慢性呼吸系统疾病患者膳食习惯对肌少症的影响及风险模型构建  

Effect of dietary habits on comorbid sarcopenia in patients with chronic respiratory diseases and construction of risk model

作　　者：姬春晖 骆朝辉 乔婷婷 裴华莲[4,5] Ji Chunhui;Luo Zhaohui;Qiao Tingting;Pei Hualian(School of Nursing,Xinjiang Medical University,Urumqi 830054,China;Office of Party Committee,Sixth Affiliated Hospital of Xinjiang Medical University,Urumqi 830002,China;School of Public Health,Xinjiang Medical University,Urumqi 830000,China;Department of Respiratory and Critical Care Medicine,First Affiliated Hospital of Xinjiang Medical University,Urumqi 830011,China;Department of Nursing,First Affiliated Hospital of Ningbo University,Ningbo 315010,Zhejiang Province,China)

机构地区：[1]新疆医科大学护理学院,乌鲁木齐830054 [2]新疆医科大学第六附属医院党院办,乌鲁木齐830002 [3]新疆医科大学公共卫生学院,乌鲁木齐830000 [4]新疆医科大学第一附属医院呼吸重症医学科,乌鲁木齐830011 [5]宁波大学附属第一医院护理部,浙江宁波315010

出　　处：《中华老年多器官疾病杂志》2023年第5期328-333,共6页Chinese Journal of Multiple Organ Diseases in the Elderly

基　　金：新疆维吾尔自治区自然科学基金(2017D01C288)。

摘　　要：目的 探讨慢性呼吸系统疾病患者膳食习惯对肌少症的影响并建立风险模型,为未来干预方案的制定提供参考。方法 选择2021年5月至9月新疆医科大学第一附属医院呼吸科门诊与住院部收治的328例慢性呼吸系统疾病患者(年龄≥45岁)为研究对象。应用SPSS 25.0与R 4.0.5软件中的glm和rms软件包分别进行数据分析。根据数据类型,分别采用χ^(2)检验或Fisher确切概率法进行组间比较。采用logistic回归分析慢性呼吸系统疾病患者并发肌少症的影响因素。采用受试者工作特征(ROC)曲线分析各危险因素对慢性呼吸系统疾病合并肌少症的预测价值,用Nomogram绘制列线图进行可视化分析。结果 肌少症患病率为25.0%。logistic回归分析结果显示,女性(OR=18.44, 95%CI 8.05~42.24)、高龄(≥70岁;OR=6.26,95%CI 2.51~15.61)、体质量指数(BMI)<18.5 kg/m^(2)(偏瘦;OR=6.26, 95%CI 2.51~15.61)、纯果汁/蔬菜汁每周摄入1~3次(OR=13.34, 95%CI 2.16~82.60)、坚果每个月摄入1~3次(OR=0.25,95%CI 0.09~0.70)、坚果每日摄入1次(OR=0.16,95%CI 0.03~0.80)均是慢性呼吸系统疾病患者并发肌少症的影响因素。结论 女性、高龄、低BMI(偏瘦),蔬果汁/纯果汁、坚果均与肌少症的发生密切相关,这将为呼吸系统疾病合并肌少症患者的精准评估及合理膳食干预提供科学依据。Objective To investigate the effect of dietary habits on comorbid sarcopenia occurrence in patients with chronic respiratory diseases and develop a risk model in order to provide reference for development of future intervention programs.Methods A total of 328 patients(age≥45 years)with chronic respiratory diseases admitted to the outpatient and inpatient departments of respiratory diseases of the First Affiliated Hospital of Xinjiang Medical University from May to September 2021 were recruited in the study.SPSS statistics 25.0 and the glm and rms software packages in R 4.0.5 software were applied for data analysis.Chi-square test or Fisher′s exact probability test was used for intergroup comparison depending on different data type.Logistic regression model was employed to analyze the factors influencing comorbid sarcopenia in the patients with chronic respiratory diseases.The predictive value of each risk factor for comorbid sarcopenia was analyzed with receiver operating characteristic(ROC)curves,and a Nomogram was plotted for visualization.Results The prevalence of sarcopenia was 25.0%in the cohort.Logistic regression analysis showed that female(OR=18.44,95%CI 8.05-42.24),advanced age(≥70 years,OR=6.26,95%CI 2.51-15.61);BMI<18.5 kg/m^(2)(lean;OR=6.26,95%CI 2.51-15.61),pure juice/vegetable juice intake for 1 to 3 times per week(OR=13.34,95%CI 2.16-82.60),nuts intake for 1 to 3 times per month(OR=0.25,95%CI 0.09-0.70),and nuts intake for once per day(OR=0.16,95%CI 0.03-0.80)were influencing factors for comorbid sarcopenia in patients with chronic respiratory disease.Conclusion Female,advanced age,low BMI(lean),fruit and vegetable juice/pure juice,and nuts are all closely associated with sarcopenia.These results provide a scientific basis for accurate assessment and rational dietary intervention in patients with respiratory diseases combined with sarcopenia.

关 键 词：肌少症 膳食 预测模型 

分 类 号：R685[医药卫生—骨科学]