当前位置： SCI文献检索 > JOURNAL OF CLINICAL EPIDEMIOLOGY期刊下所有文献 > Using reference values to define disease based on the lower limit of normal biased the population attributable fraction, but not the population excess risk: the example of chronic airflow obstruction.

Using reference values to define disease based on the lower limit of normal biased the population attributable fraction, but not the population excess risk: the example of chronic airflow obstruction.

Abstract：

BACKGROUND:The impact of disease on population health is most commonly estimated by the population attributable fraction (PAF), or less commonly by the excess risk, an alternative measure that estimates the absolute risk of disease in the population that can be ascribed to the exposure. Using chronic airflow obstruction as an example, we examined the impact on these estimates of defining disease based on different "normal" values. METHOD:We estimated PAF and the excess risk in scenarios in which the true rate of disease was 10% in the exposed and 5% in the unexposed, and where either 50% or 20% of the population was exposed. Disease definition was based on a "lower limit of normal", using the 5th, 1st and 0.2nd centile of values in a "normal" population as thresholds to define normality. RESULTS:Where normality is defined by centiles of values in a "normal" population, PAF is strongly influenced by which centile is selected to define normality. This is not true for the population excess risk. CONCLUSION:Care should be taken when interpreting estimates of PAF when disease is defined from a centile of a normal population.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Burney P,Minelli C

doi

10.1016/j.jclinepi.2017.10.020

subject

Has Abstract

pub_date

2018-01-01 00:00:00

pages

76-78

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(17)31145-9

journal_volume

93

pub_type

杂志文章

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