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中文题名:

 中国中老年糖尿病患者抑郁现状及影响因素研究    

姓名:

 杨姐林    

学号:

 20192014109    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 1004    

学科名称:

 公共卫生与预防医学    

学生类型:

 硕士    

学位类型:

 学术学位    

学位年度:

 2022    

学校:

 石河子大学    

院系:

 医学院    

专业:

 公共卫生与预防医学    

研究方向:

 卫生经济与卫生政策    

第一导师姓名:

 李小菊    

第一导师单位:

 石河子大学    

完成日期:

 2022-05-25    

答辩日期:

 2022-05-25    

外文题名:

 Study on the depression status and influencing factors of middle-aged and elderly diabetic patients in China    

中文关键词:

 糖尿病 ; 抑郁 ; 影响因素 ; 路径分析    

外文关键词:

 Diabetes ; Depression ; Influencing factor ; Pathways analysis    

中文摘要:
<p align="left"> 目的:</p> <p align="left"> 基于健康社会决定因素的理论框架和心理应激理论,分析中国中老年糖尿病患者合并抑郁现况,比较糖尿病患者存在不同严重程度抑郁的影响因素,探讨影响因素之间的作用路径及强度,分析血糖控制和自评健康对抑郁的中介影响作用,从而为制定相应的心理健康干预措施提供参考依据。</p> <p> 方法:</p> <p> 本研究数据来自中国健康与养老追踪调查数据库(China Health and Retirement Longitudinal Survey,CHARLS),根据纳排标准建立中国中老年糖尿病患者抑郁分析数据库。采用SPSS22.0软件进行一般统计学描述,计数资料用相对数表示,计量资料用(<em>`</em><em>c</em><em>&plusmn;s</em>)表示,采用<em>&chi;<sup>2</sup></em>检验、无序多分类Logistic回归探讨中老年糖尿病患者抑郁严重程度的影响因素。采用Pearson、Spearman相关性分析探讨研究变量与抑郁得分之间的相关性,采用Mplus8.0软件进行路径分析,进一步探讨影响因素之间的作用路径。</p> <p> 结果:</p> <p> 本研究以健康社会决定因素的理论框架为基础,根据模型及行动理论框架对研究变量进行选择,主要从个体的基本情况、生活方式、医生上门监测频率和患者血糖控制知晓率、个体患病情况和患者自我感知状态等方面来分析中老年糖尿病患者抑郁的主要影响因素,得到的结果如下:</p> <p> 1.本研究共纳入中老年糖尿病患者1743人,抑郁自评得分为(9.47&plusmn;7.09)分,共检出抑郁740人(42.5%),其中轻度抑郁患者335人(19.2%),中度抑郁患者229人(13.1%),重度抑郁患者176人(10.1%)。</p> <p> 2.中国中老年糖尿病患者抑郁影响因素的单因素分析结果显示,以抑郁严重程度分组,结合健康社会决定因素的理论框架,在个体的人口社会学特征(性别、受教育程度、婚姻状况、年收入),生活方式(是否喝酒、运动时长、睡眠时长),个体患病情况(是否使用胰岛素、血糖监测频率、血糖控制情况、买药花费、合并其他慢性病数量),血糖控制知晓率,自我感知状态方面(自评健康状况、有疼痛困扰),不同组之间差异具有统计学意义。</p> <p> 3.多因素分析结果表明与无抑郁的患者相比,结合健康社会决定因素的理论框架,从个体的基本情况而言,受教育程度为文盲(OR=1.745,95%CI:1.012~3.007)、小学(OR=1.858,95%CI:1.182~2.921)、初中(OR=1.660,95%CI:1.038~2.654)、没有收入(OR=1.650,95%CI:1.160~2.349),生活方式方面睡眠不足6h(OR=1.442,95%CI:1.051~1.979),个体患病情况方面不知道血糖控制情况(OR=1.641,95%CI:1.175~2.291),自我感知状态方面自评健康为不知道(OR=3.128,95%CI:1.571~6.227)及不好(OR=1.915,95%CI:1.162~3.157)、有一点疼痛困扰(OR=1.515,95%CI:1.100~2.086)、有很多疼痛困扰(OR=2.076,95%CI:1.404~3.070)的患者更容易发生轻度抑郁;而在合并其他慢病个数为1个时(OR=0.648,95%CI:0.422~1.127),合并慢性病种类数量越少,越不容易抑郁。</p> <p> 与无抑郁的患者相比,结合健康社会决定因素的理论框架,从个体的基本情况而言,女性(OR=2.062,95%CI:1.397~3.043),没有收入(OR=1.551,95%CI:1.004~2.390),个人生活方式方面不常喝酒(OR=2.779,95%CI:1.571~4.910)、睡眠不足6h(OR=1.560,95%CI:1.062~2.290),个体患病情况方面血糖控制较差(OR=1.949,95%CI:1.156~3.280)、过去12个月没有血糖监测(OR=1.846,95%CI:1.149~2.960)、使用胰岛素(OR=1.742,95%CI:1.151~2.630),自我感知状态方面自评健康为不知道(OR=14.159,95%CI:5.626~35.640)及不好(OR=3.619,95%CI:1.613~8.110)、有很多疼痛困扰(OR=2.707,95%CI:1.692~4.330)的患者更容易发生中度抑郁;而在睡眠时长为6-8小时(OR=0.500,95%CI:0.279~0.890)、合并其他慢性病个数为1个(OR=0.537,95%CI:0.322~0.890)、2个(OR=0.617,95%CI:0.400~0.953)、3个(OR=0.594,95%CI:0.369~0.950),睡眠时长较长,合并慢性病数量越少时,越不容易抑郁;</p> <p> 与无抑郁的患者相比,结合健康社会决定因素的理论框架,从个体的基本情况而言,女性(OR=2.436,95%CI:1.505~3.943)、受教育程度为文盲(OR=3.473,95%CI:1.039~5.883)、没有收入(OR=1.796,95%CI:1.021~3.159)及收入低于1万元(OR=2.090,95%CI:1.249~3.500),个人生活方式方面没有运动(OR=1.737,95%CI:1.065~2.832)、睡眠不足6h(OR=2.217,95%CI:1.354~3.630),个人患病情况方面不知道血糖控制情况(OR=1.958,95%CI:1.012~3.007),自我感知状态方面自评健康为不知道(OR=22.290,95%CI:7.032~70.650)及不好(OR=3.670,95%CI:1.266~10.640)、有很多疼痛困扰(OR=3.885,95%CI:2.226~6.780)的患者更容易发生重度抑郁;而合并其他慢性病个数为1个(OR=0.408,95%CI:0.212~0.786)、2个(OR=0.521,95%CI:0.310~0.873),在知道2种控制血糖知晓情况时(OR=0.412,95%CI:0.187~0.906),合并慢性病数量越少,控制血糖知晓情况多时,越不容易抑郁。