国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (1): 169-174.DOI: 10.3760/cma.j.cn441417-20240807-01036

• 调查报告 • 上一篇    

陕西省农村老年癌症患者生活质量及影响因素分析

常利1  谢娟1  高黎1  赵将1  孙秀娥2  何莉3  樊春秀4  岳勤5  沈红红6  王雁1   

  1. 1陕西省肿瘤医院护理部,西安 710061;2靖边县人民医院护理部,榆林 718500;3陕西省人民医院肿瘤科,西安 710068;4蒲城县医院护理部,渭南 715500;5府谷县人民医院护理部,榆林 719400;6汉阴县人民医院护理部,安康 725100

  • 收稿日期:2024-08-07 出版日期:2025-01-01 发布日期:2025-01-14
  • 通讯作者: 王雁,Email:qingshengmu@163.com
  • 基金资助:

    陕西省科技计划(2023-YF-YBSF-1036,2022SF-156)

Analysis of quality of life and its influencing factors in rural elderly patients with cancer in Shaanxi Province

Chang Li1, Xie Juan1, Gao Li1, Zhao Jiang1, Sun Xiue2, He Li3, Fan Chunxiu4, Yue Qin5, Shen Honghong6, Wang Yan1   

  1. 1 Nursing Department, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China; 2 Nursing Department, Jingbian County People's Hospital, Yulin 718500, China; 3 Oncology Department, Shaanxi Provincial People's Hospital, Xi'an 710068, China; 4 Nursing Department, Pucheng Hospital, Weinan 715500, China; 5 Nursing Department, Fugu People's Hospital, Yulin 719400, China; 6 Nursing Department, Hanyin People's Hospital, Ankang 725100, China

  • Received:2024-08-07 Online:2025-01-01 Published:2025-01-14
  • Contact: Wang Yan, Email: qingshengmu@163.com
  • Supported by:

    Shaanxi Science and Technology Project (2023-YF-YBSF-1036, 2022SF-156)

摘要:

目的 调查陕西省农村老年癌症患者的生活质量,探讨其生活质量的影响因素。方法 采用横断面研究,通过便利抽样法选取2022年7月至8月陕西省9家不同医疗机构住院的597例农村老年癌症患者作为调查对象。其中,男207例,女390例,年龄(69.56±8.84)岁;肿瘤分期:Ⅰ期58例,Ⅱ期222例,Ⅲ期242例,Ⅳ期75例。采用一般资料调查表和中文版癌症治疗功能评价系统量表(FACT)进行调查。统计学方法采用t检验、方差分析、多重线性回归分析。结果 共发放调查问卷617份,最终收回有效问卷597份,有效应答率为96.76%。陕西省农村老年癌症住院患者的生活质量总分为(55.33±8.46)分。多重线性回归分析结果显示,年龄、性别、婚姻状况、受教育程度、现居住地、居住方式、是否患有慢性病均是农村老年癌症患者生活质量的影响因素(β=0.066、0.070、-0.055、0.062、-0.066、0.099、-0.052,t=2.801、3.037、-2.347、2.355、-2.946、4.212、-2.253,均P<0.05),共同解释其12.8%的变异。结论 陕西省农村老年癌症住院患者的生活质量处于中等偏下水平,其生活质量受年龄、性别、婚姻状况、受教育程度、现居住地、居住方式和慢性病影响,应给予更多关注,注重个体差异,实施精准化干预措施,以提高其生活质量。

关键词:

癌症, 老年, 农村, 生活质量, 影响因素

Abstract:

Objective To investigate the quality of life of elderly patients with cancer in rural areas of Shaanxi Province and explore the influencing factors of the quality of life. Methods This was a cross-sectional study. Using convenience sampling method, 597 rural elderly cancer patients hospitalized in 9 different medical institutions in Shaanxi Province from July to August 2022 were selected as investigation objects. There were 207 males and 390 females, aged (69.56±8.84) years, and the tumor stage included 58 cases of stage I, 222 cases of stage II, 242 cases of stage III, and 75 cases of stage IV. General data questionnaire and Chinese version of Functional Assessment of Cancer Therapy (FACT) were used to investigate. t test, variance analysis, and multiple linear regression analysis were used for statistical analysis. Results A total of 617 questionnaires were sent out in this study, and 597 valid questionnaires were finally collected, with an effective response rate of 96.76%. The total score of quality of life of rural elderly cancer patients hospitalized in Shaanxi Province was (55.33±8.46) points, which was in the lower middle level. The results of multiple linear regression analysis showed that age, gender, marital status, education level, current place of residence, living style, and whether suffering from chronic diseases were the influencing factors for the quality of life of hospitalized rural elderly cancer patients (β=0.066, 0.070, -0.055, 0.062, -0.066, 0.099, and -0.052, t=2.801, 3.037, -2.347, 2.355, -2.946, 4.212, and -2.253, all P<0.05), together accounting for 12.8% of the variation. Conclusions The quality of life of rural elderly cancer patients hospitalized in Shaanxi Province is at a lower medium level, and their quality of life is affected by age, gender, marital status, education level, current place of residence, living style, and chronic diseases. More attention should be paid to individual differences and precise intervention measures should be implemented to improve their quality of life.

Key words:

Cancer, Old age, Rural area, Quality of life, Influencing factors