A 2-year young adult obesity prevention trial in the US: Process evaluation results

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.

Where Do Online Games Fit into the Health Behaviour Ecology of Emerging Adults: A Scoping Review

Online video games are a common pastime for emerging adults (EAs). EAs are an age group that is of interest in health communication because habits formed during this life stage can cause or prevent disease later in life. Guided by three research questions, this scoping review identifies the current state of research into socio-ecological influences on physical activity and diet behaviours of EAs. The review also examines the role that online video games play within this behavioural ecology. In total, 112 articles were found that focused on behavioural ecological influences for physical activity and diet behaviour among EAs. Seven of these articles focused on the impact of online video games, although only in conjunction with their influence on physical activity, identifying a gap in understanding the influence of online games on diet. Results show that online video games are currently under-researched in terms of impacts on physical activity and diet despite the prevalence of the use of these games within the EA cohort.

Participant perspectives of a telehealth trial investigating the use of telephone and text message support in obesity management: a qualitative evaluation

Background: Quantitative evidence suggests that interventions involving telephone calls and text message are feasible and effective for improving lifestyle intervention adherence and clinical outcomes among adults with obesity. The aim of this article is to provide qualitative insight into the perspectives and experiences of participants who completed a telehealth trial exploring the use of telephone and text support as adjunctive tools to support a community-based obesity management program. Methods: Focus groups were conducted in order to evaluate program acceptability and overall participant perceptions of the clinical trial. Thematic content analysis was used to analyse the data, aided by the development of a thematic network. Results: The telehealth trial was well received. Participants found the telephone and text message support highly beneficial, providing encouragement, motivation and accountability via a simple and convenient mode of communication. Conclusions: These findings suggest a high degree of promise for the incorporation of telephone and text support in obesity management.

Multiple Health Risk Factors in Vocational Education Students: A Systematic Review

Health risk factors such as tobacco smoking, inadequate fruit intake, inadequate vegetable intake, risky alcohol consumption, physical inactivity, obesity, anxiety and depression often commence during adolescence and young adulthood. Vocational education institutions enrol many students in these age groups making them an important setting for addressing multiple health risk factors. This systematic review examined (i) co-occurrence of health risk factors, (ii) clustering of health risk factors, and (iii) socio-demographic characteristics associated with co-occurrence and/or clusters of health risks among vocational education students. MEDLINE, PsycINFO, EMBASE, CINAHL and Scopus were searched to identify eligible studies published by 30 June 2020. Two reviewers independently extracted data and assessed methodological quality using the National Heart, Lung and Blood Institute Quality Assessment Tool. Five studies assessed co-occurrence and three studies clustering of health risks. Co-occurrence of health risk factors ranged from 29–98% and clustering of alcohol use and tobacco smoking was commonly reported. The findings were mixed about whether gender and age were associated with co-occurrence or clustering of health risks. There is limited evidence examining co-occurrence and clustering of health risk factors in vocational education students. Comprehensive assessment of how all these health risks co-occur or cluster in vocational education students is required.

Using motivational interviewing to enhance emerging adults' engagement in weight loss: The Live Well RVA pilot randomized clinical trial

Background

Emerging adults (ages 18–25) are at high risk for overweight/obesity, yet traditional adult behavioural weight loss (BWL) interventions do not meet the needs of individuals at this developmental stage. Motivational interviewing (MI) is an evidence‐based approach to promote behaviour change but has not been tested for weight loss in this population. The study aimed to test the feasibility and preliminary efficacy of an MI‐enhanced weight loss programme to promote engagement, retention and weight loss in emerging adults.

Methods

Emerging adults with overweight/obesity (N = 47, 81% female, 47% racial/ethnic minority, body mass index [BMI] = 33.2 ± 4.6 kg/m²) were randomized to either standard BWL or MI‐enhanced BWL (MIBWL). Weight was assessed objectively at baseline and posttreatment (3 months). Engagement (in‐person session attendance [weeks 1 and 2], online self‐monitoring [weeks 3–12] and online content viewing [weeks 3–12]) was tracked throughout the program.

