Interventions to Address Food Insecurity Among Adults in Canada and the US
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Importance: Inadequate access to food is a risk factor for poor health and the effectiveness of federal programs targeting food insecurity, such as the Supplemental Nutrition Assistance Program (SNAP), are well-documented. The associations between other types of interventions to provide adequate food access and food insecurity status, health outcomes, and health care utilization, however, are unclear. Objective: To review evidence on the association between food insecurity interventions and food insecurity status, clinically-relevant health outcomes, and health care utilization among adults, excluding SNAP. Data Sources: A systematic search for English-language literature was performed in PubMed Central and Cochrane Trials databases (inception to January 23, 2020), the Social Interventions Research and Evaluation Network database (December 10, 2019); and the gray literature using Google (February 1, 2021). Study Selection: Studies of any design that assessed the association between food insecurity interventions for adult participants and food insecurity status, health outcomes, and health care utilization were screened for inclusion. Studies of interventions that described addressing participants' food needs or reporting food insecurity as an outcome were included. Interventions were categorized as home-delivered food, food offered at a secondary site, monetary assistance in the form of subsidies or income supplements, food desert interventions, and miscellaneous. Data Extraction and Synthesis: Data extraction was performed independently by 3 reviewers. Study quality was assessed using the Cochrane Risk of Bias Tool, the ROBINS-I (Risk of Bias in Non-Randomized Studies of Interventions) tool, and a modified version of the National Institutes of Health's Quality Assessment Tool for Before-After Studies With No Control. The certainty of evidence was based on GRADE (Grading of Recommendations Assessment, Development, and Evaluation) criteria and supplemented with mechanistic and parallel evidence. For outcomes within intervention categories with at least 3 studies, random effects meta-analysis was performed. Main Outcomes and Measures: ), and health care utilization (eg, hospitalizations, costs). Results: A total of 39 studies comprising 170 605 participants were included (8 randomized clinical trials and 31 observational studies). Of these, 14 studies provided high-certainty evidence of an association between offering food and reduced food insecurity (pooled random effects; adjusted odds ratio, 0.53; 95% CI, 0.33-0.67). Ten studies provided moderate-certainty evidence of an association between offering monetary assistance and reduced food insecurity (pooled random effects; adjusted odds ratio, 0.64; 95% CI, 0.49-0.84). There were fewer studies of the associations between interventions and health outcomes or health care utilization, and the evidence in these areas was of low or very low certainty that any food insecurity interventions were associated with changes in either. Conclusions and Relevance: This systematic review with meta-analysis found that providing food and monetary assistance was associated with improved food insecurity measures; however, whether it translated to better health outcomes or reduced health care utilization was unclear.
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.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,004 |
| 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 découle