Correlation of a Self-Report and Direct Measure of Physical Activity Level in the Electron-Beam Tomography and Risk Assessment Among Japanese and US Men in the Post World War II Birth Cohort (ERA JUMP) Study
スポンサーリンク
概要
- 論文の詳細を見る
Background: Physical activity (PA) is complex and a difficult behavior to assess as there is no ideal assessment tool(s) that can capture all contexts of PA. Therefore, it is important to understand how different assessment tools rank individuals. We examined the extent to which self-report and direct assessment PA tools yielded the same ranking of PA levels.<BR>Methods: PA levels were measured by the Modifiable Activity Questionnaire (MAQ) and pedometer at baseline among 855 white (W), African-American (AA), Japanese-American (JA), and Korean (K) men (mean age 45.3 years) in 3 geographic locations in the ERA JUMP study.<BR>Results: Korean men were more active than W, AA, and JA men, according to both the MAQ and pedometer (MAQ total PA [mean ± SD]: 41.6 ± 17.8, 20.9 ± 9.9, 20.0 ± 9.1, and 29.4 ± 10.3 metabolic equivalent [MET] hours/week, respectively; pedometer: 9584.4 ± 449.4, 8363.8 ± 368.6, 8930.3 ± 285.6, 8335.7 ± 368.6 steps/day, respectively). Higher levels of total PA in Korean men, as shown by MAQ, were due to higher occupational PA. Spearman correlations between PA levels reported on the MAQ and pedometer indicated positive associations ranging from rho = 0.29 to 0.42 for total activity, rho = 0.13 to 0.35 for leisure activity, and rho = 0.10 to 0.26 for occupational activity.<BR>Conclusions: The 2 assessment methods correlated and were complementary rather than interchangeable. The MAQ revealed why Korean men were more active. In some subpopulations it may be necessary to assess PA domains other than leisure and to use more than 1 assessment tool to obtain a more representative picture of PA levels.
- 日本疫学会の論文
著者
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Miura Katsuyuki
Department Of Applied Pharmacology And Therapeutics Osaka City University Medical School
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Okamura Tomonori
Department Of Cardiology National Cardiovascular Center
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Shin Chol
Institute Of Human Genomic Study Ansan Hospital Korea University Medical School
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El-saed Aiman
Department Of Epidemiology Graduate School Of Public Health. University Of Pittsburgh
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Sekikawa Akira
Department Of Epidemiology Graduate School Of Public Health University Of Pittsburg
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Masaki Kamal
Department Of Geriatric Medicine The John A. Burns School Of Medicine University Of Hawaii
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Curb J.
Department Of Geriatric Medicine The John A. Burns School Of Medicine University Of Hawaii
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Ueshima Hirotsuga
Department of Health Sciences, Shiga University of Medical Sciences
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Berger Marie
Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health
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Storti Kristi
Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health
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Kriska Andrea
Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health
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Arena Vincent
Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health
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Choo Jina
College of Nursing, Korea University
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Seto Todd
Department of Medicine, University of Hawaii, John A. Burns School of Medicine
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Miura Katsuyuki
Department of Health Sciences, Shiga University of Medical Sciences
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Sekikawa Akira
Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health
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Shin Chol
Institute of Human Genomic Study, Korea University
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