Health-related quality of life associated with chronic conditions in eight countries:: Results from the International Quality of Life Assessment (IQOLA) Project

Health-related quality of life associated with chronic conditions in eight countries:: Results from the International Quality of Life Assessment (IQOLA) Project
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DOI:
10.1023/b:qure.0000018472.46236.05
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发表时间:
2004-03-01
影响因子:
3.5
通讯作者:
Leplège, A
Leplège, A
中科院分区:
医学2区
文献类型:
--
作者:
Alonso, J;Ferrer, M;Leplège, A

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内容:很少有研究,也没有国际比较研究使用综合健康相关生活质量(HRQL)问卷调查多种慢性疾病对人群的影响。目的:评估8个国家普通人群中常见慢性病对HRQL的影响。设计:横截面邮件和访谈调查进行。参与者和设置:对八个国家(丹麦、法国、德国、意大利、日本、荷兰、挪威和美国)的成年普通人群的样本代表进行了评价。样本量从2031到4084不等。主要结局指标:获得自我报告的慢性病患病率(包括过敏、关节炎、充血性心力衰竭、慢性肺病、高血压、糖尿病和缺血性心脏病)、社会人口统计数据和SF-36健康调查。对患有和不患有选定慢性疾病的个体的SF-36量表和总分进行估计,并使用多变量线性回归分析进行国家间比较。对年龄、性别、婚姻状况、教育程度和SF-36给药方式进行了调整。结果:超过一半(55.1%)的合并样本报告至少有一种慢性疾病,30.2%有一种以上。高血压、过敏和关节炎是最常报告的疾病。缺血性心脏病对许多身体健康量表的影响值得注意,糖尿病对一般健康的影响,或关节炎对身体疼痛量表评分的影响也值得注意。关节炎、慢性肺病和充血性心力衰竭是对SF-36身体总分影响较大的疾病,而对于高血压和过敏,HRQL影响较低(与无慢性疾病的典型人群相比,第一组的偏差评分约为4分,第二组为1分)。慢性疾病对SF-36精神总结评分的影响差异较小(偏差评分范围为1和2)。结论:关节炎在研究国家的一般人群中具有最高的HRQL影响,这是由于身体量表上的高偏差评分和高频率相结合。慢性疾病对HRQL的影响在各国大致相似,尽管患病率存在重要差异。使用SF-36等HRQL指标应有助于更好地表征全球疾病负担。
Context: Few studies and no international comparisons have examined the impact of multiple chronic conditions on populations using a comprehensive health-related quality of life (HRQL) questionnaire. Objective: The impact of common chronic conditions on HRQL among the general populations of eight countries was assessed. Design: Cross-sectional mail and interview surveys were conducted. Participants and setting: Sample representatives of the adult general population of eight countries ( Denmark, France, Germany, Italy, Japan, the Netherlands, Norway and the United States) were evaluated. Sample sizes ranged from 2031 to 4084. Main outcome measures: Self-reported prevalence of chronic conditions ( including allergies, arthritis, congestive heart failure, chronic lung disease, hypertension, diabetes, and ischemic heart disease), sociodemographic data and the SF-36 Health Survey were obtained. The SF-36 scale and summary scores were estimated for individuals with and without selected chronic conditions and compared across countries using multivariate linear regression analyses. Adjustments were made for age, gender, marital status, education and the mode of SF-36 administration. Results: More than half (55.1%) of the pooled sample reported at least one chronic condition, and 30.2% had more than one. Hypertension, allergies and arthritis were the most frequently reported conditions. The effect of ischemic heart disease on many of the physical health scales was noteworthy, as was the impact of diabetes on general health, or arthritis on bodily pain scale scores. Arthritis, chronic lung disease and congestive heart failure were the conditions with a higher impact on SF-36 physical summary score, whereas for hypertension and allergies, HRQL impact was low ( comparing with a typical person without chronic conditions, deviation scores were around) 4 points for the first group and) 1 for the second). Differences between chronic conditions in terms of their impact on SF-36 mental summary score were low ( deviation scores ranged between) 1 and) 2). Conclusions: Arthritis has the highest HRQL impact in the general population of the countries studied due to the combination of a high deviation score on physical scales and a high frequency. Impact of chronic conditions on HRQL was similar roughly across countries, despite important variation in prevalence. The use of HRQL measures such as the SF-36 should be useful to better characterize the global burden of disease.