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Record W7116071667 · doi:10.34922/ae.2025.38.4.009

ВЗАИМОСВЯЗЬ ДЕПРЕССИВНОГО СИНДРОМА И ФУНКЦИОНАЛЬНЫХ НАРУШЕНИЙ У ПОЖИЛЫХ ЖИТЕЛЕЙ ЕВРОПЕЙСКОГО СЕВЕРА РОССИИ

2025· article· ru· W7116071667 on OpenAlexaboutno aff

Bibliographic record

VenueУспехи геронтологии · 2025
Typearticle
Languageru
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Beck Depression InventoryQuality of life (healthcare)Disease

Abstract

fetched live from OpenAlex

Депрессивный синдром является одним из часто встречающихся синдромов у лиц пожилого и старческого возраста, непосредственно связанных со снижением функциональной независимости и качества жизни. Цель исследования заключалась в изучении взаимосвязи депрессивного синдрома с функциональными нарушениями в возрасте 60–74 лет. В 2023 г. в Архангельске было проведено поперечное исследование на случайной выборке (n=611). Обследование включало оценку выраженности признаков депрессивного синдрома с использованием шкалы Бека. Для выявления функциональных нарушений использовали кистевую динамометрию, краткую батарею тестов физического функционирования, Монреальскую шкалу оценки когнитивных функций (MoCA), оценивали остроту зрения и слуха. Связь балльной оценки по шкале депрессии Бека с функциональными нарушениями оценивали с использованием негативного биномиального регрессионного анализа c учетом инфляции нулевых значений. При коррекции на возраст, образование, семейное положение, финансовые трудности, гиподинамию и при одновременном включении в регрессионную модель всех рассматриваемых функциональных нарушений, выраженность признаков депрессивного синдрома была выше при наличии преастении (начальная стадия старческой астении) как у мужчин, так и у женщин, и с ухудшением слуха, но только у женщин. Полученные результаты подчеркивают необходимость гендерно-ориентированного подхода к скринингу и профилактике депрессивного синдрома у пожилых людей, особенно при наличии комплексных возраст-ассоциированных функциональных нарушений. Depression syndrome is one of the most common syndromes among the elderly and is directly associated with functional independence and quality of life. This study aimed to investigate the association between the severity of depression syndrome and functional disorders among individuals aged 60 to 74 years. In 2023, a cross-sectional study was conducted on arandom-samplein Arkhangelsk (n=611). Participants were examined for depression syndrome using the Beck Depression Scale. Functional disorders were evaluated using hand dynamometry, the Short Physical Performance Battery, the Montreal Cognitive Assessment, visual and hearing acuity tests. Zero-inflated negative binomial regression was used to analyze the associations between the severity of depression syndrome and functional disorders. After adjustment for age, education, marital status, financial difficulties, low physical activity, and all functional disorders, higher depression syndrome severity was associated with preasthenia gravis (an early stage of frailty) in both men and women and with hearing loss in women only. These findings underscore the importance of taking a gender-sensitive approach to screening for and preventing depression syndrome in older adults, especially those with complex agerelated functional disorders.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0390.008

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 head0.028
GPT teacher head0.381
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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