Prevalence of Physical Activity and Sedentary Behavior Among Adults With Cardiovascular Disease in the United States
Open accessAbstract
BACKGROUND: Physical activity (PA) is recommended for primary and secondary prevention of cardiovascular disease (CVD). This study described the prevalence of self-reported and accelerometer-measured PA and sedentary behavior, using a nationally representative sample from the United States, a subset of whom had CVD, including angina, coronary heart disease (CHD), congestive heart failure (CHF), and myocardial infarction (MI). METHODS: Using the most recently available accelerometer data (combined 2003-2006) from the National Health and Nutrition Examination Survey, the study sample included 680 adults with CVD, who completed a questionnaire and wore an ActiGraph accelerometer for 1 week. A group without CVD (n = 1000) was also selected as the referent, with similar age, gender, and race/ethnic distributions as those with CVD (angina, CHD, CHF, MI) to compare PA and sedentary behavior estimates. Percentages and means were weighted to reflect the US population from 2003 to 2006. RESULTS: Among those with CVD, the proportion of individuals who engaged in self-reported past-month, moderate-intensity leisure activity ranged from 39.7% (CHF) to 53.8% (CHD) and vigorous-intensity leisure activity from 12.9% (CHF) to 18.4% (CHD), with walking being the most commonly reported activity. Television watching ≥4 h/d ranged from 36.2% (MI) to 44.8% (CHF). Using accelerometry, moderate- to vigorous-intensity PA ranged from 8.6 (CHF) to 11.4 min/d (angina). Sedentary behavior ranged from 9.6 (angina) to 10.1 h/d (CHF). All 4 CVD groups had lower leisure activity and moderate- to vigorous-intensity PA, and higher television watching and sedentary behavior, when compared with the referent group. CONCLUSIONS: Further efforts are needed to encourage PA and reduce sedentary behavior for secondary prevention of CVD.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Patients with cardiometabolic diseases, including coronary artery disease or diabetes, spend 70% to 90% of their waking time in sedentary behavior.
“patients with cardiometabolic diseases, including patients with coronary artery disease or diabetes, spend 70% to 90% of their waking time in sedentary behavior [7-9]”
From Feasibility and Preliminary Efficacy of a “Sit Less” Program Leveraging Fitbit Tracking and Tailored Text Messages in Cardiometabolic Disease: Findings From 2 Parallel Randomized Controlled Trials in Coronary Artery Disease and Type 2 Diabetes (2026) · cites this paper as [8]
The Results (Accelerometry Determined Physical Activity and Sedentary Behavior; page unavailable) report 9.8–10.3 sedentary hours per day among adults with cardiovascular disease, out of 14.2–14.5 hours of accelerometer wear during waking hours—roughly 70%. The study includes coronary heart disease, but does not report this measure for patients with diabetes or establish the upper end of the claimed 70%–90% range. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638 · see citing works
2011 Compendium of Physical Activities: A Second Update of Codes and MET Values
AINSWORTH, B. E., HASKELL, W. L., HERRMANN, S. D., MECKES, N., BASSETT, D. R., TUDOR-LOCKE, C., GREER, J. L., VEZINA, J., WHITT-GLOVER, M. C., & LEON, A. S. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821ece12 · Cited by 6,317 · see citing works
Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292 · see citing works
Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., & Troiano, R. P. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwm390 · Cited by 2,631 · see citing works
Too Much Sitting: The Population Health Science of Sedentary Behavior
Owen, N., Healy, G. N., Matthews, C. E., & Dunstan, D. W. (2010) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e3181e373a2 · Cited by 2,202 · see citing works
Validation of Accelerometer Wear and Nonwear Time Classification Algorithm
CHOI, L., LIU, Z., MATTHEWS, C. E., & BUCHOWSKI, M. S. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181ed61a3 · Cited by 1,804 · see citing works
Calibration of Accelerometer Output for Adults
MATTHEW, C. E. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185659.11982.3d · Cited by 651 · see citing works
Rhodes, R. E., Mark, R. S., & Temmel, C. S. D. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.10.020 · Cited by 483 · see citing works
Qaseem, A., Fihn, S. D., Williams, S., Dallas, P., Owens, D. K., & Shekelle, P. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-10-201211200-00010 · Cited by 391 · see citing works
Swift, D. L., Lavie, C. J., Johannsen, N. M., Arena, R. A., Earnest, C. P., O’Keefe, J. H., Milani, R. V., Blair, S. N., & Church, T. S. (2013) · Circulation Journal · doi:10.1253/circj.cj-13-0007 · Cited by 356 · see citing works
ActiGraph and Actical Physical Activity Monitors
John, D., & Freedson, P. S. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182399f5e · Cited by 353 · see citing works
