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Erschienen in: Journal of General Internal Medicine 1/2014

01.01.2014 | Original Research

Body-Mass Index and All-Cause Mortality in US Adults With and Without Diabetes

verfasst von: Chandra L. Jackson, PhD, MS, Hsin-Chieh Yeh, PhD, Moyses Szklo, MD, DrPH, Frank B. Hu, MD, PhD, Nae-Yuh Wang, PhD, Rosemary Dray-Spira, MD, PhD, Frederick L. Brancati, MD, MHS

Erschienen in: Journal of General Internal Medicine | Ausgabe 1/2014

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ABSTRACT

BACKGROUND

Previous studies found normal weight compared to overweight/obese adults with type 2 diabetes had a higher mortality risk, and body-mass index (BMI)–mortality studies do not typically account for baseline diabetes status.

OBJECTIVE

To determine if diabetes influences the BMI–mortality relationship.

DESIGN

Using a prospective study design, we analyzed data from a nationally representative sample of US adults participating in the National Health Interview Survey from 1997 to 2002, and followed for mortality through 2006.

PARTICIPANTS

Excluding those with heart disease or cancer, our final analytic sample included 74,710 (34,805 never smoker) adults.

MAIN MEASURES

BMI was calculated from self-reported height and weight. Diabetes status was based on self-reported diagnosis from a health professional. We used direct age standardization to calculate all-cause mortality rates and adjusted Cox models for all-cause mortality hazard ratios by BMI quintile; this was done separately for adults with diabetes and without diabetes.

KEY RESULTS

Among never smokers, mean age was 50.1 years and 43 % were men. Mean BMI was 27.4 kg/m2, 26 % were obese, and 2,035 (5 %) reported diagnosed diabetes. After 9 years, there were 4,355 deaths (754 of 4,740 with diabetes; 3,601 of 69,970 without) among 74,710 participants, and 1,238 (247 of 2,035 with diabetes; 991 of 32,770 without) among 34,805 never smokers. We observed a qualitative interaction with diabetes on the BMI–mortality relationship (p = 0.002). Death rates were substantially higher among participants with diabetes compared to those without diabetes across all BMI quintiles. However, death rates in participants with diabetes fell with increasing BMI quintile, while rates followed a J-shaped curve among those without diabetes. In adjusted Cox models, BMI was positively associated with mortality in adults without diabetes, but inversely associated with mortality among participants with diabetes.

