Weight Management in Young Adults: Systematic Review of Electronic Health Intervention Components and Outcomes

Feasibility and acceptability of an online multicomponent very low-carbohydrate intervention in young adult women with obesity: a pilot study

BACKGROUND

Approximately one-third of US young adults (18-25 years) have obesity, and there are calls to help young adults lose weight to prevent weight-related chronic conditions. This pilot trial tested the feasibility and acceptability of a very low-carbohydrate (VLC) eating pattern, with supportive positive affect and mindful eating skills, for weight management among young females with obesity.

METHODS

In a single-arm trial, women (N = 17), aged 19-23, with obesity participated in a 4-month diet and lifestyle intervention. Participants were taught how to follow a VLC eating pattern with the help of a coach and 16 weekly web-based sessions. We assessed feasibility and acceptability through session participation, outcome collection, intervention satisfaction, and adverse events.

RESULTS

Seventeen participants enrolled and 14 (82%) reported body weight at 4 months. Fifteen participants (94% of those beginning the intervention) viewed at least one session, and 8/15 (53%) of these participants were active in the intervention, viewing at least half of the sessions. Among the nine participants who provided 4-month self-report information, intervention satisfaction was high (mean 5.89/7, 95% CI 4.59 to 7.19). Among participants with a 4-month body weight, 7/14 (50%) lost ≥ 5% of their body weight, and of those who were also active in the intervention, 6/7 (86%) lost ≥ 5% of their body weight. There were no serious adverse events.

CONCLUSIONS

The results of this pilot study suggest that a VLC eating pattern may be a feasible and acceptable approach for weight loss in some young women with obesity.

TRIAL REGISTRATION

This trial was registered with ClinicalTrials.gov on August 18, 2021. The trial number is NCT05010083.

Effect of web-based health education on nursing students' knowledge, adaptive healthy measures and attitudes regarding polycystic ovary syndrome: a randomized controlled trial

BACKGROUND

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age, and it has emerged as a significant global public health issue. This study aimed to investigate the effects of web-based health education on nursing students' knowledge, adaptive healthy measures, and attitudes toward PCOS.

METHODS

A two-group randomized controlled trial (RCT) with pre-test and immediate post-test assessments was conducted. Study participants were recruited using a simple random sampling method from the Faculty of Nursing, Mansoura University, Egypt. A questionnaire consisting of six sections was developed to collect data, which was analyzed with the SPSS 23.0 using Student's t-test, Pearson's correlation test, and chi-square test analysis of variance.

RESULTS

The analysis revealed a significant increase in knowledge scores post-intervention, with the web-based learning groups (32.2 ± 10.5) outperforming the traditional learning group (22.1 ± 10.2), with (p < 0.05). Similarly, there was a notable improvement in adaptive healthy measures scores post-intervention, with the web-based learning group (8.9 ± 2.4) showing better results than the traditional group (6.5 ± 2.9), with (p < 0.05). In terms of attitudes toward PCOS, the web-based group (18.2 ± 4.9) displayed a significant improvement compared to the traditional group (11.7 ± 5.2), with (p < 0.05).

CONCLUSIONS

The findings suggest that web-based learning is more effective than traditional methods in enhancing nursing students' knowledge, adaptive healthy measures, and attitudes toward PCOS.

TRIAL REGISTRATION

This study was registered by Clinical Trials.gov Identifier: (NCT06192381|| https://www.

CLINICALTRIALS

gov/ ) on 5-1-2024.

Eating behaviors associated with weight gain among university students worldwide and treatment interventions: A systematic review

Introduction: Emerging adulthood has been described as a period of risk for body weight gain. Several studies have indicated that the positive or negative health behaviors established during this stage, tend to prevail the rest of life. However, there are discrepancies in published studies on weight change in freshmen and there are disagreements on weight gain predictors. The present study reviewed the literature with the aim of knowing the eating behaviors associated with weight gain in university students. Method: A systematic search was conducted in three databases according to the PRISMA method during the months of February to November 2020. Results: 20 articles were included in the review. The main behaviors associated with weight gain were the consumption of sugary drinks, alcohol consumption, low consumption of vegetables and fruits, frequent self-consumption, eating unhealthy and low levels of food regulation.

Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain

PURPOSE

Tailored self-management support is recommended as first-line treatment for neck and low back pain, for which mHealth applications could be promising. However, there is limited knowledge about factors influencing the engagement with such apps. The aim of this study was to assess barriers and facilitators for engaging with a self-management mHealth app among adults suffering from neck and/or low back pain.

MATERIALS AND METHODS

We carried out a qualitative descriptive study among adults with neck and/or low back pain. The artificial intelligence-based selfBACK app supports tailored self-management of neck and low back pain and was used for 6 weeks. After these 6 weeks, participants were interviewed by phone.

RESULTS

Thirty-two adults (17 males) with neck and/or low back pain participated (mean age = 54.9 (SD = 15.8)). Our results show that the mode of delivery and the novelty of the selfBACK app were perceived most often as a barrier to use the app. The action plans of the app and health-related factors were perceived most often as facilitating factors.

CONCLUSIONS

This study provides insight into possible strategies to improve an mHealth service. Furthermore, it shows that adults with neck and/or low back pain are willing and ready to receive blended treatment.

Predictors of participation in online self-management programs: A longitudinal observational study

PURPOSE/OBJECTIVE

Lack of patient participation and engagement remains a barrier to implementing effective online self-management and behavioral health interventions. Identifying patient characteristics associated with engagement rates may lead to interventions that improve engagement in traditional and online self-management programs. In this study, two online self-management and recovery programs were evaluated to identify factors that predict patient engagement.

RESEARCH METHOD/DESIGN

Predictors were collected in a questionnaire at baseline before 435 participants started either of the two interventions. One or two online lessons were completed per week with seven or eight total lessons to complete in each program, and each lesson took about 20-30 min to finish. Full patient engagement was defined as completing all lessons and assessments in the program and partial engagement as attempting at least one lesson or assessment.

RESULTS

Predictors of full patient engagement were self-rated confidence in completing the program or being over 60 years of age. Predictors of at least partial patient engagement were experienced ordering online or being over 50 years of age.

CONCLUSIONS/IMPLICATIONS

Identifying profiles of individuals who predict poor engagement may improve implementation and the health outcomes of intervention programs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021

Background

The 2023 Obesity Fact Sheet aims to present an updated overview of obesity prevalence across all age groups, including children and adolescents.

Methods

This study included individuals aged ≥20 years (n=16,941,423 in 2021) who underwent health checkups provided by the Korean National Health Insurance Service between 2012 and 2021. The prevalence of obesity and abdominal obesity was standardized by age and sex using data from the 2010 population and housing census. For children and adolescents (6 to 18 years) (n=884 in 2021), we used the Korea National Health and Nutrition Examination Survey (2012 to 2021), and obesity was defined by the corresponding sex- and age-specific body mass index percentile of 95th or greater based on the 2017 Korean National Growth Chart for Children and Adolescents.

Results

The overall prevalence of obesity in 2021 is 38.4% (49.2% in men and 27.8% in women), which is a 1.27-fold increase from 30.2% in 2012. The prevalence of obesity has increased across all age groups, particularly among those aged 20, 30, and 80 years. The prevalence of class III obesity substantially increased from 0.35% (men) and 0.42% (women) in 2012 to 1.21% and 0.97% in 2021, with 3.46- and 2.31-fold increases, respectively. This increase was particularly pronounced in young adults. The prevalence of obesity in children and adolescents has surged from 9.7% in 2012 to 19.3% in 2021, with a greater increase among boys.

