The Relationship of Food Insecurity and Mental Health in Single-Parent Households: A Literature Review
Notice bibliographique
Résumé
Introduction: Food insecurity is a prominent concern worldwide. While food insecurity is recognized as an extensive physical health concern globally, it also has impacts on our mental well-being, contributing to elevated rates of depression and stress, among other symptoms of psychological distress. This relationship between food insecurity and poor mental health is heavily supported; however, previous research on this topic has focused on nuclear families as opposed to single-parent family structures. This review aims to comprehensively examine food insecurity and mental health in single-parent households to better understand the role that family structure may play in this relationship. Methods: A literature search was conducted using three terms stipulated for study inclusion: “mental health”, “food insecurity”, and “single parent”. Primary studies were identified with no restrictions on study type and type of data (qualitative or quantitative) for a more comprehensive review. Results: All of the studies included in this review support a relation between food insecurity and mental health in single-parent households, with individuals in this demographic experiencing higher rates of both compared to the general population. This relation was observed in people from a variety of developed countries, suggesting some degree of generalizability. Discussion: It can be conclusively established that being in a single-parent household increases the risk of food insecurity, contributing to poor mental health within this population. There are many gaps in the literature on single-parent households to explore further, including the experience of single fathers and how this relation appears in developing countries as well as a need to explore a wider range of mental health conditions resulting from food insecurity. Conclusion: Food insecurity is a significant concern in single-parent households. This increases the risk of poor mental health in these households, seen in higher rates of depression, among other conditions. Public health institutions should consequently consider this demographic when working towards new programs or initiatives aimed at addressing food insecurity and mental health problems.
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 | 0,022 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,006 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,013 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».