Determining the feasibility of a codesigned and personalised intervention (Veg4Me) to improve vegetable intake in young adults living in rural Australian communities: protocol for a randomised controlled trial.

INTRODUCTION: Diets low in vegetables are a main contributor to the health burden experienced by young adults in rural communities. Digital health interventions provide an accessible delivery model that can be personalised to meet the diverse preferences of young adults. A personalisable digital vegetable intake intervention (Veg4Me) was codesigned to meet the needs of young adults living in rural communities. This study will determine the feasibility of delivering a personalised Veg4Me programme and compare preliminary effects with a non-personalised Veg4Me (control). METHODS AND ANALYSIS: A 12-week assessor-blinded, two-arm, parallel randomised controlled trial will be undertaken from August 2023 until April 2024. A total of 150 eligible and consenting young adults (18-35 years; eat<5 serves of vegetables/day; have an internet connected mobile device/computer) living in Loddon Campaspe or Colac Otway Shire in Victoria, Australia, will be randomised to receive 12 weeks of personalised (intervention) or non-personalised (control) support to increase vegetable intake via a free web application (app; Veg4Me). The primary outcome is feasibility (recruitment, participation and retention rates). Secondary outcomes are user engagement, usability and experience, as well as vegetable intake, eating habits and digital health equity. Process evaluation will be conducted in a subsample of participants using semistructured interviews. Descriptive statistics will be presented for the personalised and non-personalised groups at baseline and 12 weeks. Generalised linear models will be used to evaluate group differences in outcomes. Interviews will be transcribed and analysed thematically. ETHICS AND DISSEMINATION: All procedures involving human subjects were approved by Deakin University's Human Ethics Advisory Group-Health (HEAG-H 06_2023) on 6 March 2023. Dissemination events will be held in the City of Greater Bendigo and the Colac Otway Shire. Summaries of the results will be disseminated to participants via email. Results will be disseminated to the scientific community through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: Australia New Zealand Clinical Trials Registry, ACTRN12623000179639p, prospectively registered on 21 February 2023, according to the World Health Organizational Trial Registration Data Set. Universal Trial Number U1111-1284-9027.

Co-design of a personalised digital intervention to improve vegetable intake in adults living in Australian rural communities.

BACKGROUND: Diets low in vegetables are a main contributor to the health burden experienced by Australians living in rural communities. Given the ubiquity of smartphones and access to the Internet, digital interventions may offer an accessible delivery model for a dietary intervention in rural communities. However, no digital interventions to address low vegetable intake have been co-designed with adults living in rural areas. This paper describes the co-design of a digital intervention to improve vegetable intake with rural community members and research partners. METHODS: Active participants in the co-design process were adults ≥ 18 years living in three rural Australian communities (total n = 57) and research partners (n = 4) representing three local rural governments and one peak non-government health organisation. An iterative co-design process was undertaken to understand the needs (pre-design phase) and ideas (generative phase) of the target population. Eight online workshops and a community survey were conducted between July and December 2021. The MoSCoW prioritisation method was used to help participants identify the 'Must-have, Should-have, Could-have, and Won't-have or will not have right now' features and functions of the digital intervention. Workshops were transcribed and inductively analysed using NVivo. Convergent and divergent themes were identified between the workshops and community survey to identify how to implement the digital intervention in the community. RESULTS: Consensus was reached on a concept for a digital intervention that addressed individual and food environment barriers to vegetable intake, specific to rural communities. Implementation recommendations centred on (i) food literacy approaches to improve skills via access to vegetable-rich recipes and healthy eating resources, (ii) access to personalisation options and behaviour change support, and (iii) improving the community food environment by providing information on and access to local food initiatives. CONCLUSIONS: Rural-dwelling adults expressed preferences for personalised intervention features that can enhance food literacy and engagement with community food environments. This research will inform the development of the prototyping (evaluation phase) and feasibility testing (post-design phase) of this intervention.

Understanding Meal Choices in Young Adults and Interactions with Demographics, Diet Quality, and Health Behaviors: A Discrete Choice Experiment.

BACKGROUND: Our understanding of meal choices is limited by methodologies that do not account for the complexity of food choice behaviors. Discrete choice experiments (DCEs) rank choices in a decision-making context. OBJECTIVES: This study aimed to rank the relative importance of influences on meal choices in young adults and examine interactions by subgroups. METHODS: Adults (18-30 y) living in Australia were recruited via social media to complete an Internet-based DCE and survey. Participants were presented with 12 choice sets about a typical weekday meal, consisting of 5 attributes (taste, preparation time, nutrition content, cost, and quality). Diet quality (Dietary Guideline Index) was calculated from brief dietary questions. Conditional logit models ranked meal attributes, including interactions by sex, education, area-level disadvantage, diet quality, and weight status. RESULTS: In total, 577 adults (46% female, mean ± SD age 23.8 ± 3.8 y) completed the DCE and survey. Nutrition content was the most important influence on meal choice (B: 1.48; 95% CI: 1.31, 1.64), followed by cost (B: -0.75; 95% CI: -0.87, -0.63), quality (B: 0.58; 95% CI: 0.49, 0.67), taste (B: 0.55; 95% CI: 0.45, 0.65), and preparation time (B: -0.42; 95% CI: -0.52, -0.31). Females, those with higher diet quality, and those with a BMI (in kg/m2) <25 had higher preferences for better nutrition content. Females had higher preferences for better taste and lower preferences for higher-cost meals. Participants with higher education had higher preferences for better nutrition content. Participants living in higher area-level disadvantage areas had higher preferences for longer preparation time. CONCLUSIONS: Nutrition content was the most important influence on young adults' meal choices. Preferences differed by sex, socioeconomic position, diet quality, and weight status. Findings show the suitability of DCEs for understanding food choice behaviors in young adults and support the need for meal-based interventions to be tailored according to demographic and health characteristics.

Challenges in conducting natural experiments in parks-lessons from the REVAMP study.

Experimental evidence on the role of the built environment for promoting physical activity is important for informing how to create cities that promote active living. Parks provide opportunities for physical activity; however, there is little robust evidence on the impact of park refurbishment. Government agencies often modify parks, providing opportunities for natural experiment studies of these interventions. Such an opportunity was provided by the modification of a large park in Victoria, Australia in 2013 when the Recording and EValuating Activity in a Modified Park (REVAMP) study was established. Based on insights from the REVAMP study, this paper discusses challenges involved in conducting natural experiments in park settings, focussing on issues that may help design more effective future evaluations of the impact of park refurbishment. Natural experiments offer unique opportunities to evaluate the impact of large-scale changes to the built environment. They provide valuable data that might not otherwise be possible to gather, because of the costs associated with modification of the environment. However, factors beyond the control of the study team contribute to the complexity of both organising and conducting natural experiments, with potential flow-on effects to the quality of data. Therefore many extraneous factors need to be considered when designing, costing and conducting natural experiments; studies should identify opportunities to include key partners from the inception of the project, be flexible yet robust, and allow sufficient funding to accommodate unexpected changes in the research protocol. TRIAL REGISTRATION: Current controlled trial ISRCTN50745547 , registration date 11.1.2014.