Conclusion

Our study provides information on the current status of obesity prevalence based on the 2023 Obesity Fact Sheet, emphasizing the urgency of implementing timely strategies to reverse this increasing trend.

Behavioural strategies to reduce obesity among lower socio-economic adults living in high-income countries: a Grades of Recommendation, Assessment, Development and Evaluation-assessed systematic review and meta-analysis of randomised controlled trials

Adult obesity disproportionately affects lower socio-economic groups in high-income countries and perpetuates health inequalities, imposing health and socio-economic burden. This review evaluates the effectiveness of behavioural strategies in reducing weight and cardiovascular disease (CVD) risks among low-income groups based in high-income countries. We searched major databases for randomised controlled trials published between 1 November 2011 and 1 May 2023. Meta-analyses and subgroup analyses were undertaken to analyse the pooled and individual effects of behavioural strategies. Cochrane Risk of bias (RoB 2·0) tool and Grades of Recommendation, Assessment, Development and Evaluation (GRADE) criteria were used to assess the quality and certainty of evidence. Fourteen trials (3618 adults, aged 40·2 ± 9·7 years with BMI 33·6 ± 2·8 kg/m2) and nine unique interventions were identified. Three trials with high RoB were omitted. Meta-analysis favoured interventions, demonstrating significant reductions in body weight (MD: -1·56 kg, (95 % CI -2·09, -1·03)) and HbA1c (MD: -0·05 %, (95 % CI - 0·10, -0·001)) at intervention end. Sub-group analysis showed no differences in waist circumference, blood pressure or serum lipids. Financial incentives and interactive feedback produced greatest amounts of weight losses ≥ 2 kg (GRADE: moderate). Behavioural strategies are effective weight loss interventions among lower socio-economic groups living in high-income nations. However, the impact on CVD risk remains unclear.

Nurse-led intervention for the management of bariatric surgery patients: A systematic review

The prevalence of obesity has become a global health concern, and severe obesity is associated with various chronic diseases and decreased quality of life. Bariatric surgery has shown success in treating obesity. Nevertheless, some patients experience weight regain and unsatisfactory outcomes. Multidisciplinary interventions have been shown to improve postoperative outcomes. Case managers, often specialized nurses, play a crucial role in patient support and coordination of care. However, the diverse design of case-managing interventions hinders the assessment of their success. Thus, the aim of this review is to identify the most successful structural characteristics of case-managing interventions, with or without the support of e-Health, in the process of perioperative management of bariatric surgery patients. A systematic literature review was conducted following the PRISMA guidelines. PubMed, MEDLINE, EBSCOhost, and CINAHL databases were searched for relevant studies published in the last 10 years. Eligible studies included randomized controlled trials, controlled clinical studies, case studies, or observational studies that evaluated perioperative care in bariatric surgery. The PICO framework was used to frame the search strategy. The initial search yielded 225 articles, of which 10 studies met the inclusion criteria. Nurse-led case-managing interventions with a multidisciplinary approach showed positive results in weight loss, physical activity, and quality of life. Patient-centered care models were found to promote adherence to treatment and patient satisfaction. E-Health technologies improved quality of life but not weight loss. The duration of behavioral interventions and the long-term outcomes after surgery remained unclear. Nurse-led case-management interventions, with a focus on behavioral change and multidisciplinary approaches, show promise in improving outcomes in bariatric surgery patients. Patient-centered care models and longer term interventions may contribute to sustained weight loss and better postoperative outcomes. Further research is needed to determine the optimal duration of interventions and the long-term effects on weight maintenance.

Exploring the design and utility of an integrated web-based chatbot for young adults to support healthy eating: a qualitative study

BACKGROUND

There is a lack of understanding of the potential utility of a chatbot integrated into a website to support healthy eating among young adults. Therefore, the aim was to interview key informants regarding potential utility and design of a chatbot to: (1) increase young adults' return rates and engagement with a purpose-built healthy eating website and, (2) improve young adults' diet quality.

METHODS

Eighteen qualitative, semi-structured interviews were conducted across three stakeholder groups: (i) experts in dietary behaviour change in young adults (n = 6), (ii) young adult users of a healthy eating website (n = 7), and (iii) experts in chatbot design (n = 5). Interview questions were guided by a behaviour change framework and a template analysis was conducted using NVivo.

RESULTS

Interviewees identified three potential roles of a chatbot for supporting healthy eating in young adults; R1: improving healthy eating knowledge and facilitating discovery, R2: reducing time barriers related to healthy eating, R3: providing support and social engagement. To support R1, the following features were suggested: F1: chatbot generated recommendations and F2: triage to website information or externally (e.g., another website) to address current user needs. For R2, suggested features included F3: nudge or behavioural prompts at critical moments and F4: assist users to navigate healthy eating websites. Finally, to support R3 interviewees recommended the following features: F5: enhance interactivity, F6: offer useful anonymous support, F7: facilitate user connection with content in meaningful ways and F8: outreach adjuncts to website (e.g., emails). Additional 'general' chatbot features included authenticity, personalisation and effective and strategic development, while the preferred chatbot style and language included tailoring (e.g., age and gender), with a positive and professional tone. Finally, the preferred chatbot message subjects included training (e.g., would you like to see a video to make this recipe?), enablement (e.g., healthy eating doesn't need to be expensive, we've created a budget meal plan, want to see?) and education or informative approaches (e.g., "Did you know bananas are high in potassium which can aid in reducing blood pressure?").

CONCLUSION

Findings can guide chatbot designers and nutrition behaviour change researchers on potential chatbot roles, features, style and language and messaging in order to support healthy eating knowledge and behaviours in young adults.

Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review

BACKGROUND

Despite an abundance of digital health interventions (DHIs) targeting the prevention and management of noncommunicable diseases (NCDs), it is unclear what specific components make a DHI effective.

PURPOSE

This narrative umbrella review aimed to identify the most effective behavior change techniques (BCTs) in DHIs that address the prevention or management of NCDs.

METHODS

Five electronic databases were searched for articles published in English between January 2007 and December 2022. Studies were included if they were systematic reviews or meta-analyses of DHIs targeting the modification of one or more NCD-related risk factors in adults. BCTs were coded using the Behavior Change Technique Taxonomy v1. Study quality was assessed using AMSTAR 2.

RESULTS

Eighty-five articles, spanning 12 health domains and comprising over 865,000 individual participants, were included in the review. We found evidence that DHIs are effective in improving health outcomes for patients with cardiovascular disease, cancer, type 2 diabetes, and asthma, and health-related behaviors including physical activity, sedentary behavior, diet, weight management, medication adherence, and abstinence from substance use. There was strong evidence to suggest that credible source, social support, prompts and cues, graded tasks, goals and planning, feedback and monitoring, human coaching and personalization components increase the effectiveness of DHIs targeting the prevention and management of NCDs.

CONCLUSIONS

This review identifies the most common and effective BCTs used in DHIs, which warrant prioritization for integration into future interventions. These findings are critical for the future development and upscaling of DHIs and should inform best practice guidelines.

