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论文题名(中文):

 青少年1型糖尿病患者心理韧性模型的构建及初步应用    

作者:

 罗丹    

学号:

 B1811110186    

论文语种:

 chi    

学科名称:

 医学 - 护理学 - 临床护理学    

学生类型:

 博士    

学校:

 北京大学医学部    

院系:

 护理学院    

专业:

 护理学    

第一导师姓名:

 李明子    

论文完成日期:

 2021-03-05    

论文答辩日期:

 2021-05-25    

论文题名(外文):

 CONSTRUCTION AND PRELIMINARY APPLICATION OF RESILIENCE MODEL AMONG ADOLESCENTS WITH TYPE 1 DIABETES    

关键词(中文):

 心理韧性 ; 健康指标 ; 1型糖尿病 ; 青少年 ; 模型构建 ; 干预方案 ; 可行性分析    

关键词(外文):

 Resilience ; Health indicators ; Type 1 diabetes ; Adolescents ; Model construction ; Intervention Programme ; Feasibility Analysis    

论文文摘(中文):

目的:

以青少年1型糖尿病患者为研究对象,确定心理韧性与患者健康指标的关联;找寻影响患者心理韧性水平的关键变量,描述患者心理韧性的产生条件和作用过程;尝试构建青少年1型糖尿病患者心理韧性模型,在该模型指导下开发以心理韧性为切入点的健康干预方案,并初步验证方案的可行性。

方法:

第一部分量性研究使用横断面研究设计,便利抽取172例于2017年7月至2019年1月在江苏省南京市某三级甲等医院内分泌科门诊及病房常规复诊或参加该院举办的公益活动的青少年1型糖尿病患者。使用青少年糖尿病优势与韧性量表、糖尿病自我管理行为评定量表、5条目糖尿病痛苦量表、接受胰岛素治疗患者生活质量量表和一般情况问卷收集患者心理韧性、自我管理、糖尿病痛苦、生活质量、人口社会学和疾病相关资料。从医疗记录中调取患者近3个月的糖化血红蛋白,若无记录,则按照标准化流程采用高效液相色谱测定法检测。使用分层回归模型分析心理韧性与青少年1型糖尿病患者血糖控制、糖尿病痛苦和生活质量的关系,使用内嵌于SPSS 22.0的PROCESS宏程序检验自我管理在心理韧性和患者健康相关结局间的中介和调节作用。

第二部分量性研究使用横断面研究设计,便利抽取360例于2019年2月至2020年8月在江苏省南京市某三级甲等医院和儿童医院内分泌科门诊及病房常规复诊或参加由两所医院举办的公益活动的青少年1型糖尿病患者。使用青少年糖尿病优势与韧性量表、家庭亲密度和适应性量表、感知同伴支持量表、糖尿病特异性压力测量问卷、简易应对方式问卷和一般情况问卷收集患者心理韧性、家庭功能、同伴支持、同伴压力、应对方式、人口社会学和疾病相关资料。患者糖化血红蛋白的获取方法同第一部分。采用多元线性逐步回归模型分析人口社会学和疾病特征与青少年1型糖尿病患者心理韧性的关联,使用结构方程模型确定家庭功能、同伴支持、同伴冲突和应对方式对心理韧性的作用路径。

第三部分质性研究采用诠释现象学研究方法,在开展第二部分研究的过程中有目的地招募15名青少年1型糖尿病患者,实施面对面访谈。患者访谈和资料分析同步进行,按照Benner分析法的步骤分析资料,直至主题饱和。

第四部分研究是根据第一部分至第三部分研究结果构建青少年1型糖尿病患者心理韧性模型。基于心理韧性模型开发以心理韧性为切入点的健康干预方案,并通过专家会议法修改方案。对8名青少年1型糖尿病患者实施完善后的干预方案,评价方案的可行性。

结果:

第一部分量性研究结果:(1)172例青少年1型糖尿病患者的平均年龄为15.8 ± 3.6岁,平均糖化血红蛋白为8.0 ± 2.2%。(2)本研究中青少年1型糖尿病患者心理韧性平均值为41.4 ± 9.7。(3)分层回归分析结果显示,在控制人口学和疾病变量后,心理韧性与生活质量(β = 0.317, P < 0.001)呈正相关,与糖尿病痛苦(β = -0.273, P < 0.001)和糖化血红蛋白(β = -0.233, P = 0.002)间存在负向关联。(4)自我管理在心理韧性与血糖控制间起完全中介作用,在心理韧性与糖尿病痛苦和生活质量的关联中起调节作用。

