scholarly journals The tendency to stop collecting information is linked to illusions of causality

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
María Manuela Moreno-Fernández ◽  
Fernando Blanco ◽  
Helena Matute
Keyword(s):  
General Population ◽  
Associative Learning ◽  
Psychotic Disorders ◽  
Cognitive Biases ◽  
Causal Learning ◽  
Learning Study ◽  
Healthy Individuals ◽  
Additional Information ◽  
Jumping To Conclusions ◽  
Biased Judgments

AbstractPrevious research proposed that cognitive biases contribute to produce and maintain the symptoms exhibited by deluded patients. Specifically, the tendency to jump to conclusions (i.e., to stop collecting evidence soon before making a decision) has been claimed to contribute to delusion formation. Additionally, deluded patients show an abnormal understanding of cause-effect relationships, often leading to causal illusions (i.e., the belief that two events are causally connected, when they are not). Both types of bias appear in psychotic disorders, but also in healthy individuals. In two studies, we test the hypothesis that the two biases (jumping to conclusions and causal illusions) appear in the general population and correlate with each other. The rationale is based on current theories of associative learning that explain causal illusions as the result of a learning bias that tends to wear off as additional information is incorporated. We propose that participants with higher tendency to jump to conclusions will stop collecting information sooner in a causal learning study than those participants with lower tendency to jump to conclusions, which means that the former will not reach the learning asymptote, leading to biased judgments. The studies provide evidence in favour that the two biases are correlated but suggest that the proposed mechanism is not responsible for this association.

scholarly journals Delusional Ideation and Data Quality

2021 ◽  
Author(s):  
Justin Sulik ◽  
Robert M Ross ◽  
Ryan Balzan ◽  
Ryan McKay
Keyword(s):  
General Population ◽  
Data Quality ◽  
Population Study ◽  
Cognitive Biases ◽  
Continuum Models ◽  
General Population Study ◽  
Jumping To Conclusions ◽  
Delusional Ideation ◽  
Large N ◽  
Beads Task

According to continuum models of psychosis, cognitive biases contribute to delusional ideation in the general population. In a large (N = 1002) pre-registered general population study, we examine key specific predictions of such models; in particular, the hypotheses that delusional ideation in the general population is predicted by the Jumping to Conclusions bias (JTC), Over-adjustment, the Bias Against Disconfirm-ing Evidence (BADE), and the Liberal Acceptance bias (LA). Crucially, we include explicit indices of data quality, and incorporate a new, animated Beads Task which overcomes known problems with this instrument. Our results initially appear to replicate several classic findings concerning the relationships between delusional ideation and the aforementioned cognitive biases: Delusional ideation predicted JTC, overadjustment, and BADE. Importantly, however, we demonstrate that many of these classic findings are either severely diminished — or disappear entirely — when inattentive participants are removed from the analyses. These findings highlight crucial issues that need to be addressed to rigorously test continuum models of psychosis.

scholarly journals Adolescent cannabis use, baseline prodromal symptoms and the risk of psychosis

2018 ◽  
Vol 212 (4) ◽  
pp. 227-233 ◽  
Author(s):  
Antti Mustonen ◽  
Solja Niemelä ◽  
Tanja Nordström ◽  
Graham K. Murray ◽  
Pirjo Mäki ◽  
...  
Keyword(s):  
Substance Use ◽  
General Population ◽  
Birth Cohort ◽  
Psychotic Disorders ◽  
Temporal Order ◽  
Population Based ◽  
Cannabis Use ◽  
Prodromal Symptoms ◽  
Increased Risk ◽  
Icd 10

