Validation of the Anxiety Scale for Pregnancy in a Sample of Iranian Women
Notice bibliographique
Résumé
IntroductionPregnancy is a special period in a woman's life characterized by rapid physiological, psychological, and social changes during a relatively short period that may predispose women to anxiety (1).A variety of issues in pregnancy may provoke anxiety in women.Among such issues are worries about childbirth and health of the baby, quality of care during labor, the extent of husbands' support and involvement in maternal health care, and the level of support from relatives and friends (2,3).Pregnancy anxiety is different from general anxiety.It is a relatively distinct syndrome which is provoked by pregnancy-specific fears and worries (4).Women who are anxious, experience both emotional and somatic symptoms such as worry, muscle pain, palpitation, insomnia, and gastrointestinal discomfort (2).It has been suggested that high levels of pregnancy-related anxiety play a role in preterm birth (5-8), postpartum depression, and caesarean (7).In addition, it could affect fetal, infant and child development (7,9).Several studies have highlighted the need for the routine measurement of pregnancy anxiety during pregnancy to enable the design of appropriate interventions (10-13).The State-Trait Anxiety Inventory (STAI), a widely used measure of general anxiety, has also been commonly used in research on pregnancy anxiety (14).The STAI scale is suitable for assessing the general level of anxiety, but it does not measure pregnancy-specific stressors (2).Another critique of the use of STAI scale for measuring pregnancy-related anxiety is that it might not predict maternal and child outcomes (2,15,16).The results of a study showed that whereas childbirth-specific anxiety was an important predictor of childbirth duration, general anxiety as measured by the STAI had no predictive value in this regard (17).It is, therefore, important to design and validate an appropriate instrument for measuring pregnancy anxiety.Since pregnancy-related anxiety involves multiple factors related to infant, mother, and childbirth, it needs to be measured by a specialized multidimensional instrument.Apart from some instruments in a true or false format, few instruments for measuring pregnancy-related anxiety are at present available which can measure the severity of anxiety (2) and which also have a clear factorial structure.Levin examined the factorial structure of the Pregnancy Abstract Objectives: Pregnancy-related anxiety is a risk factor for poor outcomes.The aim of this study was to validate the Farsi version of the Anxiety Scale for Pregnancy (ASP) in a sample of Iranian women.Materials and Methods: After translation and back-translation of the ASP, the content validity ratio (CVR) and the content validity index (CVI) of each item were calculated based on the opinions of a panel of 10 experts.Four hundred pregnant women in the third trimester of pregnancy completed the Farsi version of the ASP.For discriminant validity, we compared the ASP mean scores of women with low and high levels of childbirth fear.Confirmatory factor analysis (CFA) was performed to investigate construct validity of the scale.Results: No item had CVR and CVI scores less than 0.62 and 0.8, respectively.The results of the CFA for the ASP were unsatisfactory for the proposed 5-factor model (RMSEA = 0.087, SRMR = 0.092, chi-square/df = 4.03, CFI = 0.87, and GFI = 0.91).After removing item 9, satisfactory CFA results were obtained and the structural model fit was confirmed (RMSEA = 0.066 (CI [0.053, 0.078]), SRMR = 0.069, chi-square/df = 2.71, CFI = 0.93, GFI = 0.95).Cronbach αcoefficient for the 13-item ASP was 0.703.The scale showed moderate correlations with the Spielberger State-Trait Anxiety Inventory (STAI) and Childbirth Attitudes Questionnaire (CAQ) scores (0.61, 0.59, and 0.57, respectively) and could differentiate well between women who preferred cesarean and those requesting vaginal delivery.Conclusion: The present study confirmed the content validity and construct validity of the Farsi version of the 13-item ASP for women in the third trimester of pregnancy.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».