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

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        Author
        Madden, Angela
        Mashanova, Alla
        Amirabdollahian, Farzad
        Ghuman, Sandeep
        Makda, Munibah
        Collinson, Avril
        Dean, Frances
        Hirsz, Malgorzata
        Lennie, Susan
        Maynard, Maria J
        Power, Brian
        Attention
        2299/21490
        Abstract
        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.
        Publication date
        2019-06-21
        Published in
        Clinical Nutrition
        Published version
        https://doi.org/10.1016/j.clnu.2019.06.007
        License
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        Other links
        http://hdl.handle.net/2299/21490
        Relations
        School of Life and Medical Sciences
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