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Nationwide Transdiagnostic Age and Sex Patterns in Mental Disorder Disease Development
Eva N S Wandall1,2, Per K Andersen2, Rune H B Christensen1
1Copenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.
Mental disorder trajectories vary significantly by initial diagnosis, sex, and age, impacting treatment and follow-up. Understanding these patterns is crucial for personalized mental healthcare and preventive strategies.
Area of Science:
- Psychiatry and Mental Health
- Epidemiology
- Public Health
Background:
- Mental disorders often involve recurrent episodes and diagnostic changes.
- Limited research exists on transdiagnostic disease development patterns beyond comorbid pairs and mortality.
- Understanding heterogeneity in mental disorder progression is vital for effective interventions.
Purpose of the Study:
- To investigate sex and age-specific patterns in disease development across seven major mental disorder groups.
- To analyze diagnostic shifts, recurrence, and psychiatric contact frequency in relation to initial diagnosis, age, and sex.
Main Methods:
- A nationwide Danish cohort study (2000-2018) included 273,400 adults with first-time diagnoses in 7 major mental disorder categories.
- Analysis involved calculating age- and sex-specific estimates of diagnostic shifts, recurrence, and psychiatric contacts.
- Data were analyzed using age groups (18-60+) and sex (male/female).
Main Results:
- 24.3% of individuals experienced diagnostic shifts, with 11.8% having multiple shifts.
- Psychotic disorders were associated with the highest psychiatric contact and diagnostic shift rates.
- Younger age at first contact correlated with increased psychiatric contacts and diagnostic shifts; sex influenced specific diagnostic shift probabilities.
Conclusions:
- Mental disorder progression is highly dependent on initial diagnosis, patient sex, and age group.
- Findings inform treatment planning and follow-up strategies for personalized mental healthcare.
- Identifying high-risk individuals can enhance the effectiveness of preventive initiatives.
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