首页|天津市高血压患者生活质量及影响因素分析

天津市高血压患者生活质量及影响因素分析

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目的 了解天津市高血压患者生活质量及其影响因素,为临床决策提供依据以期提高高血压患者生活质量.方法 该研究基于"心血管病高危人群早期筛查与综合干预项目",纳入2017-2023年在天津市13个社区卫生服务中心及基层医院进行心血管病高危筛查的65 400人作为研究对象.生活质量采用EQ-5D-3L量表进行评估,该量表包含EQ-5D描述系统(健康效用值)和EQ-5D视觉模拟量表(VAS)两部分.应用SAS9.2软件及Stata 15.0软件进行单因素方差分析、x2检验.采用Tobit回归分析健康效用值的影响因素,采用OLS回归分析VAS的影响因素,采用有序多分类logistic逐步回归对5个维度的影响因素进行分析.结果 65 400名筛查对象中非高血压者40 044人(61.23%),高血压患者25 356人(38.77%).非高血压者健康效用值得分为(0.98±0.06)分,VAS得分为(82.63±10.07)分,高血压患者健康效用值得分为(0.96±0.08)分,VAS得分为(78.25±11.87)分,高血压患者健康效用值、VAS得分高于非高血压者,差异有统计学意义(P<0.05).高血压患者EQ-5D描述系统5个维度有困难(包括有些困难和极度困难)比例均高于非高血压者,差异均有统计学意义(P<0.05).Tobit 回归分析结果显示,高龄(β=-0.003,95%CI:-0.004~-0.003)、女性(β=-0.058,95%CI:-0.069~-0.048)、年收入超 5 万(β=-0.016,95%CI:-0.027~-0.006)、血脂异常(β=-0.060,95%CI:-0.073~-0.047)、肥胖(β=-0.014,95%CI:-0.022~-0.005)、糖尿病(β=-0.021,95%CI:-0.031~-0.011)、心血管疾病(β=-0.091,95%CI:-0.102~-0.080)者健康效用值较低,农民(β=0.018,95%CI:0.007~0.029)和饮酒者(β=0.015,95%CI:0.001~0.029)健康效用值较高.OLS回归分析结果显示,高龄(β=-0.058,95%CI:-0.076~-0.040)、女性(β=-0.824,95%CI:-1.165~-0.483)、高教育水平(β=-0.933,95%CI:-1.261~-0.604)、年收入超 5 万(β=-0.373,95%CI:-0.724~-0.022)、吸烟(β=-0.484,95%CI:-0.869~-0.098)、血脂异常(β=-3.337,95%CI:-3.788~-2.885)、肥胖(β=-0.639,95%CI:-0.933~-0.344)、糖尿病(β=-2.716,95%CI:-3.052~-2.380)、CVD(β=-4.911,95%CI:-5.286~-4.536)和慢性阻塞性肺疾病者(β=-3.441,95%CI:-6.576~-0.306)VAS 得分较低,共同居住(β=0.900,95%CI:0.365~1.436)、农民(β=1.220,95%CI:0.861~1.579)VAS 得分较高.有序多分类 logistic 逐步回归分析结果显示,CVD 对行动能力(OR=3.545,95%CI:3.124~4.023)、自我照顾(OR=5.872,95%CI:4.441~7.763)、日 常活动维度(OR=5.515,95%CI:4.531~6.713)影响显著,女性患者更容易出现疼痛或不适(OR=1.637,95%CI:1.526~1.757)与焦虑或抑郁(OR=1.983,95%CI:1.766~2.227).结论 高血压患者的生活质量较差,疼痛或不适维度问题显著,应重点关注高龄、女性、具有合并症的高血压患者.
Analysis on quality of life and influencing factors of hypertensive patients in Tianjin
Objective To understand the life quality and influencing factors of hypertensive patients in Tianjin,and provide the basis for clinical decision-making to improve the quality of life of hypertensive patients.Methods The study was based on the"Early Screening and Comprehensive Intervention Project for High-risk Groups for Cardiovascular Disease",the included 65 400 people screened for cardiovascular high-risk screening in 13 community health service centers and primary hospitals in Tianjin from 2017 to 2023 were selected as the subjects.The life quality was evaluated with EQ-5D-3L scale,which included two parts:EQ-5D describing system(health utility values)and EQ-5D Visual Analogue Scale(VAS).Analysis of variance test and x2 test were used to analyze the data,the used software was SAS 9.2 software and Stata 15.0 software.Tobit regression analysis for health utility values and OLS regression analysis for VAS scores were used to analyze the factors influencing the quality of life.The ordered multi-classification logistic stepwise regression