Personalized versus generic digital weight loss interventions delivered on university campuses: a 6-month cost-benefit analysis

Cost-effectiveness analyses of weight loss programs for university students can inform administrator decision-making. This study quantifies and compares the costs and cost-effectiveness of implementing two digitally-delivered weight loss interventions designed for university populations. Healthy Body Healthy U (HBHU) was a randomized controlled trial comparing TAILORED (personalized) versus TARGETED (generic) weight loss interventions adapted specifically for young adults to a CONTROL intervention. Participants (N = 459; 23.3 ± 4.4 years; mean BMI 31.2 ± 4.4 kg/m2) were recruited from two universities. Implementation costs were examined from a payer (i.e., university) perspective, comparing both the average cost effectiveness ratio (ACER) and the incremental cost effectiveness ratio (ICER) of the two interventions. Cost-effectiveness measures were calculated for changes in body weight, abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c. The overall 6-month implementation costs were $105.66 per person for the TAILORED intervention and $91.44 per person for the TARGETED intervention. The ACER for weight change was $107.82 for the TAILORED and $179.29 for the TARGETED interventions. The ICER comparing TAILORED with TARGETED for change in body weight was $5.05, and was even lower ($2.28) when including only those with overweight and not obesity. The ICERs for change in abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c were $3.49, $59.37, $1.57, $2.64, and $47.49, respectively. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention, particularly among those with overweight. Young adults with obesity may require more resource-intensive precision-based approaches.

Efficacy of technology-based personalised feedback on diet quality in young Australian adults: results for the advice, ideas and motivation for my eating (Aim4Me) randomised controlled trial

OBJECTIVE

Web-based dietary interventions could support healthy eating. The Advice, Ideas and Motivation for My Eating (Aim4Me) trial investigated the impact of three levels of personalised web-based dietary feedback on diet quality in young adults. Secondary aims were to investigate participant retention, engagement and satisfaction.

DESIGN

Randomised controlled trial.

SETTING

Web-based intervention for young adults living in Australia.

PARTICIPANTS

18-24-year-olds recruited across Australia were randomised to Group 1 (control: brief diet quality feedback), Group 2 (comprehensive feedback on nutritional adequacy + website nutrition resources) or Group 3 (30-min dietitian consultation + Group 2 elements). Australian Recommended Food Score (ARFS) was the primary outcome. The ARFS subscales and percentage energy from nutrient-rich foods (secondary outcomes) were analysed at 3, 6 and 12 months using generalised linear mixed models. Engagement was measured with usage statistics and satisfaction with a process evaluation questionnaire.

RESULTS

Participants (n 1005, 85 % female, mean age 21·7 ± 2·0 years) were randomised to Group 1 (n 343), Group 2 (n 325) and Group 3 (n 337). Overall, 32 (3 %), 88 (9 %) and 141 (14 %) participants were retained at 3, 6 and 12 months, respectively. Only fifty-two participants (15 % of Group 3) completed the dietitian consultation. No significant group-by-time interactions were observed (P > 0·05). The proportion of participants who visited the thirteen website pages ranged from 0·6 % to 75 %. Half (Group 2 = 53 %, Group 3 = 52 %) of participants who completed the process evaluation (Group 2, n 111; Group 3, n 90) were satisfied with the programme.

CONCLUSION

Recruiting and retaining young adults in web-based dietary interventions are challenging. Future research should consider ways to optimise these interventions, including co-design methods.

Eating Patterns of Young Women (18–25 y) with Overweight and Obesity: A Preliminary Investigation

Overweight and obesity impact up to 40% of young women in Australia; however, young women are challenging to recruit to research and are rarely the focus of weight loss interventions. This study aimed to examine dietary patterns in young women (18–25 years; BMI > 25 kg/m2). An analysis of participants’ (mean age: 22.6 year; BMI: 32.2 kg/m2) 3-day food records found young women with overweight/obesity consumed a diet characterised by total energy intake of 9174 (2526) kJ/day, with the first meal at 9:12 am (range: 4:30 am–12:40 pm), the last at 10:43 pm (range: 2:40 pm–2:00 am), and an average eating window of 11.5 h. Young women had poor quality diets, which did not meet dietary recommendations for most core food groups, and high intake of refined carbohydrates. They also reported consuming at least one takeaway meal per day and >30% of total energy intake was from discretionary items. The findings showed that young women with overweight or obesity consume most of their energy intake in the afternoons and late into the evenings and have poor-quality diets with high-discretionary intake, each of which have been shown in previous work to be associated with increased weight and risk of metabolic comorbidities. While these findings require further examination in larger groups with both qualitative and longitudinal data collection to verify the impact of these eating patterns on weight maintenance, the eating behaviours identified here may present a suitable target for novel weight loss interventions in young women, who are an understudied population group in need of tailored weight management solutions.

How to Prevent the Drop-Out: Understanding Why Adults Participate in Summative eHealth Evaluations

The aim of this study was to investigate why adults participate in summative eHealth evaluations, and whether their reasons for participating affect their (non-)use of eHealth. A questionnaire was distributed among adults (aged ≥ 18 years) who participated in a summative eHealth evaluation. This questionnaire focused on participants' reason to enroll, their expectations, and on whether the study met their expectations. Answers to open-ended questions were coded by two researchers independently. With the generalized estimating equations method we tested whether there is a difference between the type of reasons in use of the eHealth service. One hundred and thirty-one adults participated (64.9% female; mean age 62.5 years (SD = 10.5)). Their reasons for participating were mainly health-related (e.g., being more active). Between two types of motivations there was a difference in the use of the eHealth service: Participants with an intellectual motivation were more likely to drop out, compared to participants with an altruistic motivation. The most prevalent expectations when joining a summative eHealth evaluation were health-related (like expecting to improve one's health). 38.6% of the participants said their expectation was fulfilled by the study. In conclusion, We encourage eHealth evaluators to learn about adults' motivation to participate in their summative evaluation, as this motivation is very likely to affect their results. Including altruistically motivated participants biases the results by their tendency to continue participating in a study.

Dietary patterns and young adult body mass change: A 9-year longitudinal study

PURPOSE

While excessive weight gain is highest during young adulthood, the extent to which specific dietary patterns are associated with changes in measures of body mass in this course of life remains unknown. We aimed to examine the associations of dietary patterns at 21 years with changes in body weight and body mass index (BMI) between 21 and 30 years.

METHODS

We used data on young adults from a long-running birth cohort in Australia. Western and prudent dietary patterns were identified applying principal component analysis to 33 food groups obtained by a food frequency questionnaire at 21 years. Body weight and height were measured at 21 and 30 years. Multivariable regression models, using generalized estimating equations, were adjusted for concurrent changes in sociodemographic and lifestyle variables in evaluating the effect of identified dietary patterns on changes in weight and BMI over time.

RESULTS

In the fully adjusted model, young adults in the highest tertile of the Western pattern had a mean weight gain of 9.9 (95% CI 8.5, 11.3) kg compared to those in the lowest that had a mean weight gain of 7.1 (95% CI 5.6, 8.5) kg, P-for linear trend = 0.0015. The corresponding values for mean gains in BMI were 3.1 (95% CI 2.7, 3.6) kg/m² for young adults in the highest tertile compared to 2.4 (95% CI 1.9, 2.9) kg/m² for those in lowest, P-for linear trend = 0.0164. There was no evidence of a significant association between the prudent pattern and mean changes in each outcome over time in this study.