第二部分量性研究结果:(1)360例青少年1型糖尿病患者的平均年龄为14.0 ± 3.3岁,平均糖化血红蛋白为8.1 ± 2.0%。(2)青少年1型糖尿病患者心理韧性的主要预测因子包括家庭亲密度与适应度、同伴支持、同伴压力和积极应对方式,上述4个变量共解释心理韧性变异的63%,其中家庭亲密度与适应度(β = 0.538, P < 0.001)、同伴支持(β = 0.149, P = 0.019)和积极应对方式(β = 0.250, P < 0.001)与患者心理韧性有正向关联。同伴压力(β = -0.163, P < 0.001)与心理韧性呈负相关。(3)积极应对方式在家庭功能和心理韧性间起部分中介作用,中介效应值为0.135,占家庭功能对心理韧性总效应的22.3%。(4)积极应对方式和同伴压力在同伴支持和心理韧性关系间起多重中介作用,中介效应值为0.151,占同伴支持对心理韧性总效应的50.34%。

第三部分质性研究结果:(1)15例青少年1型糖尿病患者的年龄为12.3-19.4岁,糖化血红蛋白为5.8-11.6%。(2)青少年1型糖尿病患者需要承受疾病管理负担、身体健康威胁、外在形象改变和情感社会孤立,上述压力源是心理韧性产生的必要前提。(3)青少年1型糖尿病患者心理韧性的作用过程为:患者动态评估压力源的严重性,在不同情境下采取情绪应对或问题解决应对来维持正常生活。其中情绪应对策略包括认知重构和情绪调节,问题解决应对包括营造外周安全环境、增强对疾病掌控感和主动寻求他人帮助。(4)心理韧性对青少年1型糖尿病患者的积极作用包括对未来充满希望、抗挫折能力增强,以及自我价值感提升。(5)青少年1型糖尿病患者心理韧性受到个体内部特征和外部环境资源的双重影响。保护性因素包括乐观、开朗、高自我效能感、内部归因和遇事冷静等内部优势,以及家庭资源、朋友和病友支持、医护支持和传统文化等外部资源;危险因素包括性格内向、不善交际、不喜倾诉等个人特质,以及家庭冲突、同学压力、医护同理心缺乏和传统文化等外部威胁。

第四部分模型构建及干预开发结果:(1)青少年1型糖尿病患者心理韧性模型由压力源、内外部影响因素、韧性过程和健康结局四部分组成,涵盖心理韧性的产生、发展和结果。(2)心理韧性训练项目共计6次干预,每次90分钟,既强调心理韧性的培养和提升,又关注自我管理知识的传递和补充。(3)心理韧性训练项目的可行性、真实性和可接受性均较高,6/8的参与者完成了所有的干预内容。

结论:

青少年1型糖尿病患者心理韧性与其血糖控制、心理健康和生活质量呈正相关,且该关联不受人口社会学和疾病特征的影响。自我管理在心理韧性与健康结局间发挥中介或调节作用。青少年患者心理韧性产生的前提条件是承受疾病相关压力,其韧性水平受到个体特征、家庭、同伴、医护和文化因素的多重影响。

青少年1型糖尿病患者心理韧性模型包括压力源、影响因素、韧性过程和健康结局四部分,可指导临床护理人员将提高心理韧性纳入糖尿病患者健康管理中。基于该模型开发的心理韧性训练项目可行性高,能够为今后在更大范围推广该项目以及应用到其他慢性病的患者管理中提供科学依据。

文摘(外文):

Aims:

To determine the relationship between resilience and health indicators among adolescents with type 1 diabetes; Besides, to explore the key variables that affect the resilience and to describe the process of resilience emergence and action; Moreover, to construct a resilience model for adolescents with type 1 diabetes. Finally, to develop the health intervention with resilience as the entry point, and initially verify the feasibility of the intervention.

Methods:

The first part of the study was a cross-sectional study. One hundred and seventy-two adolescents were recruited from the outpatient and inpatient in Endocrinology departments of a Public Hospital in Nanjing or from patients who participated in public welfare activities organized by the hospital through convenience sampling from July 2017 to January 2019. Adolescents’ resilience, self-management, diabetes distress, and quality of life were measured by the Diabetes Strengths and Resilience Measure for Adolescents, Diabetes Behavior Rating Scale, Problem Areas in Diabetes Scale-5, Insulin Therapy Related Quality of Life Measure, and General Condition Questionnaire, respectively. Demographic and disease-related characteristics were investigated by a self-designed information sheet. Patients’ glycosylated hemoglobin for the last 3 months was collected from medical records. If no relevant data were available, glycosylated hemoglobin was measured at the central laboratory of the site utilizing the High performance liquid chromatography. The association between resilience and glycemic control, diabetes distress, and quality of life was analyzed by the hierarchical regression model. The mediating and moderating effects of self-management on the association between resilience and glycemic control, diabetes distress, and quality of life were examined by the Process macro version 3.3 for SPSS 22.0.

 The second part of the study was also a cross-sectional study. A total of 360 adolescents were recruited from the outpatient and inpatient in the Endocrinology departments of a Public Hospital and a Children’s Hospital in Nanjing, or from patients who participated in public welfare activities organized by two hospitals through convenience sampling from February 2019 to August 2020. The Diabetes Strengths and Resilience Measure for Adolescents, Family Adaptability and Cohesion Evaluation Scales Ⅱ, Perceived Peer Support Scale, Diabetes Stress Questionnaire for Youths, Simplified Coping Style Questionnaire, and General Condition Questionnaire were administered to measure adolescents’ resilience, family function, peer support, peer stress, respectively, in addition to the demographic and disease-related characteristics. The patient’s glycosylated hemoglobin was obtained in the same way mentioned in the first part of this study. Multiple linear regression models were performed to explore the effects of demographic and disease characteristics on resilience among adolescents with Type 1 diabetes. The structural equation model was conducted to detect the effects of family function, peer support and stress, and coping styles on resilience.  

The third part of the study was a qualitative study with the hermeneutical phenomenological design. Face-to-face interviews were conducted with 15 adolescents with Type 1 diabetes, who were recruited purposefully during the process of second part of this study. Interviews and data analysis were carried out simultaneously, and the data were analyzed according to the suggestion of Benner. The new interview was unnecessary when the topic was saturated.

The fourth part of the study was to construct resilience model among padolescents with Type 1 diabetes  based on the quantitative and qualitative findings. The health intervention with resilience as the entry point was developed under the guidance of the resilience model and was improved through the expert meeting. We evaluated the feasibility of the intervention by conducting it with 8 adolescents with Type 1 diabetes.

Results:

Part I: (1) A total of 172 adolescents (average age: 15.8 ± 3.6 years) with Type 1 diabetes participated in this study. The average glycosylated hemoglobin was 8.0 (SD: 2.2%). (2) The average score of resilience among the participants was 41.44 (SD: 9.36). (3) The results of the hierarchical regression analysis showed that higher resilience was positively correlated with better quality of life (β = 0.317, P < 0.001), less diabetes distress (β = -0.273, P < 0.001) and lower glycosylated hemoglobin (β = -0.233, P = 0.002) after controlling for relevant demographic and disease variables. (4) Self-management completely mediated the association between resilience and glycemic control and moderated the correlation between resilience and diabetes distress, and quality of life.

Part II: (1) A total of 360 adolescents (average age: 14.0 ± 3.3 years) with Type 1 diabetes participated in this study. The average glycosylated hemoglobin was 8.1 (SD: 2.0%). (2) The main predictors of resilience among adolescents with Type 1 diabetes included family adaptability and cohesion, peer support, peer stress, and positive coping styles. The above 4 variables explained 63% of the variation in resilience. Family adaptability and cohesion (β = 0.538, P < 0.001), peer support (β = 0.149, P = 0.019), and active coping (β = 0.250, P < 0.001) had positive associations with resilience, while peer stress (β = -0.163, P < 0.001) was negatively associated with resilience. (3) Active coping partially mediated the association between family functioning and resilience, with a mediating effect of 0.135, which accounted for 22.3% of the total effect of family functioning on resilience. (4) The association between peer support and resilience was mediated by actively coping and peer stress. The mediating effects were 0.151, accounting for 50.34% of the total effect of peer support on resilience.

