Interruption in physical activity bout analysis: An accelerometry research issue

被引:15
作者
Ayabe M. [1 ,2 ]
Kumahara H. [2 ,3 ]
Morimura K. [2 ]
Tanaka H. [2 ]
机构
[1] Faculty of Computer Science and Systems Engineering, Okayama Prefectural University, Soja, Okayama 7191197
[2] Faculty of Health and Sports Science, Fukuoka University, Jhonan, Fukuoka 8140180
[3] Faculty of Nutritional Sciences, Nakamura Gakuen University, Jhonan, Fukuoka 8140104
关键词
Accelerometer; Accuracy; Methodology; Pedometer; Pedometry; Validity;
D O I
10.1186/1756-0500-7-284
中图分类号
学科分类号
摘要
Background: The purpose of the present investigation was to clarify the impact of the treatment of interruptions on the durations and the frequency of the physical activity (PA) bouts under free-living conditions. Methods. One hundred and forty adults (50 ± 7 years) wore an accelerometer (Lifecorder) for seven consecutive days under free-living conditions. According to the minutes by minutes metabolic equivalents (METs) value, the PA was divided into one of three intensity categories: light intensity PA (LPA, < 3 METs), moderate intensity PA (MPA, 3 to 6 METs), vigorous intensity PA (VPA, > 6 METs), and the sum of the MPA and VPA was defined as moderate to vigorous intensity PA (MVPA, > 3 METs). Thereafter, based on the time series data, we defined MVPA bouts as PA that was maintained at no less than 3 METs completely for 10 minutes or longer with or without allowing for a one-minute or a two-minute break (<3METs). Results: The frequency and duration of the continuous MVPA bouts lasting longer than 10-min were significantly lower and shorter compared with that in the non-continuous MVPA bouts allowing a one- or two-minute interruption (4.11 ± 1.65, 6.58 ± 2.72 and 8.97 ± 3.55 bouts/day, 71.62 ± 33.66, 119.03 ± 49.35 and 169.75 ± 65.87 min/day, P < 0.05). The number of days with a total time of MVPA bouts of 30-min was significantly lower in the continuous MVPA bouts compared with that in the non-continuous MVPA bouts allowing a 1-min or 2-min interruption (5.36 ± 1.65, 6.39 ± 1.07 and 6.65 ± 0.85 days/week). Conclusion: The treatment of interruptions for the setting of the accelerometer affects the estimation of the MVPA bouts under free-living conditions in middle-aged to older adults. The best analysis process with regard to the accelerometer quantifying the break to reflect the real behavioral pattern and the physiological stress in such subjects remains unclear. © 2014 Ayabe et al.; licensee BioMed Central Ltd.
引用
收藏
相关论文
共 22 条
[1]  
Haskell W.L., Lee I.-M., Pate R.R., Powell K.E., Blair S.N., Franklin B.A., MacEra C.A., Heath G.W., Thompson P.D., Bauman A., Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association, Medicine and Science in Sports and Exercise, 39, 8, pp. 1423-1434, (2007)
[2]  
Saris W.H.M., Blair S.N., Van Baak M.A., Eaton S.B., Davies P.S.W., Di Pietro L., Fogelholm M., Rissanen A., Schoeller D., Swinburn B., Tremblay A., Westerterp K.R., Wyatt H., How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO 1st stock conference and consensus statement, Obesity Reviews, 4, 2, pp. 101-114, (2003)
[3]  
Ishikawa-Takata K., Tabata I., Exercise and physical activity reference for health promotion 2006 (EPAR2006), J Epidemiol, 17, (2007)
[4]  
Strath S.J., Holleman R.G., Ronis D.L., Swartz A.M., Richardson C.R., Objective physical activity accumulation in bouts and nonbouts and relation to markers of obesity in US adults, Prev Chronic Dis, 5, (2008)
[5]  
Catenacci V.A., Grunwald G.K., Ingebrigtsen J.P., Jakicic J.M., McDermott M.D., Phelan S., Wing R.R., Hill J.O., Wyatt H.R., Physical Activity Patterns Using Accelerometry in the National Weight Control Registry, Obesity (Silver Spring), 6, pp. 1163-1170, (2011)
[6]  
Ayabe M., Kumahara H., Morimura K., Tanaka H., Epoch length and the physical activity bout analysis: An accelerometry research issue, BMC Research Notes, 6, (2013)
[7]  
Dencker M., Svensson J., El-Naaman B., Bugge A., Andersen L.B., Importance of epoch length and registration time on accelerometer measurements in younger children, J Sports Med Phys Fitness, 52, pp. 115-121, (2012)
[8]  
Miller G.D., Jakicic J.M., Rejeski W.J., Whit-Glover M.C., Lang W., Walkup M.P., Hodges M.L., Effect of Varying Accelerometry Criteria on Physical Activity: The Look AHEAD Study, Obesity (Silver Spring), 21, pp. 32-44, (2012)
[9]  
Masse L.C., Fuemmeler B.F., Anderson C.B., Matthews C.E., Trost S.G., Catellier D.J., Treuth M., Accelerometer data reduction: A comparison of four reduction algorithms on select outcome variables, Medicine and Science in Sports and Exercise, 37, 11 SUPPL., (2005)
[10]  
Heil D.P., Brage S., Rothney M.P., Modeling Physical Activity Outcomes from Wearable Monitors, Med Sci Sports Exerc, 44, (2012)