Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.
Julia EderCatherine GlockerBarbara BartonElif SarisikDavid PopovicJana LämmermannAlexandra KnafAnja Beqiri-ZaglerKatharina EnglLeonie RihsLisa PfeifferAndrea SchmittPeter FalkaiMaria S SimonRichard MusilPublished in: Acta psychiatrica Scandinavica (2024)
Our models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.
Keyphrases
- weight gain
- blood glucose
- body mass index
- birth weight
- machine learning
- weight loss
- glycemic control
- bipolar disorder
- major depressive disorder
- artificial intelligence
- emergency department
- depressive symptoms
- sleep quality
- metabolic syndrome
- adipose tissue
- deep learning
- skeletal muscle
- insulin resistance
- replacement therapy
- gestational age