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Gepubliceerd in: Cognitive Therapy and Research 2/2021

Open Access 01-10-2020 | Original Article

Self-Reported Cognitive Functions Predict the Trajectory of Paranoid Ideation Over a 15-Year Prospective Follow-Up

Auteurs: Aino I. L. Saarinen, Niklas Granö, Terho Lehtimäki

Gepubliceerd in: Cognitive Therapy and Research | Uitgave 2/2021

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Abstract

Background

This study investigated whether self-reported cognitive functions (i.e. task orientation, distractibility, persistence, flexibility, and perseverance) predict the trajectory of paranoid ideation over a 15-year prospective follow-up in adulthood.

Methods

The participants came from the population-based Young Finns study (N = 1210‒1213). Paranoid ideation was assessed with the Paranoid Ideation Scale of the Symptom Checklist-90 Revised (SCL-90R) in 1997, 2001, 2007, and 2012. Self-reported cognitive functions were evaluated in 1997 with the Task orientation, Distractibility, Persistence, and Flexibility scales of the DOTS-R (the Revised Dimensions of Temperament Survey) and the Perseverance scale of the FCB-TI (the Formal Characteristics of Behaviour – Temperament Inventory). The data was analyzed using growth curve models that were adjusted for age, sex, and socioeconomic factors in childhood and adulthood.

Results

Low self-reported task orientation, low persistence, high distractibility, low flexibility, and high perseverance predicted higher level of paranoid ideation over the 15-year follow-up.

Conclusions

Self-reported cognitive functions seem to predict paranoid ideation over a long-term follow-up. Promoting cognitive functions in early interventions may have long-term protective influences against the development of paranoid ideation in non-clinical populations.
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The online version of this article (https://​doi.​org/​10.​1007/​s10608-020-10142-z) contains supplementary material, which is available to authorized users.

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Introduction

Paranoid ideation refers to an unjustified suspiciousness towards others so that others’ motives are supposed to be malevolent (APA 2013). Paranoid ideation can be regarded as a continuum, from mild and subclinical levels to severe paranoid ideation (e.g. Freeman et al. 2005; Freeman and Garety 2014; Van Os 2003). Mild paranoia includes, for example, transient and uncertain ideas about negative rumors circulating around the self (Freeman and Garety 2014). More severe paranoia, in turn, may refer to paranoid personality disorder that includes stable and convincing beliefs that others are deliberately trying to cause significant harm to the self (Freeman and Garety 2014). Most severe paranoid ideation may be manifested as persecutory delusions and, thus, reach the level of psychosis (Van Os 2003).
Paranoid ideation has aroused significant interest because of its relatively high prevalence and societal disadvantages. Specifically, the prevalence of mild paranoid ideas is about 10% in China (Chan et al. 2011) and even in 40% in the UK (Freeman et al. 2005). The lifetime prevalence of psychotic-level persecutory delusions is estimated to be approximately 5‒8% (Freeman and Freeman 2008; Mohr et al. 2008; Rutten et al. 2008). Additionally, paranoid ideation is related to substantial psychiatric comorbidity with, for example, depression, anxiety, post-traumatic stress disorder, substance abuse, and even suicidality (Alsawy et al. 2015; Chen et al. 2003; Freeman et al. 2011).
Importantly, paranoid ideation is noted to be linked to stigmatization and low symptom awareness that, in turn, may hinder from seeking help and also disturb with the formation of psychotherapeutic alliance (Świtaj et al. 2009; Wright et al. 2012). Traditionally, individuals with paranoid ideation have been provided with heterogeneous interventions, including psychodynamic therapy, cognitive analytic therapy, day program interventions, or self-dialogical methods (Bartak et al. 2011; Bornstein 2005; Dimaggio et al. 2006; Kellett and Hardy 2014). However, even though these psychotherapeutically oriented treatments typically require a long time span with number of sessions, the results about their effectiveness have been inconclusive (Bartak et al. 2011; Karterud et al. 2003).
Consequently, there has been an urgent need for novel interventions for paranoid ideation. Generally, recent emphasis has been directed on early interventions for subclinical symptoms (McGorry 2010; Scott et al. 2013). Moreover, there has been increasing interest in maladaptive cognitive functions of paranoid ideation and cognitive remediation interventions. In a variety of psychiatric populations, the most significant deficits seem to occur in executive functioning, working memory, and inhibitory control (Brewer et al. 2006; Koutsouleris et al. 2011; Rock et al. 2014). For example, longitudinal studies in high-risk populations have demonstrated that high levels of cognitive functioning (i.e. attention, vigilance, working memory) predict a lower risk for psychosis over a 6-month follow-up (Barbato et al. 2013), over a 1-year follow-up (Keefe et al. 2006), over a follow-up of a few years (Seidman et al. 2016), and even over a 7-year follow-up (Lin et al. 2011). Taken together, executive functioning seems to play a critical role in the transition from subclinical stage to more severe symptomatology.
However, to the best of our knowledge, there have been no longitudinal studies investigating whether cognitive functions predict the course of paranoid ideation. To date, there exist cross-sectional studies suggesting that frequent perseveration correlated with higher paranoid ideation in high-risk individuals (Berry et al. 2015; Valmaggia et al. 2007) and in clinical patients (Peer et al. 2004). Additionally, an impulsive cognitive style is found to be related to paranoid symptoms (Freeman et al. 2002). In particular, paranoid ideation is related to specific cognitive biases such as “jumping to conclusions” (i.e. an impulsive style to draw conclusions), an external-personal attribution style (i.e. attributing some external events to the self in a biased way), and an elevated sensitivity to direct attention to threat-related information (Bentall et al. 2001; Freeman 2014). Furthermore, it has been suggested that deficits in cognitive inhibition may lower one’s ability to control unjustified interpretations about others’ behavior and, in that way, to increase the risk for paranoid beliefs (Freeman et al. 2002).
Previous intervention studies have mostly evaluated the level of cognitive functions using neuropsychological test patterns or observations by health care professionals, while evidence is lacking whether self-experienced cognitive functions might be associated with paranoid ideation. There is, however, evidence that impairments in executive functioning commonly result in a variety of self-reported challenges in social and every-day functioning that result in lower quality of life (Addington et al. 2008; Niendam et al. 2007). On the other hand, it has been reported that psychiatric patients may compensate their neurophysiological deficits in some brain regions by hyperactivating adjacent brain regions (Cooper et al. 2014). There is also evidence for compensatory cognitive capacities in healthy individuals during test situation (Strobach et al. 2012) and in schizophrenia patients (Holthausen et al. 2002). Hence, all cognitive deficits may not necessarily be detected in neuropsychological tests. Along with this, previous studies have found that the correlation of neurocognitive tests with every-day level of functioning is only moderate (Chaytor and Schmitter-Edgecombe 2003; Odhuba et al. 2005). Hence, it has been emphasized that cognitive functions should be investigated also with self-reports in order to gain insights into practical every-day functioning (Løvstad et al. 2012).
Previously, it has been found that there is a decline in the level of paranoid ideation over age (Saarinen et al. 2018b). This study investigated whether different levels of self-reported cognitive functioning predict different trajectories of paranoid ideation over a 15-year prospective follow-up. We used the population-based Young Finns data that provided exceptional possibilities to investigate the trajectories of paranoid ideation in a population-based and non-clinical sample. Cognitive functions were evaluated with participants’ self-reported levels of task orientation, distractibility, persistence, flexibility, and perseverance that have essential roles for every-day functioning.

