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Association between alcohol and substance use disorders and all-cause and cause-specific mortality in schizophrenia, bipolar disorder, and unipolar depression: A nationwide, prospective, register-based study

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People with severe mental illness have both increased mortality and are more likely to have a substance use disorder. We assessed the association between mortality and lifetime substance use disorder in patients with schizophrenia, bipolar disorder, or unipolar depression. In this prospective, register-based cohort study, we obtained data for all people with schizophrenia, bipolar disorder, or unipolar depression born in Denmark in 1955 or later from linked nationwide registers. We obtained information about treatment for substance use disorders (categorised into treatment for alcohol, cannabis, or hard drug misuse), date of death, primary cause of death, and education level. We calculated hazard ratios (HRs) for all-cause mortality and subhazard ratios (SHRs) for cause-specific mortality associated with substance use disorder of alcohol, cannabis, or hard drugs. We calculated standardised mortality ratios (SMRs) to compare the mortality in the study populations to that of the background population. Our population included 41 470 people with schizophrenia, 11 739 people with bipolar disorder, and 88 270 people with depression. In schizophrenia, the SMR in those with lifetime substance use disorder was 8·46 (95% CI 8·14-8·79), compared with 3·63 (3·42-3·83) in those without. The respective SMRs in bipolar disorder were 6·47 (5·87-7·06) and 2·93 (2·56-3·29), and in depression were 6·08 (5·82-6·34) and 1·93 (1·82-2·05). In schizophrenia, all substance use disorders were significantly associated with increased risk of all-cause mortality, both individually (alcohol, HR 1·52 [95% CI 1·40-1·65], p<0·0001; cannabis, 1·24 [1·04-1·48], p=0·0174; hard drugs, 1·78 [1·56-2·04], p<0·0001) and when combined. In bipolar disorder or depression, only substance use disorders of alcohol (bipolar disorder, HR 1·52 [95% CI 1·27-1·81], p<0·0001; depression, 2·01 [1·86-2·18], p<0·0001) or hard drugs (bipolar disorder, 1·89 [1·34-2·66], p=0·0003; depression, 2·27 [1·98-2·60], p<0·0001) increased risk of all-cause mortality individually. Mortality in people with mental illness is far higher in individuals with substance use disorders than in those without, particularly in people who misuse alcohol and hard drugs. Mortality-reducing interventions should focus on patients with a dual diagnosis and seek to prevent or treat substance use disorders. The Lundbeck Foundation. Copyright © 2015 Elsevier Ltd. All rights reserved.
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www.thelancet.com/psychiatry Published online August 13, 2015 http://dx.doi.org/10.1016/S2215-0366(15)00207-2
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Articles
Association between alcohol and substance use disorders
and all-cause and cause-specifi c mortality in schizophrenia,
bipolar disorder, and unipolar depression: a nationwide,
prospective, register-based study
Carsten Hjorthøj, Marie Louise Drivsholm Østergaard, Michael Eriksen Benros, Nanna Gilliam Toftdahl, Annette Erlangsen, Jon Trærup Andersen,
Merete Nordentoft
Summary
Background People with severe mental illness have both increased mortality and are more likely to have a substance
use disorder. We assessed the association between mortality and lifetime substance use disorder in patients with
schizophrenia, bipolar disorder, or unipolar depression.
Methods In this prospective, register-based cohort study, we obtained data for all people with schizophrenia, bipolar
disorder, or unipolar depression born in Denmark in 1955 or later from linked nationwide registers. We obtained
information about treatment for substance use disorders (categorised into treatment for alcohol, cannabis, or hard
drug misuse), date of death, primary cause of death, and education level. We calculated hazard ratios (HRs) for
all-cause mortality and subhazard ratios (SHRs) for cause-specifi c mortality associated with substance use disorder of
alcohol, cannabis, or hard drugs. We calculated standardised mortality ratios (SMRs) to compare the mortality in the
study populations to that of the background population.
Findings Our population included 41 470 people with schizophrenia, 11 739 people with bipolar disorder, and 88 270 people
with depression. In schizophrenia, the SMR in those with lifetime substance use disorder was 8·46 (95% CI 8·14–8·79),
compared with 3·63 (3·42–3·83) in those without. The respective SMRs in bipolar disorder were 6·47 (5·87–7·06) and
2·93 (2·56–3·29), and in depression were 6·08 (5·82–6·34) and 1·93 (1·82–2·05). In schizophrenia, all substance use
disorders were signifi cantly associated with increased risk of all-cause mortality, both individually (alcohol, HR 1·52
[95% CI 1·40–1·65], p<0·0001; cannabis, 1·24 [1·04–1·48], p=0·0174; hard drugs, 1·78 [1·56–2·04], p<0·0001) and when
combined. In bipolar disorder or depression, only substance use disorders of alcohol (bipolar disorder, HR 1·52 [95% CI
1·27–1·81], p<0·0001; depression, 2·01 [1·86–2·18], p<0·0001) or hard drugs (bipolar disorder, 1·89 [1·34–2·66],
p=0·0003; depression, 2·27 [1·98–2·60], p<0·0001) increased risk of all-cause mortality individually.
Interpretation Mortality in people with mental illness is far higher in individuals with substance use disorders than in
those without, particularly in people who misuse alcohol and hard drugs. Mortality-reducing interventions should
focus on patients with a dual diagnosis and seek to prevent or treat substance use disorders.
Funding The Lundbeck Foundation.
Introduction
Severe mental illness has been linked to excess mortality
from suicide, accidents, and somatic illnesses.1–3 Similarly,
misuse or dependence on alcohol or illicit substances is
associated with increased mortality.4–6 Substance use
disorders are prevalent in people with severe mental
illness, and might be present in as many as half of people
with schizophrenia.7–10 Little is known about the mortality
of people diagnosed with both mental illness and substance
use disorders. Results of a study of 762 patients with
psychotic disorders showed that cannabis was associated
with a reduction in mortality by more than half, but alcohol
had no eff ect on mortality.11 Furthermore, studies have
linked cannabis use to lung cancer independently of
tobacco smoking.12,13
A better understanding of the potential contribution of
substance use disorders to the raised mortality in people
with mental illness will provide clues to reduce this excess
mortality in these patients. A reduced lifespan by 15–20 years
in people with mental illness has been previously described,
but without adjustment for sub stance use.3 Ultimately, this
information can guide prevention, detection, and treatment
programmes for substance use disorders.
Our aim of this study was to assess mortality in a large
cohort of patients with severe mental illness in relation
to lifetime diagnosis of substance use disorder. We aimed
to establish specifi c substance-related risk factors in
people with schizophrenia, bipolar disorder, and unipolar
depression.
Methods
Study design and population
In this prospective, register-based study, we linked
nationwide Danish registers using the Danish Civil
Lancet Psychiatry 2015
Published Online
August 13, 2015
http://dx.doi.org/10.1016/
S2215-0366(15)00207-2
See Online/Comment
http://dx.doi.org/10.1016/
S2215-0366(15)00372-7
Mental Health Center,
Copenhagen University
Hospital, Copenhagen,
Denmark (C Hjorthøj PhD,
M L D Østergaard MSc,
M E Benros PhD,
N G Toftdahl BScMed,
A Erlangsen PhD,
Prof M Nordentoft DrMedSc);
The Lundbeck Foundation
Initiative for Integrative
Psychiatric Research, iPSYCH,
Aarhus and Copenhagen,
Denmark (C Hjorthøj,
M L D Østergaard, M E Benros,
N G Toftdahl,
Prof M Nordentoft);
Department of Mental Health,
Johns Hopkins School of Public
Health, Baltimore, MD, USA
(A Erlangsen); Laboratory of
Clinical Pharmacology Q7642,
Rigshospitalet, Copenhagen
University Hospital,
Copenhagen, Denmark
(J T Andersen PhD); and
Department of Clinical
Pharmacology, Bispebjerg
Hospital, Copenhagen,
Denmark (J T Andersen)
Correspondence to:
Dr Carsten Hjorthøj, Copenhagen
University Hospital, Mental
Health Center, Copenhagen,
Kildegårdsvej 28, opgang 15.4,
DK-2900 Hellerup, Denmark
carsten.hjorthoej@regionh.dk
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Registration System, which has provided all permanent
residents in Denmark since 1968 with a unique
identifi cation number that enables linkage of individuals
across registers.14 An overview of the registers used is
presented in table 1.
