• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

女性重度抑郁症的预测:迈向综合病因模型

The prediction of major depression in women: toward an integrated etiologic model.

作者信息

Kendler K S, Kessler R C, Neale M C, Heath A C, Eaves L J

机构信息

Department of Psychiatry, Medical College of Virginia/Virginia Commonwealth University, Richmond.

出版信息

Am J Psychiatry. 1993 Aug;150(8):1139-48. doi: 10.1176/ajp.150.8.1139.

DOI:10.1176/ajp.150.8.1139
PMID:8328557
Abstract

OBJECTIVE

The authors develop an exploratory, integrated etiologic model for the prediction of episodes of major depression in an epidemiologic sample of women.

METHOD

Both members of 680 female-female twin pairs of known zygosity from a population-based register were assessed three times at greater than 1-year intervals. The last two assessments included a structured interview evaluation for presence of episodes of major depression, defined by DSM-III-R, in the preceding year. The final structural equation model contained nine predictor variables: genetic factors, parental warmth, childhood parental loss, lifetime traumas, neuroticism, social support, past depressive episodes, recent difficulties, and recent stressful life events.

RESULTS

The best-fitting model predicted 50.1% of the variance in the liability to major depression. The strongest predictors of this liability were, in descending order, 1) stressful life events, 2) genetic factors, 3) previous history of major depression, and 4) neuroticism. While 60% of the effect of genetic factors on the liability to major depression was direct, the remaining 40% was indirect and mediated largely by a history of prior depressive episodes, stressful life events, lifetime traumas, and neuroticism. The model suggested that at least four major and interacting risk factor domains are needed to understand the etiology of major depression: traumatic experiences, genetic factors, temperament, and interpersonal relations.

CONCLUSIONS

Major depression is a multifactorial disorder, and understanding its etiology will require the rigorous integration of genetic, temperamental, and environmental risk factors.

摘要

目的

作者建立了一个探索性的综合病因模型,用于预测女性流行病学样本中的重度抑郁发作。

方法

从一个基于人群的登记处选取680对已知合子性的女性双胞胎,对其进行了三次评估,间隔时间超过1年。最后两次评估包括对前一年是否存在由《精神疾病诊断与统计手册》第三版修订版(DSM-III-R)定义的重度抑郁发作进行结构化访谈评估。最终的结构方程模型包含九个预测变量:遗传因素、父母温暖度、童年时期父母离世、终生创伤、神经质、社会支持、过去的抑郁发作、近期困难以及近期应激性生活事件。

结果

拟合度最佳的模型预测了重度抑郁易感性中50.1%的方差。该易感性的最强预测因素按降序排列为:1)应激性生活事件,2)遗传因素,3)重度抑郁的既往史,4)神经质。虽然遗传因素对重度抑郁易感性的影响有60%是直接的,但其余40%是间接的,主要由既往抑郁发作史、应激性生活事件、终生创伤和神经质介导。该模型表明,至少需要四个主要且相互作用的风险因素领域来理解重度抑郁的病因:创伤经历、遗传因素、气质和人际关系。

结论

重度抑郁是一种多因素疾病,理解其病因需要对遗传、气质和环境风险因素进行严格整合。

相似文献

1
The prediction of major depression in women: toward an integrated etiologic model.女性重度抑郁症的预测:迈向综合病因模型
Am J Psychiatry. 1993 Aug;150(8):1139-48. doi: 10.1176/ajp.150.8.1139.
2
Toward a comprehensive developmental model for major depression in women.迈向女性重度抑郁症的综合发展模型。
Am J Psychiatry. 2002 Jul;159(7):1133-45. doi: 10.1176/appi.ajp.159.7.1133.
3
Stressful life events, genetic liability, and onset of an episode of major depression in women.女性生活中的应激事件、遗传易感性与重度抑郁发作的起始
Am J Psychiatry. 1995 Jun;152(6):833-42. doi: 10.1176/ajp.152.6.833.
4
Causal relationship between stressful life events and the onset of major depression.应激性生活事件与重度抑郁症发作之间的因果关系。
Am J Psychiatry. 1999 Jun;156(6):837-41. doi: 10.1176/ajp.156.6.837.
5
A longitudinal twin study of personality and major depression in women.一项关于女性人格与重度抑郁症的纵向双胞胎研究。
Arch Gen Psychiatry. 1993 Nov;50(11):853-62. doi: 10.1001/archpsyc.1993.01820230023002.
6
Major depressive disorder in a community-based twin sample: are there different genetic and environmental contributions for men and women?基于社区的双生子样本中的重度抑郁症:男性和女性的遗传和环境影响是否存在差异?
Arch Gen Psychiatry. 1999 Jun;56(6):557-63. doi: 10.1001/archpsyc.56.6.557.
7
Stressful life events and previous episodes in the etiology of major depression in women: an evaluation of the "kindling" hypothesis.生活应激事件及既往发作在女性重度抑郁症病因学中的作用:“点燃”假说的评估
Am J Psychiatry. 2000 Aug;157(8):1243-51. doi: 10.1176/appi.ajp.157.8.1243.
8
Validity of a diagnosis of lifetime major depression obtained by personal interview versus family history.通过个人访谈与家族病史得出的终生重度抑郁症诊断的有效性。
Am J Psychiatry. 1995 Nov;152(11):1608-14. doi: 10.1176/ajp.152.11.1608.
9
Clinical characteristics of major depression that predict risk of depression in relatives.预测亲属患抑郁症风险的重度抑郁症临床特征。
Arch Gen Psychiatry. 1999 Apr;56(4):322-7. doi: 10.1001/archpsyc.56.4.322.
10
Genetic risk, number of previous depressive episodes, and stressful life events in predicting onset of major depression.预测重度抑郁症发作的遗传风险、既往抑郁发作次数及应激性生活事件
Am J Psychiatry. 2001 Apr;158(4):582-6. doi: 10.1176/appi.ajp.158.4.582.

引用本文的文献

1
The mediating role of the big five personality traits in the relationship between self-efficacy and depressive symptoms among Chinese university students.大五人格特质在中国大学生自我效能感与抑郁症状关系中的中介作用
Front Psychiatry. 2025 Jul 17;16:1540216. doi: 10.3389/fpsyt.2025.1540216. eCollection 2025.
2
Characterizing the dynamics, reactivity and controllability of moods in depression with a Kalman filter.用卡尔曼滤波器刻画抑郁症中情绪的动态、反应性和可控制性。
PLoS Comput Biol. 2024 Sep 23;20(9):e1012457. doi: 10.1371/journal.pcbi.1012457. eCollection 2024 Sep.
3
Causality between neuroticism personality clusters and female reproductive diseases in European population: a two-sample bidirectional mendelian randomization study.
神经质人格簇与欧洲人群女性生殖疾病之间的因果关系:两样本双向孟德尔随机化研究。
BMC Womens Health. 2024 Sep 12;24(1):507. doi: 10.1186/s12905-024-03347-x.
4
The influence of media use degree on public depressive symptoms: mediating role of big five personality.媒体使用程度对公众抑郁症状的影响:大五人格的中介作用。
BMC Psychiatry. 2023 Aug 22;23(1):616. doi: 10.1186/s12888-023-05097-w.
5
Development of risk prediction models for depression combining genetic and early life risk factors.结合遗传和早期生活风险因素的抑郁症风险预测模型的开发。
Front Neurosci. 2023 Jul 18;17:1143496. doi: 10.3389/fnins.2023.1143496. eCollection 2023.
6
The default mode network and rumination in individuals at risk for depression.抑郁风险个体的默认模式网络与反刍。
Soc Cogn Affect Neurosci. 2023 Jun 12;18(1). doi: 10.1093/scan/nsad032.
7
Predicting Managers' Mental Health Across Countries: Using Country-Level COVID-19 Statistics.预测跨国经理的心理健康:使用国家层面的 COVID-19 统计数据。
Front Public Health. 2022 May 19;10:791977. doi: 10.3389/fpubh.2022.791977. eCollection 2022.
8
Maternal major depression disorder misclassification errors: Remedies for valid individual- and population-level inference.产妇重度抑郁症误诊错误:有效进行个体和群体水平推断的补救措施。
Brain Behav. 2022 Jun;12(6):e2614. doi: 10.1002/brb3.2614. Epub 2022 May 19.
9
Incidence and Risk Factors of Depressive Symptoms in Chinese College Students.中国大学生抑郁症状的发生率及危险因素
Neuropsychiatr Dis Treat. 2020 Oct 23;16:2449-2457. doi: 10.2147/NDT.S264775. eCollection 2020.
10
Genomic influences on self-reported childhood maltreatment.遗传因素对自我报告的儿童期虐待的影响。
Transl Psychiatry. 2020 Jan 27;10(1):38. doi: 10.1038/s41398-020-0706-0.