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Effects of an e-Learning Program (Physiotherapy Exercise and Physical Activity for Knee Osteoarthritis [PEAK]) on Chinese Physical Therapists’ Confidence and Knowledge: Randomized Controlled Trial

Effects of an e-Learning Program (Physiotherapy Exercise and Physical Activity for Knee Osteoarthritis [PEAK]) on Chinese Physical Therapists’ Confidence and Knowledge: Randomized Controlled Trial

A third researcher (Wang ZR), experienced in qualitative analysis and uninvolved in the interviews, reviewed all the transcripts to validate the consistency and relevance of the refined emergent themes. Illustrative quotes were included in the results to provide transparency and demonstrate the depth of participant experiences. All statistical analyses were performed using R software (version 4.2.0, R Core Team) for quantitative data and NVivo software (version 12, Lumivero) for qualitative data.

Zi-Ru Wang, Yunqi Wang, Shuning Duan, Xier Chen, Guoxin Ni

J Med Internet Res 2025;27:e71057

Development of a Longitudinal Model for Disability Prediction in Older Adults in China: Analysis of CHARLS Data (2015-2020)

Development of a Longitudinal Model for Disability Prediction in Older Adults in China: Analysis of CHARLS Data (2015-2020)

Appendicular skeletal muscle mass (ASM) was estimated using a formula specifically developed for the Chinese population, which closely corresponds with dual-energy X-ray absorptiometry measurements [15,16]. The formula accounts for weight, height, sex (1 for males, 2 for females), and age as follows: ASM =0.193× weight (kg) + 0.107 × height (cm) − 4.157 × sex − 0.037 × age − 2.631 Covariates for our study were identified from previous literature and grouped into 2 main categories.

Jingjing Chu, Ying Li, Xinyi Wang, Qun Xu, Zherong Xu

JMIR Aging 2025;8:e66723

Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research

Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research

The social media platforms Facebook (Meta), Twitter (X Corp), and Instagram (Meta) account for a combined 83% of all social media site visits in the United States [16]. As nearly 3 quarters of Americans report social media use, social media platforms now provide researchers a new, accessible alternative to traditional recruitment methods (eg, printed flyers and in-person outreach) to meet individuals where they are and help bridge the digital divide [18].

Christiana Harry, Sarah Goodday, Carol Chapman, Emma Karlin, April Joy Damian, Alexa Brooks, Adrien Boch, Nelly Lugo, Rebecca McMillan, Jonell Tempero, Ella Swanson, Shannon Peabody, Diane McKenzie, Stephen Friend

JMIR Form Res 2025;9:e68093