</p> <p> 4、中老年糖尿病患者各变量与抑郁得分的相关性分析。Pearson相关结果:年龄、睡眠时长、慢病个数、疼痛困扰得分、自评健康状况得分与抑郁得分之间存在着明显的相关;Spearman相关结果:性别、受教育程度、婚姻状况、收入分类、喝酒、运动时长、血糖监测频率、知晓控制血糖的锻炼方式、血糖控制情况与抑郁得分相关。</p> <p> 5、基于心理应激理论,中国中老年糖尿病患者抑郁影响因素作用路径分析结果表明,糖尿病患者在应激源(即基于健康社会决定因素的理论框架选择的研究变量)的刺激下,通过中介变量(即自评健康状况和血糖控制情况)的加强或减弱作用,从而出现抑郁的心理反应的过程。</p> <p> 以性别、年龄、文化程度、婚姻状况作为控制变量,收入、运动时长、睡眠时长、病程、慢性病个数、使用胰岛素、血糖监测频率、疼痛、血糖控制情况、自评健康状况对抑郁的发生有直接效应,其中自评健康对抑郁直接效应值最大为-0.246;自评健康状况和血糖控制情况作为中介变量,收入、运动时长、喝酒、慢性病数量、胰岛素使用、买药费用、疼痛、睡眠时长、血糖控制情况可通过影响自评健康状况进而对抑郁产生影响作用;病程、胰岛素使用、知晓控制血糖锻炼方式、疼痛、睡眠时长可通过影响血糖控制情况间接影响抑郁;也可通过影响血糖控制情况进而影响自评健康状况对抑郁产生间接影响作用。</p> <p align="left"> 结论:</p> <p align="left"> 1、中老年糖尿病患者抑郁的患病水平较高,需重点关注该人群的心理健康状况。</p> <p align="left"> 2、在健康社会决定因素的理论框架下,个人基本情况、生活方式、患者血糖控制知晓率、个人患病情况及患者自我感知方面均对糖尿病患者发生不同严重程度的抑郁有影响,其中女性、受教育程度低、收入水平较低、单身、睡眠时长不足6小时、运动时长低于2小时、合并其它慢性病种类越多、病程较长、买药费用过高、使用胰岛素治疗、没有进行血糖监测、不知道血糖控制情况及血糖控制较差、自评健康较差、因疼痛困扰的糖尿病患者更容易发生抑郁。</p> <p align="left"> 3、结合心理应激理论构建路径模型,重点关注中介变量对于应激反应的加强和(或)减弱作用,其中自评健康对抑郁的直接效应最大,且自评健康和血糖控制情况作为中介变量,其余变量可直接影响抑郁或者通过中介变量对抑郁的发生产生间接的效应。</p> <p align="left"> 4、医务工作者及社区卫生工作人员应加强对慢性病患者抑郁的筛查,加强患者健康教育,提高其疾病知识,保持与患者的良性沟通,为患者的治疗提供保障,降低患者对疾病的忧虑。</p> <p align="left"> 5、相关政府部门应加强对该问题的重视程度,建立相应的心理咨询渠道,使患者能够自主咨询,以期降低抑郁的发生。</p> <p> &nbsp;</p>
外文摘要:
<p> <span style="font-size: 12px;">Objective:</span></p> <p> Based on the theoretical framework of social determinants of health and psychological stress theory, this thesis analyzed the current status of depression in middle-aged and elderly diabetic patients in China, compared the influencing factors of depression of different severity in diabetic patients, explored the action path and intensity of the influencing factors, and analyzed blood sugar control. and self-related health as the mediating effects on depression, to provide a reference for formulating corresponding mental health intervention measures.</p> <p> Methods:</p> <p> The data of this study were obtained from the China Health and Retirement Longitudinal Survey (CHARLS) database, and a depression analysis database of Chinese middle-aged and elderly diabetic patients was established according to the inclusion and exclusion criteria. SPSS 22.0 software was used for general statistical description, enumeration data were expressed as relative numbers, and measurement data were expressed as (`x&plusmn;s), &chi;<sup>2</sup> test, and unordered multi-category logistic regression were used to explore the influencing factors of depression severity in middle-aged and elderly diabetic patients. Pearson and Spearman correlation analysis was used to explore the correlation between research variables and depression scores, and Mplus8.0 software was used to conduct path analysis to further explore the action paths between influencing factors.