Criterion validity of two physical activity and one sedentary time questionnaire against accelerometry in a large cohort of adults and older adults

被引:33
作者
Sagelv, Edvard H. [1 ]
Hopstock, Laila A. [2 ]
Johansson, Jonas [2 ]
Hansen, Bjorge H. [3 ]
Brage, Soren [4 ,5 ]
Horsch, Alexander [6 ]
Ekelund, Ulf [7 ,8 ]
Morseth, Bente [1 ]
机构
[1] UiT Arctic Univ Norway, Fac Hlth Sci, Sch Sport Sci, Tromso, Troms, Norway
[2] UiT Arctic Univ Norway, Fac Hlth Sci, Dept Community Med, Tromso, Troms, Norway
[3] Univ Agder, Dept Sport Sci & Phys Educ, Fac Hlth & Sport Sci, Kristiansand, Vest Agder, Norway
[4] Univ Cambridge, MRC Epidemiol Unit, Cambridge, England
[5] Univ Southern Denmark, Fac Hlth Sci, Dept Sports Sci & Clin Biomech, Odense, Syddanmark, Denmark
[6] UiT Arctic Univ Norway, Fac Sci & Technol, Dept Comp Sci, Tromso, Troms, Norway
[7] Norwegian Sch Sport Sci, Dept Sports Med, Oslo, Norway
[8] Norwegian Inst Publ Hlth, Dept Chron Dis & Ageing, Oslo, Norway
基金
英国医学研究理事会;
关键词
accelerometer; epidemiology; medicine; physical activity; sitting time; CORONARY-HEART-DISEASE; CARDIOVASCULAR-DISEASE; ACTIVITY LEVEL; TROMSO HEART; VALIDATION; HEALTH; RELIABILITY; INACTIVITY; MORTALITY; FITNESS;
D O I
10.1136/bmjsem-2019-000661
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
ObjectivesWe compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion.MethodsParticipants in a cohort from the TromsO Study completed three questionnaires; (1) The Saltin-Grimby Physical Activity Level Scale (SGPALS) (n=4040); (2) The Physical Activity Frequency, Intensity and Duration (PAFID) questionnaire (n=5902)) calculated as MET-hours.week(-1) and (3) The International Physical Activity questionnaire (IPAQ) short-form sitting question (n=4896). We validated the questionnaires against the following accelerometry (Actigraph wGT3X-BT) estimates: vector magnitude counts per minute, steps.day(-1), time (minutes.day(-1)) in sedentary behaviour, light physical activity, moderate and vigorous physical activity (MVPA) non-bouted and >= 10min bouted MVPA.ResultsRanking of physical activity according to the SGPALS and quartiles (Q) of MET-hours.week(-1) from the PAFID were both positively associated with accelerometry estimates of physical activity (p<0.001) but correlations with accelerometry estimates were weak (SGPALS (PAL): r=0.11 to 0.26, p<0.001) and weak-to-moderate (PAFID: r=0.39 to 0.44, p<0.01). There was 1hour of accelerometry measured sedentary time from Q1 to Q4 in the IPAQ sitting question (p<0.001) and also weak correlations (r=0.22, p<0.01).ConclusionRanking of physical activity levels measured with PAQs appears to have higher validity than energy expenditure calculations. Self-reported sedentary time poorly reflects accelerometry measured sedentary time. These two PAQs can be used for ranking individuals into different physical activity categories supporting previous studies using these instruments when assessing associations with health outcomes.
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页数:7
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