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Dominic C Heaney a Department of Clinical and Experimental Epilepsy,
Institute of Neurology, University College London, London WC1N
3BG, b Environmental Epidemiology Unit, London School of Hygiene and
Tropical Medicine, London WC1E 7HT Correspondence to: J W S Sander
l.sander{at}ion.ucl.ac.uk
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Abstract |
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Objective:
To determine the incidence of epilepsy in a general practice population and its variation with socioeconomic deprivation.
Design:
Prospective surveillance for new cases over an 18 or 24 month period.
Participants:
All patients on practice registers
categorised for deprivation with the Carstairs score of their postcode.
Setting:
20 general practices in London and south
east England.
Main outcome measure:
Confirmed diagnosis of epilepsy.
Results:
190 new cases of epilepsy were identified during 369 283 person years of observation (crude incidence 51.5 (95%
confidence interval 44.4 to 59.3) per 100 000 per year). The incidence
was 190 (138 to 262) per 100 000 in children aged 0-4 years, 30.8 (21.3 to 44.6) in those aged 45-64 years, and 58.7 (42.5 to 81.0) in
those aged
65 years. There was no apparent difference in incidence
between males and females. The incidence showed a strong association
with socioeconomic deprivation, the age and sex adjusted incidence in
the most deprived fifth of the study population being 2.33 (1.46 to
3.72) times that in the least deprived fifth (P=0.001 for trend
across fifths). Adjustment for area (London v outside
London) weakened the association with deprivation (rate ratio 1.62 (0.91 to 2.88), P=0.12 for trend).
Conclusions:
The incidence of epilepsy seems to
increase with socioeconomic deprivation, though the association may be confounded by other factors.
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What is already known on this topic
A small number of epidemiological studies have confirmed this association but have not established the direction of causality What this study adds
Socioeconomic deprivation is an important risk factor for the development of epilepsy, though the results may partly reflect differences in incidence within and outside London |
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Introduction |
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Epilepsy is associated with a wide range of markers of social and economic disadvantage, including poor academic achievement, unemployment, underemployment, and low income.1-4 Because of this association it is often assumed that people who are socially and economically deprived are more likely to develop epilepsy. This hypothesis is supported to some extent by the observation that the incidence of epilepsy is higher in developing countries than in developed countries.5
A few epidemiological studies have confirmed an association between the prevalence of epilepsy and markers of social disadvantage.6 Prevalence studies, however, cannot establish the direction of causality, and the employment problems and social disadvantage experienced by people with epilepsy may cause downward social "drift."7 The association between socioeconomic factors and incident epilepsy is poorly understood8 and to date has not been examined within the general community with methods that prospectively ascertain cases.
The NHS and the World Health Organization aim to reduce inequalities in
health.
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This can be achieved by concentrating resources on conditions that affect socially and economically deprived
people. Understanding of the role that deprivation has in epilepsy
gives insight into its aetiology and management. We determined the
incidence of epilepsy in an unselected community based population and
its variation with socioeconomic deprivation.
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Methods |
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Over an 18 or 24 month period we prospectively ascertained all incident cases of epilepsy in an unselected community population served by eight general practices in London (86 989 person years) and 12 practices outside London (282 294 person years). For these practices we were sole providers of secondary care for seizure disorders.
We advertised the linkage scheme to all general practices within the region. Practices that were willing to cooperate were selected if their patient details were stored on a computerised database. The follow up time differed because of researcher funding.
The practices outside London were all in south east England. Epilepsy was defined as the occurrence of one or more unprovoked seizure. We excluded provoked seizures, acute symptomatic seizures, and febrile convulsions.
We used a range of methods to identify cases of epilepsy, including a fast track clinic and active surveillance. An audit that involved a systematic search of all individual primary care records was performed at the end of the study period. This was 24 months (1 June 1995 to 31 May 1997) in 12 practices and 18 months (1 January 1995 to 30 June 1997) in the eight remaining practices. The methods by which cases were ascertained have been fully described previously.11
For each patient we collected clinical and demographic data, including postcode. Data were anonymised before analysis. The postcodes were used to assign to each individual a Carstairs score of social deprivation for the enumeration district in which he or she lived. An enumeration district on average contains 140 households and is the smallest area for which census data are available. The Carstairs score is an index of deprivation based on four variables available from the 1991 census: overcrowding, social class of head of household, car ownership, and unemployment.12 The distribution of the scores was banded into fifths, with the lowest fifth denoting the least deprived and the highest fifth the most deprived.
Statistical analysis
We calculated incidence rates of epilepsy by five year age group
and by sex using person time at risk (18 or 24 months, depending on
area). We based the multivariate analysis on random effects Poisson
regression with the Huber-White estimator of variance and specified
practice level clustering to allow for similarity of rates within
practices. We grouped Carstairs scores into fifths for analysis.
Reported P values represent tests for linear trend applied to the
grouped data.
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Results |
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We identified 268 new cases of seizures during 369 283 person years of observation (see table A on bmj.com). We excluded 78 cases of provoked or acute seizures and febrile convulsions. The 190 remaining cases were included in the analysis, giving a crude incidence rate of 51.5 (95% confidence interval 44.4 to 59.3) per 100 000 per year.
We found a strong relation between incidence of epilepsy and age. The
incidence was highest between 0 and 4 years and lowest between 45 and
64 years (table 1). Males and females had similar incidence of
epilepsy. We observed a steep rise in incidence with socioeconomic
deprivation (tables 1 and 2, figure). The incidence, adjusted for age
and sex, in the most deprived fifth of the study population was 2.33 (1.46 to 3.72) times that in the least deprived fifth (P=0.001 for
trend). There were similar socioeconomic gradients in the 0-14, 15-64, and
65 age groups
(figure).
