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A systematic review of tailored eHealth interventions for weight loss

OBJECTIVE: The aim of this study is to review the evidence for tailored eHealth weight-loss interventions, describing in detail: 1. how tailoring was implemented in these studies and 2. whether these tailored approaches were effective in producing weight loss compared with generic or inactive contro...

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Autores principales: Ryan, Kathleen, Dockray, Samantha, Linehan, Conor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366004/
https://www.ncbi.nlm.nih.gov/pubmed/30783535
http://dx.doi.org/10.1177/2055207619826685
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author Ryan, Kathleen
Dockray, Samantha
Linehan, Conor
author_facet Ryan, Kathleen
Dockray, Samantha
Linehan, Conor
author_sort Ryan, Kathleen
collection PubMed
description OBJECTIVE: The aim of this study is to review the evidence for tailored eHealth weight-loss interventions, describing in detail: 1. how tailoring was implemented in these studies and 2. whether these tailored approaches were effective in producing weight loss compared with generic or inactive controls. METHODS: A systematic review was carried out. Five databases were searched up until 15 March, 2018, including: EBSCO, Science Direct, Pubmed, EMBASE and Web of Science, using combinations of the concepts ‘tailoring’, ‘eHealth’ and ‘overweight’. RESULTS: Eight articles relating to six interventions were accepted. Tailoring was carried out in a number of ways, based on, for example, anthropometric data, health-related behaviours (e.g. dietary intake, physical activity), goals (e.g. weight goal), theoretical determinants (e.g. confidence/willingness to change behaviours), psychosocial factors (e.g. social support) and participant location. Systems acquired data using strategies that ranged from online questionnaire administration, to the dynamic gathering of data from web-based diaries, websites, mobile applications and SMS messaging. Tailored interventions were more effective in supporting weight loss than generic or waitlist controls in four of the six articles. Effect sizes were very small to moderate, with evidence for fluctuations in effect sizes and differences of effect between tailoring and non-tailoring interventions, and between tailoring types, over time. CONCLUSIONS: We contribute an enhanced understanding of the variety of methods used for the tailoring of eHealth interventions for weight loss and propose a model for categorising tailoring approaches.
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spelling pubmed-63660042019-02-19 A systematic review of tailored eHealth interventions for weight loss Ryan, Kathleen Dockray, Samantha Linehan, Conor Digit Health Tailored Health Communication OBJECTIVE: The aim of this study is to review the evidence for tailored eHealth weight-loss interventions, describing in detail: 1. how tailoring was implemented in these studies and 2. whether these tailored approaches were effective in producing weight loss compared with generic or inactive controls. METHODS: A systematic review was carried out. Five databases were searched up until 15 March, 2018, including: EBSCO, Science Direct, Pubmed, EMBASE and Web of Science, using combinations of the concepts ‘tailoring’, ‘eHealth’ and ‘overweight’. RESULTS: Eight articles relating to six interventions were accepted. Tailoring was carried out in a number of ways, based on, for example, anthropometric data, health-related behaviours (e.g. dietary intake, physical activity), goals (e.g. weight goal), theoretical determinants (e.g. confidence/willingness to change behaviours), psychosocial factors (e.g. social support) and participant location. Systems acquired data using strategies that ranged from online questionnaire administration, to the dynamic gathering of data from web-based diaries, websites, mobile applications and SMS messaging. Tailored interventions were more effective in supporting weight loss than generic or waitlist controls in four of the six articles. Effect sizes were very small to moderate, with evidence for fluctuations in effect sizes and differences of effect between tailoring and non-tailoring interventions, and between tailoring types, over time. CONCLUSIONS: We contribute an enhanced understanding of the variety of methods used for the tailoring of eHealth interventions for weight loss and propose a model for categorising tailoring approaches. SAGE Publications 2019-02-05 /pmc/articles/PMC6366004/ /pubmed/30783535 http://dx.doi.org/10.1177/2055207619826685 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Tailored Health Communication
Ryan, Kathleen
Dockray, Samantha
Linehan, Conor
A systematic review of tailored eHealth interventions for weight loss
title A systematic review of tailored eHealth interventions for weight loss
title_full A systematic review of tailored eHealth interventions for weight loss
title_fullStr A systematic review of tailored eHealth interventions for weight loss
title_full_unstemmed A systematic review of tailored eHealth interventions for weight loss
title_short A systematic review of tailored eHealth interventions for weight loss
title_sort systematic review of tailored ehealth interventions for weight loss
topic Tailored Health Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366004/
https://www.ncbi.nlm.nih.gov/pubmed/30783535
http://dx.doi.org/10.1177/2055207619826685
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