Toward the definition of a bipolar prodrome: dimensional predictors of bipolar spectrum disorders in at-risk youths.
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OBJECTIVE: The authors sought to assess dimensional symptomatic predictors of new-onset bipolar spectrum disorders in youths at familial risk of bipolar disorder ("at-risk" youths). METHOD: Offspring 6-18 years old of parents with bipolar I or II disorder (N=359) and community comparison offspring (N=220) were recruited. At baseline, 8.4% of the offspring of bipolar parents had a bipolar spectrum disorder. Over 8 years, 14.7% of offspring for whom follow-up data were available (44/299) developed a new-onset bipolar spectrum disorder (15 with bipolar I or II disorder). Measures collected at baseline and follow-up were reduced using factor analyses, and factors (both at baseline and at the visit prior to conversion or last contact) were assessed as predictors of new-onset bipolar spectrum disorders. RESULTS: Relative to comparison offspring, at-risk and bipolar offspring had higher baseline levels of anxiety/depression, inattention/disinhibition, externalizing, subsyndromal manic, and affective lability symptoms. The strongest predictors of new-onset bipolar spectrum disorders were baseline anxiety/depression, baseline and proximal affective lability, and proximal subsyndromal manic symptoms (p<0.05). While affective lability and anxiety/depression were elevated throughout follow-up in those who later developed a bipolar spectrum disorder, manic symptoms increased up to the point of conversion. A path analysis supported the hypothesis that affective lability at baseline predicts a new-onset bipolar spectrum disorder in part through increased manic symptoms at the visit prior to conversion; earlier parental age at mood disorder onset was also significantly associated with an increased risk of conversion. While youths without anxiety/depression, affective lability, and mania (and with a parent with older age at mood disorder onset) had a 2% predicted chance of conversion to a bipolar spectrum disorder, those with all risk factors had a 49% predicted chance of conversion. CONCLUSIONS: Dimensional measures of anxiety/depression, affective lability, and mania are important predictors of new-onset bipolar spectrum disorders in at-risk youths. These symptoms emerged from among numerous other candidates, underscoring the potential clinical and research utility of these findings.
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Timely diagnosis of schizophrenia and bipolar disorder is challenging due to the prodromal phase, in which patients do not yet meet full diagnostic criteria, and due to symptom overlap with other disorders such as anxiety and depression.
“However, timely diagnosis of schizophrenia and bipolar disorder is challenging due to the prodromal phase, in which patients do not yet meet full diagnostic criteria, and due to symptom overlap with other disorders such as anxiety and depression.”
From Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning (2025) · cites this paper as [6]
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References 48 · Cited by 212
- Authors
- Hafeman, D. M., Merranko, J., Axelson, D., Goldstein, B. I., Goldstein, T., Monk, K., Hickey, M. B., Sakolsky, D., Diler, R., Iyengar, S., Brent, D., Kupfer, D., & Birmaher, B.
- Affiliations
- Nationwide Children's Hospital (US)
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2016-07-01
- Volume
- 173
- Issue
- 7
- Pages
- 695-704
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC4930393
- OpenAlex
- W2287654992
- Cited by
- 212
- References
- 48
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 17 · 2023: 13 · 2022: 13 · 2021: 20 · 2020: 33 · 2019: 29 · 2018: 26 · 2017: 28 · 2016: 11 · 2014: 1
- FWCI
- 27.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH060952, T32MH018951)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Keywords
- bipolar spectrum disorders, at-risk youth, emotional lability, anxiety and depression, risk prediction
- MeSH terms
- Adolescent, Bipolar Disorder, Child, Factor Analysis, Statistical, Female, Follow-Up Studies, Humans, Male, Risk Assessment, Genetic Predisposition to Disease, Prodromal Symptoms
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