Process Evaluation of the 'No Money No Time' Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study

Gender differences in diet quality and the association between diet quality and BMI: an analysis in young Australian adults who completed the Healthy Eating Quiz

BACKGROUND

Many young adults report poor diet quality. However, research evaluating whether young adult males and females differ in diet quality is limited. Additionally, although diet quality has a known inverse association with body mass index (BMI), it is unclear whether this association is observed in young adults and whether it varies by gender. The present study aimed to evaluate gender differences in diet quality in young adults, as well as the associations between diet quality and BMI.

METHODS

Data collected via the Healthy Eating Quiz (HEQ) in respondents aged 18-35 years between July 2019 and December 2021 were analysed, including demographics, and diet quality calculated using the Australian Recommended Food Score (ARFS). Differences in characteristics were analysed using a two-sample t-test, chi-squared and one-way analysis of covariance. Linear regressions were performed to estimate associations between diet quality and BMI. An interaction term was included in the model to test differences between genders.

RESULTS

The respondents (n = 28,969) were predominantly female (70.8%) with a mean ± SD age of 25.9 ± 5.0 years and BMI of 24.6 ± 5.2 kg/m2. The mean ± SD ARFS was significantly different between females and males (33.1 ± 8.6 vs. 31.4 ± 9.3 points out of 70; p < 0.001). Diet quality had a small, significant inverse association with BMI in both genders. The interaction effect between diet quality score and gender in predicting BMI was significant (p < 0.001), suggesting the impact of diet quality on BMI varies by gender, with lower diet quality more strongly associated with higher BMI in females compared to males.

CONCLUSION

Interventions that target young adults are needed to improve diet quality and its potential contribution to BMI status. As a result of the small observed effect sizes, caution should be applied in interpreting these findings.

An online qualitative study exploring wants and needs for a cooking programme during pregnancy in the UK and Ireland

BACKGROUND

Optimal maternal nutrition is associated with better pregnancy and infant outcomes. Culinary nutrition programmes have potential to improve diet quality during pregnancy. Therefore, this research aimed to understand the experiences of cooking and the wants and needs of pregnant women regarding a cooking and food skills programme in the United Kingdom (UK) and Republic of Ireland (ROI).

METHODS

Online focus group discussions with pregnant women and those who had experienced a pregnancy in the UK or ROI were conducted between February and April 2022. Two researchers conducted a thematic analysis. Seven focus groups with ROI participants (n = 24) and six with UK participants (n = 28) were completed.

RESULTS

Five themes were generated. These were (1) cooking during pregnancy: barriers, motivators and solutions; (2) food safety, stress and guilt; (3) need for cooking and food skills programmes and desired content; (4) programme structure; (5) barriers and facilitators to programme participation. Overall, there was support for a programme focusing on broad food skills, including planning, food storage, using leftovers and to manage pregnancy-specific physiological symptoms such as food aversions. Participants emphasised the importance of inclusivity for a diverse range of people and lifestyles for programme design and content.

CONCLUSIONS

Current findings support the use of digital technologies for culinary nutrition interventions, potentially combined with in-person sessions using a hybrid structure to enable the development of a support network.

Social marketing targeting healthy eating and physical activity in young adult university students: A scoping review

Adult obesity has remained a key health concern globally. Theory-based social marketing interventions are considered effective for improving dietary and physical activity (PA) behaviours. However, their application in universities is not yet established. This review aimed to identify social marketing strategies targeting healthy eating and/or PA behaviours of young adult university students and outline the intervention effectiveness. Literature search, screening, and data extraction followed the Joanna Briggs Institute (JBI) methodology for scoping reviews. PubMed/Medline and Scopus databases were searched for intervention and exploratory studies published between January 1, 2000, and September 20, 2023. Twelve articles were selected based on the eligibility criteria. Although different in study design, all studies reported improved healthy eating-related outcomes, while three showed improved PA-related outcomes. One study incorporated all six of the social marketing benchmarks, but the majority identified two. Most studies focused on behavioural objective, formative research, and marketing mix in their intervention design. Four studies incorporated behaviour change theories in development of the social marketing campaigns. Social marketing using social media could be a significant approach for improving healthy eating and PA in young adult university students when behavioural change theories and all social marketing benchmarks are adopted. More generalizable longer-term investigation into the effectiveness of this approach in university young adults is needed to tackle adult obesity related health issues.

Exploring the design and utility of an integrated web-based chatbot for young adults to support healthy eating: a qualitative study

BACKGROUND

There is a lack of understanding of the potential utility of a chatbot integrated into a website to support healthy eating among young adults. Therefore, the aim was to interview key informants regarding potential utility and design of a chatbot to: (1) increase young adults' return rates and engagement with a purpose-built healthy eating website and, (2) improve young adults' diet quality.

