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1 e risk for the development of stress-induced mental illness.
2 lopment has been hypothesized to account for mental illness.
3 targeted specifically at people with severe mental illness.
4 natural-cause mortality in those with severe mental illness.
5 mproved outcomes for patients suffering from mental illness.
6 ct dysfunctional thinking present in serious mental illness.
7 development, determining risk for subsequent mental illness.
8 s about mental illness or about persons with mental illness.
9 nd its disruption is a significant factor in mental illness.
10 YOD bed-days before age 40 years were due to mental illness.
11 of decision making in preclinical models of mental illness.
12 The main outcome was prevalence of maternal mental illness.
13 s relative to vignettes portraying untreated mental illness.
14 nt and increase the risk for and severity of mental illness.
15 e prevalence of children exposed to maternal mental illness.
16 ) individuals had an antecedent diagnosis of mental illness.
17 key feature of this often devastating severe mental illness.
18 h (Ontario, Canada, 2005-2015) and no recent mental illness.
19 ly vulnerable to dysregulation implicated in mental illness.
20 controls, particularly related to trauma and mental illness.
21 tilized to dissect the genetic influences on mental illness.
22 about mental illness and about persons with mental illness.
23 promising instrument for predicting risk for mental illness.
24 l effects of infection and associations with mental illness.
25 lth-care needs of people living with HIV and mental illness.
26 compared to white British groups with severe mental illness.
27 ding influences shared by smoking and severe mental illness.
28 then compared with those of patients without mental illness.
29 entification of individuals at high risk for mental illness.
30 impairments in this chronic and debilitating mental illness.
31 ism linking early life risk factors to adult mental illness.
32 597, which has been strongly linked to major mental illness.
33 the entire cortex, and they are abnormal in mental illness.
34 trong social support increases resilience to mental illness.
35 hed as a robust genetic risk factor in major mental illness.
36 utes to the emergence of individual risk for mental illness.
37 of general liability as individual risk for mental illness.
38 e, training, and research; and beliefs about mental illness.
39 health of people with or at risk of serious mental illness.
40 1.43%) individuals had a diagnosis of severe mental illness.
41 candidate protein in the pathology of major mental illness.
42 rocess underlying the development of chronic mental illness.
43 Nearly 3% of patients had preexisting severe mental illness.
44 for the overrepresented group of people with mental illness.
45 ive functions that are commonly disrupted in mental illness.
46 y factors that may precede maladjustment and mental illness.
47 cortex provides insight into the etiology of mental illness.
48 largest environmental risk factor for adult mental illness.
49 e management of contraception for women with mental illness.
50 n they are treated for an initial episode of mental illness.
51 10 [1.27-3.49]), compared with no history of mental illness.
52 rapeutic for treatment-resistant symptoms of mental illness.
53 replicated serological observations in major mental illness.
54 h (Ontario, Canada, 2005-2015) and no recent mental illness.
55 erstanding of both normal brain function and mental illness.
56 rtant role in pathologies such as stroke and mental illness.
57 1-6.4), 2927 (5.0%) of whom had a history of mental illness.
58 uals from multiple Finnish cohorts for major mental illnesses.
59 that have been associated by GWAS with major mental illnesses.
60 e roles of these changes in vulnerability to mental illnesses.
61 and anxiety were the most prevalent maternal mental illnesses.
62 specifically designed for people with severe mental illnesses.
63 chosocial adversity induces vulnerability to mental illnesses.
64 covery in brain disorders, including serious mental illnesses.
65 nce in outpatients with co-occurring serious mental illnesses.
66 ls, leading to manifestation as physical and mental illnesses.
67 ated in the pathophysiology of these complex mental illnesses.
68 ted with cognitive and emotional deficits in mental illnesses.
69 al signatures of core dysfunctions underling mental illnesses.
70 of this protein in a variety of devastating mental illnesses.
71 of new strategies to treat stress-associated mental illnesses.
72 logical mediators in both diabetes and major mental illnesses.
73 is also observed in some patients with major mental illnesses.
74 ntrol is negatively impacted in a variety of mental illnesses.
75 e a risk for the later development of severe mental illnesses.
76 ve in poverty disproportionately affected by mental illness?
