尘肺病患者领悟社会支持与心理韧性关系的网络分析

职业与健康 ›› 2025, Vol. 41 ›› Issue (10): 1303-1308.

尘肺病患者领悟社会支持与心理韧性关系的网络分析

王美昌¹, 张欢¹, 刘齐芬^1,2, 曾晓丽¹, 李静芝¹

1.广东药科大学护理学院,广东广州 510310;
2.东莞松山湖中心医院护理部,广东东莞 523808

收稿日期:2024-10-09 修回日期:2024-11-18 出版日期:2025-05-15 发布日期:2025-12-18
通信作者: 李静芝,副教授,E-mail：jingzyx223@163.com
作者简介:王美昌,女,在读硕士研究生,研究方向为慢性病护理。
基金资助:
2021年东莞市社会发展科技面上项目（20211800900942）

Network analysis of the relationship between perceived social support and psychological resilience in patients with pneumoconiosis

WANG Meichang¹, ZHANG Huan¹, LIU Qifen^1,2, ZENG Xiaoli¹, LI Jingzhi¹

1. School of Nursing,Guangdong Pharmaceutical University,Guangzhou,Guangdong 510310,China;
2. Department of Nursing,Dongguan Songshan Lake Central Hospital,Dongguan,Guangdong 523808,China

Received:2024-10-09 Revised:2024-11-18 Online:2025-05-15 Published:2025-12-18
Contact: LI Jingzhi,Associate professor,E-mail：jingzyx223@163.com

摘要/Abstract

摘要： 目的探究尘肺病患者领悟社会支持与心理韧性间的网络特征,并统计分析出关键症状,为更大程度地改善患者的心理健康和适应能力提供理论依据。方法 2022年6月—2023年6月,使用领悟社会支持量表与心理韧性量表简版对广东省某职业病防治医院的240名尘肺病患者进行调查。使用SPSS 26.0进行描述统计及单因素分析,使用R 4.3.2软件进行网络模型的估计及相关指标计算。结果领悟社会支持与心理韧性网络结果表明,“C2（处理任何事情）和P4（家庭感情帮助和支持）”“C3（积极面对问题）和P8（与家庭讨论难题）”之间存在最强的关联,边缘权重值分别为0.091和0.075。P9（与朋友分享心情）是网络中强度中心性最高的节点,为1.509。P11（家庭协助判断）的桥梁强度最高,为0.215。在网络中,边权值的准确性高,节点预期影响的稳定性系数为4.38,在可接受范围内。结论 P9是网络最核心的节点,P11是网络的关键桥梁节点,以这些关键节点为主要的靶点可能会更大程度地改善患者的心理健康和适应能力,并提升其在应对疾病过程中的抗压能力和康复效果。

关键词: 尘肺病, 领悟社会支持, 心理韧性, 网络分析

Abstract: Objective To explore the network characteristics between perceived social support and psychological resilience in patients with pneumoconiosis,and statistically analyze key symptoms,so as to provide theoretical basis for improving the mental health and adaptability of patients to a greater extent. Methods From June 2023 to June 2024,240 pneumoconiosis patients in a certain occupational disease prevention and treatment hospital in Guangdong Province were investigated using the perceived social support scale and the simplified version of the psychological resilience scale. SPSS 26.0 was used for descriptive statistics and one-way analysis,and R 4.3.2 software was used for the estimation of the network model and the calculation of related indexes. Results The results of the perceived social support and psychological resilience network showed that there was the strongest correlation between "C2（dealing withanything） and P4（family emotional help and support）","C3（positively facing the problem） and P8（discussing difficult problem with family）",with edge weight values of 0.091 and 0.075,respectively. P9（Sharing moods with friends） was the node with the highest centrality of strength in the network,at 1.509.P11（family assistance in making judgements） had the highest strength of bridges at 0.215. In the network,the accuracy of the edge weights was high,and the stability coefficient of the expected influence of the nodes was 4.38,which was within an acceptable range. Conclusion P9（sharing mood with friends） is the most core node of the network,and P11（family assistance in making judgements） is the key bridge node of the network. Targeting these key nodes as the main target may greatly improve patients' mental health and adaptability,and enhance their resilience and recovery in coping with the disease.

Key words: Pneumoconiosis, Perceived social support, Psychological resilience, Network analysis

中图分类号:

R181.2

王美昌, 张欢, 刘齐芬, 曾晓丽, 李静芝. 尘肺病患者领悟社会支持与心理韧性关系的网络分析. [J]职业与健康, 2025, 41(10): 1303-1308.

WANG Meichang, ZHANG Huan, LIU Qifen, ZENG Xiaoli, LI Jingzhi. Network analysis of the relationship between perceived social support and psychological resilience in patients with pneumoconiosis. [J]OCCUPATION AND HEALTH, 2025, 41(10): 1303-1308.

