Information de reference pour ce titreAccession Number: | 00004348-201406000-00014.
|
Author: | Joshy, G 1; Korda, R J 1,2; Attia, J 3; Liu, B 4,5; Bauman, A E 6; Banks, E 1,5
|
Institution: | (1)National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia; (2)Australian Centre for Economic Research on Health, The Australian National University, Canberra, ACT, Australia; (3)Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, and Hunter Medical Research Institute, Newcastle, NSW, Australia; (4)School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW, Australia; (5)The Sax Institute, Sydney, NSW, Australia and (6)Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia. Correspondence: Dr G Joshy, National Centre for Epidemiology and Population Health, The Australian National University, Building No. 62, Mills Road, Canberra 0200, ACT, Australia.
|
Title: | Body mass index and incident hospitalisation for cardiovascular disease in 158 546 participants from the 45 and Up Study.[Article]
|
Source: | International Journal of Obesity. 38(6):848-856, June 2014.
|
Abstract: | OBJECTIVE: To investigate the relationship between fine gradations in body mass index (BMI) and risk of hospitalisation for different types of cardiovascular disease (CVD).
DESIGN, SUBJECTS AND METHODS: The 45 and Up Study is a large-scale Australian cohort study initiated in 2006. Self-reported data from 158 546 individuals with no history of CVD were linked prospectively to hospitalisation and mortality data. Hazard ratios (HRs) of incident hospitalisation for specific CVD diagnoses in relation to baseline BMI categories were estimated using Cox regression, adjusting for age, sex, region of residence, income, education, smoking, alcohol intake and health insurance status. RESULTS: There were 9594 incident CVD admissions over 583 100 person-years among people with BMI>=20 kgm-2, including 3096 for ischaemic heart disease (IHD), 1373 for stroke, 411 for peripheral vascular disease (PVD) and 320 for heart failure. The adjusted HR of hospitalisation for all CVD diagnoses combined increased significantly with increasing BMI (P(trend) <0.0001)). The HR of IHD hospitalisation increased by 23% (95% confidence interval (95% CI): 18-27%) per 5 kgm-2 increase in BMI (compared to BMI 20.0-22.49 kgm-2, HR (95% CI) for BMI categories were: 22.5-24.99=1.25 (1.08-1.44); 25-27.49=1.43 (1.24-1.65); 27.5-29.99=1.64 (1.42-1.90); 30-32.49=1.63 (1.39-1.91) and 32.5-50=2.10 (1.79-2.45)). The risk of hospitalisation for heart failure showed a significant, but nonlinear, increase with increasing BMI. No significant increase was seen with above-normal BMI for stroke or PVD. For other specific classifications of CVD, HRs of hospitalisation increased significantly with increasing BMI for: hypertension; angina; acute myocardial infarction; chronic IHD; pulmonary embolism; non-rheumatic aortic valve disorders; atrioventricular and left bundle-branch block; atrial fibrillation and flutter; aortic aneurysm; and phlebitis and thrombophlebitis.
CONCLUSION: The risk of hospitalisation for a wide range of CVD subtypes increases with relatively fine increments in BMI. Obesity prevention strategies are likely to benefit from focusing on bringing down the mean BMI at the population level, in addition to targeting those with a high BMI.
Copyright (C) 2014 Nature Publishing Group
|
Author Keywords: | cardiovascular disease; body mass index; hospitalisation; ischaemic heart disease.
|
References: | 1 Organisation for Economic Co-operation and Development. Obesity and the Economics of Prevention: Fit Not Fat. OECD: Paris, France, 2010.
2 Thompson D, Edelsberg J, Colditz GA, Bird AP, Oster G. Lifetime health and economic consequences of obesity. Arch Intern Med 1999; 159: 2177-2183.
3 Kortt MA, Langley PC, Cox ER. A review of cost-of-illness studies on obesity. Clin Ther 1998; 20: 772-779.
4 Wilson PW, D'Agostino RB, Sullivan L, Parise H, Kannel WB. Overweight and obesity as determinants of cardiovascular risk: the Framingham experience. Arch Intern Med 2002; 162: 1867-1872.
