Mid-adulthood cardiometabolic risk factor profiles of sarcopenic obesity
Open accessAbstract
Objective: Midlife and contemporaneous cardiometabolic risk factors associated with sarcopenic obesity were examined. Methods: Utilizing BMI and sex‐specific 24‐h urinary creatinine excretion, 1,019 participants from the Framingham cohorts were categorized as non‐sarcopenia non‐obese (NSNO), non‐obese sarcopenia, non‐sarcopenic obesity, and sarcopenic obesity. Cardiometabolic risk factors were quantified by standard laboratory assessment cross‐sectionally and 10, 20, and 30 years before sarcopenic obesity assessment. Results: NSNO, sarcopenia, obesity, and sarcopenic obesity accounted for 30.0%, 39.6%, 20.0%, and 10.4% of study participants, respectively. Cross‐sectionally, participants with sarcopenic obesity had a higher proportion of hypertension, metabolic syndrome, and type 2 diabetes than those with NSNO or sarcopenia (all P < 0.03). Similar patterns were observed retrospectively at 10, 20, and 30 years. Compared with NSNO or sarcopenia, sarcopenic obesity was associated with a higher prevalence of type 2 diabetes at 10 years and hypertension and metabolic syndrome at all three time points before baseline (all P < 0.03). Individuals with sarcopenic obesity had more type 2 diabetes than those with obesity alone at baseline and 10 years prior (all P < 0.001). Conclusions: Older adults with sarcopenic obesity had more adverse midlife cardiometabolic risks, particularly diabetes 10 years earlier, which suggests the importance of early identification of risk factors associated with sarcopenic obesity.
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?
Compared to obesity alone, sarcopenic obesity is associated with a heightened risk of adverse health outcomes, such as disability or impairment, cardiometabolic diseases, other comorbidities, and mortality.
“Compared to obesity alone, sarcopenic obesity is associated with a heightened risk of adverse health outcomes, such as disability or impairment, cardiometabolic diseases, other comorbidities, and mortality [4,5,6,7].”
From Sarcopenic obesity, insulin resistance, and their implications in cardiovascular and metabolic consequences (2020) · cites this paper as [5]
Sarcopenic obesity appears to be a more severe condition than obesity alone, as it is associated with higher risk of cardiovascular disease, reduced bone mineral density, and all-cause mortality.
“Sarcopenic obesity appears to be a more severe condition than obesity alone, as it is associated with a higher risk of several disorders such as cardiovascular disease, reduced bone mineral density, and all-cause mortality (16–18).”
From Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management (2023) · cites this paper as [16]
Sarcopenic obesity is associated with frailty, fractures, cardiovascular disease, cancer, dementia, increased hospitalization, and increased all-cause mortality.
“This condition is currently a major concern as it is associated with frailty and disabilities such as cardiovascular disease, fractures, dementia, cancer, and increased all-cause mortality.”
From Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management (2023) · cites this paper as [16]
Sarcopenic obesity significantly increases risk of cardiovascular risk factors including insulin resistance, metabolic syndrome, and adverse glycolipid metabolism, even in context of divergent comorbidities such as cancer and peritoneal dialysis.
“Sarcopenic obesity significantly increases the risk of cardiovascular risk factors including insulin resistance (IR), metabolic syndrome, and adverse glycolipid metabolism (16, 42–44), even in the context of divergent comorbidities such as cancer and peritoneal dialysis (45, 46).”
From Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management (2023) · cites this paper as [16]
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
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423 · see citing works
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603 · see citing works
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961 · see citing works
Prevalence of Childhood and Adult Obesity in the United States, 2011-2012
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014) · JAMA · doi:10.1001/jama.2014.732 · Cited by 8,072 · see citing works
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354 · see citing works
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737 · see citing works
Fielding, R. A., Vellas, B., Evans, W. J., Bhasin, S., Morley, J. E., Newman, A. B., Abellan van Kan, G., Andrieu, S., Bauer, J., Breuille, D., et al. (2011) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2011.01.003 · Cited by 3,256 · cited 6× · see citing works
“From midlife to old age, muscle mass may decline up to 30%, which may lead to reduced physical function and increased mortality (2-4).”
BackgroundMethodInfluentialSarcopenia: origins and clinical relevance
Rosenberg, I. H. (1997) · The Journal of Nutrition · doi:10.1093/jn/127.5.990s · Cited by 2,399 · see citing works
The epidemiology of heart failure: The Framingham Study
Ho, K. K. L., Pinsky, J. L., Kannel, W. B., & Levy, D. A. (1993) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(93)90455-a · Cited by 2,230 · see citing works
Epidemiological approaches to heart disease: the Framingham study
Dawber, T. R., Meadors, G. F., & Moore, F. E. (1951) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.41.3.279 · Cited by 2,148 · see citing works
Rimm, E. B., Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116211 · Cited by 2,104 · see citing works
Skeletal Muscle Insulin Resistance Is the Primary Defect in Type 2 Diabetes
DeFronzo, R. A., & Tripathy, D. (2009) · Diabetes Care · doi:10.2337/dc09-s302 · Cited by 2,102 · see citing works
Kirkman, M. S., Briscoe, V. J., Clark, N., Florez, H., Haas, L. B., Halter, J. B., Huang, E. S., Korytkowski, M. T., Munshi, M. N., Odegard, P. S., et al. (2012) · Diabetes Care · doi:10.2337/dc12-1801 · Cited by 1,274 · see citing works
Mechanisms of Muscle Wasting — The Role of the Ubiquitin–Proteasome Pathway
Mitch, W. E., & Goldberg, A. L. (1996) · New England Journal of Medicine · doi:10.1056/nejm199612193352507 · Cited by 1,163 · see citing works
Age-related and disease-related muscle loss: The effect of diabetes, obesity, and other diseases
Kalyani, R. R., Corriere, M., & Ferrucci, L. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70034-8 · Cited by 1,102 · see citing works
Measurement of muscle mass in humans: validity of the 24-hour urinary creatinine method.
