Prevalence and Associated Factors of Maternal Depression and Anxiety Among African Immigrant Women in Alberta, Canada: Quantitative Cross-sectional Survey Study
Notice bibliographique
Résumé
BACKGROUND: Although there is a significant body of evidence on maternal mental health, an inadequate focus has been placed on African immigrant women. This is a significant limitation given the rapidly changing demographics in Canada. The prevalence of maternal depression and anxiety among African immigrant women in Alberta and Canada, as well as the associated risk factors, are not well understood and remain largely unknown. OBJECTIVE: The purpose of this study was to investigate the prevalence and associated factors of maternal depression and anxiety among African immigrant women living in Alberta, Canada up to 2 years postpartum. METHODS: This cross-sectional study surveyed 120 African immigrant women within 2 years of delivery in Alberta, Canada from January 2020 to December 2020. The English version of the Edinburgh Postnatal Depression Scale-10 (EPDS-10), the Generalized Anxiety Disorder-7 (GAD-7) scale, and a structured questionnaire regarding associated factors were administered to all participants. A cutoff score of 13 on the EPDS-10 was indicative of depression, while a cutoff score of 10 on the GAD-7 scale was indicative of anxiety. Multivariable logistic regression was used to determine the factors significantly associated with maternal depression and anxiety. RESULTS: Among the 120 African immigrant women, 27.5% (33/120) met the EPDS-10 cutoff score for depression and 12.1% (14/116) met the GAD-7 cutoff score for anxiety. The majority of respondents with maternal depression were younger (18/33, 56%), had a total household income of CAD $60,000 or more (US $45,000 or more; 21/32, 66%), rented their homes (24/33, 73%), had an advanced degree (19/33, 58%), were married (26/31, 84%), were recent immigrants (19/30, 63%), had friends in the city (21/31, 68%), had a weak sense of belonging in the local community (26/31, 84%), were satisfied with their settlement process (17/28, 61%), and had access to a regular medical doctor (20/29, 69%). In addition, the majority of respondents with maternal anxiety were nonrecent immigrants (9/14, 64%), had friends in the city (8/13, 62%), had a weak sense of belonging in the local community (12/13, 92%), and had access to a regular medical doctor (7/12, 58%). The multivariable logistic regression model identified demographic and social factors significantly associated with maternal depression (maternal age, working status, presence of friends in the city, and access to a regular medical doctor) and maternal anxiety (access to a regular medical doctor and sense of belonging in the local community). CONCLUSIONS: Social support and community belonging initiatives may improve the maternal mental health outcomes of African immigrant women. Given the complexities immigrant women face, more research is needed on a comprehensive approach for public health and preventive strategies regarding maternal mental health after migration, including increasing access to family doctors.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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 | 0,000 | 0,000 |
| 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 ».