TY - JOUR
T1 - Dynamic sitting
T2 - Measurement and associations with metabolic health
AU - van der Berg, Julianne D.
AU - Stehouwer, Coen D. A.
AU - Bosma, Hans
AU - Caserotti, Paolo
AU - Eiriksdottir, Gudny
AU - Arnardottir, Nanna Y.
AU - Van Domelen, Dane R.
AU - Brychta, Robert J.
AU - Chen, Kong Y.
AU - Sveinsson, Thorarinn
AU - Johannsson, Erlingur
AU - Launer, Lenore J.
AU - Gudnason, Vilmundur
AU - Jonsson, Palmi V.
AU - Harris, Tamara B.
AU - Koster, Annemarie
PY - 2019/8/3
Y1 - 2019/8/3
N2 - Dynamic sitting, such as fidgeting and desk work, might be associated with health, but remains difficult to identify out of accelerometry data. We examined, in a laboratory study, whether dynamic sitting can be identified out of triaxial activity counts. Among 18 participants (56% men, 27.3 +/- 6.5 years), up to 236 counts per minute were recorded in the anteroposterior and mediolateral axes during dynamic sitting using a hip-worn accelerometer. Subsequently, we examined in 621 participants (38% men, 80.0 +/- 4.7 years) from the AGES-Reykjavik Study whether dynamic sitting was associated with cardio-metabolic health. Compared to participants who recorded the fewest dynamic sitting minutes (Q(1)), those with more dynamic sitting minutes had a lower BMI (Q(2) = -1.39 (95%CI = -2.33;-0.46); Q(3) = -1.87 (-2.82;-0.92); Q(4) = -3.38 (-4.32;-2.45)), a smaller waist circumference (Q(2) = -2.95 (-5.44;-0.46); Q(3) = -3.47 (-6.01;-0.93); Q(4) = -8.21 (-10.72;-5.71)), and a lower odds for the metabolic syndrome (Q(2) = 0.74 [0.45;1.20] Q(3) = 0.58 [0.36;0.95]; Q(4) = 0.36 [0.22;0.59]). Our findings suggest that dynamic sitting might be identified using accelerometry and that this behaviour was associated with health. This might be important given the large amounts of time people spend sitting. Future studies with a focus on validation, causation and physiological pathways are needed to further examine the possible relevance of dynamic sitting.
AB - Dynamic sitting, such as fidgeting and desk work, might be associated with health, but remains difficult to identify out of accelerometry data. We examined, in a laboratory study, whether dynamic sitting can be identified out of triaxial activity counts. Among 18 participants (56% men, 27.3 +/- 6.5 years), up to 236 counts per minute were recorded in the anteroposterior and mediolateral axes during dynamic sitting using a hip-worn accelerometer. Subsequently, we examined in 621 participants (38% men, 80.0 +/- 4.7 years) from the AGES-Reykjavik Study whether dynamic sitting was associated with cardio-metabolic health. Compared to participants who recorded the fewest dynamic sitting minutes (Q(1)), those with more dynamic sitting minutes had a lower BMI (Q(2) = -1.39 (95%CI = -2.33;-0.46); Q(3) = -1.87 (-2.82;-0.92); Q(4) = -3.38 (-4.32;-2.45)), a smaller waist circumference (Q(2) = -2.95 (-5.44;-0.46); Q(3) = -3.47 (-6.01;-0.93); Q(4) = -8.21 (-10.72;-5.71)), and a lower odds for the metabolic syndrome (Q(2) = 0.74 [0.45;1.20] Q(3) = 0.58 [0.36;0.95]; Q(4) = 0.36 [0.22;0.59]). Our findings suggest that dynamic sitting might be identified using accelerometry and that this behaviour was associated with health. This might be important given the large amounts of time people spend sitting. Future studies with a focus on validation, causation and physiological pathways are needed to further examine the possible relevance of dynamic sitting.
KW - Dynamic sitting
KW - sedentary behaviour
KW - metabolic syndrome
KW - BMI
KW - accelerometry
KW - NONEXERCISE ACTIVITY THERMOGENESIS
KW - PHYSICAL-ACTIVITY
KW - SEDENTARY BEHAVIOR
KW - OLDER-ADULTS
KW - TIME
KW - MORTALITY
KW - DISEASE
KW - AGE
U2 - 10.1080/02640414.2019.1592800
DO - 10.1080/02640414.2019.1592800
M3 - Article
C2 - 30929574
VL - 37
SP - 1746
EP - 1754
JO - Journal of Sports Sciences
JF - Journal of Sports Sciences
SN - 0264-0414
IS - 15
ER -