Heymsfield, S., Arteaga, C., McManus, C., Smith, J., & Moffitt, S. (1983) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/37.3.478 · Cited by 902 · see citing works
Excessive Loss of Skeletal Muscle Mass in Older Adults With Type 2 Diabetes
Park, S. W., Goodpaster, B. H., Lee, J. S., Kuller, L. H., Boudreau, R., de Rekeneire, N., Harris, T. B., Kritchevsky, S., Tylavsky, F. A., Nevitt, M., et al. (2009) · Diabetes Care · doi:10.2337/dc09-0264 · Cited by 778 · see citing works
Accelerated Loss of Skeletal Muscle Strength in Older Adults With Type 2 Diabetes
Park, S. W., Goodpaster, B. H., Strotmeyer, E. S., Kuller, L. H., Broudeau, R., Kammerer, C., de Rekeneire, N., Harris, T. B., Schwartz, A. V., Tylavsky, F. A., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2537 · Cited by 766 · see citing works
Understanding sarcopenia as a geriatric syndrome
Cruz-Jentoft, A. J., Landi, F., Topinková, E., & Michel, J.-P. (2010) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/mco.0b013e328333c1c1 · Cited by 602 · see citing works
Wang, X., Hu, Z., Hu, J., Du, J., & Mitch, W. E. (2006) · Endocrinology · doi:10.1210/en.2006-0251 · Cited by 600 · see citing works
Lim, S., Kim, J. H., Yoon, J. W., Kang, S. M., Choi, S. H., Park, Y. J., Kim, K. W., Lim, J. Y., Park, K. S., & Jang, H. C. (2010) · Diabetes Care · doi:10.2337/dc10-0107 · Cited by 588 · see citing works
Mitochondrial dysfunction and the inflammatory response
López-Armada, M. J., Riveiro-Naveira, R. R., Vaamonde‐García, C., & Valcarcel‐Ares, M. N. (2013) · Mitochondrion · doi:10.1016/j.mito.2013.01.003 · Cited by 527 · see citing works
Atkins, J. L., Whincup, P. H., Morris, R. W., Lennon, L. T., Papacosta, O., & Wannamethee, S. G. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12652 · Cited by 509 · see citing works
Aging, body composition, and lifestyle: the Fels Longitudinal Study
Guo, S. S., Zeller, C., Chumlea, W. C., & Siervogel, R. M. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/70.3.405 · Cited by 408 · see citing works
An evidence-based comparison of operational criteria for the presence of sarcopenia
Dam, T.-T., Peters, K. W., Fragala, M., Cawthon, P. M., Harris, T. B., McLean, R., Shardell, M., Alley, D. E., Kenny, A., Ferrucci, L., et al. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu013 · Cited by 363 · see citing works
Self-citationBatsis, J. A., Barre, L. K., Mackenzie, T. A., Pratt, S. I., Lopez‐Jimenez, F., & Bartels, S. J. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12260 · Cited by 330 · see citing works
Sarcopenic-obesity and cardiovascular disease risk in the elderly
Stephen, W. C., & Janssen, I. (2009) · The Journal of nutrition, health and aging · doi:10.1007/s12603-009-0084-z · Cited by 301 · see citing works
Preis, S. R., Pencina, M. J., Hwang, S., D’Agostino, R. B., Savage, P. J., Levy, D. A., & Fox, C. S. (2009) · Circulation · doi:10.1161/circulationaha.108.846519 · Cited by 289 · see citing works
Self-citationHyperglycemia Predicts Persistently Lower Muscle Strength With Aging
Kalyani, R. R., Metter, E. J., Egan, J., Golden, S. H., & Ferrucci, L. (2015) · Diabetes Care · doi:10.2337/dc14-1166 · Cited by 236 · see citing works
Kannel, W. B., Belanger, A. J., D’Agostino, R. B., & Israel, I. (1986) · American Heart Journal · doi:10.1016/0002-8703(86)90480-1 · Cited by 206 · see citing works
Sarcopenic obesity is closely associated with metabolic syndrome
Lu, C.-W., Yang, K.-C., Chang, H.-H., Lee, L.-T., Chen, C.-Y., & Huang, K.-C. (2013) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2012.02.003 · Cited by 198 · see citing works
Lee, C. G., Boyko, E. J., Strotmeyer, E. S., Lewis, C. E., Cawthon, P. M., Hoffman, A. R., Everson‐Rose, S. A., Barrett-Connor, E. L., & ORWOLL, E. S. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2011.03472.x · Cited by 178 · see citing works
Sarcopenic obesity in aging population: current status and future directions for research
Kohara, K. (2014) · Endocrine · doi:10.1007/s12020-013-9992-0 · Cited by 171 · see citing works
Effect of Sarcopenia on Cardiovascular Disease Risk Factors in Obese Postmenopausal Women
