Abstract
Social cognitive difficulties among those with schizophrenia and first episode psychosis (FEP) are well-documented, but less research has investigated the social cognitive construct of empathy. Empathy has been linked in schizophrenia samples to symptoms and functioning, but minimal work has examined empathy among those with FEP. This study examined associations between empathy, symptoms, and functioning in FEP participants, as well as whether empathy accounts for unique variance in these constructs over and above other social cognitive measures. Participants were 100 people with FEP who were taking part in a larger randomized controlled trial. Two empathy measures, the Interpersonal Reactivity Index (IRI) and Questionnaire of Cognitive and Affective Empathy (QCAE), were administered at baseline, along with measures of symptoms, functioning, and other social cognitive constructs. Results revealed that greater empathy, measured by the IRI, was linked to less severe negative symptoms across multiple domains, while fewer associations were evident for positive symptoms and functioning. Across tested domains, empathy significantly predicted clinical outcomes over and above other social cognitive constructs. However, both empathy measures displayed low internal consistency. Taken together, results suggest that empathy may be important to consider in FEP populations, particularly as it relates to negative symptoms, and empathy predicts unique variance in multiple clinical characteristics. Future work should focus on improving empathy measurement approaches and examining empathy in tandem with broader social cognitive batteries among FEP samples.
Keywords: social cognition, early psychosis, first-episode schizophrenia, negative symptoms, psychosocial functioning
1. Introduction
Social cognition is an important predictor of functional outcomes for those with schizophrenia, accounting for more variance in social functioning than neurocognition (Fett et al., 2011). Social cognition has been investigated among those with first-episode psychosis (FEP) and is similarly linked to social functioning (Addington et al., 2006; Bonfils, Ventura, et al., 2019; Stouten et al., 2017), though one domain of social cognition remains underexplored - empathy. Empathy is a broad construct referring to our abilities to both know how others feel (cognitive empathy) and to experience emotions with others (affective empathy; Decety & Jackson, 2006). Empathy is impaired among those with schizophrenia (Bonfils et al., 2016, 2017; Derntl et al., 2009) and linked to clinical and functional outcomes (Bonfils, Lysaker, et al., 2019; Horan et al., 2015; Michaels et al., 2014; Pijnenborg et al., 2013). Work is needed to understand whether empathy is linked to these important illness characteristics among those with FEP.
Though clinically relevant, the construct of empathy is under-represented in the field of major psychopathology. Indeed, social cognition is a major focus of research among those with schizophrenia, but seminal papers have not included empathy as a construct of interest (e.g., Green et al., 2008; Pinkham et al., 2018), focusing instead on emotion processing, theory of mind, social perception, and social knowledge. Theory of mind shares features with cognitive empathy, as include the ability to understand others’ emotions, but other aspects are distinctive (Dvash & Shamay-Tsoory, 2014). While empathy holds historical significance, noted in early works by Kraepelin (1919) and Bleuler (Bleuler & Zenkin, 1911) as an area of impairment linked to social difficulties in schizophrenia, today’s scholars have struggled to define and measure empathy in a manner comparable to other social cognitive constructs. Indeed, in schizophrenia research, the predominant approach to measuring social cognition is performance-based. This is preferred, given the known discrepancy between how people with schizophrenia report on their abilities and their actual performance (Bonfils et al., 2016; Sabbag et al., 2012). However, though performance-based measures exist (e.g., Derntl et al., 2009; Lee et al., 2011), empathy is most often measured via self-report. Self-reported empathy questionnaires measure something meaningful, given consistent correlations with important outcome variables (Horan et al., 2015; Michaels et al., 2014; Pijnenborg et al., 2013), and may be the most appropriate method for measuring empathy as a construct. Unlike performance-based measures, self-report questionnaires can ask about tendencies to engage in certain acts, which may better reflect how one uses empathy in daily life (Davis, 1983). Performance-based measures also require differentially valued answers (e.g., right or wrong, graded responses), which is not a requirement for self-report instruments. This may be key for measurement of empathy, particularly affective empathy, as accuracy or ability may be less relevant when compared to one’s tendencies to share emotions, a phenomenon hard to replicate in the lab (Zaki & Ochsner, 2012).
While empathy has been examined more extensively in participants with or at-risk for schizophrenia (Bonfils et al., 2017; Kuis et al., 2021; Montag et al., 2020), few published studies have examined FEP-specific samples. Achim and colleagues (Achim et al., 2011; n=31) found that self-reported cognitive and affective empathy did not differ between FEP and healthy control participants (n=31), and that cognitive empathy was linked to social anxiety (Achim et al., 2011). Pepper and colleagues (2019) found that those with early psychosis (n=51) had worse cognitive empathy than neurotypical controls (n=26). Canty and colleagues (2021) found that cognitive empathy predicted significant variance in community functioning for both early (n=26) and chronic schizophrenia (n=32) samples, even when accounting for theory of mind. While preliminary work points to the importance of empathy for those with FEP, no study to date has comprehensively examined the intersection of self-reported empathy and both clinical and functional variables.
