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慢性关节疼痛患者伴发抑郁症的多因素Logistic回归分析 被引量:1

Multi-factors binary Logistic regression of chronic joint pain patients with depression
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摘要 目的探讨慢性关节疼痛患者伴发抑郁症的原因及其相关因素,并提出预防与处理对策。方法分析630例慢性关节疼痛患者,选择性别、年龄、疼痛程度、病程、婚姻状况、疾病认知、文化程度、个性特征、医疗费用及并发抑郁症指标进行统计,采用Logistic多因素回归分析。结果 630例患者中患有抑郁症52例。疼痛程度、病程、疾病认知、文化程度、个性特征、医疗费用因素与抑郁症有相关性(P<0.05)。结论疼痛程度、病程、疾病认知、文化程度、个性特征、医疗费用是慢性关节疼痛患者产生抑郁症的危险因素。认真做好关节疼痛患者的健康教育,提高疾病认知性可以避免抑郁症的发生。 Objective To investigate the reasons and influencing factors of chronic joint pain patients with depression, and put forward the prevention and treatment measures. Methods Six-hundred and thirty ehronie joint pain patients with depression were selected and related factors such as age, gender, pain level, clinical course, marital status, eognition, educational achievement, personality charaeteristies, medical expenses were analyzed by multiple factor Logistic regression with SPSS statistical software. Resolts Among 630 patients, 52 eases had depression. Those factors that were pain level, clinical course, cognition, educational achievement, personality characteristics, medical expenses were closely correlated to the symptoms of depression (P〈0.05). Conclusion Pain level, clinical course, cognition, educational achievement, personality characteristics, medical expenses are risk faetors for depression formation in chronic joint pain patients. Strengthen health education and disease recognition are important to prevent the occurrence of depression.
出处 《实用医技杂志》 2014年第2期117-119,共3页 Journal of Practical Medical Techniques
基金 佛山市医学科学技术研究课题(2012395)
关键词 关节痛 抑郁症 因果律 LOGISTIC模型 Arthralgia Depressive disorder Causality Logistic models
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