Response to the comments on “Depression and anxiety symptoms among Afghan war widows and their associated factors: A cross-sectional analytical study”
Notice bibliographique
Résumé
Dear Editor, We read the letter from the authors in response to our article (recently published in the December 12, 2024, issue of the Indian Journal of Psychiatry)[1] with interest. The authors were concerned about the study’s methodology and external validity. First, we agree with the authors’ comment that selecting study participants from healthcare settings is likely to introduce bias. However, we could not recruit our sample from community settings due to resource constraints and restrictions on community-based studies imposed by the Afghan government.[2] We reiterated the scope of the study in the limitations and conclusion sections. Second, we disagree with the authors’ comment that using prevalence rates from the suggested articles in our sample size calculation would have yielded more valid estimates. These studies focused on anxiety and depression symptoms in the general population rather than war widows.[3,4] Additionally, we would like to bring the authors’ attention to the publication dates of the suggested articles and our study timeline, as we began data collection in early 2023, which makes this comment less relevant. Third, as stated in the article, interviewers administered the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item Generalized Anxiety Disorder Scale (GAD-7). We chose to have interviewers administer the PHQ-9 and GAD-7 scales (rather than have participants self-rate the scale) because previous studies have raised concerns about participant literacy in low- and middle-income countries (LMICs).[5] Fourth, due to strict word limitations in a brief research article, we were unable to discuss methods in more detail. In response to the author’s comments, we categorized participants’ education into two main groups: literate (including those with primary education, religious education, and higher studies) and illiterate (those with no education). Similarly, we consolidated household income sources into two broad categories: regular (monthly salary and private employment) and irregular (all other income sources). Fifth, in the statistical analyses, all assumptions for binary logistic regression were tested and met. Finally, we agree with the authors that it is difficult to say how much of the depression and anxiety symptoms were due to the loss of a husband versus a product of living in a post-conflict region. If there had been a reference group who were not war widows, it would have provided even more substantial evidence that the source of depression and anxiety symptoms was largely due to the loss of a husband. However, this does not compromise the importance of the study. Still, it is worth considering that the omission of a comparison group is an additional limitation that could be addressed in future research. We hope the authors found our responses satisfactory. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.
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 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 | 0,002 | 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 | 0,001 |
| 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 ».