Abstract
Objective
To identify the patterns of activity, sitting and sleep that adults engage in, the
demographic and biological correlates of activity-sleep patterns and the relationship
between identified patterns and self-rated health.
Design and Setting
Online panel of randomly selected Australian adults (n = 2034) completing a cross-sectional survey in October-November 2013.
Participants
Panel members who provided complete data on all variables were included (n = 1532).
Measurements
Participants self-reported their demographic characteristics, height, weight, self-rated
health, duration of physical activity, frequency of resistance training, sitting time,
sleep duration, sleep quality, and variability in bed and wake times. Activity-sleep
patterns were determined using latent class analysis. Latent class regression was
used to examine the relationships between identified patterns, demographic and biological
characteristics, and self-rated health.
Results
A 4-class model fit the data best, characterized by very active good sleepers, inactive good sleepers, inactive poor sleepers, moderately
active good sleepers, representing 38.2%, 22.2%, 21.2%, and 18.4% of the sample, respectively. Relative
to the very active good sleepers, the inactive poor sleepers, and inactive good sleepers were more likely to report being female, lower education, higher body mass index,
and lower self-rated health, the moderately active good sleepers were more likely to be older, report lower education, higher body mass index and
lower self-rated health. Associations between activity-sleep pattern and self-rated
health were the largest in the inactive poor sleepers.
Conclusions
The 4 activity-sleep patterns identified had distinct behavioral profiles, sociodemographic
correlates, and relationships with self-rated health. Many adults could benefit from
behavioral interventions targeting improvements in physical activity and sleep.
Keywords
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Article info
Publication history
Published online: August 18, 2020
Identification
Copyright
© 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.