CONCLUSIONS

The findings of the current study show that greater adherence to the Western diet at 21 years was positively associated with increases in body weight and BMI from 21 to 30 years of age, whereas the prudent diet had no significant association with these outcomes. The findings provide evidence that the adverse effects of the Western diet on weight gain in young adulthood could partly be prevented through optimising diet in the early course of life.

Factors associated with weight gain prevention in young adults with serious mental illness

AIM

The purpose of this study was to examine factors associated with weight gain prevention among young adults with serious mental illness who participated in the Fit Forward randomized controlled trial evaluating lifestyle interventions adapted for this high-risk group. The aims were to: (1) examine baseline differences between participants that gained weight and those that lost or maintained weight at six and 12 months, and (2) evaluate whether changes in weight control strategies were associated with weight gain prevention at 6 and 12 months.

METHODS

This study was a secondary analysis of the Fit Forward Study. Participants were young adults (age 18-35) with a serious mental illness and a body mass index in the overweight or obese range. Participants completed assessments at baseline and 6 and 12 months. t-Tests and chi-squared tests were used to examine baseline differences between those that gained weight and those that lost/maintained weight. Logistic regression was used to evaluate whether changes in weight control strategies were associated with weight gain prevention in the sample overall.

RESULTS

Lower baseline BMI was significantly associated with weight gain prevention at six and 12 months. Greater increases in weight control strategies total score and psychological coping subscale were significantly associated with weight gain prevention at six and 12 months.

CONCLUSIONS

Weight control strategies, particularly psychological coping tools that support positive thinking and reduce negative self-talk should be considered as core strategies in healthy lifestyle interventions aimed at preventing weight gain in young adults with serious mental illness.

Development of eHealth-Based Behavior Change Support for Young Adults Using the Nine Principles Framework

Implementing behavior strategies into nutrition research requires consideration. The Nine Principles framework was used to develop an eHealth behavior change support (BCS) program to enhance young adults' adherence to (1) eating healthily and (2) recording dietary intake when participating in a randomized control trial. The Theory of Planned Behavior and qualitative focus group data informed a 10-week pilot of the BCS delivered on Facebook and texts. The BCS appeared to support optimal dietary recording and maintained dietary behaviors, suggesting using a framework underpinned by theory and user-centered design may be a promising avenue to enhance adherence in randomized control trials.

How Useful Are Digital Health Terms for Outcomes Research? An ISPOR Special Interest Group Report

OBJECTIVES

This study aimed to review definitions of digital health and understand their relevance for health outcomes research. Four umbrella terms (digital health, electronic health, mobile health, and telehealth/telemedicine) were summarized in this article.

METHODS

PubMed/MEDLINE, Embase, Cochrane Library, and EconLit were searched from January 2015 to May 2020 for systematic reviews containing key Medical Subject Headings terms for digital health (n = 38) and synonyms of "definition." Independent pairs of reviewers performed each stage of the review, with reconciliation by a third reviewer if required. A single reviewer consolidated each definition for consistency. We performed text analysis via word clouds and computed document frequency-and inverse corpus frequency scores.

RESULTS

The search retrieved 2610 records with 545 articles (20.9%) taken forward for full-text review. Of these, 39.3% (214 of 545) were eligible for data extraction, of which 134 full-text articles were retained for this analysis containing 142 unique definitions of umbrella terms (digital health [n = 4], electronic health [n = 36], mobile health [n = 50], and telehealth/telemedicine [n = 52]). Seminal definitions exist but have increasingly been adapted over time and new definitions were created. Nevertheless, the most characteristic words extracted from the definitions via the text analyses still showed considerable overlap between the 4 umbrella terms.

CONCLUSIONS

To focus evidence summaries for outcomes research purposes, umbrella terms should be accompanied by Medical Subject Headings terms reflecting population, intervention, comparator, outcome, timing, and setting. Ultimately a functional classification system is needed to create standardized terminology for digital health interventions denoting the domains of patient-level effects and outcomes.

Effect of a Lifestyle Intervention on Cardiometabolic Health Among Emerging Adults: A Randomized Clinical Trial

IMPORTANCE

The prevalence of obesity has increased substantially among emerging adults, yet no previous large-scale behavioral weight loss trials have been conducted among this age group.

OBJECTIVE

To test the effect of 2 theory-based motivational enhancements on weight loss within a primarily digital lifestyle intervention designed for emerging adults.

DESIGN, SETTING, AND PARTICIPANTS

In this randomized clinical trial conducted at an academic medical research center, 382 participants aged 18 to 25 years with a body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 25 to 45 were enrolled between February 2, 2016, and February 6, 2019. Data collection was completed February 8, 2020. Analysis was performed on an intention-to-treat basis.

INTERVENTIONS

Participants were randomized to 1 of 3 groups: developmentally adapted behavioral weight loss (aBWL), aBWL plus behavioral economics (aBWL + BE), or aBWL plus self-determination theory (aBWL + SDT). All groups received a 6-month intervention with 1 group session, 1 individual session, and a digital platform (digital tools for self-monitoring, weekly lessons, tailored feedback, text messages, and optional social media). The aBWL + BE group received modest financial incentives for self-monitoring and weight loss; the aBWL + SDT group received optional experiential classes. Coaching and message framing varied by group.

MAIN OUTCOMES AND MEASURES

The primary outcome was mean (SE) weight change (in kilograms) at 6 months. Secondary outcomes included proportion of participants achieving weight loss of 5% or more, percentage weight change, waist circumference, body composition, and blood pressure.

RESULTS

Among the 382 participants (mean [SD] age, 21.9 [2.2] years), 316 (82.7%) were female, mean (SD) BMI was 33.5 (4.9), 222 (58.1%) were of underrepresented race and/or ethnicity, and 320 (83.8%) were retained at the primary end point. There was a significant time effect for mean (SE) weight loss (-3.22 [0.55] kg in the aBWL group; -3.47 [0.55] kg in the aBWL + BE group; and -3.40 [0.53] kg in the aBWL + SDT group; all P < .001), but no between-group differences were observed (aBWL vs aBWL + BE: difference, -0.25 kg [95% CI, -1.79 to 1.29 kg]; P = .75; aBWL vs aBWL + SDT: difference, -0.18 kg [95% CI, -1.67 to 1.31 kg]; P = .81; and aBWL + SDT vs aBWL + BE: difference, 0.07 kg [95% CI, -1.45 to 1.59 kg]; P = .93). The proportion of participants achieving a weight loss of 5% or more was 40.0% in the aBWL group (50 of 125), 39.8% in the aBWL + BE group (51 of 128), and 44.2% in the aBWL + SDT group (57 of 129), which was not statistically different across groups (aBWL vs aBWL + BE, P = .89; aBWL vs aBWL + SDT, P = .45; aBWL + SDT vs aBWL + BE, P = .54). Parallel findings were observed for all secondary outcomes-clinically and statistically significant improvements with no differences between groups.

CONCLUSIONS AND RELEVANCE

In this randomized clinical trial, all interventions produced clinically significant benefit, but neither of the motivational enhancements promoted greater reductions in adiposity compared with the developmentally adapted standard group. Continued efforts are needed to optimize lifestyle interventions for this high-risk population and determine which intervention works best for specific individuals based on sociodemographic and/or psychosocial characteristics.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02736981.