Results

Though results did not reach the level of statistical significance, participants in MIBWL demonstrated greater programme engagement (77% vs. 61.0%, p = .11; Cohen d = .48), retention (71% vs. 48.0%, p = .10; Cohen h = .47) and intent‐to‐treat weight loss (−3.3% vs. −2.2%, p = .37; Cohen d = .26) compared with those in BWL.

Conclusions

Effect sizes suggest that MI might be a viable approach to enhance engagement and retention in weight loss programmes targeting emerging adults. This finding is meaningful, given the documented challenges with engagement and retention in this vulnerable population and the relationship between engagement and better weight loss outcomes. The results of this small pilot study support efforts to replicate these findings within the context of a fully powered trial.

A Secondary Data Analysis Examining Young Adults' Performance in an Internet Weight Loss Program with Financial Incentives

OBJECTIVE

In traditional behavioral weight loss (BWL) programs, young adults fare worse than older adults with respect to engagement, retention, and weight loss, but money and use of technology have been cited as program factors that might improve outcomes for this population. This study evaluated young adult performance in internet-based BWL (IBWL) offering financial incentives for self-monitoring and weight loss.

METHODS

Participants (N = 180; BMI = 33.2 ± 6.0 kg/m² ) were randomly assigned to a 12-week IBWL or IBWL + incentives (IBWL + $) group. This secondary data analysis compared young adults (ages 18-35) in IBWL (n = 16) with young adults in IBWL + $ (n = 12) on percent weight loss, engagement, and retention. Young adults (n = 28) were also compared with older adults (ages 36-70; n = 152) on these outcomes.

RESULTS

Young adult weight loss was -2.8% ± 5.2% in IBWL and -5.4% ± 5.7% in IBWL + $ (P = 0.23, partial η²  = 0.06). A greater proportion of young adults in IBWL + $ achieved a 10% weight loss compared with IBWL (42% vs. 6%, P = 0.02). Compared with older adults, young adults were less engaged, but there were no differences for retention or weight loss (P values > 0.05).

CONCLUSIONS

Findings suggest that technology-based BWL has the potential to eliminate weight loss disparities observed between young adults and older adults in in-person BWL trials. Moreover, adding financial incentives holds promise for promoting clinically meaningful weight loss for young adults.

Early Engagement is Associated with Better Weight Loss in Emerging Adults

Objectives: Predictors of success among emerging adults (EAs; ages 18-25) within behavioral weight loss (BWL) trials are largely unknown. We examined whether early program engagement predicted overall engagement and weight loss in EAs. Methods: Data were pooled from 2 randomized controlled pilot trials in EAs. Participants (N = 99, 80% female, BMI = 33.7±5.1 kg/m²) received a 3-month BWL intervention. Weight was objectively assessed at 0 and 3 months; engagement was tracked weekly; retention was assessed at 3 months. Results: Greater engagement during the initial 4 weeks of treatment predicted greater weight loss (p = .001). Compared to those who did not engage in all 4 initial weeks, participants meeting this threshold experienced greater overall engagement (9.6 vs 4.2 weeks, p < .001), weight losses (intent-to-treat = -3.8% vs -1.3%, p = .004), and retention (78% vs 53%, p = .012). Conclusions: Early engagement in BWL is associated with better outcomes among EAs. Monitoring engagement in real-time during the initial 4 weeks of treatment may be necessary to intervene effectively. Early engagement did not vary by sex or race; future work should identify characteristics associated with poor early engagement.

The use of social media in nutrition interventions for adolescents and young adults-A systematic review

OBJECTIVE

Social media is a potentially engaging way to support adolescents and young adults in maintaining healthy diets and learning about nutrition. This review identifies interventions that use social media to promote nutrition, examines their content and features, and evaluates the evidence for the use of such platforms among these groups.

