Improved prediction equations for estimating height in adults from ethnically diverse backgrounds

Madden, Angela M and Mashanova, Alla and Amirabdollahian, Farzad and Ghuman, Sandeep and Makda, Munibah and Dean, Frances and Hirsz, Malgorzata and Lennie, Susan and Maynard, Maria J. and Power, Brian (2019) Improved prediction equations for estimating height in adults from ethnically diverse backgrounds. Clinical Nutrition. ISSN 0261-5614

Estimating ht from UL in diverse popn - as accepted Clin Nutr 19-06-07.pdf - Accepted Version

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Background and aims: When body height cannot be measured, it can be predicted from ulna length (UL). However, commonly used published prediction equations may
not provide useful estimates in adults from all ethnicities. This study aimed to evaluate the relationship between UL and height in adults from diverse ethnic groups and to consider whether this can be used to provide useful prediction equations for height in practice.
Methods: Standing height and UL were measured in 542 adults at seven UK locations. Ethnicity was self-defined using UK Census 2011 categories. Data were modelled to give two groups of height prediction equations based on UL, sex and ethnicity and these were tested against an independent dataset (n=180).
Results: UL and height were significantly associated overall and in all groups except one with few participants (P=0.059). The new equations yielded predicted height (Hp) that was closer to measured height in the Asian and Black subgroups of the
independent population than the Malnutrition Universal Screening Tool (MUST) equations. For Asian men, (Hp (cm) = 3.26 UL (cm) + 83.58), mean difference from
measured (95% confidence intervals) was -0.6 (-2.4, +1.2); Asian women, (Hp = 3.26 UL + 77.62), mean difference +0.5 (-1.4, 2.4) cm. For Black men, Hp = 3.14 UL + 85.80, -0.4 (-2.4, 1.7); Black women, Hp = 3.14 UL + 79.55, -0.8 (-2.8, 1.2). These differences were not statistically significant while predictions from MUST equations were significantly different from measured height.
Conclusions: The new prediction equations provide an alternative for estimating height in adults from Asian and Black groups and give mean predicted values that
are closer to measured height than MUST equations.

Item Type: Article
Additional Information and Comments: NOTICE: this is the author’s version of a work that was accepted for publication in Clinical Nutrition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
Faculty / Department: Faculty of Science > School of Health Sciences
Depositing User: Farzad Amirabdollahian
Date Deposited: 12 Jun 2019 13:02
Last Modified: 21 Jun 2020 00:15

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