What Intervention Elements Drive Weight Loss in Blended-Care Behavior Change Interventions? A Real-World Data Analysis with 25,706 Patients

BACKGROUND

Blended-care behavior change interventions (BBCI) are a combination of digital care and coaching by health care professionals (HCP), which are proven effective for weight loss. However, it remains unclear what specific elements of BBCI drive weight loss.

OBJECTIVES

This study aims to identify the distinct impact of HCP-elements (coaching) and digital elements (self-monitoring, self-management, and education) for weight loss in BBCI.

METHODS

Long-term data from 25,706 patients treated at a digital behavior change provider were analyzed retrospectively using a ridge regression model to predict weight loss at 3, 6, and 12 months.

RESULTS

Overall relative weight loss was -1.63 kg at 1 month, -3.61 kg at 3 months, -5.28 kg at 6 months, and -6.55 kg at 12 months. The four factors of BBCI analyzed here (coaching, self-monitoring, self-management, and education) predict weight loss with varying accuracy and degree. Coaching, self-monitoring, and self-management are positively correlated with weight losses at 3 and 6 months. Learn time (i.e., self-guided education) is clearly associated with a higher degree of weight loss. Number of appointments outside of app coaching with a dietitian (coach) was negatively associated with weight loss.

CONCLUSIONS

The results testify to the efficacy of BBCI for weight loss-with particular positive associations per time point-and add to a growing body of research that characterizes the distinct impact of intervention elements in real-world settings, aiming to inform the design of future interventions for weight management.

Exploring the Influence of Determinants on Behavior Intention to Use of Multiple Media Kiosks Through Technology Readiness and Acceptance Model

The use of multiple media kiosks (MMKs) is witnessing an increasingly strong uptrend in 24-h chain convenient stores in developed countries. However, as the functions of MMKs intensifies and increases, how to retain consumers has been a topic that raises concerns of managers and researchers. In this study, we adopt the integrated technology acceptance model, which combines technology readiness and acceptance model with interactivity that serves as the moderating factor, with the purpose of discussing the relationships among all these variables and their impacts on behavior intention to use. Through the cross-sectional survey and purposive sampling, a total of 623 copies of questionnaire from Taiwan were collected in this study. Smart-PLS for PLS-SEM was applied in the structural model to conduct a verification of the hypotheses and comparative analysis in this study. The results show that all hypotheses were significantly supported; technology readiness has a positive impact on perceived ease to use and perceived usefulness; and interactivity also positively moderates the relationship among perceived ease to use, perceived usefulness and attitude toward using. Our results will offer more insights and advice concerning theories of service technology.

Participatory design application in obesity prevention targeting young adults and adolescents: a mixed-methods systematic scoping review protocol

BACKGROUND

Prevention of obesity is economically and sociologically preferable to treatment, with early intervention key to preventing excess weight gain and obesity. The transition from adolescence to young adulthood is a critical intervention period. An expert-led, top-down model has dominated obesity prevention research and practice with limited success. Participatory design (PD) offers potential in transforming obesity prevention research and practice by delivering bottom-up solutions that young people value and may therefore voluntarily engage with over time. An evidence synthesis of PD application in obesity prevention targeting adolescents and young adults is currently lacking.

OBJECTIVES

Report the protocol for a mixed-methods systematic scoping review which aims to integrate and synthesise available evidence on PD application in obesity prevention targeting adolescents and young adults. Specifically, the review will address three research questions: RQ1: How is PD defined in obesity prevention interventions targeting adolescents and young adults? RQ2: To what extent is PD applied in obesity preventions interventions targeting adolescents and young adults? RQ3a: How is the utility of PD evaluated in obesity preventions interventions targeting adolescents and young adults? RQ3b: What is the utility of PD application in obesity prevention interventions targeting adolescents and young adults?

METHODS

This mixed-methods systematic scoping review protocol adheres to the PRISMA-P guidelines and is informed by the PRISMA extension for scoping reviews (PRISMA-ScR). The search strategy and eligibility criteria are informed by the sample, phenomenon of interest, design, evaluation, and research type tool. Eligible studies will be peer-reviewed literature published in English, reporting on PD application in obesity prevention interventions (including intervention development, implementation, and/or evaluation) targeting adolescents and young adults (aged 10-35 years). Study designs will include qualitative, quantitative, and mixed methods. The review will comprise a systematic literature search, eligibility screening, data extraction, quality assessment using the Mixed-Methods Appraisal Tool (MMAT), and data analysis using an iterative narrative evidence synthesis approach. Evidence on PD application will be thematically integrated in terms of who was involved, when they were involved, and how and why they were involved. Further thematic analyses will be conducted according to the MATE taxonomy and the United Kingdom Medical Research Council (UK MRC's) key functions of process evaluations. The MATE taxonomy classifies PD application in terms of methodology, agent of change, training, and engagement. The MRC describes three functions of process evaluations: implementation, mechanisms of impact, and context. Applying both in the evidence synthesis is intended to provide a more complete picture of PD application. Exploratory analyses will be conducted to assess any potential associations between PD application and effectiveness across key outcomes (weight, physical activity, sedentary time, nutrition and dietary habit, mental health, and sleep) reported within intervention evaluations.

CONCLUSIONS

Elucidating PD application is a prerequisite to establishing its utility. Through the location and synthesis of available evidence on PD application in obesity prevention targeting adolescents and young adults, this review will categorise and describe different methods of PD application and explore the utility of PD application including whether any differences may be observed between PD method applied and the effectiveness of obesity prevention interventions. Implications will be delineated from the narrative evidence synthesis to inform future research and advance practice in this context.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021268240.

Weight Loss Trajectories in Healthy Weight Coaching: Cohort Study

Background

As global obesity prevalence continues to increase, there is a need for accessible and affordable weight management interventions, such as web-based programs.

Objective

This paper aims to assess the outcomes of healthy weight coaching (HWC), a web-based obesity management program integrated into standard Finnish clinical care.

Methods

HWC is an ongoing, structured digital 12-month program based on acceptance and commitment therapy. It includes weekly training sessions focused on lifestyle, general health, and psychological factors. Participants received remote one-on-one support from a personal coach. In this real-life, single-arm, prospective cohort study, we examined the total weight loss, weight loss profiles, and variables associated with weight loss success and program retention in 1189 adults (963 women) with a BMI >25 kg/m² among participants of the program between October 2016 and March 2019. Absolute (kg) and relative (%) weight loss from the baseline were the primary outcomes. We also examined the weight loss profiles, clustered based on the dynamic time-warping distance, and the possible variables associated with greater weight loss success and program retention. We compared different groups using the Mann-Whitney test or Kruskal-Wallis test for continuous variables and the chi-squared test for categorical variables. We analyzed changes in medication using the McNemar test.

