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Record W2112983908 · doi:10.5539/gjhs.v7n3p254

Relationship Between Family Functioning and Mental Health Considering the Mediating Role of Resiliency in Type 2 Diabetes Mellitus Patients

2014· article· en· W2112983908 on OpenAlexvenueno aff
Mostafa Bahremand, Alireza Rai, Mostafa Alikhani, Samira Mohammadi, Karoon Shahebrahimi, Parisa Janjani

Bibliographic record

VenueGlobal Journal of Health Science · 2014
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
FundersKermanshah University of Medical Sciences
KeywordsMental healthPsychological resilienceClinical psychologyPsychologyType 2 Diabetes MellitusFamily supportScale (ratio)Simple random sampleMedicineDiabetes mellitusPsychiatryEnvironmental healthPopulationPsychotherapist

Abstract

fetched live from OpenAlex

This study was aimed at describing the mediating role of resiliency in the relationship between family functioning and mental health in patients with type 2 diabetes mellitus. This descriptive research was a correlational study. A total of 225 individuals were chosen by simple random sampling technique from type 2 diabetic patients presented to diabetes care centers in Kermanshah in 2014 in Iran. The 12-item General Health Questionnaire (GHQ-12), the Family Assessment Device (FAD) and the Resilience Scale (CD-RISC) were used to collect the required data. The collected data were analyzed using the Pearson's correlation test and To study the mediating role of resiliency in family functioning and mental health interaction, the path analysis method was applied. The results showed that there is a relationship between family functioning, resilience and mental health. Resilience plays a mediating role between family functioning and mental health. Therefore, paying attention to resilience in patients may lead to improving mental health in diabetic patients.

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)0.004
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 score0.085
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.371
Teacher spread0.339 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

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