The Association Between Cardiometabolic Risk Factors and Frailty in Older Adults: A Systematic Review
- PMID: 35795135
- PMCID: PMC9250659
- DOI: 10.1093/geroni/igac032
The Association Between Cardiometabolic Risk Factors and Frailty in Older Adults: A Systematic Review
Abstract
Background and objectives: Enhanced management and prevention of frailty depend on our understanding of the association between potentially modifiable risk factors and frailty. However, the associations between potentially modifiable cardiometabolic risk factors and frailty are not clear. The purpose of this review was to appraise and synthesize the current evidence examining the associations between the cardiometabolic risk factors and frailty.
Research design and methods: Multiple databases, including MEDLINE (via PubMed), Embase (via Elsevier), and Web of Science (via Clarivate), were searched extensively. Studies that examined cardiometabolic risk factors and frailty as main predictors and outcome of interest, respectively, among older adults (≥60 years) were included. The Joanna Briggs Institute critical appraisal tools were used to evaluate the quality of studies. PRISMA (2020) guided this review, and findings were synthesized without meta-analysis. This systematic review was registered in PROSPERO (CRD42021252565).
Results: Twelve studies met the eligibility criteria and were included in the review. Abdominal obesity, hyperglycemia, and multiple co-occurring cardiometabolic risk factors were associated with the increased likelihood of frailty in older adults. There was inconsistency across the studies regarding the associations between dyslipidemia, elevated blood pressure, and frailty.
Discussion and implications: Understanding the association between cardiometabolic risk factors and frailty can have translational benefits in developing tailored interventions for the prevention and management of frailty. More studies are needed to validate predictive and clinically significant associations between single and specific combinations of co-occurring cardiometabolic risk factors and frailty.
Keywords: Cardiometabolic risk factors; Frailty; Inflammation; Older adults.
© The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America.
Figures
References
-
- Aguayo, G. A., Hulman, A., Vaillant, M. T., Donneau, A. F., Schritz, A., Stranges, S., Malisoux, L., Huiart, L., Guillaume, M., Sabia, S., & Witte, D. R. (2019). Prospective association among diabetes diagnosis, HbA1c, glycemia, and frailty trajectories in an elderly population. Diabetes Care, 42(10), 1903–1911. doi: 10.2337/dc19-0497 - DOI - PubMed
-
- Alberti, K. G., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J. C., James, W. P., Loria, C. M., & Smith, S. C. (2009). Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 120(16), 1640–1645. doi: 10.1161/circulationaha.109.192644 - DOI - PubMed
-
- Amdur, R. L., Feldman, H. I., Gupta, J., Yang, W., Kanetsky, P., Shlipak, M., Rahman, M., Lash, J. P., Townsend, R. R., Ojo, A., Roy-Chaudhury, A., Go, A. S., Joffe, M., He, J., Balakrishnan, V. S., Kimmel, P. L., Kusek, J. W., & Raj, D. S. (2016). Inflammation and progression of CKD: The CRIC Study. Clinical Journal of the American Society of Nephrology, 11(9), 1546–1556. doi: 10.2215/cjn.13121215 - DOI - PMC - PubMed
-
- Amiri, S., Behnezhad, S., & Hasani, J. (2020). Body mass index and risk of frailty in older adults: A systematic review and meta-analysis. Obesity Medicine, 18, 100196. doi: 10.1016/j.obmed.2020.100196 - DOI
-
- Anker, D., Carmeli, C., Zwahlen, M., Rodondi, N., Santschi, V., Henchoz, Y., Wolfson, C., & Chiolero, A. (2021). How blood pressure predicts frailty transitions in older adults in a population-based cohort study: A multi-state transition model. International Journal of Epidemiology, dyab210. doi: 10.1093/ije/dyab210 - DOI - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Miscellaneous