2025 年第 6 期 第 20 卷

健康体检人群电子健康素养及肺结节检出的影响因素分析

Analysis of the influencing factors of electronic health literacy and pulmonary nodule detection in health check-up population

作者：张林波黄萍梁倩陈雯宋卓华王芃

英文作者：Zhang Linbo Huang Ping Liang Qian Chen Wen Song Zhuohua Wang Peng

单位：广西医科大学第一附属医院健康管理部，南宁530021

英文单位：Department of Health Management the First Affiliated Hospital of Guangxi Medical University Nanning 530021 China

关键词：肺结节；影响因素；电子健康素养；健康体检

英文关键词：Pulmonarynodule;Influencingfactors;Electronichealthliteracy;Healthexamination

• 摘要：

• 目的 探究健康体检人群电子健康素养及肺结节检出的影响因素。方法 选择2023年2—8月在广西医科大学第一附属医院健康管理部接受胸部CT检查的730名健康体检者为研究对象。对研究对象进行一般情况及电子健康素养量表（eHEALS）问卷调查获取研究数据，并进一步对eHEALS评分是否合格2组人群的资料进行对比，分析肺结节检出的相关影响因素。结果 eHEALS评分合格组总体年龄小于、文化程度高于不合格组，单身、对身心健康非常关注、偶尔及经常运动和搜索过网络健康信息的比例高于不合格组（均P<0.05）。单因素二元Logistic分析结果提示年龄（比值比=1.02，95%置信区间：1.01～1.03，P=0.001）以及已婚（比值比=1.71，95%置信区间：1.11～2.64，P=0.015）是肺结节检出的危险因素，多因素二元Logistic分析结果提示年龄是肺结节检出的独立危险因素（比值比=1.02，95%置信区间：1.01～1.03，P=0.001）。结论 eHEALS评分合格人群的总体年龄更小，文化程度相对更高。年龄是肺结节检出的独立危险因素。

• Objective To explore the influencing factors of electronic health literacy and pulmonary nodule detection in health check-up population. Methods A total of 730 healthy people who underwent chest CT examination in the Department of Health Management, the First Affiliated Hospital of Guangxi Medical University from February to August 2023 were selected as the research objects. The general situation and the electronic health literacy scale (eHEALS) questionnaire survey were conducted to obtain research data, and the data of the two groups of people with or without eHEALS scores were compared to analyze the related influencing factors of pulmonary nodule detection. Results The eHEALS qualified group was younger and had higher education level than the unqualified group. The proportions of being single, paying great attention to physical and mental health, exercising occasionally or often and searching online health information were higher than those in the unqualified group (all P<0.05). The results  of univariate binary Logistic regression analysis suggested that age［odds ratio(OR)=1.02, 95% confidence interval(CI):1.01-1.03, P=0.001］ and married(OR=1.71, 95%CI:1.11-2.64, P=0.015) were the risk factors for pulmonary nodule detection. The results  of multivariate binary Logistic regression analysis suggested that age was an independent risk factor for pulmonary nodule detection(OR=1.02, 95%CI=1.01-1.03, P=0.001). Conclusion The overall age of the eHEALS score eligible population was younger and the education level was relatively higher. Age is an independent risk factor for the detection of pulmonary nodule.