bmcpsychology.biomedcentral.com


A recent 2025 study led by Zhang et al. analyzed longitudinal data from China’s CHARLS to identify key predictors of depression in middle-aged and older individuals. By combining LSTM and CNN models, the study reveals that disability, life satisfaction, and ADL impairment are major influencers. This research exemplifies how digital technologies can enhance early detection strategies.

Q&A

  • What does the study predict?
  • How were machine learning models integrated?
  • What are the main predictive features identified?
Copy link
Facebook X LinkedIn WhatsApp
Share post via...

Researchers led by Fatma Betül Yilmaz have confirmed the Turkish adaptation of the AI Attitude Scale, demonstrating robust psychometric properties. Using CFA and IRT, the study found significant links between AI attitudes and mental well-being, akin to a well-calibrated scale in digital psychology. This research, published on March 25, 2025, by BMC Psychology, offers a promising tool for examining AI perceptions.

Q&A

  • What is the AIAS-4?
  • How was the scale adapted?
  • What are the main findings?
Copy link
Facebook X LinkedIn WhatsApp
Share post via...
Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity