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Anthropometric trajectory in the course of life and occurrence of sarcopenia in men and women: results from the ELSA-Brasil cohort.
Santos, Clarice Alves; Fraga-Maia, Helena; Pitanga, Francisco José Gondim; Almeida, Maria da Conceição Chagas; Fonseca, Maria de Jesus Mendes; Aquino, Estela Mota Leão; Cardoso, Letícia de Oliveira; Barreto, Sandhi Maria; Duncan, Bruce; Schmidt, Maria Inês; Matos, Sheila Maria Alvim.
Afiliação
  • Santos CA; Department of Biological Sciences, State University of the Southwest of Bahia, Jequié, BA45208-091, Brazil.
  • Fraga-Maia H; State University of Bahia, Salvador, BA, Brazil.
  • Pitanga FJG; Department of Physical Education, Federal University of Bahia, Salvador, BA, Brazil.
  • Almeida MDCC; Oswaldo Cruz Foundation, Instituto Gonçalo Moniz, Salvador, BA, Brazil.
  • Fonseca MJM; National School of Public Health - Fiocruz, Rio de Janeiro, Brazil.
  • Aquino EML; Institute for Collective Health, Federal University of Bahia, Salvador, BA, Brazil.
  • Cardoso LO; National School of Public Health - Fiocruz, Rio de Janeiro, Brazil.
  • Barreto SM; Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
  • Duncan B; Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
  • Schmidt MI; Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
  • Matos SMA; Institute for Collective Health, Federal University of Bahia, Salvador, BA, Brazil.
Br J Nutr ; 130(4): 575-587, 2023 08 28.
Article em En | MEDLINE | ID: mdl-36329652
This study aimed to identify patterns of anthropometric trajectories throughout life and to analyse their association with the occurrence of sarcopenia in people from the Longitudinal Study of Adult Health (ELSA-Brasil). It is a cross-sectional study involving 9670 public servants, aged 38-79 years, who answered the call for new data collection and exams, conducted approximately 4 years after the study baseline (2012-2014). Data sequence analysis was used to identify patterns of anthropometric trajectory. A theoretical model was elaborated based on the directed acyclic graph (DAG) to select the variables of minimum adjustment in the analysis of the causal effect between trajectory and sarcopenia. Poisson regression with robust variance was adopted for data analysis. The patterns of change in the anthropometric trajectory were classified in stable weight (T1); change to normal weight (T2); change to excess weight (T3); weight fluctuation (T4) and change to low weight (T5). The prevalence of sarcopenia in men and women who changed the anthropometric path for the low weight was twice as large when compared to participants with a stable weight trajectory. A protective effect of the excess weight trajectory was observed for the occurrence of sarcopenia in them. The results pointed to the need for health policies that encourage the proper management of body components in order to prevent and control obesity, as well as to preserve the quantity and quality of skeletal muscle mass throughout life, especially in older adults.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sarcopenia / Trajetória do Peso do Corpo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sarcopenia / Trajetória do Peso do Corpo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2023 Tipo de documento: Article