Can we walk away from cardiovascular disease risk or do we have to ‘huff and puff’? A cross-sectional compositional accelerometer data analysis among adults and older adults in the Copenhagen City Heart Study

International Journal of Behavioral Nutrition and Physical Activity

Karen Søgaard¹  Melker Staffan Johansson²  Mette Korshøj²  Andreas Holtermann²  Jacob Louis Marott³  Eva Prescott³  Peter Schnohr³ 

[1] Department of Sports Science and Clinical Biomechanics, University of Southern Denmark;Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment;The Copenhagen City Heart Study, Bispebjerg and Frederiksberg Hospital;

关键词: Physical activity;    Sedentary behaviour;    Walking;    High-intensity physical activity;    Systolic blood pressure;    Waist circumference;   

DOI  :  10.1186/s12966-020-00985-w

来源: DOAJ

【 摘 要 】

Abstract Background It is unclear whether walking can decrease cardiovascular disease (CVD) risk or if high intensity physical activity (HIPA) is needed, and whether the association is modified by age. We investigated how sedentary behaviour, walking, and HIPA, were associated with systolic blood pressure (SBP), waist circumference (WC), and low-density lipoprotein cholesterol (LDL-C) among adults and older adults in a general population sample using compositional data analysis. Specifically, the measure of association was quantified by reallocating time between sedentary behaviour and 1) walking, and 2) HIPA. Methods Cross-sectional data from the fifth examination of the Copenhagen City Heart Study was used. Using the software Acti4, we estimated daily time spent in physical behaviours from accelerometer data worn 24 h/day for 7 days (i.e., right frontal thigh and iliac crest; median wear time: 6 days, 23.8 h/day). SBP, WC, and LDL-C were measured during a physical examination. Inclusion criteria were ≥ 5 days with ≥16 h of accelerometer recordings per day, and no use of antihypertensives, diuretics or cholesterol lowering medicine. The 24-h physical behaviour composition consisted of sedentary behaviour, standing, moving, walking, HIPA (i.e., sum of climbing stairs, running, cycling, and rowing), and time in bed. We used fitted values from linear regression models to predict the difference in outcome given the investigated time reallocations relative to the group-specific mean composition. Results Among 1053 eligible participants, we found an interaction between the physical behaviour composition and age. Age-stratified analyses (i.e.,

【 授权许可】

Unknown