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基于护航模型的癌症患者社会融合现状调查及影响因素分析
作者:王敏1  陶岚2  杨凯涵1 
单位:1. 成都大学 护理学院, 四川 成都 610106;
2. 成都市第七人民医院, 四川 成都 610041
关键词:癌症 护航模型 社会融合 抑郁 家庭关怀度 社会支持 
分类号:R73
出版年·卷·期(页码):2026·54·第五期(747-754)
摘要:

目的:了解癌症患者社会融合现状及其影响因素,为构建提升癌症患者生活质量和康复结局的干预策略提供科学依据。方法:选取2025年7至9月于成都市4家三级甲等医院住院的癌症患者为研究对象。以护航模型为理论框架,采用一般资料调查表、社会融合度量表(SCS)、焦虑自评量表(SAS)、抑郁自评量表(SDS)、家庭关怀度指数问卷(the family APGAR Index)、简化版双向社会支持量表(Brief 2-Way SSS)开展问卷调查。采用Pearson相关性分析社会融合水平与焦虑、抑郁、家庭关怀度、社会支持的关系。多元线性回归分析癌症患者社会融合水平的影响因素。结果:336例患者社会融合、焦虑、抑郁、家庭关怀度、社会支持平均得分分别为(23.69±7.53)、(48.26±13.90)、(53.19±15.08)、(8.68±1.89)、(47.09±10.26)分。相关性分析显示,社会融合与焦虑(r=-0.435)、抑郁(r=-0.497)均呈负相关(均P<0.001),与家庭关怀度(r=0.383)、社会支持(r=0.375)均呈正相关(均P<0.001)。多元线性回归分析显示,性别、居住地、抑郁、家庭关怀度、社会支持是癌症患者社会融合的影响因素,差异有统计学意义(P<0.05)。结论:癌症患者在患病期间社会融合水平较低。医护人员应重点关注男性、居住在城市、抑郁程度高、家庭关怀不足、社会支持匮乏的癌症患者。对社会融合水平较低的患者给予必要的心理支持,制定并实施个性化的干预措施,以优化其生活质量,促进康复。

Objective: To investigate the level of social integration and its influencing factors among cancer patients, and to provide scientific evidence for developing intervention strategies aimed at improving their quality of life and rehabilitation outcomes. Methods: Cancer patients hospitalized in four tertiary hospitals in Chengdu from July to September 2025 were enrolled. Guided by the convoy model, a questionnaire survey was carried out using a general information questionnaire, the Social Cohesion Scale(SCS), the Self-Rating Anxiety Scale(SAS), the Self-Rating Depression Scale(SDS), the Family APGAR Index, and the Brief 2-Way Social Support Scale(Brief 2-Way SSS). Multiple linear regression analysis was conducted to identify influencing factors of social integration.Results:Among 336 patients, the mean scores for social integration, anxiety symptoms, depressive symptoms, family APGAR, and social support were (23.69±7.53), (48.26±13.90), (53.19±15.08), (8.68±1.89), and (47.09±10.26), respectively. Correlation analysis showed that social integration was negatively correlated with anxiety symptoms(r=-0.435, P<0.001) and depressive symptoms(r=-0.497, P<0.001), and positively correlated with family care(r=0.383, P <0.001) and social support(r=0.375, P<0.001). Multiple linear regression analysis revealed that gender, place of residence, depression symptoms, family functioning, and social support were significant influencing factors of social integration among cancer patients(P<0.05).Conclusion:In this study, the level of social integration among cancer patients during their illness was low. Healthcare professionals should pay particular attention to male cancer patients living in urban areas who have high levels of depression, insufficient family care, and lack of social support. It is essential to provide necessary psychological support for patients with low levels of social integration, develop and implement personalized intervention measures to optimize their quality of life and promote recovery.

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