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Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine · 2026

"Training load and functional performance associated with non-contact upper extremity injuries in overhead athletes: A kinetic chain based prospective cohort study".

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Bilgi Bayram, Akbulut Bayrak Arife, Beyhan Hidayet, Düzgün İrem

Аннотация

OBJECTIVE: To examine the association between preseason kinetic chain-related postural alignment, neuromuscular control and functional performance and non-contact upper extremity injuries in overhead athletes.

DESIGN: Prospective cohort study.

SETTING: Field-based preseason screening with in-season injury surveillance.

PARTICIPANTS: 143 overhead athletes from 11 teams.

MAIN OUTCOME MEASURES: Preseason assessments comprised spinal postural alignment, shoulder range of motion, the Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST), the Single-Leg Squat Test (SLST) and weekly training volume. Non-contact upper extremity injuries were recorded throughout the season.

METHODS: Group comparisons used parametric and non-parametric tests; independent variables were identified with multivariable logistic regression.

RESULTS: Forty-five athletes (31.5%) sustained an upper extremity injury, 73.3% non-contact. Higher weekly training volume (OR 1.20, 95% CI 1.03-1.40), lower CKCUEST performance (OR 0.86, 95% CI 0.76-0.98) and poorer SLST performance (good vs. poor: OR 0.08, 95% CI 0.010-0.622; moderate vs. poor: OR 0.17, 95% CI 0.047-0.596) were independently associated with risk. Sex, shoulder rotational asymmetry and static spinal alignment were not.

CONCLUSIONS: Non-contact upper extremity injuries are linked to modifiable kinetic chain factors. Integrating CKCUEST and SLST with training-load monitoring into preseason screening may improve early risk identification.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты