Burden of food insecurity in older adults from diverse global settings: policy recommendations
Notice bibliographique
Résumé
Abstract Food insecurity prevalence is highest in low and middle-income countries, yet there is a dearth of research on the burden in older adults in these settings. Food insecurity has long-term consequences for the health of older persons. We examined cross-sectional food security data from 1,482 participants in the 2016 wave of the longitudinal International Mobility in Aging Study (IMIAS) conducted in Canada, Albania, Colombia, and Brazil. These are community samples between 68 and 79 years. Food security was assessed with the Latin American and Caribbean Household Food Security Scale and recoded to yes/no. Covariates of interest included sex, site, income, living arrangement, and education. Descriptive statistics, with tests of statistical significance, were used. Responses to scale items varied from 10% of participants reporting worry about running out of food and being unable to eat healthy foods to 2% reporting not eating for a whole day or having to beg for food. Food insecurity in the sample was 17%. Few Canadian respondents (<5%) were food insecure, compared to 30% in Tirana, 28% in Manizales, and 18% in Natal. Better educated and income sufficient respondents were significantly more food secure than lesser educated, lower income ones. Respondents living with spouses were significantly less likely to be food insecure than those living alone or in other arrangements (e.g. with children). The exception was Tirana; 25% of those in other arrangements were food insecure compared to 32% living with a spouse and 44% alone. Food insecurity did not differ significantly by age or sex. Site, income, living arrangement, and education were all associated with food insecurity status. Study findings contribute to a significant gap in literature about food security in older adults. Because food insecurity in older adults leads to negative health outcomes, results suggest specific interventions to improve health and reduce burden on healthcare systems is needed for elderly. Key messages Food insecurity has severe health consequences for elderly and location, income, education, and living arrangement contributes to health inequalities in this population across diverse settings. Little to no research has been done on food insecurity in elderly outside of North America and study findings contribute to significant gap in research in this population across global 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 | 0,015 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,006 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,008 | 0,010 |
| Science ouverte | 0,007 | 0,011 |
| Intégrité de la recherche | 0,009 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,006 |
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 ».