Cortés, O., & Arthur, H. M. (2006) · American Heart Journal · doi:10.1016/j.ahj.2005.03.034 · Cited by 213 · see citing works
Dugmore, L. D., Tipson, R. J., Phillips, M. H., Flint, E. J., Stentiford, N. H., Bone, M. F., & Littler, W. A. (1999) · Heart · doi:10.1136/hrt.81.4.359 · Cited by 173 · see citing works
Predictors of Outpatient Cardiac Rehabilitation Utilization: The Minnesota Heart Survey Registry
Evenson, K. R., Rosamond, W. D., & Luepker, R. V. (1998) · Journal of Cardiopulmonary Rehabilitation · doi:10.1097/00008483-199805000-00002 · Cited by 155 · see citing works
Self-citationBarriers to Outpatient Cardiac Rehabilitation Participation and Adherence
Evenson, K. R., & Fleury, J. (2000) · Journal of Cardiopulmonary Rehabilitation · doi:10.1097/00008483-200007000-00005 · Cited by 154 · see citing works
Self-citationUse of Accelerometry to Measure Physical Activity in Older Adults at Risk for Mobility Disability
Pruitt, L. A., Glynn, N. W., King, A. C., Guralnik, J. M., Aiken, E. K., Miller, G., & Haskell, W. L. (2008) · Journal of Aging and Physical Activity · doi:10.1123/japa.16.4.416 · Cited by 143 · see citing works
Marshall, S. J., & Ramirez, E. R. (2011) · American Journal of Lifestyle Medicine · doi:10.1177/1559827610395487 · Cited by 142 · see citing works
Prevalence of Self-Reported Physically Active Adults—United States, 2007
(2009) · JAMA · doi:10.1001/jama.2009.246 · Cited by 132 · see citing works
Women and Cardiac Rehabilitation: Referral and Compliance Patterns
Halm, M. A., Penque, S., Doll, N. E., & Beahrs, M. M. (1999) · The Journal of Cardiovascular Nursing · doi:10.1097/00005082-199904000-00008 · Cited by 129 · see citing works
Scott, L. B., Ben-Or, K., & Allen, J. K. (2002) · Journal of Women s Health · doi:10.1089/15409990260430927 · Cited by 112 · see citing works
Qaseem, A., Fihn, S. D., Dallas, P., Williams, S., Owens, D. K., & Shekelle, P. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-10-201211200-00011 · Cited by 60 · see citing works
The efficacy and safety of exercise programs in cardiac rehabilitation
Haskell, W. L. (1994) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199407000-00002 · Cited by 58 · see citing works
Five-year Changes in North Carolina Outpatient Cardiac Rehabilitation
Evenson, K. R., Johnson, A. M., & Aytur, S. (2006) · Journal of Cardiopulmonary Rehabilitation · doi:10.1097/00008483-200611000-00006 · Cited by 16 · see citing works
Self-citationBentley, D. C., Khan, S., OH, P. I., et al. (2012) · Clinical Cardiology · doi:10.1002/clc.22084 · Cited by 14 · see citing works
Moran, A. E., Shen, A. Y., Turner-Lloveras, D., et al. (2012) · Heart · doi:10.1136/heartjnl-2012-302318 · Cited by 11 · see citing works
Change in the Prevalence of Leisure Activity with the Number of Activities Recalled
Evenson, K. R., Huston, S. L., Wood, J. L., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000093800.64675.56 · Cited by 10 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- [3]Ward J Warren C Silent victories: The history and practice of public health in twentieth century america Oxford, England Oxford University Press 2006
- [5]Qaseem A Fihn SD Dallas P Williams S Owens DK Shekelle P Clinical Guidelines Committee of the American College of Physicians Management of stable ischemic heart disease Ann Intern Med 2012 157 735 743 23165665
Cited by
Sorted by citations
Prince, S. A., Blanchard, C. M., Grace, S. L., & Reid, R. D. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487315617101 · Cited by 83 · see citing works
Freene, N., McManus, M., Mair, T., Tan, R., & Davey, R. (2020) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2019.07.008 · Cited by 37 · see citing works
Park, C., Dietrich, M. S., Larsen, B., Mayberry, L. S., Doyle, A., Ahn, S., Jean, J., Maquiling, K., Mogos, M. F., Muchira, J. M., et al. (2026) · JMIR mHealth and uHealth · doi:10.2196/56497
- Authors
- Evenson, K. R., Butler, E. N., & Rosamond, W. D.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Evenson, Kelly R.
- Venue
- Journal of Cardiopulmonary Rehabilitation and Prevention
- Published
- 2014-11
- Volume
- 34
- Issue
- 6
- Pages
- 406-419
- ISSN
- 1932-7501 (ISSN-L)
- PMC
- PMC4216242
- OpenAlex
- W2314418090
- Cited by
- 79
- References
- 28
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 10 · 2020: 14 · 2019: 7 · 2018: 3 · 2017: 12 · 2016: 9 · 2015: 4
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cardiopulmonary Rehabilitation and Prevention (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging
- National Heart, Lung, and Blood Institute (R21HL115385)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- physical activity, sedentary behavior, cardiovascular disease, coronary artery disease, congestive heart failure, myocardial infarction, angina pectoris, television viewing, moderate-to-vigorous physical activity, leisure-time physical activity, walking, secondary prevention, prevalence
- MeSH terms
- Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, United States, Exercise, Prevalence, Sedentary Behavior, Self Report, Accelerometry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review