Cited by 144Physical Activity and HealthHealth and Medical StudiesObesity, Physical Activity, Diet

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Differences in Physical Activity Prevalence and Trends From 3 U.S. Surveillance Systems: NHIS, NHANES, and BRFSS

Carlson, Susan A., Densmore, Dianna, Fulton, Janet E., Yore, Michelle M., Kohl, Harold W.·2009·Journal of Physical Activity and Health

DOI 10.1123/jpah.6.s1.s18

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Abstract

Background: Three U.S. surveillance systems—National Health Interview Survey (NHIS), National Health and Nutrition Examination Survey (NHANES), and Behavioral Risk Factor Surveillance System (BRFSS)—estimate physical activity prevalence. Methods: Survey differences were examined qualitatively. Prevalence estimates by sex, age, and race/ethnicity were assessed for comparable survey periods. Trends were examined from NHIS 1998 to 2007, NHANES 1999 to 2006, and BRFSS 2001 to 2007. Results: Age-adjusted prevalence estimates appeared most similar for NHIS 2005 (physically active: 30.2%, inactive: 40.7%) and NHANES 2005 to 2006 (physically active: 33.5%, inactive: 32.4%). In BRFSS 2005, prevalence of being physically active was 48.3% and inactive was 13.9%. Across all systems, men were more likely to be active than women; non-Hispanic whites were most likely to be active; as age increased, overall prevalence of being active decreased. Prevalence of being active exhibited a significant increasing trend only in BRFSS 2001 to 2007 (P < .001), while prevalence of being inactive decreased significantly in NHANES 1999 to 2006 (P < .001) and BRFSS 2001 to 2007 (P < .001). Conclusions: Different ways of assessing physical activity in surveillance systems result in different prevalence estimates. Before comparing estimates from different systems, all aspects of data collection and data analysis should be examined to determine if comparisons are appropriate.

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Healthy People 2010
Yu, S. M. (1998) · Maternal and Child Health Journal · doi:10.1023/a:1021801927353 · Cited by 3,876
National Center for Health Statistics (NCHS)
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Sallis, J. F., & Saelens, B. E. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.11082780 · Cited by 2,351
Asking Sensitive Questions: The Impact of Data Collection Mode, Question Format, and Question Context
Tourangeau, R., & Smith, T. (1996) · Public Opinion Quarterly · doi:10.1086/297751 · Cited by 1,314
Consequences of reducing nonresponse in a national telephone survey.
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PUBLIC HEALTH SURVEILLANCE IN THE UNITED STATES
THACKER, S. B., & BERKELMAN, R. L. (1988) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036021 · Cited by 767
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Macera, C. A., JONES, D. A., Yore, M. M., Ham, S., Kohl, H. W., Kimsey, C. D., & Büchner, D. M. (2003) · MMWR Morbidity and Mortality Weekly Report · Cited by 357
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Authors: Carlson, S. A., Densmore, D., Fulton, J. E., Yore, M. M., & Kohl, H. W.
Affiliations: Centers for Disease Control and Prevention (US)
Orlando Health (US)
ORCID: Carlson, Susan A.
Fulton, Janet E.
Kohl, Harold W.
Venue: Journal of Physical Activity and Health
Publisher: Human Kinetics
Published: 2009-01
Volume: 6
Issue: s1
Pages: S18-S27
ISSN: 1543-3080 (ISSN-L)
1543-5474
DOI: 10.1123/jpah.6.s1.s18
OpenAlex: W2132305200
Cited by: 144
References: 19
Citations by year: 2025: 4 · 2024: 3 · 2023: 7 · 2022: 9 · 2021: 14 · 2020: 2 · 2019: 15 · 2018: 12 · 2017: 13 · 2016: 8 · 2015: 7 · 2014: 10 · 2013: 14 · 2012: 6
FWCI: 5.74
Type: journal article
Language: en
Open access: closed
Locations: Journal of Physical Activity and Health (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Studies
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords: physical activity prevalence, physical inactivity, NHIS, NHANES, Behavioral Risk Factor Surveillance System, physical activity trends, sex differences, racial and ethnic differences, age differences, physical activity measurement
MeSH terms: Adolescent, Adult, Aged, Ethnicity, Female, Health Surveys, Humans, Male, Middle Aged, Nutrition Surveys, Population Surveillance, Psychometrics, Surveys and Questionnaires, United States, Health Behavior, Exercise, Prevalence, Linear Models, Age Distribution, Sex Distribution, Behavioral Risk Factor Surveillance System, Healthy People Programs

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Differences in Physical Activity Prevalence and Trends From 3 U.S. Surveillance Systems: NHIS, NHANES, and BRFSS

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