Small Area Deprivation and Depression or Anxiety in a Nationwide Cohort

Importance: Prior studies suggest increased risk of mental health conditions in deprived residential areas, but robust evidence leveraging nationwide health care and prescription registers, including primary care, with socioeconomic databases is lacking. Objective: To examine the association between small-area deprivation and depression or anxiety in people aged 10 to 50 years without recent history of these conditions. Design, Setting, and Participants: This nationwide register-based cohort study with sibling analysis was conducted in Sweden January 1, 2015, through December 31, 2023, with analysis completed in January to September 2026. Participants were registered in Sweden throughout the study period, including siblings with discordant-exposure status. Exposure: Small-area deprivation in 2015 was defined for 5984 areas using an Index for Multiple Deprivation in Sweden categorized into quartiles. Main outcomes and measures: Depression or anxiety was defined as the first diagnosis or the first prescription date if no diagnosis was recorded in the study period. Hazard ratios (HRs) for the outcome through December 31, 2023, were computed using Cox regression models adjusted for confounders. Sibling analyses used stratified Cox regression with robust error variance. We separately tested for interactions between small-area deprivation and age, sex, and urbanicity in the association with the outcome. Results: A total of 4 065 375 participants (2 169 625 male [53.4%]; median [IQR] age, 30 [20-41] years), including 1 301 647 siblings, were included. Incidence rates per 1000 person-years for depression or anxiety varied across deprivation levels from 22.8 (95% CI, 22.7-22.9; very low) to 25.6 (95% CI, 25.5-25.7; very high). The HR for depression or anxiety associated with living in the most vs least deprived area was 1.18 (95% CI, 1.17-1.19) and 1.15 (95% CI, 1.13-1.17) in the sibling cohort. Urban (HR, 1.18; 95% CI, 1.17-1.19) and periurban (HR, 1.21; 95% CI, 1.18-1.23) residents in most vs least deprived areas had higher depression or anxiety rates than rural counterparts (HR, 1.11; 95% CI, 1.08-1.14). Conclusions and Relevance: In this study, people in the most vs least deprived areas had increased depression or anxiety rates, and the association remained in sibling comparisons. There were increased rates of depression or anxiety associated with living in the most vs least deprived areas of urban and periurban settings compared with rural settings, potentially reflecting worse outcomes in deprived urban areas or less contact with mental health services in remote and rural areas.

Authors

Institutions

Publication Details

Journal
JAMA Network Open
Published
2026-10-30
DOI
https://doi.org/10.1001/jamanetworkopen.2026.41218
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Small Area Deprivation and Depression or Anxiety in a Nationwide Cohort

Renee M. Gardner, Emily White Johansson, Susanne Wicks, Anna Ohlis et al.
1 links
JAMA Network Open
Health disparities and outcomes
article

Small Area Deprivation and Depression or Anxiety in a Nationwide Cohort

Renee M. Gardner, Emily White Johansson, Susanne Wicks, Anna Ohlis, Emilie Elisabet Agardh, Ahmed Nabil Shaaban, Mathias Mattsson
article en

Abstract

Importance: Prior studies suggest increased risk of mental health conditions in deprived residential areas, but robust evidence leveraging nationwide health care and prescription registers, including primary care, with socioeconomic databases is lacking. Objective: To examine the association between small-area deprivation and depression or anxiety in people aged 10 to 50 years without recent history of these conditions. Design, Setting, and Participants: This nationwide register-based cohort study with sibling analysis was conducted in Sweden January 1, 2015, through December 31, 2023, with analysis completed in January to September 2026. Participants were registered in Sweden throughout the study period, including siblings with discordant-exposure status. Exposure: Small-area deprivation in 2015 was defined for 5984 areas using an Index for Multiple Deprivation in Sweden categorized into quartiles. Main outcomes and measures: Depression or anxiety was defined as the first diagnosis or the first prescription date if no diagnosis was recorded in the study period. Hazard ratios (HRs) for the outcome through December 31, 2023, were computed using Cox regression models adjusted for confounders. Sibling analyses used stratified Cox regression with robust error variance. We separately tested for interactions between small-area deprivation and age, sex, and urbanicity in the association with the outcome. Results: A total of 4 065 375 participants (2 169 625 male [53.4%]; median [IQR] age, 30 [20-41] years), including 1 301 647 siblings, were included. Incidence rates per 1000 person-years for depression or anxiety varied across deprivation levels from 22.8 (95% CI, 22.7-22.9; very low) to 25.6 (95% CI, 25.5-25.7; very high). The HR for depression or anxiety associated with living in the most vs least deprived area was 1.18 (95% CI, 1.17-1.19) and 1.15 (95% CI, 1.13-1.17) in the sibling cohort. Urban (HR, 1.18; 95% CI, 1.17-1.19) and periurban (HR, 1.21; 95% CI, 1.18-1.23) residents in most vs least deprived areas had higher depression or anxiety rates than rural counterparts (HR, 1.11; 95% CI, 1.08-1.14). Conclusions and Relevance: In this study, people in the most vs least deprived areas had increased depression or anxiety rates, and the association remained in sibling comparisons. There were increased rates of depression or anxiety associated with living in the most vs least deprived areas of urban and periurban settings compared with rural settings, potentially reflecting worse outcomes in deprived urban areas or less contact with mental health services in remote and rural areas.

JAMA Network OpenVol. 9(10)
Higher Colleges of Technology (AE), Uppsala University (SE), Stockholm County Council (SE), Karolinska Institutet (SE)
Good health and well-being, Reduced inequalities
Openalex Percentile: Top 9%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon