Markers of adiposity among children and adolescents: Implications of the isotemporal substitution paradigm with sedentary behavior and physical activity patterns

被引:31
作者
Loprinzi P.D. [1 ]
Cardinal B.J. [2 ]
Lee H. [3 ]
Tudor-Locke C. [4 ]
机构
[1] Department of Health, Exercise Science, and Recreation Management, Center for Health Behavior Research, School of Applied Sciences, The University of Mississippi, 215 Turner Center, University, MS
[2] Program in Exercise and Sport Science, School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR
[3] Department of Sport and Health Sciences, Sangmyung University, Seoul
[4] Walking Behavior Laboratory, Population and Public Health Sciences, Pennington Biomedical Research Center, Baton Rouge, LA
关键词
Accelerometry; Epidemiology; Isotemporal substitution models; NHANES; Partition models;
D O I
10.1186/s40200-015-0175-9
中图分类号
学科分类号
摘要
Background: The purpose of this study was to examine the association between daily movement patterns and dual energy X-ray absorptiometry-determined body fat percent (DXA-BF%) among children and adolescents while applying both traditional and novel analytical procedures. Methods: Using data from the cross-sectional 2003-2006 National Health and Nutrition Examination Survey (n = 5607), physical activity was assessed via accelerometry, with the following movement patterns assessed: 1) meeting moderate-to-vigorous physical activity (MVPA) guidelines and engaging in more light-intensity physical activity (LIPA) than sedentary behavior (SB); 2) meeting MVPA guidelines, but engaging in less LIPA than SB; 3) not meeting MVPA guidelines, but engaging in more LIPA than SB; and 4) not meeting MVPA guidelines and engaging in less LIPA than SB. Various markers of adiposity (e.g., DXA-BF%) were assessed. Results: Children in movement pattern 1 (52 %), compared to those in movement pattern 4, had significantly lower levels of BMI (Δ 2.2 kg/m2), waist circumference (Δ 6.5 cm), tricep skinfold (Δ 4.2 mm), subscapularis skinfold (Δ 2.6 mm), android BF% (Δ 7.6 %), gynoid BF% (Δ 5.1 %), and total BF% (Δ 5.2 %). Substituting 60 min/day of SB with MVPA resulted in a 4.6 % decreased estimate of total DXA-BF%. No findings were significant for adolescents. Conclusions: The low proportion of children engaging in ≥ 60 min/day of MVPA and accumulating relatively more LIPA than SB had the lowest DXA-BF%. © 2015 Loprinzi et al.
引用
收藏
相关论文
共 53 条
[1]  
Jimenez-Pavon D., Kelly J., Reilly J.J., Associations between objectively measured habitual physical activity and adiposity in children and adolescents: Systematic review, Int J Pediatr Obes, 5, pp. 3-18, (2010)
[2]  
Kwon S., Janz K.F., Burns T.L., Levy S.M., Association between light-intensity physical activity and adiposity in childhood, Pediatr Exerc Sci, 23, pp. 218-229, (2011)
[3]  
Carson V., Ridgers N.D., Howard B.J., Winkler E.A., Healy G.N., Owen N., Et al., Light-intensity physical activity and cardiometabolic biomarkers in US adolescents, PLoS One, 8, (2013)
[4]  
Basterfield L., Pearce M.S., Adamson A.J., Frary J.K., Parkinson K.N., Wright C.M., Et al., Physical activity, sedentary behavior, and adiposity in English children, Am J Prev Med, 42, pp. 445-451, (2012)
[5]  
Fulton J.E., Dai S., Steffen L.M., Grunbaum J.A., Shah S.M., Labarthe D.R., Physical activity, energy intake, sedentary behavior, and adiposity in youth, Am J Prev Med, 37, pp. S40-S49, (2009)
[6]  
Hay J., Maximova K., Durksen A., Carson V., Rinaldi R.L., Torrance B., Et al., Physical activity intensity and cardiometabolic risk in youth, Arch Pediatr Adolesc Med, 166, pp. 1022-1029, (2012)
[7]  
Steele R.M., Sluijs E.M., Cassidy A., Griffin S.J., Ekelund U., Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children, Am J Clin Nutr, 90, pp. 1185-1192, (2009)
[8]  
Loprinzi P.D., Lee H., Cardinal B.J., Daily movement patterns and biological markers among adults in the United States, Prev Med, 60, pp. 128-130, (2013)
[9]  
Spittaels H., Cauwenberghe E., Verbestel V., Meester F., Dyck D., Verloigne M., Et al., Objectively measured sedentary time and physical activity time across the lifespan: a cross-sectional study in four age groups, Int J Behav Nutr Phys Act, 9, (2012)
[10]  
Buman M.P., Hekler E.B., Haskell W.L., Pruitt L., Conway T.L., Cain K.L., Et al., Objective light-intensity physical activity associations with rated health in older adults, Am J Epidemiol, 172, pp. 1155-1165, (2010)