The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Handgrip Strength and Cognitive Decline in Older Mexican Americans
Open accessAbstract
BACKGROUND: Cognitive decline and dementia are associated with disability and premature death in old age. We examined whether low handgrip strength predicts subsequent cognitive decline in older Mexican Americans. METHODS: We worked with a 7-year prospective cohort of 2160 noninstitutionalized Mexican Americans aged 65 years or older from the Hispanic Established Population for the Epidemiological Study of the Elderly (H-EPESE) who had a Mini-Mental State Examination (MMSE) score > or = 21 at baseline. Measures included: (i) sociodemographic factors (age, gender, and education), handgrip strength, and near and distant visual impairment from baseline interview; and (ii) MMSE, body mass index (BMI), and medical conditions (stroke, heart attack, diabetes, depression, and hypertension) from four waves of data collection. RESULTS: Using general linear mixed models, we found a significant trend with scores in the lowest quartile of handgrip strength at baseline to be associated with lower MMSE scores over time (estimate = -1.28, standard error = 0.16; p <.0001). There was a significant handgrip Strength-by-Time interaction with MMSE scores. Participants in the lowest handgrip strength quartile had a greater cognitive decline over time (estimate = -0.26, standard error = 0.07; p <.001) than did those participants in the highest quartile. This association remained statistically significant after controlling for potential confounding factors. CONCLUSION: Older Mexican Americans with reduced handgrip strength at baseline demonstrated a statistically significant decline in cognitive function over a 7-year period. By contrast, participants in the highest handgrip strength quartile maintained a higher level of cognitive function.
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.
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
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
The processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,902 · cited 1×
“Salthouse (44) demonstrated that slow reaction time was associated with poor cognitive function.”
BackgroundPhysical Activity, Including Walking, and Cognitive Function in Older Women
Weuve, J. (2004) · JAMA · doi:10.1001/jama.292.12.1454 · Cited by 1,175
Predictors of skeletal muscle mass in elderly men and women
Baumgartner, R. N., Waters, D. L., Gallagher, D., Morley, J. E., & Garry, P. J. (1999) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(98)00130-4 · Cited by 809
Interleukin-6 and risk of cognitive decline: MacArthur Studies of Successful Aging
Weaver, J. D., Huang, M.-H., Albert, M., Harris, T., Rowe, J. W., & Seeman, T. E. (2002) · Neurology · doi:10.1212/wnl.59.3.371 · Cited by 536
Cited by
Fragala, M. S., Cadore, E. L., Dorgo, S., Izquierdo, M., Kraemer, W. J., Peterson, M. D., & Ryan, E. D. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003230 · Cited by 1,290
Taekema, D. G., Gussekloo, J., Maier, A. B., Westendorp, R. G. J., & de Craen, A. J. M. (2010) · Age and Ageing · doi:10.1093/ageing/afq022 · Cited by 625
Hand grip strength as a proposed new vital sign of health: a narrative review of evidences
Vaishya, R., Misra, A., Vaish, A., Ursino, N., & D’Ambrosi, R. (2024) · Journal of Health, Population and Nutrition · doi:10.1186/s41043-024-00500-y · Cited by 385
Rijk, J. M., Roos, P. R., Deckx, L., van den Akker, M., & Buntinx, F. (2016) · Geriatrics & Gerontology International · doi:10.1111/ggi.12508 · Cited by 376
Herold, F., Törpel, A., Schega, L., & Müller, N. G. (2019) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0217-2 · Cited by 349
Sarcopenic obesity and cognitive performance
Tolea, M., Chrisphonte, S., & Galvin, J. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s164113 · Cited by 90
Shaughnessy, K. A., Hackney, K. J., Clark, B. C., Kraemer, W. J., Terbizan, D. J., Bailey, R. R., & McGrath, R. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-190856 · Cited by 90
Role of dietary protein and muscular fitness on longevity and aging
Strasser, B., Volaklis, K., Fuchs, D., & Burtscher, M. (2018) · Aging and Disease · doi:10.14336/ad.2017.0202 · Cited by 78
Gray, W. K., Paddick, S. M., Collingwood, C., Kisoli, A., Mbowe, G., Mkenda, S., Lissu, C., Rogathi, J., Kissima, J., Walker, R. W., et al. (2016) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4415 · Cited by 31
Metadata
- Authors
- Alfaro-Acha, A., Snih, S. A., Raji, M. A., Kuo, Y.-F., Markides, K. S., & Ottenbacher, K. J.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-01
- Volume
- 61
- Issue
- 8
- Pages
- 859-865
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2135822995
- Cited by
- 288
- References
- 6
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
