Grittner U, Bloomfield K, Kramer S, Kuntsche S, Gmel G
Institut für Biometrie und Klinische Epidemiologie, Charité -- Universitätsmedizin Berlin.
Gesundheitswesen. 2006 Feb;68(2):116-22. doi: 10.1055/s-2005-858999.
Numerous epidemiological studies have shown an association between social status and disease. In alcohol research, socio-economic status (SES) has been associated with drinking patterns, misuse and alcohol problems. SES is a construct which is usually built by using the indicators education, occupation or income separately or combined as a summary score. However, either approach involves theoretical assumptions about the explanatory value of a chosen indicator before the data have been analysed. In this study we have created a gender-specific metric social status indicator for Germany by using all three single SES-indicators (education, occupation, income). We used national representative data from a postal survey from 2000. The age range was restricted to 25 - 59 years. To construct the indicator we used optimal scaling (categorical principal components analysis). Therefore no theoretical assumptions were necessary about the hierarchical order of educational or occupational categories. The optimal-scaling approach allows variables to be scaled on different levels. We used education and occupation as the original categorical data and income (equivalent income) as continuous data. The result of the scaling is a two-dimensional solution. The first dimension explains that variance which could be described by status consistencies (corresponding levels for education, occupation and income). The second dimension of the indicator results from the low correlation between education and income for some individuals (status inconsistencies). The two-dimensional indicator yields differentiated results which would not be visible using a one-dimensional SES-indicator such as education or a summary score. With regard to drinking patterns there are clear differences between middle or low-educated women or men with higher incomes and other social groups. Middle or low-educated men or women with a high income are more likely to be heavy episodic drinkers than people in other social status groups.
众多流行病学研究表明社会地位与疾病之间存在关联。在酒精研究中,社会经济地位(SES)与饮酒模式、滥用及酒精问题相关。SES是一个概念,通常通过分别使用教育、职业或收入指标,或综合作为一个汇总分数来构建。然而,这两种方法在分析数据之前都涉及对所选指标解释价值的理论假设。在本研究中,我们通过使用所有三个单一的SES指标(教育、职业、收入)为德国创建了一个特定性别的社会地位衡量指标。我们使用了2000年邮政调查的全国代表性数据。年龄范围限制在25至59岁。为构建该指标,我们使用了最优尺度法(分类主成分分析)。因此,无需对教育或职业类别的层次顺序进行理论假设。最优尺度法允许变量在不同水平上进行尺度变换。我们将教育和职业作为原始分类数据,将收入(等效收入)作为连续数据。尺度变换的结果是一个二维解决方案。第一个维度解释了可以由地位一致性(教育、职业和收入的相应水平)描述的方差。该指标的第二个维度源于一些个体教育与收入之间的低相关性(地位不一致)。这个二维指标产生了不同的结果,而使用诸如教育这样的一维SES指标或汇总分数则无法看到这些结果。在饮酒模式方面,中等或低教育水平且收入较高的女性或男性与其他社会群体之间存在明显差异。中等或低教育水平且高收入的男性或女性比其他社会地位群体的人更有可能成为大量饮酒者。