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and correlates of self-reported psychotic symptoms in the British populationLouise
C. Johns, Mary Cannon, Nicola Singleton, Robin M. Murray, Michael Farrell, Traolach
Brugha, Paul Bebbington, Rachel Jenkins, Howard Meltzer British
Journal of Psychiatry (2004), 185: 298-305 Correspondence:
Dr L.C. Johns, PO67 Department of Psychological Medicine, Institute of Psychiatry,
De Crespigny Park, London SE5 8AF, UK. E-mail: ljohns@iop.kcl.ac.uk Declaration
of interest None. ABSTRACT
Background: The psychosis phenotype is generally thought
of as a categorical entity. However, there is increasing evidence that psychosis
exists in the population as a continuum of severity rather than an all-or-none
phenomenon. Aims:
To investigate the prevalence and correlates of self-reported psychotic symptoms
using data from the 2000 British National Survey of Psychiatric Morbidity. Method:
A total of 8580 respondents aged 16-74 years were interviewed. Questions covered
mental health, physical health, substance use, life events and socio-demographic
variables. The Psychosis Screening Questionnaire (PSQ) was used to identify psychotic
symptoms. Results:
Of the respondents, 5.5% endorsed one or more items on the PSQ. Factors independently
associated with psychotic symptoms were cannabis dependence, alcohol dependence,
victimisation, recent stressful life events, lower intellectual ability and neurotic
symptoms. Male gender was associated with paranoid thoughts, whereas female gender
predicted hallucinatory experiences. Conclusions:
Self-reported psychotic symptoms are less common in this study than reported
elsewhere, because of the measure used. These symptoms have demographic and clinical
correlates similar to clinical psychosis. In
recent years there have been suggestions that psychosis exists in the general
population as a continuous phenotype rather than as an all-or-none phenomenon
(van Os et al, 2000). The existence of a psychosis continuum has been found in
several large-scale community surveys. In the US National Comorbidity Survey,
28% of individuals endorsed psychosis-screening questions although the rate of
clinician-defined psychosis was only 0.7% (Kendler et al, 1996). In the Dunedin
birth cohort, 25% of the sample at age 26 years reported at least one delusional
or hallucinatory experience that was unrelated to drug use or physical illness,
but only 3.7% actually fulfilled criteria for schizophreniform disorder (Poulton
et al, 2000). Data on psychotic symptoms were collected as part of the Dutch NEMESIS
study (van Os et al, 2000). This representative general population sample of 7076
men and women was interviewed using the Composite International Diagnostic Interview
(CIDI), which contains 17 core positive psychosis items; 17.5% of the sample scored
at least one on any type of positive psychosis rating but only 2.1% received a
DSM-III-R (American Psychiatric Association, 1987) diagnosis of non-affective
psychosis. Together, these findings suggest that only a small part of the total
phenotypic continuum of psychosis is represented by clinically verified and defined
cases. Psychotic symptoms in the general population are associated with certain
risk factors (e.g. urban residence or younger age group; Verdoux et al, 1998;
van Os et al, 2000, 2001). Furthermore, the risk factors for psychotic symptoms
mirror those for clinical psychosis, supporting the continuum hypothesis. Individual
psychotic symptoms also seem to have specific correlates, suggesting different
risk factors for these symptoms. For example, it has been reported that paranoia
is associated with experience of victimisation (Janssen et al, 2003) and that
hallucinatory experiences are more common among people of Caribbean origin living
in Britain (Johns et al, 2002). We used data from a large cross-sectional survey
of the British population to examine the distribution and correlates of self-reported
psychotic symptoms. We also examined whether there were any specific demographic
and clinical correlates of paranoid thoughts and hallucinatory experiences.
METHOD Sample The data were obtained from the second
National Survey of Psychiatric Morbidity in Great Britain, conducted in 2000 by
the Office for National Statistics (ONS). The survey examined the prevalence of
mental health problems among adults aged 16-74 years living in private households
in Great Britain. It covered mental health, physical health, drug and alcohol
use, life events, service use and socio-demographic variables. The sample was
drawn from the small-user Postcode Address File using a two-stage approach. Initially,
postcode sectors were stratified on the basis of socio-economic status within
region and 438 sectors were chosen with a probability proportional to size. Then,
within each sector, 36 addresses were randomly selected for inclusion in the survey.
