An assessment of the utilisation of stokvels or rotating savings and credit associations to influence healthy eating in South Africa
Notice bibliographique
Résumé
Background In South Africa, the prevalence of non-communicable diseases (NCDs) is rising alarmingly, closely linked to dietary habits shaped by socioeconomic conditions. Stokvels, traditional community-based savings groups, emerge as potential catalysts for nutritional intervention, particularly among urban populations facing the dual challenges of undernutrition and obesity. This extensive study delves into the roles of stokvels in improving food security, promoting health, and empowering women within the urban landscapes of sub-Saharan Africa. Methods The research utilized a mixed-method approach to investigate the role of stokvels in urban sub-Saharan Africa comprehensively. Firstly, a systematic literature review was conducted, meticulously analyzing 28 studies that delved into the socio-economic impacts of ROSCAs and ASCAs, providing a foundational understanding of the role of stokvels in the region. This was complemented by stakeholder mapping, where indepth interviews with 21 key stakeholders were conducted to identify the macro-level influencers on stokvel operations. These influencers included government policies, economic conditions, cultural norms, and technological advancements, offering a nuanced view of the external factors impacting stokvel functionality. Further, the research employed a realist evaluation, involving 60 participants, including 20 stokvel leaders and 40 general members. This qualitative approach facilitated an understanding of the contextual factors influencing decision-making within stokvels, particularly concerning food purchasing and consumption patterns. Lastly, the study incorporated a discrete choice experiment (DCE), engaging 200 stokvel members. This quantitative method assessed the factors impacting members' preferences for healthy foods, analyzing their choices against various attributes related to food procurement and consumption. Results The study's results presented a multi-dimensional understanding of stokvels' influence. The systematic literature review highlighted stokvels as catalysts for disciplined savings and financial literacy, indirectly contributing to improved nutritional choices and food security. The stakeholder mapping revealed that stokvel operations are significantly influenced by external factors such as government policies, economic conditions, cultural norms, and technological advancements, which shape their efficacy in achieving financial and health-related goals. The realist evaluation provided deep insights into how grocery stokvels shape food purchasing decisions. It was found that these stokvels often employ bulk buying strategies, which ensure food security and affordability for their members. This approach reflects the stokvels' emphasis on strategic, collective decisionmaking that prioritizes the welfare of all members. Lastly, the discrete choice experiment highlighted members' preferences regarding healthy food options. The study revealed a preference for cost-effective shopping options like "two-for-one" offers. It also underscored the significant role of household decision-makers in influencing food choices, showing a complex interplay between socio-economic status, cultural norms, and individual preferences in dietary habits. This aspect of the study offered valuable insights into the behavioural economics of food choice within the context of stokvels. Conclusion The comprehensive analysis concludes that stokvels are vital components of the urban food systems in sub-Saharan Africa. They significantly impact women's health and economic empowerment by influencing healthier eating habits and facilitating community engagement in health promotion. However, the effectiveness of stokvels is subject to various challenges, including economic constraints and the need for supportive infrastructural and policy frameworks. Recommendations To enhance the positive impact of stokvels, it is recommended that government policies should provide more robust support and integration of these groups into the formal economic framework. Health promotion strategies need to incorporate stokvels as platforms for disseminating nutritional education and influencing food choices. Future research should extend to other African nations, exploring the varied impacts of stokvels in different cultural and economic contexts to develop comprehensive, culturally sensitive, and region-specific health and nutritional interventions.
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 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 | 0,001 | 0,000 |
| 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 | 0,001 |
| Science ouverte | 0,001 | 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 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 ».