</p> <p> Result:</p> <p> Based on the theoretical framework of social determinants of health, this study selected research variables according to the model and action theory framework, mainly from the aspects of the individual&#39;s basic situation, lifestyle, patient awareness rate of glycemic control, and individual disease status, and patient&#39;s self-perceived state. The main influencing factors of depression in middle-aged and elderly diabetic patients were analyzed, and the results were as follows:</p> <p> 1. A total of 1743 middle-aged and elderly diabetic patients were included in this study. The depression self-rating score was (9.47&plusmn;7.09) points, a total of 740 (42.5%) were found to be depressed, including 335 (19.2%) patients with mild depression and 229(13.1%) patients with moderate depression and 176 (10.1%) patients with severe depression.</p> <p> 2. The results of the univariate analysis showed that grouped by depression severity, combined with the theoretical framework of social determinants of health, from the basic situation of individuals, gender, education level, marital status, annual income, lifestyle, whether drinking, exercise duration, Sleep duration, insulin use, frequency of blood glucose monitoring, glycemic control, drug purchase cost, number of other chronic diseases, awareness rate of glycemic control, self-related health status in terms of self-perceived status, and pain group The difference was statistically significant.</p> <p> 3. The results of multivariate analysis showed that compared with non-depressed patients, combined with the theoretical framework of social determinants of health, from the basic situation of the individual, the educational level was illiterate (OR=1.745, 95%CI: 1.012~3.007), primary school (OR=1.858, 95%CI: 1.182-2.921), junior high school (OR=1.660, 95%CI: 1.038-2.654), no income (OR=1.650, 95%CI: 1.160-2.349), lack of sleep in terms of lifestyle 6h (OR=1.442, 95%CI: 1.051-1.979), the individual&#39;s disease status did not know about glycemic control (OR=1.641, 95%CI: 1.175-2.291), and the self-related health was unknown in terms of self-perceived state ( OR=3.128, 95%CI: 1.571~6.227) and bad (OR=1.915, 95%CI: 1.162~3.157), a little pain trouble (OR=1.515, 95%CI: 1.100~2.086), a lot of pain Patients with distress (OR=2.076, 95%CI: 1.404-3.070) were more likely to have mild depression; when the number of other chronic diseases was 1 (OR=0.648, 95%CI: 0.422-1.127), the combined The lower the number of chronic diseases, the less likely it is to be depressed.</p> <p> Compared with non-depressed patients, combined with the theoretical framework of social determinants of health, from the basic situation of the individual, women (OR=2.062, 95%CI: 1.397-3.043), no income (OR=1.551, 95%CI: 1.004~2.390), infrequent alcohol consumption (OR=2.779, 95%CI: 1.571-4.910), lack of sleep for 6 hours (OR=1.560, 95%CI: 1.062-2.290) in terms of personal lifestyle, and better glycemic control in terms of individual disease Poor (OR=1.949, 95%CI: 1.156-3.280), no blood glucose monitoring in the past 12 months (OR=1.846, 95%CI: 1.149-2.960), insulin