MATERIAL AND METHODS

We conducted a systematic search of 5 databases (PubMed, CINAHL, EMBASE, PsycINFO, and ACM Digital Library) for studies that included: 1) adolescents and/or young adults (ages 10-19; ages 18-25); 2) a nutrition education or behavior change intervention component, or outcomes related to nutrition knowledge or dietary changes; and 3) a social media component that allowed users to communicate or share information with peers.

RESULTS

16 articles were identified that included a social media component in a nutrition-related intervention for adolescents or young adults. Interventions included features in 7 categories: social media; communication; tracking health; education; tailoring; social support; and gamification. 11 out of the 16 studies had at least one significant nutrition-related clinical or behavioral outcome.

CONCLUSION

Social media is a promising feature for nutrition interventions for adolescents and young adults. A limited number of studies were identified that included social media. A majority of the identified studies had positive outcomes. We found that most studies utilized only basic social media features, did not evaluate the efficacy of social media components, and did not differentiate between the efficacy of social media compared to other delivery mechanisms.

Social media use for nutrition outcomes in young adults: a mixed-methods systematic review

BACKGROUND

Social media has been widely adopted by young adults, consequently health researchers are looking for ways to leverage this engagement with social media for the delivery of interventions and health promotion campaigns. Weight gain and sub-optimal dietary choices are common in young adults, and social media may be a potential tool to facilitate and support healthier choices.

METHODS

We conducted a mixed-methods systematic review of studies examining social media use for nutrition-related outcomes in young adults. Seven databases [EBscohost, ERIC, ProQuest Central, PubMed, Ovid, Scopus, and Emerald] were systematically searched; 1225 abstracts were screened, and 47 full-text articles were assessed for eligibility. Study designs included both quantitative, such as experimental and observational studies, and qualitative, such as focus groups and interviews, approaches. Quality was assessed using the Mixed Methods Appraisal Tool. Quantitative and qualitative results were examined separately, and then synthesized.

RESULTS

Twenty-one studies were included although their use of social media was highly variable. The main purpose of social media was to provide information and social support to participants. In the nine randomized controlled trials, social media was used as one aspect of a multi-faceted intervention. Interventions had a positive statistically significant impact on nutritional outcomes in 1/9 trials. Engagement with the social media component of interventions varied, from 3 to 69%. Young adults appear to be open to receiving healthy eating and recipe tips through social media, however, they are reluctant to share personal weight-related information on their online social networks.

CONCLUSIONS

Information-dissemination is now an acceptable use of social media by young adults. Using social media effectively for social support, either via private groups or public pages, requires careful evaluation as its effectiveness is yet to be demonstrated in experimental designs. Concerns about public social media use may be a contributing factor to poor engagement with social media in research intervention studies aimed at influencing weight. Future research should consider how to best engage with young adults using social media, how to more effectively use social media to support young adults and to facilitate social and peer-to-peer support in making healthier choices.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain

BACKGROUND

The ability to identify and measure behaviors that are related to weight loss and the prevention of weight regain is crucial to understanding the variability in response to obesity treatment and the development of tailored treatments.

OBJECTIVES

The overarching goal of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project is to provide obesity researchers with guidance on a set of constructs and measures that are related to weight control and that span and integrate obesity-related behavioral, biological, environmental, and psychosocial domains. This article describes how the behavioral domain subgroup identified the initial list of high-priority constructs and measures to be included, and it describes practical considerations for assessing the following four behavioral areas: eating, activity, sleep, and self-monitoring of weight. Challenges and considerations for advancing the science related to weight loss and maintenance behaviors are also discussed.

SIGNIFICANCE

Assessing a set of core behavioral measures in combination with those from other ADOPT domains is critical to improve our understanding of individual variability in response to adult obesity treatment. The selection of behavioral measures is based on the current science, although there continues to be much work needed in this field.

