Associations of Vigorous-Intensity Physical Activity with Biomarkers in Youth

被引:22
|
作者
Moore, Justin B. [1 ]
Beets, Michael W. [2 ]
Brazendale, Keith [2 ]
Blair, Steven N. [2 ,3 ]
Pate, Russell R. [2 ]
Andersen, Lars B. [4 ]
Anderssen, Sigmund A. [5 ]
Grkntved, Anders [4 ]
Hallal, Pedro C. [6 ]
Kordas, Katarzyna [7 ]
Kriemler, Susi [8 ]
Reilly, John J. [9 ]
Sardinha, Luis B. [10 ]
机构
[1] Wake Forest Sch Med, Dept Family & Community Med, Winston Salem, NC USA
[2] Univ South Carolina, Arnold Sch Publ Hlth, Dept Exercise Sci, Columbia, SC USA
[3] Univ South Carolina, Arnold Sch Publ Hlth, Dept Epidemiol & Biostat, Columbia, SC USA
[4] Univ Southern Denmark, Dept Sport Sci & Clin Biomech, Odense, Denmark
[5] Norwegian Sch Sport Sci, Dept Sport Med, Oslo, Norway
[6] Univ Fed Pelotas, Pelotas, Brazil
[7] Univ Bristol, Sch Social & Community Med, Bristol, Avon, England
[8] Univ Zurich, Epidemiol Biostat & Publ Hlth Inst, Zurich, Switzerland
[9] Univ Strathclyde, Sch Psychol Sci & Hlth, Phys Act Hlth Grp, Glasgow, Lanark, Scotland
[10] Univ Lisbon, Fac Human Kinet, Exercise & Hlth Lab, CIPER, Cruz Quebrada, Portugal
来源
基金
英国医学研究理事会; 英国经济与社会研究理事会;
关键词
MOVEMENT; CARDIOMETABOLIC; ADIPOSITY; INSULIN; CARDIOMETABOLIC RISK-FACTORS; SEDENTARY TIME; QUANTILE REGRESSION; METABOLIC SYNDROME; MODERATE; ACCELEROMETER; CHILDREN; FITNESS; ADOLESCENTS; OBESITY;
D O I
10.1249/MSS.0000000000001249
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Introduction: Physical activity (PA) conveys known cardiometabolic benefits to youth, but the contribution of vigorous-intensity PA (VPA) to these benefits is unknown. Therefore, we sought to determine (a) the associations between VPA and cardiometabolic biomarkers independent of moderate-intensity PA (MPA) and time sedentary and (b) the accelerometer cut point that best represents the threshold for health-promoting VPA in youth. Methods: Data from the International Children's Accelerometry Database (ICAD) were analyzed in 2015. The relationship between cardiometabolic biomarkers and four categories of VPA estimated via three sets of cut points were examined using isotemporal substitution quantile regression modeling at the 10th, 25th, 50th, 75th, and 90th percentile of the distribution of each biomarker, separately. Age, sex, accelerometer wear time, sedentary time, and MPA were controlled for while allowing substitution for light-intensity PA. Data from 11,588 youth (4-18 yr) from 11 ICAD studies (collected 1998-2009) were analyzed. Results: Only 32 of 360 significant associations were observed. Significant, negative relationships were observed for VPA with waist circumference and insulin. Replacing light-intensity PA with VPA (corresponding to at the 25th to 90th percentiles of VPA) was associated with 0.67 (-1.33 to -0.01; P = 0.048) to 7.30 cm (-11.01 to -3.58; P < 0.001) lower waist circumference using Evenson and ICAD cut points (i.e., higher counts per minute). VPA levels were associated with 12.60 (-21.28 to -3.92; P = 0.004) to 27.03 pmol.L-1 (-45.03 to -9.03; P = 0.003) lower insulin levels at the 75th to 90th percentiles using Evenson and ICAD cut points when substituted for light PA. Conclusions: Substituting light PA with VPA was inversely associated with waist circumference and insulin. However, VPA was inconsistently related to the remaining biomarkers after controlling for time sedentary and MPA.
引用
收藏
页码:1362 / 1370
页数:9
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