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Enregistrement W7161948949 · doi:10.82308/29698

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

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

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMedicine
ThématiqueSystemic Sclerosis and Related Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychosocialDisfigurementHuman physical appearanceIntervention (counseling)Connective tissue diseaseDiseaseSocial support

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,294
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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