Your Phone Detects Depression Early by Tracking Sleep and Movement

SadaNews - In a remarkable development in the field of mental health, recent research indicates that smartphones and wearable devices may be capable of detecting early signs of depression before it becomes manifest. According to a report on "Medical Xpress," analyzing data such as sleep, movement, and mood can provide early indicators of psychological changes.

Research suggests that depression affects approximately one in every 20 people globally, characterized by symptoms such as persistent sadness, sleep disturbances, and loss of interest in daily activities.

The study relied on a review of 52 studies that utilized data from smartphones and smartwatches, where daily behavior patterns were analyzed and linked to mood changes.

Daily Patterns Reveal Psychological State

The results showed that certain indicators are clearly associated with depression, such as spending more time at home, reduced movement, decreased physical activity, and disrupted sleep schedules.

It was also found that combining behavioral data with physiological indicators, such as heart rate, enhances the accuracy of predicting mental states.

The study noted that models built on data from each individual separately were more accurate than general models because they consider variations in daily habits among individuals. This means that slight changes in an individual's behavior can be an important indicator, even if they seem normal when compared to others.

Researchers believe that these technologies could allow for early intervention by alerting the user or linking them to mental health support services before symptoms worsen. They could also aid in developing health applications capable of continuously monitoring psychological states without direct intervention.

Despite these findings, these tools are still in the research stages and face challenges related to privacy, data accuracy, and user diversity. Moreover, while these indicators reflect a connection to mental states, they do not constitute a medical diagnosis in themselves.