Skip to content
DraconiticResearch
Search Sources API
206,690 studies31 sourcesUpdated 22 min ago
PreprintCC BYmedRxiv

Mortality gap continuum in severe mental illness: a nationwide study across healthcare and socioeconomic strata

3 more authors
  1. 1Norwegian Institute of Public Health; Ostfold Hospital Trust

Abstract

BackgroundA comprehensive overview of how premature mortality in severe mental illness varies by socioeconomic position and healthcare utilization is lacking.

MethodsWe followed all Norwegian residents aged 30-79 years on January 1, 2008, through December 31, 2023. Nationwide registry linkage provided data on mental illness in primary and specialist care, educational attainment, and cause of death.

We estimated the mortality gap as excess life-years lost from age 30 for depression, bipolar disorder, and schizophrenia compared with the general population, stratified by sex, healthcare utilization, and educational attainment. All-cause, external-cause, and natural-cause mortality were assessed using competing risks.

ResultsThe cohort comprised 2,486,836 individuals, including 483,933 with depression, 40,125 with bipolar disorder, and 21,963 with schizophrenia. Among men, the mortality gap ranged from 1.50 year (95% CI 0.36-3.34) among those with depression, non-inpatient care utilization, and university education to 19.86 years (18.34-21.36) among those with schizophrenia, inpatient care utilization, and less than high school education. Among women, the corresponding range was no gap to 18.16 years (17.03-19.53). Mortality gaps were generally larger with lower educational attainment and inpatient care utilization and increased from depression to bipolar disorder to schizophrenia. This pattern was consistent across sexes, diagnoses, healthcare utilization levels, and educational attainment levels and was most pronounced for natural-cause mortality.

ConclusionsPremature mortality among people with severe mental illness forms a continuum across socioeconomic disadvantage, healthcare utilization, and diagnosis. Combining these measures can identify subgroups with the greatest mortality burden and may help target preventive interventions.

Related

  1. Socioeconomic deprivation and post-discharge mortality in heart failure: evidence from a nationwide universal health coverage system
    Hugo Guillermou, Vera Georgescu, Nicolas Girerd +4
    European Heart Journal. Quality of Care and Clinical OutcomesPeer-reviewedCC BY 4.0Full text3 citedGeneral biologyCardiovascular medicineHAL
  2. Regional Disparities in Cancer Mortality in Bulgaria: Socioeconomic and Healthcare Determinants
    KD Dokova, VA Vasileva, MD Minev +1
    The European Journal of Public HealthPeer-reviewedCC BY-NC 4.0Full textOncologyPMCEurope PMC
  3. NATIONAL TRENDS IN HOSPITALIZATIONS, IN-HOSPITAL MORTALITY, AND HEALTHCARE UTILIZATION FOR HODGKIN LYMPHOMA IN BRAZIL: A NATIONWIDE ECOLOGICAL STUDY (2014–2025)
    Laysa Andrade RADTKE, Felipe Andreani Camargo MANDUCO, Fernando CALLERA
    Hematology, Transfusion and Cell TherapyPeer-reviewedCC BYFull textEndocrinology & metabolismDOAJ
  4. Socioeconomic inequality in the completion of the continuum of care for maternal, newborn, and child health in Malawi
    Redson Mwandama, Spy Munthali
    Frontiers in reproductive healthPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Glucagon-Like Peptide 1 Receptor Agonists, Mortality, and Cardiovascular Outcomes in Serious Mental Illness
    Roger S. McIntyre, Yanli Zhang-James, Angela T. H. Kwan
    JAMA PsychiatryPeer-reviewedLicence not statedFull text1 citedEndocrinology & metabolismPMC
BibTeX
@misc{hjell2026mortality,
  title = {{Mortality gap continuum in severe mental illness: a nationwide study across healthcare and socioeconomic strata}},
  author = {G. Hjell and L. J. Hauge and R. Johansen and M. Straiton and P. H. Zahl and M. Haram and M. F. V. Veloz and O. E. Naess and C. M. Baravelli and A. K. S. Knudsen and K. Stene-Larsen and A. Reneflot and O. Plana-Ripoll and B. Kirkoen and M. Tesli},
  howpublished = {medRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.05.26364794},
  url = {https://www.medrxiv.org/content/10.64898/2026.10.05.26364794v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Mortality gap continuum in severe mental illness: a nationwide study across healthcare and socioeconomic strata
AU  - G. Hjell
AU  - L. J. Hauge
AU  - R. Johansen
AU  - M. Straiton
AU  - P. H. Zahl
AU  - M. Haram
AU  - M. F. V. Veloz
AU  - O. E. Naess
AU  - C. M. Baravelli
AU  - A. K. S. Knudsen
AU  - K. Stene-Larsen
AU  - A. Reneflot
AU  - O. Plana-Ripoll
AU  - B. Kirkoen
AU  - M. Tesli
PY  - 2026
DA  - 2026/10/05
PB  - medRxiv
DO  - 10.64898/2026.10.05.26364794
UR  - https://www.medrxiv.org/content/10.64898/2026.10.05.26364794v1
AB  - BackgroundA comprehensive overview of how premature mortality in severe mental illness varies by socioeconomic position and healthcare utilization is lacking.  MethodsWe followed all Norwegian residents aged 30-79 years on January 1, 2008, through December 31, 2023. Nationwide registry linkage provided data on mental illness in primary and specialist care, educational attainment, and cause of death.  We estimated the mortality gap as excess life-years lost from age 30 for depression, bipolar disorder, and schizophrenia compared with the general population, stratified by sex, healthcare utilization, and educational attainment. All-cause, external-cause, and natural-cause mortality were assessed using competing risks.  ResultsThe cohort comprised 2,486,836 individuals, including 483,933 with depression, 40,125 with bipolar disorder, and 21,963 with schizophrenia. Among men, the mortality gap ranged from 1.50 year (95% CI 0.36-3.34) among those with depression, non-inpatient care utilization, and university education to 19.86 years (18.34-21.36) among those with schizophrenia, inpatient care utilization, and less than high school education. Among women, the corresponding range was no gap to 18.16 years (17.03-19.53). Mortality gaps were generally larger with lower educational attainment and inpatient care utilization and increased from depression to bipolar disorder to schizophrenia. This pattern was consistent across sexes, diagnoses, healthcare utilization levels, and educational attainment levels and was most pronounced for natural-cause mortality.  ConclusionsPremature mortality among people with severe mental illness forms a continuum across socioeconomic disadvantage, healthcare utilization, and diagnosis. Combining these measures can identify subgroups with the greatest mortality burden and may help target preventive interventions.
ER  -