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.

Current Intervention Treatments for Food Addiction: A Systematic Review.

Research on the concept of food addiction (FA) has steadily grown and, based on a widely used self-report, FA is estimated to affect between 16-20% of the adult population. However, there are few interventions available for people with self-reported FA, and their efficacy is unclear. The primary aim of the review was to examine the efficacy of different interventions, including behavioural/lifestyle, medication and surgical approaches, for reducing symptoms and/or changing diagnosis of FA among adolescents and adults. A secondary aim was to examine the influence of sex as a moderator of intervention effects. A systematic search was performed from 2008-2020 to identify studies that used the YFAS to assess the effectiveness of interventions on FA. Nine studies were identified (n = 7 adults, n = 2 adolescents) including a total of 812 participants (range 22-256) with an average of 69% females per study. The types of interventions included medications (n = 3), lifestyle modification (n = 3), surgical (n = 2) and behavioural (n = 1), with FA being assessed as a secondary outcome in all studies. Five studies in adults reported a significant reduction in FA symptoms or diagnosis from pre to post-intervention, two when compared to a control group and three in the intervention group only. Efficacious interventions included: medication (combination of naltrexone and bupropion, as well as pexacerfont), bariatric surgery and lifestyle modification. No significant changes in FA were reported in adolescent studies. Given few studies were identified by the review, there is insufficient evidence to provide clear recommendations for practice; however, some interventions show potential for reducing self-reported FA outcomes in adults. Future research should explore the longer-term efficacy of interventions and the effectiveness of treatments with sufficient sample sizes.

Screening and identification of disordered eating in people with type 1 diabetes: A systematic review.

People with Type 1 diabetes (T1D) have been shown to be an at-risk group for the development of disordered eating behaviours, however, the validity of tools used to assess disordered eating behaviours in T1D is unclear. This review aimed to identify tools used to screen or identify disordered eating behaviours and eating disorders in people with T1D, and evaluate the validity and reliability of these tools. A systematic search strategy was conducted to October 2019 according to the PRISMA guidelines. The search strategy retrieved 2714 articles, with 100 articles describing 90 studies included in the review. Studies were predominantly conducted in adolescent females in clinical settings. Forty-eight individual tools were used across retrieved studies. Overall, the quality of tools reported in included articles was poor, with high risk of bias due to the use of non-validated tools (n = 44 articles) and few studies comparing to the reference standard (n = 10 articles) of a diagnostic interview. This review shows that a variety of tools have been used to screen and identify disordered eating behaviours and eating disorders in people with T1D. Future research including comparison to a gold standard diagnostic interview is warranted to further evaluate the validity and reliability of available tools.

Food Addiction Symptoms and Amygdala Response in Fasted and Fed States.

Few studies have investigated the underlying neural substrates of food addiction (FA) in humans using a recognised assessment tool. In addition, no studies have investigated subregions of the amygdala (basolateral (BLA) and central amygdala), which have been linked to reward-seeking behaviours, susceptibility to weight gain, and promoting appetitive behaviours, in the context of FA. This pilot study aimed to explore the association between FA symptoms and activation in the BLA and central amygdala via functional magnetic resonance imaging (fMRI), in response to visual food cues in fasted and fed states. Females (n = 12) aged 18-35 years completed two fMRI scans (fasted and fed) while viewing high-calorie food images and low-calorie food images. Food addiction symptoms were assessed using the Yale Food Addiction Scale. Associations between FA symptoms and activation of the BLA and central amygdala were tested using bilateral masks and small-volume correction procedures in multiple regression models, controlling for BMI. Participants were 24.1 ± 2.6 years, with mean BMI of 27.4 ± 5.0 kg/m2 and FA symptom score of 4.1 ± 2.2. A significant positive association was identified between FA symptoms and higher activation of the left BLA to high-calorie versus low-calorie foods in the fasted session, but not the fed session. There were no significant associations with the central amygdala in either session. This exploratory study provides pilot data to inform future studies investigating the neural mechanisms underlying FA.

Addictive Eating and Its Relation to Physical Activity and Sleep Behavior.

The obesity epidemic has led to the exploration of factors contributing to its etiology. Addictive eating, physical activity, and sleep behaviors have all been independently associated with obesity, and recent research suggests plausible interrelationships between food addiction, physical activity, and sleep. This study aims to investigate the relationship between food addiction with physical activity and sleep behavior. Australian adults were invited to complete an online survey which collected information including: demographics, food addiction symptoms, physical activity, sitting time and sleep behavior items. The sample comprised 1344 individuals with a mean age of 39.8 ± 13.1 years (range 18⁻91), of which 75.7% were female. Twenty-two percent of the sample met the criteria for a diagnosis of food addiction as per the Yale Food Addiction Scale (YFAS 2.0) criteria, consisting of 0.7% with a "mild" addiction, 2.6% "moderate", and 18.9% classified as having a "severe" food addiction. Food-addicted individuals had significantly less physical activity (1.8 less occasions walking/week, 32 min less walking/week, 58 min less moderate to vigorous physical activity (MVPA)/week; p < 0.05), reported sitting for longer on weekends (83 min more on weekends/week; p < 0.001), and reported significantly more symptoms of poorer-quality sleep (more likely to snore, more likely to have fallen asleep while driving, reported more days of daytime falling asleep; p < 0.05) compared to non-food-addicted individuals. These differences were also observed in those with a "severe" food addiction classification. The present study suggests frequency and duration of physical activity, time spent sitting and sleep duration are associated with food addiction.