Relationships of self-reported physical activity domains with accelerometry recordings in French adults
Abstract
The objective was to examine the relationships of self-reported physical activity (PA) by domain (leisure, occupational, other) with PA and sedentary time as measured objectively by accelerometry. Subjects were adults with low habitual PA levels from a community in northern France. Among subjects in the lowest tertile of a PA score from a screening questionnaire, 160 (37% males, age: 41.0 +/- 10.8 years, BMI: 25.1 +/- 4.1 kg/m(2), mean +/- SD) completed a detailed instrument (Modifiable Activity Questionnaire), and wore an accelerometer (Actigraph) for seven consecutive days. Relationships between questionnaire domains (occupational, leisure, and "non-occupational non-leisure") and accelerometry measures (total activity and sedentary time) were assessed using Spearman correlation coefficients. In this population, the highest contributor to total reported PA (h/week) was occupational PA. Time spent in non-occupational non-leisure PA ranked second in women and third in men. The most frequent non-occupational non-leisure PA were shopping and household chores. In women, non-occupational non-leisure PA contributed more than occupational or leisure-time PA to total PA energy expenditure (median: 18.0, 9.1, and 4.9 MET-h/week, respectively). Total PA by accelerometry (count/day) was correlated to leisure-time PA in women (r = 0.22, P < 0.05) and to occupational (r = 0.43, P < 0.01) and total reported PA (r = 0.39, P < 0.01) in men (all in MET-h/week). There was an inverse relationship between accelerometry sedentary time (h/day) and non-occupational non-leisure PA (MET-h/week, r = -0.30, P < 0.001). These findings indicate the importance of assessing non-occupational non-leisure PA for a better understanding of how individuals partition their time between active or sedentary occupations.
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The longitudinal measure of activity was subjective, although the MAQ has been widely used and validated against several objective measures, including accelerometry.
“Another limitation involves the subjective nature of the longitudinal measure of activity, although the MAQ has been widely used and validated against several objective measures, including accelerometry (16,22,23).”
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- Authors
- Jacobi, D., Charles, M.-A., Tafflet, M., Lommez, A., Borys, J.-M., & Oppert, J.-M.
- Affiliations
- Assistance Publique – Hôpitaux de Paris (FR)
- Université Paris-Sud (FR)
- Institut Pasteur (FR)
- Corresponding author
- Borys, Jean-Michel
- Oppert, Jean-Michel
- Venue
- European Journal of Epidemiology
- Published
- 2009-03-13
- Volume
- 24
- Issue
- 4
- Pages
- 171-179
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- OpenAlex
- W2070795875
- Cited by
- 64
- References
- 41
- Citations by year
- 2025: 2 · 2024: 4 · 2022: 3 · 2021: 2 · 2020: 4 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 6 · 2015: 12 · 2014: 2 · 2013: 7 · 2012: 3
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Life-span and Life-course Studies › Sports and Physical Education Studies
- Keywords
- physical activity, self-reported physical activity, accelerometry, sedentary time, occupational physical activity, leisure-time physical activity, housework, shopping, physical activity energy expenditure, physical inactivity, adults, sex differences
- MeSH terms
- Activities of Daily Living, Adolescent, Adult, Aged, Behavior, Energy Metabolism, Physical Exertion, Female, France, Humans, Leisure Activities, Life Style, Male, Middle Aged, Monitoring, Physiologic, Motor Activity, Surveys and Questionnaires, Self Disclosure, Sex Factors, Socioeconomic Factors, Exercise, Young Adult
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