Licthenstein, M. J., Burger, M. C., Yarned, J. W. G, Elwood, Peter Creighton and Sweetnam, P. M. 1989. Derivation and validation of a prediction rule for identifying heavy consumers of alcohol. Alcoholism-Clinical and Experimental Research 13 (5) , pp. 626-630. 10.1111/j.1530-0277.1989.tb00394.x |
Abstract
Using two population-based cohorts of men aged 45-59, we sought to derive and validate a prediction rule for identifying heavy consumers of alcohol. Eighty-five percent of eligible men on electoral rolls in Caerphilly, Wales (derivation set, N = 2512) and 90% of eligible men on the practice lists of 16 Speedwell, England, general practitioners participated (validation set, N = 2348). Alcohol consumption was assessed by questionnaire with heavy alcohol consumption defined as the top 10% of the Caerphilly population's alcohol usage (>525 cc ethanol per week). The prediction rule, Score = (mean corpuscular volume × 1.00) + (body mass index × 0.31) + (systolic blood pressure × 0.08) + HDL-cholesterol × 9.24) + (fasting triglyceride × 2.20) was derived by multiple linear regression in the Caerphilly cohort and validated in the Speedwell cohort. Comparing the lower 20% of the Score distribution with the upper 5%, likelihood ratios increased from 0.15 to 5.29 and 0.06 to 7.42 in the Caerphilly and Speedwell cohorts, respectively. Having a score of 136.30 or greater yielded a relative risk of being a heavy drinker of 23.1 (95% CI = 10.1-53.0) in Caerphilly and 99.3 (95% CI = 12.8-769.5) in Speedwell. The derived prediction rule is a valid diagnostic aid to help clinicians identify heavy alcohol consumers.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Subjects: | R Medicine > R Medicine (General) R Medicine > RZ Other systems of medicine |
Publisher: | Wiley |
ISSN: | 0145-6008 |
Last Modified: | 10 Jun 2023 01:27 |
URI: | https://orca.cardiff.ac.uk/id/eprint/72419 |
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