Identifying Factors Which Influence Eating Disorder Risk during Behavioral Weight Management: A Consensus Study

Enough with simplifying: "eat less and move more": at what point are we with the treatment of excess weight in paediatrics?

BACKGROUND

For years politics and healthcare, faced with the progressive increase in the prevalence of overweight and obesity in childhood, have wondered how to stem it and reduce its consequences on health without finding a valid, effective and applicable solution. Many studies have been written initially on what to prescribe, then on why not to prescribe and how to approach people in a new and more effective way to improve their behaviors, considered the main cause of excess weight. Over the last twenty years it has been highlighted that no diet or physical exercise is truly effective and not even global changes in lifestyle guarantee the large weight reductions traditionally expected, despite offering significant health advantages. A new approach is necessary and we must begin by working on ourselves.

MAIN BODY

We examined literature on weight stigma and considered expert opinions, as well as feedback from parents/caregivers and patients. Literature on stigma has grown enormously in recent years, and finally considers the opinion of parents and patients. By interviewing patients with obesity, it was discovered that very often healthcare workers do not communicate the diagnosis and, if they do, they have a blaming attitude, holding patients responsible for their weight. Furthermore, when these people become aware of their obesity and seek treatment, they do not find adequate professionals and centers. Failure was mostly due to the enormous burden of obesity stigma and discrimination which, especially in children and young people, encourages internalization of the problem and takes away their self-efficacy, desire and ability to take care of themselves.

CONCLUSIONS

New actions are needed to change all this. We propose "Training, Networking and Contrasting Weight Stigma". Now that we've figured out where to start, we should get going. And yet, nothing is changing!

A three-arm randomised controlled trial of a telehealth intervention targeting improvement in addictive eating for Australian adults (the TRACE program)

There is a substantial research base for addictive eating with development of interventions. The current 3-arm RCT aimed to investigate the efficacy of the TRACE (Targeted Research for Addictive and Compulsive Eating) program to decrease addictive eating symptoms and improve mental health. Participants (18-85 yrs) endorsing ≥3 addictive eating symptoms were randomly allocated to 1) active intervention, 2) passive intervention, or 3) control group. Primary outcome was change in addictive eating symptoms 3-months post-baseline measured by the Yale Food Addiction Scale. Depression, anxiety and stress were also assessed. A total of 175 individuals were randomised. Using Linear Mixed Models, from baseline to 3-months, there was significant improvement in symptom scores in all groups with mean decrease of 4.7 (95% CI: -5.8, -3.6; p < 0.001), 3.8 (95% CI: -5.2, -2.4; p < 0.001) and 1.5 (95% CI: -2.6, -0.4; p = 0.01) respectively. Compared with the control group, participants in the active intervention were five times more likely to achieve a clinically significant change in symptom scores. There was a significant reduction in depression scores in the active and passive intervention groups, but not control group [-2.9 (95% CI: -4.5, -1.3); -2.3 (95% CI: -4.3, -0.3); 0.5 (95% CI: -1.1, 2.1), respectively]; a significant reduction in stress scores within the active group, but not passive intervention or control groups [-1.3 (95% CI: -2.2, -0.5); -1.0 (95% CI: -2.1, 0.1); 0.4 (95% CI: -0.5, 1.2), respectively]; and the reduction in anxiety scores over time was similar for all groups. A dietitian-led telehealth intervention for addictive eating in adults was more effective than a passive or control condition in reducing addictive eating scores from baseline to 6 months. Trial registration: Australia New Zealand Clinical Trial Registry ACTRN12621001079831.

Participant recruitment for paediatric research using social media: A practical 'how-to' guide for researchers

AIM

Social media platforms are being increasingly used to support participant recruitment into paediatric health-related research. This study aimed to develop a multi-phase approach for using social media as a recruitment strategy for paediatric research studies.

METHODS

The process was informed by the authors' prior experiences recruiting for paediatric obesity-related research studies, expertise in social media marketing and digital participant/ patient recruitment. Reflection on these experiences resulted in the iterative creation of a draft process which was further refined. A narrative literature review using a structured search was conducted to refine and augment the content and finalise the process.