Research is particularly lacking in FEP samples using the Interpersonal Reactivity Index (IRI; Davis, 1983), the most commonly used self-report measure of empathy in schizophrenia samples (Bonfils et al., 2017), and the Questionnaire of Cognitive and Affective Empathy (QCAE; (Michaels et al., 2014; Reniers et al., 2011), a more recently developed measure. The IRI was built from a multidimensional model of empathy emphasizing both cognitive and affective aspects of one’s reactions to others in the social environment (Davis, 1983). The IRI includes four subscales, measuring perspective-taking, or the cognitive tendency to take the perspective of another person, fantasy, or the tendency to understand and relate to fictitious characters, empathic concern, or the affective tendency to feel other-oriented emotions during social interactions, and personal distress, or the affective tendency to feel self-oriented emotions during tense or uncomfortable social interactions (Davis, 1980, 1983). The QCAE was developed, in part, to improve upon the IRI and other empathy measures (Reniers et al., 2011). Like the IRI, the QCAE ascribes to a multidimensional model of empathy, including cognitive and affective components, but emphasizes a distinction from behavioral and sympathetic responses, which arise from empathy but do not represent internal empathic experiences (Reniers et al., 2011). The QCAE was developed by combining face-valid items from existing empathy measures (Michaels et al., 2014; Reniers et al., 2011); statistically-derived subscales include perspective-taking (tendency to take others’ perspectives), online simulation (tendency to attempt to mentally represent others’ emotions), emotion contagion (tendency to match self-oriented emotions of close others), proximal responsivity (emotional responsiveness to others’ moods), and peripheral responsivity (emotional responsiveness to distant others, such as fictitious characters) (Michaels et al., 2014; Reniers et al., 2011).
Comparison of the IRI and QCAE along with their correlates among those with FEP would represent a substantial increase in our knowledge about this important social cognitive domain in a vulnerable group. Accordingly, our aims were to 1) examine characteristics of two self-reported empathy measures, their inter-correlations, and their relationships with other social cognitive measures; 2) correlate empathy with symptomatic and functional variables; and 3) examine the incremental contribution of empathy to the prediction of clinical variables over and above other social cognitive constructs. We expected the empathy scores for the two scales to be inter-correlated and, based on prior research in schizophrenia samples (Bonfils, Lysaker, et al., 2019; Horan et al., 2015; Michaels et al., 2014), associated with negative symptoms and social functioning. Lastly, given some evidence to suggest affective empathy may be relatively intact in those with FEP (Achim et al., 2011; Atoui et al., 2018; Bonfils et al., 2016) and prior work primarily linking cognitive empathy to clinical and functional variables (Canty et al., 2021; Horan et al., 2015), we anticipated that cognitive facets of empathy would account for additional variance in clinical outcomes over and above other social cognitive constructs, whereas affective empathy would not.
2. Method
2.1. Participants
Participants for this investigation participated in a larger randomized controlled trial at the UCLA Aftercare Research Program, where they received psychiatric care and engaged in a study examining the impact of adding aerobic exercise to cognitive training (Nuechterlein et al., Under Review; 5R01MH110544, NCT02823041). Data from baseline assessments are used here; 88 and 100 participants provided complete data for the IRI and QCAE, respectively. Eligibility criteria included: 1) psychosis symptoms began <2 years prior to enrollment; 2) DSM-5 diagnosis of schizophrenia, schizoaffective disorder depressive type, or schizophreniform disorder; 3) 18–45 years-old; 4) premorbid IQ≥70; 5) English fluency; and 6) within reasonable commuting distance. Potential participants were excluded if they had a known neurological condition, if they evidenced moderate or severe substance use disorder within 6 months of enrollment, or if psychotic symptoms were substance-induced.
2.2. Measures
The Interpersonal Reactivity Index (IRI; Davis, 1983) is a 28-item, self-report measure of empathy that includes four subscales: Perspective Taking (PT), Empathic Concern (EC), Fantasy (F), and Personal Distress (PD). While some past work has calculated cognitive and affective empathy composites or a total score, the most robust use of this measure considers the subscales separately, as they measure differentiable domains, and their combination does not produce an interpretable score (Bonfils et al., 2017, 2022; Davis, 1983). For all four subscales, higher scores indicate higher empathy.
