations not conducive for prioritizing sun protection; and (3) challenges, barriers, and ambiguity relating to sun protection to protect oneself and one’s family. Based on the design ideas and iterative participant feedback, three categories of modules were developed: personalized and interactive data intake module, narrative-education module with augmented reality experiment, person/real-time tailored JITAI, and assessment modules.

Conclusions

This is one of the first projects that maximally engage children and parents as co-designers to build a technology to improve sun protection with iterative and intentional design principles. Our scalable approach to design a mobile JITAI to improve sun protection will lay the foundation for future public health investigators with similar endeavors.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12529-021-09987-9.

A Multiple Health Behavior Change, Self-Monitoring Mobile App for Adolescents: Development and Usability Study of the Health4Life App

BACKGROUND

The link between chronic diseases and the Big 6 lifestyle risk behaviors (ie, poor diet, physical inactivity, smoking, alcohol use, sedentary recreational screen time, and poor sleep) is well established. It is critical to target these lifestyle risk behaviors, as they often co-occur and emerge in adolescence. Smartphones have become an integral part of everyday life, and many adolescents already use mobile apps to monitor their lifestyle behaviors and improve their health. Smartphones may be a valuable platform for engaging adolescents with interventions to prevent key chronic disease risk behaviors.

OBJECTIVE

The aim of this paper is to describe the development, usability, and acceptability of the Health4Life app, a self-monitoring smartphone app for adolescents that concurrently targets the Big 6 lifestyle behaviors.

METHODS

The development of the Health4Life app was an iterative process conducted in collaboration with adolescents and experts. The development process consisted of three stages: scoping the literature; end user consultations, which included a web-based survey (N=815; mean age 13.89, SD 0.89 years) and a focus group (N=12) among adolescents; and app development and beta testing. Following this development work, 232 adolescents were asked to rate the usability and acceptability of the app.

RESULTS

The process resulted in a self-monitoring smartphone app that allows adolescent users to track and set goals for the Big 6 health behaviors, using in-app rewards and notifications to enhance engagement. The overall adolescent feedback was positive in terms of user-friendly design, content, relevance, and helpfulness. Commonly identified areas for improvement were to increase interactive features and display recorded health behaviors differently to improve interpretability.

CONCLUSIONS

The Health4Life app is a co-designed, self-monitoring smartphone app for adolescents that concurrently targets the Big 6 lifestyle behaviors. Adolescents rated the app as highly acceptable and usable. The app has the potential to efficiently and effectively modify important risk factors for chronic disease among young people and is currently being evaluated in a world-first trial of 6640 secondary school students in 71 schools across Australia.

Study protocol of the Health4Life initiative: a cluster randomised controlled trial of an eHealth school-based program targeting multiple lifestyle risk behaviours among young Australians

INTRODUCTION

Lifestyle risk behaviours, including alcohol use, smoking, poor diet, physical inactivity, poor sleep (duration and/or quality) and sedentary recreational screen time ('the Big 6'), are strong determinants of chronic disease. These behaviours often emerge during adolescence and co-occur. School-based interventions have the potential to address risk factors prior to the onset of disease, yet few eHealth school-based interventions target multiple behaviours concurrently. This paper describes the protocol of the Health4Life Initiative, an eHealth school-based intervention that concurrently addresses the Big 6 risk behaviours among secondary school students.

METHODS AND ANALYSIS

A multisite cluster randomised controlled trial will be conducted among year 7 students (11-13 years old) from 72 Australian schools. Stratified block randomisation will be used to assign schools to either the Health4Life intervention or an active control (health education as usual). Health4Life consists of (1) six web-based cartoon modules and accompanying activities delivered during health education (once per week for 6 weeks), and a smartphone application (universal prevention), and (2) additional app content, for students engaging in two or more risk behaviours when they are in years 8 and 9 (selective prevention). Students will complete online self-report questionnaires at baseline, post intervention, and 12, 24 and 36 months after baseline. Primary outcomes are consumption of sugar-sweetened beverages, moderate-to-vigorous physical activity, sleep duration, sedentary recreational screen time and uptake of alcohol and tobacco use.

ETHICS AND DISSEMINATION

This study has been approved by the University of Sydney (2018/882), NSW Department of Education (SERAP no. 2019006), University of Queensland (2019000037), Curtin University (HRE2019-0083) and relevant Catholic school committees. Results will be presented to schools and findings disseminated via peer-reviewed journals and scientific conferences. This will be the first evaluation of an eHealth intervention, spanning both universal and selective prevention, to simultaneously target six key lifestyle risk factors among adolescents.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry (ACTRN12619000431123), 18 March 2019.