Family Resilience and Its Influencing Factors Among Patients With Lung Cancer Based on Double ABC-X Theoretical Framework

IF 2.9 2区医学 Q2 ONCOLOGY

Cancer Medicine Pub Date : 2025-04-15 DOI:10.1002/cam4.70868

Ziyi Shen, Yan Fang, Chengcheng Li, Xin Luo, Junling Cui, Yanchang Liu, Jingfang Hong

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Abstract

Objective

The aim of this study was to evaluate the family resilience and its psychosocial influencing factors of patients with lung cancer. Relationships between variables and pathways were also explored based on the Double ABC-X as the theoretical framework.

Methods

A cross-sectional survey of 318 lung cancer patients was conducted in a tertiary hospital in Anhui, China. The questionnaires included a general information survey, the Chinese perceived stress scale, the Connor-Davidson Resilience Scale, the social support scale, the cognitive emotion regulation scale, the self-efficacy scale, the medical coping modes questionnaire, and the family resilience scale. Data entry was performed using EpiData3.1 software, while data processing and analysis were conducted with SPSS 26.0. The structural equation modeling was fitted and validated using AMOS 26.0 software.

Results

Family resilience levels were found to be moderately above average. Linear regression analysis indicated payment method, employment status, time since diagnosis, confrontative coping style, Positive Cognitive Emotion Regulation (PCER), perceived stress, social support, and personal resilience as the main influencing factors, which could explain 71.1% of the variation of family resilience in individuals with lung cancer. The final model comprises nine significant pathways. Cognitive emotion regulation, self-efficacy, and social support all have direct positive effects on family resilience (β = 0.202, β = 0.272, β = 0.298). Personal resilience, social support, and self-efficacy significantly positively influence confrontive coping modes (β = 0.293, β = 0.175, β = 0.121). Individual resilience has a significant positive effect on self-efficacy, with a path coefficient of β = 0.377. Submissive coping modes are notably enhanced by perceived stress, as indicated by a path coefficient of β = 0.516, while personal resilience negatively affects submissive coping styles, as indicated by a path coefficient of β = −0.188.

Conclusions

This study highlights the importance of psychosocial factors, such as cognitive emotion regulation, self-efficacy, and social support, in enhancing family resilience in lung cancer patients. Clinically, interventions targeting these factors might significantly improve family functioning and coping mechanisms, contributing to better patient and family outcomes during cancer treatment and care.

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基于双ABC-X理论框架的肺癌患者家庭心理弹性及其影响因素

目的本研究旨在评估肺癌患者的家庭复原力及其社会心理影响因素。并以双ABC-X为理论框架，探讨变量之间的关系和路径。方法在安徽一家三级甲等医院对 318 名肺癌患者进行横断面调查。调查问卷包括一般信息调查、中国人感知压力量表、康纳-戴维森复原力量表、社会支持量表、认知情绪调节量表、自我效能量表、医疗应对模式问卷和家庭复原力量表。数据录入采用 EpiData3.1 软件，数据处理和分析采用 SPSS 26.0。结构方程模型使用 AMOS 26.0 软件进行拟合和验证。结果发现家庭复原力水平略高于平均水平。线性回归分析表明，付款方式、就业状况、确诊时间、对抗性应对方式、积极认知情绪调节（PCER）、感知压力、社会支持和个人抗逆力是主要影响因素，可解释肺癌患者家庭抗逆力71.1%的变化。最终模型包括九条重要途径。认知情绪调节、自我效能感和社会支持都对家庭复原力有直接的积极影响（β = 0.202, β = 0.272, β = 0.298）。个人复原力、社会支持和自我效能感对对抗性应对模式有显著的正向影响（β = 0.293, β = 0.175, β = 0.121）。个体复原力对自我效能感有明显的正向影响，路径系数为 β = 0.377。感知到的压力会明显增强顺从型应对方式，路径系数为 β = 0.516，而个人复原力会对顺从型应对方式产生负面影响，路径系数为 β = -0.188。结论本研究强调了认知情绪调节、自我效能感和社会支持等社会心理因素在增强肺癌患者家庭复原力方面的重要性。在临床上，针对这些因素的干预措施可能会显著改善家庭功能和应对机制，从而在癌症治疗和护理期间改善患者和家庭的预后。

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来源期刊

Cancer Medicine ONCOLOGY-

CiteScore

5.50

自引率

2.50%

发文量

907

审稿时长

19 weeks

期刊介绍： Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.