The Questionnaire of Cognitive and Affective Empathy (QCAE; Michaels et al., 2014; Reniers et al., 2011) is a 31-item, self-report measure of empathy that yields a total score and includes five subscales: Perspective Taking (PT) and Online Simulation (OS), both considered to be cognitive empathy, and Emotion Contagion (EC), Peripheral Responsivity (PR), and Proximal Responsivity (PrR), all considered to be affective empathy. Composite cognitive and affective empathy scores can be computed, but these were excluded in the present investigation to parallel the IRI and limit redundant analyses. Higher scores on the QCAE suggest greater empathy (Michaels et al., 2014).
The Mayer-Salovey Caruso Emotional Intelligence Test – Managing Emotions Branch (MSCEIT-ME; Mayer et al., 2002) was administered as part of the MATRICS Consensus Cognitive Battery (Nuechterlein et al., 2008). The MSCEIT-ME is a measure of social cognition that requires participants to select the choice that represents the most effective response for each of 10 socially-oriented vignettes. The MSCEIT-ME assesses one’s skill at identifying effective emotional strategies to achieve specific social outcomes, reflecting aspects of social knowledge and perspective-taking alongside self-regulatory abilities (Mayer et al., 2002). Scores are calculated as age- and gender-corrected T-scores, where higher scores represent better skill.
The Social Attribution Task-Multiple Choice (SAT-MC; Johannesen et al., 2013) is a performance-based task assessing theory of mind. The SAT-MC includes 19 items and has two equivalent forms. In this study, both forms were used, split across the sample. As forms can be considered equivalent, scores from both were combined to create one total score, where higher scores indicate better theory of mind.
The Role Functioning Scale (RFS; Goodman et al., 1993) is an interviewer-rated scale assessing functioning across four domains: independent living, work productivity, immediate social relationships (i.e., family), and extended social relationships (i.e., friends). Subscales are rated on a 7-point scale with higher scores indicating better functioning.
The Scale for the Assessment of Negative Symptoms (SANS) (Andreasen, 1984a) is a 25-item interviewer-rated measure of negative symptoms that assesses the domains of alogia, anhedonia-asociality, affective flattening, avolition-apathy, and inattention. The Scale for the Assessment of Positive Symptoms (SAPS) (Andreasen, 1984b) is a 34-item interviewer-rated measure of positive symptoms that assesses the domains of delusions, hallucinations, bizarre behavior, and positive formal thought disorder. Higher domain scores on both the SANS and SAPS indicate worse symptom severity.
2.3. Procedures.
All procedures were approved by the UCLA Institutional Review Board. Participants provided written informed consent before completing eligibility and baseline measures. Eligibility was determined using the Structured Clinical Interview for DSM-5-Research Version (First et al., 2015). Enrollment in the Aftercare Research Program preceded baseline testing; treatment begins immediately following Aftercare enrollment, and baseline testing takes place 2–3 months later, depending on time to establish a maintenance antipsychotic regimen, which were prescribed at individually optimized dosages. All participants received $25 per hour for research assessments.
3. Analyses
Analyses were conducted in SPSS version 29 (IBM Corp., 2022) and JASP version 0.95.1 (JASP Team, 2021). To accomplish aim 1, we examined means and standard deviations of the IRI and QCAE and conducted two types of reliability analyses: Cronbach’s alpha (Cronbach, 1951) and McDonald’s omega (McDonald, 1999). Omega total (Revelle & Zinbarg, 2009) overcomes some limitations of alpha, including by accounting for differences in how individual items relate to the measured construct; i.e., omega does not assume tau equivalence (Dunn et al., 2014).
We next computed Pearson’s R correlations with two other measures of social cognition, the MSCEIT-ME and SAT-MC, and examined intercorrelations between the IRI and QCAE. To accomplish aim 2, we used Pearson’s R to examine associations between the empathy measures (IRI, QCAE) and everyday functioning and symptoms. Given the number of correlations examined, we conducted Benjamini-Hochberg corrections (Benjamini & Hochberg, 1995) as a sensitivity analysis to inform robustness of findings. To accomplish aim 3, we conducted hierarchical multiple linear regressions. To limit alpha inflation and ensure meaningful results, we selected models based on correlation results, such that dependent variables were selected based on whether they were related at a bivariate level to both an empathy construct (IRI, QCAE) and the MSCEIT-ME and/or SAT-MC. Models were then designed to test the contribution of the social cognition measure(s) in step 1, followed by the addition of empathy measure(s) in step 2. We examined total model statistics as well as R2 change to determine if empathy measures contributed unique variance to relationships with functioning and symptoms.
