Comparison of Self-reported versus Accelerometer-Measured Physical Activity

被引:508
|
作者
Dyrstad, Sindre M. [1 ]
Hansen, Bjorge H. [2 ]
Holme, Ingar M. [2 ]
Anderssen, Sigmund A. [2 ]
机构
[1] Univ Stavanger, Dept Educ & Sport Sci, N-4036 Stavanger, Norway
[2] Norwegian Sch Sport Sci, Dept Sports Med, Oslo, Norway
来源
关键词
IPAQ; ADULTS; NATIONAL SAMPLE; MET-MINUTES; PUBLIC HEALTH; MONITORING; ACTIVITY QUESTIONNAIRE IPAQ; UNITED-STATES; SHORT-FORM; ACTIVITY SURVEILLANCE; POPULATION-SAMPLE; VALIDITY; ADULTS; RELIABILITY; VALIDATION; CALIBRATION;
D O I
10.1249/MSS.0b013e3182a0595f
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Introduction The International Physical Activity Questionnaire (IPAQ) is one of the most widely used questionnaires to assess physical activity (PA). Validation studies for the IPAQ have been executed, but still there is a need for studies comparing absolute values between IPAQ and accelerometer in large population studies. Purpose To compare PA and sedentary time from the self-administered, short version of the IPAQ with data from ActiGraph accelerometer in a large national sample. Methods A total of 1751 adults (19-84 yr) wore an accelerometer (ActiGraph GT1M) for seven consecutive days and completed the IPAQ-Short Form. Sedentary time, total PA, and time spent in moderate to vigorous activity were compared in relation to sex, age, and education. Results Men and women reported, on average, 131 min center dot d(-1) (SE = 4 min center dot d(-1)) less sedentary time compared with the accelerometer measurements. The difference between self-reported and measured sedentary time and vigorous-intensity PA was greatest among men with a lower education level and for men 65 yr and older. Although men reported 47% more moderate to vigorous physical activity (MVPA) compared with women, there were no differences between sexes in accelerometer-determined MVPA. Accelerometer-determined moderate PA was reduced from 110 to 42 min center dot d(-1) (62%) when analyzed in blocks of 10 min (P < 0.0001) compared with 1-min blocks. The main correlation coefficients between self-reported variables and accelerometer measures of physical activity were between 0.20 and 0.46. Conclusions The participants report through IPAQ-Short Form more vigorous PA and less sedentary time compared with the accelerometer. The difference between self-reported and accelerometer-measured MVPA increased with higher activity and intensity levels. Associations between the methods were affected by sex, age, and education, but not body mass index.
引用
收藏
页码:99 / 106
页数:8
相关论文
共 50 条
  • [41] The descriptive epidemiology of accelerometer-measured physical activity in older adults
    Berkemeyer, K.
    Wijndaele, K.
    White, T.
    Cooper, A. J. M.
    Luben, R.
    Westgate, K.
    Griffin, S. J.
    Khaw, K. T.
    Wareham, N. J.
    Brage, S.
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2016, 13
  • [42] Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle age—the Northern Finland Birth Cohort 1966 Study
    Maisa S. Niemelä
    Maarit Kangas
    Riikka J. Ahola
    Juha P. Auvinen
    Anna-Maiju Leinonen
    Tuija H. Tammelin
    Eeva S. Vaaramo
    Sirkka M. Keinänen-Kiukaanniemi
    Raija I. Korpelainen
    Timo J. Jämsä
    [J]. BMC Public Health, 19
  • [43] Accelerometer-Measured Physical Activity Levels and Fatigue in Older Women
    Zaslavsky, Oleg
    Su, Yan
    Rillamas-Sun, Eileen
    Roopsawang, Inthira
    LaCroix, Andrea Z.
    [J]. JOURNAL OF AGING AND PHYSICAL ACTIVITY, 2020, 28 (05) : 692 - 698
  • [44] Youth Characteristics Related to Participation in Accelerometer-Measured Physical Activity
    Delker, Erin M.
    East, Patricia
    Wing, David
    Burrows, Raquel
    Reyes, Susanne
    Peirano, Patricio
    Algarin, Cecilia
    Gahagan, Sheila
    [J]. CIRCULATION, 2019, 139
  • [45] The descriptive epidemiology of accelerometer-measured physical activity in older adults
    K. Berkemeyer
    K. Wijndaele
    T. White
    A. J. M. Cooper
    R. Luben
    K. Westgate
    S. J. Griffin
    K. T. Khaw
    N. J. Wareham
    S. Brage
    [J]. International Journal of Behavioral Nutrition and Physical Activity, 13
  • [46] Data imputation for accelerometer-measured physical activity: the combined approach
    Lee, Paul H.
    [J]. AMERICAN JOURNAL OF CLINICAL NUTRITION, 2013, 97 (05): : 965 - 971
  • [47] Accelerometer-measured Physical Activity, Reproductive Hormones, and DNA Methylation
    Wu, Yue
    Goodrich, Jaclyn M.
    Dolinoy, Dana C.
    Sanchez, Brisa N.
    Ruiz-Narvaez, Edward A.
    Banker, Margaret
    Cantoral, Alejandra
    Mercado-Garcia, Adriana
    Tellez-Rojo, Martha M.
    Peterson, Karen E.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2020, 52 (03): : 598 - 607
  • [48] Comparison of Self-Reported and Objectively Measured Sedentary Behavior and Physical Activity in Undergraduate Students
    Nelson, Megan C.
    Taylor, Katie
    Vella, Chantal A.
    [J]. MEASUREMENT IN PHYSICAL EDUCATION AND EXERCISE SCIENCE, 2019, 23 (03) : 237 - 248
  • [49] Comparison between self-reported and device measured physical activity according to nutritional status
    Martorell, Miquel
    Maria Labrana, Ana
    Ramirez-Alarcon, Karina
    Diaz-Martinez, Ximena
    Garrido-Mendez, Alex
    Rodriguez-Rodriguez, Fernando
    Cigarroa, Igor
    Vasquez, Jaime
    Concha, Yeny
    Adela Martinez-Sanguinetti, Maria
    Maria Leiva, Ana
    Alvarez, Cristian
    Petermann-Rocha, Fanny
    Salas-Bravo, Carlos
    Celis-Morales, Carlos
    [J]. REVISTA MEDICA DE CHILE, 2020, 148 (01) : 37 - 45
  • [50] Discrepancy between Self-Reported and Objectively Measured Physical Activity
    Sakai, Tomoaki
    Nakano, Takahiro
    Kasuga, Kosho
    Oguri, Kazuo
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (05): : 787 - 787