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Record W7064775929

Close Others as Context: Understanding Treatment Attitudes in Anxiety and Related Disorders

2022· dissertation· en· W7064775929 on OpenAlexfundno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsAnxietySocial anxietyPopulationAccommodationExploratory researchExploratory factor analysisRegression analysisSample (material)
DOInot available

Abstract

fetched live from OpenAlex

Up to one-quarter of the North American population suffers from excessive anxiety and the associated impaired quality of life. While there is evidence that anxiety treatment is effective, it is underutilized, with most sufferers avoiding treatment or dropping out early. The Theory of Reasoned Action (Ajzen & Fishbein, 1980) points to social norms and treatment attitudes as major factors in one’s treatment interest and engagement. Of course, these two factors are not completely independent, and this thesis highlights their intersection through investigating how the behaviour of one’s social network relates to treatment attitudes. We focus on two types of behaviour that have been documented as important variables in anxiety maintenance and treatment: criticism and accommodation of anxiety symptoms. This series of studies is the first to investigate the relationships between criticism, accommodation, and treatment attitudes of adult anxiety sufferers themselves, as well as treatment attitudes of their close others. In study one, participants with excessive anxiety completed measures of treatment ambivalence, perceived criticism, and accommodation of symptoms. Regression analysis revealed that accommodation and criticism were both significantly positively related to treatment fears, even when therapy history, sample type (clinical/analogue), and demographic factors were controlled for. To explore this relationship in close others, a measure of close others’ treatment concerns needed to be developed; this was the focus of study two. Close others’ qualitative responses about their treatment concerns were coded to reveal seven major themes, which were then used to develop measure items. These items were administered to a large sample and exploratory factor analysis indicated four internally consistent factors – Adverse Reactions, Personal/Family Consequences, Lack of Commitment, and Ineffectiveness. The new 17-item measure (Treatment Concerns Questionnaire – Close Others, or TCQ-C) showed strong internal reliability, convergent validity, and discriminant validity. In study three, this measure, as well as measures of self-reported criticism and accommodation, were administered to a sample of close others of those with anxiety. Regression analysis demonstrated a similar finding to study one, in that close others’ treatment fears were significantly positively related to their criticism and accommodation, even when controlling for demographic variables. Altogether, this research adds to the literature on the deleterious effects of criticism and accommodation, but in the novel domain of treatment attitudes. That criticism and accommodation are related to increased treatment ambivalence is perhaps unsurprising when these behaviours are conceptualized as representing underlying negative attributions of sufferers. These findings suggest that while close others may be trying to help or support their loved ones through engaging in criticism and/or accommodation, these behaviours may in fact have the opposite effect in that they may discourage wellness efforts. In addition, while families with high amounts of criticism and/or accommodation are ideal candidates for system-focused interventions, these individuals may show the most treatment resistance. Thus, this work has clear clinical implications and suggests the need to take the social system into account when treating anxiety. Methods for addressing treatment concerns, criticism, and accommodation are discussed, as well as limitations of these studies and future directions for research.

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)0.006
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.007
Scholarly communication0.0060.007
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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
Published2022
Admission routes1
Has abstractyes

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