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Populations served by London practices, however, were more
deprived on average than those outside London. When we considered mean
Carstairs scores of the nine most deprived practice populations, eight
were based in London and the overlap in deprivation scores of
individuals in London and non-London practices was small (see table A
on bmj.com). When we made an additional adjustment for area, the
association between epilepsy incidence and deprivation fifth was
weakened and was not significant at the 5% level (table 2).
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Discussion |
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This prospective study based on an unselected population represents the first to examine socioeconomic status as a risk factor for the development of epilepsy. The overall incidence rates obtained are comparable with those from previous epidemiological studies of incidence in the United Kingdom.5
Our main observation was the relation between the incidence of
epilepsy and Carstairs deprivation score. However, interpretation of
this apparent association is complicated by the fact that the main
contrasts in deprivation were those between the populations in London
and outside London. Indeed, in the multivariable analyses, when we made
additional adjustment for area (London versus outside London) the
strong gradient with deprivation was somewhat weakened
though the
broad pattern remained
and the association was no longer significant (P=0.12 for trend). The question then is whether the observed deprivation gradient represents a "cause and effect" association or
whether it is a spurious (confounded) association generated by a London
versus outside London difference in some factor that affects incidence
or case ascertainment, or both.
Alternative interpretations of results
There are three possible explanations. Firstly, patients may have
had different access to epilepsy services or diagnostic facilities in
the two areas. We think this is unlikely to have had an appreciable
effect because of our dedicated surveillance and reporting methods that
included a general practice-hospital linkage scheme, with standardised
access to diagnostic facilities and epilepsy services. Also an audit of
all patient records in participating practices found no evidence of any
systematic difference in case reporting between
practices.11 Thus, the procedures for reporting and
referral should have minimised the possibility of variation in case identification.
Secondly, there may be differences in other demographic factors such as ethnicity. Ethnicity has been identified as a determinant of incidence in several US community based epilepsy studies, with epilepsy being more common among Afro-Americans than the white population. 8 14 15 In the United Kingdom, a retrospective study found epilepsy to be less prevalent among people of south Asian origin,16 although this may be because of lower reporting among this group or a lower prevalence due to selective immigration.
In our study, the proportion of people of Afro-Caribbean, African, or Asian descent was relatively small and varied little between practices, though records of ethnic background were not available for individual patients. Overall, the proportion of non-white patients was no greater than 10% in any of the general practices, and it is therefore unlikely that confounding by ethnicity could account for the strong deprivation gradient we observed.
Thirdly, practices in and outside London may have differed in the
accuracy and completeness of their patient registers. Because of high
population mobility within inner city areas, general practices in
London may be more susceptible to "list inflation"
that is, to
have more people on their lists than they should because patients who
move from the practice area are not removed from registry lists. Where
this occurs the population at risk would be overestimated and hence the
incidence of epilepsy would be underestimated. Again we believe the
magnitude of this problem was small in this study because all
participating practices had good computerised systems and were obliged
by the health authority to update their patient lists regularly.
Moreover, the likely direction of bias would almost certainly act to
diminish any association with socioeconomic gradient as the incidence
rates would be underestimated in the more deprived practices within the
London area.
Thus, we consider that these explanations are unlikely to account for the deprivation gradient we observed, and we conclude that the evidence is in favour of poor socioeconomic status being a risk factor for the development of epilepsy. This is a pattern similar to that seen for a range of other conditions such as coronary artery disease and many cancers, whose incidences show strong gradients with socioeconomic class.13
Possible mechanisms
The pathophysiological mechanisms by which low socioeconomic
status might increase risk of epilepsy are not clear. But several other
risk factors such as incidence of birth defects, trauma, infection, and
poor nutrition are known to be more common among socioeconomically
deprived populations. These would certainly provide a plausible reason
for a higher incidence of epilepsy in more disadvantaged groups.
Genetic factors may also have a role. The children of parents with
epilepsy are more likely to develop seizures, and when one parent is
affected the probability of a child developing epilepsy before the age
of 20 years is raised from 1% in the general population to
6%.17 The genetic basis for many epilepsies is
increasingly being recognised, although the relation between genetic
factors and social disadvantage is likely to be complex. Although
children of parents with epilepsy may be socially disadvantaged because
of their parent's condition, genes associated with epilepsy may also
be important in determining educational achievement and other aspects
of medical health.
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Acknowledgments |
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We thank the general practitioners in the participating practices who allowed us access to their surgeries and assisted in the identification of patients with epilepsy. We also thank Dr Ben Armstrong for advice on statistical methods.
Contributors: DCH, PW, JWS, and GSL conceived and designed the study. AE and BKM were responsible for case ascertainment and reviewed all cases. JWS confirmed the diagnosis in all cases. DCH collected all data on the denominator populations. GSL, SS, and PW designed and performed the statistical analysis. DCH, PW, and JWS wrote the manuscript. All authors reviewed and approved the final draft. JWS is guarantor.
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Footnotes |
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Funding: Wellcome Trust, Brain Research Trust, the University College Hospital NHS Trust, National Society for Epilepsy. PW is funded by a Public Health Career Scientist Award.
Competing interests: None declared.
An extra table of details of the
general practices can be found on bmj.com
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References |
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(Accepted 30 May 2002)