One adult aged 16-74 years was interviewed in each household. The survey used
a two-phase design. First-phase interviews were carried out by interviewers from
the ONS field force. Personal interviews were carried out with 8580 adults (a
response rate of 67%). Individuals who scored positively on one or more psychosis
criteria were part of a sub-sample who had a follow-up second-phase interview
by a clinician. Details of the survey methods can be found in Singleton et al
(2001). Assessment
of psychotic symptoms In the initial interview, the Psychosis Screening
Questionnaire (PSQ; Bebbington & Nayani, 1995) was used to assess psychotic
symptoms in the past year. The PSQ has five probe questions (plus secondary questions)
enquiring about mania, thought insertion, paranoia, strange experiences and hallucinations
(see Appendix). Respondents were asked all the items from the PSQ without the
usual procedure of cutting off after a section was answered positively. For
the current analyses, we selected individuals who endorsed one or more psychotic
symptom (initial probe plus secondary questions) on the PSQ. Because we wanted
to examine psychotic experiences in non-clinical subjects, we first excluded those
people with definite or probable psychosis (defined below). Assessment
of psychosis Four criteria from the first-phase interview were considered
likely to be indicative of psychosis: a self-reported diagnosis or symptoms suggestive
of psychotic disorder; taking anti-psychotic medication; a history of admission
to a psychiatric hospital or ward; a positive response to question 5a of the PSQ
(auditory hallucinations). Respondents who met one or more of these psychosis
screening criteria were selected for a follow-up interview using the Schedules
for Clinical Assessment in Neuropsychiatry (SCAN; World Health Organization, 1992a).
Algorithms then were used to classify respondents into ICD-10 (World Health Organization,
1992b) psychosis categories. Some people selected for a second-phase interview
could not be contacted or refused a second interview; in these cases, an assessment
of 'probable psychosis' was assigned to those who scored positively on two or
more of these psychosis criteria. Correlates
Based on previously reported associations with psychotic symptoms (Verdoux
et al, 1998; van Os et al, 2000, 2001; Johns et al, 2002; Janssen et al, 2003),
the following variables were selected. - Socio-demographic
characteristics: age, gender, ethnic origin, area of residence, educational qualifications
and intellectual functioning.
- Alcohol
dependence, assessed by the Severity of Alcohol Dependence Questionnaire (SAD-Q;
Stockwell et al, 1983).
- Drug
use, drug dependence and cannabis dependence. Dependence was assessed with five
specific questions, a positive response to any of which was taken to indicate
dependence (Singleton et al, 2001).
- Neurotic
symptoms (anxiety/depression), measured using the revised Clinical Interview Schedule
(CIS-R; Lewis et al, 1992). Individuals with scores above 12 were classified as
having neurosis.
- Life
events. Respondents were asked whether they had experienced any of 11 stressful
life events taken from the List of Threatening Experiences (life events with long-term
threat; Brugha et al, 1985) in the 6 months prior to interview. The life events
are: serious illness, injury or assault to you; serious illness, injury or assault
to a close relative; death of a close relative; death of a close friend/other
relative; separation or divorce; serious problem with a close friend, neighbour
or relative; made redundant or sacked; unemployed/seeking work for more than 1
month; major financial crisis; problem with police and court appearance; something
valued that is lost or stolen.
- Victimisation
events. Respondents were asked whether they had ever experienced any of the following:
bullying; violence at work; violence in the home; sexual abuse; being expelled
from school; running away from home; being homeless.
Analyses
The data were analysed using the Statistical Package for the Social Sciences
(version 11.0 for Windows). Binary logistic regression analyses were used to ascertain
which factors were associated with the presence of psychotic symptoms. Associations
were expressed as odds ratios (ORs). Sixty people (0.7%) with probable psychosis
were excluded from the analyses, 27 of whom met the criteria for functional psychosis
following a SCAN interview. We
examined the factors associated with the presence of any psychotic symptom (endorsement
of initial plus secondary questions on one or more items of the PSQ). First, the
predictor variables were entered individually to obtain unadjusted odds ratios.
