Cited by 82Physical Activity and HealthObesity, Physical Activity, DietContext-Aware Activity Recognition Systems

Accelerometer compared with questionnaire measures of physical activity in relation to body size and composition: a large cross-sectional analysis of UK Biobank

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Guo, Wenji, Key, Timothy J, Reeves, Gillian K·2019·BMJ Open

Abstract

Objectives: Previous studies of the association between physical activity and adiposity are largely based on physical activity and body mass index (BMI) from questionnaires, which are prone to inaccurate and biased reporting. We assessed the associations of accelerometer-measured and questionnaire-measured physical activity with BMI, waist circumference and body fat per cent measured by bioelectrical impedance and dual-energy X-ray absorptiometry (DXA). Design: Cross-sectional analysis of UK Biobank participants. Setting: UK Biobank assessment centres. Participants: 78 947 UK Biobank participants (35 955 men and 42 992 women) aged 40–70 at recruitment, who had physical activity measured by both questionnaire and accelerometer. Main outcome measures: BMI, waist circumference and body fat per cent measured by bioelectrical impedance. Results: Greater physical activity was associated with lower adiposity. Women in the top 10th of accelerometer-measured physical activity had a 4.8 (95% CI 4.6 to 5.0) kg/m 2 lower BMI, 8.1% (95% CI 7.8% to 8.3%) lower body fat per cent and 11.9 (95% CI 11.4 to 12.4) cm lower waist circumference. Women in the top 10th of questionnaire-measured physical activity had a 2.5 (95% CI 2.3 to 2.7) kg/m 2 lower BMI, 4.3% (95% CI 4.0% to 4.5%) lower body fat per cent and 6.4 (95% CI 5.9 to 6.9) cm lower waist circumference, compared with women in the bottom 10th. The patterns were similar in men and also similar to body fat per cent measured by DXA compared with impedance. Conclusion: Our findings of approximately twofold stronger associations between physical activity and adiposity with objectively measured than with self-reported physical activity emphasise the need to incorporate objective measures in future studies.

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  • PA was objectively measured by an accelerometer which can capture leisure and non-leisure PA across multiple domains and minimized the recall bias and reporting bias.

    “Furthermore, PA was objectively measured by an accelerometer which can capture leisure and non-leisure PA across multiple domains28 and minimized the recall bias and reporting bias.”

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Authors
Guo, W., Key, T. J., & Reeves, G. K.
Affiliations
University of Oxford (GB)
Corresponding author
Guo, Wenji
Venue
BMJ Open
Publisher
BMJ
Published
2019-01
Volume
9
Issue
1
Pages
e024206
ISSN
2044-6055 (ISSN-L)
OpenAlex
W2914589198
Cited by
82
References
32
Citations by year
2026: 5 · 2025: 4 · 2024: 9 · 2023: 23 · 2022: 11 · 2021: 14 · 2020: 10 · 2019: 6
FWCI
7.03
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • BMJ Open (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Clarendon Fund
  • Cancer Research UK
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
physical activity, accelerometer-measured activity, self-reported physical activity, body mass index, adiposity, waist circumference, body fat percentage, body composition, sex differences, measurement validity, UK Biobank
MeSH terms
Adipose Tissue, Adult, Aged, Body Composition, Cross-Sectional Studies, Female, United Kingdom, Humans, Male, Middle Aged, Obesity, Surveys and Questionnaires, Exercise, Absorptiometry, Photon, Body Mass Index, Electric Impedance, Overweight, Waist Circumference, Self Report, Accelerometry

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