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COMMENTARY

ORIGINAL ARTICLE

Open Access

Validation and Reliability Testing of the Yonsei Lifestyle Profile for Assessing Multifaceted Health Lifestyles

  • Version of Record online: 22 July 2025
Validation and Reliability Testing of the Yonsei Lifestyle Profile for Assessing Multifaceted Health Lifestyles

We demonstrated the strength of the Yonsei Lifestyle Profile (YLP) as a comprehensive lifestyle assessment tool, offering a multifaceted approach to measuring physical activity, activity participation, and nutrition, with high internal consistency across subdomains (Cronbach's α = 0.80−0.86). The YLP's concurrent validity was established via significant correlations with the Health-Promoting Lifestyle Profile II in the frequency subdomain, supporting effectiveness of the YLP in capturing health-promoting behaviors.

Open Access

The Failure Rate of Internal Fixation Increases With Sagittal Displacement of the Femoral Head: A Retrospective Study

  • Version of Record online: 30 June 2025
The Failure Rate of Internal Fixation Increases With Sagittal Displacement of the Femoral Head: A Retrospective Study

This study found that the degree of femoral head sagittal displacement is linked to the risk of internal fixation failure in femoral neck fracture. Measurements of the sagittal tilt angle of the femoral head (STAFH) using CT-3D imaging showed high reliability (ICC = 0.97, 95% CI: 0.96–0.98). Patients with excessive sagittal displacement (anterior tilt ≥ 10° or posterior tilt ≥ 20°) had a significantly higher risk of treatment failure (odds ratio 11.953, 95% CI: 3.656–39.083, p < 0.05). Accurately assessing femoral head sagittal displacement preoperatively is clinically significant for predicting femoral neck fracture prognosis and guiding individualized treatment plans.

RETRACTION

THIS ARTICLE HAS BEEN RETRACTED

Open Access

RETRACTED: Artificial intelligence for emergency medical care

  • Version of Record online: 13 October 2023
RETRACTED: Artificial intelligence for emergency medical care

‘Applications of artificial intelligence in emergency medical service’.