An invariant dimensional liability model of gender differences in mental disorder prevalence: evidence from a national sample.
An invariant dimensional liability model of gender differences in mental disorder prevalence: evidence from a national sample.
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DOI：
10.1037/a0024780
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发表时间：
2012-02
影响因子：
4.6
通讯作者：
Hasin DS
中科院分区：
文献类型：
--
作者：
Eaton NR;Keyes KM;Krueger RF;Balsis S;Skodol AE;Markon KE;Grant BF;Hasin DS
分类精神障碍的流行病学研究一致报告，性别差异存在于许多疾病的患病率，疾病往往是共病。能否建立一个多维多变量责任模型来阐明性别如何影响多种共病精神障碍？我们在全国酒精及相关疾病流行病学调查（NESARC; N = 43，093）中探讨了这种可能性。患病率的性别差异是系统性的，妇女表现出较高的比率情绪和焦虑症和男性表现出较高的比率反社会和物质使用障碍。接下来，我们调查了障碍共病的模式，发现维度内化（情绪和焦虑）-外化（反社会和物质使用）责任模型与数据拟合良好。这个模型是性别不变的，表明观察到的性别差异的流行率源于妇女和男子的不同的平均排名上潜在的内在和外在的责任尺寸。作为假设，女性表现出较高的平均水平的内化，而男性表现出较高的平均水平的外化。我们讨论了这些研究结果的意义，了解性别差异的精神病理学和分类和干预。
Epidemiological studies of categorical mental disorders consistently report that gender differences exist in many disorder prevalence rates, and that disorders are often comorbid. Can a dimensional multivariate liability model be developed to clarify how gender impacts diverse, comorbid mental disorders? We pursued this possibility in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 43,093). Gender differences in prevalence were systematic such that women showed higher rates of mood and anxiety disorders and men showed higher rates of antisocial and substance use disorders. We next investigated patterns of disorder comorbidity and found that a dimensional internalizing (mood and anxiety)-externalizing (antisocial and substance use) liability model fit the data well. This model was gender invariant, indicating that observed gender differences in prevalence rates originate from women and men's different average standings on latent internalizing and externalizing liability dimensions. As hypothesized, women showed a higher mean level of internalizing while men showed a higher mean level of externalizing. We discuss implications of these findings for understanding gender differences in psychopathology and for classification and intervention.
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DOI：
10.1080/10705519909540118
发表时间：
1999-01-01
影响因子：
6
作者：
Hu, Li-tze;Bentler, Peter M.
通讯作者：
Bentler, Peter M.
影响因子：
17.7
作者：
Hettema, JM;Neale, MC;Kendler, KS
通讯作者：
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影响因子：
4.6
作者：
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通讯作者：
Mcgue, Matt
影响因子：
6.6
作者：
KESSLER, RC;MCGONAGLE, KA;NELSON, CB
通讯作者：
NELSON, CB
影响因子：
4.5
作者：
Barrantes-Vidal, Neus;Ros-Morente, Agnes;Kwapil, Thomas R.
通讯作者：
Kwapil, Thomas R.