恶性血液病患者社会疏离的潜在剖面分析  

Latent profile analysis of social isolation in patients with hematologic malignancy

作　　者：田汝香 李洁美[1] 卢菲[1] 张同同 赵宛露 李秋环[1] Tian Ruxiang;Li Jiemei;Lu Fei;Zhang Tongtong;Zhao Wanlu;Li Qiuhuan(Department of Hematology,Qilu Hospital of Shandong University,Jinan 250012,China)

机构地区：[1]山东大学齐鲁医院血液内科,济南250012

出　　处：《中国实用护理杂志》2024年第30期2342-2350,共9页Chinese Journal of Practical Nursing

摘　　要：目的探讨恶性血液病患者社会疏离的潜在剖面类别特点,并分析其相关影响因素,为改善患者的社交障碍,实施针对性的干预提供参考。方法采用横断面调查方法,以便利抽样法于2022年1月至2023年1月选取山东大学齐鲁医院住院治疗的恶性血液病患者作为调查对象。采用一般资料调查表、一般疏离感量表、社会支持评定量表进行调查。使用潜在剖面分析恶性血液病患者社会疏离的潜在类别,采用单因素分析和多元Logistic回归分析相关影响因素。结果共纳入195例调查对象,其中男108例,女87例,年龄(49.78±13.52)岁。恶性血液病患者一般疏离感量表得分为(43.21±6.09)分,社会支持评定量表得分为(42.52±6.77)分。恶性血液病患者社会疏离可分为3个不同潜在剖面类别,分别命名为疏离低风险型15.4%(30/195)、疏离中风险型68.2%(133/195)、疏离高风险型16.4%(32/195)。多元Logistic回归分析结果显示,年龄(OR=0.941,95%CI 0.894~0.990)、家庭人均月收入(OR=0.050,95%CI 0.004~0.657)、主要照顾者(父母)(OR=0.025,95%CI 0.003~0.227)、居住地(城镇)(OR=0.170,95%CI 0.039~0.749)、疾病类型(白血病)(OR=15.610,95%CI 2.973~81.979)、疾病类型(淋巴瘤)(OR=10.986,95%CI 2.032~59.413)是疏离中风险型的影响因素(均P<0.05)。年龄(OR=0.933,95%CI 0.880~0.988)、家庭人均月收入(OR=0.029,95%CI 0.002~0.525)、主要照顾者(父母)(OR=0.076,95%CI 0.006~0.900)、疾病类型(白血病)(OR=19.257,95%CI 2.580~143.723)、疾病类型(淋巴瘤)(OR=9.952,95%CI 1.290~76.763)、社会支持(OR=0.877,95%CI 0.786~0.980)是疏离高风险型的影响因素(均P<0.05)。结论恶性血液病患者社会疏离具有明显的分类特征,可分为3个潜在剖面。建议医务人员应根据不同类别患者采取针对性的社会和心理支持,改善患者的心理社会结局,并利用现有资源实施干预措施,以帮助其适应和重返社会。Objective To explore the latent profile and characteristics of social isolation in patients with hematologic malignancy,and to analyze its related influencing factors,and to provide reference for improving social phobia disorder in different patients and implementing targeted intervention.Methods This study was a cross-sectional survey.A convenient sampling method was used to select hematologic malignancy patients who were treated in Qilu Hospital of Shandong University from January 2022 to January 2023.General information questionnaire,the General Alienation Scale(GAS),and the Social Support Rating Scale(SSRS)were used for investigation.Latent profile was analyzed using the categories of social isolation in patients with hematologic malignancy,and univariate and multinomial logistic regression analysis were used to analyze relevant influencing factors.Results A total of 195 survey subjects were included,of which 108 males and 87 females,aged(49.78±13.52)years.The scores of GAS and SSRS were(43.21±6.09)and(42.52±6.77)respectively.The social isolation in patients with hematologic malignancy could be divided into 3 latent profiles,namely low-risk isolation 15.4%(30/195),medium-risk isolation 68.2%(133/195),and high-risk isolation16.4%(32/195).Multinomial Logistic regression analysis showed that age(OR=0.941,95%CI 0.894-0.990),percapita monthly income of families(OR=0.050,95%CI 0.004-0.657),primary caregivers(parents)(OR=0.025,95%CI 0.003-0.227),place of residence(town)(OR=0.170,95%CI 0.039-0.749),disease type(leukemia)(OR=15.610,95%CI 2.973-81.979),disease type(lymphoma)(OR=10.986,95%CI 2.032-59.413)were the influencing factors of medium-risk isolation(all P<0.05).Age(OR=0.933,95%CI 0.880-0.988),percapita monthly income of families(OR=0.029,95%CI 0.002-0.525),primary caregivers(parents)(OR=0.076,95%CI 0.006-0.900),disease type(leukemia)(OR=19.257,95%CI 2.580-143.723),disease type(lymphoma)(OR=9.952,95%CI 1.290-76.763),social support(OR=0.877,95%CI 0.786-0.980)were the influencing factors of high-risk isolation(a

关 键 词：血液病 社会疏离 潜在剖面分析 影响因素分析 

分 类 号：R473.73[医药卫生—护理学]