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Sedentary Behavior, Physical Activity, and Fitness-The Maastricht Study

Authors :
Annemarie Koster
Ronald M.A. Henry
Simone J. S. Sep
Carla J.H. van der Kallen
Pieter C. Dagnelie
Miranda T. Schram
Coen D.A. Stehouwer
Martien C. J. M. van Dongen
Hans H.C.M. Savelberg
Simone J. P. M. Eussen
Nicolaas C. Schaper
Jeroen H. P. M. van der Velde
Julianne D. van der Berg
Interne Geneeskunde
RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome
RS: NUTRIM - R3 - Chronic inflammatory disease and wasting
Sociale Geneeskunde
RS: CAPHRI - R4 - Health Inequities and Societal Participation
Promovendi PHPC
RS: CAPHRI - R5 - Optimising Patient Care
Epidemiologie
MUMC+: HVC Pieken Maastricht Studie (9)
RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience
MUMC+: MA Interne Geneeskunde (3)
MUMC+: MA Endocrinologie (9)
RS: CAPHRI - R2 - Creating Value-Based Health Care
RS: CARIM - R3.02 - Hypertension and target organ damage
RS: NUTRIM - HB/BW section B
RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health
Source :
Medicine and Science in Sports and Exercise, 49, 1583-1591, Medicine and Science in Sports and Exercise, 49(8), 1583-1591. LIPPINCOTT WILLIAMS & WILKINS, Medicine and Science in Sports and Exercise, 49, 8, pp. 1583-1591
Publication Year :
2017

Abstract

Purpose: This cross-sectional study examined the mutual independent associations of sedentary behavior, lower intensity physical activity (LPA) and higher intensity physical activity (HPA) (an approximation of moderate to vigorous physical activity with cardiorespiratory fitness (CRF). Methods: Two thousand twenty-four participants were included from The Maastricht Study (mean +/- SD age, 59.7 +/- 8.1 yr; 49.6% men). With the activPAL3 activity monitor, we assessed sedentary time (ST), sedentary pattern variables (number of sedentary breaks, average sedentary bout duration, and number of prolonged sedentary bouts [>= 30 min]), LPA, and HPA. CRF was calculated as maximum power output per kilogram body mass (W-max.kg(-1)) estimated from a submaximal cycle ergometer test. Linear regression analyses and isotemporal substitution analyses were used to examine associations of ST, sedentary pattern variables, and HPA with CRF. Analyses were stratified by sex. Results: One hour of ST per day was associated with a lower W-max.kg(-1) : B-men = -0.03 (95% confidence interval [CI], -0.05 to -0.01) and B-women = -0.02 (95% CI, -0.04 to 0.00), independent of HPA. No statistically significant associations between sedentary patterns variables and CRF were observed. LPA was associated with a higher W-max.kg(-1): B-men = 0.12 (95% CI, 0.07-0.17) and B-women = -0.12 (95% CI, 0.07-0.18). HPA was associated with a higher W-max.kg(-1) : B-men = 0.48 (95% CI, 0.38-0.58) and B-women = 0.27 (95% CI, 0.18-0.36). Replacing ST with LPA (B-men, 0.08; 95% CI, 0.03-0.14; B-women, 0.10; 95% CI, 0.05-0.16) or with HPA (B-men, 0.49; 95% CI, 0.39-0.59; B-women = 0.28; 95% CI, 0.19-0.36), but not with standing was associated with higher CRF. Conclusions: Modest associations between sedentary behavior and CRF were observed. Replacing ST with LPA was associated with higher CRF, which could be of particular importance for individuals who cannot engage in HPA. Nonetheless, replacing ST with HPA was associated with greatest estimated change in CRF.

Details

ISSN :
01959131
Database :
OpenAIRE
Journal :
Medicine and Science in Sports and Exercise, 49, 1583-1591, Medicine and Science in Sports and Exercise, 49(8), 1583-1591. LIPPINCOTT WILLIAMS & WILKINS, Medicine and Science in Sports and Exercise, 49, 8, pp. 1583-1591
Accession number :
edsair.doi.dedup.....7d1fd23026c73e6dd262624d4ce62f3b
Full Text :
https://doi.org/10.1249/MSS.0000000000001262