The Transition into Young Adulthood: a Critical Period for Weight Control

PURPOSE OF REVIEW

Emerging adulthood (age 18-25) represents a critical period for weight control: rate of weight gain is greatest during these years and the prevalence of overweight and obesity is estimated to be at least 40% among emerging adults. Unique behavioral, psychosocial, and cognitive risk factors among this population must be specifically addressed within weight management programs. We review extant treatment approaches, including lessons learned from the nascent literature specifically targeting this population. Lastly, we provide suggestions to inform future work in this area.

RECENT FINDINGS

The EARLY consortium comprises seven clinical trials targeting weight control in young adults age 18-35. Though these studies encompass a broader age range, two of the trials enrolled large numbers of 18-25-year-olds. Results from these trials and other recent pilot trials provide a foundation for next steps with respect to developing weight management interventions for emerging adults. The design of targeted weight control approaches for emerging and young adults has contributed to improved outcomes for this high-risk population. However, suboptimal engagement and variability in response pose challenges. Identifying and intervening on individual-level behavioral and psychological variables may enhance the effects of these adapted treatments.

Weight-Gain Reduction Among 2-Year College Students: The CHOICES RCT

INTRODUCTION

The young adult years have been recognized as an influential period for excess weight gain. Non-traditional students and those attending 2-year community colleges are at particularly high risk for a range of adverse weight-related outcomes.

DESIGN

Choosing Healthy Options in College Environments and Settings was an RCT with students randomly assigned into a control or intervention condition after baseline assessment. The study was designed to evaluate if a 24-month weight-gain prevention intervention reduces the expected increase in BMI and overweight prevalence in young adults attending 2-year colleges. Two cohorts were recruited, corresponding to the fall and spring semesters. Data collection occurred at four time points for each cohort, with baseline occurring in fall 2011 for Cohort 1 and spring 2012 for Cohort 2. The 24-month follow-up occurred in fall 2013 for Cohort 1 and spring 2014 for Cohort 2. Data analysis occurred in 2015-2016.

SETTING/PARTICIPANTS

This research was conducted with 441 students from three community colleges in Minnesota.

INTERVENTION

The 24-month intervention began with a 1-credit college course on healthy weight behaviors. A social networking and social support website was introduced as part of the course and participation encouraged for the duration of the trial.

MAIN OUTCOME MEASURES

Changes in BMI, weight, body fat percentage, waist circumference, and weight status were assessed.

RESULTS

Retention of the cohorts at 24 months was 83.4%. There was not a statistically significant difference in BMI between conditions at the end of the trial. However, there was a statically significant difference in the prevalence of overweight/obesity between treatment conditions at 24 months. Also, participants randomized to the intervention who were overweight or obese at baseline were more than three times as likely to transition to a healthy weight by the end of the trial as compared with control students.

CONCLUSIONS

The intervention was not successful in achieving BMI differences between treatment groups. However, an 8% reduction in the prevalence of overweight and obesity over time may have population-level significance.

TRIAL REGISTRATION

This study is registered at www.clinicaltrials.gov NCT01134783.

Multilevel Interventions Targeting Obesity: Research Recommendations for Vulnerable Populations

INTRODUCTION

The origins of obesity are complex and multifaceted. To be successful, an intervention aiming to prevent or treat obesity may need to address multiple layers of biological, social, and environmental influences.

METHODS

NIH recognizes the importance of identifying effective strategies to combat obesity, particularly in high-risk and disadvantaged populations with heightened susceptibility to obesity and subsequent metabolic sequelae. To move this work forward, the National Heart, Lung, and Blood Institute, in collaboration with the NIH Office of Behavioral and Social Science Research and NIH Office of Disease Prevention convened a working group to inform research on multilevel obesity interventions in vulnerable populations. The working group reviewed relevant aspects of intervention planning, recruitment, retention, implementation, evaluation, and analysis, and then made recommendations.

