Evaluating the psychometric properties of the attitudes towards depression and its treatments scale in an Australian sample
Notice bibliographique
Résumé
BACKGROUND: Individuals' attitudes towards depression and its treatments may influence their likelihood of seeking professional help and adherence to treatment when depressed. Objective measures, such as the Attitudes Towards Depression and its Treatments scale (ATDT), have been developed to assess such attitudes. The aims of this research were to test the reliability and validity of ATDT on an Australian sample who were not depressed during the study or who had previously been depressed, to explore the attitudes of the Australian public towards depression, and to compare these attitudes to those of a Canadian sample of people with depression. METHODS: A sample of 63 males and 140 females (mean age = 32.2 years, SD = 12.9 years) from Melbourne, Australia took part in this study. Fourteen of the males and 52 of the female participants (mean age = 35.4 years, SD = 13.2 years) stated that they had been previously diagnosed with depression. RESULTS: THE ATTITUDES OF THE AUSTRALIAN SAMPLE AND THE SUBSET OF THAT SAMPLE WHO HAD PREVIOUSLY EXPERIENCED DEPRESSION DIFFERED FROM THOSE OF THE CANADIAN OUTPATIENT SAMPLE: they were less ashamed of depression, more likely to take antidepressants and consider psychotherapy, and more likely to seek help from professionals or significant others in their lives. However, those in the Australian sample were more likely to report that antidepressants made them lose control, and they were less willing to consider electric shock as a treatment option for their depression. The internal reliability as measured by Cronbach's alpha was lower in the current study (0.63 and 0.57 for both the general public and the depressed Australian sample) than in the Canadian study. Confirmatory factor analysis failed to replicate the factor structure reported previously. LIMITATIONS: The Australian sample of this study may be underrepresentative due to the sampling methods used, and the high proportion of females should not be overlooked. CONCLUSION: Researchers should be vigilant when utilizing measures constructed in different countries. In comparison to the Canadians, the selected Australian sample had more positive attitudes towards depression and its available treatments. The ATDT scale was not a reliable and valid measure in this sample.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».