Comparison of three methods for measuring the time spent in physical activity

被引:110
作者
Ainsworth, BE [1 ]
Bassett, DR
Strath, SJ
Swartz, AM
O'Brien, WL
Thompson, RW
Jones, DA
Macera, CA
Kimsey, CD
机构
[1] Univ S Carolina, Sch Publ Hlth, Dept Epidemiol & Biostat, Columbia, SC 29208 USA
[2] Univ S Carolina, Sch Publ Hlth, Dept Exercise Sci, Columbia, SC 29208 USA
[3] Univ Tennessee, Dept Exercise Sci & Sports Management, Knoxville, TN 37996 USA
[4] Ctr Dis Control & Prevent, Phys Activ & Hlth Branch, Div Nutr & Phys Activ, Natl Ctr Chron Dis Prevent & Hlth Promot, Atlanta, GA 30341 USA
关键词
exercise; measurement; energy expenditure; epidemiology; survey; accelerometer; CSA;
D O I
10.1097/00005768-200009001-00004
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Purpose: Three methods for measuring time spent in daily physical activity (PA) were compared during a 21-d period among 83 adults (38 men and 45 women). Methods: Each day, participants wore a Computer Science and Applications, Inc. (CSA) monitor and completed a 1-page, 48-item PA log that reflected time spent in household, occupational, transportation, sport, conditioning, and leisure activities. Once a week, participants also completed a telephone survey to identify the number of minutes spent each week in nonoccupational walking and in moderate intensity and hard/very hard-intensity PA. Data were analyzed using descriptive statistics and Spearman rank-order correlations. Three equations developed to compute CSA cut points for moderate and hard/very hard PA were also compared with the PA logs and PA survey. Results: There was modest to good agreement for the time spent in different PA intensity categories between the three CSA cut point methods (r = 0.43-0.94, P < 0.001). Correlations between the CSA and PA logs ranged from r = 0.22 to r = 0.36, depending on the comparisons. Correlations between the survey items and PA logs were r = 0.26-0.54 (P < 0.01) for moderate and walking activities and r < 0.09 (P > 0.05) for hard/very hard activities. Correlations between the survey items and the CSA min per day varied according to the method used to compute the CSA intensity cut points. Conclusions: The results were consistent with findings from other PA validation studies that show motion sensors, PA logs, and surveys reflect PA; however, these methods do not always provide similar estimates of the time spent in resting/light, moderate, or hard/very hard PA.
引用
收藏
页码:S457 / S464
页数:8
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