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J Boydell a Division of Psychological Medicine,
Institute of Psychiatry, Denmark Hill, London SE5 8AF, b Department of
Psychiatry and Neuropsychology, European Graduate School of
Neuroscience, Maastricht University, PO Box 616, 6200 MD Maastricht,
Netherlands, c Department of Clinical Research, Crichton Royal Hospital,
Dumfries DG1 4TG Correspondence to: J Boydell j.kelly{at}iop.kcl.ac.uk
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Abstract |
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Objective:
To determine whether the incidence of
schizophrenia among people from non-white ethnic minorities is greater
in neighbourhoods where they constitute a smaller proportion of the
total population.
Design:
Ecological design including retrospective study of case records to calculate the incidence of schizophrenia in
the ethnic minority population across electoral wards and multi-level analysis to examine interaction between individuals and environment.
Setting:
15 electoral wards in Camberwell, South London.
Participants:
All people aged 16 years and over who
had contact with psychiatric services during 1988-97.
Main outcome measure:
Incidence rates of schizophrenia
according to Research Diagnostic Criteria.
Results:
The incidence of schizophrenia in non-white ethnic minorities increased significantly as the proportion of such
minorities in the local population fell. The incidence rate ratio
varied in a dose-response fashion from 2.38 (95% confidence interval
1.49 to 3.79) in the third of wards where non-white ethnic minorities
formed the largest proportion (28-57%) of the local population to 4.4 (2.49 to 7.75) in the third of wards where they formed the smallest
proportion (8-22%).
Conclusion:
The incidence of schizophrenia in
non-white ethnic minorities in London is greater when they comprise a
smaller proportion of the local population.
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What is already known on this topic
What this study adds
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Introduction |
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Schizophrenia is a serious illness that results in considerable burden to sufferers, carers, and society. Understanding its aetiology is extremely important. An increased incidence of schizophrenia has been consistently reported in people of African-Caribbean and African origin who are resident in the United Kingdom1-3 and less consistently so in those of south Asian origin. 4 5 As the excess cannot be explained by any known biological risk factor, investigation has turned to the possible role of social environment.6-10
Research in the United States has shown an association between the proportion of an ethnic minority living in a particular area and their rates of admission for mental illness,11 but a national study in the United Kingdom could not replicate these findings.12 Clarification of this issue is important not only because of what it may tell us about the aetiology of schizophrenia but also because ethnic minority groups are gradually dispersing throughout the United Kingdom.
We investigated whether the proportion of ethnic minorities in a given
area was associated with their incidence rate of schizophrenia at an
electoral ward level. Our hypothesis was that the incidence rate
of schizophrenia in ethnic minorities would be highest in wards where
they made up a smaller proportion of the population. We examined data
on all new contacts with the psychiatric services over a 10 year period
and used multi-level modelling techniques to examine interactions
between individuals and environment.
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Methods |
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Identification of participants
We collected clinical and demographic information on all people
from a defined area of south London (previously the London Borough of
Camberwell) who presented with psychosis during 1988-97. All
psychiatric services for the area during this period were provided by
the Bethlem Royal and Maudsley NHS Trust through hospital and community
teams. We identified cases from hospital computer records by generating
a list of all people admitted with any possible psychotic illness as
defined by ICD-9 (international classification of diseases and related
health problems, ninth revision) codes 295, 295.6, 296, 296.2, 296.4, 297, 298, and 292.1, and ICD-10 (tenth revision) codes F20, 25, 22, 30, 31.3, 31.2, 31.6, 28, 29, 12.5, 16.6, 19.5, 16.75, and 19.75. We also
examined case notes of all patients from the area who had psychiatric
hospital records to identify people who made contact with services but were not admitted to hospital.
=0.79). The checklist is based on phenomenological descriptions in the present state
examination15 and enables a computer diagnosis of Research
Diagnostic Criteria schizophrenia to be made with the associated
computer program.16
Ethnic and sociodemographic status
We classified ethnicity on the basis of that recorded by the
patients themselves, according to categories used by the Office of
Population Censuses and Surveys. We also noted the patient's and his
or her parents' place of birth, when available, and any description of
colour (mental state examinations routinely comment on appearance). We
used this information to determine ethnicity for those patients who did
not have statements of self assigned ethnicity. A check on this method
was carried out by Castle et al, who compared results with those from
previous direct interviews and found no errors in 34 patients.17 Because the population projections at ward
level were not accurate enough to calculate population data separately
for each ethnic minority, we were able to split the population into
only two groups: a white group (self assigned ethnicity white) and
non-white group (all other self assigned ethnicities). The non-white
population was about 40% Caribbean, 30% African, and 10% other.
Incident cases were assigned to either white or non-white groups. Thus
the effect we measured was that of non-white ethnic minority status.