Results

Among those having reached the 12-month time point (n=173), the mean weight loss was 4.6% (SE 0.5%), with 43% (n=75) achieving clinically relevant weight loss (≥5%). Baseline BMI ≥40 kg/m² was associated with a greater weight loss than a lower BMI (mean 6.6%, SE 0.9%, vs mean 3.2%, SE 0.6%; P=.02). In addition, more frequent weight reporting was associated with greater weight loss. No significant differences in weight loss were observed according to sex, age, baseline disease, or medication use. The total dropout rate was 29.1%. Dropouts were slightly younger than continuers (47.2, SE 0.6 years vs 49.2, SE 0.4 years; P=.01) and reported their weight less frequently (3.0, SE 0.1 entries per month vs 3.3, SE 0.1 entries per month; P<.001).

Conclusions

A comprehensive web-based program such as HWC is a potential addition to the repertoire of obesity management in a clinical setting. Heavier patients lost more weight, but weight loss success was otherwise independent of baseline characteristics.

Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study

Background

Human-centered dietary decision support systems are fundamental to diabetes management, and they address the limitations of existing diet management systems.

Objective

The objective of the proposed study is to evaluate the use of an interactive, telephone-linked, personalized, human-centered decision support system for facilitating the delivery of personalized nutrition care for patients with diabetes.

Methods

A quasi-experimental trial was conducted between the period of June and December 2018. Study participants were recruited from Community Health Center, Dharamshala, Kangra (urban population), and Model Rural Health Unit, Haroli Block, Una (rural population). Eligible participants included adults aged ≥30 years with controlled or uncontrolled diabetes, those who agreed to participate in the study, those who were available for follow-up interviews, and those with a telephone or computer at home. Diabetic status was determined via a physician’s diagnosis. Individuals with mental or physical challenges that affected their ability to use an electronic diet record, those who were not available for a telephone follow-up, and those who were involved in other protocols related to dietary assessments were excluded. The study participants were randomized into the following two groups: the intervention group (telephone-linked dietary decision support system) and the control group (paper-based diet record). Study participants in the intervention group recorded their daily dietary intake by using a telephone-linked, personalized, human-centered dietary decision support system and received personalized feedback and diet education via SMS text messaging. Study participants in the control group were provided with only a paper-based diet record for documenting their daily dietary intake. Follow-up visits were conducted at 3 and 6 months from the baseline in both groups. Differences in diabetes knowledge, attitudes, and practices will be measured across groups.

Results

The collection of baseline data from 800 study participants in both the intervention (n=400) and control groups (n=400), which were stratified by urban (control group: n=200; intervention group: n=200) and rural settings (control group: n=200; intervention group: n=200), has been completed. Follow-up data collection for months 3 and 6 is ongoing and is expected to be completed by October 2019.

Conclusions

We anticipate that the intervention group will show significant changes in nutrition knowledge, attitudes, and practices; satisfaction with care; and overall diabetes management. We also expect to see urban-rural differences across the groups. The uniqueness of our nutrient data capture process is demonstrated by its cultural and contextually relevant features—diet capture in both English and Hindi, diet conversion into caloric components, sustained diet data collection and participant adherence through telephone-linked care, and auto-generated reminders.

International Registered Report Identifier (IRRID)

DERR1-10.2196/13635

The effectiveness of e-health interventions for the treatment of overweight or obesity in children and adolescents: A systematic review and meta-analysis

The aim of this systematic review and meta-analysis was to examine the effectiveness of e-health interventions for the treatment of children and adolescents with overweight or obesity. Databases were searched up to November 2020. Studies were randomized controlled trials where interventions were delivered via e-health (e.g., computers, tablets, and smartphones, but not phone calls). Studies should target the treatment of overweight or obesity in children or their agent of changes and report body mass index (BMI) or BMI z-score. A meta-analysis using a random-effects model was conducted. Nineteen studies met the inclusion criteria, and 60% were of high quality. The narrative review revealed variation in behavior change strategies and modes of delivery. The pooled mean reduction in BMI or BMI z-score showed evidence for a nonzero effect (standardized mean difference = -0.31, 95% confidence interval -0.49 to -0.13), with moderately high heterogeneity between studies (I²  = 74%, p < 0.001). Subgroup analysis revealed high heterogeneity in studies with a high or unclear risk of bias. E-health interventions can be effective in treating children and adolescents with overweight and obesity and should be considered by practitioners and policymakers. However, an understanding of the most effective and acceptable intervention components, long-term benefits, and sustainability should be further studied.

Behaviour Change Techniques in Weight Gain Prevention Interventions in Adults of Reproductive Age: Meta-Analysis and Meta-Regression

Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.

What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review

Background: Lifestyle Medicine (LM) aims to address six main behavioral domains: diet/nutrition, substance use (SU), physical activity (PA), social relationships, stress management, and sleep. Digital Health Interventions (DHIs) have been used to improve these domains. However, there is no consensus on how to measure lifestyle and its intermediate outcomes aside from measuring each behavior separately. We aimed to describe (1) the most frequent lifestyle domains addressed by DHIs, (2) the most frequent outcomes used to measure lifestyle changes, and (3) the most frequent DHI delivery methods. Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) Extension for Scoping Reviews. A literature search was conducted using MEDLINE, Cochrane Library, EMBASE, and Web of Science for publications since 2010. We included systematic reviews and meta-analyses of clinical trials using DHI to promote health, behavioral, or lifestyle change. Results: Overall, 954 records were identified, and 72 systematic reviews were included. Of those, 35 conducted meta-analyses, 58 addressed diet/nutrition, and 60 focused on PA. Only one systematic review evaluated all six lifestyle domains simultaneously; 1 systematic review evaluated five lifestyle domains; 5 systematic reviews evaluated 4 lifestyle domains; 14 systematic reviews evaluated 3 lifestyle domains; and the remaining 52 systematic reviews evaluated only one or two domains. The most frequently evaluated domains were diet/nutrition and PA. The most frequent DHI delivery methods were smartphone apps and websites. Discussion: The concept of lifestyle is still unclear and fragmented, making it hard to evaluate the complex interconnections of unhealthy behaviors, and their impact on health. Clarifying this concept, refining its operationalization, and defining the reporting guidelines should be considered as the current research priorities. DHIs have the potential to improve lifestyle at primary, secondary, and tertiary levels of prevention-but most of them are targeting clinical populations. Although important advances have been made to evaluate DHIs, some of their characteristics, such as the rate at which they become obsolete, will require innovative research designs to evaluate long-term outcomes in health.

eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews

A vast body of evidence regarding eHealth interventions for nutrition, physical activity, sedentary behavior, and obesity exists. This scoping review of systematic reviews aimed to evaluate the current level of evidence in this growing field. Seven electronic databases were searched for systematic reviews published until October 27, 2019. The systematic reviews must have included adult participants only and have evaluated eHealth behavioral interventions with the primary aim of changing nutrition, physical activity, and sedentary behavior or treating or preventing overweight and obesity. One hundred and six systematic reviews, published from 2006 to 2019, were included. Almost all (n = 98) reviews evaluated the efficacy of interventions. Over half (n = 61) included interventions focused on physical activity, followed by treatment of obesity (n = 28), nutrition (n = 22), prevention of obesity (n = 18), and sedentary behavior (n = 6). Many reviews (n = 46) evaluated one type of eHealth intervention only, while 60 included two or more types. Most reviews (n = 67) were rated as being of critically low methodological quality. This scoping review identified an increasing volume of systematic reviews evaluating eHealth interventions. It highlights several evidence gaps (e.g., evaluation of other outcomes, such as reach, engagement, or cost effectiveness), guiding future research efforts in this area.