Methods

Participants

We used data from the prospective Young Finns Study. The participants were selected randomly from six age cohorts (born between 1962 and 1977) from the population register of the Social Insurance Institution. The Social Insurance Institution covers the whole population of Finland. The original sample included 3596 participants in the baseline measurement in 1980 (when participants were aged 3‒18 years). The participants have been followed since then so that the latest follow-up measurement was in 2012 (participants were aged 35‒50 years). The study was carried out in accordance with the Declaration of Helsinki. Furthermore, the design of the Young Finns Study was approved by all the Finnish universities with medical schools. Before participation, all the participants or their parents (for participants aged below 12 years) provided informed consent after the nature of the procedures had been fully explained. The design of the Young Finns Study is described with more detail elsewhere (see Raitakari et al. 2008).
For this study, paranoid ideation was evaluated in 1997, 2001, 2007, and 2012; cognitive functions in 1997; participants’ socioeconomic factors in 2011; and parents’ socioeconomic factors in 1980. In the analyses, we included all the participants with data available on the study variables (i.e. full data available on age, gender, and socioeconomic factors; data available on paranoid ideation in at least one of the measurement points; and data available on each cognitive function in 1997). Other participants (e.g. participants who did not have data available on cognitive functions in 1997) were excluded. The final sample included 1210‒1213 participants in the analyses.

Measures

Self-Reported Cognitive Functions

Self-reported cognitive functions included flexibility, task orientation, persistence, distractibility, and perseverance. Flexibility refers to the ability to adapt one’s behavior to unexpected changes of the situation or circumstances. Task orientation is defined as the disposition to work in a goal-oriented way and to self-regulate one’s behavior to achieve the goals. Persistence refers to the disposition to continue working toward the goals despite temporary frustration or challenges. Distractibility refers to disposition to become interrupted by irrelevant internal and external stimuli and to easily direct attention away from the task along with other stimuli. Perseverance is defined as the disposition to response repetition or the inability to undertake set shifting in line with the circumstances (e.g. rethink previous decisions or get stuck into a working phase).
Flexibility, task orientation, persistence, and distractibility were evaluated with the DOTS-R (the Revised Dimensions of Temperament Survey) (Windle and Lerner 1986). The scale of task orientation includes 9 items and two subscales, namely distractibility (4 items, e.g. “When I’m concentrating on a task, any environmental stimuli cannot catch my attention”) and persistence (3 items, e.g. “I usually continue working until I have completed the task”). The scale of flexibility included 6 items (e.g. “Changes in my plans make me nervous”). All the items were responded with a 5-point scale (1 = totally disagree; 5 = totally agree). In this study, the internal consistencies of the scales were adequate for the scales of task orientation (Cronbach’s α = 0.79), distractibility (α = 0.79), and flexibility (α = 0.69). Internal consistency of persistence was lower (α = 0.59) that may partly result from the low number of items. Furthermore, the stability of the scales is shown to be adequate (Windle and Windle 2006).
Perseverance was measured with the FCB-TI (the Formal Characteristics of Behaviour—Temperament Inventory) (Strelau and Zawadzki 1993). The scale of perseverance consists of 20 items (e.g. “After completing a time-taking task, I shortly stop thinking about it” or “Usually I do not start rethinking about the decisions that I have made previously” [reversed]) that were responded with no (score 0) or yes (score 1). The internal consistency of the scale was adequate (Cronbach’s α = 0.70). Furthermore, previous studies have confirmed the validity, stability, and internal reliability of the scale (e.g. De Pascalis et al. 2000; Strelau and Zawadzki 1993, 1995).
We calculated the mean scores of flexibility, task orientation, persistence, distractibility, and perseverance for all the participants who had responded to at least 50% of the items.

Paranoid Ideation

Paranoid ideation was evaluated with the Paranoid Ideation Scale of the Symptom Checklist-90 Revised (SCL-90R; Derogatis 1986). It includes 6 items (e.g. “I think that other people would take advantage of me if I let them to do that”) that are responded with a 5-point scale (1 = totally disagree; 5 = totally agree). The internal reliability of the scale was good (Cronbach’s α = 0.74‒0.80 in 1997, 2001, 2007, and 2012). We calculated the mean score of the items for each measurement year if the participant had responded to at least 50% of the items. The scores for paranoid ideation were standardized with the mean and standard deviation of year 1997 scores, in order to stabilize the growth curve trajectories between different measurement years. The scale of paranoid ideation has been used also previously (e.g. Saarinen et al. 2018a, b). Previous studies have confirmed good reliability and discriminant validity for the SCL-90R and for the subscale of paranoid ideation (e.g. Olsen et al. 2004; Schmitz et al. 2000; Starcevic et al. 2000). Higher scores for paranoid ideation are found to discriminate between patients with paranoid conditions and controls and to predict less mature character traits (Bjørkly 2002; Saarinen et al. 2018b).

Covariates

Socioeconomic factors included participants’ and their parents’ level of income and educational level. Participants’ and their parents’ educational level was categorized into three categories (1 = comprehensive school; 2 = high school or occupational school; 3 = academic level, i.e. university or college). If mother’s and father’s educational levels differed from each other, we selected the higher level of education. Level of parents’ income included 8 categories (1 = less than 15 000 Finnish mark per year; 8 = more than 100 000 Finnish mark per year). Participants’ level of income was evaluated with a 13-point scale (1 = less than 5 000€ per year; 13 = more than 60 000€ per year).

Statistical Analyses

Statistical analyses were conducted with STATA SE (version 13.0). The association of self-reported cognitive functions with paranoid ideation was investigated using multilevel models for longitudinal design (growth curve models). Growth curve models estimate two types of effects: i) “fixed effects” that refer to classic regression coefficients, and ii) “random effects” that refer to the individual-level variance in the intercept, slopes, and residual variance (i.e. within-individual variance over the follow-up time). In all the analyses, we predicted the course of paranoid ideation over the 15-year follow-up time (in 1997‒2012) by self-reported cognitive functions. Each indicator of cognitive functions (flexibility, task orientation, persistence, distractibility, and perseverance) was included separately in the analysis as time-invariant predictor. All the models were adjusted for follow-up time, follow-up time squared, age, sex, and participants’ and their parents’ socioeconomic factors. Further, we investigated whether the associations of self-reported cognitive functions with paranoid ideation change over the follow-up. For this purpose, we included the interactions of follow-up time with cognitive functions in the models.

Results

The descriptive statistics of the study variables are shown in Table 1. The correlation coefficients between the study variables are presented in Supplementary Table 1. Briefly, the inter-correlations between the cognitive functions were as follows: r(correlation of flexibility with other cognitive functions) = [− 0.283; 0.166]; r(correlation of perseverance with other cognitive functions) = [− 0.283; 0.166]; r(correlation of task orientation with flexibility or perseverance) = [− 0.163; 0.134]. The strongest correlation was found between task orientation and its subscale persistence (r = 0.719).
Table 1
The means, standard deviations (SD), frequencies, and ranges of the study variables
 
Mean
SD
Measurement range
 
Frequency (%)
Age (1997)
27.479
4.983
20–35
  
Sex (female)
    
