首页|基于随机森林模型的初治肺结核患者抑郁现状及影响因素研究

基于随机森林模型的初治肺结核患者抑郁现状及影响因素研究

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目的 调查初治肺结核患者抑郁现状并探讨其影响因素,为临床开展心理干预提供依据.方法 采用便利抽样法,选取2023年12月至2024年2月在宁夏回族自治区第四人民医院呼吸内科住院的符合纳入及排除标准的208例肺结核患者.采用一般资料调查表、医院焦虑抑郁量表、慢性病患者自我健康管理能力测评量表、领悟社会支持问卷对其进行调查.应用随机森林模型和logistic回归分析患者抑郁的影响因素.结果 肺结核患者抑郁得分为(7.44±3.81)分、自我管理能力得分为(163.24±25.42)分、领悟社会支持得分为(61.21±11.54)分;抑郁分别与自我管理能力、领悟社会支持呈负相关(r=-0.333、-0.357,P<0.01);抑郁检出率为50.96%(106/208);单因素分析结果显示,不同年龄、文化程度、家庭人均月收入、婚姻状况、症状种类数、其他慢性疾病种类数的肺结核患者抑郁检出例数比较,差异有统计学意义(P<0.05);随机森林模型重要性排序从高到低依次为:自我管理能力、领悟社会支持、家庭人均月收入、年龄、文化程度、症状种类数.logistic回归分析结果显示,自我管理能力、领悟社会支持、年龄、症状种类数是肺结核患者抑郁的影响因素(P<0.05).结论 初治肺结核患者抑郁检出率较高,应重点关注自我管理能力较低、领悟社会支持差、老年人、临床症状较多的患者,对其提供心理关怀支持,减轻其抑郁.
Study on the current status and influencing factors of depression in first-treatment pulmonary tuberculosis patients based on random forest model-ing
Objective To investigate the current status of depression in first-treatment pulmonary tuberculosis patients and explore its influencing factors,so as to provide a basis for clinical psychological intervention.Methods A convenience sampling method was used to select 208 pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People's Hospital of Ningxia Hui Autonomous Region from December 2023 to February 2024,and met the inclusion and exclusion criteria.General information questionnaire,hospital anxiety and depression scale,chronic disease self-management ability measurement scale,and perceived social support scale were used to investigate.Random forest model and logistic regression were applied to analyze the influencing factors of patients'depression.Results The depression score of pulmonary tuberculosis patients was(7.44±3.81)points,the score of self-management ability was(163.24±25.42)points,and the score of perceived social support was(61.21±11.54)points;depression was negatively correlated with self-management ability and perceived social support,respectively(r=-0.333,-0.357,P<0.01);the detection rate of depression was 50.96%(106/208);the results of univariate analysis showed that the differences in the number of cases of depression detection among pulmonany tuberculosis patients with different ages,education levels,per capita monthly family income,marital status,number of symptom types,and number of other chronic disease types were statistically significant(P<0.05);and the random forest model importance rankings in descending order were self-management ability,perceived social support,per capita monthly household income,age,education levels,and number of symptom types.The results of logistic regression analysis showed that self-management ability,perceived social support,age,and the number of symptom types were the influencing factors of depression in patients with tuberculosis(P<0.05).Conclusion The detection rate of depression in first-treatment pulmonary tuberculosis patients is high,and should focus on patients with lower self-management ability,poor perceived social support,the elderly,and patients with more clinical symptoms,and provide them with psychological care and support to reduce their depression.

Pulmonary tuberculosisDepressionInfluencing factorsRandom forest modeling

王慧娟、李静、刘晓慧、袁佳琳、王丽君、陈苗苗、高海花、杨小萍

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宁夏回族自治区第四人民医院护理部,宁夏银川 750021

宁夏回族自治区第四人民医院感染性疾病科,宁夏银川 750021

宁夏医科大学护理学院,宁夏银川 750004

肺结核 抑郁 影响因素 随机森林模型

2024

中国医药导报
中国医学科学院

中国医药导报

CSTPCD
影响因子:1.759
ISSN:1673-7210
年,卷(期):2024.21(25)