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Association of Weight Status With Mortality in Adults With Incident Diabetes
Open accessAbstract
CONTEXT: Type 2 diabetes in normal-weight adults (body mass index [BMI] <25) is a representation of the metabolically obese normal-weight phenotype with unknown mortality consequences. OBJECTIVE: To test the association of weight status with mortality in adults with new-onset diabetes in order to minimize the influence of diabetes duration and voluntary weight loss on mortality. DESIGN, SETTING, AND PARTICIPANTS: Pooled analysis of 5 longitudinal cohort studies: Atherosclerosis Risk in Communities study, 1990-2006; Cardiovascular Health Study, 1992-2008; Coronary Artery Risk Development in Young Adults, 1987-2011; Framingham Offspring Study, 1979-2007; and Multi-Ethnic Study of Atherosclerosis, 2002-2011. A total of 2625 participants with incident diabetes contributed 27,125 person-years of follow-up. Included were men and women (age >40 years) who developed incident diabetes based on fasting glucose 126 mg/dL or greater or newly initiated diabetes medication and who had concurrent measurements of BMI. Participants were classified as normal weight if their BMI was 18.5 to 24.99 or overweight/obese if BMI was 25 or greater. MAIN OUTCOME MEASURES: Total, cardiovascular, and noncardiovascular mortality. RESULTS: The proportion of adults who were normal weight at the time of incident diabetes ranged from 9% to 21% (overall 12%). During follow-up, 449 participants died: 178 from cardiovascular causes and 253 from noncardiovascular causes (18 were not classified). The rates of total, cardiovascular, and noncardiovascular mortality were higher in normal-weight participants (284.8, 99.8, and 198.1 per 10,000 person-years, respectively) than in overweight/obese participants (152.1, 67.8, and 87.9 per 10,000 person-years, respectively). After adjustment for demographic characteristics and blood pressure, lipid levels, waist circumference, and smoking status, hazard ratios comparing normal-weight participants with overweight/obese participants for total, cardiovascular, and noncardiovascular mortality were 2.08 (95% CI, 1.52-2.85), 1.52 (95% CI, 0.89-2.58), and 2.32 (95% CI, 1.55-3.48), respectively. CONCLUSION: Adults who were normal weight at the time of incident diabetes had higher mortality than adults who are overweight or obese.
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“the case is strong that such a paradoxical relation exists in the elderly, 7 and accompanying a broad range of illnesses, including diabetes mellitus, 8 chronic heart failure, 9,10 acute heart failure, 11 coronary artery disease, 12 and percutaneous coronary artery interventions.13”
From Obesity Paradox in Hypertension: Is This Because Sympathetic Activation in Obesity-Hypertension Takes a Benign Form? (2018) · cites this paper as [8]
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Cites
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Applied Regression Analysis and Other Multivariable Methods
Walker, E., Kleinbaum, D. G., Kupper, L. L., & Muller, K. E. (1989) · Technometrics · doi:10.2307/1270375 · Cited by 8,538
Multi-Ethnic Study of Atherosclerosis: Objectives and Design
Bild, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf113 · Cited by 3,942
The Cardiovascular Health Study: design and rationale.
Fried, L. P., Borhani, N. O., Enright, P., Furberg, C. D., Gardin, J. M., Kronmal, R. A., Kuller, L. H., Manolio, T. A., Mittelmark, M. B., Newman, A., et al. (1991) · Annals of Epidemiology · doi:10.1016/1047-2797(91)90005-w · Cited by 3,652
(1989) · PubMed · Cited by 3,139
Standards of Medical Care in Diabetes—2012
(2012) · Diabetes Care · doi:10.2337/dc12-s011 · Cited by 2,240
Cardia: study design, recruitment, and some characteristics of the examined subjects
FRIEDMAN, G. D., Cutter, G., Donahue, R. P., Hughes, G. H., Hulley, S. B., Jacobs, D. R., Liu, K., & Savage, P. J. (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90080-7 · Cited by 1,689
Self-citationDiagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc12-s064 · Cited by 1,539
Active Smoking and the Risk of Type 2 Diabetes: A Systematic Review and Meta-analysis
Willi, C., Bodenmann, P., Ghali, W. A., Faris, P. D., & Cornuz, J. (2007) · JAMA · doi:10.1001/jama.298.22.2654 · Cited by 1,268