We used the Psychiatric Central Research Register15 to
defi ne three study populations: patients diagnosed within
the schizophrenia spectrum (henceforth referred to as
schizophrenia), bipolar disorder, or unipolar depression
(henceforth referred to as depression). This register
contains information about all psychiatric admissions
since 1969, and outpatient visits since 1995. The diagnostic
codes used to defi ne the disorder categories are shown in
the appendix. We used data for all individuals born in
Denmark on or after Jan 1, 1955, only. We chose this date
so that we could be certain that the fi rst registered contact
with psychiatric illness was the incident illness; patients
born in 1955 would be aged 14 years when the register
was established, and presentation of these disorders
before age 14 years would have been unlikely.
Register-based analyses in Denmark do not require
participant consent. The protocol was approved by the
Danish Data Protection Agency.
Procedures
We categorised information about treatment for
substance use disorders into treatment for alcohol,
cannabis, and hard-drug misuse (ie, opioids, cocaine,
stimulants, sedatives, hallucinogens, and volatile
solvents) using diagnostic codes and anatomical
therapeutic chemical (ATC) classifi cation system codes
(appendix). We combined data from the Psychiatric
Central Research Register, National Patient Register,16
National Prescription Registry,17 and Registry of Drug
Abusers Undergoing Treatment.18 We also obtained
information about use of prescription medicines used to
treat alcohol and hard-drug misuse—eg, disulfi ram for
alcohol use and methadone for opioid dependence.
We obtained information about substance use and other
treatment until April, 2013. We obtained information
about date of death from the Central Persons Registry
until July 17, 2013, and about the primary cause of death
established by a medical doctor from the Cause of Death
Registry until Dec 31, 2011.19 Cause-specifi c deaths were
censored on Dec 31, 2011, because the register containing
the information was not updated. We used information
from Statistics Denmark to obtain information about the
highest level of education (either less than high school,
high school, vocational training, or college).20
Statistical analysis
We used Cox regression (hazard ratios [HRs]) to analyse
all-cause mortality. For cause-specifi c mortality, we
estimated subhazard ratios (SHRs) according to the
method of Fine and Gray.21 The individuals were followed
Research in context
Evidence before this study
We searched MEDLINE for combinations of the search terms
“schizophrenia”, “bipolar”, “unipolar”, “depression”, “severe
mental illness”, and “death”, “mortality”, “suicide”, “accidents”,
and “alcohol”, “cannabis”, “illicit substances”, “cocaine”,
“heroin”, “opioids”, “amphetamine”. We applied no language or
publication date restrictions, and we did our last search in
May, 2014. We focused on epidemiological studies examining
the mortality (all-cause or cause-specifi c) related to substance
use in schizophrenia, bipolar disorder, or unipolar depression.
Evidence from the studies that we found showed that severe
mental illness is strongly associated with increased mortality,
and that people with severe mental illness are also much more
likely to misuse alcohol, cannabis, and other illicit substances.
None of the studies that we found had sought to investigate
how much of the increased mortality in severe mental illness
can be explained by substance use disorders.
Added value of this study
As expected, all substances increased mortality in all
three populations. The estimated proportion of mortality
attributable to substances, and the size of the individual
associations, have not been reported in previous studies.
Implications of the available evidence
Although our results cannot prove causality, the prevention and
treatment of misuse of alcohol, cannabis, and other illicit
substances could help to reduce the excess mortality
consistently reported in people with severe mental illness.
People with dual diagnosis remain an important group for
whom to focus mortality prevention.
See Online for appendix
Data Period covered
Danish Civil Registration System Unique personal identifi cation number; sex;
date of birth; date of death; date of emigration
Since 1968
Cause of Death Registry Dates and causes of death established by a
medical doctor
1970–2011 (inclusive)
Psychiatric Central Research
Register
Date of admission and discharge from
psychiatric hospitals (inpatient and outpatient)
along with diagnostic information; used both
to defi ne the study populations and determine
presence of substance use disorders
Since 1969
(outpatient data from
1995)
National Patient Register Date of admission and discharge from somatic
hospitals (inpatient and outpatient) along with
diagnostic information; used to determine
presence of substance use disorders
Since 1977
(outpatient data from
1995)
National Prescription Registry Redeemed prescriptions from pharmacies,
including dates and anatomical therapeutic
chemical (ATC) classifi cation system codes
Since 1995
Registry of Drug Abusers
Undergoing Treatment
Date of admission and primary substance used,
at specialised addiction facilities
Since 1996
Statistics Denmark Highest level of education Entire cohort
Table 1: Summary of registers used in the study
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up from fi rst diagnosis until death, emigration, or end of
registers, whichever came fi rst. For cause-specifi c
deaths, individuals were censored when they died from
other causes. We adjusted all analyses for sex, birth year
(continuous variable), calendar year (continuous,
time-varying covariate), education, and age at onset of
the mental illness in question (continuous variable). We
do not present estimates and p values for covariates. For
all-cause mortality, suicide, and accidents, we
constructed a variable with separate categories for
substance use disorder of cannabis, alcohol, or hard
drugs, and combinations thereof. For the remaining
analyses, we created two models. In the fi rst model,
mortality risks of substance use disorder of cannabis,
alcohol, and hard drugs were estimated without mutual
adjustment. In the second model, each type of substance
use disorder was adjusted for the two others. Plots of
Schoenfeld residuals were used to assess the assumption
of proportional hazards. We did not correct p values for
multiple comparisons to avoid type II errors. Therefore,
p values in the range of 0·001 to 0·05 should be
interpreted with caution.
The fi rst date of substance use as recorded in the registers
(ie, the date that treatment was started) is very unlikely to
be the actual starting point of substance use, because the
patient is almost certainly going to have developed the
substance use disorder some time before starting
treatment. For this reason, we regarded people as exposed
to substance use disorders for the entire follow-up, even if
the fi rst diagnosis only occurred at a later timepoint. In
secondary analyses, we instead defi ned substance use
disorders as time-varying covariates. The eff ect and biases
of each of these approaches is discussed later.
We present the comparison of the study population to
the background population as age-and-sex-specifi c
standardised mortality ratios (SMRs)—ie, the observed
number of deaths divided by the expected number of
deaths, using aggregate data on the background population
available through Statistics Denmark for the period
1990–2012. We did all analyses using Stata/MP 13·1.
