Table 1.
Social Ecological Studies of Schizophemia Over the Last Decade
| Reference | Geographical Area | Area Measure of Social Environmenta | Individual Risk Factors Included | Outcome Psychosis Measureb | Statistical Analysisc | Effect Measured | Results/Conclusionse |
| Curtis et al18 | Zip codes (New York) Electoral wards (London) |
D: index of multiple deprivation SFI EPB |
None | SARs, all admissions, ICD 9/10 schizophrenia, 15–64 age group | Bayesian Poisson regression | Mean values of beta coefficient | Deprivationf +, 0.73 (0.61, 0.85) SFI +, 0.34 (0.19, 0.45) EPB NSS −0.09 (−0.20, −0.037) EPB +, in New York |
| Allardyce et al4 | Postcode sectors (all of Scotland) | D: Carstairs scores SFI |
None | SARs, first ever admissions, ICD 9 psychosis, 15–64 age group Dichotomized into high/low rates at 75th percentile |
Logistic regression | OR High rate category |
SFI +OR for the most fragmented category, 12.84 (5.71, 28.88) Carstairs scores +OR for the most deprived category, 5.29 (1.49, 18.75) |
| Boydell et al25 | Electoral wards in London | Index of inequality D: categories of absolute deprivation Proportion of ethnic minorities |
Age Sex Member of nonwhite ethnic minorities Ethnicity × area proportion of ethnic minorities |
Treated incidence of RDC schizophrenia | Multilevel Poisson regression | SIRs | Inequality: NSS for whole sample Interaction with absolute deprivation and inequality demonstrated that in the most derived areas there was an inequality +, most deprived areas IRR, 3.79 (1.25, 11.49) |
| Logdberg et al26 | 87 administrative units in Sweden | Community questionnaire of fear of crime Factor 1: characterized social cohesion and victimization and fear of property crime Factor 2: victimization and fear of crime to the person |
None | I year prevalence, DSM (IV) schizophrenia | Product moment correlation of factors and prevalence rates of schizophrenia | Correlation and partial correlation | Factor 1 +, r = 0.63, P < .001 Factor 2 +, r = 0.47 P < .47 Both were correlated Partial correlation Factor 1, 0.51 P < .001 Factor 2, 0.19 P < .001 |
| Silver et al16 | Census tracts in 4 US cities | D: factor analyses of census variables created 2 factors Neighborhood disadvantage Residential mobility Racial homogeneity (>90% ethnic same proportions) |
Sex Age Race Education Marital status Household income |
Prevalence of schizophrenia, DIS-interviewed DSM (III) schizophrenia, 18–96 age group | Binomial hierarchical linear regression | OR presence of schizophrenia in year of interview with 1 SD change in predictor variable | Neighborhood disadvantage was NSS 1.16 (0.92, 1.46) After adjustment for individual, education, household income, and marital status Social mobility +, 1.27 (1.02, 1.59) Ethnic mix NSS 0.90 (0.73, 1.11) |
| Boydell et al21 | Electoral wards in London | Proportion of nonwhite ethnic minorities Deprivation: composite Index of local conditions |
Age Sex Self-assigned nonwhite ethnic minority |
All new cases, RDC schizophrenia | Multilevel Poisson regression | SIRs | Proportion of ethnic minorities NSS 0.83 (0.63, 1.1) However, evidence cross-level interaction ethnicity Stratified analysis: IRR 4.4 (2.49, 7.75) areas with lowest ethnic density Deprivation NSS 1.05 (0.98, 1.13) |
| Peen and Dekker14 | 81 neighborhoods in Amsterdam | D: EFA identified Housing factor Socioeconomic deprivation |
None | First admissions rates, ICD 9 schizophrenia, 4-year period | Categories of area deprivation generated 1 least-deprived to 4 most deprived ANOVA Pearson's correlation factor scores with SARs | SARs | 1-way ANOVA 1 < 2, 3, 4 and 2, 3 < 4 f = 17.18 df = 3, P < .001 r = 0.54 (P < .001) |
| van Os et al22 | Small traditional neighborhoods in Maastricht | Proportion of single and divorced Area-level proportions of rental support Nonvoters Welfare dependent Foreign born Unemployed Residential mobility New housing |
Gender Age Marital status |
Incidence of clinically diagnosed schizophrenia, age, 15–64 | Multilevel Poisson regression | SIRs | Neighborhood proportion single +, IRR 1.02 (1, 1.03) Proportion divorced +, IRR 1.12 (1.04, 1.21) per 1% increase Individual-level single risk conditioned on the cross-level interaction with neighborhood single proportions |
| Croudace et al13 | Electoral wards in Nottingham | D: Mental Illness Needs Index | None | Treated incidence of ICD 10 psychosis | Generalized linear models, generalized additive models Poisson regression |
Rank correlation SIRs |
Deprivation +, correlation Spearman's ρ 0.44 (z = 4.52, P < .01) Nonlinear |
| Koppel et al20 | Electoral wards in South Glamorgan | D: Jarman, Carstairs, Townsend Single census variables |
None | Episode-based admissions, ICD 9 schizophrenia | Product moment correlation Linear regression to determine which single wards-level indicator best predicted for crude rates of schizophrenia |
Crude admission rates | Deprivation + Jarman 0.74 Townsend 0.69 Carstairs r = 0.68 Single-level no car best predicted admissions for schizophrenia |
| Goldsmith et al15 | Census tracts in 5 US cities | D: median household income Proportion of nonwhite |
Age Gender Marital status Race Education |
Prevalence of schizophrenia, DIS-interviewed DSM (III) schizophrenia | Main-effects logistic multiple regression model | OR presence of schizophrenia in year of interview | Deprivation +, 2.14 (1.01, 4.53) in the most deprived category compared with least Ethnic proportion NSS |
| Boardman et al17 | Electoral wards in North Staffordshire | D: Jarman, Townsend Single census variables |
None | Episode-based admissions, ICD 9 schizophrenia, nonaffective psychosis | Pearson correlation Linear regression |
SARs | Deprivation +, r ranged from 0.24 to 0.59 |
| Harvey et al19 | Electoral wards in Camden | D: Jarman Single-component variables |
None | All cases in contact with service Broad Feigner DSM (III R) schizophrenia |
Normal linear regression Logistic regression |
Point prevalence | Deprivation + Unemployment NLR: t = 4.74, P < .0005 Predictive error > Narrow definitions of schizophrenia |
D: deprivation; EPB: ethnic proportion black; EFA: exploratory factor analysis.
SAR: standardized admission ratio; ICD: international classification of diseases; RDC: research diagnostic criteria; DIS: diagnostic interview schedule; DSM: diagnosis and statistical manual of mental disorders.
ANOVA: analysis of variance.
OR: odds ratio; SIR: standardized incidence ratio; SD: standard deviation.
IRR: incident rate ratio; +: positive association, which is statistically significant; NSS: no statistically significant association; NLR: normal linear regression.
Effect size only shown for London males.