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Record W4384524391 · doi:10.36315/2023inpact100

THE ROLE OF SOCIAL SUPPORT IN SEEKING MENTAL HEALTH CONSULTATIONS IN PEOPLE WITH MOOD DISORDERS

2023· article· en· W4384524391 on OpenAlexaffabout
Madison Herrington, David Speed, Lilly Both

Bibliographic record

VenuePsychological applications and trends · 2023
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMoodMental healthMood disordersPsychologySocial supportPsychiatryClinical psychologyPsychotherapistAnxiety

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the role of social support in seeking mental health consultations in people with mood disorders.Several researchers have suggested that social support increases help-seeking behaviours and mental health service use among individuals with depression and other related mood disorders.Other researchers suggest that social support increases one's use of general medical services but not for those with psychiatric illnesses requiring mental health consultations.Research in this area has examined the influence of social support in general; however, many of these studies have failed to examine the specific role of family support and friend support in seeking out mental health services in individuals with mood disorders.Moreover, researchers have mostly examined the influence of social support in seeking mental health services among young adults (i.e., college students) with mood disorders.Due to the discrepancies and gaps in the literature, the current study explored the relation between mood disorder and mental health consultation and whether this relation was moderated by friend and family support.Using data from the 2017/2018 Canadian Community Health Survey, we examined family satisfaction (i.e., family support), friend satisfaction (i.e., friend support), presence of a mood disorder (i.e., depression, bipolar disorder, mania, dysthymia), and mental healthcare access within the past 12 months (i.e., mental health consultations) in a large sample (N = 26,448) of individuals aged 12 to 80+ years.Data analysis was performed with Stata 15 and we used binary logistic regression.Having a mood disorder was found to significantly increase the likelihood of mental health consultations.In turn, family and friend satisfaction were found to be significant negative predictors of mental health consultation.Interaction terms between mood disorder and family satisfaction and mood disorder and friend satisfaction were examined.The linear effect of family satisfaction and friend satisfaction on mental health consultations for individuals with a mood disorder was positive, albeit non-significant.In contrast, the linear effect of family satisfaction and friend satisfaction on mental health consultations for individuals without a mood disorder was negative.These findings support that mood disorder works in conjunction with family and friend satisfaction to predict mental health consultations; in the absence of a mood disorder, higher satisfaction with family and with friends is associated with lower mental health consultations.Overall, further research should continue to investigate the influence of friend and family support on seeking mental health consultation in people with mood disorders.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.368
Teacher spread0.352 · 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 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
Published2023
Admission routes2
Has abstractyes

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