CONCLUSIONS

Mortality increased with increasing BMI in adults without diabetes, but decreased with increasing BMI among their counterparts with diabetes. Future studies need to be better designed to answer the question of whether normal weight adults with diabetes have a higher risk of mortality, by minimizing the possibility of reverse causation. Future studies should also account for prevalent diabetes in all investigations of the BMI–mortality relationship.
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Literatur
1.
Zurück zum Zitat Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999–2008. JAMA: j Am Med Assoc. 2010;303:235–241.CrossRef Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999–2008. JAMA: j Am Med Assoc. 2010;303:235–241.CrossRef
2.
Zurück zum Zitat Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States, 2005–2008. NCHS Data Brief 2010:1–8. Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States, 2005–2008. NCHS Data Brief 2010:1–8.
3.
Zurück zum Zitat Overweight, obesity, and health risk. National Task Force on the Prevention and Treatment of Obesity. Archives of internal medicine. 2000;160:898–904. Overweight, obesity, and health risk. National Task Force on the Prevention and Treatment of Obesity. Archives of internal medicine. 2000;160:898–904.
4.
Zurück zum Zitat Ogden CL, Yanovski SZ, Carroll MD, Flegal KM. The epidemiology of obesity. Gastroenterology. 2007;132:2087–2102.PubMedCrossRef Ogden CL, Yanovski SZ, Carroll MD, Flegal KM. The epidemiology of obesity. Gastroenterology. 2007;132:2087–2102.PubMedCrossRef
5.
6.
Zurück zum Zitat Schneider HJ, Wittchen HU, Wallaschofski H. Obesity and risk of death. N Engl J Med. 2009;360:1043.PubMed Schneider HJ, Wittchen HU, Wallaschofski H. Obesity and risk of death. N Engl J Med. 2009;360:1043.PubMed
7.
Zurück zum Zitat Finkelstein EA, Fiebelkorn IC, Wang G. State-level estimates of annual medical expenditures attributable to obesity. Obes Res. 2004;12:18–24.PubMedCrossRef Finkelstein EA, Fiebelkorn IC, Wang G. State-level estimates of annual medical expenditures attributable to obesity. Obes Res. 2004;12:18–24.PubMedCrossRef
8.
Zurück zum Zitat Flegal KM, Graubard BI, Williamson DF, Cooper RS. Reverse causation and illness-related weight loss in observational studies of body weight and mortality. Am J Epidemiol. 2011;173:1–9.PubMedCrossRef Flegal KM, Graubard BI, Williamson DF, Cooper RS. Reverse causation and illness-related weight loss in observational studies of body weight and mortality. Am J Epidemiol. 2011;173:1–9.PubMedCrossRef
10.
Zurück zum Zitat Wilcosky T, Hyde J, Anderson JJ, Bangdiwala S, Duncan B. Obesity and mortality in the Lipid Research Clinics Program Follow-up Study. J clin epidemiol. 1990;43:743–752.PubMedCrossRef Wilcosky T, Hyde J, Anderson JJ, Bangdiwala S, Duncan B. Obesity and mortality in the Lipid Research Clinics Program Follow-up Study. J clin epidemiol. 1990;43:743–752.PubMedCrossRef
11.
Zurück zum Zitat Wolters KM. Introduction to Variance Estimation. New York, NY: Springer; 1990. Wolters KM. Introduction to Variance Estimation. New York, NY: Springer; 1990.
12.
Zurück zum Zitat Rao JN, Scott AJ. A simple method for the analysis of clustered binary data. Biometrics. 1992;48:577–585.PubMedCrossRef Rao JN, Scott AJ. A simple method for the analysis of clustered binary data. Biometrics. 1992;48:577–585.PubMedCrossRef
13.
Zurück zum Zitat Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.PubMedCentralPubMedCrossRef Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.PubMedCentralPubMedCrossRef
14.
Zurück zum Zitat Berrington de Gonzalez A, Hartge P, Cerhan JR, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211–2219.PubMedCrossRef Berrington de Gonzalez A, Hartge P, Cerhan JR, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211–2219.PubMedCrossRef
15.
Zurück zum Zitat Carnethon MR, De Chavez PJ, Biggs ML, et al. Association of weight status with mortality in adults with incident diabetes. JAMA. 2012;308:581–590.PubMedCentralPubMed Carnethon MR, De Chavez PJ, Biggs ML, et al. Association of weight status with mortality in adults with incident diabetes. JAMA. 2012;308:581–590.PubMedCentralPubMed
16.
Zurück zum Zitat Fleischmann E, Teal N, Dudley J, May W, Bower JD, Salahudeen AK. Influence of excess weight on mortality and hospital stay in 1,346 hemodialysis patients. Kidney Int. 1999;55:1560–1567.PubMedCrossRef Fleischmann E, Teal N, Dudley J, May W, Bower JD, Salahudeen AK. Influence of excess weight on mortality and hospital stay in 1,346 hemodialysis patients. Kidney Int. 1999;55:1560–1567.PubMedCrossRef
17.
Zurück zum Zitat Badheka AO, Rathod A, Kizilbash MA, et al. Influence of obesity on outcomes in atrial fibrillation: yet another obesity paradox. Am J Med. 2010;123:646–651.PubMedCrossRef Badheka AO, Rathod A, Kizilbash MA, et al. Influence of obesity on outcomes in atrial fibrillation: yet another obesity paradox. Am J Med. 2010;123:646–651.PubMedCrossRef