Analysis
We carried out indirect standardisation with the Research
Diagnostic Criteria rates of schizophrenia for the total 10 year
population as the standard and applied them to each ward, stratifying
for age, sex, and ethnic minority using the ISTDIZE procedure in the
Stata statistical program (StataCorp, College Station, TX). The
standardisation used the stratum specific rates of the standard
population to calculate the expected number of cases for each ward and
the adjusted incidence rates at ward level. We calculated the
standardised incidence ratio by dividing the number of cases observed
by the expected number.
that is, are the wards different with regard to the incidence
of schizophrenia; and, secondly, ward and individual fixed
effects
that is, does the factor being studied make neighbourhoods different with regard to the incidence of schizophrenia. We examined the fixed effects of age, sex, and non-white ethnic minority status at
the individual level and deprivation and ethnic density (proportion of
ethnic minorities) in thirds of distribution (highest, middle, lowest)
at ward level. We carried out multilevel Poisson regression analysis to
calculate incidence rate ratios for Research Diagnostic Criteria
schizophrenia for individual and ward variables and to test for
interaction between non-white ethnic minority status at the individual
level and proportion of non-white ethnic minority at the neighbourhood
level. Interaction terms were assessed by likelihood ratio tests. We
adjusted associations between schizophrenia and individual level
non-white ethnic minority status and ward level proportion of non-white
ethnic minority for age, sex, and ward level of deprivation.
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Results |
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For the period 1988-97 we identified 126 (57%) men and 96 (43%) women as first onset cases, all of whom met Research Diagnostic Criteria schizophrenia. The mean age was 35.4 years (SD 18.0), and 126 (57%) were non-white. Of the white patients, 10 were born in the Republic of Ireland and five were born outside the United Kingdom or Republic of Ireland.
The multi-level Poisson model of incidence of schizophrenia without
covariates showed a significant random ward effect
(
2=3.9, df=1, P<0.05), indicating that wards
differed with respect to incidence of schizophrenia. The incidence,
adjusted for individual level age, sex, and non-white ethnic group,
varied from 12 to 38 per 100 000 person years (table 1). Table 2
shows the effects of explanatory variables on incidence rate ratios at
individual and neighbourhood
level.
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There was a significant negative interaction between individual level
non-white ethnic minority status and the proportion of non-white ethnic
minorities at neighbourhood level (
2=3.9, df=1,
P<0.05). Thus the analysis, stratified by thirds of proportion of
non-white ethnic minorities, revealed that as the proportion in a given
population decreased, the rate of schizophrenia in non-white ethnic
minorities increased (table 3). Indeed, there was a
"dose-response" relation with increasing incidence in non-white ethnic minorities as the proportion of such minorities in an area fell.
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Discussion |
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Our data show an inverse dose-response relation between the proportion of people from a non-white ethnic minority group living in an area and their incidence rate for schizophrenia.
Methodological issues
The strengths of our study are that all psychiatric contacts were
included (not just admissions) and that diagnostic objectivity was
maximised by using computer generated diagnoses. There were, however,
concurrent weaknesses. We assumed that all people with schizophrenia
will come into contact with the psychiatric services. If there was
differential ascertainment across wards, this could have affected the
results. We took care to estimate the ward level populations as
accurately as possible, but if differential underenumeration
between wards had occurred during the census, this could have biased
the results, although not necessarily in the direction of our findings.
Our study was a retrospective case record study, but clinical staff
rotated through jobs that covered the different electoral wards. Our
results would have been biased only if case notes were recorded
differently for different electoral wards, and this is unlikely.
Finally, our methods could be criticised because the white group
contained individuals from white ethnic minority groups, most of whom
were born in the Republic of Ireland.
Previous findings
Our results are consistent with those from studies in the United
States that have found an inverse correlation between an individual's
risk of mental illness and the relative proportion of their ethnic
group living in an area.
11 21 22
Cochrane and Bal
calculated first and total admission rates for schizophrenia for the
whole of England in 1981 for 15 different ethnic groups on the basis of
place of birth.12 Their analysis between and within groups
did not find that rates increased as the relative size of the ethnic
group decreased, with the exception that there was a strong significant
negative correlation (
0.86, P<0.01) between admission rates for
schizophrenia and relative size of the population born in the Republic
of Ireland.
Interpretation
Our results could be due to selection bias in that people who
choose to live in areas where they are more isolated from their own
ethnic community, perhaps during a prodromal period, could be more at
risk of developing schizophrenia. This seems unlikely as only limited
choice is possible because most housing in Camberwell is local
authority (public) housing.
Mechanism
Our findings point towards there being a social risk factor
for the increased rate of schizophrenia reported in non-white ethnic
minorities in the United Kingdom. What seems to be important is the
absolute number or concentration of people from non-white ethnic groups
in the immediate vicinity. Thus, a possible mechanism is increased
exposure to, and/or reduced protection against, stress and life events.
Specific stresses for people in ethnic minority groups could be overt
discrimination, institutionalised racism, and perceived alienation,
isolation, and anomie.23 The more isolated a member of an
ethnic minority, the more likely he or she may be to encounter such
stresses.24 People from ethnic minorities may be more
likely to be singled out or be more vulnerable when they are in a small
minority. Reduced protection from the effects of such stresses
could be due to decreased social networks or social buffers in small or
dispersed ethnic minority populations.
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Acknowledgments |
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Contributors: RMM, RGM, JB, and JA designed the study. JB, RG, and JvO collected the data. KM, JB, and JvO discussed the analysis, which was carried out by JvO. JB, JvO, KM, RG, and RGM discussed and interpreted the results. The paper was written by JB, KM, JvO, and RMM. JB is the guarantor for the paper.
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Footnotes |
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Funding: JB was supported by the Stanley Foundation and the Gordon Small Trust.
Competing interests: None declared.
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References |
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(Accepted 29 August 2001)
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