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Record W2919839293 · doi:10.1176/appi.pn.2019.2a11

Study Sheds Light on Trajectory of Developing Bipolar Disorder

2019· article· en· W2919839293 on OpenAlexaboutno aff
Linda M. Richmond

Bibliographic record

VenuePsychiatric News · 2019
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBipolar disorderPsychiatryAnxietyPsychologyDepression (economics)PsychopathologyBipolar illnessFamily historyPrevalence of mental disordersClinical psychologyMedicineLithium (medication)Mania

Abstract

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Back to table of contents Previous article Next article Clinical and Research NewsFull AccessStudy Sheds Light on Trajectory of Developing Bipolar DisorderLinda M. RichmondLinda M. RichmondSearch for more papers by this authorPublished Online:28 Feb 2019https://doi.org/10.1176/appi.pn.2019.2a11AbstractAnxiety, sleep disorders, and/or major depression in young people whose parents have bipolar disorder may complicate early recognition and treatment. As many as 1 in 4 children who has a parent with bipolar disorder may go on to develop the disorder. A large prospective study published in AJP in Advance suggests that childhood sleep and anxiety disorders may be important predictors of the illness.Anne Duffy, M.D., and colleagues found that bipolar spectrum disorders developed in 25 percent of children who had one parent with bipolar disorder and that childhood sleep or anxiety disorders were more likely among those who developed it.“For clinicians, in order to accurately diagnose emerging psychiatric disorders, we need to take into account the developmental trajectory of emerging psychopathology as well as the family history of psychiatric illness,” lead study author Anne Duffy, M.D., a professor in the Department of Psychiatry at Queen’s University in Canada, told Psychiatric News. “Symptoms alone are not sufficient information to make a stable and accurate diagnosis.”The study included 279 “high-risk” participants (aged 5 to 25 years) who had one parent diagnosed with bipolar I or bipolar II disorder. The researchers categorized the high-risk participants into two groups, according to how their parents responded to lithium. Parents of the participants were considered to be “responsive to lithium” if they had no new recurrences over at least three years while on the medication; all others were considered nonresponsive to the medication. Also included in the study were 87 “comparison” participants—those with similar socioeconomic backgrounds from Ottawa schools whose parents had had no history of major psychiatric disorder.Participants were followed for up to 21 years, about 8 years on average for the high-risk group. All participants completed research assessments administered by a psychiatrist at baseline and about every year thereafter.The researchers observed bipolar spectrum disorders in 25 percent of the “high-risk” offspring, with an average age of onset of 21 years old, while about 11 percent of the group were diagnosed with psychotic spectrum disorders. Neither disorder was observed in the comparison group. The researchers found evidence that earlier age of onset of parental bipolar disorder was associated with an increased risk of mood disorder, including bipolar disorder and depression, in the offspring.The researchers found no difference in the prevalence of bipolar disorder among participants based on whether their parent responded to lithium; however, psychotic disorders manifested almost exclusively among the offspring of lithium-nonresponsive parents (20 percent compared with 1 percent).Individuals with childhood anxiety disorder or a sleep disorder were nearly twice as likely to develop a mood disorder, Duffy and colleagues found. Subthreshold depressive or manic symptoms were even more telling, and participants with such symptoms were 2.7 times more likely and 2.3 times more likely, respectively, to develop a mood disorder.“The implication is that clinically significant anxiety, mood, and sleep symptoms in children at confirmed familial risk for bipolar disorder identify an ultra-high-risk group that likely warrants closer surveillance and support,” the researchers wrote.The researchers diagnosed major depressive disorder almost exclusively among the high-risk offspring (33 percent of the high-risk group versus 5 percent of the comparison group). A similar pattern emerged for sleep disorders (23 percent of high-risk group versus none of the comparison group). Bipolar disorder typically unfolded in a progressive clinical sequence in individuals with familial risk, Duffy said. Depressive episodes were predominant early in the illness, especially among the offspring of individuals who responded to lithium.This study did not, however, find evidence to support a proposed pediatric bipolar subtype of illness in childhood characterized by chronic rapid fluctuating moodiness, irritability, neurodevelopmental disorder, and explosive temper. “This suggests this phenotype has nothing to do with bipolar disorder that persists into adulthood,” Duffy said.Overall the findings indicate the role that anxiety, sleep disorders, and major depression—especially with psychotic symptoms—may play in the development of bipolar disorder in young people with a familial risk. “Early clinical intervention and prevention efforts,” the researchers wrote, “should emphasize low-risk interventions addressing mood symptoms, anxiety and sleep disorders, and prevention of substance misuse.”The study was supported by a grant from the Canadian Institutes of Health Research. ■“The Emergent Course of Bipolar Disorder: Observations Over Two Decades From the Canadian High-Risk Offspring Cohort” can be accessed here. ISSUES NewArchived

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.275
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
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