Lifetime risk of developing coronary heart disease
Lloyd‐Jones, D. M., Larson, M. G., Beiser, A., & Levy, D. A. (1999) · The Lancet · doi:10.1016/s0140-6736(98)10279-9 · Cited by 943
(1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.17.1855 · Cited by 936
The framingham offspring study. Design and preliminary data
Feinleib, M., Kannel, W. B., Garrison, R. J., McNamara, P. M., & Castelli, W. P. (1975) · Preventive Medicine · doi:10.1016/0091-7435(75)90037-7 · Cited by 926
The Framingham Offspring Study
Allhoff, P., Laaser, U., & Heinrich, J. (1991) · Springer eBooks · doi:10.1007/978-3-642-95642-3_25 · Cited by 832
Association of frailty with survival: A systematic literature review
Shamliyan, T., Talley, K. M., Ramakrishnan, R., & Kane, R. L. (2012) · Ageing Research Reviews · doi:10.1016/j.arr.2012.03.001 · Cited by 691
Obesity paradox in patients with hypertension and coronary artery disease
Uretsky, S., Messerli, F. H., Bangalore, S., Champion, A., Cooper-DeHoff, R. M., Zhou, Q., & Pepine, C. J. (2007) · The American Journal of Medicine · doi:10.1016/j.amjmed.2007.05.011 · Cited by 550
The “metabolically-obese,” normal-weight individual
Ruderman, N. B., Schneider, S. H., & Berchtold, P. (1981) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/34.8.1617 · Cited by 545
Incident Type 2 Diabetes Mellitus in African American and White Adults
Brancati, F. L., Kao, W. H. L., Folsom, A. R., Watson, R. L., & Szklo, M. (2000) · JAMA · doi:10.1001/jama.283.17.2253 · Cited by 502
Laboratory methods and quality assurance in the Cardiovascular Health Study
Cushman, M., Cornell, E. S., Howard, P. R., Bovill, E. G., & Tracy, R. P. (1995) · Clinical Chemistry · doi:10.1093/clinchem/41.2.264 · Cited by 439
Leavey, S. F., McCullough, K. P., Hecking, E., Goodkin, D. A., Port, F. K., & Young, E. W. (2001) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/16.12.2386 · Cited by 430
Body weight-for-height relationships predict mortality in maintenance hemodialysis patients
Kopple, J. D., Zhu, X., Lew, N. L., & Lowrie, E. G. (1999) · Kidney International · doi:10.1046/j.1523-1755.1999.00615.x · Cited by 395
Insulin and Risk of Cardiovascular Disease
Ruige, J. B., Assendelft, W. J., Dekker, J. M., Kostense, P. J., Heine, R. J., & Bouter, L. M. (1998) · Circulation · doi:10.1161/01.cir.97.10.996 · Cited by 393
Smoking induces insulin resistance—a potential link with the insulin resistance syndrome
ATTVALL, S., FOWELIN, J., LAGER, I., VON SCHENCK, H., & SMITH, U. (1993) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.1993.tb00680.x · Cited by 363
Folsom, A. R., Rasmussen, M. L., Chambless, L. E., Howard, G., Cooper, L. S., Schmidt, M. I., & HEISS, G. M. (1999) · Diabetes Care · doi:10.2337/diacare.22.7.1077 · Cited by 356
Gregg, E. W., Cadwell, B. L., Cheng, Y. J., Cowie, C. C., Williams, D. E., Geiss, L. S., Engelgau, M. M., & Vinicor, F. (2004) · Diabetes Care · doi:10.2337/diacare.27.12.2806 · Cited by 335
Folsom, A. R., Szklo, M., Stevens, J., Liao, F., Smith, R. D., & Eckfeldt, J. H. (1997) · Diabetes Care · doi:10.2337/diacare.20.6.935 · Cited by 275
Perry, J. R. B., Voight, B. F., Yengo, L., Amin, N., Dupuis, J., Ganser, M. A., Grallert, H., Navarro, P., Li, M., Qi, L., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002741 · Cited by 266
Self-citationLatent Autoimmune Diabetes in Adults
Naik, R. G., Brooks-Worrell, B. M., & Palmer, J. P. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-1120 · Cited by 249
Body size, dose of hemodialysis, and mortality
Wolfe, R. A., Ashby, V. B., Daugirdas, J. T., Agodoa, L. Y. C., Jones, C. A., & Port, F. K. (2000) · American Journal of Kidney Diseases · doi:10.1016/s0272-6386(00)70305-2 · Cited by 217
Doehner, W., Erdmann, E., Cairns, R., Clark, A. L., Dormandy, J. A., Ferrannini, E., & Anker, S. D. (2012) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.09.039 · Cited by 215
Abate, N. I., & Chandalia, M. (2001) · Journal of Diabetes and its Complications · doi:10.1016/s1056-8727(01)00161-1 · Cited by 172
Risk Factors for Mortality Among Patients With Diabetes
McEwen, L. N., Kim, C., Karter, A. J., Haan, M. N., Ghosh, D., Lantz, P. M., Mangione, C. M., Thompson, T. J., & Herman, W. H. (2007) · Diabetes Care · doi:10.2337/dc07-0305 · Cited by 121
Is Obesity Related to Microvascular and Macrovascular Complications in Diabetes?
