Associations Of Personality Traits With The Capacity-Performance Discrepancy Of Functional Outcome In Patients With Schizophrenia.

OBJECTIVE: Functional capacity, which indicates one's ability to perform everyday living tasks, contributes to real-world functional performance in patients with schizophrenia. However, functional capacity is sometimes not comparable with functional performance in clinical settings. We hypothesized that specific personality traits are related to this capacity-performance discrepancy of functional outcome.
METHODS: The measures in this study were the UCSD Performance-based Skills Assessment Brief (UPSA-B) for functional capacity, the Social Functioning Scale (SFS) for functional performance, and the Temperament and Character Inventory-140 (TCI-140) for personality traits. A total of 94 stable outpatients with schizophrenia were divided into four groups based on combinations of their UPSA-B and SFS cut-off points, as follows: a high capacity and high performance (HH) group, a high capacity but low performance (HL) group, a low capacity but high performance (LH) group, and a low capacity and low performance (LL) group.
RESULTS: There were no significant differences in demographics among the four groups. The LH group showed a significantly lower harm avoidance level than the LL group. The HL group showed a significantly lower persistence level than the HH group.
CONCLUSION: Lower harm avoidance may enhance functional performance, and lower persistence can limit functional performance, regardless of the primary levels of functional capacity in patients with schizophrenia. Novel and individualized psychosocial treatments considering the individual's personality traits seem to be helpful for maximizing their functional performance in the community.

Introduction

Clinical recovery among patients with schizophrenia requires not only the long-term reduction or, ideally, the removal of psychopathological symptoms, but also an improvement in real-world functional performance in daily living.1,2 Functional performance is defined as functioning to fulfill one’s role in the interactions of an individual with one’s environment.3 This environment includes varied situations such as work, school, family life, friends, and independent living. Among patients with schizophrenia, the decline in functional performance is severe, and the proportion of patients who achieve a clinical recovery is quite low.4 In fact, many patients with schizophrenia struggle to work and live by themselves, leading to an extremely high level of disability among those suffering from schizophrenia even when compared with the level of disability experienced by individuals suffering from physical diseases.5,6 Therefore, investigating the functional performance of patients with schizophrenia so as to achieve their clinical recovery is an urgent problem. Potential predictors of functional performance have been investigated, and the control of psychotic symptoms alone has been reportedly insufficient for its improvement. Cognitive function can predict subsequent functional performance with an effect size that is greater than the medium range.7–9 However, the effects of enhancements in cognitive function on functional performance in community can be substantially diminished by several intervening variables, including personal and social factors.10,11 Considering this fact, functional capacity has been attracting attention as a co-primary measure that may act as a mediator between cognitive function and functional performance.12

Functional capacity refers to an individual’s capacity to perform key tasks of daily living. To assess functional capacity, participants simulate real-world activities, such as holding social conversations, preparing meals, or taking public transportation, through the use of props and role-playing in the clinic or laboratory.13 A good functional capacity does not mean that a person does perform daily living tasks well in the community, but it means that the person was able to perform the tasks when given the opportunity.12 Numerous studies have shown that a reduced functional capacity relates to insufficient functional performance.14–16 A recent study using network analysis has also confirmed that functional capacity provides a connection between cognitive function and functional performance, and the study’s findings support the fact that improving functional capacity is critical for therapeutic interventions in patients with schizophrenia.17

However, functional capacity is not occasionally compatible with functional performance, especially in clinical settings. As mentioned above, functional capacity indicates one’s “capacity” (what one can do), not one’s “performance” (what one actually does). Only a few studies have focused on “capacity-performance discrepancy,” and investigated factors related to a lower functional performance than expected by a high functional capacity (ie, a high capacity but a low performance). Gupta et al18 reported that more time spent in a hospital, restricted living situations such as a group home, and severe depressive symptoms were predictors of the capacity-performance discrepancy. Other studies19,20 focusing on intrapersonal factors suggested that self-efficacy or meta-cognition could mediate the size of the discrepancy between capacity and performance. These factors can be considered as “limiters,” since they inhibit the translation of a high functional capacity into appropriate functional performance. These “limiters” can generate a high capacity–low performance discrepancy. On the other hand, clinical experience suggests the existence of “enhancers,” which can improve or maintain high functional performance beyond a low functional capacity. These “enhancers” can generate a low capacity–high performance discrepancy. In clinical settings, some patients with schizophrenia exhibit a higher functional performance than predicted by their low functional capacity. They adapt to their community life smoothly beyond their capacity, and clinicians often wonder at their ability to do so. In our previous study,21 we revealed and supported this fact. Namely, a certain proportion of patients with schizophrenia in the community showed a low capacity–high performance discrepancy. Furthermore, we suggested that reduced tendency of social anxiety could enhance their performance despite low capacity. In social anxiety disorder, symptoms have been proposed to be related to personality traits.22,23 Some temperament factors could also contribute to social anxiety.24 In patients with schizophrenia, high prevalence of social anxiety and associations of social anxiety with personality traits have been reported.25,26

