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Record W3092175028

A PERCEIVED SOCIAL SUPPORT MEDIATES BETWEEN COGNITIVE FUNCTIONING AND POSITIVE MENTAL HEALTH IN MIDDLE AGE ADULTS

2020· article· en· W3092175028 on OpenAlexaboutno aff
Alia Asmat

Bibliographic record

VenueJournal of Pakistan Psychiatric Society · 2020
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthPsychologySocial supportNonprobability samplingCognitionCognitive skillMediationClinical psychologyMiddle ageDevelopmental psychologyPsychiatryMedicinePopulationSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Objective: This research aims to measure the impact of cognitive functioning on positive mental health mediating role of social support among middle aged adults. Design: Correlational Design Place and Duration: Data was collected from February, 2018 to May, 2018 from different universities. Subject and Methods: 200 participants were selected by purposive sampling from district Faisalabad with age range of 35 to 55 years. Information was gather through Montreal Cognitive Assessment, Positive Mental Health Scale and Multidimensional Perceived Social Support. Results: Results of bivariate correlation revealed significant positive correlation between cognitive functioning and positive mental health among middle aged adults. While in mediation social support plays positive mediating role in relation between cognitive functioning and positive mental health. In gender differences results confirmed the significant difference in terms of cognitive functioning, social support and positive mental health were found. Conclusion: It can be concluded that perceived social support among middle age adults is linked with positive mental health and cognitive functioning.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.349
Teacher spread0.321 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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