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Body mass index and incident hospitalisation for cardiovascular disease in 158 546 participants from the 45 and Up Study.
Joshy, G; Korda, R J; Attia, J; Liu, B; Bauman, A E; Banks, E.
  • Joshy G; National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
  • Korda RJ; 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.
  • Attia J; Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, and Hunter Medical Research Institute, Newcastle, NSW, Australia.
  • Liu B; 1] School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW, Australia [2] The Sax Institute, Sydney, NSW, Australia.
  • Bauman AE; Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia.
  • Banks E; 1] National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia [2] The Sax Institute, Sydney, NSW, Australia.
Int J Obes (Lond) ; 38(6): 848-56, 2014 Jun.
Article en En | MEDLINE | ID: mdl-24149770
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 kg m(-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 kg m(-2) increase in BMI (compared to BMI 20.0-22.49 kg m(-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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Fumar / Hospitalización / Obesidad Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País como asunto: Oceania Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Fumar / Hospitalización / Obesidad Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Female / Humans / Male / Middle aged País como asunto: Oceania Idioma: En Año: 2014 Tipo del documento: Article