5 Hubert HB, Feinleib M, McNamara PM, Castelli WP. Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study. Circulation 1983; 67: 968-977.
6 Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2224-2260.
7 Murphy NF, MacIntyre K, Stewart S, Hart CL, Hole D, McMurray JJ. Long-term cardiovascular consequences of obesity: 20-year follow-up of more than 15 000 middle-aged men and women (the Renfrew-Paisley study). Eur Heart J 2006; 27: 96-106.
8 Guh D, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis A. The incidence of co-morbidities related to obesity and overweight: a systematic review and metaanalysis. BMC Public Health 2009; 9: 88.
9 Bogers RP, Bemelmans WJE, Hoogenveen RT, Boshuizen HC, Woodward M, Knekt P et al. Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a metaanalysis of 21 cohort studies including more than 300 000 persons. Arch Intern Med 2007; 167: 1720-1728.
10 Asia Pacific Cohort Studies Collaboration. Body mass index and cardiovascular disease in the Asia-Pacific Region: an overview of 33 cohorts involving 310 000 participants. Int J Epidemiol 2004; 33: 751-758.
11 Field AE, Coakley EH, Must A, Spadano JL, Laird N, Dietz WH et al. Impact of overweight on the risk of developing common chronic diseases during a 10-year period. Arch Intern Med 2001; 161: 1581-1586.
12 Canoy D, Cairns BJ, Balkwill A, Wright FL, Green J, Reeves G et al. Body mass index and incident coronary heart disease in women: a population-based prospective study. BMC Med 2013; 11: 87.
13 Parkin L, Sweetland S, Balkwill A, Green J, Reeves G, Beral V. Body mass index, surgery, and risk of venous thromboembolism in middle-aged women: a cohort study. Circulation 2012; 125: 1897-1904.
14 Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900,000 adults: collaborative analyses of 57 prospective studies. Lancet 2009; 373: 1083-1096.
15 Banks E, Redman S, Jorm L, Armstrong B, Bauman A, Beard J et al. Cohort profile: the 45 and up study. Int J Epidemiol 2008; 37: 941-947.
16 National Centre for Classification in Health. International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM). 5th edn. National Centre for Classification in Health: Sydney, NSW, Australia, 2006.
17 National Centre for Classification in Health. The Australian Classification of Health Interventions (ACHI). Tabular List of Interventions and Alphabetic Index of Interventions. 6th edn. National Centre for Classification in Health: Sydney, NSW, Australia, 2007.
18 Population Health Division. The Health of the People of New South Wales-Report of the Chief Health Officer. NSW Department of Health: Sydney, NSW, Australia, 2010.
19 World Health Organization. WHO: Global Database on Body Mass Index, 2006. Available at: http://apps.who.int/bmi/index.js...- ouverture dans une nouvelle fenêtre.
20 Fay MP, Feuer EJ. Confidence intervals for directly adjusted rates: a method based on the gamma distribution. Stat Med 1997; 16: 791-801.
21 Hays RD, Liu H, Spritzer K, Cella D. Item response theory analyses of physical functioning items in the medical outcomes study. Med Care 2007; 45(Suppl 1): S32-S38.
22 Australian Institute of Health and Welfare. The Active Australia Survey: A Guide and Manual for Implementation, Analysis and Reporting. AIHW: Canberra, ACT, Australia, 2003.
23 SAS Institute Inc. SAS Version 9.3 [computer program]. SAS Institute: Cary, NC, USA, 2011.
24 Kaplan GA, Haan MN, Wallace RB. Understanding changing risk factor associations with increasing age in adults. Annu Rev Public Health 1999; 20: 89-108.
25 Jensen MK, Chiuve SE, Rimm EB, Dethlefsen C, Tjonneland A, Joensen AM et al. Obesity, behavioral lifestyle factors, and risk of acute coronary events. Circulation 2008; 117: 3062-3069.
