Literature DB >> 18042360

Hospital admissions and length of stay for coronary disease in an Aboriginal cohort.

V Burke1, Y Zhao, A H Lee, E Hunter, R M Spargo, M Gracey, R Smith, L J Beilin, I B Puddey.   

Abstract

BACKGROUND AND AIMS: Coronary disease (CHD)-related hospital admission is more common among indigenous than non-indigenous Australians. We aimed to identify predictors of hospital admission potentially useful in planning prevention programs. METHODS AND
RESULTS: Length of stay (LOS), interval between, and number of recurrent admissions were modelled with proportional hazards or negative binomial models using lifestyle data recorded in 1988-1989 among Aborigines (256 women, 258 men, aged 15-88years) linked to hospital records to 2002. Among 106 Aborigines with CHD, hypertension (hazard ratio (HR) 1.69, 95% CI 1.05-2.73); smoking (HR 1.90, 95% CI 1.02-3.53); consuming processed meat >4 times/month (HR 1.81, 95% CI 1.01-3.24); >6 eggs/week (HR 1.73, 95% CI 1.03-2.94); and lower intake of alcohol (HR 0.54, 95% CI 0.35-0.83) predicted LOS. Eating eggs (HR 1.05, 95% CI 1.01-1.09) and bush meats > or =7 times/month (HR 0.46, 95% CI 0.23-0.92) predicted interval between recurrent admissions. Hypertension (IRR 4.07; 95% CI 1.32-12.52), being an ex-drinker (IRR 6.60, 95% CI 2.30-19.00), eating red meat >6 times/week (IRR 0.98, 95% CI 0.97-0.99), bush meats >7 times/month (IRR 0.26, 95% CI 0.10-0.67), and adding salt to meals (IRR 3.16, 95% CI 1.12-8.92) predicted number of admissions.
CONCLUSION: Hypertension, alcohol drinking, smoking, and diet influence hospital admissions for CHD in Aboriginal Australians.

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Year:  2007        PMID: 18042360     DOI: 10.1016/j.numecd.2007.03.005

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  1 in total

1.  Two distinct training methods for a doctrine of life with healthy heart in a low socioeconomic society model.

Authors:  Selma Metintas; Cemalettin Kalyoncu; Inci Arikan
Journal:  Int J Environ Res Public Health       Date:  2009-11-19       Impact factor: 3.390

  1 in total

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