use (OR=1.742, 95%CI: 1.151-2.630), self-rated health as unknown (OR=14.159, 95%CI: 5.626-35.640) and not good (OR=3.619, 95%CI: 1.613-8.110), a lot of pain troubles (OR=2.707, 95%CI: 1.692-4.330) patients were more likely to have moderate depression; while the sleep duration was 6-8 hours (OR=0.500, 95%CI: 0.279-0.890), and the number of other chronic diseases was 1 (OR=0.537, 95%CI: 0.322~0.890), 2 (OR=0.617, 95%CI: 0.400~0.953), 3 (OR=0.594, 95%CI: 0.369~0.950), longer sleep duration, When the number of combined chronic diseases is less, depression is less likely;</p> <p> Compared with non-depressed patients, combined with the theoretical framework of social determinants of health, from the basic situation of the individual, women (OR=2.436, 95%CI: 1.505-3.943) and illiterate (OR=3.473, 95% CI: 1.039~5.883), no income (OR=1.796, 95%CI: 1.021~3.159) and income less than 10,000 rmb (OR=2.090, 95%CI: 1.249~3.500), no exercise in personal lifestyle ( OR=1.737, 95%CI: 1.065-2.832), lack of sleep for 6 hours (OR=2.217, 95%CI: 1.354-3.630), and do not know glycemic control in terms of personal illness (OR=1.958, 95%CI: 1.012 ~3.007), self-rated health is unknown (OR=22.290, 95%CI: 7.032-70.650) and not good (OR=3.670, 95%CI: 1.266-10.640), and there is a lot of pain (OR=3.885, 95%CI: 2.226-6.780) patients were more likely to have major depression; while the number of other chronic diseases was 1 (OR=0.408, 95%CI: 0.212-0.786), 2 (OR=0.521, 95%CI: 0.310-0.873), two kinds of awareness of glycemic control (OR=0.412, 95%CI: 0.187-0.906), the less the number of chronic diseases and the more awareness of glycemic control, the less likely to be depressed .</p> <p> Regarding the path analysis results, based on psychological stress theory, diabetic patients were stimulated by stressors (which research variables selected based on the theoretical framework of social determinants of health), through mediating variables ( self-rated health status and glycemic control) The process of strengthening or weakening the psychological reaction of depression. The result was as follows:</p> <p> 4. Correlation analysis of various variables with depression scores in middle-aged and elderly diabetic patients. Pearson correlation results: age, sleep duration, number of chronic diseases, pain distress score, self-related health status score, and depression score were significantly correlated; Spearman correlation results: gender, education level, marital status, income classification, alcohol consumption, duration of exercise, frequency of blood glucose monitoring, exercise to guide blood sugar control, and glycemic control were associated with depression scores.</p> <p> 5. Based on the theory of psychological stress, the results of the path analysis of the influencing factors of depression in Chinese middle-aged and elderly diabetic patients showed that under the stimulation of stressors (the research variables selected based on the theoretical framework of social determinants of health), diabetic patients were stimulated by mediator variables (self-related health status and glycemic control) to strengthen or weaken the effect, resulting in the process of psychological reactions to depression.