Wang Boshi, Wei Yanan, Shao Lin, Li Menghan, Zhang Xue, Li Wei, Zhao Shilong, Xia Xin, Liu Peng
Department of Clinical Nutrition, Peking University People's Hospital, Beijing, China.
Department of Geriatrics, Peking University People's Hospital, Beijing, China.
Front Aging. 2023 Aug 25;4:1239945. doi: 10.3389/fragi.2023.1239945. eCollection 2023.
Sarcopenia, defined as the loss of muscle mass and strength, has been associated with increased hospitalization and mortality. Dietary pattern analysis is a whole diet approach which in this study was used to investigate the relationship between diet and sarcopenia. This study aims to estimate the prevalence of sarcopenia and explore possible factors associated with it among a large population in Beijing, China. A cross-sectional study with 1,059 participants aged more than 50 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia. The total score of the MNA-SF questionnaire was used to analyse nutrition status. The baseline demographic information diet structure and eating habits were collected by clinicians trained in questionnaire data collection and anthropometric and bioimpedance measurements. The overall prevalence of sarcopenia was 8.8% and increased with age: 5%, 5.8%, 10.3% and 26.2% in the 50-59, 60-69, 70-79, and ≥80 years groups, respectively. Marital status (with or without a spouse) was not an independent factor associated with sarcopenia adjusted by age and sex. However, nutritional risk or malnutrition, vegetable diet, advanced age and spicy eating habits were risk factors for sarcopenia. Meanwhile, daily fruit, dairy and nut consumption were protective factors against sarcopenia adjusted by age, sex, income status and spouse status. Although further studies are required to explore the association between healthy dietary patterns and the risk of sarcopenia, the present study provides basic data for identifying correlates of sarcopenia in elderly Chinese individual.
肌肉减少症被定义为肌肉质量和力量的丧失，与住院率和死亡率的增加有关。饮食模式分析是一种整体饮食方法，在本研究中用于调查饮食与肌肉减少症之间的关系。本研究旨在估计中国北京一大群人中肌肉减少症的患病率，并探索与之相关的可能因素。对1059名年龄超过50岁的参与者进行了一项横断面研究。根据亚洲肌肉减少症工作组的指南定义肌肉减少症。使用微型营养评定法简表（MNA-SF）问卷的总分来分析营养状况。由经过问卷数据收集、人体测量和生物电阻抗测量培训的临床医生收集基线人口统计学信息、饮食结构和饮食习惯。肌肉减少症的总体患病率为8.8%，且随年龄增长而增加：在50-59岁、60-69岁、70-79岁和≥80岁年龄组中分别为5%、5.8%、10.3%和26.2%。婚姻状况（有或没有配偶）不是经年龄和性别调整后与肌肉减少症相关的独立因素。然而，营养风险或营养不良、素食、高龄和辛辣饮食习惯是肌肉减少症的危险因素。同时，经年龄、性别、收入状况和配偶状况调整后，每日食用水果、乳制品和坚果是预防肌肉减少症的保护因素。尽管需要进一步研究来探索健康饮食模式与肌肉减少症风险之间的关联，但本研究为确定中国老年人中肌肉减少症的相关因素提供了基础数据。
