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

被引:107
|
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
来源
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE | 2000年 / 32卷 / 09期
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
相关论文
共 50 条
  • [41] What is the time cost of exercise? Cost of time spent on exercise in a primary health care intervention to increase physical activity
    Hagberg, Lars
    Lundqvist, Stefan
    Lindholm, Lars
    COST EFFECTIVENESS AND RESOURCE ALLOCATION, 2020, 18 (01)
  • [42] Reallocating time spent in sleep, sedentary behavior and physical activity and its association with pain: a pilot sleep study from the Osteoarthritis Initiative
    Song, J.
    Dunlop, D. D.
    Semanik, P. A.
    Chang, A. H.
    Lee, Y. C.
    Gilbert, A. L.
    Jackson, R. D.
    Chang, R. W.
    Lee, J.
    OSTEOARTHRITIS AND CARTILAGE, 2018, 26 (12) : 1595 - 1603
  • [43] How valid are wearable physical activity trackers for measuring steps?
    An, Hyun-Sung
    Jones, Gregory C.
    Kang, Seoung-Ki
    Welk, Gregory J.
    Lee, Jung-Min
    EUROPEAN JOURNAL OF SPORT SCIENCE, 2017, 17 (03) : 360 - 368
  • [44] To total amount of activity .... and beyond: perspectives on measuring physical behavior
    Bussmann, Johannes B. J.
    van den Berg-Emons, Rita J. G.
    FRONTIERS IN PSYCHOLOGY, 2013, 4
  • [45] Measuring the determinants of physical activity in the community: Current and future directions
    Baker, EA
    Brennan, LK
    Brownson, R
    Houseman, RA
    RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 2000, 71 (02) : S146 - S158
  • [46] Measuring Physical Activity With Implanted Cardiac Devices: A Systematic Review
    Rosman, Lindsey
    Lampert, Rachel
    Sears, Samuel F.
    Burg, Matthew M.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2018, 7 (11):
  • [47] Psychological, interpersonal, and clinical factors predicting time spent on physical activity among Mexican patients with hypertension
    Ybarra Sagarduy, Jose Luis
    Camacho Mata, Dacia Yurima
    Moral de la Rubia, Jose
    Pina Lopez, Julio Alfonso
    Yunes Zarraga, Jose Luis Masud
    PATIENT PREFERENCE AND ADHERENCE, 2018, 12 : 89 - 96
  • [48] Measuring Presenteeism: Which Questionnaire to Use in Physical Activity Research?
    Brown, Helen Elizabeth
    Burton, Nicola
    Gilson, Nicholas David
    Brown, Wendy
    JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2014, 11 (02): : 241 - 248
  • [49] Practical Guide to Measuring Physical Activity
    Sylvia, Louisa G.
    Bernstein, Emily E.
    Hubbard, Jane L.
    Keating, Leigh
    Anderson, Ellen J.
    JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS, 2014, 114 (02) : 199 - 208
  • [50] Comparison and contrast of methods for measuring movements
    Leinonen, T
    Ma, XW
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 1996, 18 (04) : 229 - 237