RESULTS

Recruitment and retention techniques used in multilevel research must be culturally appropriate and suited to both individuals and organizations. Adequate time and resources for preliminary work are essential. Collaborative projects can benefit from complementary areas of expertise and shared investigations rigorously pretesting specific aspects of approaches. Study designs need to accommodate the social and environmental levels under study, and include appropriate attention given to statistical power. Projects should monitor implementation in the multiple venues and include a priori estimation of the magnitude of change expected within and across levels.

CONCLUSIONS

The complexity and challenges of delivering interventions at several levels of the social-ecologic model require careful planning and implementation, but hold promise for successful reduction of obesity in vulnerable populations.

Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population

Excess weight gain tends to occur in young adulthood. However, research examining effective weight-related interventions for this age group has been limited. As one of seven trials in the EARLY Trials consortium (Early Adult Reduction of weight through LifestYle intervention), the CHOICES Study (Choosing Healthy Options in College Environments and Settings) tested effects of a technology-integrated, young adult weight gain prevention intervention. It was a randomized controlled trial with assessments at baseline (2011) and 4-, 12- and 24-months post-intervention initiation and included 441 participants (ages 18-35) who were students at three Minnesota community colleges. The 24-month intervention included a 1-credit academic course and social networking and support online intervention. This analysis examined effects on 12 secondary behavioral outcomes across three domains: diet (fast food, sugary beverages, breakfast, at-home meal preparation), physical activity/screen time (minutes and energy expenditure in leisure time physical activity, television viewing, leisure time computer use) and sleep (hours of sleep, time required to fall asleep, days not getting enough rest, difficulty staying awake). The intervention resulted in significant reductions in fast food (p=0.007) but increases in difficulty staying awake (p=0.015). There was limited evidence of other behavior changes at 4months (0.05<p<0.1) in the expected direction but differences by treatment condition dissipated over time. Analyses examining summary treatment effects (i.e., modeling effects on all behavioral outcomes simultaneously) indicated significant overall effects (p=0.014), largely driven by 4-month results (p=0.005). Additional research is needed to understand effective obesity prevention among young adults, particularly when addressing multiple weight-related outcomes.

Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults

Background

TXT2BFiT was one of the first few innovative mHealth programs designed for young adults (18–35 years) with demonstrated efficacy in weight management. However, research is lacking to understand intervention effectiveness, especially in complex, multi-component mHealth programs. This paper investigates participant perceptions of and engagement with the mHealth program components in the TXT2BFiT to understand program effects.

Methods

Process evaluation data were collected continuously for the study duration. The TXT2BFiT program was a multi-component lifestyle program delivered intensively for 3-month followed by a 6-month maintenance phase. Program components included personalised coaching calls, text messages, emails, smartphone apps and website access. Process evaluation measures included frequency of use of components and frequency for number of components used (online survey data); dose delivered and engagement with program components (researcher logs and web platform reports); frequency, timing and difficulties experienced with program components (online survey data) and overall perceptions of program components (online survey data and semi-structured telephone interviews). Qualitative data analysis was performed using NVivo10.

Results

Over 80 % of participants completed post-intervention (3-months, intervention, n = 110, control n = 104) and follow-up surveys (9-months, intervention, n = 96, control n = 104). Thirty intervention participants completed semi-structured telephone interviews. Participants reported high use of coaching calls, text messages and emails and no issues in content delivery from these components. These components were described as helping them to achieve their goals. Website and app use and engagement was low for the duration of the program. Participants would prefer incorporation of the self-monitoring apps and website resources into one smartphone application that can be individualised by entry of their personal data.

Conclusions

Our process evaluation has allowed a comprehensive understanding of use and preference for different program components. The high value placed on the coaching calls is consistent with a desire for personalisation of the mHealth program and even further tailoring of text messages and emails. The findings of this study will be used to revise TXT2BFiT for future users.

Trial registration

The trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12612000924853).