Complexity
Exploring Nationwide Patterns of Sleep Problems from Late Adolescence to Adulthood Using Machine Learning
Zucco, Adrian G.
, Drews, Henning Johannes
, Uleman, Jeroen F.
, Bhatt, Samir
, Rod, Naja Hulvej
Sleep
Pattern Recognition
Life Course
Complexity
Sleep problems among young adults pose a major public health challenge. Leveraging nationwide health surveys and registers from Denmark, we investigated patterns of sleep problems from late adolescence to adulthood and explored early life-course determinants. We generated life-course embeddings using unsupervised machine learning on data from 2.2 million individuals born from 1980 to 2015. We used this landscape to identify neighboring factors of sleep problems. We observed a substantial increase in self-reported sleep problems among individuals aged 15 to 45, from 34 to 49% between 2010 and 2021, and a 10-fold increase in melatonin use. We also found relevant clusters of sleep-related prescriptions, diagnoses, and procedures with age-specific incidence patterns. Specific childhood adversities, such as sibling psychiatric illness, foster care, and parental divorce, were shared factors across multiple sleep disorders such as insomnia and nightmares. These findings underscore the complex interplay between medical and psychosocial factors in sleep.

Copenhagen Health Complexity Center ↗ ↖
Complexity
Public Health
Methodology
Member of the Copenhagen Health Complexity Center at the Department of Public Health, University of Copenhagen.

The Young Sleep Program ↗ ↖
Complexity
Epidemiology
Mental Health
Patterns, mechanisms, and dynamics underlying sleep health in young adults.

DANLIFE (The DANish LIFE course cohort) ↗ ↖
Complexity
Epidemiology
Mental Health
The DANish LIFE course cohort (DANLIFE) is a nationwide, register-based, life-course cohort that is based on comprehensive and continuously updated information on social adversity and major life events from the Danish registers.