26 Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P et al. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet 2005; 366: 1640-1649.
27 Manson JE, Colditz GA, Stampfer MJ, Willett WC, Rosner B, Monson RR et al. A prospective study of obesity and risk of coronary heart disease in women. N Engl J Med 1990; 322: 882-889.
28 Korda RJ, Liu B, Clements MS, Bauman AE, Jorm LR, Bambrick HJ et al. Prospective cohort study of body mass index and the risk of hospitalisation: findings from 246,361 participants in the 45 and Up Study. Int J Obes 2013; 37: 790-799.
29 Han E, Truesdale KP, Taber DR, Cai J, Juhaeri J, Stevens J. Impact of overweight and obesity on hospitalization: race and gender differences. Int J Obes 2009; 33: 249-256.
30 Kabrhel C, Varraso R, Goldhaber SZ, Rimm EB, Camargo CA. Prospective study of BMI and the risk of pulmonary embolism in women. Obesity 2009; 17: 2040-2046.
31 Frost L, Hune LJ, Vestergaard P. Overweight and obesity as risk factors for atrial fibrillation or flutter: The Danish Diet, Cancer, and Health Study. Am J Med 2005; 118: 489-495.
32 Stein PD, Beemath A, Olson RE. Obesity as a risk factor in venous thromboembolism. Am J Med 2005; 118: 978-980.
33 Mealing NM, Banks E, Jorm LR, Steel DG, Clements MS, Rogers KD. Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs. BMC Med Res Methodol 2010; 10: 26.
34 National Health Survey. Summary of Results, 2007-2008 (Reissue). Australian Bureau of Statistics: Canberra, ACT, Australia, 2010.
35 Quan H, Parsons GA, Ghali WA. Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data. J Clin Epidemiol 2004; 57: 366-372.
36 Teng TH, Finn J, Hung J, Geelhoed E, Hobbs M. A validation study: how effective is the Hospital Morbidity Data as a surveillance tool for heart failure in Western Australia? Aust N Z J Public Health 2008; 32: 405-407.
37 Ruigomez A, Martin-Merino E, Rodriguez LA. Validation of ischemic cerebrovascular diagnoses in the health improvement network (THIN). Pharmacoepidemiol Drug Saf 2010; 19: 579-585.
38 Boyle CA, Dobson AJ. The accuracy of hospital records and death certificates for acute myocardial infarction. Aust N Z J Med 1995; 25: 316-323.
39 Szklo M, Nieto FJ. Epidemiology Beyond the Basics. 2 edn. Jones and Barlett Publishers: Sudbury, ON, Canada, 2007.
40 Gorber SC, Tremblay M, Moher D, Gorber B. A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 2007; 8: 307-326.
41 Ng SP, Korda R, Clements M, Latz I, Bauman A, Bambrick H et al. Validity of self-reported height and weight and derived body mass index in middle-aged and elderly individuals in Australia. Aust N Z J Public Health 2011; 35: 557-563.
42 Rossi R, Iaccarino D, Nuzzo A, Chiurlia E, Bacco L, Venturelli A et al. Influence of body mass index on extent of coronary atherosclerosis and cardiac events in a cohort of patients at risk of coronary artery disease. Nutr Metab Cardiovasc Dis 2011; 21: 86-93.
43 Darvall KA, Sam RC, Silverman SH, Bradbury AW, Adam DJ. Obesity and thrombosis. Eur J Vasc Endovasc Surg 2007; 33: 223-233.
44 Williams PT. Evidence that obesity risk factor potencies are weight dependent, a phenomenon that may explain accelerated weight gain in western societies. PLoS One 2011; 6: e27657.
|
Language: | English.
|
Document Type: | ORIGINAL ARTICLE.
|
Journal Subset: | Clinical Medicine. Life & Biomedical Sciences.
|
ISSN: | 0307-0565
|
NLM Journal Code: | 7703240
|
DOI Number: | https://dx.doi.org/10.1038/ijo.2...- ouverture dans une nouvelle fenêtre
|
Annotation(s) | |
|
|