The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.
Association of Light Physical Activity Measured by Accelerometry and Incidence of Coronary Heart Disease and Cardiovascular Disease in Older Women
Open accessAbstract
Importance: To our knowledge, no studies have examined light physical activity (PA) measured by accelerometry and heart disease in older women. Objective: To investigate whether higher levels of light PA were associated with reduced risks of coronary heart disease (CHD) or cardiovascular disease (CVD) in older women. Design, Setting, and Participants: Prospective cohort study of older women from baseline (March 2012 to April 2014) through February 28, 2017, for up to 4.91 years. The setting was community-dwelling participants from the Women's Health Initiative. Participants were ambulatory women with no history of myocardial infarction or stroke. Exposures: Data from accelerometers worn for a requested 7 days were used to measure light PA. Main Outcomes and Measures: Cox proportional hazards regression models estimated hazard ratios (HRs) and 95% CIs for physician-adjudicated CHD and CVD events across light PA quartiles adjusting for possible confounders. Light PA was also analyzed as a continuous variable with and without adjustment for moderate to vigorous PA (MVPA). Results: Among 5861 women (mean [SD] age, 78.5 [6.7] years), 143 CHD events and 570 CVD events were observed. The HRs for CHD in the highest vs lowest quartiles of light PA were 0.42 (95% CI, 0.25-0.70; P for trend <.001) adjusted for age and race/ethnicity and 0.58 (95% CI, 0.34-0.99; P for trend = .004) after additional adjustment for education, current smoking, alcohol consumption, physical functioning, comorbidity, and self-rated health. Corresponding HRs for CVD in the highest vs lowest quartiles of light PA were 0.63 (95% CI, 0.49-0.81; P for trend <.001) and 0.78 (95% CI, 0.60-1.00; P for trend = .004). The HRs for a 1-hour/day increment in light PA after additional adjustment for MVPA were 0.86 (95% CI, 0.73-1.00; P for trend = .05) for CHD and 0.92 (95% CI, 0.85-0.99; P for trend = .03) for CVD. Conclusions and Relevance: The present findings support the conclusion that all movement counts for the prevention of CHD and CVD in older women. Large, pragmatic randomized trials are needed to test whether increasing light PA among older women reduces cardiovascular risk.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The existing evidence regarding associations between LPA and risks for developing cardiovascular events in the general population is conflicting.13, 14, 15, 16”
From Accelerometer-measured physical activity, sedentary behavior, and incidence of macrovascular and microvascular events in individuals with type 2 diabetes mellitus and prediabetes (2025) · cites this paper as [13]
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.
Citations
Cites
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497
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
(2010) · University of Twente Research Information · Cited by 6,037
Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885
The rand 36‐item health survey 1.0
Hays, R. D., Sherbourne, C. D., & Mazel, R. M. (1993) · Health Economics · doi:10.1002/hec.4730020305 · Cited by 2,971
Total energy intake: implications for epidemiologic analyses.
WILLETT, W., & STAMPFER, M. J. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114366 · Cited by 2,751
Flexible regression models with cubic splines
Durrleman, S., & Simon, R. M. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080504 · Cited by 2,722
Flagged first, then by citations
1 of the 43 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- National Center for Health Statistics, Health, United States, 2016: With Chartbook on Long-term Trends in Health
Cited by
Sorted by citations
Items 101–162 of 162
O Estilo de Vida dos Muito Idosos Importa
Cesena, F. Y. (2020) · Arquivos Brasileiros de Cardiologia · doi:10.36660/abc.20200586 · Cited by 5
Defining Activity Thresholds Triggering a “Stand Hour” for Apple Watch Users: Cross-Sectional Study
Lyons, K., Man, A. H. H., Booth, D. B., & Rena, G. (2024) · JMIR Formative Research · doi:10.2196/53806 · Cited by 3
“Previous studies investigating breaks in SB have often used accelerometry to measure physical activity levels [15,16].”
