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Associations of Low- and High-Intensity Light Activity with Cardiometabolic Biomarkers
Bethany Howard1, Elisabeth A H Winkler, Parneet Sethi
11Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 2School of Public Health and Preventive Medicine, Monash University, Melbourne, AUSTRALIA; 3Cancer Prevention Research Center, School of Population Health, The University of Queensland, Brisbane, AUSTRALIA; 4Faculty of Physical Education and Recreation, University of Alberta, Edmonton, AB, CANADA; 5Center for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, AUSTRALIA; 6Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, AUSTRALIA; 7Department of Medicine, Alfred Hospital, Monash University, Melbourne, AUSTRALIA; and 8School of Sport Science, Exercise, and Health, University of Western Australia, Perth, AUSTRALIA.
Purpose:
Light-intensity physical activity (LIPA) accounts for much of adults' waking hours (≈40%) and substantially contributes to overall daily energy expenditure. Encompassing activity behaviors of low intensity (standing with little movement) to those of higher intensity (slow walking), LIPA is ubiquitous, yet little is known about how associations with health may vary depending on its intensity. We examined the associations of objectively assessed LIPA (categorized as either low LIPA [LLPA] or high LIPA [HLPA]) and moderate- to vigorous-intensity activity with cardiometabolic risk biomarkers.
Methods:
Cardiometabolic biomarkers were measured in 4614 US adults (47 ± 17 yr) who participated in the 2003-2004 and 2005-2006 National Health and Nutrition Examination Survey cycles. Multiple linear regression analyses examined the associations of three accelerometer-derived physical activity (SD increment per day) intensity categories (LLPA, 100-761 counts per minute; HLPA, 762-1951 counts per minute; moderate-intensity physical activity [MPA], 1952-5724 counts per minute; vigorous-intensity physical activity [VPA], ≥5725 counts per minute) with cardiometabolic biomarkers, adjusting for potential sociodemographic, behavioral, and medical confounders.
Results:
All intensities of physical activity were beneficially associated with waist circumference, C-reactive protein, triglycerides, fasting insulin, β-cell function, and insulin sensitivity (P < 0.05); only some activity intensities showed significant associations with systolic blood pressure (LLPA), body mass index, HDL cholesterol, fasting glucose, and 2-h plasma glucose (HLPA, MPA, and VPA). Generally, effect size increased with intensity of physical activity. Overall, further adjustment for waist circumference attenuated associations with MPA and VPA to a greater extent than associations with LLPA and HLPA.
Conclusions:
The cross-sectional findings provide novel evidence for the potential benefits of increasing both LLPA and HLPA. They further reinforce the established importance of moderate- to vigorous-intensity activity, the mainstay of public health recommendations.
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