A Comparison of Antenatal Depressive Disorders in Urban and Rural Pregnant Women in Nigeria
Notice bibliographique
Résumé
Background: The prevalence of antenatal depression (AND) is consistently higher in urban areas in developed counties while the reverse is the case in developing counties developing countries. This highlights that socioeconomic gaps and health disparities between different settings could have important implications on perinatal mental health. Nigeria, the most populous nation in Africa, is home to multiple ethnic and cultural groups and about half of the population is rural. But then a majority of Nigerian studies on and were conducted in the urban and semi-urban southern regions. Few, if any, such studies were ever conducted in the urban or rural settings of northern Nigeria. The study aimed to determine and compare the prevalence and factors associated with AND among pregnant women in urban and rural northern Nigeria settings. A descriptive comparative cross-sectional study was conducted among antenatal clinic attendees of an urban and a rural health facility in Kano State, northern Nigeria. Data were collected from pregnant mothers. A socio-demographic and clinical characteristics questionnaire was used to obtain the relevant data. Edinburgh Postnatal Depression Scale (EPDS), Hamilton Depression Rating Scale (HDRS) and the major depression module of the Mini International Neuropsychiatric Interview (MINI-7) were used to screen, rate and diagnose depression among the respondents respectively. Results: The urban pregnant women were older (28.3±5.7 versus 26.0±5.6 years, p=0.001), better educated (12.8±2.8 versus 8.9±4.3 years of schooling, p<0.001), earning higher average monthly income (36.0 USD vs 13.0 USD, p<0.001), in the second trimester of the pregnancy (22% versus 9.7%, p=0.004). While the rural women were more likely to have planned to get pregnant (84.1% versus 69.3%, p=0.003) and used psychoactive substances while pregnant (20.7% versus 8.7%, p=0.003). The prevalence of AND was significantly higher among the rural respondents as compared to the urban respondents (33.1% versus 14.7% p<0.001). Anaemia in pregnancy (AIP), a history of a background medical problem (BMP) was significantly associated with AND in the urban setting (p= 0.032 and p= 0.001 respectively). While in the rural setting, AIP and a history of BMP were significantly associated with AND (p=0.0063 and p=0.008 respectively). Furthermore, among the multigravid urban and rural respondents, previous pregnancy complication was found to be significantly associated with AND (p=0.030). Among the urban women, the predictor for AND was a history of BMP (OR=5.049, 95%CI=1.451-17.570). The significant predictors for AND in the rural setting were AIP (OR=3.337, 95%CI=1.468-7.798) and history of BMP (OR=3.298, 95%CI=1.267-8.885). Conclusion: Rural prevalence of AND was significantly much higher than the urban rate. Certain factors, such as BMP and AIP, were associated with AND in both urban and rural settings.
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 | 0,001 |
| 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) | 0,001 | 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 ».