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
RE: “TOTAL ENERGY INTAKE: IMPLICATIONS FOR EPIDEMIOLOGIC ANALYSES”
Palmgren, J., & Kushi, L. H. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115841 · Cited by 2,712
Design of the Women’s Health Initiative Clinical Trial and Observational Study
The Women’s Health Initiative Study Group (1998) · Controlled Clinical Trials · doi:10.1016/s0197-2456(97)00078-0 · Cited by 2,580
Dose‐response analyses using restricted cubic spline functions in public health research
Desquilbet, L., & Mariotti, F. (2010) · Statistics in Medicine · doi:10.1002/sim.3841 · Cited by 2,016
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
Lear, S. A., Hu, W., Rangarajan, S., Gasevic, D., Leong, D., Iqbal, R., Casanova, A., Swaminathan, S., Anjana, R. M., Kumar, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31634-3 · Cited by 1,331
Higgins (2002) · doi:10.1002/(issn)1097-0258 · Cited by 1,248
Acute Myocardial Infarction in Women: A Scientific Statement From the American Heart Association
Mehta, L. S., Beckie, T. M., DeVon, H. A., Grines, C. L., Krumholz, H. M., Johnson, M. N., Lindley, K. J., Vaccarino, V., Wang, T. Y., Watson, K. E., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000351 · Cited by 1,244
Dose Response Between Physical Activity and Risk of Coronary Heart Disease: A Meta-Analysis
Sattelmair, J., Pertman, J., Ding, E. L., Kohl, H. W., Haskell, W., & Lee, I.-M. (2011) · Circulation · doi:10.1161/circulationaha.110.010710 · Cited by 1,052
Guenther, P. M., Kirkpatrick, S. I., Reedy, J., Krebs‐Smith, S. M., Buckman, D. W., Dodd, K. W., Casavale, K. O., & Carroll, R. J. (2014) · Journal of Nutrition · doi:10.3945/jn.113.183079 · Cited by 824
Implementation of the women's health initiative study design
Anderson, G. L., Manson, J. E., Wallace, R. B., Lund, B., Hall, D., Davis, S., Shumaker, S. A., Wang, C., Stein, E. A., & Prentice, R. L. (2003) · Annals of Epidemiology · doi:10.1016/s1047-2797(03)00043-7 · Cited by 757
Outcomes ascertainment and adjudication methods in the women's health initiative
Curb, J. D., McTiernan, A., Heckbert, S. R., Kooperberg, C. L., Stanford, J. L., Nevitt, M. C., Johnson, K., Proulx-Burns, L., Pastore, L. M., Criqui, M. H., et al. (2003) · Annals of Epidemiology · doi:10.1016/s1047-2797(03)00048-6 · Cited by 700
Wilmot, K. A., O’Flaherty, M., Capewell, S., Ford, E. S., & Vaccarino, V. (2015) · Circulation · doi:10.1161/circulationaha.115.015293 · Cited by 522
Matthews, C. E., Keadle, S. K., Troiano, R. P., Kahle, L., Koster, A., Brychta, R. J., Domelen, D. R. V., Caserotti, P., Chen, K. Y., Harris, T. B., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.135129 · Cited by 318
Heckbert, S. R., Kooperberg, C. L., Safford, M. M., Psaty, B. M., Hsia, J. A., McTiernan, A., Gaziano, J. M., Frishman, W. H., & Curb, J. D. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh314 · Cited by 268
Cook, N. R., Paynter, N. P., Eaton, C. B., Manson, J. E., Martin, L. W., Robinson, J. G., Rossouw, J. E., Wassertheil-Smoller, S. W., & Ridker, P. M. (2012) · Circulation · doi:10.1161/circulationaha.111.075929 · Cited by 266
Comparative Validity of Physical Activity Measures in Older Adults
Colbert, L. H., Matthews, C. E., Havighurst, T. C., Kim, K., & Schoeller, D. A. (2010) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181fc7162 · Cited by 232
High Basal Metabolic Rate Is a Risk Factor for Mortality: The Baltimore Longitudinal Study of Aging
Ruggiero, C., Metter, E. J., Melenovský, V., Cherubini, A., Najjar, S. S., Blè, A., Senin, U., Longo, D. L., & Ferrucci, L. (2008) · The Journals of Gerontology Series A · doi:10.1093/gerona/63.7.698 · Cited by 168
