Discrepancies between Methods of Identifying Objectively Determined Physical Activity

Ham, Sandra A.; Reis, Jared P.; Strath, Scott J.; DuBose, Katrina D.; Ainsworth, Barbara E.

doi:10.1249/01.mss.0000235886.17229.42

Cited by 53 publications

(39 citation statements)

References 6 publications

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“…The accelerometers appear to be among the best measurement tools for the comparison of subjective methods as the questionnaire IPAQ-L [30,31] although for many that is criticized the accelerometer and the IPAQ-L using different units [32]. The results show a significant correlation, even if low, between the total physical activity measured with the accelerometer and the one obtained from the IPAQ-L questionnaire.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Physical Activity in a Group of Adults in Italy: Comparison of Two Different Methodologies

Barnaba¹,

Ciarapica²,

Polito³

2017

JPAR

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Introduction: Physical activity levels are often monitored to assess health behaviours and their associations with health status, including mortality and morbidity rates in the population. The International Physical Activity Questionnaire (IPAQ-L) was developed in the late 1990s to obtain internationally comparable data on health related physical activity and several studies have shown its acceptable validity and reliability for population-based studies. The aim of this study was the comparison of the International Physical Activity Questionnaire (IPAQ-L) against an objective method such as accelerometry. Methods: 220 volunteers (105 men and 115 women), aged 18-65 years, were recruited. All volunteers wore an accelerometer for 7 consecutive days, after that, we required them to complete the IPAQ-L together with a lifestyle questionnaire containing questions on physical exercise, smoking habits, alcohol consumption and other demographic data (age, sex, ect). Moreover, we collected measure of weight (kg) and height (cm) according to the standard procedure; body mass index (kg body weight/m 2 body height) has been calculated. Results: IPAQ-L showed a significant tendency to overestimate time spent in vigorous and moderate activities (p=0.0000) and to underestimate time spent sitting (p=0.0000). Additionally, the differences in minutes per day of moderate and vigorous physical activities between the IPAQ-L and the accelerometer reported in questionnaire increased. Nevertheless, we found a low positive correlation (r =0.30; p<0.05) between total physical activity measured by accelerometer and that obtained by the IPAQ-L. Conclusions: Our results showed low to moderate correlations between IPAQ-L and accelerometer pointing out differences across physical activity categories. This is an aspect that should be taken into account prior to deciding on use of an instrument for the assessment of physical activity; especially in small population groups preference should come down to objective tools such as the accelerometer.

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Section: Discussionmentioning

confidence: 99%

Assessment of Physical Activity in a Group of Adults in Italy: Comparison of Two Different Methodologies

Barnaba¹,

Ciarapica²,

Polito³

2017

JPAR

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“…Limitations of self-reports items include the tendency for people to report socially desirable responses. Moreover, although objective measures of PA, such as triaxial accelerometry or heart rate monitors are ideal, even these methods have their limitations, and this practice has been criticized due to the fact that accelerometers and self-report instruments measure different things (39). Other limitations could explain our results and the capacity of discrimination.…”

Section: Limitationsmentioning

confidence: 92%

Cut-off values for classifying active children and adolescentes using the Physical Activity Questionnaire: PAQ-C and PAQ-A

Benítez-Porres¹,

Alvero-Cruz

Sardinha

et al. 2016

Nutr Hosp

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“…However, their output is highly variable and difficult to put into clinical context. Interpretation depends on calibration equations and cutoff points for defining light, moderate, vigorous, and total activity [10][11][12][13][14][15]. To date, these cutoff points have been defined for nondisabled, young adults in the supervised setting with correlations to maximum oxygen consumption on cardiopulmonary exercise tests, not during free-living conditions in the population being studied.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of uniaxial accelerometer in chronic obstructive pulmonary disease

Moy¹

2008

JRRD

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Abstract-Wearable sensors have been developed and used in nondisabled adults. Little is known about their accuracy in patients with chronic disease. We tested the ActiHealth accelerometer, which measures step counts, in subjects with chronic obstructive pulmonary disease (COPD). We determined the intra-and interdevice coefficients of variation (CVs). We assessed the accuracy of the device in 15 nondisabled males and 46 subjects with COPD. Accuracy was defined as percent step capture, (device step count divided by manual step count) times 100. Predictors of percent step capture were identified using linear regression methods. The accelerometer has an intradevice CV ranging from 0.008 to 0.025 and an interdevice CV of 0.64. In nondisabled males, median percent step capture was 96% (interquartile range 81%-98%). In subjects with COPD, median percent step capture was 86% (interquartile range 72%-96%). Usual walking speed was the most important predictor of percent step capture (p = 0.004). The ActiHealth accelerometer has acceptable intra-and interdevice CVs. It is highly accurate in nondisabled subjects. The accuracy declines in subjects with COPD based on walking speed. Prior to using the ActiHealth accelerometer, researchers and clinicians should assess walking speed and percent step capture in each subject.

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Discrepancies between Methods of Identifying Objectively Determined Physical Activity

Abstract: The method used for analyzing ActiGraph activity data can result in large differences in the summary measure of minutes of moderate- to vigorous-intensity activity.

Cited by 53 publications

References 6 publications

Assessment of Physical Activity in a Group of Adults in Italy: Comparison of Two Different Methodologies

Assessment of Physical Activity in a Group of Adults in Italy: Comparison of Two Different Methodologies

Cut-off values for classifying active children and adolescentes using the Physical Activity Questionnaire: PAQ-C and PAQ-A

Accuracy of uniaxial accelerometer in chronic obstructive pulmonary disease

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