Register-based metrics of years lived with disability associated with mental and substance use disorders: a register-based cohort study in Denmark

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Weye, N., Santomauro, D., Agerbo, E., Christensen, M. K., Iburg, K. M., Momen, N. C., Mortensen, P. B., Pedersen, C. B., Whiteford, H. A., McGrath, J. J., & Plana-Ripoll, O. (2021). Register-based metrics of years lived with disability associated with mental and substance use disorders: a register-based cohort study in Denmark. The Lancet Psychiatry, 8(4), 310-319. https://doi.org/10.1016/s2215-0366(21)00029-8

Publication date: 20 Mar 2021 Added to AutiHub: 29 Sep 2026 Type: Article Article language: English

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Publication authors
11
Publication authors identified as autistic
1 / 11 (9.1%)

Abstract

BACKGROUND: Mental disorders account for a substantial proportion of the years lived with disability (YLDs) globally. These estimates have generally been calculated top down based on summary statistics. The aim for this study was to calculate YLDs and a novel related measure, Health Loss Proportion (HeLP), for 18 mental and substance use disorders, based on person-level register data (bottom up). METHODS: A cohort of 6 989 627 Danish residents (5·9% had a diagnosis of a mental or substance use disorder registered in the Danish Psychiatric Central Research Register) was investigated. YLDs (the duration of disease multiplied by a disability weight) were calculated for the disorder of interest and for comorbid mental and substance use disorders. HeLPs were estimated as YLDs associated with an index disorder and comorbid mental and substance use disorders divided by person-years at risk in persons with the index disorder. All analyses were adjusted for mental and substance use comorbidity using a multiplicative model of disability weights. FINDINGS: Major depressive disorder was the most prevalent disorder, although schizophrenia was the leading cause of YLDs in both sexes combined (YLDs 273·3 [95 % CI 232·3-313·6] per 100 000 person-years). People diagnosed with schizophrenia lost the equivalent of 73% (63-83%) of healthy life per year due to mental and substance use disorders, the largest HeLP of all mental and substance use disorders. Comorbidity of mental and substance use disorders accounted for 69-83% of HeLPs in people with either cannabis use disorders, other drug use disorder and ADHD. By contrast, comorbidity explained 11-23% of the HeLPs in people with autism spectrum disorders, conduct disorder, and schizophrenia. INTERPRETATION: Substantial variation in disability was observed across age, sex, and disorders. The new HeLP metric provides novel details of the contribution of comorbidity to the disability associated with mental and substance use disorders. FUNDING: The Danish National Research Foundation, Queensland Government Department of Health, European Union's Horizon 2020, Lundbeck Foundation, Stanley Medical Research Institute. TRANSLATION: For the Danish translation of the abstract see Supplementary Materials section.

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Cited references
32
With a DOI
29
Without a DOI, from raw bibliography text
3
6 / 32 (18.8%) cited references include at least one author identified as autistic.
References with data to complete
0 / 32 (0.0%)
References with detected author names
32 / 32 (100.0%)
Without detected author names
0
Without a structured title
0
Without a stable identifier
1
References with raw author names still to review
0
References with external metadata lookup issues
0
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Author names detected in the cited bibliography
3008
From DOI or external metadata
3008
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
265 / 3008 (8.8%) names are linked to an author already present in AutiHub. 2743 / 3008 (91.2%) names are not yet linked.
Names linked to a person identified as autistic
6 / 3008 (0.2%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 6 / 265 (2.3%). Distinct people identified as autistic: 1 / 1679 (0.1%).
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