Klein, R. (1997) · Archives of Internal Medicine · doi:10.1001/archinte.1997.00440270094008 · Cited by 116
Lavie, C. J., Milani, R. V., Ventura, H. O., & Romero‐Corral, A. (2010) · Mayo Clinic Proceedings · doi:10.4065/mcp.2010.0333 · Cited by 99
Dyer, A. R., Stamler, J., Garside, D. B., & Greenland, P. (2003) · Annals of Epidemiology · doi:10.1016/s1047-2797(03)00121-2 · Cited by 79
Self-citationSerum Insulin, Obesity, and the Incidence of Type 2 Diabetes in Black and White Adults
Carnethon, M. R., Palaniappan, L. P., Burchfiel, C. M., Brancati, F. L., & Fortmann, S. P. (2002) · Diabetes Care · doi:10.2337/diacare.25.8.1358 · Cited by 71
Self-citationSchmidt, D., & Salahudeen, A. (2007) · Nutrition in Clinical Practice · doi:10.1177/011542650702200111 · Cited by 62
Given Diabetes, Is Fat Better Than Thin?
Ross, C. C., Langer, R. D., & Barrett-Connor, E. L. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.650 · Cited by 30
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- [22]Uretsky S Messerli FH Bangalore S Obesity Paradox in Patients with Hypertension and Coronary Artery Disease The American Journal of Medicine 2007 120 10 863 870 17904457
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Metadata
- Authors
- Carnethon, M. R., De Chavez, P. J. D., Biggs, M. L., Lewis, C. E., Pankow, J. S., Bertoni, A. G., Golden, S. H., Liu, K., Mukamal, K. J., Campbell-Jenkins, B., & Dyer, A. R.
- Affiliations
- Northwestern University (US)
- University of Washington (US)
- University of Alabama (US)
- University of Minnesota (US)
- Wake Forest University Health Sciences (US)
- Johns Hopkins University (US)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Carnethon, Mercedes R.
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2012-08-08
- Volume
- 308
- Issue
- 6
- Pages
- 581-90
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC3467944
- OpenAlex
- W2040767736
- Cited by
- 567
- References
- 36
- Citations by year
- 2026: 16 · 2025: 18 · 2024: 32 · 2023: 36 · 2022: 26 · 2021: 31 · 2020: 38 · 2019: 36 · 2018: 47 · 2017: 41 · 2016: 54 · 2015: 45 · 2014: 70 · 2013: 59 · 2012: 16
- FWCI
- 48.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (n01hc95095-66-0-1, n01hc95164-17-0-1, n01hc085082-026, n01hc085081-021, n01hc045133-001, n01hc48050-59-0-1, n01hc085079-024, n01hc015103-009, n01hc48048-58-0-1, n01hc085084-005, n01hc55021-47-0-1, n01hc085085-011, n01hc085083-027, n01hc95165-34-0-1, n01hc48047-55-0-1, n01hc55020-39-0-0, n01hc085080-026, n01hc55016-37-0-0, n01hc055022-024, n01hc95161-24-0-1, n01hc095169-003, n01hc085086-022, n01hc48049-61-0-1, n01hc95162-31-0-1, n01hc55019-35-0-1, n01hc95160-18-0-1, n01hc55018-38-0-1, n01hc95163-22-0-1, n01hc55222-0-0-0, n01hc95159-40-0-1, n01hc075150-004, n01hc035129-010, n01hc55015-48-0-1)
- National Institute on Aging (AG 20098, R56AG023629, R01AG020098, AG023629, AG027058, R56AG020098, R01AG023629, R01AG015928, R01AG027058)
- National Heart, Lung, and Blood Institute (N01-HC-85081, N01HC85085, N01-HC55022, N01 HC085086, N01HC48050, N01HC-85083, N01 HC-95159, N01-HC-95160, N01 HC055016, N01-HC-55018, N01-HC095169, N01-HC-095165, N0-1-HC-85239, N01 HC 95095, N01 HC 55020, N01 HC085079, (N01-HC-95163, N01 HC 55019, N01HC85082, N01HC‐75150, N01 HC85086, N01 HC-95161, N01 HC95165, N01HC95164, N01 HC048048, N01 HC055020, N01 HC035129, N01-HC-048049, N01HC85080, N01-HC-095159, N01 HC055018, N01 HC015103, N01 HC095095, N01 HC55222, N01 HC048050, N01-HC48048, N01-HC55016, N01 HC055022, N01-HC-48-049, U01HL080295, N01 HC055019, N01 HC055222, N01 HC048047, N01-HC-480-47, HL080295, R01HL080295, N01‐HC‐55015, N01 HC-95162, N01-HC55021, N01 HC075150, N01 HC055021, N01 HC055015, N01 HC045133, R01HL078972, N01-HC85079, N01-HC85084, N01 HC95169)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK079637, R21DK082903)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Keywords
- type 2 diabetes, normal-weight individuals, body mass index, weight status, mortality, cardiovascular mortality, non-cardiovascular mortality, new-onset diabetes, overweight and obesity, diabetes duration, weight loss, cardiovascular risk factors, sex differences, racial and ethnic differences, socioeconomic status, alcohol consumption, physical activity
- MeSH terms
- Adult, Aged, Aged, 80 and over, Body Weight, Cardiovascular Diseases, Cause of Death, Diabetes Mellitus, Type 2, Female, Humans, Longitudinal Studies, Male, Middle Aged, Obesity, United States, Body Mass Index, Overweight
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