Age was collapsed into three age bands (16-34, 35-54, 55-74). Information about
ethnic origin was divided into four groups: White, Black, South Asian and Other.
Area of residence was divided into urban and rural. Educational qualifications
covered three groups: none, GCSE level, A-level or above. Verbal IQ was estimated
from respondents' scores on the National Adult Reading Test (NART; Nelson, 1982).
Alcohol dependence was classified as present or absent. Drug use was any drug
used in the last month (yes/no); and drug dependence was classified as no dependence,
dependent on cannabis only or dependent on other drug. Experience of life events
and victimisation events was classified dichotomously (yes/no). Second, all the
significant variables were entered together to obtain the relative odds of psychotic
symptoms controlling for interrelationships between these variables. We
examined whether specific factors were associated with the presence of either
paranoid thoughts or hallucinatory experiences. These items were chosen because
previous studies have suggested that they are associated with particular risk
factors (Johns et al, 2002; Janssen et al, 2003). The response variables selected
were 'Have there been times when you felt that people were deliberately acting
to harm you or your interests?' and 'Have there been times when you heard or saw
things that other people couldn't?' In order to examine specific risk factors,
the analyses for each variable included individuals who had endorsed only that
item and no other PSQ items.
RESULTS Frequency of psychotic symptoms After excluding
people with probable psychosis (n=60), data were available for 8520 individuals.
Of this remaining sample, 5.5% reported one or more psychotic symptom as measured
by the PSQ. For each item, more people endorsed the initial probe question than
the secondary question(s) (Table 1). Thus, for paranoia, 9.1% endorsed the question
'Have there been times when you felt that people were deliberately acting to harm
you or your interests?' whereas only 1.5% endorsed 'Have there been times when
you felt that a group of people were plotting to cause you serious harm or injury?'
Similarly for hallucinations, 4.2% of the sample said that there had been times
when they heard or saw things that other people could not, but only 0.7% reported
hearing voices saying quite a few words or sentences when there was no-one around
that might account for it. Table
I Percentage of respondents who endorsed each question on the Psychosis Screening
Questionnaire (PSQ) | PSQ
Items | Prevalence
(%) of 'Yes' | Number
of | | Initial
probe | responses |
respondents |
| Secondary
Question | (weighted) |
(unweighted) |
| Hypomania | | |
| Over
the past year, have there been times when you felt very happy indeed without a
break for days on end? | 55.6 |
4633 |
| Was
there an obvious reason for this? | 32.4 |
2710 |
| Did
your relatives of friends think it was strange or complain about it? |
0.6 |
45 |
| Thought
insertion | |
| | Over
the past year, have you ever felt that your thoughts were directly interfered
with or controlled by some outside force or person? |
9.0 |
790 |
| Did
this come about in a way that many people would find hard to believe, for instance,
through telepathy? | 0.9 |
89 |
| Paranoia |
| |
| Over
the past year, have there been times when you felt that people were against you? |
21.2 |
1769 |
| Have
there been times when you felt that people were deliberately acting to harm you
or your interests? | 9.1 |
782 |
| Have
there been times when you felt that a group of people were plotting to cause you
serious harm or injury? | 1.5 |
136 |
| Strange
experiences | |
| | Over
the past year, have there been times when you felt that something strange was
going on? | 8.9 |
731 |
| Did
you feel it was so strange that other people would find it very hard to believe? |
3.0 |
264 |
| Hallucinations |
| |
| Over
the past year, have there been times when you heard or saw things that other people
couldn't? | 4.2 |
344 |
| Did
you at any time hear voices saying quite a few words or sentences when there was
no-one around that might account for it? | 0.7 |
57 |
| Any
psychotic symptom (1) | |
| | Yes
to one or more probe questions | 66.1 |
5535 |
| Yes
to the secondary question(s) | 5.5 |
478 |
| Any
psychotic symptom excluding mania | |
| | Yes
to one or more probe questions | 28.6 |
2383 |
| Yes
to the secondary question(s) | 5.0 |
438 |
(1).
