INTRODUCTION The critical sociodemographic, lifestyle and diseases factors influencing sarcopenia, defined by the current European Working Group on Sarcopenia 2 (EWGSOP2) classification and cut-off points, have not yet been fully elucidated. This study aimed, therefore, to determine sociodemographic, anthropometric, lifestyle and health-related factors associated with sarcopenia using the new EWGSOP2 definition. STUDY DESIGN 396,283 participants (52.8 % women, age 38-73 years) were included in this cross-sectional study. The potential factors associated with sarcopenia were allocated to four categories: sociodemographic (sex, age, education, income and professional qualification), anthropometric (nutritional status, abdominal obesity, body fat and birth weight), lifestyle (physical activity, smoking, sleeping, sitting time, TV viewing, alcohol, and dietary intakes) and health status (self-reported prevalent diseases). P-values were corrected for multiple testing using the Bonferroni method. RESULTS Age, women, lower education, higher deprivation, underweight, lower birth weight, and chronic diseases such as rheumatoid arthritis, chronic bronchitis and osteoporosis were associated with a higher likelihood of sarcopenia. Conversely, overweight, obesity, as well as a self-reported higher intake of energy, protein, vitamins (B12 and B9) and minerals (potassium, calcium and magnesium) were associated with lower odds of sarcopenia. CONCLUSION Women, people aged over 65 years, underweight people and those with rheumatoid arthritis were most likely to have sarcopenia. Considering the increase in the ageing population, sarcopenia is likely to become more prevalent. Identifying factors associated with sarcopenia could inform future strategies for early identification of individuals at high risk of sarcopenia and therefore the implementation of preventive strategies against the disease.

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与肌肉减少症相关的因素：使用英国生物银行的横断面分析

介绍 目前欧洲肌肉减少症工作组 2 (EWGSOP2) 分类和截止点定义的影响肌肉减少症的关键社会人口统计学、生活方式和疾病因素尚未完全阐明。因此，本研究旨在使用新的 EWGSOP2 定义确定与肌肉减少症相关的社会人口学、人体测量学、生活方式和健康相关因素。研究设计 396,283 名参与者（52.8% 女性，年龄 38-73 岁）被纳入这项横断面研究。与肌肉减少症相关的潜在因素被分为四类：社会人口统计学（性别、年龄、教育、收入和专业资格）、人体测量学（营养状况、腹部肥胖、体脂和出生体重）、生活方式（身体活动、吸烟、睡眠、坐着的时间，看电视，喝酒，和饮食摄入量）和健康状况（自我报告的流行病）。使用 Bonferroni 方法对多重测试校正 P 值。结果 年龄、女性、受教育程度低、贫困程度高、体重不足、出生体重偏低以及慢性疾病（如类风湿性关节炎、慢性支气管炎和骨质疏松症）与肌肉减少症的可能性较高有关。相反，超重、肥胖以及自我报告摄入较多的能量、蛋白质、维生素（B12 和 B9）和矿物质（钾、钙和镁）与肌肉减少症的几率较低有关。结论 女性、65 岁以上的人、体重不足的人和患有类风湿性关节炎的人最有可能患有肌肉减少症。考虑到人口老龄化的增加，肌肉减少症可能会变得更加普遍。