Schizophrenia (n=41 470) Bipolar disorder (n=11 739) Depression (n=88 270)
Age at fi rst diagnosis, years
Mean (SD) 27·6 (9·2) 34·0 (10·3) 31·3 (10·6)
Median (IQR) 25·7 (20·6–33·4) 33·8 (25·6–42·0) 30·7 (22·5–39·5)
Male individuals 24 127 (58·2%) 5092 (43·4%) 33 127 (37·5%)
Cannabis use disorder 7222 (17·4%) 1205 (10·3%) 5339 (6·0%)
Age at fi rst diagnosis of mental disorder, years 26·7 (8·3) 29·3 (9·3) 27·7 (8·9)
Alcohol use disorder 13 141 (31·7%) 3926 (33·4%) 21 014 (23·8%)
Age at fi rst diagnosis of mental disorder, years 29·7 (9·1) 33·4 (9·6) 32·0 (10·1)
Hard-drugs use disorder 9186 (22·2%) 2010 (17·1%) 10 659 (12·1%)
Age at fi rst diagnosis of mental disorder, years 28·9 (9·2) 33·3 (10·1) 32·5 (10·4)
Any substance use disorder 18 561 (44·8%) 4940 (42·1%) 27 428 (31·1%)
Substance use disorder predates mental disorder
by more than 1 year
7514 (40·5%) 2760 (55·9%) 12 625 (46·0%)
Substance use disorder and mental disorder fi rst
diagnosed within 1 year of one another
5764 (31·1%) 1204 (24·4%) 8590 (31·3%)
Mental disorder predates substance use disorder
by more than 1 year
5283 (28·5%) 976 (19·8%) 6213 (22·7%)
Person-years followed up 494 710 102 274 680 923
Deaths during follow-up 4616 (11·1%) 856 (7·3%) 3944 (4·5%)
Age at death, years
Mean (SD) 39·4 (9·6) 42·3 (9·2) 42·6 (9·3)
Median (IQR) 40·0 (32·0–47·4) 44·0 (36·0–49·7) 44·2 (36·3–49·8)
Highest level of education
Less than high school 23 036 (55·5%) 4290 (36·5%) 35 969 (40·7%)
High school 3811 (9·2%) 1121 (9·5%) 6744 (7·6%)
Vocational training 8214 (19·8%) 3419 (29·1%) 26 479 (30·0%)
College or university 4780 (11·5%) 2693 (22·9%) 17 184 (19·5%)
Not registered 1629 (3·9%) 216 (1·8%) 1894 (2·1%)
Lifetime diagnosis of schizophrenia 41 470 (100%) 3758 (32·0%) 11 217 (12·7%)
Lifetime diagnosis of bipolar disorder 3758 (9·1%) 11 739 (100%) 5741 (6·5%)
Lifetime diagnosis of depression 11 217 (27·0%) 5741 (48·9%) 88 270 (100%)
Data are n (%) unless otherwise specifi ed. Data are lifetime prevalence (while under observation).
Table 2: Characteristics of study population
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Role of the funding source
The funder of the study had no role in study design, data
collection, data analysis, data interpretation, or writing of
the report. The corresponding author had full access to
all the data in the study and had fi nal responsibility for
the decision to submit for publication.
Results
Our population consisted of 41 470 people with
schizophrenia, 11 739 people with bipolar disorder, and
88 270 people with depression (table 2). 10 286 (24·8%)
people with schizophrenia, 3189 (27·2%) people with
bipolar disorder, and 19 540 (22·1%) people with
depression had one type of substance use disorder and
8275 (20·0%), 1751 (14·9%), and 7888 (8·9%), respectively,
had two or more types. Substance use disorders were
recorded in more than one register in 10 528 (56·7%) of
18 561 individuals with schizophrenia, 2948 (59·7%) of
4940 individuals with bipolar disorder, and 14 848 (54·1%)
of 27 428 individuals with depression. The proportion of
patients with a substance use disorder who were male
was higher than the proportion of patients without a
substance use disorder who were male: in schizophrenia,
12 723 (68·5%) of 18 561 of those with substance use
disorders were male vs 11 404 (49·8%) of 22 909 of
those without substance use disorder (p<0·0001). In
bipolar disorder, the corresponding proportions were
2637 (53·4%) of 4940 vs 2455 (36·1%) of 6799 (p<0·0001),
and in unipolar depression were 14 245 (51·9%) of
27 428 vs 18 882 (31·0%) of 60 842 (p<0·0001).
People with a lifetime substance use disorder of alcohol
or hard drugs had signifi cantly later onset of schizophrenia,
bipolar disorder, or depression (table 2) than did those
without substance use disorder, whose mean age at fi rst
diagnosis was 26·9 years (SD 9·4) for schizophrenia,
33·0 years (10·3) for bipolar disorder, and 30·4 years (10·6)
for depression (all p<0·0001, except p=0·0037 for hard
drugs in bipolar disorder). Individuals with cannabis use
disorder had an earlier onset of mental illness (all p<0·0001)
than did those without cannabis use disorder. In people
with schizophrenia and substance use disorder,
6997 (37·7%) had their fi rst substance disorder diagnosed
before incident schizophrenia, 1871 (10·1%) had the same
date registered for the two, and 9693 (52·2%) had their
rst substance use disorder diagnosed after incident
schizophrenia. In people with bipolar disorder and
substance use disorder, the corresponding fi gures were
1322 (26·8%), 323 (6·5%), and 3297 (66·7%), respectively,
whereas in depression, the corresponding fi gures were
9157 (33·4%), 2653 (9·7%), and 15 618 (56·9%).
For people with schizophrenia, the SMR of those with
a lifetime substance use disorder was 8·46 (95% CI
8·14–8·79), compared with 3·63 (3·42–3·83) in those
without (fi gure). For bipolar disorder, the corresponding
SMRs were 6·47 (5·87–7·06) and 2·93 (2·56–3·29),
respectively. For depression, the respective SMRs were
6·08 (5·82–6·34) and 1·93 (1·82–2·05; fi gure).
Substance use disorders of alcohol or hard drugs were
both linked to excess all-cause mortality in all three
psychiatric disorders (table 3). Only in schizophrenia was
cannabis use disorder by itself linked to excess mortality.
Alcohol misuse was associated with increased mortality
in all three disorders, with HRs ranging from 1·5 to 2,
whereas the increase was slightly higher for hard drugs
(HRs ranging from 1·8 to 2·3). Generally, combinations
of several types of substance use disorders increased
mortality additively. Three-way interaction terms were
never statistically signifi cant (data not shown). Two-way
interactions were signifi cant between alcohol and
cannabis (p=0·0038) and cannabis and hard drugs
(p=0·0223) in people with schizophrenia, and for alcohol
and hard drugs in people with depression (p<0·0001). All
signifi cant interactions suggested that the combined
eff ect was less than the sum of the individual substances.
Overall, suicide accounted for 1138 (25%) of 4616 deaths
in people with schizophrenia, 251 (29%) of 856 deaths in
people with bipolar disorder, and 998 (25%) of 3944 deaths
in people with depression. For schizophrenia, people
with exclusive alcohol use disorder (p=0·0141) or all three
types of substance use disorders (p=0·0021) were at a
lower risk of dying by suicide than were people with no
diagnosed substance use disorders (table 3). Schoenfeld
residuals suggested deviations from proportional hazards
for the analysis on alcohol use disorders, so this result
should be interpreted cautiously. For depression, people
with exclusive cannabis use disorder had a lower risk of
dying by suicide than did those with no substance use
disorders (p=0·0050), whereas combined substance use
disorder for both alcohol and hard drugs was linked to an
increased risk of death by suicide (p=0·0061; table 3). All
interactions were non-signifi cant (data not shown).