Respondents who endorsed one or more PSQ item. Socio-demographic
distribution of self-reported psychotic symptoms The frequencies of the
variables that were investigated for associations with psychotic symptoms are
shown in Table 2. Table
2 Frequencies of the variables examined for associations with psychotic symptoms
| Variable |
Categories |
Frequency
(%) | No.
of respondents | | |
| (weighted)
(1) | (unweighted) |
| Age
(years) | 55-74 |
25.7 |
2696 |
| | 35-54 |
38.9 |
3360 |
| | 16-34 |
35.4 |
2464 |
| Ethnic
group | White |
92.7 |
7978 |
| | Black |
2.2 |
181 |
| | South
Asian | 2.5 |
142 |
| | Other
groups | 2.0 |
156 |
| Type
of area | Rural |
34.1 |
2974 |
| | Urban |
65.9 |
5546 |
| Educational
qualifications | A
level or above | 36.3 |
2971 |
| | GCSE
level | 35.9 |
2946 |
| | None |
27.1 |
2541 |
| Estimated
verbal IQ | Above
average | 28.8 |
2610 |
| | Average |
44.9 |
3788 |
| | Below
average | 19.9 |
1605 |
| Alcohol
dependence | No
dependence | 92.7 |
7923 |
| | Mild/moderate/severe
dependence | 7.3 |
557 |
| Used
any drug in past month | No |
93.3 |
8034 |
| | Yes |
6.4 |
449 |
| Drug
dependence | No
dependence | 95.9 |
8229 |
| | Dependent
on cannabis only | 2.5 |
171 |
| | Dependent
on other drug (+/- cannabis) | 1.2 |
83 |
| Life
event in past 6 months | No |
75.0 |
6384 |
| | Yes |
25.0 |
2136 |
| Victimisation
experience | No |
71.2 |
6026 |
| | Yes |
28.2 |
2437 |
| Neurosis
(CIS-R score > 12) | <=
12 | 85.1 |
7161 |
| | >
12 | 14.9 |
1359 |
CIS-R,
Clinical Interview Schedule - Revised. (1). Not all the totals are 100% (n=8520)
because of occasional missing data. Any
psychotic symptom In the initial unadjusted analysis, the following variables
were associated with the presence of any self-reported psychotic symptom: drug
dependence, the presence of neurotic disorder, drug use, victimisation events,
alcohol dependence, recent stressful life events, non-White ethnic group, younger
age, lower IQ, fewer educational qualifications and urban residence (Table 3).
Gender was not a significant predictor. In the final model of adjusted odds ratios,
neurotic disorder and drug dependence were the variables most strongly associated
with psychotic symptoms. Individuals were 3.5 times as likely (95% CI 2.9-4.5)
to experience one or more psychotic symptoms if they scored above 12 on the CIS-R,
were almost three times as likely (95% CI 2.0-4.4) if they were dependent on cannabis
and were just under 2.5 times as likely (95% CI 1.3-3.9) if they were dependent
on any other drug (with or without cannabis). Experience of victimisation and
alcohol dependence were also strongly associated with psychotic symptoms (OR=2.0,
95% CI 1.7-2.6; OR=1.8, 95% CI 1.3-2.4, respectively). After controlling for interrelationships
between all the variables, young age, non-White ethnic group, urban residence
and recent drug use were no longer associated significantly with psychotic symptoms.