737 (60.76)
Parents' educational level
     
Comprehensive school
    
377 (31.08)
High school or occupational school
    
510 (42.04)
Academic level
    
326 (26.88)
Parents' level of income
4.986
1.889
1–8
  
Participants’ educational level
     
Comprehensive school
    
22 (1.81)
High school or occupational school
    
632 (52.10)
Academic level
    
559 (46.08)
Participants' level of income
7.350
3.003
1–13
  
Flexibility
3.925
0.608
1–5
  
Task orientation
3.249
0.599
1–5
  
Persistence
3.698
0.645
1–5
  
Distractibility
2.980
0.732
1–5
  
Perseverance
0.576
0.186
0–1
  
Paranoid ideation
     
1997
2.424
0.648
1–5
  
2001
2.277
0.630
1–5
  
2007
2.124
0.641
1–5
  
2011
2.134
0.669
1–5
  
Attrition analyses showed that women were more likely to participate than men (40.2% vs. 27.0%, p < 0.001). There was no attrition bias in age, flexibility, task orientation, distractibility, persistence, or perseverance between included and excluded participants. Included participants had slightly lower level of paranoid ideation in 1997 (2.424 vs. 2.546, p < 0.001), in 2001 (2.277 vs. 2.385, p < 0.001), in 2007 (2.124 vs. 2.194, p < 0.05), and in 2012 (2.134 vs. 2.212, p < 0.05). There was no attrition bias in participants’ level of income. Furthermore, included participants’ parents had slightly higher level of income (4.986 vs. 4.691, p < 0.001) and were less likely to have low educational level (31.1% vs. 36.6%, p < 0.01) than excluded participants’ parents. Previously, values of the psychosocial variables of the Young Finns data are found to be missing at random (Pulkki-Råback et al. 2015).
The results of the growth curve models are shown in Table 2. Regarding cognitive functions, the main effects showed that low flexibility (B = − 0.509, p < 0.001), task orientation (B = − 0.291, p < 0.001), and persistence (B = − 0.252, p < 0.001) predicted higher course of paranoid ideation. Additionally, high distractibility (B = 0.116, p < 0.001) and perseverance (B = 1.427, p < 0.001) predicted higher course of paranoid ideation. When predicting paranoid ideation, there were no significant interaction effects of follow-up time/follow-up time-squared with task orientation, persistence, or distractibility. That is, a difference in the cognitive functions at the baseline measurement (in 1997) predicted a stable difference in paranoid ideation over the 15-year follow-up (from 1997 to 2012). We obtained follow-up-interactions with flexibility (p < 0.05) and perseverance (p < 0.05), when predicting the course of paranoid ideation, but these interactions were not significant after Bonferroni correction for multiple testing. That is, between participants with high vs. low level of cognitive functions, there were no significant differences in the course of paranoid ideation over the follow-up. Taken together, the results showed that there was a decline in the level of paranoid ideation over the follow-up, independently of the level of cognitive functions at the baseline measurement point. Moreover, the results indicated that high flexibility, high task orientation, high persistence, low distractibility, and low perseverance predicted lower level of paranoid ideation over the 15-year prospective follow-up. The findings are illustrated in Fig. 1.
Table 2
Results of the growth curve models. Estimates (B) with p-values (within brackets) of task orientation, distractibility, persistence, perseverance, flexibility and follow-up time, when predicting the growth curve of paranoid ideation in adulthood
 
Fixed effects
Random effects
Predictor
Time
Time2
Predictor*
Time
Predictor*
time2
Variance of intercept
Variance of time
Residual variance
Task orientation
− 0.219 (< 0.001)
− 0.068 (0.027)
0.003 (0.157)
0.000 (0.970)
0.000 (0.925)
0.724 (< 0.05)
0.034 (< 0.05)
0.537 (< 0.05)
Distractibility
0.116 (0.001)
− 0.084 (< 0.001)
0.003 (0.048)
0.005 (0.534)
0.000 (0.804)
0.730 (< 0.05)
0.034 (< 0.05)
0.537 (< 0.05)
Persistence
− 0.252 (< 0.001)
− 0.104 (0.001)
0.004 (0.053)
0.009 (0.280)
0.000 (0.495)
0.718 (< 0.05)
0.034 (< 0.05)
0.537 (< 0.05)
Perseverance
1.427 (< 0.001)
− 0.026 (0.149)
0.000 (0.743)
− 0.075 (0.012)
0.004 (0.041)
0.696 (< 0.05)
0.034 (< 0.05)
0.537 (< 0.05)
Flexibility
− 0.509 (< 0.001)
− 0.149 (< .001)
0.007 (0.003)
0.020 (0.025)
− 0.001 (0.065)
0.675 (< 0.05)
0.034 (< 0.05)
0.537 (< 0.05)
N = 1210–1213 Adjusted for age, sex, and participants’ and their parents’ socioeconomic factors
STATA does not report the exact p-values for random effects
We further investigated whether participants’ age might modify the associations of cognitive functions with paranoid ideation. That is, whether participants in different age periods and with different cognitive functions could have different developmental trajectories of paranoid ideation. There were no significant 2-way interactions between age (p > 0.05) and cognitive functions or 3-way interactions between age, cognitive functions, and follow-up time (p > 0.05). Consequently, the associations of cognitive functions with paranoid ideation seemed to be evident regardless of participants’ age.

Discussion

To the best of our knowledge, this study was the first to longitudinally investigate the relationship of self-reported cognitive functions with paranoid ideation. The findings showed clear associations of all the single cognitive functions with paranoid ideation. That is, the results demonstrated that low flexibility, low task orientation, low persistence, high distractibility, and high perseverance predicted higher level of paranoid ideation. These associations were systematically evident over a 15-year prospective follow-up in adulthood. All the findings remained after controlling for age, sex, and participants’ and their parents’ socioeconomic factors. Overall, the results indicate that individuals with lower self-reported cognitive functioning are more prone to paranoid ideation.
The findings are highly in accordance with previous literature. Firstly, high perseverance is linked to higher levels of somatic anxiety, sensory sensitivity, and emotional reactivity (Fruehstorfer et al. 2012; Jankowski and Zajenkowski 2012) and also more frequent beliefs about uncontrollability and danger of upcoming situations (Dragan and Dragan 2014) that, in turn, are reported to increase risk for higher paranoid ideation (Freeman et al. 2002; Freeman 2007). Secondly, low vigilance (high task distractibility, conversely) predicts lower level of social functioning (Meyer et al. 2014). Lowered social activity and staying away from interpersonal contacts, in turn, may result in fewer possibilities to receive contradictory evidence for one’s paranoid beliefs (Morse and Lynch 2004). Finally, intervention studies suggest that lower level of inhibitory control is related to more frequent intrusive thoughts (Bomyea and Amir 2011). Intrusive mental imagery, in turn, is related to higher paranoid ideation (Schulze et al. 2013). Taken together, cognitive impairments may predict an array of alterations in socioemotional processes and every-day behavioral activities that, in turn, may increase risk for the emergence of paranoid ideation.
Previous evidence suggests that besides of the psychosocial associations between cognitive functions and paranoid ideation, there may also exist a neurophysiological pathway from cognitive functions to paranoid ideation. Specifically, neurophysiological alterations in the frontal cortex may likely explain a major part of the associations of cognitive functions with paranoid ideation. For example, studies among patients with neurosurgical lesions or delusions have shown that deficits in the prefrontal cortex are linked to biases in cognitive processing, such as “jumping to conclusions” and deficits in prediction-error processing (i.e. difficulties to expect rewards in different situations on the basis of one’s previous experiences) (Corlett et al. 2007; Lunt et al. 2012). These cognitive biases, in turn, are strongly related to paranoia and other delusions (Corlett et al. 2007; Freeman et al. 2008). The neurophysiological deficits in the frontal lobe may partly derive from alterations in dopamine-related neurotransmission. That is, several studies have shown that cognitive impairments are related to dopamine-mediated dysfunctions in the frontal lobes (Abi-Dargham et al. 2002; Goldman-Rakic et al. 2004) that are suggested to predispose to the emergence of delusional ideation (Pankow et al. 2012).
Overall, it is necessary to consider that, besides of cognitive functions, there are a variety of other factors affecting the development of paranoid ideation: for example, early life experiences, sleep disturbances, reasoning biases, attributional styles, temperament traits related to anxiety-proneness, and depressive symptoms (Bentall et al. 2001; Freeman 2014; Saarinen et al. 2018a,b). Hence, training cognitive functions can be a part of treatment programs for paranoid ideation but also other types of interventions are needed.
This study had some limitations that are necessary to be taken into consideration. Firstly, despite the appropriate temporal design of this study, we could not investigate the interaction between cognitive functions and paranoid ideation. Previous evidence suggests that there may likely exist also indirect pathways from high paranoid ideation to cognitive functions. For example, severe paranoid ideation may increase stress, anxiety, and social isolation (APA 2013; Freeman 2007; Morse and Lynch 2004) that, in turn, may increase risk for deficits in cognitive functions (Cacioppo and Hawkley 2009; Derakshan and Eysenck 2009). Recent meta-analyses in clinical populations, however, have concluded that in most cases cognitive deficits are evident before the onset of symptomatology and that there appears to be no cognitive decline thereafter (Bora and Murray 2013; Rock et al. 2014). In this light, impairments in cognitive functions may be rather a predisposing factor than a consequency of paranoid ideation.
Secondly, as we used population-based data, our findings may not be generalized to clinical populations where paranoid ideation is clinically significant and reaches the level of paranoid personality disorder or psychosis. However, the current emphasis in interventions has been directed towards early preventive interventions for subclinical symptoms (McGorry 2010; Scott et al. 2013). This study responds to the need of early interventions, by providing new evidence for developing cognitive training interventions for individuals with subclinical paranoid ideation.
To the best of our knowledge, this is the longest follow-up study of the relationships of cognitive functions with paranoid ideation so far. Our findings provide several valuable implications for clinical practice. Previously, individuals with paranoid ideation have been treated with psychotherapeutically oriented interventions, such as psychodynamic therapy, cognitive analytic therapy, or self-dialogical methods (Bornstein 2005; Dimaggio et al. 2006; Kellett and Hardy 2014). However, even though those interventions commonly consist of a long-term set of meetings, their effectiveness has remained uncertain (e.g. Dixon-Gordon et al. 2011; Karterud et al. 2003; Schneider and Klauer 2001). Our findings suggest that promoting every-day cognitive functioning might have long-term protective effects against paranoid ideation in adulthood. Importantly, cognitive training is found to improve cognitive skills even within 2–3 months (Pisculic et al. 2015; Twamley et al. 2012), probably providing a cost-effective intervention for high-risk groups. Further, cognitive training may be particularly effective in subclinical populations (Rauchensteiner et al. 2011), so that it could be provided at the early stages of paranoid ideation. In addition to direct cognitive training, the interventions could be directed to providing beneficial preconditions for effective cognitive functioning e.g. through stress reduction and promoting healthy lifestyle like sufficient sleep.
To date, psychotherapeutic interventions for paranoid ideation have typically aimed to promote symptom awareness and insight into one’s deeper mental processes. Symptom awareness itself, however, may not necessarily improve treatment outcome. Instead, there is evidence that among paranoid patients, high insight may be linked to lower levels of self-acceptance, sense of autonomy, and personal growth (Valiente et al. 2011). With regard to treatment outcome, the crucial factor appears to be stigmatization. That is, when high symptom awareness occurs together with low stigmatization, the treatment outcomes seem to be substantially enhanced (Lysaker et al. 2006; Staring et al. 2009; Valiente et al. 2011). Our findings suggest that paranoid ideation is linked to self-experienced and self-recognized challenges in daily cognitive functioning. Moreover, challenges in every-day cognitive functioning do not fulfill any diagnosis that might increase stigmatization. Consequently, interventions focusing on self-experienced impairments in every-day cognitive functioning might provide a possible pathway to increase symptom awareness without resulting in stigmatization. This, in turn, might reduce treatment resistance and enhance the development of confidential relationships with health care professionals.