77 reast cancer (k=35; 296 699 individuals with mental illness, 1 023 288 in the general population), ce
78 tion within the first year after surgery (no mental illness: 1.88 per 100,000 individuals; anxiety/de
79 kely than those without to develop perinatal mental illness (18.1% vs. 16.0%; adjusted relative risk
80 kely than those without to develop perinatal mental illness (18.1% vs. 16.0%; adjusted relative risk:
83 tion), colorectal cancer (k=12; 153 283 with mental illness, 2 228 966 in general population), lung a
85 lation), cervical cancer (k=29; 295 688 with mental illness, 3 540 408 in general population), colore
86 the first 3 mo after their initial claim for mental illness, 44.85% of children who receive drug trea
87 f developing depression, anxiety, or serious mental illness (a composite mental ill health outcome) o
89 tios were elevated in the cohort with severe mental illness across all neighbourhood-level characteri
91 e mental illness compared with those without mental illness after adjusting for age, income, race, et
92 milar in different ethnic groups with severe mental illness, although the south Asian group had a red
93 utilisation data (N = 727); (2) detection of mental illness among participants presenting in primary
95 rams (SSPs) could benefit from screening for mental illness among young PWID and strong linkage to he
96 depressive disorder (MDD) is a debilitating mental illness and a major cause of lost productivity wo
97 endorsed stigmatizing personal beliefs about mental illness and about persons with mental illness, ir
98 e personal beliefs and perceived norms about mental illness and about persons with mental illness.
99 nxiety disorders are the most common form of mental illness and are more likely to emerge during chil
102 care for people with chronic (or recurring) mental illness and comorbid physical health conditions,
103 her prevalence of BBVs in people with severe mental illness and identify interventions preventing inf
104 works and canonical pathways associated with mental illness and molecular signaling processes (e.g.,
106 dicated substantially higher rates of severe mental illness and substance use disorders among prisone
107 ons reporting prevalence estimates of severe mental illness and substance use disorders for 14 527 pr
108 vides estimates for the prevalence of severe mental illness and substance use disorders in incarcerat
109 dren aged 0-16 years are exposed to maternal mental illness and the prevalence of diagnosed and treat
112 demonstrated an association between various mental illnesses and cardio-cerebrovascular disease (CVD
114 e bi-directional relationships between major mental illnesses and diabetes suggest that there may be
117 mplications for the pathophysiology of major mental illnesses and the development of novel therapeuti
118 1.28 for PTSD and 1.28, 1.16-1.41 for severe mental illness) and the number of social integration str
119 4 717 839 individuals (501 559 patients with mental illness, and 4 216 280 controls), of whom 69.85%
120 Similarly, negative economic shocks cause mental illness, and antipoverty programs such as cash tr
121 patients with breast cancer with preexisting mental illness, and elderly women are of special interes
122 n suicide risk, even in the context of other mental illness, and implicate the time frame shortly aft
123 psychosis, which are markers of severity of mental illness, and older age, which is a marker of chro
126 conditions, self-care in persons with severe mental illness, and the influence of others (care partne
127 ction, is a common genetic locus of risk for mental illnesses, and remains one of the most prominentl
128 ny type of cancer screening in patients with mental illness; and studies that reported prevalence of
130 most risk factors for later vulnerability to mental illness are readily measured using existing, clin
133 teins in the brains of patients with chronic mental illness as a result of disruptions in proteostasi
135 inical phenotype in some patients with major mental illness as well as to improved nosology and ident
136 Criteria (RDoC) framework for understanding mental illnesses as brain circuit disorders that extend
137 was to define the prevalence of preexisting mental illness, as well as characterize the impact of a
140 the most likely functional variant for major mental illness at the PDE4D locus in the Finnish populat
142 individuals with a valid diagnosis of severe mental illness between Jan 1, 2007, and Dec 31, 2014, fr
143 le in modifying mortality outcomes in severe mental illness, but has received little attention to dat
144 xplains why reductionism is not possible for mental illness, but the same argument applies for the so
145 r disorder (BD) is one of the most heritable mental illnesses, but the elucidation of its genetic bas
146 T. gondii) antibodies in patients with major mental illnesses, but the underlying mechanism was uncle