Table
3 Associations between risk factors and psychotic symptoms on the Psychosis Screening
Questionnaire (PSQ) | Exposure
variable | Parameter
coding | Model
1: unadjusted odds ratios | Final
model: adjusted odds ratios | | | |
Odds
ratio | 95%
CI | P |
Odds
ratio | 95%
CI | P |
| Age
(years) | 55-74
(0) | |
| |
| |
| | | 35-54
(1) | 1.95 |
1.47-2.57 |
<0.001 |
1.52 |
1.11-2.09 |
0.008 |
| | 16-34
(2) | 2.18 |
1.65-2.88 |
<0.001 |
1.30 |
0.92-1.82 |
0.14 |
| Ethnic
group | White
(0) | |
| |
| |
| | | Black
(1) | 2.27 |
1.43-3.61 |
0.001 |
| |
| | | South
Asian (2) | 1.91 |
1.19-3.06 |
0.007 |
| |
| | | Other
groups (3) | 1.01 |
0.51-1.99 |
NS |
| |
| | Type
of area | Rural
(0) | |
| |
| |
| | | Urban
(1) | 1.27 |
1.04-1.56 |
0.02 |
| |
| | Educational
qualifications | A
level or above (0) | |
| |
| |
| | | GCSE
level (1) | 1.43 |
1.15-1.79 |
0.001 |
1.38 |
1.07-1.77 |
0.013 |
| | None
(2) | 1.21 |
0.94-1.55 |
NS |
1.31 |
0.97-1.78 |
0.078 |
| Estimated
verbal IQ | Above
average (0) | |
| |
| |
| | | Average
(1) | 1.61 |
1.25-2.07 |
<0.001 |
1.36 |
1.04-1.79 |
0.027 |
| | Below
average (2) | 2.10 |
1.59-2.78 |
<0.001 |
1.50 |
1.08-2.07 |
0.015 |
| Alcohol
dependence | No
dependence (0) | |
| |
| |
| | | Mild/moderate/severe
dependence (1) | 2.97 |
2.31-3.83 |
<0.001 |
1.77 |
1.32-2.38 |
<0.001 |
| Used
any drug in past month | No
(0) | |
| |
| |
| | | Yes
(1) | 3.44 |
2.66-4.45 |
<0.001 |
| |
| | Drug
dependence | No
dependence (0) | |
| |
| |
| | | Dependent
on cannabis only (1) | 4.90 |
3.46-6.95 |
<0.001 |
2.94 |
1.98-4.37 |
<0.001 |
| | Dependent
on other drug (+/- cannabis) (2) | 6.94 |
4.43-10.89 |
<0.001 |
2.29 |
1.33-3.95 |
0.003 |
| Life
event in past 6 months | No
(0) | |
| |
| |
| | | Yes
(1) | 2.20 |
1.82-2.66 |
<0.001 |
1.55 |
1.26-1.92 |
<0.001 |
| Victimisation
experience | No
(0) | |
| |
| |
| | | Yes
(1) | 3.32 |
2.75-4.01 |
<0.001 |
2.06 |
1.66-2.55 |
<0.001 |
| Neurosis
(CIS-R score >12) | <=
12 (0) | |
| |
| |
| | | >
12 (1) | 5.06 |
4.17-6.14 |
<0.001 |
3.63 |
2.93-4.52 |
<0.001 |
CIS-R,
Clinical Interview Schedule - Revised. Paranoid
thoughts The following factors were independently associated with paranoid
thoughts in a multivariate regression analysis: neurotic disorder, victimisation
experiences, younger age group, alcohol dependence, recent stressful life event(s),
average IQ and male gender (see Table 4). Table
4 Associations between risk factors and paranoid thoughts
| Exposure
variable | Parameter
coding | Model
1: unadjusted odds ratios | Final
model: adjusted odds ratios | | | |
Odds
ratio | 95%
CI | P |
Odds
ratio | 95%
CI | P |
| Age
(years) | 55-74
(0) | |
| |
| |
| | | 35-54
(1) | 2.63 |
2.00-3.47 |
<0.001 |
2.04 |
1.51-2.76 |
<0.001 |
| | 16-34
(2) | 3.16 |
2.40-4.16 |
<0.001 |
2.18 |
1.60-2.97 |
<0.001 |
| Gender | Female
(0) | |
| |
| |
| | | Male
(1) | 1.19 |
1.00-1.41 |
0.049 |
1.25 |
1.03-1.51 |
0.027 |
| Ethnic
group | White
(0) | |
| |
| |
| | | Black
(1) | 1.34 |
0.78-2.28 |
NS |
| |
| | | South
Asian (2) | 0.97 |
0.55-1.72 |
NS |
| |
| | | Other
groups (3) | 1.87 |
1.16-3.02 |
0.01 |
| |
| | Type
of area | Rural
(0) | |
| |
| |
| | | Urban
(1) | 1.22 |
1.02-1.47 |
0.032 |
| |
| | Estimated
verbal IQ | Above
average (0) | |
| |
| |
| | | Average
(1) | 1.53 |
1.24-1.89 |
<0.001 |
1.42 |
1.13-1.78 |
0.002 |
| | Below
average (2) | 1.23 |
0.94-1.60 |
NS |
1.02 |
0.77-1.36 |
NS |
| Alcohol
dependence | No
dependence (0) | |
| |
| |
| | | Mild/moderate/severe
dependence (1) | 2.88 |
2.25-3.68 |
<0.001 |
1.92 |
1.45-2.56 |
<0.001 |
| Drug
dependence | No
dependence (0) | |
| |
| |
| | | Dependent
on cannabis only (1) | 3.13 |
2.11-4.64 |
<0.001 |
| |
| | | Dependent
on other drug (+/- cannabis) (2) | 4.35 |
2.54-7.46 |
<0.001 |
| |
| | Life
event in past 6 months | No
(0) | |
| |
| |
| | | Yes
(1) | 2.15 |
1.81-2.57 |
<0.001 |
1.63 |
1.34-1.99 |
<0.001 |
| Victimisation
experience | No
(0) | |
| |
| |
| | | Yes
(1) | 3.85 |
3.23-4.57 |
<0.001 |
2.56 |
2.11-3.10 |
<0.001 |
| Neurosis
(CIS-R score >12) | <=
12 (0) | |
| |
| |
| | | >
12 (1) | 4.86 |
4.04-5.84 |
<0.001 |
3.72 |
3.02-4.58 |
<0.001 |
CIS-R,
Clinical Interview Schedule - Revised. Hallucinatory
experiences The following factors were independently associated with
self-reported hallucinatory experiences in the multivariate analysis: neurotic
disorder, victimisation experiences, average or below-average IQ, alcohol dependence
and female gender (see Table 5). Table
5 Associations between risk factors and hallucinatory experiences
| Exposure
variable | Parameter
coding | Model
1: unadjusted odds ratios | Final
model: adjusted odds ratios | | | |
Odds
ratio | 95%
CI | P |
Odds
ratio | 95%
CI | P |
| Age
(years) | 55-74
(0) | |
| |
| |
| | | 35-54
(1) | 1.09 |
0.76-1.57 |
NS |
| |
| | | 16-34
(2) | 1.36 |
0.95-1.93 |
0.09 |
| |
| | Gender | Male
(1) | |
| |
| |
| | | Female
(0) | 1.31 |
1.00-1.72 |
0.055 |
1.49 |
1.09-2.02 |
0.012 |
| Ethnic
group | White
(0) | |
| |
| |
| | | Black
(1) | 2.27 |
1.15-4.49 |
0.018 |
2.48 |
0.99-6.21 |
0.052 |
| | South
Asian (2) | 2.36 |
1.27-4.39 |
0.007 |
0.22 |
0.02-2.11 |
NS |
| | Other
groups (3) | 0.65 |
0.18-2.30 |
NS |
| |
| | Estimated
verbal IQ | Above
average (0) | |
| |
| |
| | | Average
(1) | 2.19 |
1.48-3.23 |
<0.001 |
2.11 |
1.42-3.14 |
<0.001 |
| | Below
average (2) | 2.34 |
1.51-3.65 |
<0.001 |
2.22 |
1.42-3.47 |
<0.001 |
| Alcohol
dependence | No
dependence (0) | |
| |
| |
| | | Mild/moderate/severe
dependence (1) | 1.73 |
1.09-2.73 |
0.019 |
1.85 |
1.14-3.00 |
0.012 |
| Victimisation
experience | No
(0) | |
| |
| |
| | | Yes
(1) | 2.34 |
1.77-3.08 |
<0.001 |
2.12 |
1.57-2.87 |
<0.001 |
| Neurosis
(CIS-R score >12) | <=
12 (0) | |
| |
| |
| | | >
12 (1) | 2.91 |
2.13-3.98 |
<0.001 |
2.43 |
1.73-3.41 |
<0.001 |
CIS-R,
Clinical Interview Schedule - Revised.
DISCUSSION This study examined the distribution and correlates
of self-reported psychotic symptoms in the British population. Data were available
for a large representative sample of the general population, and included a wealth
of information on symptoms, socio-demographic factors, substance use and life
events. As with any cross-sectional survey, this study lacks information on temporal
relationships, and therefore it is possible to report only associations between
variables. Prevalence
of psychotic symptoms in the sample The annual prevalence of psychotic
symptoms, in the absence of psychotic disorder, was 5.5%. This refers to the percentage
of people who endorsed one or more items on the PSQ, including the secondary questions
for the item (i.e. the more 'psychotic' experiences). As shown in Table 1, the
prevalence was higher for the 'less psychotic' responses, consistent with the
existence of a continuum of psychotic phenomena in the general population. The
reported figure is lower than the rates of psychotic symptoms reported by other
epidemiological studies (17.5%, Poulton et al, 2000; 25%, van Os et al, 2000).