参考文献

[1] 毛翎,彭莉君,王焕强,等.尘肺病治疗中国专家共识(2024年版)[J].环境与职业医学,2024,41(1):1-21.
[2] 陈丽,苏林.自我效能管理模式对尘肺患者负面情绪及治疗依从性的影响[J].中国健康心理学杂志,2021,29(12):1824-1828.
[3] LI P W C,YU D S F,TAM S Y S.The lived experience of patients and family caregivers in managing pneumoconiosis[J].Qual Health Res,2021,31(9):1645-1656.
[4] LEE H M,LIU D Y,HSU H L,et al.Risk of depression in patients with pneumoconiosis:A population-based retrospective cohort study[J].J Affect Disord,2024,352:146-152.
[5] HAN B,YAN B,ZHANG J,et al.The influence of the social support on symptoms of anxiety and depression among patients with silicosis[J].Scientific World J,2014,2014(1):724804.
[6] SHABANI M,TAHERI-KHARAMEH Z,SAGHAFIPOUR A,et al.Resilience and spirituality mediate anxiety and life satisfaction in chronically Ill older adults[J].BMC Psychol,2023,11(1):256.
[7] SISTO A,VICINANZA F,CAMPANOZZI L L,et al.Towards a transversal definition of psychological resilience:A literature review[J].Medicina (Kaunas),2019,55(11):745.
[8] ISOKÄÄNTÄ S,HONKALAMPI K,KOKKI H,et al.Resilience and health-related quality of life in patients with pulmonary diseases receiving ambulatory oxygen therapy[J].BMC Pulm Med,2021,21(1):144.
[9] 尹淙禹,黎吉娜,叶曼,等.症状负担对诊断期肺癌患者心理痛苦的影响:社会支持和心理弹性的链式中介作用[J/OL].中国胸心血管外科临床杂志,2024:1-7.(2024-03-25)[2024-05-20].https://kns.cnki.net/knavi/journals/ZXYX/detail?uniplatform=NZKPT.
[10] 刘丹,石国兴,郑新红.论积极心理学视野下的心理韧性[J].心理学探新,2010,30(4):12-17.
[11] DAHLEM N W,ZIMET G D,WALKER R R.The Multidimensional scale of perceived social support:A confirmation study[J].J Clin Psychol,1991,47(6):756-761.
[12] YIN Y,LYU M,CHEN Y,et al.Self-efficacy and positive coping mediate the relationship between social support and resilience in patients undergoing lung cancer treatment:A cross-sectional study[J].Front Psychol,2022,13:953491.
[13] 蔡玉清,董书阳,袁帅,等.变量间的网络分析模型及其应用[J].心理科学进展,2020,28(1):178-195.
[14] BORGATTI S P,MEHRA A,BRASS D J,et al.Network analysis in the social sciences[J].Science,2009,323(5916),892-895.
[15] 中华人民共和国卫生部.尘肺病诊断标准:GBZ 70—2015[S].北京:人民卫生出版社,2015:1-10.
[16] 郑卫军,何凡.现况调查的样本量计算方法[J].预防医学,2020,32(6):647-648.
[17] BLUMENTHAL J A,BURG M M,BAREFOOT J,et al.Social support,type a behavior,and coronary artery disease[J].Psychosom Med,1987,49(4):331-340.
[18] 姜乾金. 领悟社会支持量表[J].中国行为医学科学,2001,10(10):41-43.
[19] CAMPBELL-SILLS L,STEIN M B.Psychometric analysis and refinement of the Connor-davidson Resilience Scale(CD-RISC):Validation of a 10-item measure of resilience[J].J Trauma Stress,2007,20(6):1019-1028.
[20] 叶增杰,阮小丽,曾珍,等.中文版10条目心理韧性量表在护生群体中的信效度分析[J].护理学报,2016,23(21):9-13.
[21] EPSKAMP S,BORSBOOM D,FRIED E I.Estimating psychological networks and their accuracy:A tutorial paper[J].Behav Res Methods,2018,50(1):195-212.
[22] GIJZEN M W M,RASING S P A,CREEMERS D H M,et al.Suicide ideation as a symptom of adolescent depression:A network analysis[J].J Affect Disord,2021,278:68-77.
[23] JONES P J,MA R,MCNALLY R J.Bridge Centrality:A network Approach to understanding comorbidity[J].Multivariate Behav Res,2021,56(2):353-367.
[24] 迟璐璐,钟文娟,刘丽明,等.急诊护士心理弹性与家庭功能和应对方式的相关性[J].中国健康心理学杂志,2021,29(2):240-245.
[25] 余志林,刘晓丽,余丹,等.湖南省农民工尘肺病患者健康相关生存质量分析[J].中国职业医学,2023,50(3):301-304,311.
[26] ELLINGTON L,CLAYTON M F,REBLIN M,et al.Communication among cancer patients,caregivers,and hospice nurses:Content,process and change over time[J].Patient Educ Couns,2018,101(3):414-421.
[27] 乔悦,段培蓓,王晓庆,等.173例晚期癌症患者家庭回避癌症沟通现状及影响因素分析[J].护理学报,2023,30(13):18-23.
[28] 李玉善,张欢欢,张娜.肺癌患者家庭回避癌症沟通现状调查及影响因素分析[J].中国临床护理,2023,15(3):170-173.
[29] WITTENBERG E,FERRELL B,GOLDSMITH J,et al.Family Caregiver communication tool:A new measure for tailoring communication with cancer caregivers[J].Psychooncology,2017,26(8):1222-1224.
[30] 罗岚,隋华杰,陈田林.尘肺病患者社会支持状况调查及建议[J].现代预防医学,2014,41(15):2758-2760.
[31] 吴媛,毕冰茜,景华,等.健康信念模式下尘肺患者自我管理水平及影响因素分析[J].贵州医药,2022,46(2):257-260.
[32] 刘秀芳,轩杰,房欣,等.煤工尘肺患者心理健康与社会支持调查及其相关性[J].中外医学研究,2022,20(29):91-94.
[33] 宋宇,张晋丽,陈忱,等.尘肺合并肺结核患者心理健康与社会支持相关性分析[J].中华肺部疾病杂志(电子版),2019,12(2):230-232.
[34] DIONNE-ODOM J N,EJEM D,WELLS R,et al.How family caregivers of persons with advanced cancer assist with upstream healthcare decision-making:A qualitative study[J].PLoS One,2019,14(3):e0212967.
[35] BECHTHOLD A C,AZUERO A,PUGA F,et al.What is most important to family caregivers when helping patients make treatment-related decisions:Findings from a national survey[J].Cancers(Basel),2023, 15(19):4792.