van Enckevort, P. J., Koopmanschap, M. A., TenVergert, E. M., Geertsma, A., van der Bij, W., de Boer, W. J., & Rutten, F. (2006) · Health Economics · doi:10.1002/(issn)1099-1050 · Cited by 160
Evenson, K. R., Wen, F., & Herring, A. H. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kww070 · Cited by 158
Test-Retest Reliability of the Women's Health Initiative Physical Activity Questionnaire
Meyer, A., Evenson, K. R., Morimoto, L. M., Siscovick, D. S., & White, E. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31818ace55 · Cited by 148
Lee, I.-M., Shiroma, E. J., Evenson, K. R., Kamada, M., LaCroix, A. Z., & Buring, J. E. (2018) · Circulation · doi:10.1161/circulationaha.117.031300 · Cited by 138
Self-citationEvenson, K. R., Wen, F., Herring, A. H., Di, C., LaMonte, M. J., Tinker, L. F., Lee, I.-M. M., Rillamas‐Sun, E., LaCroix, A. Z., & Büchner, D. M. (2015) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2015.08.021 · Cited by 137
The Objective Physical Activity and Cardiovascular Disease Health in Older Women (OPACH) Study
LaCroix, A. Z., Rillamas‐Sun, E., Büchner, D. M., Evenson, K. R., Di, C., Lee, I.-M. M., Marshall, S. W., LaMonte, M. J., Hunt, J. R., Tinker, L. F., et al. (2017) · BMC Public Health · doi:10.1186/s12889-017-4065-6 · Cited by 113
VanSwearingen, J. M., & Studenski, S. A. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu153 · Cited by 104
LaMonte, M. J., Lewis, C. E., Buchner, D. M., Evenson, K. R., Rillamas‐Sun, E., Di, C., Lee, I., Bellettiere, J., Stefanick, M. L., Eaton, C. B., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.007064 · Cited by 97
Accelerometer‐Measured Physical Activity and Mortality in Women Aged 63 to 99
LaMonte, M. J., Buchner, D. M., Rillamas‐Sun, E., Di, C., Evenson, K. R., Bellettiere, J., Lewis, C. E., Lee, I., Tinker, L. F., Seguin, R., et al. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15201 · Cited by 94
Self-citationJefferis, B. J., Parsons, T. J., Sartini, C., Ash, S., Lennon, L. T., Papacosta, O., Morris, R. W., Wannamethee, S. G., Lee, I.-M., & Whincup, P. H. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.12.024 · Cited by 65
Parsons, T. J., Sartini, C., Ellins, E. A., Halcox, J., Smith, K. E., Ash, S., LENNON, L. T., Wannamethee, S. G., Lee, I.-M. M., Whincup, P. H., et al. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.05.031 · Cited by 61
Activity-Related Energy Expenditure in Older Adults: A Call for More Research
HALL, K. S., MOREY, M. C., DUTTA, C., MANINI, T. M., WELTMAN, A. L., NELSON, M. E., MORGAN, A. L., SENIOR, J. G., SEYFFARTH, C., & BUCHNER, D. M. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000356 · Cited by 48
LaMonte, M. J., Lee, I.-M. M., Rillamas‐Sun, E., Bellettiere, J., Evenson, K. R., Büchner, D. M., Di, C., Lewis, C. E., Rosenberg, D. E., Stefanick, M. L., et al. (2019) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2018-0057 · Cited by 28
Intensity of Physical Activity in the Energy Expenditure of Older Adults
Colbert, L. H., Matthews, C. E., Schoeller, D. A., Havighurst, T. C., & Kim, K. (2014) · Journal of Aging and Physical Activity · doi:10.1123/japa.2012-0257 · Cited by 23
Expending our physical activity (measurement) budget wisely
Colbert, L. H., & Schoeller, D. A. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00089.2011 · Cited by 19
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
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000950 · Cited by 5,784
Martin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
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