慢性病患者疾病不确定感及其与应对方式、社会支持的相关性研究
发布时间：2018-10-13 14:39
【摘要】：目的： 探明慢性病患者疾病不确定感的状况及水平，发现影响患者疾病不确定感的因素,确认慢性病患者应对方式和社会支持的状况,探讨慢性病患者疾病不确定感与应对方式、社会支持的相关性。 方法： 本研究便利选取2013年3月～8月在蚌埠医学院第一附属医院、阜阳市人民医院住院治疗的慢性病患者380例，进行问卷调查。问卷由自拟的一般人口学及相关资料问卷、中文版疾病不确定感量表(MUIS)、医学应对问卷(MCMQ)和社会支持评定量表（SSRS）组成。应用SPSS17.0统计软件进行数据分析,研究所采用的统计方法包括描述性分析、t检验或方差分析、Pearson相关性分析和多重线性回归分析。 结果： 1.慢性病患者疾病不确定感的得分为（91.87±11.008），处于中等水平，其中平均得分最高的为不可预测维度，，其次为不明确维度。 2.不同居住地、职业、文化程度、家庭月收入、性格类型、病程和自觉疾病严重程度组的疾病不确定感得分差异均有统计学意义(P0.05)，而不同年龄、性别、婚姻状况、民族、宗教信仰、支付方式组的疾病不确定感得分差异未发现有统计学意义(P0.05)。 3.回归分析表明：文化程度、家庭月收入、病程、性格类型和自觉疾病严重程度这五个变量是影响患者疾病不确定感水平的主要因素,联合解释了18.4%的变异。 4.应对方式中“屈服”维度的得分为（2.12±0.62）高于国内常模,且差异有统计学意义(P0.01)。 5.慢性病患者疾病不确定感总分与应对方式中的“面对”维度呈负相关(P0.05),与“屈服”维度呈正相关(P0.01)；不明确维度与“面对”维度呈负相关(P0.05),与“屈服”维度呈正相关(P0.05)；信息缺乏维度与“回避”维度、“屈服”维度呈正相关(P0.05),不可预测维度与“屈服”维度呈正相关(P0.01)。 6.患者社会支持总分为（37.68±6.30）高于一般人群社会支持平均分，且差异有统计学意义(P0.01)，疾病不确定感与社会支持呈负相关(r-0.155,P0.01)。 结论： 1.疾病不确定感在慢性病患者中普遍存在，且多数患者处于中等水平。 2.文化程度、家庭月收入、病程、性格类型和自觉疾病严重程度是慢性病患者疾病不确定感主要影响因素。 3.疾病不确定感水平与应对方式密切相关,指导其多采取有效的应对方式，可以显著的降低疾病不确定感。 4.与一般人群比较，慢性病患者有较高的社会支持，且社会支持高者，疾病不确定感的程度低，反之则高。
[Abstract]:Objective: to investigate the status and level of disease uncertainty in patients with chronic diseases, to find out the factors influencing the uncertainty of disease, and to confirm the coping style and social support of patients with chronic diseases. To explore the correlation between uncertainty and coping style and social support in patients with chronic diseases. Methods: from March to August 2013, 380 patients with chronic diseases who were hospitalized in the first affiliated Hospital of Bengbu Medical College and Fuyang people's Hospital were investigated by questionnaire. The questionnaire was composed of self-designed general demography and related data questionnaire, (MUIS), Medical coping questionnaire (MCMQ) and Social support rating scale (SSRS) in Chinese version. The statistical methods used in the study include descriptive analysis, t-test or variance analysis, Pearson correlation analysis and multiple linear regression analysis. Results: 1. The score of disease uncertainty in chronic disease patients was (91.87 卤11.008), which was at the middle level, with the highest score being the unpredictable dimension, followed by the uncertain dimension (2.2). There were significant differences in the scores of uncertainty of disease among groups of different residence, occupation, education, family income, personality type, course of disease and severity of conscious disease (P0.05), but different age, sex, marital status, nationality, There was no significant difference in the scores of disease uncertainty in religious belief and payment group (P0.05). The regression analysis showed that the five variables, such as education level, family monthly income, course of disease, personality type and severity of conscious disease, were the main factors affecting the patients' disease uncertainty, and the variation was 18.4%. The score of "yield" dimension in coping style was (2.12 卤0.62) higher than that in domestic norm, and the difference was statistically significant (P0.01). The total score of disease uncertainty was negatively correlated with "face" dimension in coping style (P0.05), positively with "yield" dimension (P0.01), negatively with "face" dimension (P0.05), and positively with "yield" dimension (P0.05). The information deficiency dimension was positively correlated with the "avoidance" dimension and the "yield" dimension (P0.05), while the unpredictable dimension was positively correlated with the "yield" dimension (P0.01). The total score of social support in patients was (37.68 卤6.30) higher than that in the general population, and the difference was statistically significant (P0.01). There was a negative correlation between disease uncertainty and social support (r -0.155, P 0.01). Conclusion: 1. Disease uncertainty is common among people with chronic diseases, and most patients are at moderate levels. 2. 2. Education level, monthly income of family, course of disease, personality type and severity of conscious disease are the main influencing factors of disease uncertainty in patients with chronic diseases. The level of disease uncertainty is closely related to coping style. Guiding them to adopt effective coping styles can significantly reduce disease uncertainty. 4. Compared with the general population, the patients with chronic diseases have higher social support, and the degree of disease uncertainty is lower in the patients with higher social support, but higher on the contrary.
