Journal
AMERICAN JOURNAL OF EPIDEMIOLOGY
Volume 179, Issue 6, Pages 781-790Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwt330
Keywords
accelerometry; cohort studies; elderly; epidemiologic methods; physical activity; questionnaires
Categories
Funding
- US National Institutes of Health [R01AG013196, R01AG034454, R01HL036310]
- Medical Research Council [K013351]
- British Heart Foundation
- Economic and Social Research Council
- ESRC [ES/J023299/1] Funding Source: UKRI
- MRC [MR/K013351/1, MC_G0802536] Funding Source: UKRI
- British Heart Foundation [RG/13/2/30098] Funding Source: researchfish
- Economic and Social Research Council [ES/J023299/1] Funding Source: researchfish
- Medical Research Council [MR/K013351/1, MC_G0802536, G0700718B] Funding Source: researchfish
- National Institute for Health Research [SRF-2011-04-017] Funding Source: researchfish
- NIHR Newcastle Biomedical Research Centre [BH111030] Funding Source: researchfish
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The correlation between objective and self-reported measures of physical activity varies between studies. We examined this association and whether it differed by demographic factors or socioeconomic status (SES). Data were from 3,975 Whitehall II (United Kingdom, 2012-2013) participants aged 60-83 years, who completed a physical activity questionnaire and wore an accelerometer on their wrist for 9 days. There was a moderate correlation between questionnaire-and accelerometer-assessed physical activity (Spearman's r = 0.33, 95% confidence interval: 0.30, 0.36). The correlations were higher in high-SES groups than in low-SES groups (P's = 0.02), as defined by education (r = 0.38 vs. r = 0.30) or occupational position (r = 0.37 vs. r = 0.29), but did not differ by age, sex, or marital status. Of the self-reported physical activity, 68.3% came from mild activities, 25% from moderate activities, and only 6.7% from vigorous activities, but their correlations with accelerometer-assessed total physical activity were comparable (range of r ' s, 0.21-0.25). Self-reported physical activity from more energetic activities was more strongly associated with accelerometer data (for sports, r = 0.22; for gardening, r = 0.16; for housework, r = 0.09). High-SES persons reported more energetic activities, producing stronger accelerometer associations in these groups. Future studies should identify the aspects of physical activity that are most critical for health; this involves better understanding of the instruments being used.
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