Acknowledgements

The Young Finns Study has been financially supported by the Academy of Finland: Grants 322098, 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117797 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); the Juho Vainio Foundation; the Sigrid Juselius Foundation; the Yrjö Jahnsson Foundation; the Paavo Nurmi Foundation; the Finnish Foundation of Cardiovascular Research and Finnish Cultural Foundation; the Tampere Tuberculosis Foundation; the Emil Aaltonen Foundation; and Diabetes Research Foundation of Finnish Diabetes Association.

Compliance with Ethical Standards

Conflict of Interest

Aino I. L. Saarinen, Niklas Granö, and Terho Lehtimäki declare that they have no conflict of interest.

Ethical Approval

The study was carried out in accordance with the Declaration of Helsinki. Furthermore, the design of the Young Finns Study was approved by all the Finnish universities with medical schools.
Before participation, all the participants or their parents (for participants aged below 12 years) provided informed consent after the nature of the procedures had been fully explained.

Animal Rights

No animal studies were carried out by the authors for this article.
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Literatuur
go back to reference Abi-Dargham, A., Mawlawi, O., Lombardo, I., Gil, R., Martinez, D., Huang, Y., et al. (2002). Prefrontal dopamine D1 receptors and working memory in schizophrenia. Journal of Neuroscience, 22, 3708–3719.PubMed Abi-Dargham, A., Mawlawi, O., Lombardo, I., Gil, R., Martinez, D., Huang, Y., et al. (2002). Prefrontal dopamine D1 receptors and working memory in schizophrenia. Journal of Neuroscience, 22, 3708–3719.PubMed
go back to reference Addington, J., Penn, D., Woods, S. W., Addington, D., & Perkins, D. O. (2008). Social functioning in individuals at clinical high risk for psychosis. Schizophrenia Research, 99, 119–124.PubMed Addington, J., Penn, D., Woods, S. W., Addington, D., & Perkins, D. O. (2008). Social functioning in individuals at clinical high risk for psychosis. Schizophrenia Research, 99, 119–124.PubMed
go back to reference Alsawy, S., Wood, L., Taylor, P. J., & Morrison, A. P. (2015). Psychotic experiences and PTSD: exploring associations in a population survey. Psychological Medicine, 45, 2849–2859.PubMed Alsawy, S., Wood, L., Taylor, P. J., & Morrison, A. P. (2015). Psychotic experiences and PTSD: exploring associations in a population survey. Psychological Medicine, 45, 2849–2859.PubMed
go back to reference American Psychiatric Association (APA), 2013. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub. American Psychiatric Association (APA), 2013. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub.
go back to reference Barbato, M., Colijn, M. A., Keefe, R. S., Perkins, D. O., Woods, S. W., Hawkins, K. A., et al. (2013). The course of cognitive functioning over six months in individuals at clinical high risk for psychosis. Psychiatry Research, 206, 195–199.PubMed Barbato, M., Colijn, M. A., Keefe, R. S., Perkins, D. O., Woods, S. W., Hawkins, K. A., et al. (2013). The course of cognitive functioning over six months in individuals at clinical high risk for psychosis. Psychiatry Research, 206, 195–199.PubMed
go back to reference Bartak, A., Andrea, H., Spreeuwenberg, M. D., Thunnissen, M., Ziegler, U. M., Dekker, J., et al. (2011). Patients with cluster A personality disorders in psychotherapy: an effectiveness study. Psychotherapy and Psychosomatics, 80, 88–99.PubMed Bartak, A., Andrea, H., Spreeuwenberg, M. D., Thunnissen, M., Ziegler, U. M., Dekker, J., et al. (2011). Patients with cluster A personality disorders in psychotherapy: an effectiveness study. Psychotherapy and Psychosomatics, 80, 88–99.PubMed
go back to reference Bentall, R. P., Corcoran, R., Howard, R., Blackwood, N., & Kinderman, P. (2001). Persecutory delusions: a review and theoretical integration. Clin Psychol Rev, 21, 1143–1192.PubMed Bentall, R. P., Corcoran, R., Howard, R., Blackwood, N., & Kinderman, P. (2001). Persecutory delusions: a review and theoretical integration. Clin Psychol Rev, 21, 1143–1192.PubMed
go back to reference Berry, K., Bucci, S., Kinderman, P., Emsley, R., & Corcoran, R. (2015). An investigation of attributional style, theory of mind and executive functioning in acute paranoia and remission. Psychiatry Research, 226, 84–90.PubMed Berry, K., Bucci, S., Kinderman, P., Emsley, R., & Corcoran, R. (2015). An investigation of attributional style, theory of mind and executive functioning in acute paranoia and remission. Psychiatry Research, 226, 84–90.PubMed
go back to reference Bjørkly, S. (2002). SCL-90-R profiles in a sample of severely violent psychiatric inpatients. Aggressive Behavior, 28, 446–457. Bjørkly, S. (2002). SCL-90-R profiles in a sample of severely violent psychiatric inpatients. Aggressive Behavior, 28, 446–457.
go back to reference Bomyea, J., & Amir, N. (2011). The effect of an executive functioning training program on working memory capacity and intrusive thoughts. Cognitive Therapy and Research, 35, 529–535.PubMedPubMedCentral Bomyea, J., & Amir, N. (2011). The effect of an executive functioning training program on working memory capacity and intrusive thoughts. Cognitive Therapy and Research, 35, 529–535.PubMedPubMedCentral
go back to reference Brewer, W. J., Wood, S. J., Phillips, L. J., Francey, S. M., Pantelis, C., Yung, A. R., et al. (2006). Generalized and specific cognitive performance in clinical high-risk cohorts: a review highlighting potential vulnerability markers for psychosis. Schizophrenia Bull, 32, 538–555. Brewer, W. J., Wood, S. J., Phillips, L. J., Francey, S. M., Pantelis, C., Yung, A. R., et al. (2006). Generalized and specific cognitive performance in clinical high-risk cohorts: a review highlighting potential vulnerability markers for psychosis. Schizophrenia Bull, 32, 538–555.
go back to reference Bora, E., & Murray, R. M. (2013). Meta-analysis of cognitive deficits in ultra-high risk to psychosis and first-episode psychosis: do the cognitive deficits progress over, or after, the onset of psychosis. Schizophrenia Bull, 40, 744–755. Bora, E., & Murray, R. M. (2013). Meta-analysis of cognitive deficits in ultra-high risk to psychosis and first-episode psychosis: do the cognitive deficits progress over, or after, the onset of psychosis. Schizophrenia Bull, 40, 744–755.
go back to reference Bornstein, R. F. (2005). Psychodynamic theory and personality disorders. In Stephen Strack (Ed.), Handbook of personology and psychopathology (pp. 164–180). New York: Wiley. Bornstein, R. F. (2005). Psychodynamic theory and personality disorders. In Stephen Strack (Ed.), Handbook of personology and psychopathology (pp. 164–180). New York: Wiley.