was used to analyze the influencing factors of five dimensions.Results Among 65 400 subjects,non-hypertensive patients were 40 044 cases(61.23%),hypertensive patients were 25 356 cases(38.77%).The health utility score and VAS score of non-hypertensive patients were 0.98±0.06 and 82.63±10.07,respectively;the health utility score and VAS score of hypertensive patients were 0.96±0.08 and 78.25±11.87,respectively.The health utility score and VAS score of hypertensive patients were significantly higher than those of non-hypertensive patients(P<0.05).The proportion of difficulties(including some difficulties and extreme difficulties)in five dimensions of EQ-5D describing system among hypertensive patients was significantly higher than that of non-hypertensive patients(P<0.05).The results of the Tobit regression analysis showed that the health utility values of elderly(β=-0.003,95%CI:-0.004--0.003),female(β=-0.058,95%CI:-0.069--0.048),annual income>50 000 yuan(β=-0.016,95%CI:-0.027--0.006),dyslipidemia(β=-0.060,95%CI:-0.073--0.047),obesity(β=-0.014,95%CI:-0.022--0.005),diabetes mellitus(β=-0.021,95%CI:-0.031--0.011),cardiovasculardisease(β=-0.091,95%CI:-0.102--0.080)were lower;the health utility values of farmers(β=0.018,95%CI:0.007-0.029)and alcohol drinkers(β=0.015,95%CI:0.001-0.029)were higher.The results of the OLS regression analysis showed that VAS scores of elderly(β=-0.058,95%CI:-0.076--0.040),female(β=-0.824,95%CI:-1.165--0.483),high level of education(β=-0.933,95%CI:-1.261--0.604),annual income>50 000 yuan(β=-0.373,95%CI:-0.724--0.022),smoking(β=-0.484,95%CI:-0.869--0.098),dyslipidemia(β=-3.337,95%CI:-3.788--2.885),obesity(β=-0.639,95%CI:-0.933--0.344),diabetes(β=-2.716,95%CI:-3.052--2.380),CVD(β=-4.911,95%CI:-5.286--4.536)and chronic obstructive pulmonary disease(β=-3.441,95%CI:-6.576--0.306)were lower;the VAS scores of co-residence(β=0.900,95%CI:0.365-1.436),farmers(β=1.220,95%CI:0.861-1.579)were higher.The results of the ordered multi-classification logistic stepwise regression analysis showed that CVD had significant impact on mobility(OR=3.545,95%CI:3.124-4.023),self-care(OR=5.872,95%CI:4.441-7.763),daily activity dimension(OR=5.515,95%CI:4.531-6.713);female patients were more likely to present the pain/discomfort(OR=1.637,95%CI:1.526-1.757)and anxiety/depression(OR=1.983,95%CI:1.766-2.227).Conclusion The life quality of hypertensive patients is poor,and pain/discomfort dimension problems are significant.It should pay attention to the elderly,female and patients with complication.

HypertensionLife qualityEQ-5D-3LInfluencing factors

杨华、任丽斌、李坤萌、任珉、丛洪良、郑文龙、张迎怡

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天津市胸科医院,天津 300222

天津市疾病预防控制中心非传染病预防控制室,天津 300011

高血压 生活质量 EQ-5D-3L 影响因素

2024

中国慢性病预防与控制
中华预防医学会,天津市疾病预防控制中心

中国慢性病预防与控制

CSTPCD北大核心
影响因子:1.093
ISSN:1004-6194
年,卷(期):2024.32(12)