</p> <p> The path analysis results showed that gender, age, educational level, and marital status were used as control variables, income, exercise time, sleep time, disease duration, number of chronic diseases, insulin use, blood sugar monitoring frequency, pain, glycemic control, and self-related of health. Status had a direct effect on the occurrence of depression, of which the maximum direct effect value of self-rated health on depression was -0.246; drug costs, pain, sleep duration, and glycemic control could affect depression by affecting self-related health status; disease duration, insulin use, diabetes education, pain, and sleep duration could indirectly affect depression by affecting glycemic control; Influence of glycemic control and self-related health status had an indirect effect on depression.</p> <p> Conclusion:</p> <p> 1. The prevalence of depression in middle-aged and elderly diabetic patients was relatively high, and it was necessary to focus on the mental health of this population.</p> <p> 2. Under the theoretical framework of social determinants of health, the basic conditions of individuals, lifestyle, patient awareness rate of glycemic control, individual disease conditions, and patient self-perception all have an impact on the occurrence of depression of different severity in diabetic patients. Female, low education level, low-income level, living alone, sleeping less than 6 hours, exercising less than 2 hours, more complicated with other chronic diseases, longer duration of disease, insulin use, no blood sugar monitoring, no people with diabetes who know their glycemic control status and their poor glycemic control, poor self-related health, and pain distress were more likely to develop depression.</p> <p> 3. Combined with psychological stress theory, a path model was constructed, focusing on the strengthening and (or) weakening effects of intermediary variables on the stress response, self-rated health has the greatest direct effect on depression, self-rated health, and glycemic control were used as mediating variables. Other variables could directly affect depression or indirectly affect depression through mediating variables.</p> <p> 4. Medical workers and community health workers should strengthen the screening of depression in patients with diabetes, strengthen patient health education, improve their disease knowledge, maintain healthy communication with patients, provide protection for patients&#39; treatment, and reduce patients&#39; anxiety about the disease.</p> <p> 5. Relevant government departments should pay more attention to the co-morbidity of diabetes and depression, and establish corresponding psychological consultation channels so that patients can self-consult to relieve depression symptoms.</p> <p> <strong>Key words:</strong> Diabetes; Depression; Influencing factor; Pathways analysis</p>
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