go back to reference Chan, R. C., Li, X., Lai, M. K., Li, H., Wang, Y., Cui, J., et al. (2011). Exploratory study on the base-rate of paranoid ideation in a non-clinical Chinese sample. Psychiatry Research, 185, 254–260.PubMed Chan, R. C., Li, X., Lai, M. K., Li, H., Wang, Y., Cui, J., et al. (2011). Exploratory study on the base-rate of paranoid ideation in a non-clinical Chinese sample. Psychiatry Research, 185, 254–260.PubMed
go back to reference Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills. Neuropsychology Review, 13, 181–197.PubMed Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills. Neuropsychology Review, 13, 181–197.PubMed
go back to reference Chen, C. K., Lin, S. K., Sham, P. C., Ball, D., Loh, E. W., Hsiao, C. C., et al. (2003). Pre-morbid characteristics and co-morbidity of methamphetamine users with and without psychosis. Psychological Medicine, 33, 1407–1414.PubMed Chen, C. K., Lin, S. K., Sham, P. C., Ball, D., Loh, E. W., Hsiao, C. C., et al. (2003). Pre-morbid characteristics and co-morbidity of methamphetamine users with and without psychosis. Psychological Medicine, 33, 1407–1414.PubMed
go back to reference Cooper, D., Barker, V., Radua, J., Fusar-Poli, P., & Lawrie, S. M. (2014). Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia. Psychiatry Res Neuroimaging, 221, 69–77. Cooper, D., Barker, V., Radua, J., Fusar-Poli, P., & Lawrie, S. M. (2014). Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia. Psychiatry Res Neuroimaging, 221, 69–77.
go back to reference Corlett, P. R., Murray, G. K., Honey, G. D., Aitken, M. R., Shanks, D. R., Robbins, T. W., et al. (2007). Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. Brain, 130, 2387–2400.PubMed Corlett, P. R., Murray, G. K., Honey, G. D., Aitken, M. R., Shanks, D. R., Robbins, T. W., et al. (2007). Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. Brain, 130, 2387–2400.PubMed
go back to reference De Pascalis, V., Zawadzki, B., & Strelau, J. (2000). The formal characteristics of behaviour-temperament inventory (FCB-TI): preliminary results of the Italian version. Pers Indiv Differ, 28, 287–298. De Pascalis, V., Zawadzki, B., & Strelau, J. (2000). The formal characteristics of behaviour-temperament inventory (FCB-TI): preliminary results of the Italian version. Pers Indiv Differ, 28, 287–298.
go back to reference Derakshan, N., & Eysenck, M. W. (2009). Anxiety, processing efficiency, and cognitive performance: New developments from attentional control theory. European Psychologist, 14, 168–176. Derakshan, N., & Eysenck, M. W. (2009). Anxiety, processing efficiency, and cognitive performance: New developments from attentional control theory. European Psychologist, 14, 168–176.
go back to reference Derogatis, L. R. (1986). Manual for the symptom checklist 90 revised (SCL-90R). MD: Baltimore. Derogatis, L. R. (1986). Manual for the symptom checklist 90 revised (SCL-90R). MD: Baltimore.
go back to reference Dimaggio, G., Catania, D., Salvatore, G., Carcione, A., & Nicolò, G. (2006). Psychotherapy of paranoid personality disorder from the perspective of dialogical self theory. Couns Psychol Q, 19, 69–87. Dimaggio, G., Catania, D., Salvatore, G., Carcione, A., & Nicolò, G. (2006). Psychotherapy of paranoid personality disorder from the perspective of dialogical self theory. Couns Psychol Q, 19, 69–87.
go back to reference Dixon-Gordon, K. L., Turner, B. J., & Chapman, A. L. (2011). Psychotherapy for personality disorders. Int Rev Psychiatry, 23, 282–302.PubMed Dixon-Gordon, K. L., Turner, B. J., & Chapman, A. L. (2011). Psychotherapy for personality disorders. Int Rev Psychiatry, 23, 282–302.PubMed
go back to reference Dragan, M., & Dragan, W. (2014). Temperament and anxiety: the mediating role of metacognition. Journal of Psychopathological and Behavioral Assessment, 36, 246–254. Dragan, M., & Dragan, W. (2014). Temperament and anxiety: the mediating role of metacognition. Journal of Psychopathological and Behavioral Assessment, 36, 246–254.
go back to reference Freeman, D. (2007). Suspicious minds: the psychology of persecutory delusions. Clin Psychol Rev, 27, 425–457.PubMed Freeman, D. (2007). Suspicious minds: the psychology of persecutory delusions. Clin Psychol Rev, 27, 425–457.PubMed
go back to reference Freeman, D., & Freeman, J. (2008). Paranoia: the 21st century fear. Oxford: Oxford Univeresity Press. Freeman, D., & Freeman, J. (2008). Paranoia: the 21st century fear. Oxford: Oxford Univeresity Press.
go back to reference Freeman, D., & Garety, P. (2014). Advances in understanding and treating persecutory delusions: a review. Social Psychiatry and Psychiatric Epidemiology, 49, 1179–1189.PubMedPubMedCentral Freeman, D., & Garety, P. (2014). Advances in understanding and treating persecutory delusions: a review. Social Psychiatry and Psychiatric Epidemiology, 49, 1179–1189.PubMedPubMedCentral
go back to reference Freeman, D., Garety, P. A., Bebbington, P. E., Smith, B., Rollinson, R., Fowler, D., et al. (2005). Psychological investigation of the structure of paranoia in a non-clinical population. British Journal of Psychiatry, 186, 427–435. Freeman, D., Garety, P. A., Bebbington, P. E., Smith, B., Rollinson, R., Fowler, D., et al. (2005). Psychological investigation of the structure of paranoia in a non-clinical population. British Journal of Psychiatry, 186, 427–435.
go back to reference Freeman, D., Garety, P. A., Kuipers, E., Fowler, D., & Bebbington, P. E. (2002). A cognitive model of persecutory delusions. British Journal of Clinical Psychology, 41, 331–347. Freeman, D., Garety, P. A., Kuipers, E., Fowler, D., & Bebbington, P. E. (2002). A cognitive model of persecutory delusions. British Journal of Clinical Psychology, 41, 331–347.
go back to reference Freeman, D., McManus, S., Brugha, T., Meltzer, H., Jenkins, R., & Bebbington, P. (2011). Concomitants of paranoia in the general population. Psychological Medicine, 41, 923–936.PubMed Freeman, D., McManus, S., Brugha, T., Meltzer, H., Jenkins, R., & Bebbington, P. (2011). Concomitants of paranoia in the general population. Psychological Medicine, 41, 923–936.PubMed
go back to reference Freeman, D., Pugh, K., & Garety, P. (2008). Jumping to conclusions and paranoid ideation in the general population. Schizophrenia Research, 102, 254–260.PubMed Freeman, D., Pugh, K., & Garety, P. (2008). Jumping to conclusions and paranoid ideation in the general population. Schizophrenia Research, 102, 254–260.PubMed
go back to reference Fruehstorfer, D. B., Veronie, L., Cremeans-Smith, J. K., & Newberry, B. H. (2012). Predicting illness-related outcomes with FCB-TI trait pairs. J Individ Differ, 33, 248–256. Fruehstorfer, D. B., Veronie, L., Cremeans-Smith, J. K., & Newberry, B. H. (2012). Predicting illness-related outcomes with FCB-TI trait pairs. J Individ Differ, 33, 248–256.
go back to reference Goldman-Rakic, P. S., Castner, S. A., Svensson, T. H., Siever, L. J., & Williams, G. V. (2004). Targeting the dopamine D 1 receptor in schizophrenia: insights for cognitive dysfunction. Psychopharmacology (Berl), 174, 3–16. Goldman-Rakic, P. S., Castner, S. A., Svensson, T. H., Siever, L. J., & Williams, G. V. (2004). Targeting the dopamine D 1 receptor in schizophrenia: insights for cognitive dysfunction. Psychopharmacology (Berl), 174, 3–16.
