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Record W4404025068 · doi:10.22215/cujs.v3i1.4809

Informal Caregiver Burden and Potential Consequences

2024· article· en· W4404025068 on OpenAlexaff
Melissa Swift Doyle, Joy McLeod, Chris Davis

Bibliographic record

VenueCarleton undergraduate journal of science. · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsCarleton University
Fundersnot available
KeywordsCaregiver burdenPsychologyMedicineDementia

Abstract

fetched live from OpenAlex

Providing care to an adult loved one is often described as a burden, but it can also promote flourishing. The present study examined the extent to which state hope and emotion regulation strategies of positive reappraisal and emotional suppression might account for the relation of burden on both burnout and flourishing in a sample of 162 informal caregivers (54.8% women; Mage = 42.92, SDage = 13.22). It was hypothesized that state hope would mediate the relationship between caregiver burden and both outcomes, with state hope being positively related to flourishing and negatively related to burnout. It was also hypothesized that positive reappraisal and emotional suppression would mediate the relationship between caregivers’ burden and the outcomes, with positive reappraisal predicting greater flourishing and emotional suppression predicting greater burnout, as well as less flourishing. Participants were recruited from the Prolific crowd sourcing platform and had been pre-screened as informal and unpaid caregivers of an adult. They completed a battery of questionnaires that were all self-report in nature for the cross-sectional design. Results indicate that only state hope mediated the relationship between caregiver burden and the outcomes of burnout and flourishing. Contrary to what was hypothesized, emotion regulation strategy was not a mechanism in these relationships. State hope could be a potential avenue for intervention for informal caregivers in that it may impact caregiver burden as well as burnout and flourishing.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
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 head0.010
GPT teacher head0.278
Teacher spread0.268 · 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.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCarleton undergraduate journal of science.Same topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207