Aubertin‐Leheudre, M., Lord, C., Goulet, É. D. B., Khalil, A., & Dionne, I. J. (2006) · Obesity · doi:10.1038/oby.2006.267 · Cited by 151 · see citing works
The role of muscle mass and body fat on disability among older adults: A cross-national analysis
Tyrovolas, S., Koyanagi, A., Olaya, B., Ayuso‐Mateos, J. L., Miret, M., Chatterji, S., Tobiasz‐Adamczyk, B., Koskinen, S. V. P., Leonardi, M., & Haro, J. M. (2015) · Experimental Gerontology · doi:10.1016/j.exger.2015.06.002 · Cited by 77 · see citing works
Dallmeier, D., Larson, M. G., Wang, N., Fontes, J. D., Benjamin, E. J., & Fox, C. S. (2012) · Journal of the American Heart Association · doi:10.1161/jaha.112.000869 · Cited by 45 · see citing works
Self-citationA Good Reason to Measure 24-Hour Urine Creatinine Excretion, but Not to Assess Kidney Function
Kalantari, K., & Bolton, W. K. (2013) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.09770913 · Cited by 37 · see citing works
Akt, AS160, metabolic risk factors and aerobic fitness in middle-aged women
Levinger, I., Hare, D. L., Peake, J. M., GARNHAM, A. P., Hare, D. L., Jerums, G., Selig, S., & Goodman, C. A. (2026) · PubMed · doi:10.22029/eir.2010.1654 · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Batsis JA, Barre LK, Mackenzie TA, Pratt SI, Lopez-Jimenez F, Bartels SJ. Variation in the prevalence of sarcopenia and sarcopenic obesity in older adults associated with different research definitions: dual-energy X-ray absorptiometry data from the National Health and Nutrition Examination Survey 1999-2004. J Am Geriatr Soc 2013;61:974-980.
Cited by
Sorted by citations
Hong, S.-H., & Choi, K. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21020494 · Cited by 390 · see citing works
Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management
Wei, S., Nguyen, T. T., Zhang, Y., Ryu, D., & Gariani, K. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1185221 · Cited by 291 · see citing works
Liu, C., Wong, P. Y., Chung, Y. L., Chow, S. K., Cheung, W. H., Law, S. W., Chan, J. C. N., & Wong, R. M. Y. (2023) · Obesity Reviews · doi:10.1111/obr.13534 · Cited by 247 · see citing works
Polyzos, S. A., & Margioris, A. N. (2018) · Hormones · doi:10.1007/s42000-018-0049-x · Cited by 212 · see citing works
Khadra, D., Itani, L., Tannir, H., Kreidieh, D., Masri, D. E., & Ghoch, M. E. (2019) · World Journal of Diabetes · doi:10.4239/wjd.v10.i5.311 · Cited by 130 · see citing works
Rossi, A. P., Rubele, S., Calugi, S., Caliari, C., Pedelini, F., Soave, F., Chignola, E., Vittoria Bazzani, P., Mazzali, G., Dalle Grave, R., et al. (2019) · Obesity · doi:10.1002/oby.22493 · Cited by 90 · see citing works
- Authors
- Ma, J., Hwang, S., McMahon, G. M., Curhan, G. C., Mclean, R. R., Murabito, J. M., & Fox, C. S.
- Affiliations
- Framingham Heart Study (US)
- Brigham and Women's Hospital (US)
- Beth Israel Deaconess Medical Center (US)
- Boston University (US)
- Corresponding author
- Fox, Caroline S.
- ORCID
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2016-01-27
- Volume
- 24
- Issue
- 2
- Pages
- 526-534
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2297738515
- Cited by
- 68
- References
- 38
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 13 · 2023: 6 · 2022: 6 · 2021: 2 · 2020: 5 · 2019: 6 · 2018: 6 · 2017: 3 · 2016: 1
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Obesity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- School of Medicine, Boston University (N01-HC25195)
- National Institutes of Health (n01hc25195-41-0-1)
- National Heart, Lung, and Blood Institute (HC25195, N01‐HC25195, N01-HC)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Keywords
- sarcopenic obesity, cardiometabolic risk factors, midlife, type 2 diabetes, hypertension, metabolic syndrome, sarcopenia, older adults, Framingham cohort, urinary creatinine
- MeSH terms
- Aged, Creatinine, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Humans, Hypertension, Male, Middle Aged, Obesity, Retrospective Studies, Risk Factors, Body Mass Index, Prevalence, Risk Assessment, Metabolic Syndrome, Sarcopenia
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