Muslim women's attitudes toward infant feeding in Qatar: An exploration using the Iowa infant feeding attitude scale
Notice bibliographique
Résumé
BACKGROUND: Maternal attitude toward infant feeding is an important determinant of breastfeeding. The Islamic faith encourages breastfeeding, yet many Muslim women do not breastfeed as per the World Health Organization recommendations. In the Middle East, research has not addressed attitudes toward infant feeding among Muslim women. Assessing women's attitudes toward infant feeding choices is crucial to improve breastfeeding rates among Muslim women. AIM: The aims of this study are to (a) examine postpartum Muslim women's attitudes toward infant feeding, (b) identify the determinants of these attitudes, and (c) determine whether attitudes can predict breastfeeding intention among Muslim women. A secondary aim is to examine the psychometric attributes of the Iowa Infant Feeding Attitude Scale among Muslim women. METHOD: A convenience sample of postpartum Muslim women (N = 414) were recruited between November 2019 and January 2020 in a large maternity facility in Qatar. A pre-developed questionnaire and the IIFAS were used to collect data. Both Arabic (n = 228) and English (n = 186) versions of the IIFAS were distributed postnatally to measure Muslim women's attitudes towards breastfeeding. A total attitude score was computed with higher scores indicating a more positive attitude toward breastfeeding. FINDINGS: The mean age of participants was 30.3 ± 5.2 years; 65.2% had a university degree and only 20.5% were employed. The mean attitude score was 61.8 ± 7.8. A significant association was found between the IIFAS attitude score and ethnicity, favouring Non-Qatari Arab women who had significantly higher attitude scores (p < .001). Women with full-time or part-time work had significantly higher scores than those not working (p = .008, p = .023). Older women had significantly lower attitude scores (adjusted slope = -0.230, p = .008). Cronbach's alpha reliability coefficient of the Arabic and English versions of the IIFAS ranged from 0.69 to 0.80. CONCLUSION: Ethnicity, employment status, and age are determinants of infant feeding attitudes among Muslim women. In Qatar, Muslim women's attitudes related to breastfeeding trend toward positive; however, attitude is not a predictor of antenatal breastfeeding intention. Further research employing a larger sample with a focus on a culturally sensitive approach is recommended. The IIFAS has a moderate reliability level and needs to be culturally adapted to be used among a Muslim population.
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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 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| 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 ».