The feasibility of a personality targeted intervention for addictive overeating: FoodFix

Dietary and quality-of-life outcomes of the FoodFix intervention for addictive eating: a short report

BACKGROUND

Interest in addictive eating continues to grow from both a research and clinical perspective. To date, dietary assessment alongside food addiction status is limited, with management options for addictive eating behaviours variable, given the overlap with myriad conditions. The aim of this study was to report the dietary intake and quality-of-life outcomes from a personality-targeted motivational interviewing intervention delivered by dietitians using telehealth.

METHODS

The study was conducted in adults exceeding their healthy-weight range with symptoms of addictive eating, as defined by the Yale Food Addiction Scale. The 52 participants were randomised to either intervention or control, with 49 participants commencing the intervention. Individuals participated in the 3-month, three-session FoodFix interventions, with dietary outcomes assessed by the Australian Eating Survey and quality of life assessed using the SF-36 at baseline and 3 months.

RESULTS

There were small-to-moderate effect sizes, specifically in the intervention group for decreased added sugar intake, increased protein intake, increased meat quality and increased vegetable servings per day. Six out of eight quality-of-life domains had small-to-moderate effect sizes.

CONCLUSIONS

This intervention has highlighted the need for further research in larger sample sizes to assess dietary behaviour change by those who self-report addictive eating.

The effectiveness of the TRACE online nutrition intervention in improving dietary intake, sleep quality and physical activity levels for Australian adults with food addiction: a randomised controlled trial

BACKGROUND

Few interventions for food addiction (FA) report on dietary intake variables. The present study comprised a three-arm randomised controlled trial in adults with symptoms of FA. The aim was to evaluate dietary intake, sleep and physical activity resulting from a dietitian-led telehealth intervention at 3 months.

METHODS

Adults with ≥3 symptoms of FA and a body mass index > 18.5 kg/m2 were recruited. Dietary intake including energy, nutrients and diet quality were assessed by a validated food frequency questionnaire in addition to sleep quality and physical activity (total min) and compared between groups and over time. Personalised dietary goals set by participants were examined to determine whether improvements in percent energy from core and non-core foods were reported.

RESULTS

The active intervention group was superior compared to the passive intervention and control groups for improvements in percent energy from core (6.4%/day [95% confidence interval (CI) -0.0 to 12.9], p = 0.049), non-core foods (-6.4%/day [95% CI -12.9 to 0.0], p = 0.049), sweetened drinks (-1.7%/day [95% CI -2.9 to -0.4], p = 0.013), takeaway foods (-2.3%/day [95% CI -4.5 to -0.1], p = 0.045) and sodium (-478 mg/day [95% CI -765 to -191 mg], p = 0.001).

CONCLUSIONS

A dietitian-led telehealth intervention for Australian adults with FA found significant improvements in dietary intake variables. Setting personalised goals around nutrition and eating behaviours was beneficial for lifestyle change.

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.

Food Addiction: a Deep Dive into ‘Loss of Control’ and ‘Craving’

Purpose of Review

The majority of existing research discusses food addiction (FA) classification, which provides information for different groups and which groups may or may not be affected to differing degrees. Fewer studies report FA symptom scores, and fewer still report on individual symptoms. This paper discusses the symptoms of craving and loss of control as they are common FA symptoms that demonstrate similarities with both substance use disorders and some eating disorder pathology.

Recent Findings

Loss of control presents parallels with disordered eating, particularly binge eating disorder. Craving refers to the powerful or strong desire for something and, in contrast to lack of control, presents most overlap with substance use disorders.

Summary

While not the most common symptoms reported in published research, loss of control and craving attract attention because of parallels with substance use and eating disorder pathology, and research has increasingly focused on these symptoms in recent years.

Designing an online intervention for adults with addictive eating: a qualitative integrated knowledge translation approach

INTRODUCTION

Codesign is a meaningful end-user engagement in research design. The integrated knowledge translation (IKT) framework involves adopting a collaborative research approach to produce and apply knowledge to address real-world needs, resulting in useful and useable recommendations that will more likely be applied in policy and practice. In the field of food addiction (FA), there are limited treatment options that have been reported to show improvements in FA symptoms.

OBJECTIVES

The primary aim of this paper is to describe the step-by-step codesign and refinement of a complex intervention delivered via telehealth for adults with FA using an IKT approach. The secondary aim is to describe our intervention in detail according to the TIDieR checklist.

