Validity and applicability of a simple questionnaire for the estimation of total and domain-specific physical activity

Abstract

Purpose We developed and evaluated a simple, robust and valid self-administered questionnaire for the estimation of physical activity (PA). Here, we examined the validity of this questionnaire in subjects with differing sex, ages, occupations and living circumstances. Methods The questionnaire consists of four domains, namely occupational activity, including housekeeping and commuting; leisure time activity; sleeping; and other activities. It was validated with 8-day, 24-h physical activity records (24 h-R) as the gold standard in 110 volunteers. ResultsTotal PA estimated by the questionnaire and the 24 h-R showed a moderately strong correlation (r = 0.69). Correlations between total PA by the PAQ and the 24 h-R for various subgroups, such as sex, age, area, occupation and BMI, were moderate to strong (0.55-0.80). Validity of domain-specific PA calculated by the questionnaire was also moderate to high. Conclusion This simple questionnaire produces valid estimates of total and domain-specific PA and can be applied to a broad population.

Validity of the Use of a Triaxial Accelerometer and a Physical Activity Questionnaire for Estimating Total Energy Expenditure and Physical Activity Level among Elderly Patients with Type 2 Diabetes Mellitus: CLEVER-DM Study

“…A previous study showed that implementation of 24-h PA records could be complicated by the need to record PA for several days [37]. The JPHC-PAQ Long was established to provide a valid estimation of total PA (METs) in comparison to 24-h PA records for 8 days among a slightly younger population (mean age 60.7 years) than the subjects in the present study [30]. Although this questionnaire was not originally designed to estimate energy expenditure, a recent study demonstrated the validity of the questionnaire for estimating TEE (compared with the DLW method) in a younger population [11].…”

“…Physical Activity Questionnaire Subjective PA in the past year was evaluated by recall using the Japan Public Health Center-based Prospective Study-PAQ long form (JPHC-PAQ Long) [30]. This questionnaire consists of 4 domains, namely, occupational activity: sitting (1.5 METs), standing (2.0 METs), walking (2.0 METs), and strenuous work (4.0 METs); leisure time activity: walking slowly (3.0 METs), walking fast (4.0 METs), light to moderate exercise (4.0 METs), and vigorous activity (4.5 METs); other activities (1.5 METs); and sleeping (0.9 METs).…”

“…This questionnaire consists of 4 domains, namely, occupational activity: sitting (1.5 METs), standing (2.0 METs), walking (2.0 METs), and strenuous work (4.0 METs); leisure time activity: walking slowly (3.0 METs), walking fast (4.0 METs), light to moderate exercise (4.0 METs), and vigorous activity (4.5 METs); other activities (1.5 METs); and sleeping (0.9 METs). The MET value for each type of activity was determined by comparison with 24-h physical activity records [30]. The time of other activities was calculated by subtracting the sum of the times associated with all activities from 24 h. Total METs h/day was calculated by summing the METs h/day of all of the above activities, and the mean METs day was calculated by dividing by 24 h.…”

Blood Metabolite Signature of Metabolic Syndrome Implicates Alterations in Amino Acid Metabolism: Findings from the Baltimore Longitudinal Study of Aging (BLSA) and the Tsuruoka Metabolomics Cohort Study (TMCS)

“…Total PA was determined by summing the three categories of activity and by multiplying the hours spent in each activity by the assigned MET value. The PA survey administered to TMCS participants was developed initially for the Japan Public Health Center-based Study [102] and relies on measurement of the domains of occupational activity, leisure time activity, sleeping, and other activities [103]. Total PA was determined by summing all domains of activity and by multiplying the hours spent in each activity by the assigned MET value.…”

Predictors of decline in vitamin D status in middle-aged and elderly individuals: a 5-year follow-up study

“…BMI was calculated by dividing weight (kg) by height squared (m 2 ). Physical activity levels were assessed by determining participant metabolic equivalent (MET) score (MET-h/d), obtained by multiplying the time score spent with activities by its MET intensity (16) . Time spent outdoors per d in the last week (<20, 20-39, 40-59, 60-179 and ≥180 min/d) and sunscreen use were determined.…”