Deaths from accidents accounted for 881 (19%) deaths in
people with schizophrenia, 119 (14%) deaths in people with
bipolar disorder, and 562 (14%) deaths in people with
depression. Substance use disorder of alcohol or hard
drugs signifi cantly increased the risk of dying from
Men Women
0
1
2
4
6
8
10
Standardised mortality ratio
Schizophrenia
Bipolar disorder
Unipolar depression
Schizophrenia
Bipolar disorder
Unipolar depression
No substance use disorder
Substance use disorder
Figure: Standardised mortality ratio for the period 1990–2012 in people
with schizophrenia, bipolar disorder, or depression, with and without
substance use disorder
Error bars show 95% CI.
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accidents, both combined and independently (table 3).
Cannabis use disorder only signifi cantly increased the risk
of death from accidents in schizophrenia. In people with
depression, adding cannabis use disorder to other types of
substance use disorders further increased the risk of death
from accidents, but this tendency was not noted in people
with bipolar disorder. The only statistically signifi cant inter-
actions were cannabis and hard drugs in schizophrenia
(p=0·0072) and alcohol and hard drugs in depression
(p=0·0001). Both interactions suggested that the combined
eff ect was less than the sum of the individual substances.
In our analysis of the risk of dying from one of four
major natural causes of death, we noted that 215 (5%)
deaths in people with schizophrenia and 264 (7%) deaths
in people with depression were caused by malignant
tumours outside the respiratory organs. We did not
analyse data for people with bipolar disorder because of
an insuffi cient number of deaths. In schizophrenia, no
substance use disorders were linked to increased
mortality from malignant tumours. In depression,
hard-drug use disorder was signifi cantly associated with
increased risk of dying from malignant tumours (table 4).
Cardiovascular causes accounted for 220 (5%) deaths in
people with schizophrenia and 152 (4%) deaths in those with
depression. In schizophrenia, alcohol misuse increased the
risk of death from cardiovascular causes (table 4). Hard-drug
use disorder did the same, but not when adjusted for other
substance use disorders. Cannabis use disorder was not
associated with death from cardiovascular causes. In
depression, alcohol use disorder was associated with death
from cardiovascular causes and cannabis was not; hard-drug
use disorders were not associated with cardiovascular deaths
when adjusted for alcohol and cannabis use disorders.
201 (4%) deaths in people with schizophrenia and
164 (4%) deaths in people with depression were due to
respiratory causes (mainly pulmonary cancers, chronic
obstructive pulmonary disease, and pneumonia). All types
of substance use disorders increased the risk of dying from
respiratory causes in people with schizophrenia, although
the association with cannabis did not reach statistical
signifi cance in the fully adjusted model. In depression,
substance use disorders of cannabis, alcohol, and hard
drugs were almost equally signifi cantly associated with
respiratory-related death (table 4).
Schizophrenia (n=41 470) Bipolar disorder (n=11 739) Depression (n=88 269)
All-cause mortality 4616 (11·1%) 856 (7·3%) 3944 (4·5%)
No substance use disorder 1 1 1
Alcohol only 1·52 (1·40–1·65), p<0·0001 1·52 (1·27–1·81), p<0·0001 2·01 (1·86–2·18), p<0·0001
Cannabis only 1·24 (1·04–1·48), p=0·0174 1·09 (0·63–1·86), p=0·7659 0·86 (0·59–1·26), p=0·4414
Hard drugs only 1·78 (1·56–2·04), p<0·0001 1·89 (1·34–2·66), p=0·0003 2·27 (1·98–2·60), p<0·0001
Alcohol and cannabis 1·64 (1·39–1·94), p<0·0001 1·63 (1·09–2·43), p=0·0180 2·36 (1·87–2·98), p<0·0001
Alcohol and hard drugs 2·65 (2·43–2·90), p<0·0001 2·87 (2·35–3·51), p<0·0001 3·41 (3·11–3·75), p<0·0001
Hard drugs and cannabis 2·07 (1·76–2·43), p<0·0001 1·81 (1·06–3·11), p=0·0310 2·71 (2·04–3·60), p<0·0001
Alcohol, cannabis, and hard drugs 2·20 (1·99–2·43), p<0·0001 3·03 (2·34–3·91), p<0·0001 3·44 (2·99–3·96), p<0·0001
Suicide 1138 (2·7%) 251 (2·1%) 998 (1·1%)
No substance use disorder 1 1 1
Alcohol only 0·81 (0·69–0·96), p=0·0141 0·97 (0·70–1·34), p=0·8493 1·04 (0·88–1·22), p=0·6723
Cannabis only 1·28 (0·97–1·76), p=0·0785 0·81 (0·33–1·96), p=0·6330 0·14 (0·03–0·55), p=0·0050
Hard drugs only 1·00 (0·75–1·34), p=0·9798 0·88 (0·41–1·90), p=0·7525 0·97 (0·69–1·34), p=0·8335
Alcohol and cannabis 0·94 (0·67–1·36), p=0·7379 1·02 (0·47–2·21), p=0·9601 1·01 (0·59–1·72), p=0·9826
Alcohol and hard drugs 1·01 (0·81–1·25), p=0·9604 1·04 (0·65–1·68), p=0·8575 1·35 (1·09–1·67), p=0·0061
Hard drugs and cannabis 1·19 (0·85–1·66), p=0·3076 1·75 (0·74–4·15), p=0·2023 0·69 (0·31–1·56), p=0·3751
Alcohol, cannabis, and hard drugs 0·65 (0·49–0·86), p=0·0021 1·06 (0·57–1·99), p=0·8527 0·85 (0·56–1·27), p=0·4277
Deaths from accidents 881 (2·1%) 119 (1·0%) 562 (0·6%)
No substance use disorder 1 1 1
Alcohol only 1·62 (1·28–2·06), p<0·0001 2·06 (1·20–3·52), p=0·0084 2·92 (2·24–3·80), p<0·0001
Cannabis only 1·59 (1·02–2·47), p=0·0398 1·41 (0·33–6·00), p=0·6380 1·80 (0·79–4·10), p=0·1593
Hard drugs only 4·86 (3·71–6·38), p<0·0001 3·06 (1·28–7·32), p=0·0117 6·16 (4·43–8·57), p<0·0001
Alcohol and cannabis 2·40 (1·61–3·56), p<0·0001 1·31 (0·31–5·56), p=0·7099 6·01 (3·62–9·97), p<0·0001
Alcohol and hard drugs 6·74 (5·50–8·25), p<0·0001 5·22 (3·03–9·01), p<0·0001 9·22 (7·12–11·92), p<0·0001
Hard drugs and cannabis 5·78 (4·33–7·72), p<0·0001 2·07 (0·49–8·79), p=0·3257 10·63 (6·71–16·84), p<0·0001
Alcohol, cannabis, and hard drugs 5·46 (4·40–6·76), p<0·0001 9·41 (5·34–16·58), p<0·0001 11·85 (8·71–16·13), p<0·0001
Data are n (%); HR (95% CI), p value; or SHR (95% CI), p value. HRs are presented for all-cause mortality and SHRs for cause-specifi c mortality. All models were adjusted for age
at onset of mental illness, birth year, calendar year, education, and sex. Exposure categories are lifetime substance use disorders. HR=hazard ratio. SHR=subhazard ratio.
Table 3: Substance use disorders as predictors of all-cause mortality, suicide, and deaths from accidents in people with schizophrenia, bipolar disorder,
or depression
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226 (5%) deaths in people with schizophrenia and
250 (6%) deaths in people with depression were due to
causes in the digestive organs. Alcohol use disorder
signifi cantly increased the risk of death from causes related
to the digestive organs, both in schizophrenia and
depression. Cannabis use disorder was strongly associated
with a decreased risk of dying from diseases in the digestive
organs, albeit only signifi cantly in schizophrenia (table 4).
