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Record W7038758873

The influence of social support on the relationship between posttraumatic stress disorder and comorbid mental disorders, suicidal behaviour and physical and mental health functioning

2012· dissertation· en· W7038758873 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsSocial supportPsychopathologyPosttraumatic stressMental healthComorbidityPoison controlSuicide prevention
DOInot available

Abstract

fetched live from OpenAlex

This study examined the influence of social support on the relationship between posttraumatic stress disorder and comorbid psychopathology, suicidal behaviour, and mental and physical health functioning in the general population. Data came from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) (N=34,653). Results showed a differential impact of posttraumatic stress disorder and social support depending on gender. For men, social support had a moderating effect, where social support had a greater influence on the prevalence of comorbid psychopathology for men with posttraumatic stress disorder compared to those without the disorder. In contrast, social support had an additive effect for women, where social support was associated with decreased psychopathology and posttraumatic stress disorder was associated with increased psychopathology. This study suggests that social support should be included in the treatment of men with posttraumatic stress disorder and encouraged among women regardless of mental disorder diagnosis.

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 score0.145
Threshold uncertainty score0.868

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 studies0.0010.000
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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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