Clustering of unhealthy behaviors

Detalhes bibliográficos
Autor(a) principal: Van Allen, Zack
Data de Publicação: 2021
Outros Autores: Bacon, Simon L., Bernard, Paquito, Brown, Heather, Desroches, Sophie, Kastner, Monika, Lavoie, Kim, Marques, Marta, McCleary, Nicola, Straus, Sharon, Taljaard, Monica, Thavorn, Kednapa, Tomasone, Jennifer R., Presseau, Justin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/121378
Resumo: Funding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Québec–Santé) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence–Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Université du Québec à Montréal, Institut Universitaire de Santé Mentale de Montréal, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors’ own and do not reflect the views of the CLSA. Funding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Qu?bec-Sant?) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence-Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Universit? du Qu?bec ? Montr?al, Institut Universitaire de Sant? Mentale de Montr?al, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors' own and do not reflect the views of the CLSA. Publisher Copyright: © 2021 JMIR Publications Inc. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
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spelling Clustering of unhealthy behaviorsProtocol for a multiple behavior analysis of data from the canadian longitudinal study on agingCLSACluster analysisHealth behaviorsMultiple behaviorsNetwork analysisMedicine(all)SDG 3 - Good Health and Well-beingFunding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Québec–Santé) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence–Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Université du Québec à Montréal, Institut Universitaire de Santé Mentale de Montréal, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors’ own and do not reflect the views of the CLSA. Funding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Qu?bec-Sant?) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence-Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Universit? du Qu?bec ? Montr?al, Institut Universitaire de Sant? Mentale de Montr?al, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors' own and do not reflect the views of the CLSA. Publisher Copyright: © 2021 JMIR Publications Inc. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.Background: Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are leading risk factors for noncommunicable chronic diseases and play a central role in limiting health and life satisfaction. To date, however, health behaviors tend to be considered separately from one another, resulting in guidelines and interventions for healthy aging siloed by specific behaviors and often focused only on a given health behavior without considering the co-occurrence of family, social, work, and other behaviors of everyday life. Objective: The aim of this study is to understand how behaviors cluster and how such clusters are associated with physical and mental health, life satisfaction, and health care utilization may provide opportunities to leverage this co-occurrence to develop and evaluate interventions to promote multiple health behavior changes. Methods: Using cross-sectional baseline data from the Canadian Longitudinal Study on Aging, we will perform a predefined set of exploratory and hypothesis-generating analyses to examine the co-occurrence of health and everyday life behaviors. We will use agglomerative hierarchical cluster analysis to cluster individuals based on their behavioral tendencies. Multinomial logistic regression will then be used to model the relationships between clusters and demographic indicators, health care utilization, and general health and life satisfaction, and assess whether sex and age moderate these relationships. In addition, we will conduct network community detection analysis using the clique percolation algorithm to detect overlapping communities of behaviors based on the strength of relationships between variables. Results: Baseline data for the Canadian Longitudinal Study on Aging were collected from 51,338 participants aged between 45 and 85 years. Data were collected between 2010 and 2015. Secondary data analysis for this project was approved by the Ottawa Health Science Network Research Ethics Board (protocol ID #20190506-01H). Conclusions: This study will help to inform the development of interventions tailored to subpopulations of adults (eg, physically inactive smokers) defined by the multiple behaviors that describe their everyday life experiences.Comprehensive Health Research Centre (CHRC) - pólo NMSNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNVan Allen, ZackBacon, Simon L.Bernard, PaquitoBrown, HeatherDesroches, SophieKastner, MonikaLavoie, KimMarques, MartaMcCleary, NicolaStraus, SharonTaljaard, MonicaThavorn, KednapaTomasone, Jennifer R.Presseau, Justin2021-07-20T22:20:00Z2021-062021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/121378eng1929-0748PURE: 32498746https://doi.org/10.2196/24887info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:03:40Zoai:run.unl.pt:10362/121378Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:35.454905Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Clustering of unhealthy behaviors
Protocol for a multiple behavior analysis of data from the canadian longitudinal study on aging
title Clustering of unhealthy behaviors
spellingShingle Clustering of unhealthy behaviors
Van Allen, Zack
CLSA
Cluster analysis
Health behaviors
Multiple behaviors
Network analysis
Medicine(all)
SDG 3 - Good Health and Well-being
title_short Clustering of unhealthy behaviors
title_full Clustering of unhealthy behaviors
title_fullStr Clustering of unhealthy behaviors
title_full_unstemmed Clustering of unhealthy behaviors
title_sort Clustering of unhealthy behaviors
author Van Allen, Zack
author_facet Van Allen, Zack
Bacon, Simon L.
Bernard, Paquito
Brown, Heather
Desroches, Sophie
Kastner, Monika
Lavoie, Kim
Marques, Marta
McCleary, Nicola
Straus, Sharon
Taljaard, Monica
Thavorn, Kednapa
Tomasone, Jennifer R.
Presseau, Justin
author_role author
author2 Bacon, Simon L.
Bernard, Paquito
Brown, Heather
Desroches, Sophie
Kastner, Monika
Lavoie, Kim
Marques, Marta
McCleary, Nicola
Straus, Sharon
Taljaard, Monica
Thavorn, Kednapa
Tomasone, Jennifer R.
Presseau, Justin
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Comprehensive Health Research Centre (CHRC) - pólo NMS
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Van Allen, Zack
Bacon, Simon L.
Bernard, Paquito
Brown, Heather
Desroches, Sophie
Kastner, Monika
Lavoie, Kim
Marques, Marta
McCleary, Nicola
Straus, Sharon
Taljaard, Monica
Thavorn, Kednapa
Tomasone, Jennifer R.
Presseau, Justin
dc.subject.por.fl_str_mv CLSA
Cluster analysis
Health behaviors
Multiple behaviors
Network analysis
Medicine(all)
SDG 3 - Good Health and Well-being
topic CLSA
Cluster analysis
Health behaviors
Multiple behaviors
Network analysis
Medicine(all)
SDG 3 - Good Health and Well-being
description Funding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Québec–Santé) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence–Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Université du Québec à Montréal, Institut Universitaire de Santé Mentale de Montréal, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors’ own and do not reflect the views of the CLSA. Funding Information: This research was made possible using the data or biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation. This research has been conducted using the CLSA data set [Baseline Tracking Dataset version 3.4 and Comprehensive Dataset version 4.0.], under Application Number [19CA012]. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Peer review documents for the CIHR grant application are available in Multimedia Appendix 4. ZVA is supported by a CIHR Doctoral Award: Frederick Banting and Charles Best Canada Graduate Scholarship. SLB is supported by a CIHR-Strategy for Patient-Oriented Research Mentoring Chair (SMC-151518) and an FRQS (Fonds de Recherche du Qu?bec-Sant?) Chair (251618). MM is funded by a Marie-Sklodowska-Curie Fellowship (grant agreement 713567) at the ADAPT (Artificial Intelligence-Driven Digital Content Technology) Science Foundation Ireland Research Centre at Trinity College. PB was supported by Universit? du Qu?bec ? Montr?al, Institut Universitaire de Sant? Mentale de Montr?al, and by a salary award from FRQS. The opinions expressed in this manuscript are the authors' own and do not reflect the views of the CLSA. Publisher Copyright: © 2021 JMIR Publications Inc. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-20T22:20:00Z
2021-06
2021-06-01T00:00:00Z
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PURE: 32498746
https://doi.org/10.2196/24887
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