In sensitivity analyses treating substance use disorders as
time-varying covariates, we noted generally increased
associations between mortality and alcohol and hard-drug
use disorders, but not cannabis use disorder (appendix).
The fi ndings of this sensitivity analysis imply that use
disorders of alcohol and hard drugs were associated with
an increased risk of suicide (appendix). In further sensitivity
analyses, we used substance-related information from only
the hospital-based registers. This had little eff ect on results,
except that cannabis use disorder increased risk of death
from accidents in people with depression (SHR 2·51,
95% CI 1·28–4·92; p=0·0073). Adjusting for seasonal
variations did not change our results appreciably (data not
shown). The associations between alcohol and cannabis
use disorders with suicide in people with schizophrenia
were driven by suicide death through violent methods (data
not shown). Adjusting for multiple psychiatric hospital
admissions had only a negligible eff ect on results, except
that alcohol use disorder became associated with a
decreased risk of suicide in people with depression
(SHR 0·80, 95% CI 0·68–0·95; p=0·0090). Interaction
analyses for sex were either not signifi cant or highly similar
to analyses without interaction terms (data not shown). The
one exception to this was that alcohol use disorder in
women (but not in men) increased risk of suicide in
depression (SHR 1·35, 95% CI 1·04–1·74; p=0·0228).
Discussion
We found that all three types of substance use disorders
were linked to excess mortality in people with schizo-
phrenia, particularly alcohol and hard drugs. For bipolar
disorder and depression, alcohol and hard drugs were also
associated with increased mortality, whereas cannabis was
not. Although not implying causality, SMRs suggested
that a diagnosed substance-use disorder accounted for a
large proportion of the increased mortality in severe
mental illness.
Deaths from accidents were prevalent, and were mostly
accidental poisonings (including substance overdoses) or
poisonings with undetermined intent (data not shown).
The increased risk of death in people with substance use
disorders might be attributable to poisonings related to
the misused substances themselves, to increased risk-
taking behaviour, or to decreased help-seeking abilities.
Alcohol use disorder was linked to a reduced risk of
suicide in people with schizophrenia, and cannabis use
disorder was linked to a reduced risk of suicide in those
with depression. These results are surprising because
alcohol is used in many suicide attempts.22,23 One
explanation could be that psychiatric patients might use
Schizophrenia (n=41 470) Depression (n=88 269)
Model 1: Each type of abuse
entered individually,
unadjusted for one another
Model 2: All types of abuse
entered simultaneously, adjusted
for one another
Model 1: Each type of abuse
entered individually,
unadjusted for one another
Model 2: All types of abuse
entered simultaneously, adjusted
for one another
Malignant tumour-related mortality (except in respiratory organs)
Cannabis use disorder 0·74 (0·47–1·16), p=0·1879 0·70 (0·42–1·15), p=0·1543 0·87 (0·47–1·60), p=0·6490 0·67 (0·36–1·27), p=0·2241
Alcohol use disorder 1·09 (0·83–1·43), p=0·5585 1·12 (0·83–1·50), p=0·4623 0·92 (0·71–1·19), p=0·5279 0·78 (0·59–1·03), p=0·0859
Hard-drug use disorder 1·00 (0·72–1·40), p=0·9995 1·06 (0·72–1·55), p=0·7816 1·78 (1·33–2·37), p<0·0001 2·03 (1·48–2·78), p<0·0001
Cardiovascular-related mortality
Cannabis use disorder 1·06 (0·74–1·51), p=0·7617 0·83 (0·56–1·24), p=0·3712 1·05 (0·57–1·93), p=0·8731 0·74 (0·39–1·42), p=0·3701
Alcohol use disorder 1·94 (1·47–2·56), p<0·0001 1·90 (1·41–2·57), p<0·0001 2·15 (1·52–3·04), p<0·0001 2·01 (1·38–2·91), p=0·0002
Hard-drug use disorder 1·39 (1·04–1·85), p=0·0241 1·16 (0·83–1·62), p=0·3848 1·70 (1·18–2·46), p=0·0044 1·44 (0·95–2·18), p=0·0858
Respiratory organ-related mortality
Cannabis use disorder 2·06 (1·47–2·90), p<0·0001 1·42 (0·98–2·07), p=0·0658 3·21 (2·03–5·09), p<0·0001 2·06 (1·26–3·38), p=0·0041
Alcohol use disorder 2·08 (1·55–2·79), p<0·0001 1·67 (1·20–2·31), p=0·0021 2·17 (1·57–2·99), p<0·0001 1·71 (1·21–2·42), p=0·0023
Hard-drug use disorder 2·23 (1·67–2·98), p<0·0001 1·63 (1·16–2·29), p=0·0053 2·55 (1·83–3·56), p<0·0001 1·85 (1·27–2·69), p=0·0013
Digestive organ-related mortality
Cannabis use disorder 0·68 (0·44–1·03), p=0·0679 0·44 (0·28–0·68), p=0·0002 1·13 (0·67–1·90), p=0·6468 0·60 (0·35–1·03), p=0·0652
Alcohol use disorder 6·62 (4·65–9·42), p<0·0001 7·05 (4·90–10·14), p<0·0001 35·29 (19·29–64·56), p<0·0001 34·02 (18·56–62·33), p<0·0001
Hard-drug use disorder 1·59 (1·19–2·12), p=0·0018 1·11 (0·81–1·50), p=0·5197 2·39 (1·82–3·14), p<0·0001 1·31 (0·99–1·73), p=0·0579
Data are subhazard ratios (95% CIs) and p values versus people without that particular type of substance use disorder. Of people with schizophrenia, 215 (0·5%) died from malignant tumour, 220 (0·5%) died as a
result of cardiovascular problems, 201 (0·5%) died from respiratory organ disorders, and 226 (0·5%) died from digestive organ disorders. Of people with depression, 264 (0·3%) died from malignant tumour,
152 (0·2%) died as a result of cardiovascular problems, 164 (0·2%) died from respiratory organ disorders, and 250 (0·3%) died from digestive organ disorders. All models were adjusted for age at onset of
depression, birth year, calendar year, education, and sex. Exposure categories are lifetime substance use disorders. We did not analyse data for people with bipolar disorder due to insuffi cient number of deaths.
Table 4: Substance use disorders as predictors of natural causes of death in people with schizophrenia or depression
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7
substances to self-medicate. This substance use might
reduce symptoms suffi ciently to reduce suicidal ideation,
or these people might cope with suicidal ideation by
using substances. Another explanation could be that
people who use substances are less prone to suicide—eg,
through increased social activity.24 If substance-related
suicides are misclassifi ed in the registers as, for example,
accidental poisonings, this would also explain this
unexpected fi nding. Furthermore, at a p value of 0·01,
this fi nding would not stand correction for multiple
comparisons. Finally, Schoenfeld residuals indicated
deviations from the assumption of proportional hazards
for the alcohol–suicide link in schizophrenia.
Cannabis use disorder was associated with increased
risk of mortality in schizophrenia, but not in bipolar
disorder or depression. In psychosis, cannabis has been
linked to poorer adherence to medication and more severe
psychotic symptoms.25 The increased mortality of this
population could be mediated through such factors. People
with schizophrenia might also use cannabis in higher
quantities than those with bipolar disorder or depression.
People with schizophrenia might be more susceptible to
the eff ects of cannabis than those with bipolar disorder or
depression—eg, as a result of poorer social networks and
increased levels of tobacco use.26 Finally, with a p value of
0·02, this association could be spurious.
