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Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

First, we trained a Continuous Bag of Words word2vec model on the entire corpus using the word2vec package in R (R Foundation for Statistical Computing) [27]. Next, we created a mental health vector by averaging the vectors of words strongly associated with mental health (eg, therapy, psychiatry, and diagnosis; see Multimedia Appendix 1 for details). This vector was used as a reference point for identifying mental health–related language.

Vojtech Pisl, Ana-Maria Bucur, Ioana R Podina

J Med Internet Res 2025;27:e73950

Patient-Centered, Theory-Based, Online Intervention to Promote a Physically Active Lifestyle for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial

Patient-Centered, Theory-Based, Online Intervention to Promote a Physically Active Lifestyle for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial

The depression (r=0.70, P The HAPA battery of risk perception includes the subscales of Disease Threatening, Exam Result Threatening, Risk to Self, Risk to Others, Relative Vulnerability, and Perceived Severity. Each of these subscales has 10 to 13 items based on secondary health conditions in people with MS that are rated on a 7-point scale. Cronbach α values are 0.92 to 0.94 [37].

Chungyi Chiu, Vaishnavi Sridharan, Mojtaba Khaliji, Md Refat Uz Zaman Sajib, Xiaotian Gao, Kathleen Zackowski

JMIR Res Protoc 2025;14:e66091