148 enia-1 (DISC1) protein is a driver for major mental illness by influencing neurodevelopmental process
149 sence and progression of depression or other mental illnesses by jointly representing and modeling th
150 anistic hypotheses related to the biology of mental illness, by combining well-characterized neurobio
152 for posttraumatic stress disorder (PTSD), a mental illness characterized by the recurring avoidance
153 Major depressive disorder (MDD) is a serious mental illness, characterized by high morbidity, which h
154 ortality hazard between patients with severe mental illness compared with those without mental illnes
155 tality in ethnic minority groups with severe mental illness compared with white British people with s
157 Individuals were followed up until onset of mental illness, death, emigration, or the end of the stu
158 usal relationship between poverty and common mental illnesses-depression and anxiety-and the underlyi
159 om the CRPD to define the following maternal mental illnesses: depression, anxiety, non-affective psy
161 10 Medicare beneficiaries had a preexisting mental illness diagnosis, which was strongly associated
163 rn Uganda, portrayals of effectively treated mental illness did not appear to reduce endorsement of s
164 homolog, NVL2 has been linked to cancer and mental illness disorders, highlighting the need to under
165 C1), a well-accepted genetic risk factor for mental illness, display abnormal behaviours in response
166 greater emotional well-being, lower risk of mental illness, eating disorders, overweight or obesity
167 eased risk of CVD outcomes, with more severe mental illnesses (eg, primary psychotic disorders) havin
170 mate excess mortality for people with severe mental illness for five ethnic groups (white British, bl
174 I: 1.07-1.30) and cognitive domains of major mental illnesses (g-score p = 0.044, beta = -0.033).
177 ty areas, ethnic minority groups with severe mental illness had a lower risk of death (aRR 0.52, 95%
181 is health inequality, but people with severe mental illness have not historically engaged with smokin
183 ients were considered as having a history of mental illness if they had ever received psychiatric med
185 rrent body of evidence for the prevalence of mental illness in global refugee populations and overcom
186 during pregnancy to increased risk of severe mental illness in offspring (eg, bipolar disorder, schiz
187 between smoking during pregnancy and severe mental illness in offspring, adjusting for measured cova
189 children and adolescents exposed to maternal mental illness in the UK between 2005 and 2017 using pri
190 cating that the ECSS contributes to risk for mental illness in those exposed to severe stress and tra
192 h SZ or BP and (2) higher incidence of major mental illnesses in people with diabetes in the same lar
194 and hepatitis C (HCV) in people with severe mental illness, including the total adult (>/=18 years)
195 e proportion of children exposed to maternal mental illness increased from 22.2% (21.9-22.4) between
196 and highlights potential mechanisms by which mental illness influences long-term outcomes, including
197 tative studies were included if diagnosis of mental illness involved a clinical interview and use of
198 about mental illness and about persons with mental illness, irrespective of mental illness type (adj
199 of adversity emerges as individual risk for mental illness is an important step toward developing st
203 zophrenia (SZ), one of the most debilitating mental illnesses, is thought to arise, in part, from suc
204 diagnoses, but to understand the biology of mental illness it may be more useful to study traits whi
207 lthough the underlying neurobiology of major mental illness (MMI) remains unknown, emerging evidence
208 te the immense health and economic burden of mental illness, modifiable targets to promote psychologi
209 5% CI, 1.0-12.6]; P = .045), and symptoms of mental illness (mOR, 2.6 [95% CI, 1.2-5.5]; P = .012) we
210 95% CIs for associations between history of mental illness, mortality, and HIV treatment outcomes (r
212 al population), ovarian cancer (k=1; 37 with mental illness, none in general population), and prostat
213 lung and gastric cancer (both k=1; 420 with mental illness, none in general population), ovarian can
214 ess mortality among people with a history of mental illness occurred independently of HIV treatment s
215 e of BBVs was elevated in people with severe mental illness, of which 230 (0.24%) had HIV, 518 (0.53%
216 updating across individuals with and without mental illness, online participants, and rats chronicall
217 a transdiagnostic risk factor implicated in mental illness onset, treatment non-response, and suicid
218 % confidence interval (CI) 1.42-1.46, severe mental illness OR 1.71, 95%CI 1.66-1.77] and an extended
220 ce endorsement of stigmatizing beliefs about mental illness or about persons with mental illness.