BackgroundThe association between cannabis use and the risk of psychosis has been studied extensively but the temporal order still remains controversial.AimsTo examine the association between cannabis use in adolescence and the risk of psychosis after adjustment for prodromal symptoms and other potential confounders.MethodThe sample (n = 6534) was composed of the prospective general population-based Northern Finland Birth Cohort of 1986. Information on prodromal symptoms of psychosis and cannabis use was collected using questionnaires at age 15–16 years. Participants were followed up for ICD-10 psychotic disorders until age 30 years using nationwide registers.ResultsThe risk of psychosis was elevated in individuals who had tried cannabis five times or more (hazard ratio, (HR) = 6.5, 95% CI 3.0–13.9). The association remained statistically significant even when adjusted for prodromal symptoms, other substance use and parental psychosis (HR = 3.0, 95% CI 1.1–8.0).ConclusionsAdolescent cannabis use is associated with increased risk of psychosis even after adjustment for baseline prodromal symptoms, parental psychosis and other substance use.Declaration of interestNone.

scholarly journals Correlation of adverse childhood experiences with psychiatric disorders and aggressiveness in adulthood

2010 ◽  
Vol 67 (8) ◽  
pp. 653-658 ◽  
Author(s):  
Ljiljana Samardzic ◽  
Gordana Nikolic ◽  
Grozdanko Grbesa ◽  
Maja Simonovic ◽  
Tatjana Milenkovic
Keyword(s):  
Psychiatric Disorders ◽  
Adverse Childhood Experiences ◽  
Psychotic Disorders ◽  
Psychiatric Patients ◽  
Statistical Significance ◽  
Healthy Individuals ◽  
Childhood Experiences ◽  
Positive Correlation ◽  
Adverse Childhood ◽  
Significant Difference

Background/Aim. Consequences of individual adverse childhood experiences for adult mental health have been precisely studied during past decades. The focus of past research was mainly on childhood maltreatment and neglect. The aim of this paper was to determine association between multiple adverse childhood experiences and psychiatric disorders, as well as their correlation to the degree and type of aggressiveness in adult psychiatric patients. Methods. One hundred and thirteen psychiatric outpatients were divided into three diagnostic groups: psychotics, non-psychotics and alcoholics and compared with fourty healthy individuals. Adverse childhood experiences data were gathered retrospectively, using the Adverse childhood experiences questionnaire and explanatory interview. Aggressiveness was assessed using Buss-Perry Aggression Questionnaire. The Student's t test, ANOVA and correlational analysis were used for evaluation of statistical significance of differences among the groups. A value p < 0.05 was considered statistically significant. Results. Our results showed that the mean number of adverse childhood experiences in each group of psychiatric patients, as well as in the whole group of patients, was statistically significantly higher than in the group of healthy individuals (p < 0.001); there was a statistically significant difference in score of physical aggressiveness between the patients exposed to adverse childhood experiences and those who were not exposed to them (p < 0.05); scores of physical aggressiveness were in positive correlation with the number of adverse childhood experiences (p < 0.05). The highest mean score of adverse childhood experiences was evidenced in the group of patients with psychotic disorders. Conclusion. Multiple adverse childhood experiences are significantly associated with psychotic disorders, nonpsychotic disorders and alcohol dependence in adulthood and their presence is important morbidity risk factor for psychiatric disorders. They are in positive correlation with physical aggressiveness of the patients from these diagnostic groups.

scholarly journals Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
◽  
Heli Julkunen ◽  
Anna Cichońska ◽  
P Eline Slagboom ◽  
Peter Würtz
Keyword(s):  
General Population ◽  
Disease Onset ◽  
Severe Pneumonia ◽  
Blood Sampling ◽  
Low Grade ◽  
Healthy Individuals ◽  
Metabolic Biomarkers ◽  
Low Grade Inflammation ◽  
Increased Susceptibility

