Depression and mortality: Artifact of measurement and analysis?
Depression and mortality: Artifact of measurement and analysis?
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DOI：
10.1016/j.jad.2013.07.010
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发表时间：
2013-11-01
影响因子：
6.6
通讯作者：
Patterson, C. C.
中科院分区：
文献类型：
--
作者：
Appleton, K. M.;Woodside, J. V.;Patterson, C. C.
背景资料：以前的研究表明抑郁症，心血管疾病（CVD）发病率和死亡率之间存在各种关联，可能是由于用于测量抑郁症和分析关系的方法不同。该分析调查了抑郁症、CVD发病率（CVDI）和CVD死亡率（MCVD）、吸烟相关疾病（MSRC）和所有原因（MALL）之间的关系，在样本数据集中，使用经验证的问卷中的项目和使用来自较大问卷的因素分析的项目测量抑郁症，并基于连续数据和分组数据进行分析。数据从PRIME研究（N=9798人）抑郁症和10年心血管疾病的发病率和死亡率进行了分析，使用考克斯比例风险models.Results：使用连续的数据，抑郁症的措施导致抑郁症和死亡率（MCVD，MSRC，MALL）之间的正相关的出现。然而，使用分组数据，一个有效的抑郁测量和MCVD之间的关联，以及一个来自因子分析的抑郁测量和所有死亡率测量之间的关联都丢失了。局限性：低水平的抑郁，低数量的高抑郁个体和低数量的结果事件可能会限制这些分析，但水平是研究人群的常见水平。结论：这些数据表明抑郁症和死亡率之间可能存在关联，但检测这种关联取决于所使用的测量方法和分析方法。不同的研究结果的基础上的方法提出了明确的问题，说明和确定的关系。这里的差异主张在可能的情况下使用经过验证的量表，并建议通过因素分析和分组来反对过度减少。皇冠版权所有（C）2013由爱思唯尔B.V.出版保留所有权利。
Background: Previous research demonstrates various associations between depression, cardiovascular disease (CVD) incidence and mortality, possibly as a result of the different methodologies used to measure depression and analyse relationships. This analysis investigated the association between depression, CVD incidence (CVDI) and mortality from CVD (MCVD), smoking related conditions (MSRC), and all causes (MALL), in a sample data set, where depression was measured using items from a validated questionnaire and using items derived from the factor analysis of a larger questionnaire, and analyses were conducted based on continuous data and grouped dataMethods: Data from the PRIME Study (N=9798 men) on depression and 10-year CVD incidence and mortality were analysed using Cox proportional hazards models.Results: Using continuous data, both measures of depression resulted in the emergence of positive associations between depression and mortality (MCVD, MSRC, MALL). Using grouped data, however, associations between a validated measure of depression and MCVD, and between a measure of depression derived from factor analysis and all measures of mortality were lost.Limitations: Low levels of depression, low numbers of individuals with high depression and low numbers of outcome events may limit these analyses, but levels are usual for the population studied.Conclusions: These data demonstrate a possible association between depression and mortality but detecting this association is dependent on the measurement used and method of analysis. Different findings based on methodology present clear problems for the elucidation and determination of relationships. The differences here argue for the use of validated scales where possible and suggest against over reduction via factor analysis and grouping. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.