Jonathan F Easton1, Christopher R Stephens1, Heriberto Román-Sicilia2, Matteo Cesari3, Mario Ulises Pérez-Zepeda4. 1. C3 - Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, Mexico; Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de México, Mexico. 2. C3 - Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, Mexico. 3. Geriatric Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community, University of Milan, Milan, Italy. 4. Geriatric Epidemiologic Research Department, Instituto Nacional de Geriatría, Mexico; Instituto de Envejecimiento, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia. Electronic address: mperez@inger.gob.mx.
Abstract
BACKGROUND: As the number of older adults increases, so does the number of frail older adults. Although anthropometry has been widely used as a way to stratify the overall mortality risk of a person, the significance of these measurements becomes blurred in the case of frail older adults who have changes in body composition. Therefore, the aim of this study is to determine the association of anthropometric measurements (body mass index, knee-adjusted height body mass index, waist-to-hip ratio and calf circumference) with mortality risk in a group of older Mexican adults. METHODS: This is a longitudinal analysis of the Mexican Health and Aging sub-sample (with biomarkers, n = 2573) from the first wave in 2001, followed-up to the last available wave in 2015. Only frail 50-year or older adults (Frailty Index with a cut-off value of 0.21 or higher, was used) were considered for this analysis (n = 1298). A survival analysis was performed with Kaplan-Meier curves and Cox regression models (unadjusted and adjusted for confounding). Socio-demographic, health risks, physical activity and comorbidities were variables used for adjusting the multivariate models. RESULTS: From the total sample of 1298 older adults, 32.5% (n = 422) died during follow-up. The highest hazard ratio in the adjusted model was for calf circumference 1.31 (95% confidence interval 1.02-1.69, p = 0.034). Other measurements were not significant. CONCLUSIONS: Anthropometric measurements have different significance in frail older adults, and these differences could have implications on adverse outcomes. Calf circumference has a potential value in predicting negative health outcomes.
BACKGROUND: As the number of older adults increases, so does the number of frail older adults. Although anthropometry has been widely used as a way to stratify the overall mortality risk of a person, the significance of these measurements becomes blurred in the case of frail older adults who have changes in body composition. Therefore, the aim of this study is to determine the association of anthropometric measurements (body mass index, knee-adjusted height body mass index, waist-to-hip ratio and calf circumference) with mortality risk in a group of older Mexican adults. METHODS: This is a longitudinal analysis of the Mexican Health and Aging sub-sample (with biomarkers, n = 2573) from the first wave in 2001, followed-up to the last available wave in 2015. Only frail 50-year or older adults (Frailty Index with a cut-off value of 0.21 or higher, was used) were considered for this analysis (n = 1298). A survival analysis was performed with Kaplan-Meier curves and Cox regression models (unadjusted and adjusted for confounding). Socio-demographic, health risks, physical activity and comorbidities were variables used for adjusting the multivariate models. RESULTS: From the total sample of 1298 older adults, 32.5% (n = 422) died during follow-up. The highest hazard ratio in the adjusted model was for calf circumference 1.31 (95% confidence interval 1.02-1.69, p = 0.034). Other measurements were not significant. CONCLUSIONS: Anthropometric measurements have different significance in frail older adults, and these differences could have implications on adverse outcomes. Calf circumference has a potential value in predicting negative health outcomes.
Authors: Howard Bergman; Luigi Ferrucci; Jack Guralnik; David B Hogan; Silvia Hummel; Sathya Karunananthan; Christina Wolfson Journal: J Gerontol A Biol Sci Med Sci Date: 2007-07 Impact factor: 6.053
Authors: Victor Manuel Mendoza-Núnez; Martha A Sánchez-Rodríguez; Armando Cervantes-Sandoval; Elsa Correa-Muñoz; Luis Alberto Vargas-Guadarrama Journal: Am J Hum Biol Date: 2002 May-Jun Impact factor: 1.937
Authors: Maria Victoria Zunzunegui; Maria Teresa Sanchez; Angela Garcia; Jose Manuel Ribera Casado; Angel Otero Journal: J Aging Health Date: 2011-05-31
Authors: Oleg Zaslavsky; Eileen Rillamas-Sun; Andrea Z LaCroix; Nancy F Woods; Lesley F Tinker; Anna Zisberg; Efrat Shadmi; Barbara Cochrane; Beatrice J Edward; Stephen Kritchevsky; Marcia L Stefanick; Mara Z Vitolins; Jean Wactawski-Wende; Shira Zelber-Sagi Journal: J Am Geriatr Soc Date: 2016-02 Impact factor: 5.562
Authors: José Juan García-González; Carmen García-Peña; Francisco Franco-Marina; Luis Miguel Gutiérrez-Robledo Journal: BMC Geriatr Date: 2009-11-03 Impact factor: 3.921
Authors: M de Almeida Roediger; M de Fátima Nunes Marucci; D A Quintiliano Scarpelli Dourado; C de Oliveira; J Licio Ferreira Santos; Y A de Oliveira Duarte Journal: J Nutr Health Aging Date: 2019 Impact factor: 4.075