Part III: (1) The age and glycosylated hemoglobin of the 15 adolescents with Type 1 diabetes ranged from 12.3 to 19.4 years old and 5.8% to 11.6%, respectively. (2) Adolescents with type 1 diabetes need to be faced with the burden of disease management, physical health threats, changes in their body image, and emotional and social isolation. These stressors were necessary prerequisites for the generation of resilience. (3) The resilience process was described as the following: the adolescents with Type 1 diabetes dynamically evaluated the severity of the stressor and adopted emotional coping or problem-solving coping in different situations to maintain a normal life. Emotional coping strategies included cognitive restructuring and emotional regulation, and problem-solving coping included creating a safe peripheral environment, enhancing the sense of control, and actively seeking help from others. (4) The resilient adolescents with Type 1 diabetes were hopeful about the future and had high levels of frustration resistance, and self-worth. (5) The resilience of those adolescents was affected by both the internal characteristics and external environmental resources. Protective factors included personal strengths (e.g., optimism, cheerfulness, high self-efficacy, internal attribution, and calmness) and external resources (e.g., family resources, peer support, medical support, and traditional culture). Risk factors included personal traits such as introversion, poor communication, as well as unwillingness to talk, and external threats such as family conflict, classmate pressure, lack of empathy among medical staff, as well as traditional culture.

Part IV: (1) The resilience model of adolescents with Type 1 diabetes consists of four parts: stressors, internal and external influencing factors, resilience process, and health outcomes and the model described the generation, development, and outcomes of resilience. (2) The Adolescents Resilience Training Program for patients with Type 1 diabetes was developed with a total of 6 sessions, each of which lasted for 90 minutes. The program focuses not only on the transmission of self-management knowledge but also on the promotion of resilience. (3) The feasibility, authenticity, and acceptability of the Adolescents Resilience Training Program were high, and 6/8 of the participants completed all models of intervention.

Conclusions:

The resilience was positively correlated with better glycemic control, mental health, and quality of life among adolescents with Type 1 diabetes, and these associations were not affected by demographic and disease variables. Self-management played a mediating or mediating role between resilience and health outcomes. The prerequisite for the generation of resilience among adolescents was to undergo disease-related stress, and the level of resilience was affected by individual characteristics, family, peer, medical care, and cultural factors.

The resilience model of adolescent patients with Type 1 diabetes includes four parts—stressors, influencing factors, resilience process, and health outcome—which can guide clinical nurses to integrate resilience promotion into diabetes health management. The Adolescents Resilience Training Program is feasible and can provide evidence and suggestions for promoting this intervention in the clinical as well as applying it to the management of patients with other chronic diseases.