BackgroundHu, C., Lv, Z., Zhu, J., Lai, C., Guo, D., Chen, M., Cheng, X., Rao, M., Zhou, X., & Su, L. (2025) · Journal of Medical Internet Research · doi:10.2196/65868 · Cited by 4
Heath, G. W. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.0405 · Cited by 3
Mangione, K. K., Posner, M. A., Craik, R. L., Wolff, E. F., Fortinsky, R. H., Beamer, B. A., Binder, E. F., Orwig, D., Magaziner, J. S., & Resnick, B. M. (2021) · Physical Therapy · doi:10.1093/ptj/pzab109 · Cited by 3
Ge, Y., Chao, T., Sun, J., Huan, N., Liu, W., Chen, Y., & Wang, C. (2023) · International Journal of Environmental Health Research · doi:10.1080/09603123.2022.2160866 · Cited by 3
“Our results are consistent with previous OPACH studies, (Lacroix et al. 2019) the Women’s Health Study, (Migueles et al. 2021) and the REGICOR study.”
ResultPerspectives Regarding Engagement in Physical Activity in Women
Sosa, M. V., Chin, E. D., & Sethares, K. A. (2023) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000001057 · Cited by 3
Li, T., Zong, G., Peng, P., Wang, S., & Cheng, B. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1304279 · Cited by 3
Lü, Y., Li, Q., Wang, W., Du, L., He, Q., Chen, S., Zhang, X., & Pan, Y. (2024) · BMC Public Health · doi:10.1186/s12889-024-19270-7 · Cited by 4
Morales-Lara, A. C., Garzon-Siatoya, W. T., Campos, B. A. F., & Adedinsewo, D. A. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100272 · Cited by 4
Yang, Q., Zhang, Y.-H., Wong, A. Y. L., Xu, H.-R., Bi, X., Ching, Y.-L., Du, S.-H., Wang, Y.-C., & Wang, X. (2024) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2024.03.121 · Cited by 2
Di, C., Wang, G., Wu, S., Evenson, K. R., LaMonte, M. J., & LaCroix, A. Z. (2024) · ICSA book series in statistics · doi:10.1007/978-3-031-50690-1_3 · Cited by 2
Lin, C., Li, C.-I., Liu, C.-S., Lin, C., Lin, Y.-C., Yang, S.-Y., & Lin, C. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05493-1 · Cited by 2
Prince, S. A., Chaput, J., Colley, R. C., Dempsey, P. C., Ekelund, U., Janssen, I., Lang, J. J., Stamatakis, E. A., Tarp, J., Tremblay, M. S., et al. (2026) · British Journal of Sports Medicine · doi:10.1136/bjsports-2025-111179 · Cited by 2
Resnick, B. M., Boltz, M. P., Galik, E. M., & Zhu, S. (2021) · Clinical Nursing Research · doi:10.1177/10547738211040628 · Cited by 2
Gomes, I. C., Tavares, V. D. D. O., Neto, L. D. O., Agrícola, P. M. D., Jenkins, M., Smith, L., & Duarte, Y. A. D. O. (2022) · Sport Sciences for Health · doi:10.1007/s11332-021-00891-z · Cited by 3
A Riemann manifold model framework for longitudinal changes in physical activity patterns
Zou, J., Lin, T., Di, C., Bellettiere, J., Jankowska, M. M., Hartman, S. J., Sears, D. D., LaCroix, A. Z., Rock, C. L., & Natarajan, L. (2023) · The Annals of Applied Statistics · doi:10.1214/23-aoas1758 · Cited by 2
“Physical inactivity and sedentary behavior are known risk factors for cardiovascular disease, cancer and all-cause mortality ( LaMonte et al. (2018); LaCroix et al. (2019); Chastin et al. (2019); Bellettiere et al. (2019a,b, 2020); Parada et al. (2020); Ramakrishnan et al. (2021); Glass et al.…”
BackgroundFranklin, P. D., Oatis, C. A., Zheng, H., Westby, M. D., Peter, W. F., Elk, J. L.-T., Rizk, J., Benbow, E., & Li, W. (2022) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/37714 · Cited by 2
Physical activity changes during an automated online weight loss program
Emerson, J. A., Schumacher, L. M., Bond, D. S., Thomas, J. G., & Lillis, J. (2023) · Journal of Behavioral Medicine · doi:10.1007/s10865-022-00383-6 · Cited by 2
“The removal of bouted MVPA and the shift towards recommending any intensity of PA, including reduced sedentary behavior (SB), reflects evolving evidence regarding associations between light intensity PA and cardiovascular health, inflammation, and insulin resistance (LaCroix et al. 2019).”
