Author | Santos, Clarice Alves | |
Author | Maia, Helena Fraga | |
Author | Pitanga, Francisco José Gondim | |
Author | Almeida, Maria da Conceição Chagas | |
Author | Fonseca, Maria de Jesus Mendes | |
Author | Aquino, Estela Mota Leão | |
Author | Cardoso, Letícia de Oliveira | |
Author | Barreto, Sandhi Maria | |
Author | Duncan, Bruce | |
Author | Schmidt, Maria Inês | |
Author | Matos, Sheila Maria Alvim | |
Access date | 2023-11-24T17:57:02Z | |
Available date | 2023-11-24T17:57:02Z | |
Document date | 2022 | |
Citation | SANTOS, Clarice Alves et al. Anthropometric trajectory in the course of life and occurrence of sarcopenia in men and women: results from the ELSA-Brasil cohort. British Journal of Nutrition, v. 130, n. 4, p. 1-13, 2023. | en_US |
ISSN | 1475-2662 | en_US |
URI | https://www.arca.fiocruz.br/handle/icict/61465 | |
Sponsorship | Ministério da Saúde.
Ministério da Ciência, Tecnologia e Inovação; Departamento de Ciência e Tecnologia.
Financiadora de Estudos e Projetos (FINEP).
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). | en_US |
Language | eng | en_US |
Publisher | Cambridge University Press | en_US |
Rights | open access | en_US |
Subject in Portuguese | Sarcopenia | en_US |
Subject in Portuguese | Envelhecimento | en_US |
Subject in Portuguese | Doenças crônicas | en_US |
Subject in Portuguese | IMC | en_US |
Title | Anthropometric trajectory in the course of life and occurrence of sarcopenia in men and women: results from the ELSA-Brasil cohort | en_US |
Type | Article | en_US |
DOI | 10.1017/S0007114522003531 | |
Abstract | 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. | en_US |
Affilliation | Universidade Estadual do Sudoeste da Bahia. Departamento de Ciências Biológicas. Jequié, BA, Brasil. | en_US |
Affilliation | Universidade do Estado da Bahia. Salvador, BA, Brasil. | en_US |
Affilliation | Universidade Federal da Bahia. Departamento de Educação Física. Salvador, BA, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz, Instituto Gonçalo Moniz. Salvador, BA, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil | en_US |
Affilliation | Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil. | en_US |
Affilliation | Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brasil. | en_US |
Affilliation | Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brasil. | en_US |
Affilliation | Universidade Federal do Rio Grande do Sul. Faculdade de Medicina. Porto Alegre, RS, Brasil. | en_US |
Affilliation | Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil. | en_US |
Subject | Sarcopenia | en_US |
Subject | Ageing | en_US |
Subject | Chronic diseases | en_US |
Subject | BMI | en_US |
DeCS | Sarcopenia | en_US |
DeCS | Envelhecimento | en_US |
DeCS | Doença Crônica | en_US |
DeCS | Índice de Massa Corporal | en_US |
xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |