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Record W3159591829 · doi:10.1177/00048674211009619

Ageing with psychosis – Fifty and beyond

2021· article· en· W3159591829 on OpenAlexaff
Cherrie Galletly, Shuichi Suetani, Lisa Hahn, Duncan McKellar, David Castle

Bibliographic record

VenueAustralian & New Zealand Journal of Psychiatry · 2021
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersDepartment of Health and Ageing, Australian Government
KeywordsPsychosisPsychiatryPopulationPsychologyMedicineSchizophrenia (object-oriented programming)ObesityGerontologyClinical psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: While there is considerable current emphasis on youth and early psychosis, relatively little is known about the lives of people who live with psychotic disorders into middle age and beyond. We investigated social functioning, physical health status, substance use and psychiatric symptom profile in people with psychotic disorders aged between 50 and 65 years. METHODS: = 1478) across a range of measures. RESULTS: The older group contained more women and more people with affective psychoses compared to the younger group. They were also more likely to have had a later onset and a chronic course of illness. The older group were more likely to have negative symptoms but less likely to exhibit positive symptoms; they also had lower current cognition, compared to the younger group. Compared to the younger group, the older group were more likely to be divorced/separated, to be living alone and to be unemployed. They had substantially lower lifetime use of alcohol and illicit substances, but rates of obesity, metabolic syndrome and diabetes mellitus were higher. CONCLUSION: Our findings suggest that the characteristics of people with psychosis change significantly as they progress into the middle age and beyond. A better understanding of these differences is important in informing targeted treatment strategies for older people living with psychosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

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