It is likely that variation in prevalence rates across studies is partly a consequence
of the different instruments used (number and type of questions asked). The PSQ
is a brief measure that assessed only five psychotic symptoms. One would expect
higher prevalence rates with a more comprehensive measure such as the CIDI, which
contains 17 psychotic symptom items. Also, as we found within the PSQ, questions
probing for 'less psychotic' experiences are likely to be endorsed more frequently.
In addition to differences in the measures, most epidemiological studies have
assessed the lifetime prevalence of psychotic symptoms. This will be much greater
than the annual prevalence, as measured by the PSQ. Factors
associated with any psychotic symptom There were associations between
psychotic symptoms and neurotic disorder, drug dependence, alcohol dependence,
victimisation experiences, recent stressful life events, lower IQ and fewer educational
qualifications. Younger age group, non-White ethnic group and urban residence
no longer significantly predicted psychotic symptoms after controlling for interrelationships
between predictor variables. In terms of drug dependence, the relationship between
cannabis dependence and psychotic symptoms was the strongest and also may have
contributed to the association between other drug dependence and psychotic symptoms.
The
results from this sample replicate previous findings concerning risk factors associated
with psychotic symptoms. Van Os et al (2000) reported an association between neurotic
symptoms and all types of psychosis ratings, from 'not clinically relevant' symptoms
to clinical psychosis. From our results, it is not possible to know whether neurotic
disorder is associated with increased risk of developing psychotic symptoms, or
whether it is a consequence of experiencing psychotic symptoms. In a study of
adult primary care patients, Olfson et al (2002) found that psychotic symptoms
were associated with anxiety, depression and alcohol use disorder, and suggested
that the latter were all clinical consequences. On the other hand, neurotic symptoms
have been reported in excess in those children who later develop psychosis (Jones
et al, 1994; Cannon et al, 2002), and have been identified as part of the initial
prodrome in psychosis (Yung & McGorry, 1996). Longitudinal studies have found
that adolescent males with neurotic disorders are more likely to develop schizophrenia
years later (Weiser et al, 2001), and that neuroticism (which is related to anxiety
proneness) increases the risk for subsequent onset of psychotic symptoms (Krabbendam
et al, 2002). In a recent review, Freeman & Garety (2003) argue that the frequent
occurrence of emotional disorder prior to and accompanying psychosis suggests
that neurosis contributes to the development of the positive symptoms of psychosis.
Similarly,
we cannot determine the direction of the relationship between cannabis dependence
and psychotic symptoms from these data. However, a number of cohort studies have
shown that consumption of cannabis is a risk factor for later psychosis (e.g.
