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PubMed Publications| Keyword search (4,164 papers available) |  |
"Presseau J" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Strategies and resources used by public health units to encourage COVID-19 vaccination among priority groups: a behavioural science-informed review of three urban centres in Canada | Langmuir T; Wilson M; McCleary N; Patey AM; Mekki K; Ghazal H; Estey Noad E; Buchan J; Dubey V; Galley J; Gibson E; Fontaine G; Smith M; Alghamyan A; Thompson K; Crawshaw J; Grimshaw JM; Arnason T; Brehaut J; Michie S; Brouwers M; Presseau J; | 39891139 PSYCHOLOGY |
| 2 | Clustering of Health Behaviors in Canadians: A Multiple Behavior Analysis of Data from the Canadian Longitudinal Study on Aging | van Allen Z; Bacon SL; Bernard P; Brown H; Desroches S; Kastner M; Lavoie KL; Marques MM; McCleary N; Straus S; Taljaard M; Thavorn K; Tomasone JR; Presseau J; | 37155331 HKAP |
| 3 | Understanding national trends in COVID-19 vaccine hesitancy in Canada: results from five sequential cross-sectional representative surveys spanning April 2020-March 2021 | Lavoie K; Gosselin-Boucher V; Stojanovic J; Gupta S; Gagné M; Joyal-Desmarais K; Séguin K; Gorin SS; Ribeiro P; Voisard B; Vallis M; Corace K; Presseau J; Bacon S; | 35383087 HKAP |
| 4 | Ending the Pandemic: How Behavioural Science Can Help Optimize Global COVID-19 Vaccine Uptake | Vallis M; Bacon S; Corace K; Joyal-Desmarais K; Sheinfeld Gorin S; Paduano S; Presseau J; Rash J; Mengistu Yohannes A; Lavoie K; | 35062668 HKAP |
| 5 | Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging | van Allen Z; Bacon SL; Bernard P; Brown H; Desroches S; Kastner M; Lavoie K; Marques M; McCleary N; Straus S; Taljaard M; Thavorn K; Tomasone JR; Presseau J; | 34114962 HKAP |
| Title: | Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging | ||||
| Authors: | van Allen Z, Bacon SL, Bernard P, Brown H, Desroches S, Kastner M, Lavoie K, Marques M, McCleary N, Straus S, Taljaard M, Thavorn K, Tomasone JR, Presseau J | ||||
| Link: | pubmed.ncbi.nlm.nih.gov/34114962/ | ||||
| DOI: | 10.2196/24887 | ||||
| Publication: | JMIR research protocols | ||||
| Keywords: | CLSA; cluster analysis; health behaviors; multiple behaviors; network analysis; | ||||
| PMID: | 34114962 | Category: | Date Added: | 2021-06-11 | |
| Dept Affiliation: |
HKAP
1 School of Psychology, University of Ottawa, Ottawa, ON, Canada. 2 Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada. 3 Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, QC, Canada. 4 Montreal Behavioural Medicine Centre, Le Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal, Montreal, QC, Canada. 5 Department of Physical Activity Sciences, University of Quebec in Montreal, Montreal, QC, Canada. 6 Research Center of the Montreal Mental Health University Institute, Montreal, QC, Canada. 7 Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom. 8 Department of Food and Nutrition Sciences, Laval University, Quebec City, QC, Canada. 9 Department of Med |
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Description: |
<strong>Background:</strong> 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. <strong>Objective:</strong> 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. <strong>Methods:</strong> 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. <strong>Results:</strong> 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). <strong>Conclusions:</strong> 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. <strong>International registered report identifier (irrid):</strong> DERR1-10.2196/24887. |