Alcohol use disorder, but not hard-drug or cannabis
use disorder, was linked to increased risks of dying from
cardiovascular causes. This replicates consistent previous
ndings for alcohol, but previous studies have also linked
both opioids and cocaine to cardiovascular mortality.27–29
Surprisingly, alcohol and cannabis use disorders were
not associated with an increased risk of dying from
malignant tumours, which is usually a consistent
nding.30 An increased risk of dying from malignant
tumours has also previously been reported for people
with depression and use of hard drugs.31 We did not fi nd
the same association in schizophrenia, perhaps because
this population was younger than the depression and
bipolar disorder populations. Another surprising fi nding
was that people with cannabis use disorder were at
decreased risk of dying from causes in the digestive
organs; future studies could explore this further.
Tobacco smoking has been identifi ed as a leading
underlying cause of death in people with severe mental
illness.32,33 The association between cannabis and mortality
from causes related to respiratory organs might be
attributable to unmeasured confounding from tobacco
use, although information about tobacco use was not
available. However, around half of people with
schizophrenia and a third of people with bipolar disorder
also use tobacco,34,35 leaving little room left for unmeasured
confounding. Finally, if tobacco use was an important
unmeasured confounder, signifi cant associations between
cannabis use and deaths from cardiovascular causes and
tumours would also be expected, but we did not fi nd any
such associations.
We followed up the entire population of individuals born
in Denmark with relevant diagnoses over an extended
period of time and did mutual adjustment for the diff erent
types of substance use. Furthermore, we maximised
information about substance use by combining infor-
mation from several registers. We chose to investigate
substance-related mortality exclusively in people with
severe mental illness, since substance use disorders might
be less under-diagnosed in this group than in the
general population. Furthermore, the association between
substance use and death from suicide or accidental deaths
might be specifi c to people with severe mental illness.
However, our study has several limitations. Substance
use disorders are under-diagnosed, even in people with
mental illness,36 which would result in an underestimation
of the associations. Furthermore, by limiting our analyses
to individuals with a diagnosed substance use disorder, we
have not assessed the mortality eff ects of drinking or
drug taking that do not meet the thresholds of substance
use disorder. Additionally, in the primary analyses, we
deliberately introduced an immortality bias; individuals in
the exposed categories (ie, those who were diagnosed with
substance use disorder) by defi nition would have survived
to the point of diagnosis, whereas individuals without
diagnosed substance use disorder could have died at any
point during follow up. Therefore, the mortality rate in
substance users will be under-estimated because they were
observed for a longer period than individuals without a
diagnosis of substance use disorder, and could not have
died during the period between diagnosis of mental
disorder and diagnosis of substance use disorder. The HRs
are consequently conservatively biased. Furthermore,
SMRs do not account appropriately for diff erences in
socio economic position. However, results from Cox
regression analyses that adjusted for socioeconomic
position revealed the same increased mortality (data not
shown). An individual could be part of more than one
study population, but adjustment for comorbid psychiatric
disorders did not aff ect results (data not shown). We
classifi ed people who had received prescription medicines
used to treat alcohol and hard-drug use disorders as having
an alcohol or hard-drug use disorder; however, some
people could have received these medications for severe
somatic illness. Nonetheless, sensitivity analyses without
prescription medicine data had little if any eff ect on the
results (data not shown). We did not correct for multiple
comparisons, because this would substantially increase
the rate of type II errors. Consequently, p values around
0·05 are interpreted cautiously. Interaction analyses for
sex were highly similar to analyses without interaction
terms, except that alcohol use disorder in women (but not
in men) increased risk of suicide in depression. Plots of
Schoenfeld residuals generally confi rmed the assumptions
of proportional hazards. The one exception was the
apparent reduced risk of suicide in people with alcohol use
disorders in the schizophrenia population, which is why
this particular result should be interpreted cautiously.
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Our fi ndings raise the hypothesis that successful
treatment of substance use disorders might reduce
mortality in people with severe mental illness. Un-
fortunately, reviews have shown that treating substance
use disorders in people with severe mental illness is often
not eff ective.37,38 Nonetheless, awareness of substance
misuse in people with mental illness could help clinical
eff orts to reduce excess mortality. Even in the absence of
causality, patients with dual diagnosis are still an important
target group for mortality-reducing interventions. Our
ndings also highlight the importance of preventing
substance use disorders. In conclusion, neither alcohol,
hard drugs, nor cannabis should be considered harmless.
Contributors
CH and JTA designed the study protocol. CH obtained funding, did the
scientifi c literature search, and obtained and analysed the data. CH,
MLDØ, and NGT developed the algorithm for substance use disorders.
MEB, MLDØ, AE, JTA, and MN critically revised the data analysis plan
initially proposed by CH. All authors interpreted the data. CH wrote the
rst draft of the manuscript, and all authors critically revised this and
approved the fi nal version of the manuscript.
Declaration of interests
We declare no competing interests.
Acknowledgments
We thank the Lundbeck Foundation who funded the study.
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... [6][7][8][9] People with severe mental illness (SMI) have an increased risk of cardiovascular disease and diabetes due to both a putative genetic vulnerability, 6,7 and a lifestyle with physical inactivity, unhealthy diet and higher prevalence of substance abuse and smoking. 8,10,11 SMI has also been linked to lower levels of physical health literacy, 8 and psychiatric symptoms, impaired cognition and problems with activities of daily living, have been associated with increased mortality. 12,13 Moreover, the follow-up care of physical illness offered to people with mental disorders is often inadequate. ...
... 46,47 A high number of previous studies have described how excessive use of alcohol and illicit substances are associated with increased risk of somatic diseases and death. 10,[48][49][50][51][52] In contrast to these studies, we did not find associations between excessive use of alcohol or illicit substances and increased risk of natural death. However, it is important to keep in mind that we adjust for both physical disease and use of alcohol and illicit substances in the multivariate analysis. ...
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Introduction Associations between psychiatric disorders and mortality have been extensively studied, but limited evidence exists regarding influence of clinical characteristics on mortality risk, at the time of acute psychiatric hospitalization. Methods A prospective total‐cohort study included all patients consecutively admitted to Haukeland University Hospital's psychiatric acute ward in Bergen, Norway between 2005 and 2014 ( n = 6125). Clinical interviews were conducted at the first admission within the study period, and patients were subsequently followed for up to 15 years in the Norwegian Cause of Death Registry. Competing risks regression models were used to investigate associations between clinical characteristics at first admission and the risk of natural and unnatural death during follow‐up. Results The mean age at first admission and at time of death was 42.5 and 62.8 years, respectively, and the proportion of women in the sample was 47.2%. A total of 1381 deaths were registered during follow‐up, of which 65.5% had natural, 30.4% unnatural, and 4.1% unknown causes. Higher age, male sex, unemployment, cognitive deficits, and physical illness were associated with increased risk of natural death. Male sex, having no partner, physical illness, suicide attempts, and excessive use of alcohol and illicit substances were associated with increased risk of unnatural death. Conclusion Psychiatric symptoms, except suicide attempts, were unrelated to increased mortality risk. In the endeavor to reduce the increased mortality risk in people with mental disorders, focus should be on addressing modifiable risk factors linked to physical health and excessive use of alcohol and illicit substances.
... People with mental health and substance use conditions (MHSUC) experience worse health outcomes for many health conditions, including cancer [1][2][3]. Although the incidence of many cancers is similar to that in the broader population, people with MHSUC have higher mortality from cancer [4][5][6], a pattern that is consistent across different cancer types and mental health diagnoses [4,[7][8][9], although disparities are most pronounced for people with diagnoses of schizophrenia and bipolar disorder [2,10]. ...