Andreasson et al, 1987; van Os et al, 2002; Zammit et al, 2002). Thus, Arsenault
et al (2002) found that cannabis use in adolescence increased the risk of experiencing
schizophrenia symptoms in adulthood, indicating a causal link. Furthermore, this
risk was specific to cannabis use, as opposed to the use of other drugs. The association
between alcohol dependence and psychotic symptoms may be related to the occurrence
of withdrawal symptoms. Consistent
with previous studies (e.g. van Os et al, 2000), lower educational achievement
was associated with self-reported psychotic symptoms. The association with potentially
threatening life events and victimisation events also corresponds with previously
reported risk factors for psychosis. Using the same National Survey data, Bebbington
et al (2004) found a high prevalence of reported victimisation among people with
psychosis, greater than that found among people with neurotic disorder or drug
and alcohol dependence. The association between non-White ethnic group and psychotic
symptoms in this study was no longer significant after controlling for other factors,
including victimisation and stressful life events. Although it has been reported
that Black and ethnic minority patients with psychosis do not experience more
life events than do White British patients, they do perceive these events as more
threatening (Gilvarry et al, 1999). Factors
associated with paranoid thoughts Paranoid thoughts were associated with
neurotic symptoms, victimisation experience(s), younger age, alcohol dependence,
stressful life events in the past 6 months, average IQ and male gender. The relationships
between paranoia and victimisation and stressful life events are consistent with
cognitive psychological theories about the development and maintenance of psychotic
symptoms (Garety et al, 2001; Freeman et al, 2002). Thus, experiences of victimisation
may lead individuals to believe that they are vulnerable and to view other people
and the world as hostile and threatening; and stressful events may then trigger
symptoms. Janssen et al (2003) found that perceived discrimination was associated
longitudinally with onset of delusional ideation. Unfortunately, it is not possible
from these data to determine the precise temporal relationships between victimisation,
life events and paranoia. It could be that subjects with paranoid thoughts have
a biased recall for these experiences, or that the supposedly paranoid thoughts
are actually real, and that people are trying to harm them. Neurotic symptoms
were strongly associated with paranoid thoughts in this sample. Again, this result
is consistent with cognitive models of persecutory delusions (Freeman et al, 2002),
in which anxiety and depression (particularly anxiety) are thought to play a central
role in the formation of paranoid beliefs. Factors
associated with hallucinatory experiences Neurotic disorder, victimisation
experiences, average and below-average IQ, alcohol dependence and female gender
were associated with hallucinatory experiences. There was a trend for an association
between hallucinations and Black ethnic group, which replicates the findings of
Johns et al (2002) from an earlier UK national survey. In that study, the prevalence
of hallucinations assessed by the PSQ in a sample of people of Caribbean origin
living in Britain was 2.5 times higher than that in a White sample, although no
statistical comparison was reported. The finding that women were more likely to
report hallucinatory experiences is consistent with the higher rates of hallucinations
in females found in previous studies (Tien, 1991). As with paranoia, the association
with victimisation is consistent with psychological theories of hallucinations,
particularly the link between exposure to trauma and the development of hallucinations
(Romme & Escher, 1989). Further
research This study found that self-reported psychotic experiences in
the general population were associated with risk factors similar to those commonly
reported for clinical psychosis. Using the interview data from both phases of
the survey, we now intend to compare the correlates of self-reported psychotic
symptoms and clinical psychotic disorder in this sample.
APPENDIX The Psychosis Screening Questionnaire (PSQ; Bebbington
and Nayani, 1995; reproduced by permission of the authors) Hypomania
- Probe:
Over the past year, have there been times when you felt very happy indeed without
a break for days on end?
If
yes, - Was
there an obvious reason for this?
- Did
your relatives or friends think it was strange or complain about it?
Thought
insertion - Probe:
Over the past year, have you ever felt that your thoughts were directly interfered
with or controlled by some outside force or person?
If
yes, - Did
this come about in a way that many people would find hard to believe, for instance,
through telepathy?
Paranoia
- Probe:
Over the past year, have there been times when you felt that people were against
you?
If
yes, - Have
there been times when you felt that people were deliberately acting to harm you
or your interests?
- Have
there been times when you felt that a group of people were plotting to cause you
serious harm or injury?
Strange
experiences - Probe:
Over the past year, have there been times when you felt that something strange
was going on?
If
yes, - Did
you feel it was so strange that other people would find it very hard to believe?
Hallucinations
- Probe:
Over the past year, have there been times when you heard or saw things that other
people couldn't?
If
yes, - Did
you at any time hear voices saying quite a few words or sentences when there was
no-one around that might account for it?
Clinical Implications and Limitations CLINICAL IMPLICATIONS
- The psychological
factors associated with psychotic symptoms in the general population are consistent
with cognitive psychological models of psychotic symptoms in patient samples.
- Neurotic
symptoms may contribute to the development of psychotic symptoms, and offer a
target for intervention in people with prodromal or early warning signs of psychosis.
- Cannabis
dependence may increase the risk of experiencing psychotic symptoms.
LIMITATIONS
- The
PSQ items are intended to screen for psychotic symptoms, and do not provide data
on the precise nature of the experiences.
- Because
the study is cross-sectional, causal inferences cannot be drawn clearly for the
associations. Longitudinal studies are needed.
- The
number of interviewees with psychotic experiences was modest, particularly in
the analyses of factors associated with hallucinations.
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