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Exploring risk factors for long-term sickness absence during emerging adulthood: Continuous and discrete time models using young-HUNT data on psychological distress and chronic pain
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DOI：10.1016/j.ijmedinf.2026.106551.png)
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Abstract
En 中文
• Adolescent chronic pain, especially when co-occurring with psychological distress, is associated with an increased risk of long-term sickness absence (LTSA) in early adulthood. • Relative differences in LTSA risk between health groups remained stable across cohorts despite changes in welfare policy. • Continuous- and discrete-time models showed comparable predictive performance, with no clear advantage of more complex methods. • Sociodemographic and early-life health factors influenced LTSA, highlighting adolescence as a key period for early identification and intervention.
Keywords:
Survival analysis
Machine learning
Long-term sickness absence
Young adults
Chronic pain
Psychological distress
HUNT
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