论文目录:
第一章 文献综述 1
1.1 心理韧性概念 1
1.2 心理韧性研究的起源和发展历程 2
1.3 心理韧性的理论研究 3
1.3.1 挑战与威胁的生物心理社会模型 3
1.3.2 心理韧性的生态模型 4
1.3.3 心理韧性框架 5
1.3.4 儿童时期慢性疾病适应模型 7
1.4 心理韧性的测量 9
1.4.1 CD-RISC心理韧性量表 9
1.4.2 成人心理韧性量表 9
1.4.3 青少年心理韧性量表 10
1.4.4 儿童青少年心理韧性量表 10
1.4.5 青少年糖尿病优势与韧性量表 10
1.5 心理韧性的实证研究 11
1.5.1 心理韧性与个体健康关系 11
1.5.2 心理韧性的影响因素 11
1.5.3 心理韧性促进健康的作用机制 13
1.5.4 以心理韧性为切入点的健康干预方案 14
1.6 国内外青少年1型糖尿病患者的主要健康问题 16
1.6.1 疾病控制不佳 16
1.6.2 心理行为问题显著 16
1.6.3 社会适应不佳 17
1.7 心理韧性在青少年1型糖尿病患者中的应用研究现状 17
1.7.1 心理韧性与青少年1型糖尿病患者健康指标关系 17
1.7.2 青少年1型糖尿病患者心理韧性的影响因素 18
1.7.3 青少年1型糖尿病患者心理韧性的干预研究 19
1.8 研究进展小结 25
第二章 前言 26
2.1 研究背景 26
2.2 科学问题、研究内容和目的 27
2.2.1 科学问题和研究内容 27
2.2.2 研究目的 28
2.3 研究意义 28
2.4 操作性定义 29
2.5 研究的概念框架 30
第三章 心理韧性与青少年1型糖尿病患者血糖控制及心身健康的关系研究 32
3.1 研究目的 32
3.2 研究方法 32
3.2.1 研究对象 32
3.2.2 抽样方法及样本量 32
3.2.3 评价指标与研究工具 32
3.2.4 资料收集方法 35
3.2.5 资料的统计分析 35
3.2.6 质量控制 36
3.2.7 伦理考量 37
3.3 研究结果 37
3.3.1 青少年1型糖尿病患者心理韧性现状 37
3.3.2 心理韧性与健康指标的关联 39
3.3.3 心理韧性与健康指标的关联机制--自我管理的中介与调节效应 45
3.4 讨论 54
3.4.1 青少年1型糖尿病患者的心理韧性得分情况 54
3.4.2 青少年1型糖尿病患者心理韧性是血糖控制的独立预测因子 55
3.4.3 青少年1型糖尿病患者心理韧性是糖尿病痛苦的独立预测因子 57
3.4.4 青少年1型糖尿病患者心理韧性是生活质量的独立预测因子 58
3.5 小结 60
第四章 基于内外环境的青少年1型糖尿病患者心理韧性影响因素研究 61
4.1 研究目的 61
4.2 研究方法 61
4.2.1 研究的概念框架 61
4.2.2 研究对象 62
4.2.3 抽样方法及样本量 62
4.2.4 评价指标与研究工具 62
4.2.5 资料收集 64
4.2.6 资料的统计分析 65
4.2.7 质量控制和伦理考量 66
4.3 研究结果 66
4.3.1 人口社会学和疾病变量与青少年1型糖尿病患者心理韧性的关联 66
4.3.2 家庭功能、同伴因素和应对方式与心理韧性的相关性分析 72
4.3.3 心理韧性影响因素测量模型的验证性因子分析 73
4.3.4 心理韧性影响因素结构方程模型建立 79
4.4 讨论 86
4.4.1 社会人口学特征与青少年1型糖尿病患者心理韧性的关联 86
4.4.2 家庭功能、同伴因素和个体应对方式与心理韧性的关联 87
4.5 小结 90
第五章 青少年1型糖尿病患者心理韧性体验的质性研究 91
5.1 研究目的 91
5.2 研究方法 91
5.2.1 研究对象 91
5.2.2 抽样方法和样本量 91
5.2.3 资料收集 92
5.2.4 资料整理与分析 93
5.2.5 质量控制 94
5.2.6 伦理考量 95
5.3 研究结果 95
5.3.1 受访者一般资料 95
5.3.2 青少年1型糖尿病患者病程中的心理韧性体验 97
5.3.3 青少年1型糖尿病患者心理韧性的影响因素 107
5.4 讨论 115
5.4.1 青少年1型糖尿病患者心理韧性的诱发条件 115
5.4.2 青少年1型糖尿病患者心理韧性的作用过程及结果 116
5.4.3 青少年1型糖尿病患者心理韧性的影响因素 118
5.5 小结 120
第六章 青少年1型糖尿病患者心理韧性模型构建及应用 122
6.1 研究目的 122
6.2 青少年1型糖尿病患者心理韧性模型的建立 122
6.2.1 模型建立的方法 122
6.2.2 结果 122
6.3 以心理韧性为切入点的青少年1型糖尿病患者健康干预方案的开发 127
6.3.1 基于青少年1型糖尿病患者心理韧性模型开发干预方案 127
6.3.2 专家小组会议确定干预方案 129
6.4 以心理韧性为切入点的青少年1型糖尿病患者健康干预方案的可行性分析 132
6.4.1 研究对象 132
6.4.2 研究方法 132
6.4.3 研究结果 135
6.5 讨论 141
6.5.1 青少年1型糖尿病患者心理韧性模型对临床护理的启示 141
6.5.2 青少年1型糖尿病患者心理韧性训练项目可行性高 143
第七章 结论与展望 146
7.1 全文总结 146
7.2 创新性 146
7.3 局限和展望 147
参考文献 148
附录 169
附录A 调查问卷 169
表A.1 一般情况调查表 169
表A.2 青少年糖尿病优势与韧性量表 170
表A.3 糖尿病自我管理行为评定量表(使用胰岛素泵的青少年版本) 171
表A.4 糖尿病自我管理行为评定量表(使用胰岛素笔的青少年版本) 173
表A.5 5条目糖尿病痛苦量表 175
表A.6 接受胰岛素治疗患者生活质量量表 176
表A.7 家庭亲密度与适应性量表 178
表A.8 感知同伴支持量表 180
表A.9 糖尿病特异性压力测量问卷--同伴压力维度 181
表A.10 简易应对方式问卷 182
附录B 青少年1型糖尿病患者心理韧性训练项目干预材料 183
致谢 185
北京大学学位论文原创性声明和使用授权说明 186
学位论文答辩委员会名单 187
个人简历、在读期间科研成果简介 188
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分类号:

 R473.58    

馆藏位置:

 医临时馆    

开放日期:

 2021-06-21    

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