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Record W7161948949 · doi:10.82308/29698

Living with a visible difference: Assessing body image and appearance concerns in Scleroderma

2019· dissertation· en· W7161948949 on OpenAlexaboutno aff
Lisa Jewett

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialDisfigurementHuman physical appearanceIntervention (counseling)Connective tissue diseaseDiseaseSocial support

Abstract

fetched live from OpenAlex

People living with visible appearance differences, whether present from birth or acquired through injury or illness, often experience psychosocial and psychological challenges. These include negative self-perceptions such as low self-esteem, shame, body image dissatisfaction, and depression; as well as challenges related to social interactions such as fear of negative evaluation, social avoidance, and social anxiety. Systemic sclerosis, or scleroderma (SSc), is a rare, chronic, autoimmune connective tissue disease that leads to significant physical appearance changes, which have been linked to negative outcomes including body image dissatisfaction, social discomfort and anxiety, as well as general psychological distress. In order to advance research in this area, however, and support the design of adequate psychosocial interventions, more disease-specific patient-reported outcome measures related to body image concerns are needed. In addition, an increased understanding of how disease and sociodemographic factors are associated with these outcomes is required to inform intervention content. In order to address these gaps, four independent studies were conducted and included in this thesis. Study One involved the development and validation of a new patient-reported outcome measure of body concealment and avoidance behaviours specific to SSc, the Body Concealment Scale for Scleroderma (BCSS), including examination of its basic psychometric properties. Study Two constituted a replication of Study One, with the extension of determining the measurement equivalency of BCSS items across sex and age groups. The findings of this study replicated those of Study One and further demonstrated that BCSS scores can be compared and combined across females and males with SSc and those of different ages without concern that measurement differences influence results. Study Three examined the measurement equivalency of a commonly used measure of social discomfort and body image dissatisfaction relative to acquired disfigurements in SSc, the Satisfaction with Appearance Scale (SWAP), across language groups. Findings from this study enhanced existing psychometric evidence by showing that SWAP items do not function differently across English-and French-speaking Canadian SSc patients and that scores can be pooled across these language groups. Study Four explored the association of key sociodemographic variables with the presence of appearance concerns among patients living with SSc. Main findings from this study revealed that female patients had significantly higher odds of reporting appearance concerns than male patients and that older age was significantly associated with a reduction in the odds of reporting appearance concerns. There was no significant difference in the odds of reporting appearance concerns between Black and White patients, after accounting for the influence of sociodemographic and disease characteristics. Finally, women and men with SSc were more likely to report appearance concerns than members of the general population. In sum, the body of the presented research involved the creation of a new disease-specific patient-reported outcome measure and potentially useful clinical assessment tool of body concealment behaviours in SSc, including establishing its psychometric properties. This thesis also highlighted the importance of evaluating the measurement equivalency of body image questionnaires across diverse groups of patients with SSc and demonstrated differences in key sociodemographic and disease characteristics, such as sex, age, and presence of hand contractures, in the experiencing of body image concerns. Implications and future directions for research are discussed.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.294
Teacher spread0.278 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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