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Background Cancer survival and mortality outcomes for people with mental health and substance use conditions (MHSUC) are worse than for people without MHSUC, which may be partly explained by poorer access to timely and appropriate healthcare, from screening and diagnosis through to treatment and follow-up. Access and quality of healthcare can be evaluated by comparing the proportion of people who receive a cancer diagnosis following an acute or emergency hospital admission (emergency presentation) across different population groups: those diagnosed with cancer following an emergency presentation have lower survival. Methods National mental health service use datasets (2002–2018) were linked to national cancer registry and hospitalisation data (2006–2018), to create a study population of people aged 15 years and older with one of four cancer diagnoses: lung, prostate, breast and colorectal. The exposure group included people with a history of mental health/addiction service contact within the five years before cancer diagnosis, with a subgroup of people with a diagnosis of bipolar disorder, schizophrenia or psychotic disorders. Marginal standardised rates were used to compare emergency presentations (hospital admission within 30 days of cancer diagnosis) in the exposure and comparison groups, adjusted for age, gender (for lung and colorectal cancers), ethnicity, area deprivation and stage at diagnosis. Results For all four cancers, the rates of emergency presentation in the fully adjusted models were significantly higher in people with a history of mental health/addiction service use than people without (lung cancer, RR 1.19, 95% CI 1.13, 1.24; prostate cancer RR 1.69, 95% CI 1.44, 1.93; breast cancer RR 1.42, 95% CI 1.14, 1.69; colorectal cancer 1.31, 95% CI 1.22, 1.39). Rates were substantially higher in those with a diagnosis of schizophrenia, bipolar disorder or psychotic disorders. Conclusions Implementing pathways for earlier detection and diagnosis of cancers in people with MHSUC could reduce the rates of emergency presentation, with improved cancer survival outcomes. All health services, including cancer screening programmes, primary and secondary care, have a responsibility to ensure equitable access to healthcare for people with MHSUC.
... Use and misuse of cannabis have repeatedly been shown to be more prevalent in people with schizophrenia compared with the general population (Green, Young, & Kavanagh, 2012;Myles, Myles, & Large, 2016). Studies suggest that comorbid cannabis use disorder in patients with schizophrenia is associated with poorer prognosis on a range of outcomes, including symptom severity, rehospitalization, suicide, and all-cause mortality (Hjorthøj et al., 2015;Schoeler et al., 2016). Some of this association may be due to reverse causation, with patients more heavily affected by psychotic symptoms using cannabis as a form of self-medication (Ferdinand et al., 2005;Macleod et al., 2004;Petersen, Toftdahl, Nordentoft, & Hjorthøj, 2019). ...
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Background Evidence suggests that cannabis may be a causal factor for development of schizophrenia. We aimed to investigate whether use of antipsychotic medication, benzodiazepines, and psychiatric service use differs among patients with schizophrenia depending on whether psychosis was precipitated by a diagnosis of cannabis use disorder (CUD). Methods We utilized the nationwide Danish registries to identify all individuals with an incident diagnosis of schizophrenia from 1995 to 2016. We also collected information on whether first CUD diagnosis preceded schizophrenia and thus defined a group of potentially cannabis-related schizophrenia. We compared the cannabis-related schizophrenia group both with all non-cannabis-related patients with schizophrenia and with non-cannabis-related patients with schizophrenia that were propensity-score matched to cases using a range of potentially confounding variables. ResultsWe included 35 714 people with incident schizophrenia, including 4116 (11.5%) that were cannabis-related. In the unmatched-comparison analyses, there were no clear differences over time in use of antipsychotics and benzodiazepines related to whether the diagnosis of schizophrenia was cannabis-related. After propensity-score matching, use of antipsychotics and benzodiazepines was significantly lower among cannabis-related cases of schizophrenia. In the unmatched comparison, the cannabis-related group had significantly more days admitted than the non-cannabis-related group. This was markedly attenuated after propensity-score matching. Conclusions Our findings indicate the importance of considering cannabis-related cases of schizophrenia as a potentially distinct disorder in terms of prognosis. It is unclear, however, if these differences are due to different biological types of schizophrenia being compared or if they rather indicate behavioral differences such as reduced adherence and treatment-seeking.
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Background Self-harm entails high costs to individuals and society in terms of suicide risk, morbidity and healthcare expenditure. Repetition of self-harm confers yet higher risk of suicide and risk assessment of self-harm patients forms a key component of the health care management of self-harm patients. To date, there has been no systematic review published which synthesises the extensive evidence on risk factors for repetition.Objective This review is intended to identify risk factors for prospective repetition of self-harm after an index self-harm presentation, irrespective of suicidal intent.Data sourcesPubMed, PsychInfo and Scirus were used to search for relevant publications. We included cohort studies which examining factors associated with prospective repetition among those presenting with self-harm to emergency departments. Journal articles, abstracts, letters and theses in any language published up to June 2012 were considered. Studies were quality-assessed and synthesised in narrative form.ResultsA total of 129 studies, including 329,001 participants, met our inclusion criteria. Some factors were studied extensively and were found to have a consistent association with repetition. These included previous self-harm, personality disorder, hopelessness, history of psychiatric treatment, schizophrenia, alcohol abuse/dependence, drug abuse/dependence, and living alone. However, the sensitivity values of these measures varied greatly across studies. Psychological risk factors and protective factors have been relatively under-researched but show emerging associations with repetition. Composite risk scales tended to have high sensitivity but poor specificity.Conclusions Many risk factors for repetition of self-harm match risk factors for initiation of self-harm, but the most consistent evidence for increased risk of repetition comes from long-standing psychosocial vulnerabilities, rather than characteristics of an index episode. The current review will enhance prediction of self-harm and assist in the efficient allocation of intervention resources.
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[This corrects the article on p. e84282 in vol. 9.]. Correction: An affiliation for the last author is incorrectly omitted. In addition to institution number 1, Ella Arensman is also affiliated with the following institution: Department of Epidemiology & Public Health, University College Cork, Ireland.
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Over 50% of people with a severe mental illness also use illicit drugs and/or alcohol at hazardous levels. This review is based on the findings of 32 randomized controlled trials which assessed the effectiveness of psychosocial interventions, offered either as one-off treatments or as an integrated or nonintegrated program, to reduce substance use by people with a severe mental illness. The findings showed that there was no consistent evidence to support any one psychosocial treatment over another. Differences across trials with regard to outcome measures, sample characteristics, type of mental illness and substance used, settings, levels of adherence to treatment guidelines, and standard care all made pooling results difficult. More quality trials are required that adhere to proper randomization methods; use clinically valuable, reliable, and validated measurement scales; and clearly report data, including retention in treatment, relapse, and abstinence rates. Future trials of this quality will allow a more thorough assessment of the efficacy of psychosocial interventions for reducing substance use in this challenging population.
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Background: Excess mortality among patients with severe mental disorders has not previously been investigated in detail in large complete national populations. Objective: To investigate the excess mortality in different diagnostic categories due to suicide and other external causes of death, and due to specific causes in connection with diseases and medical conditions. Methods: In longitudinal national psychiatric case registers from Denmark, Finland, and Sweden, a cohort of 270,770 recent-onset patients, who at least once during the period 2000 to 2006 were admitted due to a psychiatric disorder, were followed until death or the end of 2006. They were followed for 912,279 person years, and 28,088 deaths were analyzed. Life expectancy and standardized cause-specific mortality rates were estimated in each diagnostic group in all three countries. Results: The life expectancy was generally approximately 15 years shorter for women and 20 years shorter for men, compared to the general population. Mortality due to diseases and medical conditions was increased two- to three-fold, while excess mortality from external causes ranged from three- to 77-fold. Mortality due to diseases and medical conditions was generally lowest in patients with affective disorders and highest in patients with substance abuse and personality disorders, while mortality due to suicide was highest in patients with affective disorders and personality disorders, and mortality due to other external causes was highest in patients with substance abuse. Conclusions: These alarming figures call for action in order to prevent the high mortality.