go back to reference Holthausen, E. A., Wiersma, D., Sitskoorn, M. M., Hijman, R., Dingemans, P. M., Schene, A. H., et al. (2002). Schizophrenic patients without neuropsychological deficits: subgroup, disease severity or cognitive compensation. Psychiatry Research, 112, 1–11.PubMed Holthausen, E. A., Wiersma, D., Sitskoorn, M. M., Hijman, R., Dingemans, P. M., Schene, A. H., et al. (2002). Schizophrenic patients without neuropsychological deficits: subgroup, disease severity or cognitive compensation. Psychiatry Research, 112, 1–11.PubMed
go back to reference Jankowski, K. S., & Zajenkowski, M. (2012). Mood as a result of temperament profile: Predictions from the regulative theory of temperament. Pers Individ Dif, 52, 559–562. Jankowski, K. S., & Zajenkowski, M. (2012). Mood as a result of temperament profile: Predictions from the regulative theory of temperament. Pers Individ Dif, 52, 559–562.
go back to reference Karterud, S., Pedersen, G., Bjordal, E., Brabrand, J., Friis, S., Haaseth, Ø., et al. (2003). Day treatment of patients with personality disorders: experiences from a Norwegian treatment research network. Journal of Personality Disorders, 17, 243–262.PubMed Karterud, S., Pedersen, G., Bjordal, E., Brabrand, J., Friis, S., Haaseth, Ø., et al. (2003). Day treatment of patients with personality disorders: experiences from a Norwegian treatment research network. Journal of Personality Disorders, 17, 243–262.PubMed
go back to reference Keefe, R. S., Perkins, D. O., Gu, H., Zipursky, R. B., Christensen, B. K., & Lieberman, J. A. (2006). A longitudinal study of neurocognitive function in individuals at-risk for psychosis. Schizophrenia Research, 88, 26–35.PubMed Keefe, R. S., Perkins, D. O., Gu, H., Zipursky, R. B., Christensen, B. K., & Lieberman, J. A. (2006). A longitudinal study of neurocognitive function in individuals at-risk for psychosis. Schizophrenia Research, 88, 26–35.PubMed
go back to reference Kellett, S., & Hardy, G. (2014). Treatment of paranoid personality disorder with cognitive analytic therapy: A mixed methods single case experimental design. Clin Psychol Psychother, 21, 452–464.PubMed Kellett, S., & Hardy, G. (2014). Treatment of paranoid personality disorder with cognitive analytic therapy: A mixed methods single case experimental design. Clin Psychol Psychother, 21, 452–464.PubMed
go back to reference Koutsouleris, N., Davatzikos, C., Bottlender, R., Patschurek-Kliche, K., Scheuerecker, J., Decker, P., et al. (2011). Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophrenia Bull, 38, 1200–1215. Koutsouleris, N., Davatzikos, C., Bottlender, R., Patschurek-Kliche, K., Scheuerecker, J., Decker, P., et al. (2011). Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophrenia Bull, 38, 1200–1215.
go back to reference Lin, A., Wood, S. J., Nelson, B., Brewer, W. J., Spiliotacopoulos, D., Bruxner, A., et al. (2011). Neurocognitive predictors of functional outcome two to 13 years after identification as ultra-high risk for psychosis. Schizophrenia Research, 132, 1–7.PubMed Lin, A., Wood, S. J., Nelson, B., Brewer, W. J., Spiliotacopoulos, D., Bruxner, A., et al. (2011). Neurocognitive predictors of functional outcome two to 13 years after identification as ultra-high risk for psychosis. Schizophrenia Research, 132, 1–7.PubMed
go back to reference Løvstad M., Funderud I., Endestad T., Due-Tønnessen P., Meling T.R., Lindgren M., et al. (2012) Executive functions after orbital or lateral prefrontal lesions: neuropsychological profiles and self-reported executive functions in everyday living. Brain Injury 26: 1586–1598. Løvstad M., Funderud I., Endestad T., Due-Tønnessen P., Meling T.R., Lindgren M., et al. (2012) Executive functions after orbital or lateral prefrontal lesions: neuropsychological profiles and self-reported executive functions in everyday living. Brain Injury 26: 1586–1598.
go back to reference Lunt, L., Bramham, J., Morris, R. G., Bullock, P. R., Selway, R. P., Xenitidis, K., et al. (2012). Prefrontal cortex dysfunction and ‘jumping to conclusions’: bias or deficit. J Neuropsychol, 6, 65–78.PubMed Lunt, L., Bramham, J., Morris, R. G., Bullock, P. R., Selway, R. P., Xenitidis, K., et al. (2012). Prefrontal cortex dysfunction and ‘jumping to conclusions’: bias or deficit. J Neuropsychol, 6, 65–78.PubMed
go back to reference Lysaker, P. H., Roe, D., & Yanos, P. T. (2006). Toward understanding the insight paradox: internalized stigma moderates the association between insight and social functioning, hope, and self-esteem among people with schizophrenia spectrum disorders. Schizophrenia Bull, 33, 192–199. Lysaker, P. H., Roe, D., & Yanos, P. T. (2006). Toward understanding the insight paradox: internalized stigma moderates the association between insight and social functioning, hope, and self-esteem among people with schizophrenia spectrum disorders. Schizophrenia Bull, 33, 192–199.
go back to reference McGorry, P. D. (2010). Risk syndromes, clinical staging and DSM V: new diagnostic infrastructure for early intervention in psychiatry. Schizophrenia Research, 120, 49–53.PubMed McGorry, P. D. (2010). Risk syndromes, clinical staging and DSM V: new diagnostic infrastructure for early intervention in psychiatry. Schizophrenia Research, 120, 49–53.PubMed
go back to reference Meyer, E. C., Carrión, R. E., Cornblatt, B. A., Addington, J., Cadenhead, K. S., Cannon, T. D., et al. (2014). The relationship of neurocognition and negative symptoms to social and role functioning over time in individuals at clinical high risk in the first phase of the North American Prodrome Longitudinal Study. Schizophrenia Bull, 40, 1452–1461. Meyer, E. C., Carrión, R. E., Cornblatt, B. A., Addington, J., Cadenhead, K. S., Cannon, T. D., et al. (2014). The relationship of neurocognition and negative symptoms to social and role functioning over time in individuals at clinical high risk in the first phase of the North American Prodrome Longitudinal Study. Schizophrenia Bull, 40, 1452–1461.
go back to reference Mohr, P., Csemy, L., Rodriguez, M., Cermak, J., Kawaciukova, R., & Seifertova, D. (2008). Prevalence of psychotic symptoms in the general population of the Czech Republic. Eur Psychiatry, 23, 132–133. Mohr, P., Csemy, L., Rodriguez, M., Cermak, J., Kawaciukova, R., & Seifertova, D. (2008). Prevalence of psychotic symptoms in the general population of the Czech Republic. Eur Psychiatry, 23, 132–133.
go back to reference Morse, J. Q., & Lynch, T. R. (2004). A preliminary investigation of self-reported personality disorders in late life: prevalence, predictors of depressive severity, and clinical correlates. Aging Ment Health, 8, 307–315.PubMed Morse, J. Q., & Lynch, T. R. (2004). A preliminary investigation of self-reported personality disorders in late life: prevalence, predictors of depressive severity, and clinical correlates. Aging Ment Health, 8, 307–315.PubMed
go back to reference Niendam, T. A., Bearden, C. E., Zinberg, J., Johnson, J. K., O'Brien, M., & Cannon, T. D. (2007). The course of neurocognition and social functioning in individuals at ultra high risk for psychosis. Schizophrenia Bull, 33, 772–781. Niendam, T. A., Bearden, C. E., Zinberg, J., Johnson, J. K., O'Brien, M., & Cannon, T. D. (2007). The course of neurocognition and social functioning in individuals at ultra high risk for psychosis. Schizophrenia Bull, 33, 772–781.
go back to reference Olsen, L. R., Mortensen, E. L., & Bech, P. (2004). The SCL-90 and SCL-90R versions validated by item response models in a Danish community sample. Acta Psychiatrica Scand., 110, 225–229. Olsen, L. R., Mortensen, E. L., & Bech, P. (2004). The SCL-90 and SCL-90R versions validated by item response models in a Danish community sample. Acta Psychiatrica Scand., 110, 225–229.
go back to reference Pankow, A., Knobel, A., Voss, M., & Heinz, A. (2012). Neurobiological correlates of delusion: beyond the salience attribution hypothesis. Neuropsychobiology, 66, 33–43.PubMed Pankow, A., Knobel, A., Voss, M., & Heinz, A. (2012). Neurobiological correlates of delusion: beyond the salience attribution hypothesis. Neuropsychobiology, 66, 33–43.PubMed
go back to reference Peer, J. E., Rothmann, T. L., Penrod, R. D., Penn, D. L., & Spaulding, W. D. (2004). Social cognitive bias and neurocognitive deficit in paranoid symptoms: evidence for an interaction effect and changes during treatment. Schizophrenia Research, 71, 463–471.PubMed Peer, J. E., Rothmann, T. L., Penrod, R. D., Penn, D. L., & Spaulding, W. D. (2004). Social cognitive bias and neurocognitive deficit in paranoid symptoms: evidence for an interaction effect and changes during treatment. Schizophrenia Research, 71, 463–471.PubMed
go back to reference Pulkki-Råback, L., Elovainio, M., Hakulinen, C., Lipsanen, J., Hintsanen, M., Jokela, M., et al. (2015). Cumulative effect of psychosocial factors in youth on ideal cardiovascular health in adulthood: the cardiovascular risk in young finns study. Circulation, 131, 245–253.PubMed Pulkki-Råback, L., Elovainio, M., Hakulinen, C., Lipsanen, J., Hintsanen, M., Jokela, M., et al. (2015). Cumulative effect of psychosocial factors in youth on ideal cardiovascular health in adulthood: the cardiovascular risk in young finns study. Circulation, 131, 245–253.PubMed
go back to reference Raitakari, O. T., Juonala, M., Rönnemaa, T., Keltikangas-Järvinen, L., Räsänen, L., Pietikäinen, M., et al. (2008). Cohort profile: the cardiovascular risk in Young Finns Study. International Journal of Epidemiology, 37, 1220–1226.PubMed Raitakari, O. T., Juonala, M., Rönnemaa, T., Keltikangas-Järvinen, L., Räsänen, L., Pietikäinen, M., et al. (2008). Cohort profile: the cardiovascular risk in Young Finns Study. International Journal of Epidemiology, 37, 1220–1226.PubMed
go back to reference Rauchensteiner, S., Kawohl, W., Ozgurdal, S., Littmann, E., Gudlowski, Y., Witthaus, H., et al. (2011). Test-performance after cognitive training in persons at risk mental state of schizophrenia and patients with schizophrenia. Psychiatry Research, 185, 334–339.PubMed Rauchensteiner, S., Kawohl, W., Ozgurdal, S., Littmann, E., Gudlowski, Y., Witthaus, H., et al. (2011). Test-performance after cognitive training in persons at risk mental state of schizophrenia and patients with schizophrenia. Psychiatry Research, 185, 334–339.PubMed
go back to reference Rock, P. L., Roiser, J. P., Riedel, W. J., & Blackwell, A. D. (2014). Cognitive impairment in depression: a systematic review and meta-analysis. Psychological Medicine, 44, 2029–2040.PubMed Rock, P. L., Roiser, J. P., Riedel, W. J., & Blackwell, A. D. (2014). Cognitive impairment in depression: a systematic review and meta-analysis. Psychological Medicine, 44, 2029–2040.PubMed
go back to reference Rutten, B. P. F., van Os, J., Dominguez, M., & Krabbendam, L. (2008). Epidemiology and social factors: findings from The Netherlands mental health survey and incidence and incidence study (NEMESIS). In D. Freeman, R. Bentall, & P. Garety (Eds.), Persecutory delusions (pp. 53–71). Oxford: Oxford University Press. Rutten, B. P. F., van Os, J., Dominguez, M., & Krabbendam, L. (2008). Epidemiology and social factors: findings from The Netherlands mental health survey and incidence and incidence study (NEMESIS). In D. Freeman, R. Bentall, & P. Garety (Eds.), Persecutory delusions (pp. 53–71). Oxford: Oxford University Press.
go back to reference Saarinen, A., Hintsanen, M., Hakulinen, C., Pulkki-Råback, L., Lehtimäki, T., Raitakari, O., et al. (2018a). The co-occurrence between depressive symptoms and paranoid ideation: a population-based longitudinal study. Journal of Affective Disorders, 229, 48–55.PubMed Saarinen, A., Hintsanen, M., Hakulinen, C., Pulkki-Råback, L., Lehtimäki, T., Raitakari, O., et al. (2018a). The co-occurrence between depressive symptoms and paranoid ideation: a population-based longitudinal study. Journal of Affective Disorders, 229, 48–55.PubMed
go back to reference Saarinen, A., Rosenström, T., Hintsanen, M., Hakulinen, C., Pulkki-Råback, L., Lehtimäki, T., et al. (2018b). Longitudinal associations of temperament and character with paranoid ideation: a population-based study. Psychiatry Research, 261, 137–142.PubMed Saarinen, A., Rosenström, T., Hintsanen, M., Hakulinen, C., Pulkki-Råback, L., Lehtimäki, T., et al. (2018b). Longitudinal associations of temperament and character with paranoid ideation: a population-based study. Psychiatry Research, 261, 137–142.PubMed
go back to reference Schmitz, N., Hartkamp, N., Kiuse, J., Franke, G. H., Reister, G., & Tress, W. (2000). The symptom check-list-90-R (SCL-90-R): a German validation study. Quality of Life Research, 9, 185–193.PubMed Schmitz, N., Hartkamp, N., Kiuse, J., Franke, G. H., Reister, G., & Tress, W. (2000). The symptom check-list-90-R (SCL-90-R): a German validation study. Quality of Life Research, 9, 185–193.PubMed
go back to reference Schneider, W., & Klauer, T. (2001). Symptom level, treatment motivation, and the effects of inpatient psychotherapy. Psychotherapy Research, 11, 153–167. Schneider, W., & Klauer, T. (2001). Symptom level, treatment motivation, and the effects of inpatient psychotherapy. Psychotherapy Research, 11, 153–167.
go back to reference Schulze, K., Freeman, D., Green, C., & Kuipers, E. (2013). Intrusive mental imagery in patients with persecutory delusions. Behaviour Research and Therapy, 51, 7–14.PubMed Schulze, K., Freeman, D., Green, C., & Kuipers, E. (2013). Intrusive mental imagery in patients with persecutory delusions. Behaviour Research and Therapy, 51, 7–14.PubMed
go back to reference Scott, J., Leboyer, M., Hickie, I., Berk, M., Kapczinski, F., Frank, E., et al. (2013). Clinical staging in psychiatry: a cross-cutting model of diagnosis with heuristic and practical value. British Journal of Psychiatry, 20, 243–245. Scott, J., Leboyer, M., Hickie, I., Berk, M., Kapczinski, F., Frank, E., et al. (2013). Clinical staging in psychiatry: a cross-cutting model of diagnosis with heuristic and practical value. British Journal of Psychiatry, 20, 243–245.
