A Boost of Health: Effectiveness of a Personalized Communication Intervention to Increase Daily Fruit and Vegetable Intake
18 de mayo de 2026 actualizado por: Marco D'Addario
A Boost of Health: Effectiveness of a Personalized Communication Intervention Aimed at Increasing Daily Fruit and Vegetable Portions - A Study Within the PNRR 10 ON Foods Partnership
This study aims to evaluate the efficacy of a healthy diet promotion intervention focused on increasing fruit and vegetable consumption.
The intervention is delivered via mobile application in a sample drawn from the healthy adult population.
Descripción general del estudio
Estado
Terminado
Condiciones
Intervención / Tratamiento
Descripción detallada
The present study aims to evaluate the effectiveness of a protocol designed to increase fruit and vegetable consumption, grounded in the Health Action Process Approach (HAPA).
The protocol was delivered via the MyPocketHealth app, developed by the research team, and incorporated different communication strategies. Participants were involved in setting a goal and choosing between a personalized or a standardized goal (5 daily portions), which could be reviewed at any time. Moreover, they received either interactive (HAPA-I: group 1) or non-interactive (HAPA-NI: group 2) daily notifications promoting the target behavior through HAPA constructs for 15 days, while also monitoring their daily fruit and vegetable consumption (self-monitoring). A third group engaged solely in self-monitoring without receiving any communication (no-communication group; No comm). Goal attainment was reinforced through badge awards (rewards).
Tipo de estudio
Intervencionista
Inscripción (Actual)
403
Fase
- No aplica
Contactos y Ubicaciones
Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.
Ubicaciones de estudio
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Milano
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Milan, Milano, Italia, 20126
- Adorni Roberta
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Criterios de participación
Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto
Acepta Voluntarios Saludables
Sí
Descripción
Inclusion Criteria:
- Individuals from the general population in good health
- Adequate level of education to understand study procedures and to use a smartphone
- Ownership and regular use of a smartphone
Exclusion Criteria:
- Medical conditions that contraindicate an increased consumption of fruit and vegetables
- Habitual consumption of five (or more) portions of fruit and vegetables per day at baseline
Plan de estudios
Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.
¿Cómo está diseñado el estudio?
Detalles de diseño
- Propósito principal: Prevención
- Asignación: Aleatorizado
- Modelo Intervencionista: Asignación paralela
- Enmascaramiento: Doble
Armas e Intervenciones
Grupo de participantes/brazo |
Intervención / Tratamiento |
|---|---|
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Experimental: Interactive condition (HAPA-I: group 1)
Participants received two daily notifications. Each notification included a question about a variable from the HAPA model, and participants responded on a 5-point Likert scale. Those who scored low (1-3) received a motivational message tailored to their response. In contrast, participants who scored high (4-5) received rewarding messages. These notifications gave participants feedback on their standings within the HAPA. Moreover, participants received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app. |
Participants received two daily notifications.
Each notification included a question about a variable from the HAPA model, and participants responded on a 5-point Likert scale.
Those who scored low (1-3) received a motivational message tailored to their response.
In contrast, participants who scored high (4-5) received rewarding messages.
These notifications gave participants feedback on their standings within the HAPA.
Participants received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app.
|
|
Experimental: Non-interactive condition (HAPA-NI: group 2)
Participants received two daily educational notifications about HAPA variables, but they did not interact with the app. The notifications for both the HAPA-I and HAPA-NI groups were identical in structure, word count, and graphic format. The only difference was the level of content customization: it was generic for the HAPA-NI group and tailored to participants' responses for the HAPA-I group. Moreover, participants received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app. |
Participants received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app.
Participants received two daily educational notifications about HAPA variables, but they did not interact with the app.
The notifications for both the HAPA-I and HAPA-NI groups were identical in structure, word count, and graphic format.
The only difference was the level of content customization: it was generic for the HAPA-NI group and tailored to participants' responses for the HAPA-I group.
|
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Experimental: Non-communication condition (No-comm: group 3)
Participants did not receive HAPA-based notifications during the trial period.
They received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app.
|
Participants received a daily reminder to log the portions of fruit and vegetables in a dedicated self-monitoring section of the app.
|
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Change in Daily Fruit and Vegetable Intake from Baseline
Periodo de tiempo: From Day 1 to Day 15 (end of intervention)
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Participants self-monitored daily fruit and vegetable intake throughout the study period.
Each evening, participants received a reminder and recorded the number of fruit and vegetable portions consumed that day via a dedicated app interface.
At the end of the 15-day intervention, the mean daily intake was calculated for each participant.
This value was then compared with baseline intake (assessed prior to the start of the intervention) to evaluate whether a statistically significant increase in daily fruit and vegetable consumption was observed.
