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Muñoz-Esparza, Nelly C.; Garibay, Edgar M Vásquez; Haro, Alfredo Larrosa; Romero‐Velarde, Enrique

doi:10.20960/nh.2309

Cited by 1 publication

(1 citation statement)

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“…We have used arm anthropometry in clinical settings as a useful tool to predict the magnitude of liver damage in children with chronic liver disease (Hurtado-López et al, 2007), as an outcome variable in clinical trials in infants with cholestasis (Macías-Rosales et al, 2016) and in children with acute pancreatitis (Larrosa-Haro et al, 2012), as a predictor of linear growth and head circumference in children under 3 years of age (Hurtado-López et al, 2017), and in the assessment of nutritional status in hospitalized children, admitted for different reasons (Muñoz-Esparza et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Bilateral asymmetry in arm anthropometric measurements according to laterality and nutritional status in children and adolescents from 6 to 12 years old

Salazar‐Preciado

Vallarta-Robledo

Chávez-Palencia

et al. 2021

American J Hum Biol

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To compare and correlate anthropometric measurements of the left arm versus the right arm and to establish their relation to laterality, sex, and nutritional status in children and adolescents from 6 to 12 years of age. Methods:A cross-sectional study included 605 children and adolescents (285 males; 320 females), with a middle socioeconomic status, that attended an urban elementary school. Anthropometric measurements were taken in both arms, along with height and weight, to assess nutritional status. Self-reported hand preference was recorded.Results: A total of 49.3% were females and 93% of the subjects were righthanded (n = 563). The mean comparison of right arm and left arm measurements and areas, according to laterality, showed differences in arm fat measurements, with higher values in the right arm. However, the mean difference in triceps skinfold and upper arm measurements between the right arm and left arm was smaller than the technical error of measurement. Significant differences were observed between arm measurements and areas. Upper arm and total upper arm areas of both arms had the highest regression coefficients, with an adjusted R 2 of .98, whereas the arm fat index had the lowest (adjusted R 2 of .88). Adjusting the previous differences between the right arm and left arm by age, sex, BMI, and laterality produced similar results. Conclusions: Statistical but not clinically significant differences were found between some measurements and areas of both arms, discretely modified in models adjusted for age and BMI, so the measurements can be made on either arm.

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