Department of Biological Sciences, State University of the Southwest of Bahia, Jequié, BA45208-091, Brazil.
State University of Bahia, Salvador, BA, Brazil.
Br J Nutr. 2023 Aug 28;130(4):575-587. doi: 10.1017/S0007114522003531. Epub 2022 Nov 4.
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.
本研究旨在识别整个生命周期中的人体测量轨迹模式,并分析它们与来自成人健康纵向研究(ELSA-Brasil)人群中肌少症发生的关联。这是一项横断面研究,涉及 9670 名年龄在 38-79 岁的公务员,他们回应了新数据收集和检查的号召,大约在研究基线(2012-2014 年)后 4 年进行。使用数据序列分析来识别人体测量轨迹模式。根据有向无环图(DAG)制定了一个理论模型,以选择在轨迹与肌少症之间因果关系分析中最小调整变量。采用具有稳健方差的泊松回归进行数据分析。人体测量轨迹变化模式分为稳定体重(T1);体重正常化(T2);超重(T3);体重波动(T4)和体重减轻(T5)。与体重稳定轨迹的参与者相比,体重减轻的人体测量路径改变的男性和女性中肌少症的患病率增加了一倍。超重轨迹对肌少症的发生有保护作用。研究结果表明,需要制定健康政策,鼓励对身体成分进行适当管理,以预防和控制肥胖,并在整个生命周期中,特别是在老年人中,保持骨骼肌质量的数量和质量。