TY - JOUR
T1 - An exploration of sedentary behavior patterns in community-dwelling people with stroke: a cluster-based analysis
AU - Hendrickx, Wendy
AU - Riveros, Carlos
AU - Askim, Torunn
AU - Bussmann, Johannes B.J.
AU - Callisaya, Michele L.
AU - Chastin, Sebastien F.M.
AU - Dean, Catherine
AU - Ezeugwu, Victor
AU - Jones, Taryn M.
AU - Kuys, Suzanne S.
AU - Mahendran, Niruthikha
AU - Manns, Patricia J.
AU - Mead, Gillian
AU - Moore, Sarah A.
AU - Paul, Lorna
AU - Pisters, Martijn F.
AU - Saunders, David H.
AU - Simpson, Dawn B.
AU - Tieges, Zoe
AU - Verschuren, Olaf
AU - English, Coralie
N1 - Acceptance in SAN (note of date from author). ST 11/03/21
AAM: 12m embargo
PY - 2021/4/14
Y1 - 2021/4/14
N2 - Background and
Purpose: Long periods of
daily sedentary time, particularly accumulated in long uninterrupted bouts, are
a risk factor for cardiovascular disease. People with stroke are at high risk
of recurrent events and prolonged sedentary time may increase this risk. We
aimed to explore how people with stroke distribute their periods of sedentary
behavior, which factors influence this distribution, and whether sedentary
behavior clusters can be distinguished?Methods: This was a secondary
analysis of original accelerometry data from adults with stroke living in the
community. We conducted data-driven clustering analyses to identify unique
accumulation patterns of sedentary time across participants, followed by
multinomial logistical regression to determine the association between the
clusters, and the total amount of sedentary time, age, gender, body mass index
(BMI), walking speed, and wake time.Results: Participants in
the highest quartile of total sedentary time accumulated a significantly higher
proportion of their sedentary time in prolonged bouts (P < 0.001). Six
unique accumulation patterns were identified, all of which were characterized
by high sedentary time. Total sedentary time, age, gender, BMI, and walking
speed were significantly associated with the probability of a person being in a
specific accumulation pattern cluster, P < 0.001 – P = 0.002.Discussion and
Conclusions: Although unique
accumulation patterns were identified, there is not just one accumulation pattern
for high sedentary time. This suggests that interventions to reduce sedentary
time must be individually tailored.
AB - Background and
Purpose: Long periods of
daily sedentary time, particularly accumulated in long uninterrupted bouts, are
a risk factor for cardiovascular disease. People with stroke are at high risk
of recurrent events and prolonged sedentary time may increase this risk. We
aimed to explore how people with stroke distribute their periods of sedentary
behavior, which factors influence this distribution, and whether sedentary
behavior clusters can be distinguished?Methods: This was a secondary
analysis of original accelerometry data from adults with stroke living in the
community. We conducted data-driven clustering analyses to identify unique
accumulation patterns of sedentary time across participants, followed by
multinomial logistical regression to determine the association between the
clusters, and the total amount of sedentary time, age, gender, body mass index
(BMI), walking speed, and wake time.Results: Participants in
the highest quartile of total sedentary time accumulated a significantly higher
proportion of their sedentary time in prolonged bouts (P < 0.001). Six
unique accumulation patterns were identified, all of which were characterized
by high sedentary time. Total sedentary time, age, gender, BMI, and walking
speed were significantly associated with the probability of a person being in a
specific accumulation pattern cluster, P < 0.001 – P = 0.002.Discussion and
Conclusions: Although unique
accumulation patterns were identified, there is not just one accumulation pattern
for high sedentary time. This suggests that interventions to reduce sedentary
time must be individually tailored.
KW - cardiovascular diseases
KW - movement behaviors
KW - physical activity
KW - sedentary time
KW - sitting time
U2 - 10.1097/NPT.0000000000000357
DO - 10.1097/NPT.0000000000000357
M3 - Article
JO - Journal of Neurologic Physical Therapy
JF - Journal of Neurologic Physical Therapy
SN - 1557-0576
ER -
