Clinical Staging for Personality Disorders in Older Adults.

IF 2.9 4区 医学 Q2 CLINICAL NEUROLOGY Journal of Geriatric Psychiatry and Neurology Pub Date : 2025-01-01 Epub Date: 2024-05-29 DOI:10.1177/08919887241254467
Jeroen A P Conjaerts, Arjan C Videler, Roel Schepman, Iman Elfeddali, Erlene Rosowsky, Sebastiaan P J van Alphen
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Abstract

Objective: This scientific research aimed to investigate the feasibility of implementing a clinical staging (CS) model for personality disorders (PDs) in older adults. The CS model could provide valuable insights into the life course of personality pathology, prognosis, and treatment decisions for PDs in older adults.

Methods/design: The study employed an international Delphi methodology with three rounds and involved 21 experts.

Results: Consensus was achieved on 12 out of 17 statements, confirming the viability of a CS model for PDs in older adults. The proposed model incorporates the Alternative Model for PDs, criterion A, and integrates life course information, distinguishing between chronic PD, re-emergent PD, late-onset PD, and past PD.

Conclusion: The findings suggest that international experts support the implementation of a CS model for PDs in older adults, considering both the severity of personality functioning and the retrospective life course of PD expression.

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老年人人格障碍的临床分期。
研究目的这项科学研究旨在探讨对老年人人格障碍(PDs)实施临床分期(CS)模型的可行性。CS模型可为老年人人格病理学的生命历程、预后和治疗决策提供有价值的见解:研究采用了国际德尔菲法,共进行了三轮,有 21 位专家参与:结果:在 17 项陈述中,有 12 项达成了共识,证实了针对老年人肢端麻痹症的 CS 模型的可行性。所提议的模型纳入了帕金森病替代模型标准 A,并整合了生命过程信息,区分了慢性帕金森病、再发帕金森病、晚发帕金森病和既往帕金森病:研究结果表明,国际专家支持针对老年人的帕金森病实施 CS 模型,同时考虑人格功能的严重程度和帕金森病表现的回顾性生命历程。
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来源期刊
CiteScore
6.20
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: Journal of Geriatric Psychiatry and Neurology (JGP) brings together original research, clinical reviews, and timely case reports on neuropsychiatric care of aging patients, including age-related biologic, neurologic, and psychiatric illnesses; psychosocial problems; forensic issues; and family care. The journal offers the latest peer-reviewed information on cognitive, mood, anxiety, addictive, and sleep disorders in older patients, as well as tested diagnostic tools and therapies.
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