Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging
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Authors
van Allen, Zack
Bacon, Simon
Bernard, Paquito
Brown, Heather
Desroches, Sophie
Kastner, Monika
Lavoie, Kim
Marques, Marta
McCleary, Nicola
Straus, Sharon
Date
2021-06
Type
journal article
Language
en
Keyword
Health behaviours , Multiple behaviours , Cluster analysis , Network analysis
Alternative Title
Abstract
Background: Health behaviours such as physical inactivity, unhealthy eating, smoking tobacco, and
alcohol use are leading risk factors for non-communicable chronic disease and play a central role in
limiting health and life satisfaction. To date, however, health behaviours tend to be considered
separately from one another, resulting in guidelines and interventions for healthy aging siloed by
specific behaviours and often focused only on a given health behaviour without considering the cooccurrence of family, social, work and other behaviours of everyday life. Objective: Understanding
how behaviours 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 behaviour change.
Methods: Using cross-sectional baseline data from the Canadian Longitudinal Study of Aging, we
will perform a pre-defined set of exploratory and hypothesis-generating analyses to examine the cooccurrence of health and everyday life behaviours. We will use agglomerative hierarchical cluster
analysis to cluster individuals based on their behavioural tendencies. Multinomial logistic regression
will then be employed to model the relationships between clusters and demographic indicators,
healthcare utilization, and general health and life satisfaction, and assess whether sex and age
moderate these relationships. Additionally, we will conduct network community detection analysis
using the clique percolation algorithm to detect overlapping communities of behaviours based on the
strength of relationships between variables.
Results: Baseline data for the Canadian Longitudinal Study of Aging was collected from n = 51338
participants between the ages of 45-85. 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 (e.g., physically inactive smokers) defined by the multiple behaviours that
describe their everyday life experience
Description
© 2021 (JMIR Publications). Shared with permission under the CC BY 4.0 license. This article was first published as: van Allen, Z., Bacon, S. L., Bernard, P., Brown, H., Desroches, S., Kastner, M., Lavoie, K., Marques, M., McCleary, N., Straus, S., Taljaard, M., Thavorn, K., Tomasone, J. R., & Presseau, J. (2021). Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging. JMIR research protocols, 10(6), e24887. https://doi.org/10.2196/24887https://doi.org/10.2196/24887
Citation
van Allen, Z., Bacon, S. L., Bernard, P., Brown, H., Desroches, S., Kastner, M., Lavoie, K., Marques, M., McCleary, N., Straus, S., Taljaard, M., Thavorn, K., Tomasone, J. R., & Presseau, P. (2021). Clustering of (un)healthy behaviours in older Canadians: Protocol for a multiple behaviour analysis of data from the Canadian Longitudinal Study on Aging. JMIR Research Protocols.,10(6)
Publisher
JMIR Publications