Younsi Moheddine
Department of Economics and Quantitative Methods, Higher Institute of Business Administration, University of Gafsa, Gafsa, Tunisia.
Value Health Reg Issues. 2015 Sep;7:54-66. doi: 10.1016/j.vhri.2015.07.004. Epub 2015 Nov 14.
To explore reporting differences related to sociodemographic characteristics affecting different health status indicators to assess their impact on the measurement of self-reported health status among the Tunisian population using the Tunisian version of the 12-item Short-Form Health Survey (SF-12).
Psychometric properties of the SF-12 were validated for a random sample of individuals (N = 3864) aged 18 years and older. The SF-12 summary scores were derived using the standard US algorithm. The principal-component analysis was used to confirm the hypothesized component structure of the SF-12 items.
"Known-subgroup" comparisons showed that the SF-12 discriminated well between groups of respondents on the basis of sex, age, education, and socioeconomic status, providing evidence of construct validity. The results suggest the existence of reporting differences related to the sociodemographic characteristics affecting the health status indicators. For a given latent health status, women and oldest people are more likely to report physical activity limitations and chronic diseases. Mental health problems are overreported by divorced people and underreported by the oldest people. In addition, highly educated and socially advantaged people more often report social activities limitations due to the problems of physical and mental health.
The findings showed that the Tunisian version of the SF-12 is a reliable and valid measure, and suggest its potential for measuring health-related quality of life in large-scale studies, specifically when overall physical and mental health are the outcomes of interest instead of the typical eight-scale profile.
探讨与社会人口学特征相关的报告差异，这些特征影响不同的健康状况指标，以评估其对使用突尼斯版12项简短健康调查问卷（SF-12）测量突尼斯人群自我报告健康状况的影响。
对年龄在18岁及以上的随机样本个体（N = 3864）验证SF-12的心理测量特性。使用标准的美国算法得出SF-12的汇总分数。主成分分析用于确认SF-12项目的假设成分结构。
“已知亚组”比较表明，SF-12在基于性别、年龄、教育程度和社会经济地位的受访者群体之间具有良好的区分能力，提供了结构效度的证据。结果表明存在与影响健康状况指标的社会人口学特征相关的报告差异。对于给定的潜在健康状况，女性和老年人更有可能报告身体活动受限和慢性病。离婚者过度报告心理健康问题，而老年人则报告不足。此外，受过高等教育和社会地位优越的人由于身心健康问题更常报告社交活动受限。
研究结果表明，突尼斯版的SF-12是一种可靠且有效的测量工具，并表明其在大规模研究中测量与健康相关的生活质量的潜力，特别是当总体身心健康是感兴趣的结果而非典型的八个量表概况时。
