The structure of mood and anxiety disorder symptoms in the perinatal period

焦虑 精神科 心理学 易怒 心情 产后 惊恐障碍 临床心理学 狂躁 双相情感障碍 怀孕 遗传学 生物
作者
Michelle L. Miller,Michael W. O’Hara
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:325: 231-239 被引量:3
标识
DOI:10.1016/j.jad.2022.12.111
摘要

The perinatal period is increasingly recognized as a vulnerable time for the development and exacerbation of psychiatric symptoms. Research has often focused on perinatal depression, with much less information on perinatal anxiety. This study examined the psychometric structure of all internalizing (anxiety and mood disorder symptoms) in the perinatal period. Participants were primarily community adults receiving prenatal care from an academic medical center (N = 246). Participants completed a structured clinical interview using the Interview for Mood and Anxiety Symptoms (IMAS) during pregnancy (28–32 weeks gestation) and the postpartum (6–8 weeks). Clinical interviews dimensionally assessed all current anxiety, mood, and obsessive-compulsive symptoms as well as lifetime psychiatric diagnoses. Confirmatory factor analyses identified three latent factors onto which psychiatric symptoms loaded: Distress (depression, generalized anxiety, irritability, and panic symptoms), Fear (social anxiety, agoraphobia, specific phobia, and obsessive-compulsive symptoms), and Bipolar (mania and obsessive-compulsive symptoms) in both pregnancy and the postpartum. The fit statistics of the models indicated adequate to good fit in both models. The IMAS is validated against the DSM-IV-TR rather than the DSM-5 and assessments of psychiatric symptoms were focused only on the current pregnancy. A three-factor model consisting of Distress, Fear and Bipolar latent factors was the best-fitting model in pregnancy and the postpartum period and showed stability across time. The structure of internalizing symptoms has important implications for future perinatal research and can be utilized to guide treatment by highlighting which psychiatric symptoms may be most similar during the perinatal period.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
yang发布了新的文献求助10
1秒前
1秒前
GingerF应助绒球小结叶采纳,获得50
4秒前
5秒前
xiaodai发布了新的文献求助10
5秒前
hsy完成签到,获得积分10
7秒前
科研通AI6.2应助Mike采纳,获得10
7秒前
吴未完成签到,获得积分10
7秒前
7秒前
ding应助许平平采纳,获得10
8秒前
9秒前
11秒前
entgegen完成签到,获得积分10
12秒前
12秒前
卷毛发布了新的文献求助10
14秒前
14秒前
绒球小结叶完成签到,获得积分20
15秒前
ll完成签到,获得积分10
15秒前
情怀应助发财采纳,获得10
16秒前
啦啦啦发布了新的文献求助10
17秒前
wz1666完成签到,获得积分10
18秒前
tk发布了新的文献求助10
19秒前
库里发布了新的文献求助10
19秒前
香蕉觅云应助赫凯采纳,获得10
19秒前
20秒前
小肉包脸发布了新的文献求助10
20秒前
大个应助dan1029采纳,获得10
21秒前
所所应助arniu2008采纳,获得10
22秒前
bkagyin应助刘厚麟采纳,获得10
22秒前
23秒前
23秒前
JamesPei应助六六采纳,获得10
23秒前
熹微完成签到,获得积分10
24秒前
26秒前
suorata发布了新的文献求助10
26秒前
顾矜应助lkkk采纳,获得10
26秒前
26秒前
橘子完成签到,获得积分20
28秒前
共享精神应助瘦瘦采纳,获得10
28秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6702289
求助须知:如何正确求助?哪些是违规求助? 8443831
关于积分的说明 18037074
捐赠科研通 5938884
什么是DOI,文献DOI怎么找? 2989422
邀请新用户注册赠送积分活动 1965385
关于科研通互助平台的介绍 1909406