Biomarkers of low-grade inflammation have been associated with susceptibility to a severe infectious disease course, even when measured prior to disease onset. We investigated whether metabolic biomarkers measured by nuclear magnetic resonance (NMR) spectroscopy could be associated with susceptibility to severe pneumonia (2507 hospitalised or fatal cases) and severe COVID-19 (652 hospitalised cases) in 105,146 generally healthy individuals from UK Biobank, with blood samples collected 2007–2010. The overall signature of metabolic biomarker associations was similar for the risk of severe pneumonia and severe COVID-19. A multi-biomarker score, comprised of 25 proteins, fatty acids, amino acids and lipids, was associated equally strongly with enhanced susceptibility to severe COVID-19 (odds ratio 2.9 [95%CI 2.1–3.8] for highest vs lowest quintile) and severe pneumonia events occurring 7–11 years after blood sampling (2.6 [1.7–3.9]). However, the risk for severe pneumonia occurring during the first 2 years after blood sampling for people with elevated levels of the multi-biomarker score was over four times higher than for long-term risk (8.0 [4.1–15.6]). If these hypothesis generating findings on increased susceptibility to severe pneumonia during the first few years after blood sampling extend to severe COVID-19, metabolic biomarker profiling could potentially complement existing tools for identifying individuals at high risk. These results provide novel molecular understanding on how metabolic biomarkers reflect the susceptibility to severe COVID-19 and other infections in the general population.

Mortality in offspring of mothers with psychotic disorder

2007 ◽  
Vol 38 (8) ◽  
pp. 1203-1210 ◽  
Author(s):  
J. Suvisaari ◽  
L. Häkkinen ◽  
J. Haukka ◽  
J. Lönnqvist
Keyword(s):  
High Risk ◽  
General Population ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
Suicide Attempts ◽  
Risk Group ◽  
High Risk Group ◽  
Suicide Mortality ◽  
Increased Risk ◽  
Maternal Suicide

BackgroundPrevious studies suggest that offspring of mothers with psychotic disorders have an almost two-fold higher mortality risk from birth until early adulthood. We investigated predictors of mortality from late adolescence until middle age in offspring of mothers with psychotic disorders.MethodThe Helsinki High-Risk Study follows up offspring (n=337) of women treated for schizophrenia spectrum disorders in mental hospitals in Helsinki before 1975. Factors related to mortality up to 2005 among offspring of these mothers was investigated with a survival model. Hazard rate ratios (HRR) were calculated using sex, diagnosis of psychotic disorder, childhood socio-economic status, maternal diagnosis, and maternal suicide attempts and aggressive symptoms as explanatory variables. The effect of family was investigated by including a frailty term in the model. We also compared mortality between the high-risk group and the Finnish general population.ResultsWithin the high-risk group, females had lower all-cause mortality (HRR 0.43, p=0.05) and mortality from unnatural causes (HRR 0.24, p=0.03) than males. Having themselves been diagnosed with a psychotic disorder was associated with higher mortality from unnatural causes (HRR 4.76, p=0.01), while maternal suicide attempts were associated with higher suicide mortality (HRR 8.64, p=0.03). Mortality in the high-risk group was over two-fold higher (HRR 2.44, p<0.0001) than in the general population, and remained significantly higher when high-risk offspring who later developed psychotic disorders were excluded from the study sample (HRR 2.30, p<0.0001).ConclusionsOffspring of mothers with psychotic disorder are at increased risk of several adverse outcomes, including premature death.

Evidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study

2020 ◽  
pp. 1-10
Author(s):  
Tais S. Moriyama ◽  
Marjan Drukker ◽  
Sinan Guloksuz ◽  
Magreet ten Have ◽  
Ron de Graaf ◽  
...  
Keyword(s):  
Risk Factors ◽  
General Population ◽  
Help Seeking ◽  
Psychotic Disorders ◽  
Underlying Mechanism ◽  
Auditory Hallucinations ◽  
Delusional Ideation ◽  
Persistence Rate ◽  
Sensory Modalities ◽  
Yearly Incidence

