Urban-Rural Differences in Schizophrenia Risk: Multilevel Survival Analyses of Individual- and Neighborhood-Level Indicators, Urbanicity and Population Density in a Danish National Cohort Study.

general contextual effect multilevel survival analyses neighborhood-level domains schizophrenia specific contextual effect urbanization

Journal

Schizophrenia bulletin open
ISSN: 2632-7899
Titre abrégé: Schizophr Bull Open
Pays: United States
ID NLM: 101770329

Informations de publication

Date de publication:
Jan 2022
Historique:
medline: 21 12 2021
pubmed: 21 12 2021
entrez: 15 8 2024
Statut: epublish

Résumé

Urban-rural differences in schizophrenia risk have been widely evidenced across Western countries. However, explanation of these differences is lacking. We aimed to identify contextual risk factors for schizophrenia that explain urban-rural differences in schizophrenia risk. Utilizing Danish population-based registers, we partitioned Denmark into 1885 geographic "neighborhoods" homogeneously sized in terms of population. Information on the entire Danish population from 1981 to 2016 was used to quantify a spectrum of neighborhood-level domains. We subsequently conducted multilevel survival analyses following persons born in Denmark from 1971 to 1982 for the development of schizophrenia allowing for clustering of people within neighborhoods. We used this method to tease apart the effects of individual, specific, and general contextual risk factors for schizophrenia. A significant general contextual effect in schizophrenia risk across neighborhoods was estimated (Medium Incidence Rate Ratio (MRR):1.41; 95% CI:1.35-1.48). Most of the specific contextual factors examined were associated with schizophrenia risk. For instance, neighborhood-level proportion of lone adult households (Incidence Rate Ratios (IRR):1.53; 95% CI:1.44-1.63) had largest risk estimate. Adjustment for all individual-level and specific contextual constructs reduced the IRR for urbanicity from 1.98 (95% CI:1.77-2.22) to 1.30 (95% CI:1.11-1.51). In the largest prospective multilevel survival analyses of schizophrenia risk conducted to date, multiple neighborhood-level characteristics were associated with raised schizophrenia risk, with these contextual factors explaining most of the elevated risk linked with urbanicity. However, the unexplained heterogeneity that was evident in our multilevel models indicates that our understanding of the role of urbanicity in schizophrenia's etiology remains incomplete.

Sections du résumé

Background UNASSIGNED
Urban-rural differences in schizophrenia risk have been widely evidenced across Western countries. However, explanation of these differences is lacking. We aimed to identify contextual risk factors for schizophrenia that explain urban-rural differences in schizophrenia risk.
Methods UNASSIGNED
Utilizing Danish population-based registers, we partitioned Denmark into 1885 geographic "neighborhoods" homogeneously sized in terms of population. Information on the entire Danish population from 1981 to 2016 was used to quantify a spectrum of neighborhood-level domains. We subsequently conducted multilevel survival analyses following persons born in Denmark from 1971 to 1982 for the development of schizophrenia allowing for clustering of people within neighborhoods. We used this method to tease apart the effects of individual, specific, and general contextual risk factors for schizophrenia.
Results UNASSIGNED
A significant general contextual effect in schizophrenia risk across neighborhoods was estimated (Medium Incidence Rate Ratio (MRR):1.41; 95% CI:1.35-1.48). Most of the specific contextual factors examined were associated with schizophrenia risk. For instance, neighborhood-level proportion of lone adult households (Incidence Rate Ratios (IRR):1.53; 95% CI:1.44-1.63) had largest risk estimate. Adjustment for all individual-level and specific contextual constructs reduced the IRR for urbanicity from 1.98 (95% CI:1.77-2.22) to 1.30 (95% CI:1.11-1.51).
Conclusions UNASSIGNED
In the largest prospective multilevel survival analyses of schizophrenia risk conducted to date, multiple neighborhood-level characteristics were associated with raised schizophrenia risk, with these contextual factors explaining most of the elevated risk linked with urbanicity. However, the unexplained heterogeneity that was evident in our multilevel models indicates that our understanding of the role of urbanicity in schizophrenia's etiology remains incomplete.

Identifiants

pubmed: 39144779
doi: 10.1093/schizbullopen/sgab056
pii: sgab056
pmc: PMC11205963
doi:

Types de publication

Journal Article

Langues

eng

Pagination

sgab056

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the University of Maryland’s school of medicine, Maryland Psychiatric Research Center.

Déclaration de conflit d'intérêts

All authors declare no conflict of interest.

Auteurs

Carsten Bøcker Pedersen (CB)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.

Sussie Antonsen (S)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.

Allan Timmermann (A)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark.

Marianne Giørtz Pedersen (MG)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.

Linda Ejlskov (L)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.

Henriette Thisted Horsdal (HT)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.

Esben Agerbo (E)

National Centre for Register-Based Research, Aarhus BSS, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.

Roger T Webb (RT)

Division of Psychology and Mental Health, Faculty of Biology, Medicine & Health, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, UK.

Ole Raaschou-Nielsen (O)

Danish Cancer Society Research Center, Copenhagen, Denmark.

Torben Sigsgaard (T)

Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.
Department of Public Health, Aarhus University, Aarhus, Denmark.

Clive E Sabel (CE)

Big Data Centre for Environment and Health, Aarhus University, Aarhus, Denmark.
Department of Public Health, Aarhus University, Aarhus, Denmark.

Chun Chieh Fan (CC)

Department of Radiology, Population Neuroscience and Genetics Lab, University of California San Diego, La Jolla, CA, USA.

Wesley K Thompson (WK)

Division of Biostatistics and Department of Radiology, Population Neuroscience and Genetics Lab, University of California San Diego, La Jolla, CA, USA.

Classifications MeSH