Implementation and outcome evaluation of a team nutrition intervention: increasing knowledge, attitudes, and preferences

Three-Year School-Based Multicomponent Intervention May Change Fruit and Vegetable Preferences in Primary School Children-A Quasi-Randomized Trial

Preference could be the trigger for fruit and vegetable (FV) consumption in children and could be modified by appropriate intervention to increase the acceptance of FVs. The primary objective of this study was to investigate the effects of the three-year school-based multicomponent intervention "Nutri-školica" on the FV preferences of primary school children. It also aimed to explore whether a positive change in FV preferences could lead to an increase in actual FV consumption. The study was conducted in 14 primary schools from the city of Zagreb on 193 children (52.3% boys; age, 7.7 ± 0.4 years; n = 85 in the control group and n = 108 in the intervention group) who completed a preference questionnaire before and after the intervention with a 5-point hedonic smiley-face scale, where 5 means "I like it a lot." The per-protocol approach was used for data analysis (28.3% of children from the study sample). After the intervention, children in the intervention group (before: 3.1 ± 0.8; after: 3.5 ± 0.8) increased their FV preferences significantly more than children in the control group (before: 3.2 ± 0.8; after: 3.3 ± 0.7). Children's FV preferences changed most toward the varieties for which they had the least preferences at the beginning of the study. Participation in the intervention had a stronger effect on changing FV intake than change in FV preferences among primary school children. In summary, the present study highlighted that a targeted intervention can increase children's FV preferences, but that participation in the intervention is substantial for increasing FV intake.

Nutrition and behavior change: a review of recent literature

PURPOSE OF REVIEW

The current article will highlight recent trends and novel approaches to behavior change strategies in nutrition. Physicians, nurses, and other healthcare professionals play key roles in counseling patients on lifestyle change, which is critical for patients with chronic conditions. Nutrition science continues to advance, and new approaches to behavior change are needed for successful implementation at the individual and population level.

RECENT FINDINGS

The solutions to obstacles around healthful eating patterns are varied, population-dependent, and require a multipronged approach. One area of focus is the language around behavior change, ensuring it is clear and emphasizes its multifactorial nature. For young adults, the careful use of video games and social media may be essential. For older adults, altering food consistency and ensuring proper nutrient intake are crucial factors. Vulnerable populations remain susceptible to malnutrition and need special attention. Despite significant advances in managing and treating diseases, there are still gaps in nutrition counseling and behavior change efforts.

SUMMARY

Every age and stage of life needs a focus on healthful foods, and nutrition counseling at each stage has its unique nuances. Careful attention to the language of change and the phrasing used in counseling is vital for educating, connecting with, and empowering patients to change. Changing healthcare operations and provider behavior around nutrition counseling is a part of the solution to the worldwide problem of unhealthy eating patterns and practices.

Using predicted marginal effects to assess the impact of rurality and free and reduced lunch eligibility on a school-based nutrition intervention

PURPOSE

To estimate the impact of a school-based nutrition education intervention in rural schools and schools with high free and reduced lunch (FRL) eligibility rates.

METHODS

As part of the evaluation of the Healthy Schools Healthy Students intervention, 20 schools were randomized to control and intervention conditions. Pre (October 2017) and posttest (April 2018) data were analyzed using multi-level linear regression models to estimate the intervention effect for multiple outcomes controlling for school-level demographic characteristics. We report the predicted marginal effect overall and specifically for rural; high FRL; and rural, high-FRL schools.

RESULTS

We observed at least one significant intervention effect for food group knowledge, liking to eat fruit, beliefs about how healthy fruits are, non-taste test fruit preferences, liking to eat vegetables, beliefs about how healthy vegetables are, and taste test vegetable preferences. We observed differential intervention effects for all outcomes except taste test vegetable preferences based on rural and high-FRL status.

CONCLUSIONS

Interventions do not necessarily have the same impact on all participants. Sub-analyses can reveal these important differential effects, as they have important implications for policymakers, program implementers, and evaluators. Resources and interventions should be allocated where they will have the greatest impact.