METHODS

Eighteen qualitative, semi-structured interviews were conducted across three stakeholder groups: (i) experts in dietary behaviour change in young adults (n = 6), (ii) young adult users of a healthy eating website (n = 7), and (iii) experts in chatbot design (n = 5). Interview questions were guided by a behaviour change framework and a template analysis was conducted using NVivo.

RESULTS

Interviewees identified three potential roles of a chatbot for supporting healthy eating in young adults; R1: improving healthy eating knowledge and facilitating discovery, R2: reducing time barriers related to healthy eating, R3: providing support and social engagement. To support R1, the following features were suggested: F1: chatbot generated recommendations and F2: triage to website information or externally (e.g., another website) to address current user needs. For R2, suggested features included F3: nudge or behavioural prompts at critical moments and F4: assist users to navigate healthy eating websites. Finally, to support R3 interviewees recommended the following features: F5: enhance interactivity, F6: offer useful anonymous support, F7: facilitate user connection with content in meaningful ways and F8: outreach adjuncts to website (e.g., emails). Additional 'general' chatbot features included authenticity, personalisation and effective and strategic development, while the preferred chatbot style and language included tailoring (e.g., age and gender), with a positive and professional tone. Finally, the preferred chatbot message subjects included training (e.g., would you like to see a video to make this recipe?), enablement (e.g., healthy eating doesn't need to be expensive, we've created a budget meal plan, want to see?) and education or informative approaches (e.g., "Did you know bananas are high in potassium which can aid in reducing blood pressure?").

CONCLUSION

Findings can guide chatbot designers and nutrition behaviour change researchers on potential chatbot roles, features, style and language and messaging in order to support healthy eating knowledge and behaviours in young adults.

How Can We Support Healthy Eating in Young Adults with Low Diet Quality? A Survey of Users of the 'No Money No Time' Healthy Eating Website

Nutrition interventions to support young adults are needed due to low diet quality. The aims were to explore the (1) circumstances and (2) barriers regarding dietary habits of the young adult users of the No Money No Time (NMNT) healthy eating website with the lowest diet quality scores. An online cross-sectional survey was conducted from August-September 2022 with a sample of NMNT users aged 18-35 years with low diet quality (defined as Healthy Eating Quiz score 0-38/73). The survey included demographics (e.g., gender), circumstances (6-item US Food Security Survey, Cooking and Food Skills Confidence Measures), and challenges and resources used in relation to healthy eating (open-responses). Theoretical thematic analysis was used to analyse open-response questions and derive main themes. The study sample (n = 108; 71.3% female, median age 28; 28.7% food insecure) had a mean (standard deviation) Cooking Skills score 70.2 (17.5)/98, and median (interquartile range) Food Skills score 96.0 (83.5-107.5)/133. The main challenges regarding healthy eating were (1) time and (2) cost, and the main resources to support healthy eating were (1) online resources (e.g., websites, Google) and (2) recipes. Findings identify possible targets for future interventions to support healthy eating in this vulnerable group (e.g., supporting cooking and food skills).

Online reach and engagement of a child nutrition peer-education program (PICNIC): insights from social media and web analytics

BACKGROUND

Parents frequently seek parental advice online and on social media; thus, these channels should be better utilized in child health interventions. The Parents in Child Nutrition Informing Community (PICNIC) program aims to facilitate peer-to-peer sharing of evidence-based child feeding information and support parents within their social networks. The present study aimed to explore web and social media analytics to evaluate reach and user engagement with the PICNIC online components.

METHODS

Online user activity data from the PICNIC Facebook closed group and public Page were collected through Facebook Insights, and program-specific website traffic data through Google Analytics. Analytics data from Nov-2019 to April-2021 was evaluated through visualisation and summary statistics to obtain insights into program growth and current reach in Australia, compare demographics of audience reached through the online channels, and explore parents' use and engagement in PICNIC content.

RESULTS

Results showed steady program growth in the 18 months of recruitment; participant numbers grew from 102 to 261 peer educators while the Facebook Page audience increased threefold, totalling 1615 followers. Intervention posts shared on Facebook (4-5 posts/week) typically reached only a portion of PICNIC Page followers each week, but also reached a wider audience through their friends. Throughout the evaluated period, Facebook users actively engaged in PICNIC posts, although the level of engagement varied considerably from post to post. Furthermore, results from this study suggest the strategy of directing potentially interested parents from social media to the website for program sign-up was successful. Finally, the explored data gave insights into users' availability, demographics and engagement, which will be used to inform refinement of the PICNIC website and social media strategies.

CONCLUSIONS

Our findings confirm the benefits of using a peer education approach and existing social network channels to disseminate evidence-based child feeding information to parents. This study also demonstrates the usefulness of web and social media analytics to be used as part of a continuous evaluation for gaining insight to inform further development and improvement of program strategies.

TRIAL REGISTRATION

The PICNIC project was retrospectively submitted for registration with the Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12622000230752 (09/02/2022).