Preventing weight gain in adults: A systematic review and meta-analysis of randomized controlled trials

Weight gain prevention is a global public health priority to address escalating adiposity in adults. This review evaluates the efficacy of weight gain prevention trials targeting adults aged 18-50 years and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Trials of any duration from inception to May 2020 that evaluated a weight gain prevention intervention (using either prescriptive diet, prescriptive physical activity, prescriptive diet, and/or physical activity or non-prescriptive lifestyle) and included weight or body mass index (weight [kg]/height [m² ]) were eligible. Twenty-nine trials across 34 publications (participants n = 37,407) were included. Intervention resulted in less weight gain compared with controls (-1.15 kg [95% CI -1.50, -0.80 kg] p < 0.001). Subgroup analysis demonstrated greater effectiveness with prescriptive (-1.60 kg [95% CI -2.00, -1.19] p < 0.001) compared with non-prescriptive (-0.81 kg [95% CI 1.10, -0.53] p < 0.001) intervention types. Interventions had greatest impact in healthy weight (18.5-24.9 kg/m² ) (-0.82 kg [95% CI -1.5, -0.50] p < 0.001) or overweight (25.0-29.9 kg/m² ) (-1.48 kg [95% CI -1.85, -1.12] p < 0.001) compared with obese populations (≥30.0 kg/m² ) (-0.56 kg [95% CI -1.40, 0.27] p = 0.19). These findings demonstrate that lifestyle intervention prevents cumulative weight gain in non-obese adults, with future research required to inform cost-effectiveness and implementation feasibility.

Effect of tailoring on weight loss among young adults receiving digital interventions: an 18 month randomized controlled trial

Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m2), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity.

Effective behavior change techniques to promote physical activity in adults with overweight or obesity: A systematic review and meta-analysis

Multicomponent behavior change interventions are typically used in weight management, but results are largely heterogeneous and modest. Determining which techniques (behavior change technique [BCTs]) are more effective in changing behavior is thus required. This study aimed to identify the most effective BCTs for increasing physical activity (PA) in digital and face-to-face behavior change interventions in adults with overweight/obesity. Four databases were searched for eligible studies until October 2019. BCTs were coded using BCTTv1 and MBCT taxonomies. Sixty-two RCTs were included. Meta-regressions were performed to explore BCTs' moderating role. Five BCTs showed significant moderator effects on PA in digital interventions: goal setting behavior, goal setting outcome, graded tasks, social incentive, and self-monitoring of behavior (adjusted R² 's = 0.15-0.51). One BCT showed significant moderator effects on PA in face-to-face interventions, behavioral practice and rehearsal (adjusted R²  = 0.22). Multivariate and sensitivity analysis generally led to similar findings. Effective BCTs for increasing PA in adults with overweight/obesity in digital and face-to-face interventions seem to differ. Evidence suggests that using goal setting, social incentive, and graded tasks might help improve PA in digital interventions while avoiding inconsistent self-monitoring of behavior. In face-to-face interventions, prompting behavioral practice and rehearsal might lead to better PA outcomes. Still, further studies are needed. Implications of the current findings are discussed.

Capability, opportunity, and motivation: an across contexts empirical examination of the COM-B model

BACKGROUND

There is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity.

METHODS

A cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult's eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18-35 years. Models were specified and tested using structural equation modelling.

RESULTS

A total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model (N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model (N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators.

CONCLUSIONS

Findings support the COM-B model's explanatory potential in the context of young adult's physical activity and eating behaviours. Barriers and enablers underlying young adult's physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.

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.

Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature

OBJECTIVE

To describe strategies used to recruit and retain young adults in nutrition, physical activity and/or obesity intervention studies, and quantify the success and efficiency of these strategies.

DESIGN

A systematic review was conducted. The search included six electronic databases to identify randomised controlled trials (RCT) published up to 6 December 2019 that evaluated nutrition, physical activity and/or obesity interventions in young adults (17-35 years). Recruitment was considered successful if the pre-determined sample size goal was met. Retention was considered acceptable if ≥80 % retained for ≤6-month follow-up or ≥70 % for >6-month follow-up.

RESULTS

From 21 582 manuscripts identified, 107 RCT were included. Universities were the most common recruitment setting used in eighty-four studies (79 %). Less than half (46 %) of the studies provided sufficient information to evaluate whether individual recruitment strategies met sample size goals, with 77 % successfully achieving recruitment targets. Reporting for retention was slightly better with 69 % of studies providing sufficient information to determine whether individual retention strategies achieved adequate retention rates. Of these, 65 % had adequate retention.

CONCLUSIONS

This review highlights poor reporting of recruitment and retention information across trials. Findings may not be applicable outside a university setting. Guidance on how to improve reporting practices to optimise recruitment and retention strategies within young adults could assist researchers in improving outcomes.

Applying RE-AIM to Evaluate the External Validity of Weight Gain Prevention Interventions in Young Adults: A Systematic Review

OBJECTIVES

The purpose of this review was to use RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) to assess the extent to which weight gain prevention studies targeting young adults reported on elements of external validity.

DESIGN

Systematic review.

ELIGIBILITY CRITERIA

Articles of interest included a lifestyle/behavioral intervention targeting weight gain prevention. Eligibility criteria included the following: study design of randomized controlled trials, quasi-randomized control trials, or natural experiments; average participant age between 18 and 35 years; study duration of at least 12 months; and published in English between January 2008 and May 2018. Studies had to report weight or body mass index as a measured outcome and were excluded if they were paired with smoking cessation programs, were conducted in specific groups (ie, pregnant women, breast cancer survivors), or were follow-ups to weight loss studies.

STUDY SELECTION

After removing duplicates, the search yielded 11426 articles. Titles and abstracts were screened by 1 reviewer; 144 articles were assessed in a full-text review by 2 reviewers. Discrepancies were resolved by consensus. Nine studies (13 articles) were included in the review.

MAIN OUTCOMES MEASURES

Reported elements of the RE-AIM framework.

RESULTS

A total of 9 studies met the selection criteria. All studies lacked full reporting on external validity elements. Of the total of 60 RE-AIM reporting criteria, 8 were reported by all 9 studies, 26 criteria were reported by fewer than 4 studies, and 22 criteria were not reported by any of the studies.

DISCUSSION

There remains inadequate reporting of elements of external validity and generalizability in weight gain prevention studies. This is a significant scientific constraint that limits the information required to disseminate and implement prevention of weight gain interventions for population impact. Standardized reporting may be needed to ensure results that demonstrate not only internal validity but also external validity and generalizability are needed to promote public health impact.

Lifestyle Changes and Weight Gain: A 2-Year Follow-up Study of Japanese Workers

OBJECTIVE

To examine age-dependent trends in weight and lifestyle changes in Japanese workers.

METHODS

Using annual health examination data, 60,143 eligible Japanese workers aged 20 to 59 years were examined for their 2-year changes in weight and smoking, eating, exercise, drinking, and sleep habits.

RESULTS

Young male workers aged 20 to 24 years showed the greatest weight gain and the highest incidence of unhealthy lifestyle habits. Multivariate analyses indicated that quitting "exercise less than two times/week," "walking less than 60 min/d," and "smoking everyday" contributed to weight gain to a considerable extent except in young female workers aged 20 to 24 years.