BackgroundWang, J., Smith, S. C., Dong, J., Chen, C., Miller, N. H., Chang, W.-H., Ma, Y., & Liu, H. (2024) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000861 · Cited by 2
“…older female patients in the United States using an accelerometer, found benefit from low-level exercise in reducing the incidence of CHD and CVD. 21 In a study of 6143 patients with CHD, the greatest benefit on improving health-related QoL was the change from sedentary inactive lifestyle to…”
BackgroundAndrabi, M. S., Key, B. A., Francisco, M., Jeremiah, M., Mumba, M. N., Radhakrishnan, K., & Ball, K. (2024) · Public Health Nursing · doi:10.1111/phn.13370 · Cited by 2
Dong, B., Chen, D., Zhao, Y., & Guo, X. (2024) · Health & Social Care in the Community · doi:10.1155/2024/9967988 · Cited by 2
The Intersection of Menopause, Lack of Physical Activity, and Cardiovascular Risk
Bernier, P., Vieira, M., & Revell, A. J. (2025) · Nursing for Women s Health · doi:10.1016/j.nwh.2024.08.007 · Cited by 2
VanWiel, L., Carr, L. J., Bond, D. S., Wu, Y., Tunitsky-Bitton, E., Tulikangas, P. K., Steinberg, A. C., & Whitaker, K. M. (2025) · Preventive Medicine · doi:10.1016/j.ypmed.2025.108277 · Cited by 3
Kaoje, Y. S., Mokete, L., Dafkin, C., Pietrzak, J. R. T., Sikhauli, K., Frimpong, E., & Meiring, R. M. (2024) · Disability and Rehabilitation · doi:10.1080/09638288.2024.2390670 · Cited by 1
“…cardiometabolic health through engagement in physical activity in people with Oa. taking regular breaks in prolonged sitting has been shown to benefit various markers of cardiovascular disease [60], and may be a target for prevention and management of comorbidities in people with Oa [61,62].”
Fan, T., Xie, Q., Chen, J., Zeng, M., Chen, S., Yang, H., Ruan, G., Yang, Q., Zhang, Y., Li, Y., et al. (2026) · Rheumatology · doi:10.1093/rheumatology/keag179 · Cited by 2
Typographical Error in Conclusions
(2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.4476 · Cited by 1
Lin, L.-L. (2024) · Healthcare · doi:10.3390/healthcare12121177 · Cited by 1
“In addition to dementia, there are various other risks, such as stroke [10], heart disease and hypertension [11], and depression [12], highlighting the importance of physical activity for older adults.”
BackgroundDuclos, M. (2021) · Gynécologie Obstétrique Fertilité & Sénologie · doi:10.1016/j.gofs.2021.03.013 · Cited by 4
Ong, L. Q., Bellettiere, J., Alvarado, C., Chavez, P., & Berardi, V. (2020) · doi:10.21203/rs.3.rs-38024/v1 · Cited by 1
Dempsey, P., Rowlands, A., Strain, T., Zaccardi, F., Dawkins, N., Razieh, C., Davies, M., Khunti, K., Edwardson, C., Wijndaele, K., et al. (2022) · medRxiv · doi:10.1101/2022.02.23.22271386 · Cited by 1
“Several cohort studies are now starting to report findings on the associations between device-based measures of PA with all-cause mortality (7-11), but few have examined associations with incident CVD (12-15).”
BackgroundFranklin, P. D., Oatis, C. A., Zheng, H., Westby, M. D., Peter, W. F., Elk, J. L.-T., Rizk, J., Benbow, E., & Li, W. (2022) · doi:10.2196/preprints.37714 · Cited by 1
Highlighting the latest research: May 2019
Palmer, S. J. (2019) · British Journal of Cardiac Nursing · doi:10.12968/bjca.2019.0033
Exercise in older adults with rheumatoid arthritis - a person-centred approach
Lange, E. (2019) · Gothenburg University Publications Electronic Archive (Gothenburg University)
浜田, 陽., 大鳥, 利., 筑後, 孝., 太田, 善., 鈴木, 庸., & 岡本, 耕. (1991) · 近畿大学医学雑誌
Abdelhafiz, A. H. (2022) · Wiley eBooks · doi:10.1002/9781119484288.ch30
Küchler, A., Ebert, D. D., & Baumeister, H. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_12
Implications and Health Benefits of Physical Activity in Adults
Katsagoni, C. N., Kokkinos, P. F., & Sidossis, L. S. (2023) · doi:10.1002/9781119833475.ch6
Kassim, A. A. M., Rosli, M. H., Mohamed, J., & Azim, Z. A. Z. (2023) · Journal of Business Management and Accounting · doi:10.32890/jbma2023.13.2.2
“Also, those who earned a low salary had a higher risk of disease and injury rather than high salary earners (Leigh & De Vogli, 2016).”