DESIGN

This study applies the IKT process and describes the codesign and refinement of an intervention through a series of online meetings, workshops and interviews.

PARTICIPANTS

This study included researchers, clinicians, consumers and health professionals.

PRIMARY OUTCOME MEASURE

The primary outcome was a refined intervention for use in adults with symptoms of FA for a research trial.

RESULTS

A total of six female health professionals and five consumers (n=4 female) with lived overeating experience participated in two interviews lasting 60 min each. This process resulted in the identification of eight barriers and three facilitators to providing and receiving treatment for FA, eight components needed or missing from current treatments, telehealth as a feasible delivery platform, and refinement of key elements to ensure the intervention met the needs of both health professionals and possible patients.

CONCLUSION

Using an IKT approach allowed for a range of viewpoints and enabled multiple professions and disciplines to engage in a semiformalised way to bring expertise to formulate a possible intervention for FA. Mapping the intervention plan to the TIDieR checklist for complex interventions, allowed for detailed description of the intervention and the identification of a number of areas that needed to be refined before development of the finalised intervention protocol.

Effectiveness of Motivational Interviewing in Managing Overweight and Obesity : A Systematic Review and Meta-analysis

BACKGROUND

Motivational interviewing (MI) is potentially useful in management of overweight and obesity, but staff training and increased delivery time are barriers, and its effectiveness independent of other behavioral components is unclear.

PURPOSE

To assess the independent contribution of MI as part of a behavioral weight management program (BWMP) in controlling weight and improving psychological well-being.

DATA SOURCES

6 electronic databases and 2 trial registries, searched from database inception through 24 September 2021.

STUDY SELECTION

Randomized controlled trials in adults or adolescents aimed at weight loss or maintenance and comparing programs incorporating MI versus interventions without MI.

DATA EXTRACTION

Two reviewers independently screened studies, extracted data, and assessed risk of bias. Outcomes included weight, anxiety, depression, quality of life, and other aspects of psychological well-being. Pooled mean differences or standardized mean differences were obtained using random- and fixed-effects meta-analyses.

DATA SYNTHESIS

Forty-six studies involving 11 077 participants, predominantly with obesity, were included. At 6 months, BWMPs using MI were more effective than no/minimal intervention (-0.88 [95% CI, -1.27 to -0.48] kg; I ² = 0%) but were not statistically significantly more effective than lower-intensity (-0.88 [CI, -2.39 to 0.62] kg; I ² = 55.8%) or similar-intensity (-1.36 [CI, -2.80 to 0.07] kg; I ² = 18.8%) BWMPs. At 1 year, data were too sparse to pool comparisons with no/minimal intervention, but MI did not produce statistically significantly greater weight change compared with lower-intensity (-1.16 [CI, -2.49 to 0.17] kg; I ² = 88.7%) or similar-intensity (-0.18 [CI, -2.40 to 2.04] kg; I ² = 72.7%) BWMPs without MI. Studies with 18-month follow-up were also sparse; MI did not produce statistically significant benefit in any of the comparator categories. There was no evidence of subgroup differences based on study, participant, or intervention characteristics. Too few studies assessed effects on psychological well-being to pool, but data did not suggest that MI was independently effective.

LIMITATIONS

High statistical heterogeneity among studies, largely unexplained by sensitivity and subgroup analyses; stratification by comparator intensity and follow-up duration resulted in pooling of few studies.

CONCLUSION

There is no evidence that MI increases effectiveness of BWMPs in controlling weight. Given the intensive training required for its delivery, MI may not be a worthwhile addition to BWMPs.

PRIMARY FUNDING SOURCE

National Institute for Health Research Biomedical Research Centre. (PROSPERO: CRD42020177259).

Limitations of the protective measure theory in explaining the role of childhood sexual abuse in eating disorders, addictions, and obesity: an updated model with emphasis on biological embedding

In addition to its immediate negative consequences, childhood sexual abuse is associated with lifelong deleterious mental and physical health outcomes. This review employs a biopsychosocial perspective to better understand pathways from childhood sexual abuse to eating disorders, food and drug addictions, and obesity across the life course. Guided by an updated conceptual model, this review delineates how the biological embedding of childhood sexual abuse triggers a cascade of interrelated conditions that often result in failed attempts at weight suppression and eventually obesity. Such biological embedding involves pathways such as inflammation, allostatic load, reward sensitivity, activation of the hypothalamic-pituitary-adrenal axis, epigenetics, and structural and functional changes in the brain. These pathways are in turn theorized to lead to food addiction, substance use disorder, and eating disorders-each with potential pathways toward obesity over time. Predisposing factors to childhood sexual abuse including gender, culture, and age are discussed. This model calls into question the longstanding "protective measure" theory that purports individuals exposed to sexual abuse will deliberately or subconsciously gain weight in attempt to prevent future victimization. A more comprehensive understanding of the mechanisms by which childhood sexual abuse becomes biologically embedded may help clinicians and survivors normalize and/or address disordered eating and weight-related outcomes, as well as identify intervention strategies.Level of evidence: Level V: opinions of respected authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Characteristics of individuals seeking addictive eating treatment

