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Enregistrement W2149697514 · doi:10.1590/s1020-49892006000500005

Relación entre los factores que determinan los síntomas depresivos y los hábitos alimentarios en adultos mayores de México

2006· article· es· W2149697514 sur OpenAlex

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Notice bibliographique

RevueRevista Panamericana de Salud Pública · 2006
Typearticle
Languees
DomaineMedicine
ThématiqueAging, Health, and Disability
Établissements canadiensHealth and Social Services Centre University Institute of Geriatrics of SherbrookeCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Organismes subventionnairesnon disponible
Mots-clésPsychologyHumanitiesArt

Résumé

récupéré en direct d'OpenAlex

OBJECTIVE: To determine the factors that are commonly associated with both the dietary habits of older adults living in the community and depressive symptoms in this group. METHODS: Secondary analysis of data on Mexico City obtained by means of the multicenter study on Health, Well-being, and Aging (Salud, Bienestar y Envejecimiento, SABE) that was carried out in 1999 and 2000. The following variables were examined: presence or absence of depressive symptoms, according to Yesavage's Geriatric Depression Scale (GDS); mental status, as reflected by the score obtained on a modified, shortened version of Folstein's Mini-mental State Examination (MMSE); and functional capacity, as measured by Katz' Index of Independence in Activities of Daily Living. Those whose score on the shortened MMSE was 12 points or less were asked to respond to the Pfeffer Functional Activities Questionnaire, which was used to assess their ability to perform the basic activities of daily living. Information was obtained through self-report on the material, physical, psychological, and social aspects of purchasing, preparing, and consuming food products and of oral health status during the most recent 12-month period. Variables that were significantly associated with the results obtained on the GDS were included in a multivariate regression analysis; several statistical models were created, and variables that were shown to be statistically significant in the stepwise multivariate linear regression were used to determine the best-fitting explanatory model for the results obtained on the GDS. RESULTS: The average age of study participants was 64.4 +/- 8.6 years, and the prevalence of depressive symptoms was 66%. The score obtained on the GDS showed a significant association with the presence of arterial hypertension (P < 0.01), but not with the self-reported presence of diabetes, neoplasia, stroke, lung disease or heart disease. However, the use of dental prostheses (P < 0.01), urinary incontinence (P < 0.01), and falls (P < 0.01) were significantly associated with the results on the GDS. The intake of milk products, meat, fish, fowl, fruit, and vegetables was significantly lower in the group that had depressive symptoms. An inverse correlation was detected between the score obtained on the GDS on the one hand, and the number of complete meals consumed during the day (P < 0.01) and total fluid intake (P < 0.01) on the other. The determining factors that were most closely associated with these results were, in addition to the presence of arterial hypertension, the presence of cognitive impairment (P < 0.01), difficulty performing the basic activities of daily living (P = 0.03) and the instrumental activities of daily living (P < 0.01), poor mobility (P < 0.01), difficulty using the telephone (P < 0.01), and the self-perception of having poor memory (P < 0.01), of having insufficient resources with which to live (P < 0.01), and of having poor oral health (P < 0.01). These variables explained 31% of the variance seen in the R2 values linked to the SDG variables that were incorporated into the final explanatory model. CONCLUSION: A number of determining factors for depressive symptoms and the results obtained on the GDS resemble the factors that determine poor dietary habits among older adults. The potential existence of common causative mechanisms calls attention to the need for designing interventions aimed at preventing both types of problems and their negative consequences. These results confirm the need to take dietary habits and other parameters into account when studying depression in older adults.

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 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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,151
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,008
Tête enseignante GPT0,288
Écart entre enseignants0,280 · 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