文章摘要
王娘娣,杨 琳,刘克菊,郑绮雯,王凤卿.慢性心力衰竭患者生活质量与社会支持的关系及其影响因素分析[J].,2020,(14):2776-2780
慢性心力衰竭患者生活质量与社会支持的关系及其影响因素分析
The Relationship between Quality of Life and Social Support in Patients with Chronic Heart Failure and Analysis of Its Influencing Factors
投稿时间:2020-03-06  修订日期:2020-03-31
DOI:10.13241/j.cnki.pmb.2020.14.039
中文关键词: 慢性心力衰竭  生活质量  社会支持  影响因素
英文关键词: Chronic heart failure  Quality of life  Social support  Influencing factors
基金项目:广东省医学科学技术研究基金项目(A2016154)
作者单位E-mail
王娘娣 北京大学深圳医院干部保健科 广东 深圳 518036 liuxm5208@163.com 
杨 琳 北京大学深圳医院干部保健科 广东 深圳 518036  
刘克菊 北京大学深圳医院心理科 广东 深圳 518036  
郑绮雯 北京大学深圳医院干部保健科 广东 深圳 518036  
王凤卿 北京大学深圳医院干部保健科 广东 深圳 518036  
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中文摘要:
      摘要 目的:探讨慢性心力衰竭(CHF)患者生活质量与社会支持的关系及其影响因素。方法:选取我院于2019年1月~2020年5月期间收治的230例CHF患者纳入研究组,选取同期来我院行常规心血管体检的健康志愿者100例作为对照组。采用明尼苏达州心力衰竭生活质量问卷(MLHFQ)评价两组生活质量,选用社会支持评定量表对两组的社会支持进行评价。采用Pearson 相关性分析CHF患者生活质量与社会支持的相关性,采用单因素以及多因素Logistic回归分析CHF患者的生活质量的影响因素。结果:研究组的症状、体力、情绪、社会经济、总分均高于对照组(P<0.05)。研究组客观支持、个体对支持的利用度、主观支持、总分均高于对照组(P<0.05)。Pearson相关性分析结果表明,CHF患者生活质量总分与社会支持总分呈正相关(P<0.05)。单因素分析结果可知,CHF患者生活质量与年龄、性别、文化程度、日常生活能力、病程、心功能分级、主要照顾者身份、照顾者健康状况有关(P<0.05),而与婚姻状况、居住情况无关(P>0.05)。多因素Logistic回归分析结果显示:年龄、文化程度、日常生活能力、主要照顾者身份及照顾者健康状况为CHF患者生活质量的影响因素(P<0.05)。结论:CHF患者的生活质量与社会支持密切相关,且年龄、文化程度、日常生活能力、主要照顾者身份及照顾者健康状况为CHF患者生活质量的影响因素,临床医护人员应采取有针对性的干预措施以提高CHF患者的生活质量。
英文摘要:
      ABSTRACT Objective: To explore the relationship between quality of life and social support in patients with chronic heart failure (CHF) and its influencing factors. Methods: 230 patients with CHF who were admitted to our hospital from January 2019 to May 2020 were included in the study group. 100 healthy volunteers who had routine cardiovascular physical examination in our hospital in the same period were selected as the control group. The quality of life of the two groups was evaluated by Minnesota heart failure quality of life questionnaire, and the social support of the two groups was evaluated by social support rating scale. Pearson correlation analysis was used to analyze the correlation between quality of life and social support in patients with CHF. Single factor and multivariate Logistic regression were used to analyze the influencing factors of quality of life in patients with CHF. Results: The symptoms, physical strength, emotion, social economy and total scores of the study group were higher than those of the control group (P<0.05). Objective support, individual utilization of support, subjective support and total scores of the study group were higher than those of the control group (P<0.05). Pearson correlation analysis showed that the total score of quality of life and social support in patients with CHF were positively correlated (P<0.05). The results of single factor analysis showed that the quality of life of patients with CHF were related to age, gender, education level, ability of daily life, course of disease, classification of heart function, identity of main caregivers and health status of caregivers (P<0.05), but not to marital status and living status (P>0.05). The results of multivariate Logistic regression analysis showed that age, education level, ability of daily life, identity of main caregivers and health status of caregivers were the influencing factors of quality of life of patients with CHF (P<0.05). Conclusion: The quality of life of patients with CHF is closely related to social support, and age, education level, ability of daily life, identity of main caregivers and health status of caregivers are the influencing factors of the quality of life of patients with CHF. Clinical medical staff should take targeted interventions to improve the quality of life of patients with CHF.
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