RESULTS

A six-phase recruitment approach was developed that includes: (i) plan for social media use as a recruitment strategy, (ii) explore relevant ethical considerations to protect the wellbeing of potentially vulnerable groups and create an ethical management plan, (iii) identify and understand the different target audiences and develop the advertising strategy, (iv) develop and design campaign content, (v) implement, monitor and iteratively refine the recruitment campaign, (vi) evaluate the campaign success. Potential activities and key considerations relevant for paediatric research are presented within each phase.

CONCLUSION

Due to the widespread use and diverse characteristics of social media users, social media has the potential to disseminate details of research opportunities to community members who may otherwise not hear about, engage with, and potentially benefit from research participation. Researchers should collaborate with communication experts and target audiences to generate relevant and effective recruitment campaigns. Researchers should implement processes to protect vulnerable audiences' wellbeing at each stage of the process. Recruitment via social media may support wider community participation in research studies designed to improve young people's health.

Eating Disorders in Youth with Chronic Health Conditions: Clinical Strategies for Early Recognition and Prevention

Youth with chronic health conditions face an elevated risk of eating disorders and disordered eating behaviors. Contributors to this phenomenon may include the unique threats faced by this vulnerable population to their body image, their relationships with food and eating, and their mental health and self-esteem. However, youth with chronic health conditions may also experience more severe medical complications and mortality from eating disorder behaviors because of the additional risks conveyed by their underlying conditions. In this review, clinical strategies are provided to support youth with chronic health conditions through early recognition of eating disorder behaviors and prompt referral to treatment, which is important for a better prognosis. Suggestions are also given to mitigate their risk of developing eating disorders by proactively addressing risk factors and offering thoughtful anticipatory guidance that promotes a positive relationship with food and eating.

Eating disorders in weight-related therapy (EDIT): Protocol for a systematic review with individual participant data meta-analysis of eating disorder risk in behavioural weight management

The Eating Disorders In weight-related Therapy (EDIT) Collaboration brings together data from randomised controlled trials of behavioural weight management interventions to identify individual participant risk factors and intervention strategies that contribute to eating disorder risk. We present a protocol for a systematic review and individual participant data (IPD) meta-analysis which aims to identify participants at risk of developing eating disorders, or related symptoms, during or after weight management interventions conducted in adolescents or adults with overweight or obesity. We systematically searched four databases up to March 2022 and clinical trials registries to May 2022 to identify randomised controlled trials of weight management interventions conducted in adolescents or adults with overweight or obesity that measured eating disorder risk at pre- and post-intervention or follow-up. Authors from eligible trials have been invited to share their deidentified IPD. Two IPD meta-analyses will be conducted. The first IPD meta-analysis aims to examine participant level factors associated with a change in eating disorder scores during and following a weight management intervention. To do this we will examine baseline variables that predict change in eating disorder risk within intervention arms. The second IPD meta-analysis aims to assess whether there are participant level factors that predict whether participation in an intervention is more or less likely than no intervention to lead to a change in eating disorder risk. To do this, we will examine if there are differences in predictors of eating disorder risk between intervention and no-treatment control arms. The primary outcome will be a standardised mean difference in global eating disorder score from baseline to immediately post-intervention and at 6- and 12- months follow-up. Identifying participant level risk factors predicting eating disorder risk will inform screening and monitoring protocols to allow early identification and intervention for those at risk.

Deconstructing Complex Interventions: Piloting a Framework of Delivery Features and Intervention Strategies for the Eating Disorders in Weight-Related Therapy (EDIT) Collaboration

(1) Background: weight-management interventions vary in their delivery features and intervention strategies. We aimed to establish a protocol to identify these intervention components. (2) Methods: a framework was developed through literature searches and stakeholder consultation. Six studies were independently coded by two reviewers. Consensus included recording conflict resolutions and framework changes. (3) Results: more conflicts occurred for intervention strategies compared to delivery features; both required the updating of definitions. The average coding times were 78 min (SD: 48) for delivery features and 54 min (SD: 29) for intervention strategies. (4) Conclusions: this study developed a detailed framework and highlights the complexities in objectively mapping weight-management trials.