BackgroundBudiman, D., & Wibowo, R. (2022) · JURNAL PENDIDIKAN JASMANI DAN OLAHRAGA · doi:10.17509/jpjo.v7i2.45021
Ji, Y., ATAKAN, M. M., Yan, X., Wu, J., Kuang, J., & Peng, L. (2024) · Research Square · doi:10.21203/rs.3.rs-3866812/v1
Paice, K., Hersant, H., Anico, S., & Smith, E. (2024) · Women in Sport and Physical Activity Journal · doi:10.1123/wspaj.2023-0067
Lai, T., Hsueh, M., Liao, Y., & Park, J. (2025) · Chronobiology International · doi:10.1080/07420528.2025.2479097
“…to amplify the health benefits derived from physical activity, focusing on aspects like its intensity level (which ranges from light to vigorous) (LaCroix et al. 2019), type (including both leisure and non-leisure activities) (Ahmadi et al. 2023; Khurshid et al. 2023), and time of day (morning,…”
MacKay, C., Zidarov, D., Chan, B., Dilkas, S., Hitzig, S. L., Marinho-Buzelli, A. R., Mayo, A. L., Payne, M. W. C., Schneeberg, A., de Zepetnek, J. O. T., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0326761
“Recent evidence suggests that light, moderate and vigorous activity all have health benefits [73,74].”
Liao, Y., Deng, Y., Yu, C., Chen, X., Zhang, P., Wang, S., Zhou, M., Ling, W., Chen, X., & Xue, H. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101272
“This contrasts with the findings of Andrea et al., who suggested that a 1-hour/day increment in LPA counted for the prevention of CVD and CHD in older women [46].”
Yang, Y., Ku, E. J., Ko, S., Rhee, E.-J., Ihm, S., Choi, S. H., Lee, W., & Korean Society of Cardio-cerebrovascular Disease Prevention (2025) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2025.206
“Even a few minutes of activity, such as parking farther away from the store or walking up the stairs instead of using the elevator, contributes to overall benefits [69].”
Yang, Y., Ku, E. J., Ko, S., Rhee, E., Ihm, S., Choi, S. H., & Lee, W. (2025) · Cardiovascular Prevention and Pharmacotherapy · doi:10.36011/cpp.2025.7.e15
“Even a few minutes of activity, such as parking farther away from the store or walking up the stairs instead of using the elevator, contributes to overall benefits [73].”
Gabriel, K. P., Hornikel, B., Dooley, E. E., Chen, B., Badon, S. E., Bhatt, A. S., Carnethon, M. R., Jacobs, D. R., Khan, S. S., Lima, J. A. C., et al. (2025) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003895
Lu, Y., Li, Q., Wang, W., Du, L., He, Q., Chen, S., Zhang, X., & Pan, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26157037
Yerramalla, M. S., McGregor, D. E., van Hees, V. T., Fayossé, A., Dugravot, A., Tabák, Á. G., Chen, M., Chastin, S. F. M., & Sabia, S. (2021) · Figshare · doi:10.6084/m9.figshare.14955977
Yerramalla, M. S., McGregor, D. E., van Hees, V. T., Fayossé, A., Dugravot, A., Tabák, Á. G., Chen, M., Chastin, S. F. M., & Sabia, S. (2021) · Figshare · doi:10.6084/m9.figshare.14955980
Bakhtari-Aghdam, F., Aziz-Zadeh, S., Musavi, S., & Farhangi, M. A. (2022) · Figshare · doi:10.6084/m9.figshare.21303072
Yerramalla, M. S., McGregor, D. E., van Hees, V. T., Fayossé, A., Dugravot, A., Tabák, Á. G., Chen, M., Chastin, S. F. M., & Sabia, S. (2021) · Figshare · doi:10.6084/m9.figshare.14955983
Walker, R. L., Greenwood-Hickman, M. A., Bellettiere, J., LaCroix, A. Z., Wing, D., Higgins, M., Richmire, K., Larson, E. B., Crane, P. K., & Rosenberg, D. E. (2021) · Figshare · doi:10.6084/m9.figshare.14355469
Dooley, E. E., Winkles, J. F., Badon, S. E., Colvin, A. B., Derby, C. A., Karvonen-Gutierrez, C. A., Kline, C. E., Lange‐Maia, B. S., Swanson, L. M., Ylitalo, K. R., et al. (2026) · Journal of Aging and Physical Activity · doi:10.1123/japa.2025-0082
Nguyen, S., Crandall, C. J., Bellettiere, J., LaMonte, M. J., & LaCroix, A. Z. (2026) · Journal of Aging and Physical Activity · doi:10.1123/japa.2024-0233
Yanagisawa, Y., Kimura, Y., Ishigaki, T., Choji, Y., Shimizu, N., & TATSUNO, K. (2026) · European Journal of Physiotherapy · doi:10.1080/21679169.2026.2639608
Jia, H., Chen, Y., Dou, L., & Zeng, B. (2026) · Brain and Behavior · doi:10.1002/brb3.71316
“Our findings are in line with those of several prior studies (Jiang et al. 2024 ; Yang et al. 2020 ; Lacroix et al. 2019 ).”