PURPOSE

There is increasing interest in food addiction and its potential treatment. However, little is known about the characteristics of people seeking addictive eating treatment, which is important to develop appropriate treatment and referral pathways. The aim was to describe the characteristics of individuals seeking addictive eating treatment and examine differences between eligible participants who did and did not engage in treatment.

METHODS

Participants interested in an addictive eating treatment were recruited to an online screening survey. The 55-item survey included demographic questions, body satisfaction; weight-loss attempts; the modified Yale Food Addiction Survey (mYFAS); the Binge Eating Scale and mental health outcomes (DASS-21).

RESULTS

Individuals seeking addictive eating treatment (n = 309) were predominantly female (61%), from the obese BMI category (67%) and had accessed a range of services for weight loss (97%). Using multiple logistic regression, participants with higher mYFAS scores were more likely to engage in treatment (AOR 1.68; 95% CI 1.12-2.52), while participants with higher DASS total scores were less likely to engage in treatment (AOR 0.97; 95% CI 0.95-0.99).

CONCLUSION

This study indicates considerable interest from consumers in seeking addictive eating treatment. Individuals who did not engage in treatment displayed higher mental health comorbidity, suggesting that higher mental health symptomatology may be a barrier to treatment. Future qualitative research is needed to provide an in-depth understanding of the reasons for seeking and engaging in addictive eating treatment, as well as to identify the optimal treatments and referral pathways.

LEVEL OF EVIDENCE

Level IV.

A narrative review of reward sensitivity, rash impulsivity, and food addiction in adolescents

Adolescence represents a neurodevelopmental period characterised by heightened reward drive and weaker inhibitory control that may increase vulnerability to compulsive overconsumption of highly-palatable foods and food addiction. This narrative review aimed to summarise research investigating the presence of food addiction in adolescents and establish the role that impulsivity traits (i.e., reward sensitivity and rash impulsivity), previously linked to substance and behavioural addictions, play in contributing to food addiction in this cohort. It was found that the prevalence of food addiction was typically higher in studies that recruited adolescents who were overweight/obese or from clinical populations. Overall, impulsivity was found to be more consistently associated with food addiction, while the relationships between measures of reward sensitivity and food addiction were mixed. Findings of this review suggest trait impulsivity may contribute to food addiction in adolescents, however, further longitudinal and prospective research is recommended to confirm these findings and to investigate the potential interactive effects of reward sensitivity and rash impulsivity.

Process Evaluation of a Personality Targeted Intervention for Addictive Eating in Australian Adults

Addictive eating prevalence is estimated at 15-20% in studied populations, and is associated with concurrent mental health conditions and eating disorders as well as overweight and obesity. However, few evidence-based interventions targeting addictive eating are available. The further development of evidence-based interventions requires assessment of intervention feasibility and efficacy. This study aimed to determine the feasibility, including intervention delivery and program acceptability, of FoodFix; a personality targeted intervention for the treatment of addictive eating behaviours in Australian adults. Participants (n = 52) were randomised to intervention (n = 26) or wait-list control groups (n = 26) and received three personalised telehealth sessions with an Accredited Practising Dietitian over seven weeks. Intervention delivery was assessed by tracking adherence to scheduled timing of intervention sessions. Program acceptability of participants was assessed via an online process evaluation survey and program acceptability of intervention providers was assessed via semi-structured phone interviews. In total, 79% of participants adhered to scheduled timing for session two and 43% for session three, defined as within one week (before/after) of the scheduled date. Further, 21% of participants completed the process evaluation survey (n = 11). The majority of participants were extremely/very satisfied with FoodFix (n = 7, 63%). Intervention providers (n = 2) expressed that they felt adequately trained to deliver the intervention, and that the overall session format, timing, and content of FoodFix was appropriate for participants. These findings highlight the importance of assessing intervention feasibility to further understand intervention efficacy.