go back to reference Seidman, L. J., Shapiro, D. I., Stone, W. S., Woodberry, K. A., Ronzio, A., Cornblatt, B. A., et al. (2016). Association of neurocognition with transition to psychosis: baseline functioning in the second phase of the North American prodrome longitudinal study. JAMA Psychiat, 73, 1239–1248. Seidman, L. J., Shapiro, D. I., Stone, W. S., Woodberry, K. A., Ronzio, A., Cornblatt, B. A., et al. (2016). Association of neurocognition with transition to psychosis: baseline functioning in the second phase of the North American prodrome longitudinal study. JAMA Psychiat, 73, 1239–1248.
go back to reference Starcevic, V., Bogojevic, G., & Marinkovic, J. (2000). The SCL-90-R as a screening instrument for severe personality disturbance among outpatients with mood and anxiety disorders. Journal of Personality Disorders, 14, 199–207.PubMed Starcevic, V., Bogojevic, G., & Marinkovic, J. (2000). The SCL-90-R as a screening instrument for severe personality disturbance among outpatients with mood and anxiety disorders. Journal of Personality Disorders, 14, 199–207.PubMed
go back to reference Staring, A. B. P., Van der Gaag, M., Van den Berge, M., Duivenvoorden, H. J., & Mulder, C. L. (2009). Stigma moderates the associations of insight with depressed mood, low self-esteem, and low quality of life in patients with schizophrenia spectrum disorders. Schizophrenia Research, 115, 363–369.PubMed Staring, A. B. P., Van der Gaag, M., Van den Berge, M., Duivenvoorden, H. J., & Mulder, C. L. (2009). Stigma moderates the associations of insight with depressed mood, low self-esteem, and low quality of life in patients with schizophrenia spectrum disorders. Schizophrenia Research, 115, 363–369.PubMed
go back to reference Strelau, J., & Zawadzki, B. (1993). The formal characteristics of behaviour-temperament inventory (FCB-TI): theoretical assumptions and scale construction. European Journal of Personality, 7, 313–336. Strelau, J., & Zawadzki, B. (1993). The formal characteristics of behaviour-temperament inventory (FCB-TI): theoretical assumptions and scale construction. European Journal of Personality, 7, 313–336.
go back to reference Strelau, J., & Zawadzki, B. (1995). The formal characteristics of behaviour—temperament inventory (FCB—TI): Validity studies. European Journal of Personality, 9, 207–229. Strelau, J., & Zawadzki, B. (1995). The formal characteristics of behaviour—temperament inventory (FCB—TI): Validity studies. European Journal of Personality, 9, 207–229.
go back to reference Strobach, T., Frensch, P., Müller, H., & Schubert, T. (2012). Age-and practice-related influences on dual-task costs and compensation mechanisms under optimal conditions of dual-task performance. Aging, Neuropsychol C, 19, 222–247. Strobach, T., Frensch, P., Müller, H., & Schubert, T. (2012). Age-and practice-related influences on dual-task costs and compensation mechanisms under optimal conditions of dual-task performance. Aging, Neuropsychol C, 19, 222–247.
go back to reference Świtaj, P., Wciórka, J., Smolarska-Świtaj, J., & Grygiel, P. (2009). Extent and predictors of stigma experienced by patients with schizophrenia. Eur Psychiatry, 24, 513–520.PubMed Świtaj, P., Wciórka, J., Smolarska-Świtaj, J., & Grygiel, P. (2009). Extent and predictors of stigma experienced by patients with schizophrenia. Eur Psychiatry, 24, 513–520.PubMed
go back to reference Twamley, E. W., Vella, L., Burton, C. Z., Heaton, R. K., & Jeste, D. V. (2012). Compensatory cognitive training for psychosis: effects in a randomized controlled trial. J Clin Psychiat, 73, 1212. Twamley, E. W., Vella, L., Burton, C. Z., Heaton, R. K., & Jeste, D. V. (2012). Compensatory cognitive training for psychosis: effects in a randomized controlled trial. J Clin Psychiat, 73, 1212.
go back to reference Valiente, C., Provencio, M., Espinosa, R., Chaves, C., & Fuentenebro, F. (2011). Predictors of subjective well-being in patients with paranoid symptoms: Is insight necessarily advantageous. Psychiatry Research, 189, 190–194.PubMed Valiente, C., Provencio, M., Espinosa, R., Chaves, C., & Fuentenebro, F. (2011). Predictors of subjective well-being in patients with paranoid symptoms: Is insight necessarily advantageous. Psychiatry Research, 189, 190–194.PubMed
go back to reference Valmaggia, L. R., Freeman, D., Green, C., Garety, P., Swapp, D., Antley, A., et al. (2007). Virtual reality and paranoid ideations in people with an ‘at-risk mental state’for psychosis. British Journal of Psychiatry, 191, s63–s68. Valmaggia, L. R., Freeman, D., Green, C., Garety, P., Swapp, D., Antley, A., et al. (2007). Virtual reality and paranoid ideations in people with an ‘at-risk mental state’for psychosis. British Journal of Psychiatry, 191, s63–s68.
go back to reference Van Os, J. (2003). Is there a continuum of psychotic experiences in the general population. Epidemiol Psych Sci, 12, 242–252. Van Os, J. (2003). Is there a continuum of psychotic experiences in the general population. Epidemiol Psych Sci, 12, 242–252.
go back to reference Windle, M., & Lerner, R. M. (1986). Reassessing the dimensions of temperamental individuality across the life span: The Revised Dimensions of Temperament Survey (DOTS-R). J Adolescent Res, 1, 213–229. Windle, M., & Lerner, R. M. (1986). Reassessing the dimensions of temperamental individuality across the life span: The Revised Dimensions of Temperament Survey (DOTS-R). J Adolescent Res, 1, 213–229.
go back to reference Windle, M., & Windle, R. C. (2006). Adolescent temperament and lifetime psychiatric and substance abuse disorders assessed in young adulthood. Pers Individ Dif, 41, 15–25. Windle, M., & Windle, R. C. (2006). Adolescent temperament and lifetime psychiatric and substance abuse disorders assessed in young adulthood. Pers Individ Dif, 41, 15–25.
go back to reference Wright, A., Jorm, A. F., & Mackinnon, A. J. (2012). Labels used by young people to describe mental disorders: which ones predict effective help-seeking choices. Social Psychiatry and Psychiatric Epidemiology, 47, 917–926.PubMed Wright, A., Jorm, A. F., & Mackinnon, A. J. (2012). Labels used by young people to describe mental disorders: which ones predict effective help-seeking choices. Social Psychiatry and Psychiatric Epidemiology, 47, 917–926.PubMed
Metagegevens
Titel
Self-Reported Cognitive Functions Predict the Trajectory of Paranoid Ideation Over a 15-Year Prospective Follow-Up
Auteurs
Aino I. L. Saarinen
Niklas Granö
Terho Lehtimäki
Publicatiedatum
01-10-2020
Uitgeverij
Springer US
Gepubliceerd in
Cognitive Therapy and Research / Uitgave 2/2021
Print ISSN: 0147-5916
Elektronisch ISSN: 1573-2819
DOI
https://doi.org/10.1007/s10608-020-10142-z

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