Sugar Habit Hacker: Initial evidence that a planning intervention reduces sugar intake

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.

A cluster randomized controlled trial of a brief positive healthy eating intervention

Excessive sugar intake poses a significant risk factor for non-communicable diseases. A positive healthy eating (PHE) intervention was developed to promote low-sugar dietary practices in families. The PHE intervention capitalized on positive psychological constructs to overcome barriers to health behavior change by helping families associate feelings of joy, gratitude, and savoring with healthy eating. In a cluster randomized controlled trial, 1983 participants from 1467 families were recruited in Hong Kong. PHE included a core and booster session. Data were collected at pre-intervention, post-intervention, and at 1-month and 3-month follow-up. Compared to the control, PHE showed greater increase in intention to change at post-intervention, engagement in low-sugar dietary practices individually and with family members at 3-month follow-up, and greater reduction in sugar-sweetened beverage intake at 1-month and 3-month follow-up. Intentions to change mediated PHE's effects on low-sugar dietary practices. Focus group interviews revealed the behavior-change process and family quality of life.

Components in downstream health promotions to reduce sugar intake among adults: a systematic review

Excessive sugar consumption is well documented as a common risk factor for many Non-Communicable Diseases (NCDs). Thus, an adequate intervention description is important to minimise research waste and improve research usability and reproducibility. A systematic review was conducted to identify components in published evidence interventions pertaining to the health promotions on reducing sugar intake among adults. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and used the Mixed Methods Appraisal Tool (MMAT) for quality appraisal. The period for the selected study was from 2000 to 2022, and articles were retrieved from Web of Science (WOS), Medline, Scopus, and PubMed. The target population was adults aged 18 years old and above who underwent intervention to assess the changes in their sugar intake. Data sources and all human epidemiologic studies were included. Out of the 9,333 papers identified, 25 were included. The overall quality of evidence of the studies was considered moderate. Apart from the characteristics of the reviewed studies, components of interventions are including the basis of theoretical or model for the intervention, which majority use Social Cognitive Theory, followed by PRECEDE-PROCEED model, socio-ecological and process-improvement theories and Transtheoretical Model; providers, who are commercial provider, qualified nutritionist, professor of nutrigenomics and nutrigenetics, doctor, dietitian nutritionist, lifestyle coaches, and junior public health nurses; duration of the intervention and follow-up time, varies from as short as one month to as long as 24 months; material provided either softcopy or hardcopy; tailoring approach, based on the individual goals, the process of change, genotype analysis, beliefs, barriers, and sociocultural norms; delivery mechanism either face-to-face or technology-mediated; and tools to measure the sugar consumption outcome mostly used Food Frequency Questionnaire (FFQ), besides 24-h dietary recalls, and food diaries. There are various components in downstream health promotion to reduce sugar intake among adults that can be adapted according to the local health promotion and intervention context. More well-designed interventions using integration components are encouraged in further studies.

Consequences of positive vs. negative information concerning the amount of sugar consumption on appetite, mood, and visual food cue attention: Findings from two online interventions

BACKGROUND

Eating too much sugar is associated with many negative health effects. Two brief online interventions were carried out to investigate whether information about the negative consequences of eating high-sugar food vs. positive consequences of eating low-sugar food can change reported appetite, mood, and visual food cue attention.

METHOD

For Study I, participants (n = 201) were allocated to one of three groups: Two groups were asked to list either the negative consequences of high-sugar consumption (negative focus) or the positive consequences of low-sugar consumption (positive focus). The third group carried out a control task (writing a shopping list). For Study II, 200 participants took part in a quiz with questions focusing on either positive, negative, or neutral consequences of high vs. low sugar consumption. Participants evaluated their appetite and mood before and after all interventions (list, quiz) and additionally completed a visual probe task with images depicting high vs. low-sugar food.

RESULTS

In Study I, the positive focus increased appetite for low-sugar food. The negative focus reduced participants' positive mood but did not change reported appetite. In Study II, all quiz conditions decreased appetite for high-sugar foods but did not affect mood. None of the interventions influenced visual attention to the food images.

CONCLUSION

Focusing on negative consequences of a high-sugar diet is less pleasant and is less effective in changing people's appetite than considering the positive aspects of a low-sugar diet. Thus, future interventions should instead spotlight the positive outcomes of a healthy diet.

Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions

Just-In-Time Adaptive Interventions (JITAIs) are emerging "push" mHealth interventions that provide the right type, timing, and amount of support to address the dynamically-changing needs for each individual. Although JITAIs are well-suited to the delivery of interventions for the addictions, few are available to support gambling behaviour change. We therefore developed GamblingLess: In-The-Moment and Gambling Habit Hacker, two smartphone-delivered JITAIs that differ with respect to their target populations, theoretical underpinnings, and decision rules. We aim to describe the decisions, methods, and tools we used to design these two treatments, with a view to providing guidance to addiction researchers who wish to develop JITAIs in the future. Specifically, we describe how we applied a comprehensive, organising scientific framework to define the problem, define just-in-time in the context of the identified problem, and formulate the adaptation strategies. While JITAIs appear to be a promising design in addiction intervention science, we describe several key challenges that arose during development, particularly in relation to applying micro-randomised trials to their evaluation, and offer recommendations for future research. Issues including evaluation considerations, integrating on-demand intervention content, intervention optimisation, combining active and passive assessments, incorporating human facilitation, adding cost-effectiveness evaluations, and redevelopment as transdiagnostic interventions are discussed.

Sugar-sweetened beverage consumption retarded weight gain but not induced depression and anxiety-like behaviors in mice

AIMS

To assess the effects of sugar-sweetened beverage (SSB) consumption and exercise on behaviors.

METHODS

Twenty-four male mice were divided into four groups: the water + sedentary (WS), the SSB + sedentary (CS), the water + exercise (WE), and the SSB + exercise (CE). After three-month of interventions, forced swim test (FST), open field test (OFT), and morris water maze (MWM) were conducted. Then, mRNA levels of MAO-A, COMT, and 5-HT1A and protein levels of synapsin, STAT3, A2AR, CRTC1, CREB, and BDNF were measured.

RESULTS

Under a similar baseline body weight condition, SSB consumption reduced the weight gain from the 3rd week (p < 0.05, or p < 0.01). Exercise decreased the escape latency in the CE group when compared to the CS group on day5 (p < 0.01) and increased the time in the target quadrant in the WE group than the WS group on day4 (p < 0.05) and 5 (p < 0.01) during MWM. No significant differences were found during the FST and OFT. COMT mRNA level was increased after SSB consumption (p < 0.05), but no differences were found in the MAO-A and 5-HT1A mRNA levels and the concerned biomarkers, all of which were previously reported to be associated with depression and anxiety-like behaviors.

CONCLUSION

SSB consumption reduced weight gain but not result in depression and anxiety-like behaviors in mice. Therefore, the behavioral effects of exercise were not significant. This is not consistent with the results of previous epidemiological surveys of humans.

Gambling Habit Hacker: Protocol for a micro-randomised trial of planning interventions delivered via a Just-In-Time Adaptive Intervention for adult gamblers (Preprint)

Background

People with gambling problems frequently report repeated unsuccessful attempts to change their behavior. Although many behavior change techniques are available to individuals to reduce gambling harm, they can be challenging to implement or maintain. The provision of implementation support tailored for immediate, real-time, individualized circumstances may improve attempts at behavior change.

Objective

We aimed to develop and evaluate a Just-In-Time Adaptive Intervention (JITAI) for individuals who require support to adhere to their gambling limits. JITAI development is based on the principles of the Health Action Process Approach with delivery, in alignment with the principles of self-determination theory. The primary objective was to determine the effect of action- and coping planning compared with no intervention on the goal of subsequently adhering to gambling expenditure limits.

Methods

Gambling Habit Hacker is delivered as a JITAI providing in-the-moment support for adhering to gambling expenditure limits (primary proximal outcome). Delivered via a smartphone app, this JITAI delivers tailored behavior change techniques related to goal setting, action planning, coping planning, and self-monitoring. The Gambling Habit Hacker app will be evaluated using a 28-day microrandomized trial. Up to 200 individuals seeking support for their own gambling from Australia and New Zealand will set a gambling expenditure limit (ie, goal). They will then be asked to complete 3 time-based ecological momentary assessments (EMAs) per day over a 28-day period. EMAs will assess real-time adherence to gambling limits, strength of intention to adhere to goals, goal self-efficacy, urge self-efficacy, and being in high-risk situations. On the basis of the responses to each EMA, participants will be randomized to the control (a set of 25 self-enactable strategies containing names only and no implementation information) or intervention (self-enactable strategy implementation information with facilitated action- and coping planning) conditions. This microrandomized trial will be supplemented with a 6-month within-group follow-up that explores the long-term impact of the app on gambling expenditure (primary distal outcome) and a range of secondary outcomes, as well as an evaluation of the acceptability of the JITAI via postintervention surveys, app use and engagement indices, and semistructured interviews. This trial has been approved by the Deakin University Human Research Ethics Committee (2020-304).

Results

The intervention has been subject to expert user testing, with high acceptability scores. The results will inform a more nuanced version of the Gambling Habit Hacker app for wider use.

Conclusions

Gambling Habit Hacker is part of a suite of interventions for addictive behaviors that deliver implementation support grounded in lived experience. This study may inform the usefulness of delivering implementation intentions in real time and in real-world settings. It potentially offers people with gambling problems new support to set their gambling intentions and adhere to their limits.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12622000497707; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383568

International Registered Report Identifier (IRRID)

DERR1-10.2196/38919