CONCLUSIONS

Greater weight gain associated with unhealthy lifestyle changes tended to occur in early rather than middle-to-old adulthood. It is important to deliver health promotion programs targeting young male workers.

Effectiveness of gender-targeted versus gender-neutral interventions aimed at improving dietary intake, physical activity and/or overweight/obesity in young adults (aged 17-35 years): a systematic review and meta-analysis

BACKGROUND

Young adulthood has become synonymous with the development of poor lifestyle behaviours associated with an increased risk of preventable chronic disease in later years. Interventions aiming to improve health behaviours may be more engaging and effective if they are targeted to males or females than interventions with a gender-neutral approach. This review will examine the outcome effectiveness of gender-targeted and gender-neutral interventions targeting nutrition, physical activity or overweight/obesity in young adults (17-35 years).

METHODS

Six electronic databases were searched for randomised controlled trials (RCTs) published up to December 2019 that evaluated nutrition, physical activity and/or overweight/obesity interventions in young adults (17-35 years). An effective intervention was one where the change in one or more primary outcome was positive and statistically significantly different from baseline, compared with control, or if no control comparator, compared with another active intervention. Effectiveness of outcomes was compared between gender-targeted and gender-neutral studies.

RESULTS

In total 21,582 manuscripts were identified and 107 RCTs were included; 30 gender-targeted studies (28%) and 77 gender-neutral (72%). Most gender-targeted studies were female targeted (n = 22, 73%). Primary outcome/s were adiposity (n = 36, 34%), nutrition (n = 29, 27%), physical activity (n = 28, 26%), or a combination of (n = 14, 14%). A greater proportion of gender-targeted than gender-neutral studies were effective in improving nutrition (n = 6, 100% and n = 17, 74% of studies respectively) and physical activity outcomes (n = 6, 86% and n = 14, 67% respectively), where as a greater proportion of gender-neutral studies were effective in improving adiposity outcomes (n = 13, 59% and n = 5, 36% respectively). None of these differences were statistically significant. Meta-analyses for weight found no significant differences between gender-targeted and gender-neutral studies for weight loss or weight gain prevention studies. Meta-analysis for fruit and vegetable intake demonstrated a significantly greater increase in intervention participants in gender-targeted studies of +158 g/day for > 3 months.

CONCLUSIONS

Although differences in outcome effectiveness were identified between gender-targeted and gender-neutral studies, these were not significantly different. This is likely due to an insufficient number of studies to detect a difference. The meta-analysis for fruit and vegetable intake findings should be interpreted with caution due to including only two gender-targeted studies. The findings collectively are suggestive of a potential difference requiring further investigation. To truly determine the effectiveness of gender-targeted interventions, well-designed RCTs comparing gender-targeted interventions with gender-neutral and control are needed.

REGISTRATION

This systematic review is a secondary analysis of studies included in a systematic review examining the effectiveness of interventions targeting nutrition, physical activity, or overweight/obesity in young adults, for which a predefined protocol was registered with PROSPERO (CRD42017075795).

Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials

Young adulthood is associated with the highest rate of weight gain compared with any other adult age group. This review evaluates the effectiveness of interventions with adiposity outcomes among young adults and identifies which behaviour change techniques (BCTs) are most effective. BCT utilization was assessed using Michie's 93-item BCT Taxonomy v1. Six electronic databases were searched for randomized controlled trials assessing change in adiposity in young adults (17-35 years) until December 2019; identifying 21,582 articles. Fifty-one studies were included. Meta-analyses for weight (n=19 studies), body mass index (BMI) (n=20 studies), and waist circumference (n=10 studies) demonstrated no significant between-group differences at ≤3 or >3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.

Application and effectiveness of eHealth strategies for metabolic and bariatric surgery patients: A systematic review

OBJECTIVE

To date the application of eHealth strategies among adults and adolescents undergoing metabolic and bariatric surgery (MBS) has not been systematically reviewed. This study comprehensively examines eHealth intervention studies among MBS patients within the RE-AIM framework to assess reach, effectiveness, adoption, implementation and maintenance of these efforts.

METHODS

A search was conducted using PubMed, EMBASE, CINAHL, PsycNET and SCOPUS of original research relating to eHealth strategies for MBS patients published in peer-reviewed journals and revealed 38 published articles between 2011 and 2019.

RESULTS

Studies varied widely in terms of design (qualitative to randomized controlled trials) and eHealth delivery method (telemedicine to blog post content) with a balance of pre- or post-MBS use. No studies included adolescents and very few reported (1) a conceptual framework to support study design/outcomes; and (2) race/ethnicity composition.

CONCLUSIONS

Although some studies report that eHealth strategies/interventions are effective in producing post-MBS weight loss and other positive health outcomes, most are pilot studies or have study design limitations. There is an opportunity for development of (1) tailored eHealth interventions to support pre- and post-MBS sustained behavior change and improved outcomes; and (2) rigorous studies that employ robust conceptual frameworks so dissemination and implementation efforts can be mapped to construct-driven outcomes.

Reported theory use in electronic health weight management interventions targeting young adults: a systematic review

This review assesses the extent of reported theory use in electronic health weight management interventions targeting young adults aged 18-35 years. Twenty-four eligible studies were identified. Two independent reviewers extracted data and coded for theory use using the Theory Coding Scheme. Overall, the mean total use of theory score was 6/23 (SD = 5; Min. = 0, Max. = 17); 17 studies were classified as having weak application of theory, five as moderate, and two as strong. The majority (N = 18) of studies mentioned theory, however, most (N = 14) did not report how intervention techniques related to theoretical base. No study used theory to select intervention recipients and only four used theory to tailor intervention techniques to recipients. Limited studies reported theory testing (N = 6) and no study used intervention results to build and/or refine theory. Results indicate that weight-related outcomes may be enhanced when at least one or more theoretical constructs are explicitly linked to an intervention technique and when theoretical constructs are included in evaluations. Increases in theory application and reporting are needed to assist the scientific research community in systematically identifying which theories work, for whom, how, why, and when; thereby delivering an advanced understanding of how best to apply theory to enhance intervention outcomes.

Effectiveness of Interventions and Behaviour Change Techniques for Improving Dietary Intake in Young Adults: A Systematic Review and Meta-Analysis of RCTs

Poor eating habits are common during young adulthood and influence chronic disease morbidity. This systematic review evaluates the effectiveness of interventions aiming to improve dietary intake among young adults and, identifies which behaviour change techniques (BCTs) are most effective. Six electronic databases were searched for RCTs published until October 2018, and evaluating behavioural interventions assessing change in dietary intake in young adults (17–35 years). Of the 18,779 articles identified, 54 were included. Forty studies focused on fruit and/or vegetable intake, of which 63% showed a significant between-group difference in favour of the intervention group. Meta-analysis (n = 17) demonstrated a significant increase in fruit and vegetable intake of +68.6 g/day after three months of intervention and +65.8 g/day for interventions >3 months when compared to control. A meta-analysis (n = 5) on total energy intake found no significant differences between groups. The BCTs with the highest effectiveness ratio were habit formation (100%), salience of consequences (83%) and adding objects to the environment (70%). The review highlights the potential of behavioural interventions to improve young adults’ fruit and vegetable intake but was less convincing for other dietary outcomes. Due to the lack of studies including each BCT, the BCTs imperative to success could not be identified.