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

2006· article· es· W2149697514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Panamericana de Salud Pública · 2006
Typearticle
Languagees
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.288
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it