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From Day 1 to Day 15 (end of intervention)
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Change in Perceived Well-Being (WHO-5 Index)
Periodo de tiempo: Baseline and Day 15 (end of intervention)
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Perceived well-being is assessed using the WHO-5 Well-Being Index, a validated self-report questionnaire that measures subjective psychological well-being.
The WHO-5 consists of five items rated on a 6-point Likert scale, with higher scores indicating greater well-being.
Scores are collected at baseline and at the end of the 15-day intervention.
The outcome is defined as the change in WHO-5 score from baseline to post-intervention.
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Baseline and Day 15 (end of intervention)
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Colaboradores e Investigadores
Aquí es donde encontrará personas y organizaciones involucradas en este estudio.
Patrocinador
Investigadores
- Investigador principal: Marco D'Addario, PhD, University of Milano Bicocca
- Investigador principal: Maria Elide Vanutelli, PhD, University of Milano Bicocca
Publicaciones y enlaces útiles
La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.
Publicaciones Generales
- Fjeldsoe B, Neuhaus M, Winkler E, Eakin E. Systematic review of maintenance of behavior change following physical activity and dietary interventions. Health Psychol. 2011 Jan;30(1):99-109. doi: 10.1037/a0021974.
- Aune D, Giovannucci E, Boffetta P, Fadnes LT, Keum N, Norat T, Greenwood DC, Riboli E, Vatten LJ, Tonstad S. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol. 2017 Jun 1;46(3):1029-1056. doi: 10.1093/ije/dyw319.
- Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review, 57(1), 1-29. https://doi.org/10.1111/j.1464-0597.2007.00325.x
- Mujcic R, J Oswald A. Evolution of Well-Being and Happiness After Increases in Consumption of Fruit and Vegetables. Am J Public Health. 2016 Aug;106(8):1504-10. doi: 10.2105/AJPH.2016.303260.
- Kamphuis CB, van Lenthe FJ, Giskes K, Brug J, Mackenbach JP. Perceived environmental determinants of physical activity and fruit and vegetable consumption among high and low socioeconomic groups in the Netherlands. Health Place. 2007 Jun;13(2):493-503. doi: 10.1016/j.healthplace.2006.05.008. Epub 2006 Jul 11.
- D'Addario M, Cappelletti ER, Sarini M, Greco A, Steca P. The TTCYB Study Protocol: A Tailored Print Message Intervention to Improve Cardiovascular Patients' Lifestyles. Int J Environ Res Public Health. 2020 Apr 23;17(8):2919. doi: 10.3390/ijerph17082919.
- Blanchflower, D. G., Oswald, A. J., & Stewart-Brown, S. (2013). Is psychological well-being linked to the consumption of fruit and vegetables? Social Indicators Research, 114(3), 785-801. https://doi.org/10.1007/s11205-012-0173-y
- Adorni R, Zanatta F, Cappelletti ER, Greco A, Steca P, D'Addario M. Effectiveness of a tailored communication intervention to improve physical activity in hypertensive patients: a twelve-month randomized controlled trial. BMC Cardiovasc Disord. 2024 Mar 5;24(1):143. doi: 10.1186/s12872-024-03786-2.
Fechas de registro del estudio
Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.
Fechas importantes del estudio
Inicio del estudio (Actual)
3 de diciembre de 2024
Finalización primaria (Actual)
16 de enero de 2026
Finalización del estudio (Actual)
16 de enero de 2026
Fechas de registro del estudio
Enviado por primera vez
5 de mayo de 2026
Primero enviado que cumplió con los criterios de control de calidad
5 de mayo de 2026
Publicado por primera vez (Actual)
12 de mayo de 2026
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
20 de mayo de 2026
Última actualización enviada que cumplió con los criterios de control de calidad
18 de mayo de 2026
Última verificación
1 de mayo de 2026
Más información
Términos relacionados con este estudio
Palabras clave
Términos MeSH relevantes adicionales
- Técnicas de investigación
- Terapéutica
- Técnicas de laboratorio clínico
- Técnicas y procedimientos de diagnóstico
- Diagnóstico
- Análisis de químicos de sangre
- Pruebas de química clínica
- Técnicas de diagnóstico, endocrino
- Monitoreo, fisiológico
- Autoestimidad
- Cuidados personales
- Auto-monitoreo de glucosa en sangre
Otros números de identificación del estudio
- RM-2024-882
- PE00000003;CUP D93C22000890001 (Otro número de subvención/financiamiento: Italian Ministry of University and Research funded by the European Union - NextGenerationEU)
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
NO
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
No
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
No
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