ArticleClinical psychology & psychotherapy
Manifestation and Measurement of Atypical Depression: A Scoping Review.
Article in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Atypical depression: state of the art and future perspectives.Frontiers in psychiatry · 2026Review
- Manifestation and Measurement of Atypical Depression: A Scoping Review.Clinical psychology & psychotherapyArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAtypical depression (AD) is one of the commonly experienced depressive subtypes and is predicted to become more prevalent despite the term 'atypical', implying that the condition is rare.
objectiveThis scoping review synthesises the evidence on the manifestation and measurement of AD.
designQuantitative studies published in English that mentioned atypical depression (and related terms) in adults were identified by searching the online databases CINAHL, MEDLINE Complete, PsycINFO, Scopus and Web of Science.
resultsA total of 4498 studies were screened, and data were extracted from 56 publications (N = 139,924). During the review process, five key areas were explored: (a) unique symptomatology, (b) prevalence, (c) group differences, (d) comorbidity and factors associated with AD and (e) the use of existing measures of AD. Mood reactivity and vegetative symptoms were identified as distinct features of the subtype. AD was more common among females and young adults and comorbid with various physiological and psychological conditions. Limited information is available regarding the associated social factors. Moreover, AD is measured using limited, non-standardised, and inconsistent approaches.
conclusionsAlthough the evidence confirms that AD is a distinct subtype of major depressive disorder (MDD), it is under-researched. Further research specifically focused on AD is now needed to gain a better understanding of psychosocial aspects of AD and develop psychometrically sound measures to enable accurate screening and diagnosis.
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