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

Carin Northuis, Tom Murray, Pamela L. Lutsey, Kenneth R. Butler, Steve Nguyen, Priya Palta, Kamakshi Lakshminarayan

Research output: Contribution to journalArticlepeer-review

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 11585 participants aged 52-75years 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 for blood pressure (BP) cuffs: small adult (≤26 cm), adult (≤34 cm) and large adult (≤44 cm). We calculated the sensitivity and specificity of BMI values for predicting arm circumference using receiver operating characteristic curves. We report the BMI threshold that maximized Youden's Index for each arm circumference upper limit of a BP cuff. Results Participants' mean BMI and arm circumference were 28.8±5.6 kg/m2 and 33.4±4.3 cm, respectively. The BMI-arm circumference Pearson's correlation coefficient was 0.86. The BMI threshold for arm circumference≤26 cm was 23.0 kg/m2, arm circumference≤34 cm was 29.2 kg/m2 and arm circumference≤44 cm was 37.4 kg/m2. Only the BMI threshold for arm circumference≤34 cm varied significantly by sex. Conclusions BMI predicts arm circumference with high sensitivity and specificity and can be an accurate surrogate variable for arm circumference. These findings are useful for participant screening for hypertension trials. Providers can use this information to counsel patients on appropriate cuff size for BP self-monitoring.

Original languageEnglish (US)
Pages (from-to)50-54
Number of pages5
JournalBlood Pressure Monitoring
Volume27
Issue number1
DOIs
StatePublished - Feb 1 2022

Bibliographical note

Funding Information:
CAN is supported by the National Heart, Lung and Blood Institute of the National Institutes of Health under award number T32 HL007779. P. Palta is supported by grant K99/R00AG052830 from the National Institute on Aging. In addition, this work is supported by NIH grant R01 HL138332 (PI: KL). The ARIC Study is funded by the National Heart, Lung, and Blood Institute, under contract numbers HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700004I and HHSN268201700005I.

Publisher Copyright:
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

Keywords

  • Atherosclerosis Risk in Communities
  • Blood pressure cuff sizes
  • Hypertension
  • Mid-arm circumference

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