Department of Public Health and Clinical Medicine, Division of Family Medicine and Umeå Centre for Gender Studies - Medicine; Research Programme Challenging Gender, Umeå University, SE-901 85 Umeå, Sweden.
Public Health. 2009 Oct;123(10):689-93. doi: 10.1016/j.puhe.2009.09.010. Epub 2009 Oct 23.
Although research has consistently shown a higher prevalence of depression among women compared with men, there is a lack of consensus regarding explanatory factors for these gender-related differences. The aim of this paper was to analyse the scientific quality of different gender-related explanatory models of depression in the medical database PubMed.
Qualitative and quantitative analyses of PubMed articles.
In a database search in PubMed for 2002, 82 articles on gender and depression were selected and analysed with qualitative and quantitative content analyses. In total, 10 explanatory factors and four explanatory models were found. The ISI Web of Science database was searched in order to obtain the citation number and journal impact factor for each article.
The most commonly used gender-related explanatory model for depression was the biomedical model (especially gonadal hormones), followed by the sociocultural and psychological models. Compared with the other models, the biomedical model scored highest on bibliometric measures but lowest on measures of multifactorial dimensions and differences within the group of men/women.
The biomedical model for explaining gender-related aspects of depression had the highest quality when bibliometric methods were used. However, the sociocultural and psychological models had higher quality than the biomedical model when multifactoriality and intersectionality were analysed. There is a need for the development of new methods in order to evaluate the scientific quality of research.
尽管研究一直表明女性的抑郁患病率高于男性，但对于这些性别差异的解释因素仍缺乏共识。本文旨在分析医学数据库 PubMed 中不同性别相关抑郁解释模型的科学质量。
对 PubMed 文章进行定性和定量分析。
在 PubMed 中对 2002 年进行数据库搜索，选择了 82 篇关于性别和抑郁的文章，并进行了定性和定量内容分析。共发现 10 个解释因素和 4 个解释模型。为了获得每篇文章的引文数量和期刊影响因子，还在 ISI Web of Science 数据库中进行了搜索。
最常用于解释抑郁性别相关方面的模型是生物医学模型（尤其是性腺激素），其次是社会文化和心理模型。与其他模型相比，生物医学模型在文献计量学指标上得分最高，但在多因素维度和男女群体内部差异的指标上得分最低。
当使用文献计量学方法时，用于解释抑郁性别相关方面的生物医学模型具有最高的质量。然而，当分析多因素性和交叉性时，社会文化和心理模型比生物医学模型具有更高的质量。需要开发新的方法来评估研究的科学质量。
