Body mass index prediction rule for mid-upper arm circumference: the atherosclerosis risk in communities study.

ABSTRACT:

Objectives

Electronic health records (EHR) are a convenient data source for clinical trial recruitment and allow for inexpensive participant screening. However, EHR may lack pertinent screening variables. One strategy is to identify surrogate EHR variables which can predict the screening variable of interest. In this article, we use BMI to develop a prediction rule for arm circumference using data from the Atherosclerosis Risk in Communities (ARIC) Study. This work applies to EHR patient screening for clinical trials of hypertension.

Methods

We included 11 585 participants aged 52-75 years with BMI and arm circumference measured at ARIC follow-up visit 4 (1996-1998). We selected the following arm circumference cutpoints based on the American Heart Association recommendations

SUBMITTER: Northuis CA 

PROVIDER: S-EPMC8734618 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature