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Personalization of Intervention Timing for Physical Activity: Scoping Review
BACKGROUND: The use of sensors in smartphones, smartwatches, and wearable devices has facilitated the personalization of interventions to increase users’ physical activity (PA). Recent research has focused on evaluating the effects of personalized interventions in improving PA among users. However,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922140/ https://www.ncbi.nlm.nih.gov/pubmed/35225811 http://dx.doi.org/10.2196/31327 |
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author | Chaudhari, Saurabh Ghanvatkar, Suparna Kankanhalli, Atreyi |
author_facet | Chaudhari, Saurabh Ghanvatkar, Suparna Kankanhalli, Atreyi |
author_sort | Chaudhari, Saurabh |
collection | PubMed |
description | BACKGROUND: The use of sensors in smartphones, smartwatches, and wearable devices has facilitated the personalization of interventions to increase users’ physical activity (PA). Recent research has focused on evaluating the effects of personalized interventions in improving PA among users. However, it is critical to deliver the intervention at an appropriate time to each user to increase the likelihood of adoption of the intervention. Earlier review studies have not focused on the personalization of intervention timing for increasing PA. OBJECTIVE: This review aims to examine studies of information technology–based PA interventions with personalized intervention timing (PIT); identify inputs (eg, user location) used by the system for generating the PIT, the techniques and methods used for generating the PIT, the content of the PA intervention, and delivery mode of the intervention; and identify gaps in existing literature and suggest future research directions. METHODS: A scoping review was undertaken using PsycINFO, PubMed, Scopus, and Web of Science databases based on a structured search query. The main inclusion criteria were as follows: the study aimed to promote PA, included some form of PIT, and used some form of information technology for delivery of the intervention to the user. If deemed relevant, articles were included in this review after removing duplicates and examining the title, abstract, and full text of the shortlisted articles. RESULTS: The literature search resulted in 18 eligible studies. In this review, 72% (13/18) of the studies focused on increasing PA as the primary objective, whereas it was the secondary focus in the remaining studies. The inputs used to generate the PIT were categorized as user preference, activity level, schedule, location, and predicted patterns. On the basis of the intervention technique, studies were classified as manual, semiautomated, or automated. Of these, the automated interventions were either knowledge based (based on rules or guidelines) or data driven. Of the 18 studies, only 6 (33%) evaluated the effectiveness of the intervention and reported positive outcomes. CONCLUSIONS: This work reviewed studies on PIT for PA interventions and identified several aspects of the interventions, that is, inputs, techniques, contents, and delivery mode. The reviewed studies evaluated PIT in conjunction with other personalization approaches such as activity recommendation, with no study evaluating the effectiveness of PIT alone. On the basis of the findings, several important directions for future research are also highlighted in this review. |
format | Online Article Text |
id | pubmed-8922140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89221402022-03-16 Personalization of Intervention Timing for Physical Activity: Scoping Review Chaudhari, Saurabh Ghanvatkar, Suparna Kankanhalli, Atreyi JMIR Mhealth Uhealth Review BACKGROUND: The use of sensors in smartphones, smartwatches, and wearable devices has facilitated the personalization of interventions to increase users’ physical activity (PA). Recent research has focused on evaluating the effects of personalized interventions in improving PA among users. However, it is critical to deliver the intervention at an appropriate time to each user to increase the likelihood of adoption of the intervention. Earlier review studies have not focused on the personalization of intervention timing for increasing PA. OBJECTIVE: This review aims to examine studies of information technology–based PA interventions with personalized intervention timing (PIT); identify inputs (eg, user location) used by the system for generating the PIT, the techniques and methods used for generating the PIT, the content of the PA intervention, and delivery mode of the intervention; and identify gaps in existing literature and suggest future research directions. METHODS: A scoping review was undertaken using PsycINFO, PubMed, Scopus, and Web of Science databases based on a structured search query. The main inclusion criteria were as follows: the study aimed to promote PA, included some form of PIT, and used some form of information technology for delivery of the intervention to the user. If deemed relevant, articles were included in this review after removing duplicates and examining the title, abstract, and full text of the shortlisted articles. RESULTS: The literature search resulted in 18 eligible studies. In this review, 72% (13/18) of the studies focused on increasing PA as the primary objective, whereas it was the secondary focus in the remaining studies. The inputs used to generate the PIT were categorized as user preference, activity level, schedule, location, and predicted patterns. On the basis of the intervention technique, studies were classified as manual, semiautomated, or automated. Of these, the automated interventions were either knowledge based (based on rules or guidelines) or data driven. Of the 18 studies, only 6 (33%) evaluated the effectiveness of the intervention and reported positive outcomes. CONCLUSIONS: This work reviewed studies on PIT for PA interventions and identified several aspects of the interventions, that is, inputs, techniques, contents, and delivery mode. The reviewed studies evaluated PIT in conjunction with other personalization approaches such as activity recommendation, with no study evaluating the effectiveness of PIT alone. On the basis of the findings, several important directions for future research are also highlighted in this review. JMIR Publications 2022-02-28 /pmc/articles/PMC8922140/ /pubmed/35225811 http://dx.doi.org/10.2196/31327 Text en ©Saurabh Chaudhari, Suparna Ghanvatkar, Atreyi Kankanhalli. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 28.02.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Chaudhari, Saurabh Ghanvatkar, Suparna Kankanhalli, Atreyi Personalization of Intervention Timing for Physical Activity: Scoping Review |
title | Personalization of Intervention Timing for Physical Activity: Scoping Review |
title_full | Personalization of Intervention Timing for Physical Activity: Scoping Review |
title_fullStr | Personalization of Intervention Timing for Physical Activity: Scoping Review |
title_full_unstemmed | Personalization of Intervention Timing for Physical Activity: Scoping Review |
title_short | Personalization of Intervention Timing for Physical Activity: Scoping Review |
title_sort | personalization of intervention timing for physical activity: scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922140/ https://www.ncbi.nlm.nih.gov/pubmed/35225811 http://dx.doi.org/10.2196/31327 |
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