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With explanatory covariates, the standard analysis for competing risks data involves modeling the cause-specific hazard functions via a proportional hazards assumption. Unfortunately, the cause-specific hazard function does not have a direct interpretation in terms of survival probabilities for the particular failure type. In recent years many clinicians have begun using the cumulative incidence function, the marginal failure probabilities for a particular cause, which is intuitively appealing and more easily explained to the nonstatistician. The cumulative incidence is especially relevant in cost-effectiveness analyses in which the survival probabilities are needed to determine treatment utility. Previously, authors have considered methods for combining estimates of the cause-specific hazard functions under the proportional hazards formulation. However, these methods do not allow the analyst to directly assess the effect of a covariate on the marginal probability function. In this article we propose a novel semiparametric proportional hazards model for the subdistribution. Using the partial likelihood principle and weighting techniques, we derive estimation and inference procedures for the finite-dimensional regression parameter under a variety of censoring scenarios. We give a uniformly consistent estimator for the predicted cumulative incidence for an individual with certain covariates; confidence intervals and bands can be obtained analytically or with an easy-to-implement simulation technique. To contrast the two approaches, we analyze a dataset from a breast cancer clinical trial under both models.
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Context Studies of selected groups of persons with mental illness, such as those who are institutionalized or seen in mental health clinics, have reported rates of smoking to be higher than in persons without mental illness. However, recent population-based, nationally representative data are lacking.Objective To assess rates of smoking and tobacco cessation in adults, with and without mental illness.Design, Setting, and Participants Analysis of data on 4411 respondents aged 15 to 54 years from the National Comorbidity Survey, a nationally representative multistage probability survey conducted from 1991 to 1992.Main Outcome Measures Rates of smoking and tobacco cessation according to the number and type of psychiatric diagnoses, assessed by a modified version of the Composite International Diagnostic Interview.Results Current smoking rates for respondents with no mental illness, lifetime mental illness, and past-month mental illness were 22.5%, 34.8%, and 41.0%, respectively. Lifetime smoking rates were 39.1%, 55.3%, and 59.0%, respectively (P<.001 for all comparisons). Smokers with any history of mental illness had a self-reported quit rate of 37.1% (P = .04), and smokers with past-month mental illness had a self-reported quit rate of 30.5% (P<.001) compared with smokers without mental illness (42.5%). Odds ratios for current and lifetime smoking in respondents with mental illness in the past month vs respondents without mental illness, adjusted for age, sex, and region of the country, were 2.7 (95% confidence interval [CI], 2.3-3.1) and 2.7 (95% CI, 2.4-3.2), respectively. Persons with a mental disorder in the past month consumed approximately 44.3% of cigarettes smoked by this nationally representative sample.Conclusions Persons with mental illness are about twice as likely to smoke as other persons but have substantial quit rates.
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Psychosocial interventions for people with both severe mental illness and substance misuse ‘Dual diagnosis’ is the term used to describe people who have a mental health problem and also have problems with drugs or alcohol. In some areas, over 50% of all those with mental health difficulties will have problems with drugs or alcohol. For people with mental illness, substance misuse often has a negative and damaging effect on the symptoms of their illness and the way their medication works. They may become aggressive or engage in activities that are illegal. Substance misuse can also increase risk of suicide, hepatitis C, HIV, relapse, incarceration and homelessness. People who have substance misuse problems but no mental illness can be treated via a variety of psychosocial interventions. These include motivational interviewing, or MI, that looks at people’s motivation for change; cognitive behavioural therapy, or CBT, which helps people adapt their behaviour by improving coping strategies; a supportive approach similar to that pioneered by Alcoholics Anonymous; family psycho-education observing the signs and effects of substance misuse; and group or individual skills training. However, using these interventions for people with dual diagnosis is more complex. The aim of this review was to assess the effects of psychosocial interventions for substance reduction in people with a serious mental illness compared to care as usual or standard care. A search for studies was carried out in July 2012; 32 studies were included in the review with a total of 3165 people. These studies used a variety of different psychosocial interventions (including CBT, MI, skills training, integrated models of care). In the main, evidence was graded as low or very low quality and no study showed any great difference between psychosocial interventions and treatment as usual. There was no compelling evidence to support any one psychosocial treatment over another.However, differences in study designs made comparisons between studies problematic. Studies also had high numbers of people leaving early, differences in outcomes measured, and differing ways in which the psychosocial interventions were delivered. More large scale, high quality and better reported studies are required to address these shortcomings. This will better address whether psychosocial interventions are effective and good for people with mental illness and substance misuse problems.
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Cocaine is a powerful stimulant that gives users a temporary sense of euphoria, mental alertness, talkativeness, and a decreased need for food and sleep. Cocaine intoxication is the most frequent cause of drug-related death reported by medical examiners in the US, and these events are most often related to the cardiovascular manifestations of the drug. Once playing a vital role in medicine as a local anesthetic, decades of research have established that cocaine has the ability to cause irreversible structural damage to the heart, greatly accelerate cardiovascular disease, and initiate sudden cardiac death. Although pathologic findings are often reported in the literature, few images are available to support these findings, and reviews of cocaine cardiopathology are rare. We describe the major pathologic findings linked to cocaine abuse in earlier research, their underlying mechanisms, and the treatment approaches currently being used in this patient population. A MEDLINE search was conducted to identify all English language articles from January 2000 to June 2008 with the subject headings and key words ‘cocaine’, ‘heart’, ‘toxicity’, and ‘cardiotoxicity’. Epidemiologic, laboratory, and clinical studies on the pathology, pathophysiology, and pharmacology of the effects of cocaine on the heart were reviewed, along with relevant treatment options. Reference lists were used to identify earlier studies on these topics, and related articles from Google Scholar were also included. There is an established connection between cocaine use and myocardial infarction (MI), arrhythmia, heart failure, and sudden cardiac death. Numerous mechanisms have been postulated to explain how cocaine contributes to these conditions. Among these, cocaine may lead to MI by causing coronary artery vasoconstriction and accelerated atherosclerosis, and by initiating thrombus formation. Cocaine has also been shown to block K+ channels, increase L-type Ca2+ channel current, and inhibit Na+ influx during depolarization, all possible causes for arrhythmia. Additionally, cocaine use has been associated with left ventricular hypertrophy, myocarditis, and dilated cardiomyopathy, which can lead to heart failure if drug use is continued. Certain diagnostic tools, including ECG and serial cardiac markers, are not as accurate in identifying MI in cocaine users experiencing chest pain. As a result, clinicians should be suspicious of cocaine use in their differential diagnosis of chest pain, especially in the younger male population, and proceed more cautiously when use is suspected. Treatment for cocaine-related cardiovascular disease is in many ways similar to treatment for traditional cardiovascular disease. However use of β-receptor antagonists and class Ia and III anti-arrhythmics is strongly discouraged if the patient is likely to continue cocaine use, because of documented adverse effects. The medical community is in urgent need of a pharmacologic adjunct to cocaine-dependence treatment that can deter relapse and reduce the risks associated with cardiovascular disease in these patients.