m+Medelevator.RU
← Поиск публикаций
Scientific reports · 2026

Field-based evaluation of trunk strength using a novel in-chair assessment system in elite wheelchair athletes.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

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.

Schaaf Kirill, Nquiti Maurice, Lassner Paula, Bersiner Käthe, Gehlert Sebastian, Abel Thomas, Jacko Daniel

Аннотация

Trunk strength is essential for performance in wheelchair-based sports, yet assessment under sport-specific conditions is challenging. The athlete and their sport wheelchair act as a unit, so meaningful assessment should occur in the wheelchair itself. We developed a mobile device that measures isometric trunk flexion, extension, and lateral flexion directly in the athlete’s own sport wheelchair. We first examined test-retest reliability in both able-bodied participants and elite wheelchair basketball (WB) players. Both cohorts showed high day-to-day consistency (intraclass correlation coefficient, 0.85–0.97; coefficient of variation, < 10%). We then demonstrated that trunk forces measured distinguish between established WB functional classes 1.0 (high impairment) – 4,5 (low impairment). Higher classified groups produced significantly greater forces, with a strong positive correlation between classification and force (r = 0.76–0.87). Next, classification-specific reference values were generated and compared with measures from able-bodied participants. Lower classified athletes (1.0-3.5) produced approximately 56% less trunk force than able-bodied participants, whereas players in the highest classification (4.0-4.5) demonstrated comparable or up to 31% higher force in trunk flexion. These findings support the device as a reliable, field-based method to quantify trunk strength in athletes’ own wheelchairs and show that it can differentiate functional classes, enabling its application in performance testing.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты