Evidence map›Paper›PMID 29540253›Full record

ArticlePsychological medicine2019

Not urbanization level but socioeconomic, physical and social neighbourhood characteristics are associated with presence and severity of depressive and anxiety disorders.

Ellen Generaal, Erik J Timmermans, Jasper E C Dekkers, Johannes H Smit, Brenda W J H Penninx

Abstract read
In one paragraph

Article in Psychological medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Social inequalities in antidepressant treatment outcomes: a systematic review.Social psychiatry and psychiatric epidemiology · 2020
    Pooled it
  5. Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2020
    Pooled it
  6. Pooled it
  7. Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2019
    Pooled it
  8. Urban Mental Health: Perspectives of Local Stakeholders on Factors That Shape Mental Health of City Residents.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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  20. Noise and mental health: evidence, mechanisms, and consequences.Journal of exposure science & environmental epidemiology · 2025
    Review

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ellen GeneraalDepartment of Psychiatry,Amsterdam Public Health Research Institute, VU University Medical Center,Amsterdam,the Netherlands.
Erik J TimmermansDepartment of Epidemiology and Biostatistics,Amsterdam Public Health Research Institute, VU University Medical Center,Amsterdam,the Netherlands.
Jasper E C DekkersSpatial Information Laboratory,Department of Spatial Economics,Faculty of Economics and Business Administration,VU University Amsterdam,Amsterdam,the Netherlands.
Johannes H SmitDepartment of Psychiatry,Amsterdam Public Health Research Institute, VU University Medical Center,Amsterdam,the Netherlands.
Brenda W J H PenninxDepartment of Psychiatry,Amsterdam Public Health Research Institute, VU University Medical Center,Amsterdam,the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhich neighbourhood factors most consistently impact on depression and anxiety remains unclear. This study examines whether objectively obtained socioeconomic, physical and social aspects of the neighbourhood in which persons live are associated with the presence and severity of depressive and anxiety disorders.

methodsCross-sectional data are from the Netherlands Study of Depression and Anxiety including participants (n = 2980) with and without depressive and anxiety disorders in the past year (based on DSM-based psychiatric interviews). We also determined symptom severity of depression (Inventory of Depression Symptomatology), anxiety (Beck Anxiety Inventory) and fear (Fear Questionnaire). Neighbourhood characteristics comprised socioeconomic factors (socioeconomic status, home value, number of social security beneficiaries and percentage of immigrants), physical factors (air pollution, traffic noise and availability of green space and water) and social factors (social cohesion and safety). Multilevel regression analyses were performed with the municipality as the second level while adjusting for individual sociodemographic variables and household income.

resultsNot urbanization grade, but rather neighbourhood socioecononomic factors (low socioeconomic status, more social security beneficiaries and more immigrants), physical factors (high levels of traffic noise) and social factors (lower social cohesion and less safety) were associated with the presence of depressive and anxiety disorders. Most of these neighbourhood characteristics were also associated with increased depressive and anxiety symptoms severity.

conclusionThese findings suggest that it is not population density in the neighbourhood, but rather the quality of socioeconomic, physical and social neighbourhood characteristics that is associated with the presence and severity of affective disorders.

Indexed as

Social EnvironmentSocioeconomic FactorsAdolescentAdultAgedAnxiety DisordersCross-Sectional StudiesDepressive DisorderFemaleFollow-Up StudiesHumansMaleMiddle AgedNetherlandsNoise, TransportationResidence CharacteristicsAnxietycohort studiesdepressionenvironmentenvironment and public healthmental healthneighbourhoodresidence characteristicssocial environment

Identifiers

PMID29540253
PMCPMC6316373

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.