Personality traits affect human behavior and determine adjustments to environment in real-world settings.27 The personality traits of patients with schizophrenia have been remarked upon, and abnormalities in these traits, compared with those of healthy controls, have been identified in meta-analyses.28,29 The psychobiological model, which is a major theory of personality traits proposed by Cloninger et al,30 has been widely used in studies on schizophrenia. Recently, personality traits have come to be considered as one of the most important factors in the pathogenesis of schizophrenia because they influence both cognitive function and psychopathology.31–34 Furthermore, evidence that specific personality traits are correlated with a variety of social and clinical variables, such as coping style, vocational functioning, quality of life, and interpersonal relations, has been accumulated.35–38 However, the role of personality traits toward functional performance in community is still obscure.

We hypothesized that specific personality traits can be “limiters” or “enhancers” that influence the capacity–performance discrepancy (ie, generate a high capacity–low performance discrepancy or a low capacity–high performance discrepancy). This hypothesis was based on the previous studies and clinical experiences that the intrapersonal factors could generate the capacity-performance discrepancy regardless of the environmental factors and that each individual with different personality traits perform differently in real-world even when they are in the same environment.19,20,27 In the current study, we examined the characteristics of a group of patients with schizophrenia who exhibit low functional performance despite a high functional capacity and a group of patients with schizophrenia who exhibit high functional performance despite a low functional capacity. Based on our previous findings,21 we recruited different participants who had longer duration of illness than the previous study, because decline of functional performance in patients with chronic schizophrenia is an urgent problem in clinical settings.6,39 Furthermore, the present study adopted a performance-based measure to accurately assess functional capacity,15 although we had used a self-report measure by patients in our previous study.21 Most importantly, we investigated the associations of personality traits with the capacity–performance discrepancy of functional outcome in patients with schizophrenia which have not been examined yet.

Methods

Participants

Ninety-four stable outpatients with schizophrenia were recruited at the Toho University Omori Medical Center and Tokyo Adachi Hospital, Tokyo, Japan. Each diagnosis was confirmed according to the Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-5) by more than two well-experienced psychiatrists. The participants were receiving outpatient treatment continuously and did not have a history of psychiatric hospitalization within three months of their assessments. The inclusion criteria were patients who were living in the community and were between 16 and 60 years of age. To lessen the effects of environmental factors on functional performance18 and to focus on individual-related factors, patients who were in supervised living situations, such as board and care facilities, were excluded. Other exclusion criteria were patients with alcohol or substance abuse and those with mental retardation or severe physical illnesses.

All the participants provided written informed consent prior to their inclusion in the study. If the participant was under 20 years old, written informed consent was also obtained from the participant’s parent. The Institutional Review Board of the Toho University School of Medicine approved the protocol for the study (A17007). This study was performed in accordance with the latest version of the Declaration of Helsinki.

Measures

Functional performance was evaluated using the Social Functioning Scale (SFS),40,41 which is a comprehensive assessment of seven areas of functioning that are crucial for people with schizophrenia to be able to live in the community. The SFS can be used as a self-reported or informant interview. In the current study, we used it as a self-reported questionnaire and assessed the total score on the SFS. Functional capacity was evaluated using the UCSD Performance-based Skills Assessment Brief (UPSA-B)42,43 which involves role-playing tasks related to two subscales: finance and communication. Psychopathology was evaluated using the Positive and Negative Syndrome Scale (PANSS)44,45 and neurocognition was evaluated using the Brief Assessment of Cognition in Schizophrenia (BACS).46,47

Personality traits were evaluated using the Temperament and Character Inventory 140 (TCI-140)30,48,49 which is a 140-question self-reported instrument. The TCI-140 assesses personality traits in seven dimensions, four for temperament and three for character. The temperament dimensions are 1) novelty seeking, 2) harm avoidance, 3) reward dependence, and 4) persistence. The character dimensions are 5) self-directedness, 6) cooperativeness, and 7) self-transcendence.

Capacity-Performance Discrepancy Of Functional Outcome

Because standard cut-off points in the SFS and UPSA-B have not been established,50 we adopted the median scores of the total participants as cut-off points to determine if the participants ranked high or low in capacity/performance, respectively. Using these parameters, we divided the participants into four groups: a high capacity and high performance (HH) group, a high capacity but low performance (HL) group, a low capacity but high performance (LH) group, and a low capacity and low performance (LL) group (Figure 1).

Figure 1

Classification of patients into four groups according to their levels of functional capacity and functional performance: a high capacity and high performance (HH) group, a high capacity but low performance (HL) group, a low capacity but high performance (LH) group, and a low capacity and low performance (LL) group.

Statistics

We performed a one-way analysis of variance (ANOVA) and chi-squared test to compare differences in demographics and clinical variables among the four groups. If these tests revealed significant differences among these groups, we performed a post hoc analysis using the Bonferroni correction. To investigate the characteristics of participants with capacity-performance discrepancy, we focused on the differences between the HH and HL groups (ie, the high capacity–low performance discrepancy) and those between the LH and LL groups (ie, the low capacity–high performance discrepancy). Statistical differences were determined using two-tailed tests and a significance level of p <0.05.

Results

Demographics And Capacity-Performance Discrepancy Of Participants

Of the 94 patients who were recruited, 53 were male (56.4%) and 41 were female (43.6%). The mean age of the participants was 41.1 (SD=10.2) years, and the mean age of onset was 26.0 (SD=7.8) years. The mean duration of illness was 15.1 (SD=10.4) years. The mean length of education was 13.5 (SD=2.1) years. The average number of hospitalizations was 1.6 (SD=1.8) times. The mean dose of antipsychotics was 475.3 (SD=387.7) mg/day, chlorpromazine equivalent. The median scores of UPSA-B and SFS were 73 and 113, respectively.

Of the 94 participants in total, 26 participants landed above or equal to the median scores of the UPSA-B and SFS (ie, high capacity and high performance: HH group), 27 participants landed above or equal to the median score of the UPSA-B and below the median score of the SFS (ie, high capacity but low performance: HL group), 22 participants landed below the median score of the UPSA-B and above or equal to the median score of the SFS (ie, low capacity but high performance: LH group), and 19 participants landed below the median scores of the UPSA-B and SFS (ie, low capacity and low performance: LL group). Comparisons among the 4 groups are presented in Table 1. There were no significant differences in demographics among the 4 groups.

Table 1

Differences In Background And Clinical Variables Among The Four Groups

		HH		HL		LH		LL				Post-hoc
		N=26		N=27		N=22		N=19				HH vs HL	LH vs LL
Category	Measure, Sub Category	Mean	SD	Mean	SD	Mean	SD	Mean	SD	X2/F	p	p	p
Gender	(male/female)	12/14		14/13		6/16		9/10		3.311	0.346
Age	(years)	41.0	10.9	41.7	10.9	40.3	11.3	41.1	7.4	0.073	0.974
Education	(years)	14.1	2.1	13.1	2.1	12.9	1.8	13.8	2.1	1.785	0.156
Age of onset	(years)	26.7	8.2	26.7	8.6	26.5	7.4	23.3	6.1	0.959	0.416
Duration of illness	(years)	15.5	9.6	15.6	11.9	13.7	10.2	15.6	9.9	0.168	0.918
History of hospitalizations	(number)	1.4	1.1	1.4	1.9	2.2	2.3	1.6	2.0	0.892	0.449
Dose of antipsychotics	(mg/day, CPZE)	376.3	302.0	471.8	349.5	533.7	455.1	548.4	455.9	0.956	0.417
Functional performance	SFS	136.8	18.4	91.6	10.7	134.1	13.2	87.4	15.7	75.638	0.000	0.000	0.000
Functional capacity	UPSA-B	82.3	5.1	81.2	6.9	62.0	8.9	60.8	7.6	62.331	0.000	1.000	1.000
Personality traits	TCI, Harm avoidance	60.0	10.2	65.0	8.6	57.1	10.0	68.2	8.7	5.925	0.001	0.342	0.002
	TCI, Novelty seeking	50.5	9.1	54.7	10.3	53.7	8.9	56.4	7.1	1.706	0.171
	TCI, Reward dependence	58.3	8.2	57.9	10.2	59.4	8.0	54.6	7.6	1.153	0.332
	TCI, Persistence	61.4	10.7	52.9	11.0	58.6	12.8	53.5	11.2	3.184	0.028	0.046	0.976
	TCI, Self-directedness	50.9	10.3	55.4	14.6	55.2	12.6	56.8	13.1	0.976	0.408
	TCI, Cooperativeness	61.5	10.1	59.2	10.4	62.1	7.7	58.2	9.5	0.819	0.487
	TCI, Self-transcendence	37.4	9.0	37.7	10.4	41.9	14.5	40.9	12.1	0.885	0.452
Neurocognition	BACS	−2.3	2.3	−3.3	1.8	−4.1	2.0	−5.7	2.2	10.079	0.000	0.534	0.115
Psychopathology	PANSS, Total	75.7	10.1	85.9	10.9	79.6	9.4	93.0	12.7	10.814	0.000	0.005	0.001
	PANSS, P	16.6	3.0	18.7	3.7	17.4	3.4	20.7	3.9	5.832	0.001	0.170	0.015
	PANSS, N	18.9	3.4	21.4	3.3	19.4	3.2	24.5	3.4	12.195	0.000	0.044	0.000
	PANSS, G	40.2	5.3	45.7	6.0	42.8	4.7	47.7	7.2	7.329	0.000	0.005	0.050