221 udents aged 18 years or older with no severe mental illness or crisis (self-assessed) were randomly a
222 neglect; parental substance abuse; parental mental illness or suicide attempt; violence between pare
224 ession (OR 1.87, 95% CI 1.85-1.90) or severe mental illness (OR 2.86, 95% CI 2.77-2.94) was also asso
226 AFs of causes of ill health were highest for mental illness outcomes: ACEs were attributed to about 3
227 omestic violence (p < 0.05) and a history of mental illness (p < 0.01) were associated with higher sc
228 mental health has reported wide variation in mental illness prevalence data, partially attributable t
231 l risk factor of early-life social stress in mental illness, rearing rodents in persistent postweanin
233 -1.16; P = 0.206) and a reduction in overall mental illness related hospitalizations (IRR 0.76, 95% C
234 g approach, we could automatically recognise mental illness-related posts in our balenced dataset wit
235 le lines of evidence suggesting that a major mental illness-related susceptibility factor, Disrupted
236 ion models, vignette portrayals of untreated mental illness, relative to the control condition, incre
237 the odds of BBVs in individuals with severe mental illness, relative to the general population, and
238 -cause mortality in people with a history of mental illness remained increased in multivariable analy
240 from the Acknowledgements: 'Supported by the Mental Illness Research, Education and Clinical Center o
243 ified Poisson regression estimated perinatal mental illness risk between conception and 1 year postpa
244 ified Poisson regression estimated perinatal mental illness risk between conception and 1 year postpa
248 ty, and systemic racism; what is the role of mental illness, robbery, and domestic violence; what is
249 aged 15-65 years with a diagnosis of severe mental illness (schizophrenia spectrum or bipolar disord
250 he smoking cessation intervention for severe mental illness (SCIMITAR+) trial, a pragmatic, randomise
251 causes long-lasting disturbances related to mental illness.SIGNIFICANCE STATEMENT Hypofrontality is
252 higher mortality rates in people with severe mental illness (SMI) may be partly due to inadequate int
253 was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency,
255 ened life expectancy in patients with severe mental illness (SMI), but efforts to predict cardiovascu
256 c stress exposure increases vulnerability to mental illness, so the ECSS has attracted attention as a
259 ing protective against symptoms of the three mental illnesses studied, and the severity of flooding m
260 d history of domestic violence perpetration, mental illness, substance misuse, and suicide ideation o
261 s frequently report that patients with major mental illness such as schizophrenia and bipolar disorde
265 ion, with adaptations for people with severe mental illness-such as, extended pre-quit sessions, cut
267 common denominator" risk factor for several mental illnesses, targets BDNF in disease-implicated bra
268 p<0.0001) times higher in people with severe mental illness than in the general population, whereas t
271 ory pathway that is associated with multiple mental illnesses, the nonsense-mediated mRNA decay (NMD)
272 creased mortality from cancer in people with mental illness, this population receives less cancer scr
273 es should be developed to assist people with mental illness to undergo appropriate cancer screening,
274 are health services to patients with serious mental illness treated in community mental health settin
275 ssary to understand the relationship between mental illness treatment and stigmatizing attitudes in U
276 to assess the extent to which portrayals of mental illness treatment effectiveness influence persona
277 persons with mental illness, irrespective of mental illness type (adjusted risk ratios [ARRs] varied
278 from cancer, we assessed whether people with mental illness undergo less cancer screening compared wi
286 amme, and year of ART initiation, history of mental illness was associated with increased risk of mor
290 Stress Disorder 8 items (PTSD-8) and severe mental illness was measured with the Kessler Screening S
291 phically, the highest prevalence of maternal mental illness was observed in Northern Ireland (29.8%,
293 ll-cause mortality in people with history of mental illness were greatest in patients retained in car
294 mpared with white British people with severe mental illness were similar (aRR 0.96, 95% CI 0.71-1.29)
295 c stress leads to greater CVD risk, multiple mental illnesses were associated with an increased risk
296 (BD) is a highly heritable and heterogeneous mental illness whose manifestations often include impuls
298 s-level neural activity linked to domains of mental illness with potential application to the develop
301 site for therapeutic intervention in serious mental illness, yet we know very little about their dist