Abstract Background Although hallucinations have been studied in terms of prevalence and its associations with psychopathology and functional impairment, very little is known about sensory modalities other than auditory (i.e. haptic, visual and olfactory), as well the incidence of hallucinations, factors predicting incidence and subsequent course. Methods We examined the incidence, course and risk factors of hallucinatory experiences across different modalities in two unique prospective general population cohorts in the same country using similar methodology and with three interview waves, one over the period 1996–1999 (NEMESIS) and one over the period 2007–2015 (NEMESIS-2). Results In NEMESIS-2, the yearly incidence of self-reported visual hallucinations was highest (0.33%), followed by haptic hallucinations (0.31%), auditory hallucinations (0.26%) and olfactory hallucinations (0.23%). Rates in NEMESIS-1 were similar (respectively: 0.35%, 0.26%, 0.23%, 0.22%). The incidence of clinician-confirmed hallucinations was approximately 60% of the self-reported rate. The persistence rate of incident hallucinations was around 20–30%, increasing to 40–50% for prevalent hallucinations. Incident hallucinations in one modality were very strongly associated with occurrence in another modality (median OR = 59) and all modalities were strongly associated with delusional ideation (median OR = 21). Modalities were approximately equally strongly associated with the presence of any mental disorder (median OR = 4), functioning, indicators of help-seeking and established environmental risk factors for psychotic disorder. Conclusions Hallucinations across different modalities are a clinically relevant feature of non-psychotic disorders and need to be studied in relation to each other and in relation to delusional ideation, as all appear to have a common underlying mechanism.

scholarly journals The muscarinic M1 receptor modulates associative learning and memory in psychotic disorders

2020 ◽  
Vol 27 ◽  
pp. 102278
Author(s):  
Geor Bakker ◽  
Claudia Vingerhoets ◽  
Oswald J.N. Bloemen ◽  
Barbara J. Sahakian ◽  
Jan Booij ◽  
...  
Keyword(s):  
Associative Learning ◽  
Learning And Memory ◽  
Psychotic Disorders ◽  
M1 Receptor

scholarly journals Jumping to conclusions, general intelligence, and psychosis liability: findings from the multi-centre EU-GEI case-control study

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Giada Tripoli ◽  
Diego Quattrone ◽  
Laura Ferraro ◽  
Charlotte Gayer-Anderson ◽  
Victoria Rodriguez ◽  
...  
Keyword(s):  
Cognitive Biases ◽  
Population Based ◽  
Case Control ◽  
Risk Scores ◽  
First Episode ◽  
Polygenic Risk Score ◽  
General Intelligence ◽  
Polygenic Risk ◽  
Jumping To Conclusions ◽  
Episode Psychosis

Abstract Background The ‘jumping to conclusions’ (JTC) bias is associated with both psychosis and general cognition but their relationship is unclear. In this study, we set out to clarify the relationship between the JTC bias, IQ, psychosis and polygenic liability to schizophrenia and IQ. Methods A total of 817 first episode psychosis patients and 1294 population-based controls completed assessments of general intelligence (IQ), and JTC, and provided blood or saliva samples from which we extracted DNA and computed polygenic risk scores for IQ and schizophrenia. Results The estimated proportion of the total effect of case/control differences on JTC mediated by IQ was 79%. Schizophrenia polygenic risk score was non-significantly associated with a higher number of beads drawn (B = 0.47, 95% CI −0.21 to 1.16, p = 0.17); whereas IQ PRS (B = 0.51, 95% CI 0.25–0.76, p < 0.001) significantly predicted the number of beads drawn, and was thus associated with reduced JTC bias. The JTC was more strongly associated with the higher level of psychotic-like experiences (PLEs) in controls, including after controlling for IQ (B = −1.7, 95% CI −2.8 to −0.5, p = 0.006), but did not relate to delusions in patients. Conclusions Our findings suggest that the JTC reasoning bias in psychosis might not be a specific cognitive deficit but rather a manifestation or consequence, of general cognitive impairment. Whereas, in the general population, the JTC bias is related to PLEs, independent of IQ. The work has the potential to inform interventions targeting cognitive biases in early psychosis.

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