International Journal of Behavioral Nutrition and Physical Activity | |
Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis | |
Kathleen F Janz2  Soyang Kwon1  | |
[1] Consortium to Lower Obesity in Chicago Children, Children’s Memorial Hospital, 2300 Children's Plaza, Box #157, Chicago, IL, 60614, USA;Epidemiology, University of Iowa, E130 Field House, Iowa City, IA, 52242, USA | |
关键词: Longitudinal; Adolescents; Exercise; Objective measure; Stability; | |
Others : 824841 DOI : 10.1186/1479-5868-9-68 |
|
received in 2012-01-18, accepted in 2012-04-18, 发布年份 2012 | |
【 摘 要 】
Background
Understanding of physical activity (PA) tracking during childhood is important to predict PA behaviors and design appropriate interventions. We compared tracking of PA according to PA level and type of day (weekday/weekend) in a pool of five children’s cohort studies.
Methods
Data from ALSPAC, CLAN, Iowa Bone Development Study, HEAPS, PEACH were extracted from the International Children’s Accelerometry Database (ICAD), resulting in 5,016 participants with age, gender, and accelerometry data at both baseline and follow-up (mean age: 10.3 years at baseline, 12.5 years at follow-up). Daily minutes spent in moderate- and vigorous-intensity PA (MVPA) and vigorous-intensity PA (VPA) was categorized into quintiles. Multinomial logistic regression models were fit to predict follow-up (M)VPA from baseline (M)VPA (reference: 20- < 80%tile), age at follow-up, and follow-up duration.
Results
For the weekday, VPA tracking for boys with high baseline VPA was higher than boys with low baseline VPA (ORs: 3.9 [95% CI: 3.1, 5.0] vs. 2.1 [95% CI: 1.6, 2.6]). Among girls, high VPA was less stable when compared low VPA (ORs: 1.8 [95% CI: 1.4, 2.2] vs. 2.6 [95% CI: 2.1, 3.2]). The pattern was similar for MVPA among girls (ORs: 1.6 [95% CI: 1.2, 2.0] vs. 2.8 [95% CI: 2.3, 3.6]). Overall, tracking was lower for the weekend.
Conclusions
PA tracking was higher on the weekday than the weekend, and among inactive girls than active girls. The PA “routine” of weekdays should be used to help children establish healthy PA patterns. Supports for PA increase and maintenance of girls are needed.
【 授权许可】
2012 Kwon and Janz; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20140713050259118.pdf | 662KB | download | |
Figure 1. | 111KB | Image | download |
【 图 表 】
Figure 1.
【 参考文献 】
- [1]Dumith SC, Gigante DP, Domingues MR, Kohl HW: Physical activity change during adolescence: a systematic review and a pooled analysis. Int J Epidemiol 2011, 40(3):685-698.
- [2]Foulkes M, Davis C: An index of tracking for longitudinal data. Biometrics 1981, 37:439-446.
- [3]Malina RM: Tracking of physical activity and physical fitness across the lifespan. Research quarterly for exercise and sport 1996, 67(3 Suppl):S48-S57.
- [4]Janz KF, Kwon S, Letuchy EM, Eichenberger Gilmore JM, Burns TL, Torner JC, Willing MC, Levy SM: Sustained effect of early physical activity on body fat mass in older children. American Journal of Preventive Medicine 2009, 37(1):35-40.
- [5]Physical Activity Guidelines Advisory C: Physical activity guidelines advisory committee report. Washington, DC: U.S. Department of Health and Human Services; 2008.
- [6]Corbin C: The untracking of sedentary living: a call for action. Pediatr Exerc Sci 2001, 13(1):347-356.
- [7]Telama R: Tracking of physical activity from childhood to adulthood: a review. Obesity facts 2009, 2(3):187-195.
- [8]Kristensen PL, Korsholm L, Møller NC, Wedderkopp N, Andersen LB, Froberg K: Sources of variation in habitual physical activity of children and adolescents: the European youth heart study. Scand J Med Sci Sports 2008, 18(3):298-308.
- [9]Sherar LB, Griew P, Esliger DW, Cooper AR, Ekelund U, Judge K, Riddoch C: International children's accelerometry database (ICAD): design and methods. BMC Publ Health 2011, 11:485. BioMed Central Full Text
- [10]Riddoch CJ, Leary SD, Ness AR, Blair SN, Deere K, Mattocks C, Griffiths A: Davey Smith G, Tilling K: Prospective associations between objective measures of physical activity and fat mass in 12–14year old children: the Avon Longitudinal Study of Parents and Children (ALSPAC). BMJ 2009, 339:b4544.
- [11]Ball K, Cleland VJ, Timperio AF, Salmon J, Crawford DA: Socioeconomic position and children's physical activity and sedentary behaviors: longitudinal findings from the CLAN study. J Phys Act Health 2009, 6(3):289-298.
- [12]Francis SL, Stancel MJ, Sernulka-George FD, Broffitt B, Levy SM, Janz KF: Tracking of TV and video gaming during childhood: Iowa Bone Development Study. Int J Behav Nutr Phys Act 2011, 8:100. BioMed Central Full Text
- [13]Hesketh K, Crawford D, Salmon J: Children's television viewing and objectively measured physical activity: associations with family circumstance. Int J Behav Nutr Phys Act 2006, 3:36. BioMed Central Full Text
- [14]Griew P, Page A, Thomas S, Hillsdon M, Cooper AR: The school effect on children's school time physical activity: the PEACH Project. Prev Med 2010, 51(3–4):282-286.
- [15]Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG: Calibration of two objective measures of physical activity for children. J Sports Sci 2008, 26(14):1-9.
- [16]Trost SG, Loprinzi PD, Moore R, Pfeiffer KA: Comparison of Accelerometer Cut-points for Predicting Activity Intensity in Youth. Med Sci Sports Exerc 2011, 43(7):1360-8.
- [17]Schneiderman E, Kowalski C, Ten Have T: A GAUSS program for computing an index of tracking from longitudinal observation. Am J Human Biol 1990, 2:475-490.
- [18]Erlandson MC, Sherar LB, Mosewich AD, Kowalski KC, Bailey DA, Baxter-Jones AD: Does controlling for biological maturity improve physical activity tracking? Med Sci Sports Exerc 2011, 43(5):800-807.
- [19]Moller NC, Kristensen PL, Wedderkopp N, Andersen LB, Froberg K: Objectively measured habitual physical activity in 1997/1998 vs 2003/2004 in Danish children: the European Youth Heart Study. Scandinavian journal of medicine & science in sports 2009, 19(1):19-29.
- [20]Malina R: Tracking of physical activity across the lifespan. President's Council on Physical Fitness and Sports. vol. 14 edition. Washington, DC: Research Digest Series 3; 2001:3-10.
- [21]Baggett CD, Stevens J, McMurray RG, Evenson KR, Murray DM, Catellier DJ, He K: Tracking of physical activity and inactivity in middle school girls. Med Sci Sports Exerc 2008, 40(11):1916-1922.
- [22]Sirard JR, Pfeiffer KA, Pate RR: Motivational factors associated with sports program participation in middle school students. J Adolesc Health 2006, 38(6):696-703.
- [23]Casey MM, Eime RM, Payne WR, Harvey JT: Using a socioecological approach to examine participation in sport and physical activity among rural adolescent girls. Qual Health Res 2009, 19(7):881-893.