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Record W4408647748 · doi:10.34922/ae.2024.37.6.014

ПОДХОДЫ К ОРГАНИЗАЦИИ ГРУППОВЫХ ФИЗИЧЕСКИХ ЗАНЯТИЙ ДЛЯ ПОЖИЛЫХ ЛЮДЕЙ В ЦЕНТРАХ СОЦИАЛЬНОГО ОБСЛУЖИВАНИЯ

2025· article· ru· W4408647748 on OpenAlexaboutno aff
O M Ivko, И.С. Носкова, А. Н. Ильницкий, А.С. Пономарев, А.У. Гехаев, Е.Э. Вейс, В.В. Степченкова

Bibliographic record

VenueУспехи геронтологии · 2025
Typearticle
Languageru
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Цель исследования — изучение вопросов организации групповых физических занятий для пожилых людей в центрах социального обслуживания. Работа была выполнена на базе центров соци ального обслуживания, где 635 лицам пожилого возраста (средний возраст — 69,2±2,3 года) была проведена комплексная гериатрическая оценка. Пациенты основной группы, кроме стандартных рекомендаций, выполняли оригинальную мультимодальную программу групповых физических занятий 3 раза в неделю в течение 30 мин 3 мес. Контрольные точки наблюдения — перед нача лом исследования, через 3 мес (по окончании про граммы групповых физических занятий), через 6 и 12 мес. У всех пациентов была применена шкала двигательной активности, проведен тест с 6-ми нутной ходьбой, оценены когнитивные функции и психологический статус, выявлено качество сна. Достигнуто улучшение функциональных способно стей и мышечной функции, которое оставалось ста бильным к 6-му месяцу от начала реализации про граммы (тест с 6-минутной ходьбой — 406,2±8,4 м, Монреальский тест — 27,2±0,3 балла, р<0,05), к кон цу 1-го года показатели снизились, соответственно, до 374,2±6,6 м и 26,6±0,1 балла, но оставались выше исходных значений (р<0,05). В отношении психо логического статуса и качества сна достигнутые эффекты оставались стабильными на протяжении 12 мес. Разработанная мультимодальная программа групповых физических занятий в центрах соци ального обслуживания приводит у пожилых пациентов к повышению мышечной силы, увеличению скорости ходьбы, стабилизации функции баланса, улучшению когнитивного статуса, уменьшению вы раженности уровня тревоги и депрессии, улучшению качества сна, что доказывает необходимость ее повторения не реже одного раза в год. The aim of the study is to study the organization of group physical activities for the elderly in social service centers. The work was carried out on the basis of social service centers, where a comprehensive geriatric assessment was carried out for 635 elderly people (average age — 69,2±2,3 years). In addition to the standard recommendations, the patients of the main group were provided with an original multimodal program of group physical exercises 3 times a week for 30 minutes for 3 months. Control points of observation: before the start of the study, after 3 months (at the end of the group exercise program), after 6 and 12 months. All patients were assessed on the scales of motor activity, a 6-minute walking test was performed, the cognitive functions and psychological status of the patient were assessed, and the quality of sleep was determined. An improvement in functional abilities and muscle function has been achieved, which remains stable by 6 months from the start of the program (6-minute walk ing test 406,2±8,4 m, Montreal test 27,2±0,3 points, p<0,05), by the end of the first year, the indicators decrease respectively to 374,2±6,6 m and to 26,6±0,1 points, but remain above the initial values (p<0,05). In terms of psychological status and sleep quality, the effects achieved remain stable for 12 months. The developed multimodal program of group physical activities in social service centers leads to increased muscle strength, increased walking speed, stabilization of balance function, improved cognitive status, decreased severity of anxiety and de pression, and improved sleep quality, which proves the need to repeat it at least once a year.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0110.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0330.011

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 head0.007
GPT teacher head0.300
Teacher spread0.293 · 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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