Reduction in Vegetable Intake Disparities With a Web-Based Nutrition Education Intervention Among Lower-Income Adults in Japan: Randomized Controlled Trial

The Effectiveness of an Online Nutrition Education Program on Varsity Athletes' Nutritional & Dietary Supplement Knowledge

Background/Objectives: Research has shown that athletes often have poor nutritional knowledge, particularly regarding dietary supplements. The purpose of this study was to investigate the effectiveness of an online nutrition education program in improving nutritional and dietary supplement knowledge among varsity athletes at the University of Guelph in Ontario, Canada. Methods: A total of 30 varsity athletes at the University of Guelph were randomized into experimental [n = 18] and control [n = 12] groups. A randomized wait-list controlled intervention was used, where participants in the experimental group were granted access to an online, 4-week nutrition education program, while no program was provided to the control group within the duration of the study. The program covered nutrition topics and focused on sports nutrition and dietary supplementation. Both groups were administered a validated online nutrition and dietary supplement questionnaire at baseline and post-intervention. Results: Mean baseline knowledge scores for the experimental and control groups were 13.78 ± 2.76 and 13.92 ± 2.39, respectively, and were not significantly different [p = 0.888]. Post-intervention scores were 16.28 ± 1.49 and 14.5 ± 1.88 for the experimental and control groups, respectively, [p < 0.05]. There was a significant interaction between the intervention and time on knowledge. Conclusions: These results indicate that this nutrition education program was successful in significantly improving nutritional and dietary supplement knowledge in varsity athletes.

Evaluating the effectiveness of LINE-based health interventions on dietary habits and health perceptions among young women: A pilot randomized controlled trial

Objective

This study aimed to investigate the potential of LINE, a major messaging app and social media platform in Japan, as an effective tool to enhance the health and dietary behaviors of young Japanese women who face health and dietary challenges.

Methods

A 6-week randomized controlled trial employing an intention-to-treat analysis was conducted on first-year female students (age range, 18-23 years) from one university and two junior colleges in Mie Prefecture. The participants were allocated to either an intervention group (n = 54) or a control (n = 55) group. The intervention group received health information focusing on proper intake and intake methods to maintain an appropriate weight and dietary balance via LINE 18 times over 6 weeks (3 times per week), whereas the control group continued their usual lifestyle without any additional intervention.

Results

The results revealed a significant increase in the percentage of participants in the intervention group who rated their health as "unhealthy" (from 25.9% to 40.3%). This may be attributed to increased health awareness among the participants, which led to more critical self-assessments-a phenomenon often referred to as the "health awareness paradox." Despite this increase in perceived unhealthiness, the intervention group showed a significant increase in the intakes of iron, vitamin C, dietary fiber, and potassium, indicating improved nutritional behavior.

Conclusion

The provision of health information through LINE over a 6-week period demonstrated potential as a tool for health education among young Japanese women. However, the observed increase in "unhealthy" self-rated health underscores the complexity of such interventions, suggesting that while nutritional behavior may improve, increased health awareness can paradoxically lead to more negative self-assessments. Further research is needed to explore the optimal duration and content of health information delivered via social media apps to maximize their effectiveness for health interventions.

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.

Trends in the Number of Behavioural Theory-Based Healthy Eating Interventions Inclusive of Dietitians/Nutritionists in 2000-2020

Nutrition interventions developed using behaviour theory may be more effective than those without theoretical underpinnings. This study aimed to document the number of theory-based healthy eating interventions, the involvement of dietitians/nutritionists and the behaviour theories employed from 2000 to 2020. We conducted a review of publications related to healthy eating interventions that used behaviour change theories. Interventional studies published in English between 2000 and 2020 were retrieved from searching Medline, Cinahl, Embase, Psycinfo and Cochrane Central. Citation, country of origin, presence or absence of dietitian/nutritionist authors, participants, dietary behaviours, outcomes, theories and any behaviour change techniques (BCTs) stated were extracted. The publication trends on a yearly basis were recorded. A total of 266 articles were included. The number of theory-based interventions increased over the two decades. The number of studies conducted by dietitians/nutritionists increased, but since 2012, increases have been driven by other researchers. Social cognitive theory was the most used behaviour theory. Dietitians/nutritionists contributed to growth in publication of theory-based healthy eating interventions, but the proportion of researchers from other professions engaged in this field increased markedly. The reasons for this growth in publications from other professions is unknown but conjectured to result from greater prominence of dietary behaviours within the context of an obesity epidemic.

Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study

Background

Large-scale initiatives to improve diet quality through increased vegetable consumption have had small to moderate success. Digital technologies have features that are appealing for health-related behavior change interventions.

Objective

This study aimed to describe the implementation and evaluation of a mobile phone app called VegEze, which aims to increase vegetable intake among Australian adults.

Methods

To capture the impact of this app in a real-world setting, the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was utilized. An uncontrolled, quantitative cohort study was conducted, with evaluations after 21 and 90 days. The app was available in the Apple App Store and was accompanied by television, radio, and social media promotion. Evaluation surveys were embedded into the app using ResearchKit. The primary outcomes were vegetable intake (servings per day) and vegetable variety (types per day). Psychological variables (attitudes, intentions, self-efficacy, and action planning) and app usage were also assessed. Descriptive statistics and multiple linear regression were used to describe the impact of the app on vegetable intake and to determine the characteristics associated with the increased intake.

Results

Data were available from 5062 participants who completed the baseline survey; 1224 participants completed the 21-day survey, and 273 completed the 90-day survey. The participants resided across Australia and were mostly women (4265/5062, 84.3%) with a mean age of 48.2 years (SD 14.1). The mean increase in intake was 0.48 servings, from 3.06 servings at baseline to 3.54 servings at the end of the 21-day challenge (t₁₂₂₃=8.71; P<.001). The variety of vegetables consumed also increased by 0.35 types per day (t₁₁₂₃=9.59; P<.001). No changes in intake and variety were found from day 21 to the 90-day follow-up. Participants with the highest app usage increased their vegetable intake by 0.63 (SD 2.02) servings per day compared with 0.32 (SD 1.69) servings per day for those with the lowest app usage. On the basis of multiple linear regression, gender; age; BMI; psychological variables of self-efficacy, attitudes, intentions, and action planning specific to vegetable intake; baseline vegetable intake; and active days of app usage accounted for 23.3% of the variance associated with the change in intake (F_9,1208=42.09; P<.001). Baseline vegetable intake was the strongest predictor of change in intake (beta=−.495; P<.001), with lower baseline intake associated with a greater change in intake. Self-efficacy (beta=.116; P<.001), action planning (beta=.066; P=.02), BMI (beta=.070; P=.01), and app usage (beta=.081; P=.002) were all significant predictors of the change in intake.

Conclusions

The VegEze app was able to increase intake by half a serving in a large sample of Australian adults. Testing the app in a real-world setting and embedding the consent process allowed for greater reach and an efficient, robust evaluation. Further work to improve engagement is warranted.

Factors that contribute to effective online nutrition education interventions: a systematic review

CONTEXT

The use of the internet and technology as a medium for delivering online nutrition education (ONE) has increased; however, evidence-based studies exploring factors that contribute to best practices in online interventions have not emerged.

OBJECTIVE

The purpose of this systematic review was to identify factors that contributed to successful ONE interventions in relation to research studies published between 2009 and 2018.

DATA SOURCES

Following the PRISMA guidelines, relevant studies were identified through PubMed, Medline, Web of Science, Science Direct, and Education Resources Information Center (ERIC) databases.

DATA EXTRACTION

Five authors screened and determined the quality of the studies using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system and extracted the data from the articles.

DATA ANALYSIS

Twenty-seven studies were included: 21 studies were website-based, 3 were delivered through smartphone application, 2 were delivered as online courses, and 1 used text messages. Tailored messages/feedback, interaction between participants and investigators, identification of specific behaviors, use theory, adequate duration, and alignment between stated objectives and activities were factors that contributed to successful online interventions, while comparison bias and the lack of specific details on duration and dosage, tracking system, objective outcome measurements, and follow-up were factors that may have interfered with successful ONE interventions.

CONCLUSIONS

The findings underscore the importance of developing ONE intervention designs that utilize factors unique to online platforms for effective interventions aimed at behavior change.