【学位授予单位】：蚌埠医学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R473
本文编号：2268978
[Abstract]:Objective: to investigate the status and level of disease uncertainty in patients with chronic diseases, to find out the factors influencing the uncertainty of disease, and to confirm the coping style and social support of patients with chronic diseases. To explore the correlation between uncertainty and coping style and social support in patients with chronic diseases. Methods: from March to August 2013, 380 patients with chronic diseases who were hospitalized in the first affiliated Hospital of Bengbu Medical College and Fuyang people's Hospital were investigated by questionnaire. The questionnaire was composed of self-designed general demography and related data questionnaire, (MUIS), Medical coping questionnaire (MCMQ) and Social support rating scale (SSRS) in Chinese version. The statistical methods used in the study include descriptive analysis, t-test or variance analysis, Pearson correlation analysis and multiple linear regression analysis. Results: 1. The score of disease uncertainty in chronic disease patients was (91.87 卤11.008), which was at the middle level, with the highest score being the unpredictable dimension, followed by the uncertain dimension (2.2). There were significant differences in the scores of uncertainty of disease among groups of different residence, occupation, education, family income, personality type, course of disease and severity of conscious disease (P0.05), but different age, sex, marital status, nationality, There was no significant difference in the scores of disease uncertainty in religious belief and payment group (P0.05). The regression analysis showed that the five variables, such as education level, family monthly income, course of disease, personality type and severity of conscious disease, were the main factors affecting the patients' disease uncertainty, and the variation was 18.4%. The score of "yield" dimension in coping style was (2.12 卤0.62) higher than that in domestic norm, and the difference was statistically significant (P0.01). The total score of disease uncertainty was negatively correlated with "face" dimension in coping style (P0.05), positively with "yield" dimension (P0.01), negatively with "face" dimension (P0.05), and positively with "yield" dimension (P0.05). The information deficiency dimension was positively correlated with the "avoidance" dimension and the "yield" dimension (P0.05), while the unpredictable dimension was positively correlated with the "yield" dimension (P0.01). The total score of social support in patients was (37.68 卤6.30) higher than that in the general population, and the difference was statistically significant (P0.01). There was a negative correlation between disease uncertainty and social support (r -0.155, P 0.01). Conclusion: 1. Disease uncertainty is common among people with chronic diseases, and most patients are at moderate levels. 2. 2. Education level, monthly income of family, course of disease, personality type and severity of conscious disease are the main influencing factors of disease uncertainty in patients with chronic diseases. The level of disease uncertainty is closely related to coping style. Guiding them to adopt effective coping styles can significantly reduce disease uncertainty. 4. Compared with the general population, the patients with chronic diseases have higher social support, and the degree of disease uncertainty is lower in the patients with higher social support, but higher on the contrary.
【学位授予单位】：蚌埠医学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R473
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