摘要
目的研究肺癌患者健康行为状况并分析其相关因素。方法通过采用健康促进生活方式量表Ⅱ、患者恐惧疾病进展简化量表、一般自我效能感量表对120例肺癌患者进行问卷调查,并对调查资料进行统计分析。结果肺癌患者总体健康行为水平得分为(114.64±18.42)分,其中受教育程度、职业、月收入、医疗保险类型、病理类型、疾病确诊时长、治疗方式单因素分析中差异有统计学意义(F=4.678~11.088,P<0.05)。肺癌患者健康行为水平与癌症复发恐惧感呈负相关,与自我效能感呈正相关(P<0.01)。多因素分析显示,影响健康行为水平的因素为自我效能感(P=0.000)、月收入(P=0.009)、受教育程度(P=0.000)、医疗保险类型(P=0.004)、病理类型(P=0.007)。结论肺癌患者健康行为水平中等偏下,自我效能感、月收入、受教育程度、医疗保险类型、病理类型是肺癌患者健康行为的影响因素,医务人员可通过提高患者的自我效能感提高健康行为水平。
Objective This paper fucus on the status of lung cancer patients in health behavior and analyze its influencing factors.Methods Questionnaire survey has been finished by Health-Promoting Lifestyle Profile Ⅱ,Fear of Progression Questionnaire-Short Form and General Self-Efficacy Scale, which were delivered to 120 patients with lung cancer.Results The total score of health behavior was 114.64±18.42, which meant the level of health behavior was under the average level. It was significant on the level of education, occupation, monthly income, types of medical insurance,pathological pattern, time of diagnosis and Methods of treatment (F=4.678-11.088, P<0.05) for patientshealth behavior. There was negative correlation between health behavior and fear of cancer recurrence, positive correlation between health behavior and self-efficacy (P<0.01). Self-efficacy (P=0.000), monthly income (P=0.009), level of education (P=0.000), types of medical insurance (P=0.004), pathological pattern (P=0.007) were the influencing factors of health behavior.Conclusion The level of health behavior in lung cancer patients is under the average level.Self-efficacy,monthly income,level of education、types of medical insurance, pathological patternwere the influence factors of health behavior. Clinical stuff can encourage patients to improve their health behavior by improving self-efficacy of patients and concerning psychological change.
作者
张成彬
Zhang Chengbin(Nursing Department of Luoyang Central Hospital,Henan Province,Luoyang 471000,China)
出处
《中国实用护理杂志》
2019年第1期55-59,共5页
Chinese Journal of Practical Nursing
关键词
肿瘤
健康行为
影响因素
Neoplasms
Health behavior
Influencing factors