Abbreviations: HH, high capacity and performance group; HL, high capacity but low performance group; LH, low capacity but high performance group; LL, low capacity and performance group; CPZE, chlorpromazine equivalent; SFS, Social Functioning Scale; UPSA-B, UCSD performance-based skills assessment brief; TCI, Temperament and Character Inventory; BACS, brief assessment of cognition in schizophrenia; PANSS, Positive and Negative Syndrome Scale; P, positive subscale; N, negative subscale; G, general psychopathology subscale.

Differences In Personality Traits

Several significant differences in personality traits were observed. The LH group had a significantly lower Harm Avoidance (HA) score than the LL group (mean HA scores: 60.0 vs 65.0), but no significant difference was seen between the HH and HL groups. The HL group had a significantly lower Persistence (PS) score than the HH group (mean PS scores: 52.9 vs 61.4), but no significant difference was seen between the LH and LL groups.

Differences In Other Clinical Variables

Regarding other clinical variables, the HH and LH groups had lower PANSS negative and general psychopathology scores than the HL and LL groups, respectively (mean PANSS negative scores between the HH and HL groups: 18.9 vs 21.4, those between the LH and LL groups: 19.4 vs 24.5; mean PANSS general psychopathology scores between the HH and HL groups: 40.2 vs 45.7, those between the LH and LL groups: 42.8 vs 47.7). The LH group had a lower PANSS positive score than the LL group (mean PANSS positive scores between the LH and LL groups: 17.4 vs 20.7). Significant differences in BACS were observed among the four groups. In a post hoc analysis, no differences were observed between the HH and HL groups or between the LH and LL groups, but significant differences were observed between the HL and LL groups or between the HH and LH groups (mean BACS score between HL and LL groups: −3.3 vs −5.7, those between the HH and LH groups: −2.3 vs −4.1).

Discussion

Capacity–Performance Discrepancy Of Functional Outcome In Real-World Settings

The current results revealed the presence of different characteristics in patients with high functional performance despite a low functional capacity and also in patients with low functional performance despite a high functional capacity. These findings support our previous study21 and the fact that clinicians sometimes encounter patients whose actual performance is not compatible with their capacity in a clinical setting and that the long-term clinical course for patients with schizophrenia can vary widely. Furthermore, the current results suggested several potential “limiters” and “enhancers” that might be related to these discrepancies. To the best of our knowledge, the associations of the capacity-performance discrepancy with personality traits as potential “limiters” or “enhancers” of functional performance that act regardless of the primary levels of functional capacity have not been previously studied.

Personality Traits Related To Capacity–Performance Discrepancy

Regarding the seven dimensions of personality traits, the LH group had a lower HA score than the LL group, but no difference was seen between the HH and HL groups. HA is viewed as an inheritable bias in the inhibition or cessation of behavior, such as pessimistic worrying in anticipation of future problems, passive avoidant behavior such as fear of uncertainty and shyness of strangers, and rapid fatigability.30 Given previous work in healthy subjects,51 avoidant behavior can be associated with stress vulnerability, adjustment, and personal functioning. Jetha et al35 reported that shyness, which is a conceptually linked dimensional sub-scale of the HA, is predictive of social functioning in patients with schizophrenia. They also reported that shyness is independent from the psychopathology of schizophrenia. The present result suggests that a more unworried and extroverted temperament, as reflected by a lower HA score, may facilitate the behavior and role of patients in the community beyond their low capacity. Namely, it may contribute to an improvement or the maintenance of functional performance even though the patients have an insufficient functional capacity, which usually is a strong predictor for low functional performance. In our previous study, a tendency of low social anxiety was associated with high performance despite low capacity in social functioning in schizophrenia.21 In light of the current results, a lower HA score could be considered as an “enhancer” capable of generating a low capacity–high performance discrepancy.

