中老年维持性血液透析患者体力活动能力相关因素探讨
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(1.空军军医大学护理系,西安710032;2.联勤保障部队第九六〇医院干部一科,济南250031;3.陕西中医药大学护理系,西安712046;4.西安交通大学医学部护理学系,西安 710061)

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R459.5; R473.2; R552

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陕西省重点研发计划一般项目(2022SF-077,2024SF-YBXM-191)


Related factors for physical capacity in middle-aged and elderly patients on maintenance hemodialysis
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(1.School of Nursing, Air Force Medical University, Xi′an 710032, China;2.First Department of Gerontology, No. 960.Hospital of PLA Joint Logistics Support Force, Jinan 250031, China;3.Faculty of Nursing, Shaanxi University of Chinese Medicine, Xi′an 710046, China;4.Department of Nursing, Xi′an Jiaotong University Health Science Center, Xi′an 710061, China)

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    摘要:

    目的 探讨中老年维持性血透患者体力活动(AP)能力现状及其影响因素。方法 选取2021年9月至2022年2月西安市4所三级甲等医院血液净化中心进行血液透析治疗的中老年终末期肾病患者,将符合纳入标准、排除标准的315例患者作为研究对象,使用自行设计的一般资料调查表和人类活动概况量表进行调查。采用描述性统计分析、单因素分析以及多元logistic回归分析患者的PA水平以及影响因素。采用SPSS 26.0软件进行数据分析。根据数据类型,组间比较采用独立样本t检验,Mann-Whitney U检验及χ2检验。结果 本研究共发放问卷315份,其中有效问卷305份(96.82%)。在最大活动得分分组中,低PA水平组2例(0.65%),中PA水平组210例(65.85%),活跃PA水平组93例(30.50%)。不同性别、年龄、文化程度、在职状况的患者,最大活动得分等级间的差异有显著统计学意义(P<0.05)。在校正活动得分分组中,低PA水平组89例(29.18%),中PA水平组180例(59.02%),活跃PA水平组36例(11.80%)。不同年龄、文化程度、在职状况、并发症个数、患糖尿病的患者,不同PA水平间差异有统计学意义(P<0.05)。以最大活动得分分级为因变量的回归模型中,年龄(OR=0.940,95%CI 0.910~0.969)、性别(OR=1.828,95%CI 1.042~3.206)、文化程度初中及以下(OR=0.485,95%CI 0.254~0.927)是PA影响因素(P<0.05);在以校正活动得分分级为因变量的回归模型中,年龄增长(OR=0.959,95%CI 0.924~0.995)、性别(OR=1.782,95%CI 1.050~3.028)、退休/病退(OR=0.379,95%CI 0.158~0.909)、患糖尿病(OR=0.573,95%CI -1.062~-0.050)、并发症个数为2个(OR=0.320,95%CI 0.128~0.800)是PA的影响因素(P<0.05)。结论 中老年血液透析患者的PA整体处于中等水平;性别、年龄、在职状况、并发症个数、是否患糖尿病是影响患者PA的因素。

    Abstract:

    Objective To explore the status quo and influencing factors for ability to perform physical activity (PA) in middle-aged and elderly patients on maintenance hemodialysis (MHD). Methods All the middle-aged and elderly patients with end-stage renal disease undergoing regular dialysis in the blood purification centers of four Class A tertiary hospitals in Xi′an from September 2021 to February 2022 were enrolled, and 315 of them who met our inclusion and exclusion criteria were finally subjected and served as the study objects. Self-made questionnaire and Human Activity Profile (HAP) scale were used to survey their general information and physical capacity. Descriptive statistical analysis, univariate analysis and multivariate logistic regression analysis were employed to analyze the PA levels of the patients and the influencing factors for the PA levels (low, medium and active). SPSS statistics 26.0 was used for statistical analysis. Intergroup comparison was performed using independent sample t test, Mann-Whitney U test or Chi-square test depending on data type. Results There were 305 (96.82%) valid questionnaires obtained from the 315 distributed ones. According to their maximum activity score (MAS), they were divided into low (two patients, 0.65%), moderate (210 patients, 65.85%) and active (93 patients, 30.50%) physical activity groups. Significant difference in MAS level was observed in the three physical activity groups among those with different ages, gender, education levels, employment status (P<0.05). Based on adjusted activity score (AAS), 89 patients were assigned in the low physical activity group (29.18%), 180 (59.02%) in the moderate, and 36 (11.80%) in the active physical activity group. Among the patients with different ages, education levels, employment status, number of comorbidities, and concomitant diabetes or not, statistical difference was found in PA level (P<0.05). In the regression model with MAS level as the dependent variable, age (OR=0.940,95%CI 0.910-0.969), gender (OR=1.828,95%CI 1.042-3.206), and education level of junior high school or below (OR=0.485,95%CI 0.254-0.927) were the influencing factors for PA (P<0.05). In the regression model with AAS level as the dependent variable, age (OR=0.959,95%CI 0.924-0.995), gender (OR=1.782,95%CI 1.050-3.028), retirement/sick retirement (OR=0.379,995%CI 0.158-0.909), diabetes mellitus (OR=0.573,95%CI -1.062--0.050), and number of comorbidities (OR=0.320,95%CI 0.128-0.800) were the influencing factors of PA (P<0.05). Conclusion PA is generally at a moderate level in middle-aged and elderly MHD patients. Gender, age, employment status, number of comorbidities, and having diabetes or not are factors affecting the PA level in the patients.

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俞会会,黄美,王静,李姗姗,吕爱莉,尼春萍.中老年维持性血液透析患者体力活动能力相关因素探讨[J].中华老年多器官疾病杂志,2024,23(4):256~261

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  • 收稿日期:2023-11-01
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  • 在线发布日期: 2024-04-23
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