18.
Zurück zum Zitat Chazot C, Gassia JP, Di BA, Cesare S, Ponce P, Marcelli D. Is there any survival advantage of obesity in Southern European haemodialysis patients? Nephrol Dial Transplant. 2009;24:2871–2876.PubMedCrossRef Chazot C, Gassia JP, Di BA, Cesare S, Ponce P, Marcelli D. Is there any survival advantage of obesity in Southern European haemodialysis patients? Nephrol Dial Transplant. 2009;24:2871–2876.PubMedCrossRef
19.
Zurück zum Zitat Curtis JP, Selter JG, Wang Y, et al. The obesity paradox: body mass index and outcomes in patients with heart failure. Arch Intern Med. 2005;165:55–61.PubMedCrossRef Curtis JP, Selter JG, Wang Y, et al. The obesity paradox: body mass index and outcomes in patients with heart failure. Arch Intern Med. 2005;165:55–61.PubMedCrossRef
20.
Zurück zum Zitat Fonarow GC, Srikanthan P, Costanzo MR, Cintron GB, Lopatin M. An obesity paradox in acute heart failure: analysis of body mass index and inhospital mortality for 108,927 patients in the Acute Decompensated Heart Failure National Registry. Am Heart J. 2007;153:74–81.PubMedCrossRef Fonarow GC, Srikanthan P, Costanzo MR, Cintron GB, Lopatin M. An obesity paradox in acute heart failure: analysis of body mass index and inhospital mortality for 108,927 patients in the Acute Decompensated Heart Failure National Registry. Am Heart J. 2007;153:74–81.PubMedCrossRef
21.
Zurück zum Zitat Galal W, van Gestel YR, Hoeks SE, et al. The obesity paradox in patients with peripheral arterial disease. Chest. 2008;134:925–930.PubMedCrossRef Galal W, van Gestel YR, Hoeks SE, et al. The obesity paradox in patients with peripheral arterial disease. Chest. 2008;134:925–930.PubMedCrossRef
22.
Zurück zum Zitat Kumakura H, Kanai H, Aizaki M, et al. The influence of the obesity paradox and chronic kidney disease on long-term survival in a Japanese cohort with peripheral arterial disease. J Vasc Surg. 2010;52:110–117.PubMedCrossRef Kumakura H, Kanai H, Aizaki M, et al. The influence of the obesity paradox and chronic kidney disease on long-term survival in a Japanese cohort with peripheral arterial disease. J Vasc Surg. 2010;52:110–117.PubMedCrossRef
23.
Zurück zum Zitat Mullen JT, Moorman DW, Davenport DL. The obesity paradox: body mass index and outcomes in patients undergoing nonbariatric general surgery. Ann Surg. 2009;250:166–172.PubMedCrossRef Mullen JT, Moorman DW, Davenport DL. The obesity paradox: body mass index and outcomes in patients undergoing nonbariatric general surgery. Ann Surg. 2009;250:166–172.PubMedCrossRef
24.
Zurück zum Zitat Bertoni AG, Saydah S, Brancati FL. Diabetes and the risk of infection-related mortality in the U.S. Diabetes Care. 2001;24:1044–1049.PubMedCrossRef Bertoni AG, Saydah S, Brancati FL. Diabetes and the risk of infection-related mortality in the U.S. Diabetes Care. 2001;24:1044–1049.PubMedCrossRef
25.
Zurück zum Zitat Habbu A, Lakkis NM, Dokainish H. The obesity paradox: fact or fiction? Am J Cardiol. 2006;98:944–948.PubMedCrossRef Habbu A, Lakkis NM, Dokainish H. The obesity paradox: fact or fiction? Am J Cardiol. 2006;98:944–948.PubMedCrossRef
26.
Zurück zum Zitat McAuley PA, Kokkinos PF, Oliveira RB, Emerson BT, Myers JN. Obesity paradox and cardiorespiratory fitness in 12,417 male veterans aged 40 to 70 years. Mayo Clin Proc. 2010;85:115–121.PubMedCrossRef McAuley PA, Kokkinos PF, Oliveira RB, Emerson BT, Myers JN. Obesity paradox and cardiorespiratory fitness in 12,417 male veterans aged 40 to 70 years. Mayo Clin Proc. 2010;85:115–121.PubMedCrossRef
27.
Zurück zum Zitat Schmidt DS, Salahudeen AK. Obesity-survival paradox-still a controversy? Semin Dial. 2007;20:486–492.PubMedCrossRef Schmidt DS, Salahudeen AK. Obesity-survival paradox-still a controversy? Semin Dial. 2007;20:486–492.PubMedCrossRef
28.
Zurück zum Zitat Kalantar-Zadeh K, Kopple JD. Relative contributions of nutrition and inflammation to clinical outcome in dialysis patients. Am J Kidney Dis. 2001;38:1343–1350.PubMedCrossRef Kalantar-Zadeh K, Kopple JD. Relative contributions of nutrition and inflammation to clinical outcome in dialysis patients. Am J Kidney Dis. 2001;38:1343–1350.PubMedCrossRef
29.
Zurück zum Zitat Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH. A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis. 2001;38:1251–1263.PubMedCrossRef Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH. A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis. 2001;38:1251–1263.PubMedCrossRef
30.
Zurück zum Zitat Hernan MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–625.PubMedCrossRef Hernan MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–625.PubMedCrossRef
