Cargando…

Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population

BACKGROUND: Forming specific health plans can help translate good intentions into action. Mobile text reminders can further enhance the effects of planning on behavior. OBJECTIVE: Our aim was to explore the combined impact of a Web-based, fully automated planning tool and mobile text reminders on in...

Descripción completa

Detalles Bibliográficos
Autores principales: Soureti, Anastasia, Murray, Peter, Cobain, Mark, Chinapaw, Mai, van Mechelen, Willem, Hurling, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278104/
https://www.ncbi.nlm.nih.gov/pubmed/22182483
http://dx.doi.org/10.2196/jmir.1773
_version_ 1782223534092713984
author Soureti, Anastasia
Murray, Peter
Cobain, Mark
Chinapaw, Mai
van Mechelen, Willem
Hurling, Robert
author_facet Soureti, Anastasia
Murray, Peter
Cobain, Mark
Chinapaw, Mai
van Mechelen, Willem
Hurling, Robert
author_sort Soureti, Anastasia
collection PubMed
description BACKGROUND: Forming specific health plans can help translate good intentions into action. Mobile text reminders can further enhance the effects of planning on behavior. OBJECTIVE: Our aim was to explore the combined impact of a Web-based, fully automated planning tool and mobile text reminders on intention to change saturated fat intake, self-reported saturated fat intake, and portion size changes over 4 weeks. METHODS: Of 1013 men and women recruited online, 858 were randomly allocated to 1 of 3 conditions: a planning tool (PT), combined planning tool and text reminders (PTT), and a control group. All outcome measures were assessed by online self-reports. Analysis of covariance was used to analyze the data. RESULTS: Participants allocated to the PT (mean(sat) (urated) (fat) 3.6, mean(copingplanning) 3) and PTT (mean(saturatedfat) 3.5, mean(copingplanning) 3.1) reported a lower consumption of high-fat foods (F (2,571) = 4.74, P = .009) and higher levels of coping planning (F (2,571) = 7.22, P < .001) than the control group (mean(sat) (urated) (f) (at) 3.9, mean(copingplanning) 2.8). Participants in the PTT condition also reported smaller portion sizes of high-fat foods (mean 2.8; F (2,) (569) = 4.12, P = .0) than the control group (mean(portions) 3.1). The reduction in portion size was driven primarily by the male participants in the PTT (P = .003). We found no significant group differences in terms of percentage saturated fat intake, intentions, action planning, self-efficacy, or feedback on the intervention. CONCLUSIONS: These findings support the use of Web-based tools and mobile technologies to change dietary behavior. The combination of a fully automated Web-based planning tool with mobile text reminders led to lower self-reported consumption of high-fat foods and greater reductions in portion sizes than in a control condition. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN): 61819220; http://www.controlled-trials.com/ISRCTN61819220 (Archived by WebCite at http://www.webcitation.org/63YiSy6R8)
format Online
Article
Text
id pubmed-3278104
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Gunther Eysenbach
record_format MEDLINE/PubMed
spelling pubmed-32781042012-02-13 Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population Soureti, Anastasia Murray, Peter Cobain, Mark Chinapaw, Mai van Mechelen, Willem Hurling, Robert J Med Internet Res Original Paper BACKGROUND: Forming specific health plans can help translate good intentions into action. Mobile text reminders can further enhance the effects of planning on behavior. OBJECTIVE: Our aim was to explore the combined impact of a Web-based, fully automated planning tool and mobile text reminders on intention to change saturated fat intake, self-reported saturated fat intake, and portion size changes over 4 weeks. METHODS: Of 1013 men and women recruited online, 858 were randomly allocated to 1 of 3 conditions: a planning tool (PT), combined planning tool and text reminders (PTT), and a control group. All outcome measures were assessed by online self-reports. Analysis of covariance was used to analyze the data. RESULTS: Participants allocated to the PT (mean(sat) (urated) (fat) 3.6, mean(copingplanning) 3) and PTT (mean(saturatedfat) 3.5, mean(copingplanning) 3.1) reported a lower consumption of high-fat foods (F (2,571) = 4.74, P = .009) and higher levels of coping planning (F (2,571) = 7.22, P < .001) than the control group (mean(sat) (urated) (f) (at) 3.9, mean(copingplanning) 2.8). Participants in the PTT condition also reported smaller portion sizes of high-fat foods (mean 2.8; F (2,) (569) = 4.12, P = .0) than the control group (mean(portions) 3.1). The reduction in portion size was driven primarily by the male participants in the PTT (P = .003). We found no significant group differences in terms of percentage saturated fat intake, intentions, action planning, self-efficacy, or feedback on the intervention. CONCLUSIONS: These findings support the use of Web-based tools and mobile technologies to change dietary behavior. The combination of a fully automated Web-based planning tool with mobile text reminders led to lower self-reported consumption of high-fat foods and greater reductions in portion sizes than in a control condition. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN): 61819220; http://www.controlled-trials.com/ISRCTN61819220 (Archived by WebCite at http://www.webcitation.org/63YiSy6R8) Gunther Eysenbach 2011-12-20 /pmc/articles/PMC3278104/ /pubmed/22182483 http://dx.doi.org/10.2196/jmir.1773 Text en ©Anastasia Soureti, Peter Murray, Mark Cobain, Mai Chinapaw, Willem van Mechelen, Robert Hurling. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.12.2011. http://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/), 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
Soureti, Anastasia
Murray, Peter
Cobain, Mark
Chinapaw, Mai
van Mechelen, Willem
Hurling, Robert
Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title_full Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title_fullStr Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title_full_unstemmed Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title_short Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population
title_sort exploratory study of web-based planning and mobile text reminders in an overweight population
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278104/
https://www.ncbi.nlm.nih.gov/pubmed/22182483
http://dx.doi.org/10.2196/jmir.1773
work_keys_str_mv AT souretianastasia exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation
AT murraypeter exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation
AT cobainmark exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation
AT chinapawmai exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation
AT vanmechelenwillem exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation
AT hurlingrobert exploratorystudyofwebbasedplanningandmobiletextremindersinanoverweightpopulation