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Record W3018598775 · doi:10.1080/13607863.2020.1758912

Need frustration and depressive symptoms in French older people: using a self-determination approach

2020· article· en· W3018598775 on OpenAlexaff
Claude Ferrand, Guillaume Martinent

Bibliographic record

VenueAging & Mental Health · 2020
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsDepressive symptomsModerationCompetence (human resources)PsychologyAutonomyResidenceClinical psychologyActivities of daily livingPsychiatryDemographySocial psychologyCognition

Abstract

fetched live from OpenAlex

Objectives To provide evidence of the relationship between basic psychological need frustration (BPNF) for autonomy, competence and relatedness, and depressive symptoms in French older people, and to explore the potential moderator effects of place of residence (home vs nursing home) on this relationship.Methods Partial least squares path modeling (PLS-PM) was used. A total of 410 French older people (212 women, 198 men, Mage = 77.13 years, SD = 9.19, age range: 60-98 years) voluntarily participated in the study and completed the measures of BPNF and depressive symptoms. Sociodemographic data were collected.Results Findings showed that for all the participants, competence and relatedness need frustration positively predicted depressive symptoms. More particularly, BPNF for relatedness significantly predicted depressive symptoms for older people living at home (β = .18, p < .05), whereas BPNF for competence significantly predicted depressive symptoms for both participants living at home (β = .25, p < .05) and in nursing homes (β = .34, p < .05). Among participants living at home, results showed that BPNF for competence significantly predicted depressive symptoms (β = .28, p < .05) across married participants, while BPNF for relatedness significantly predicted depressive symptoms (β = .27, p < .05) across participants living alone.Conclusion By focusing on BPNF and its relationship to depressive symptoms, this study suggests the importance of investigating further this concept, and alerts to the long-term consequences of frustration of competence and relatedness needs in older people.

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 score0.149
Threshold uncertainty score0.518

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 studies0.0000.000
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 head0.026
GPT teacher head0.325
Teacher spread0.299 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

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