The HL group had a lower PS level than the HH group, but no difference was seen between the LL and LH groups. PS reflects an inheritable bias in the maintenance of behavior despite frustration, fatigue, and intermittent reinforcement.30 People with a low PS seem to be hesitant, easy discouraged, lazy, and underachieving. According to a previous long-term birth cohort study in people with psychosis,52 PS could predict both social and occupational outcomes. Furthermore, a high PS personality style, which is characterized by ambition, resistance to frustration, and a performance-orientated nature, was important for good overall functioning. In light of the current results, the temperament of individuals with lower PS scores, who tend to give up easily, may interfere with successful behavior in the community, even though such individuals may have a high capacity for performance. Namely, a low PS may inhibit the translation of a high functional capacity into appropriate functional performance. Therefore, a lower PS score could be considered as a “limiter” capable of generating a high capacity–low performance discrepancy.

Other Clinical Variables In The Current Study

With regard to cognitive function, no differences were observed between the HH and HL groups or between the LH and LL groups, but significant differences were observed between the HL and LL groups or between the HH and LH groups. These data indicated that the level of cognitive function could be related more strongly with functional capacity than functional performance. This fact supports previous studies which show that functional capacity could be a mediator between cognitive function and functional performance.12 The current results also revealed that the HH and LH groups had a milder psychopathology than the HL and LL groups. A previous study53 suggested that a milder psychopathology may be related to a higher functional performance. In particular, negative symptoms have been reported to be strong predictors of functional performance.54,55 In our previous study, negative symptoms were a characteristic of patients with low performance despite high capacity.21 The presently reported results were roughly consistent with those of previous studies.

Limitations

The current study had several limitations. The SFS was assessed as a self-reported measure by the patients in the current study. Although the reliability of self-reported measures for patients with schizophrenia is generally a concern, a previous study revealed that the agreement between SFS scores scored by patients and informants was “almost perfect” (the intraclass correlation coefficient was 0.87).41 Furthermore, the VALERO Study,56 which aimed to select the optimal measures of functional performance, also suggested that the SFS is one of the most effective measures of functional performance. Another limitation of the current study is the fact that this was a cross-sectional study. However, personality traits are relatively stable throughout the course of schizophrenia even from the putative prodromal stage, such as the at-risk mental state for psychosis (ARMS),57,58,59 and people with a high genetic risk of schizophrenia are also found to possess abnormal personality traits similar to those of patients with schizophrenia.60,61 Recently, personality traits, especially HA, have been suggested to be potential endophenotypes of schizophrenia.57,60,62 Furthermore, the evidence for personality measures as endophenotypes is at least equivalent to that for cognitive measures.63 Although we cannot explain the causality and intervening effects between personality traits and functional performance, in line with the theory of personality traits as endophenotypes, personality traits may be predictive of functional performance as a phenotype. Confounding factors are also one of the limitations. Many contributors to functional capacity and performance, such as demographics, psychopathology, cognitive function, and personality traits, have been investigated and could be confounding each other.16,17,26,35,37 Although we could not reveal the confounding, this study showed the potential effect of personality traits on functional discrepancy. In this study, we divided the participants into 4 groups by the median scores of UPSA and SFS considering the statistical power because we focused on both the HL group and the LH group, although it could be a drawback from the viewpoint of statistical analyses.

Future Perspectives And Conclusion

This study suggested the roles of personality traits as potential “limiters” and “enhancers” in relation to the capacity-performance discrepancy. In the future, we need to conduct longitudinal studies that will also include the putative prodromal stage such as an ARMS and that will consider the causality and confounding. In the current study, we concluded that a lower HA could be viewed as an “enhancer” capable of improving functional performance despite a low functional capacity, while a lower PS appeared to act as a “limiter” reducing functional performance despite a high functional capacity. Conventional psychosocial rehabilitations and cognitive training have targeted improvements in functional performance, but their effects are sometimes limited.64 Therefore, we should investigate the mechanisms of functional performance and functional capacity in the community. Novel and individualized psychosocial treatments considering the concepts of “enhancers” and “limiters”, such as personality traits, might be helpful for maximizing their functional performance, which has thus far been recognized as a difficult task. We believe that the current findings will meaningfully contribute to the development of clinical recovery methods for patients with schizophrenia.