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挪威的健康与福利:人口常态与社会梯度。

Health and wellbeing in Norway: Population norms and the social gradient.

机构信息

Department of Community Medicine, UiT, The Arctic University of Norway, 9037, Tromsø, Norway; Division of Health Services, Norwegian Institute of Public Health, Oslo, Norway; Centre for Health Economics, Monash University, Melbourne, Australia.

Department of Community Medicine, UiT, The Arctic University of Norway, 9037, Tromsø, Norway.

出版信息

Soc Sci Med. 2020 Aug;259:113155. doi: 10.1016/j.socscimed.2020.113155. Epub 2020 Jul 3.

Abstract

Measures of health-related quality of life are important in health technology assessments, and useful when analysing health inequalities across population sub-groups. This paper provides population norms on health and wellbeing in Norway based on two waves of a comprehensive health survey: Wave 6 of The Tromsø Study conducted in 2007/08 (N = 12,981) and Wave 7 conducted in 2015/16 (N = 21,083). By use of these data, the paper aims to provide new insight on how different measures of health and wellbeing, and different indicators for socio-economic position, will affect the magnitude of a reported social gradient in health. We apply validated multi-item instruments for measuring health and subjective well-being; the health state utility instrument EQ-5D, and the satisfaction with life scale, as well as a direct valuation of health on a visual analogue scale. We apply three indicators for socio-economic position; education, occupation and household income, each measured along four levels. After descriptive statistics, regression analyses are performed separately for men and women, adjusted for age, to explain the magnitude of the social gradient along each socio-economic indicator. The social gradient in health showed a consistent positive trend, along all three socio-economic indicators; it was strongest with income, and weakest with education. When health had been valued directly on a visual analogue scale, the gradient was steeper than when valued indirectly via the EQ-5D descriptive system. The social gradient in subjective well-being also showed consistent positive trends, except with education as the socio-economic indicator. We have shown that the magnitude of the social gradient critically depends on which socio-economic indicator is used, and whether health is being measured indirectly via the EQ-5D descriptive system or directly on a visual analogue scale. The strongest gradient in subjective well-being was observed with income as the socio-economic indicator.

摘要

健康相关生活质量的衡量标准在健康技术评估中很重要,在分析人口亚组的健康不平等方面也很有用。本文基于两项全面健康调查的两个波次提供了挪威健康和幸福感的人群常模数据:2007/08 年开展的特罗姆瑟研究第六波(N=12981)和 2015/16 年开展的第七波(N=21083)。本文利用这些数据旨在提供新的见解,说明健康和幸福感的不同衡量标准以及社会经济地位的不同指标将如何影响报告的健康社会梯度的幅度。我们使用了经过验证的多项目健康和主观幸福感衡量工具;健康状态效用工具 EQ-5D 和生活满意度量表,以及对视觉模拟量表上的健康进行直接评估。我们使用了三种社会经济地位指标;教育、职业和家庭收入,每个指标都分为四级。在描述性统计之后,我们分别针对男性和女性进行了回归分析,调整了年龄因素,以解释每个社会经济指标的健康社会梯度幅度。健康的社会梯度呈现出一致的正趋势,与所有三个社会经济指标均呈正相关;与收入的相关性最强,与教育的相关性最弱。当健康在视觉模拟量表上直接进行评估时,梯度比通过 EQ-5D 描述系统间接评估时更陡峭。主观幸福感的社会梯度也呈现出一致的正趋势,除了教育作为社会经济指标的情况。我们已经表明,社会梯度的幅度取决于所使用的社会经济指标,以及健康是通过 EQ-5D 描述系统间接衡量还是直接在视觉模拟量表上衡量。在收入作为社会经济指标的情况下,观察到主观幸福感的梯度最强。

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