Zhou, L., Cao, Z., Lv, Y., Yang, H., Li, D., Lin, J., Xu, C., & Wang, Y. (2026) · Health Data Science · doi:10.34133/hds.0470
“An analysis of the OPACH study has suggested that daily life movement (defined as standing and moving in a confined space such as performing housework or gardening) and LPA were inversely associated with CVD risk [ 16 , 40 ].”
InfluentialThangada, N. D., Lancki, N., Mooney, S. J., Kandula, N. R., & Siddique, J. (2026) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2026.108519
Zhang, X., Sun, X., Mao, X., Zhang, C., Zhang, J., Ren, J., Wang, T., Zhang, Z., Yin, B., Yang, W., et al. (2026) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2026.07.023
Zablocki, R., Nguyen, S., Wang, Y., Dillon, L. W., LaMonte, M. J., Richey, P. A., Casanova, R., Stefanick, M. L., Hartman, S. J., Di, C., et al. (2026) · doi:10.2196/preprints.115220
Metadata
- Authors
- LaCroix, A. Z., Bellettiere, J., Rillamas-Sun, E., Di, C., Evenson, K. R., Lewis, C. E., Buchner, D. M., Stefanick, M. L., Lee, I.-M., Rosenberg, D. E., LaMonte, M. J., & (WHI), F. T. W. H. I.
- Affiliations
- University of California San Diego (US)
- San Diego State University (US)
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Fred Hutch Cancer Center (US)
- University of North Carolina at Chapel Hill (US)
- University of Alabama at Birmingham (US)
- University of Illinois at Urbana-Champaign, Champaign
- Stanford Medicine (US)
- Brigham and Women's Hospital (US)
- Kaiser Permanente Washington Health Research Institute (US)
- University at Buffalo, State University of New York (US)
- Corresponding author
- LaCroix, Andrea Z.
- ORCID
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2019-03-15
- Volume
- 2
- Issue
- 3
- Pages
- e190419
- ISSN
- 2574-3805 (ISSN-L)
- PMC
- PMC6484645
- OpenAlex
- W2921167015
- Cited by
- 162
- References
- 43
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 22 · 2023: 15 · 2022: 27 · 2021: 30 · 2020: 28 · 2019: 11
- FWCI
- 16.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion, cc-by)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- U.S. Department of Health and Human Services
- Women's Health Initiative
- National Institutes of Health
- National Heart, Lung, and Blood Institute (HHSN268201600018C, HHSN268201600004C, HHSN268201600001C, HHSN268201600003C, HHSN268201600002C, R01HL130483, T32HL079891)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK079626)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Keywords
- light physical activity, accelerometry, coronary artery disease, cardiovascular disease, older women, moderate-to-vigorous physical activity, heart disease risk, Women's Health Initiative, community-dwelling women, physical activity measurement
- MeSH terms
- Aged, Cardiovascular Diseases, Coronary Disease, Female, Humans, Prospective Studies, Risk Factors, United States, Cohort Studies, Exercise, Proportional Hazards Models, Risk Reduction Behavior, Independent Living, 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