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Assessment indexes of cognitive status, anxiety and depression in senior women with diff erent severity of frailty

2024· article· en· W4392706134 on OpenAlexaboutno aff
A. N. Kodintcev, Н. В. Изможерова, Popov Aa, Л. И. Волкова

Bibliographic record

VenueRussian neurological Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)AnxietyPsychologyCognitionClinical psychologyGerontologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Frailty is a key geriatric syndrome characterized by an age-associated diminution of the physiological reserve and functions of many body systems leading to increased vulnerability of the elderly people to the eff ects of endo- and exogenous factors. The combination of frailty, cognitive impairment, anxiety and depression is a signifi cant clinical predictor for an unfavorable prognosis. Purpose. Identifi cation and study of the relationship of cognitive impairment, anxiety, depression and frailty assessment indexes in female patients over 60 years old, observed on an outpatient basis. Material and methods. The study included 80 women over 60 years old. All participants were divided into 4 groups: non-frail (10 women), pre-frail (44 women), mildly frail (20 women), more-frail (6 women). A comprehensive clinical examination was carried out: Montreal cognitive assessment (MoCA), Mini-Mental State Examination (MMSE), frontal assessment battery (FAB), phonetic association test, semantic association test, Beck anxiety inventory, geriatric depression scale–15 (GDS-15), questionnaire “Age is no barrier”, Frailty index (FI, Hoover et al., 2013). Results. All women in 4 groups did not signifi cantly diff er in age. There was no statistically signifi cant diff erence in the MMSE, FAB data and mild cognitive impairment (MCI) prevalence among the groups. Lower rates of MoCA scale were associated with higher probability of frailty (odds ratio (OR) = 0.78; 95 confi dence interval (CI) CI: 0.63–0.96, p = 0.016). The cut-off level of 26 and lower according MoCA has sensitivity 69% and specifi city 50% to detect of high frailty risk (according FI). Questionnaire “Age is no barrier” has a sensitivity of 86% and a specifi city of 53% to detect prefrailty (score 1–2) and a sensitivity of 69% and a specifi city of 87% to detect the presence of frailty (score ≥ 3) regarding FI. Combined sensitivity of MoCA (≤ 26 score) and questionnaire “Age is no barrier” (≥ 3 score) of 78%, combined specifi city of 69%. Higher rates of Beck anxiety inventory and GDS-15 were associated with frailty (OR = 1.12; 95 CI: 1.02–1.22, p = 0.0134 and OR = 1.39; 95 CI: 1.05–1.84, p = 0.0201, respectively). A higher index of the Beck anxiety inventory was also associated with mild cognitive impairment according MoCA (OR = 1.12; 95% CI: 1.04–1.2, p = 0.003). Arterial hypertension was signifi cantly more common for women with FS (χ2 = 4.23, p = 0.04). Conclusion. There was no signifi cant association between MMSE, FAB, MCI prevalence and the severity of frailty in senior women due to the insuffi cient study power (< 80%). MoCA cut-off ≤ 26 score is associated with higher burden of frailty. The questionnaire «Age is no barrier» is an acceptable screening method for determining the necessity of additional geriatric examination of independently living women over 60 years old. Higher rates of the Beck anxiety inventory, GDS-15, BMI, lower rates of MoCA scale and arterial hypertension are associated with high rates of FS and may be predictors for the frailty progression.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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