31.
32.
Zurück zum Zitat Ferreira I, Stehouwer CD. Obesity paradox or inappropriate study designs? Time for life-course epidemiology. J Hypertens. 2012;30:2271–2275.PubMedCrossRef Ferreira I, Stehouwer CD. Obesity paradox or inappropriate study designs? Time for life-course epidemiology. J Hypertens. 2012;30:2271–2275.PubMedCrossRef
33.
Zurück zum Zitat McEwen LN, Karter AJ, Waitzfelder BE, et al. Predictors of mortality over 8 years in type 2 diabetic patients: Translating Research Into Action for Diabetes (TRIAD). Diabetes Care. 2012;35:1301–1309.PubMedCrossRef McEwen LN, Karter AJ, Waitzfelder BE, et al. Predictors of mortality over 8 years in type 2 diabetic patients: Translating Research Into Action for Diabetes (TRIAD). Diabetes Care. 2012;35:1301–1309.PubMedCrossRef
34.
Zurück zum Zitat Zoppini G, Verlato G, Targher G, Bonora E, Trombetta M, Muggeo M. Variability of body weight, pulse pressure and glycaemia strongly predict total mortality in elderly type 2 diabetic patients. The Verona Diabetes Study. Diabetes Metab Res Rev. 2008;24:624–628.PubMedCrossRef Zoppini G, Verlato G, Targher G, Bonora E, Trombetta M, Muggeo M. Variability of body weight, pulse pressure and glycaemia strongly predict total mortality in elderly type 2 diabetic patients. The Verona Diabetes Study. Diabetes Metab Res Rev. 2008;24:624–628.PubMedCrossRef
35.
Zurück zum Zitat Ross C, Langer RD, Barrett-Connor E. Given diabetes, is fat better than thin? Diabetes Care. 1997;20:650–652.PubMedCrossRef Ross C, Langer RD, Barrett-Connor E. Given diabetes, is fat better than thin? Diabetes Care. 1997;20:650–652.PubMedCrossRef
36.
Zurück zum Zitat Chaturvedi N, Fuller JH. Mortality risk by body weight and weight change in people with NIDDM. The WHO Multinational Study of Vascular Disease in Diabetes. Diabetes Care. 1995;18:766–774.PubMedCrossRef Chaturvedi N, Fuller JH. Mortality risk by body weight and weight change in people with NIDDM. The WHO Multinational Study of Vascular Disease in Diabetes. Diabetes Care. 1995;18:766–774.PubMedCrossRef
37.
Zurück zum Zitat Berrington de GA, Hartge P, Cerhan JR, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211–2219. Berrington de GA, Hartge P, Cerhan JR, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211–2219.
38.
Zurück zum Zitat Zheng W, McLerran DF, Rolland B, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med. 2011;364:719–729.PubMedCrossRef Zheng W, McLerran DF, Rolland B, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med. 2011;364:719–729.PubMedCrossRef
40.
Zurück zum Zitat Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW Jr. Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med. 1999;341:1097–1105.PubMedCrossRef Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW Jr. Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med. 1999;341:1097–1105.PubMedCrossRef
41.
Zurück zum Zitat Adams KF, Schatzkin A, Harris TB, et al. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med. 2006;355:763–778.PubMedCrossRef Adams KF, Schatzkin A, Harris TB, et al. Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med. 2006;355:763–778.PubMedCrossRef
42.
Zurück zum Zitat Logue J, Walker JJ, Leese G, et al. The association between bmi measured within a year after diagnosis of type 2 diabetes and mortality. Diabetes care. 2012. Logue J, Walker JJ, Leese G, et al. The association between bmi measured within a year after diagnosis of type 2 diabetes and mortality. Diabetes care. 2012.
43.
Zurück zum Zitat Stommel M, Schoenborn CA. Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001–2006. BMC Publ Health. 2009;9:421.CrossRef Stommel M, Schoenborn CA. Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001–2006. BMC Publ Health. 2009;9:421.CrossRef
44.
Zurück zum Zitat Whitlock G, Lewington S, Sherliker P, et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373:1083–1096.PubMedCrossRef Whitlock G, Lewington S, Sherliker P, et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373:1083–1096.PubMedCrossRef
46.
Zurück zum Zitat Sturm R, Wells KB. Does obesity contribute as much to morbidity as poverty or smoking? Public health. 2001;115:229–235.PubMed Sturm R, Wells KB. Does obesity contribute as much to morbidity as poverty or smoking? Public health. 2001;115:229–235.PubMed
Metadaten
Titel
Body-Mass Index and All-Cause Mortality in US Adults With and Without Diabetes
verfasst von
Chandra L. Jackson, PhD, MS
Hsin-Chieh Yeh, PhD
Moyses Szklo, MD, DrPH
Frank B. Hu, MD, PhD
Nae-Yuh Wang, PhD
Rosemary Dray-Spira, MD, PhD
Frederick L. Brancati, MD, MHS
Publikationsdatum
01.01.2014
Verlag
Springer US
Erschienen in
Journal of General Internal Medicine / Ausgabe 1/2014
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-013-2553-7

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