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Enregistrement W4408309654 · doi:10.1155/cad/1870996

“Love, You Need to Give Your Child Love”: Mothers’ Perceptions of Nurturing Care for Young Children in South Africa

2025· article· en· W4408309654 sur OpenAlexfundno aff
Wiedaad Slemming, Emmanuel Cohen, Alessandra Prioreschi, Stephanie V. Wrottesley, Shane A. Norris

Notice bibliographique

RevueNew Directions for Child and Adolescent Development · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePoverty, Education, and Child Welfare
Établissements canadiensnon disponible
Organismes subventionnairesMedical Research CouncilCanadian Institutes of Health ResearchSouth African Medical Research CouncilNational Research Foundation
Mots-clésPsychologyDevelopmental psychologyPerceptionChild careChild developmentChild rearingEarly childhood educationSocial psychologyMedicinePediatrics

Résumé

récupéré en direct d'OpenAlex

Background: Nurturing care of young children is aimed at promoting lifelong, intergenerational health and well‐being, as well as social and economic benefits. This study is aimed at qualitatively exploring maternal perceptions related to nurturing care, their access to information and support for caregiving, the home and community environments and practices, and how caregivers promote infants’ health and well‐being in Soweto, South Africa. Methods: The study employed a sequential, two‐stage process. First, three focus group discussions were conducted with a total of 19 mothers of children aged 0–24 months, which then informed 12 in‐depth interviews (four women from each focus group discussion). Focus group discussions and interviews were audio recorded and transcribed verbatim and data were analysed using thematic analysis. Results: The health and well‐being of infants were generally described in relation to their feeding and growth and how physically active they were. The need for pregnancy and caregiving information, accompanied by opportunities to discuss this with a health care worker or other women, was highlighted by participants in this study. Potentially obesogenic and non‐responsive infant and young child feeding practices were commonly reported by mothers. Responsive caregiving was described as taking care of children’s physical needs, providing them with love, and playing with them. Female matriarchs were particularly influential in providing caregiving advice and support for mothers. Naturally occurring interactions, such as talking and singing, were commonly reported practices to promote children’s development in the home. Safety concerns were ubiquitous and limited children’s play and exploration outside the home. Conclusions: This is one of few studies to explore caregivers’ perceptions of nurturing care in the South African context and the first to focus specifically on the first 1000 days. Thus, the study findings can contribute to strengthening initiatives to support caregivers to provide nurturing care for young children in South Africa and other similar contexts. Findings point to the need for better targeted information and support for mothers and other caregivers around nurturing care, especially elements related to infant and young child feeding (including responsive feeding), responsive care, early learning, and how to address safety in the home. There is also a gap in the provision of appropriate information and opportunities to engage with peers and health care workers around issues pertinent to pregnant women within current services. These deficiencies can be addressed through strengthening existing services, leveraging current platforms of care and support for pregnant women and young children, particularly through the health system.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,650
Score d'incertitude au seuil0,820

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,261
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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