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Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial

BACKGROUND: Web-based interventions typically have small intervention effects on adults’ health behavior because they primarily target processes leading to an intention to change leaving individuals in an intention-behavior gap, they often occur without contact with health care providers, and a limi...

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Autores principales: Plaete, Jolien, Crombez, Geert, Van der Mispel, Celien, Verloigne, Maite, Van Stappen, Vicky, De Bourdeaudhuij, Ilse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791527/
https://www.ncbi.nlm.nih.gov/pubmed/26929095
http://dx.doi.org/10.2196/jmir.5252
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author Plaete, Jolien
Crombez, Geert
Van der Mispel, Celien
Verloigne, Maite
Van Stappen, Vicky
De Bourdeaudhuij, Ilse
author_facet Plaete, Jolien
Crombez, Geert
Van der Mispel, Celien
Verloigne, Maite
Van Stappen, Vicky
De Bourdeaudhuij, Ilse
author_sort Plaete, Jolien
collection PubMed
description BACKGROUND: Web-based interventions typically have small intervention effects on adults’ health behavior because they primarily target processes leading to an intention to change leaving individuals in an intention-behavior gap, they often occur without contact with health care providers, and a limited amount of feedback is provided only at the beginning of these interventions, but not further on in the behavior change process. Therefore, we developed a Web-based intervention (“MyPlan 1.0”) to promote healthy behavior in adults. The intervention was based on a self-regulation perspective that also targets postintentional processes and guides individuals during all phases of behavior change. OBJECTIVE: The study investigated the effectiveness of MyPlan1.0 on fruit and vegetable intake of Flemish adults visiting general practice (3 groups: control group, intervention group recruited by researchers, and intervention group recruited and guided by general practitioners [GPs]). Second, it examined whether there was a larger intervention effect for the intervention group guided by GPs compared to the intervention group recruited by researchers. METHODS: Adults (≥18 years) were recruited in 19 Flemish general practices. In each general practice, patients were systematically allocated by a researcher either for the intervention group (researchers’ intervention group) or the waiting-list control group that received general advice. In a third group, the GP recruited adults for the intervention (GPs intervention group). The two intervention groups filled in evaluation questionnaires and received MyPlan 1.0 for a behavior of choice (fruit, vegetable, or physical activity). The waiting-list control group filled in the evaluation questionnaires and received only general information. Self-reported fruit and vegetable intake were assessed at baseline (T0), 1 week (T1), and 1 month (T2) postbaseline. Three-level (general practice, adults, time) linear regression models were conducted in MLwiN. RESULTS: A total of 426 adults initially agreed to participate (control group: n=149; GPs’ intervention group: n=41; researchers’ intervention group: n=236). A high attrition rate was observed in both intervention groups (71.8%, 199/277) and in the control group (59.1%, 88/149). In comparison to no change in the control group, both the GPs’ intervention group (fruit: χ(2) (1)=10.9, P=.004; vegetable: χ(2) (1)=5.3, P=.02) and the researchers’ intervention group (fruit: χ(2) (1)=18.0, P=.001; vegetable: χ(2) (1)=12.8, P<.001) increased their intake of fruit and vegetables. CONCLUSIONS: A greater increase in fruit and vegetable intake was found when the Web-based intervention MyPlan 1.0 was used compared to usual care of health promotion in general practice (ie, flyers with general information). However, further investigation on which (or combinations of which) behavior change techniques are effective, how to increase response rates, and the influence of delivery mode in routine practice is required. TRIAL REGISTRATION: ClinicalTrials.gov NCT02211040; https://clinicaltrials.gov/ct2/show/NCT02211040 (Archived by WebCite® at http://www.webcitation.org/6f8yxTRii)
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spelling pubmed-47915272016-03-29 Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial Plaete, Jolien Crombez, Geert Van der Mispel, Celien Verloigne, Maite Van Stappen, Vicky De Bourdeaudhuij, Ilse J Med Internet Res Original Paper BACKGROUND: Web-based interventions typically have small intervention effects on adults’ health behavior because they primarily target processes leading to an intention to change leaving individuals in an intention-behavior gap, they often occur without contact with health care providers, and a limited amount of feedback is provided only at the beginning of these interventions, but not further on in the behavior change process. Therefore, we developed a Web-based intervention (“MyPlan 1.0”) to promote healthy behavior in adults. The intervention was based on a self-regulation perspective that also targets postintentional processes and guides individuals during all phases of behavior change. OBJECTIVE: The study investigated the effectiveness of MyPlan1.0 on fruit and vegetable intake of Flemish adults visiting general practice (3 groups: control group, intervention group recruited by researchers, and intervention group recruited and guided by general practitioners [GPs]). Second, it examined whether there was a larger intervention effect for the intervention group guided by GPs compared to the intervention group recruited by researchers. METHODS: Adults (≥18 years) were recruited in 19 Flemish general practices. In each general practice, patients were systematically allocated by a researcher either for the intervention group (researchers’ intervention group) or the waiting-list control group that received general advice. In a third group, the GP recruited adults for the intervention (GPs intervention group). The two intervention groups filled in evaluation questionnaires and received MyPlan 1.0 for a behavior of choice (fruit, vegetable, or physical activity). The waiting-list control group filled in the evaluation questionnaires and received only general information. Self-reported fruit and vegetable intake were assessed at baseline (T0), 1 week (T1), and 1 month (T2) postbaseline. Three-level (general practice, adults, time) linear regression models were conducted in MLwiN. RESULTS: A total of 426 adults initially agreed to participate (control group: n=149; GPs’ intervention group: n=41; researchers’ intervention group: n=236). A high attrition rate was observed in both intervention groups (71.8%, 199/277) and in the control group (59.1%, 88/149). In comparison to no change in the control group, both the GPs’ intervention group (fruit: χ(2) (1)=10.9, P=.004; vegetable: χ(2) (1)=5.3, P=.02) and the researchers’ intervention group (fruit: χ(2) (1)=18.0, P=.001; vegetable: χ(2) (1)=12.8, P<.001) increased their intake of fruit and vegetables. CONCLUSIONS: A greater increase in fruit and vegetable intake was found when the Web-based intervention MyPlan 1.0 was used compared to usual care of health promotion in general practice (ie, flyers with general information). However, further investigation on which (or combinations of which) behavior change techniques are effective, how to increase response rates, and the influence of delivery mode in routine practice is required. TRIAL REGISTRATION: ClinicalTrials.gov NCT02211040; https://clinicaltrials.gov/ct2/show/NCT02211040 (Archived by WebCite® at http://www.webcitation.org/6f8yxTRii) JMIR Publications Inc. 2016-02-29 /pmc/articles/PMC4791527/ /pubmed/26929095 http://dx.doi.org/10.2196/jmir.5252 Text en ©Jolien Plaete, Geert Crombez, Celien Van der Mispel, Maite Verloigne, Vicky Van Stappen, Ilse De Bourdeaudhuij. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.02.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Plaete, Jolien
Crombez, Geert
Van der Mispel, Celien
Verloigne, Maite
Van Stappen, Vicky
De Bourdeaudhuij, Ilse
Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title_full Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title_fullStr Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title_full_unstemmed Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title_short Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial
title_sort effect of the web-based intervention myplan 1.0 on self-reported fruit and vegetable intake in adults who visit general practice: a quasi-experimental trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791527/
https://www.ncbi.nlm.nih.gov/pubmed/26929095
http://dx.doi.org/10.2196/jmir.5252
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