4. Results
Participants identified as men (65%) and women (35%). Just under one third each identified as mixed race (31%) or White (29%), with the remainder identifying as Asian (18%), Black (10%), or Pacific Islander or Indian (3%). One third (33%) identified as Hispanic. On average, participants were 23.4 years old (SD = 5.4). The majority of participants were single (93%). Most participants (94%) were diagnosed with schizophrenia, with a minority diagnosed with schizoaffective disorder, depressed type (6%).
4.1. Empathy in FEP
Means, standard deviations, Cronbach’s alpha, and McDonald’s omega total can be seen in Table 1. Considering a convention of .7 or higher to represent adequate internal consistency (Nunnally & Bernstein, 1994), issues were apparent for both the IRI and QCAE. Specifically, the IRI failed to meet the threshold of .7 for any subscale, though all subscales were .6 or higher, and three out of four were approaching .7 (with IRI-EC the lowest with an omega of .64). The QCAE evinced adequate to good internal reliability for the total score and QCAE-PT and OS subscales, but QCAE-EC, PR, and PrR displayed unacceptably low internal consistency, including values at or around .5 for multiple subscales.
Table 1.
Descriptive Statistics and Reliabilities for the IRI and QCAE
| Scale | M (SD) | Cronbach’s α (95% CI) | McDonald’s ω (95% CI) |
|---|---|---|---|
|
| |||
| IRI | |||
| Perspective Taking | 2.61 (0.65) | 0.63 (0.48–0.73) | 0.66 (0.53–0.75) |
| Empathic Concern | 2.79 (0.63) | 0.64 (0.46–0.73) | 0.64 (0.47–0.74) |
| Fantasy | 2.17 (0.78) | 0.65 (0.50–0.76) | 0.67 (0.48–0.77) |
| Personal Distress | 1.76 (0.70) | 0.63 (0.46–0.74) | 0.65 (0.48–0.76) |
|
| |||
| QCAE | |||
| Perspective Taking | 2.92 (0.58) | 0.87 (0.81–0.90) | 0.87 (0.81–0.90) |
| Online Simulation | 3.04 (0.50) | 0.75 (0.63–0.82) | 0.76 (0.64–0.83) |
| Emotion Contagion | 2.80 (0.58) | 0.58 (0.38–0.71) | 0.58 (0.42–0.72) |
| Peripheral Responsivity | 2.69 (0.55) | 0.48 (0.25–0.65) | 0.53 (0.39–0.67) |
| Proximal Responsivity | 2.57 (0.59) | 0.47 (0.26–0.60) | 0.49 (0.37–0.63) |
| QCAE Total | 2.86 (0.35) | 0.82 (0.76–0.86) | 0.82 (0.74–0.87) |
Note. IRI = Interpersonal Reactivity Index; QCAE = Questionnaire of Cognitive and Affective Empathy.
Intercorrelations between the IRI and QCAE can be seen in Table 2. The most consistent associations between these measures were for IRI-EC, higher scores on which correlated with greater QCAE-EC (p=.001), PR (p=.005), and PrR (p=.01). Other correlations were more sporadic, with IRI-PT correlating only with QCAE-OS and Total (ps<.001), IRI-PD correlating only with QCAE-EC (p=.011) and PR (p=.027), and IRI-F correlating only with QCAE-PrR (p<.001). The majority of correlations reflected small to moderate effect sizes (Cohen, 1992), with the exception of IRI-PT with QCAE-OS and Total, which were moderate to large. All correlations were positive. Notably, IRI-PT did not correlate significantly with QCAE-PT.
Table 2.
Correlations between the Interpersonal Reactivity Index and Questionnaire of Cognitive and Affective Empathy
| IRI Perspective Taking | IRI Empathic Concern | IRI Fantasy | IRI Personal Distress | SAT-MC | MSCEIT-ME | ||
|---|---|---|---|---|---|---|---|
|
| |||||||
| Perspective Taking | 0.13 | -0.12 | -0.04 | -0.19 | 0.10 | 0.17 | |
| Online Simulation | 0.70 ** | 0.11 | -0.11 | -0.14 | -0.12 | 0.04 | |
| Emotion | 0.20† | 0.34 ** | -0.04 | 0.27 * | -0.01 | 0.10 | |
| QCAE | Contagion Peripheral Responsivity | 0.10 | 0.30 ** | 0.06 | 0.24 * | 0.05 | -0.03 |
| Proximal Responsivity | -0.01 | 0.26 * | 0.52 ** | -0.10 | 0.19 | 0.05 | |
| Total | 0.42 ** | 0.18 | 0.06 | -0.07 | 0.05 | 0.13 | |
|
| |||||||
| SAT-MC | 0.01 | 0.30 ** | -0.15 | 0.18 | - | - | |
|
| |||||||
| MSCEIT | Managing Emotions | 0.03 | 0.18 | -0.04 | -0.15 | - | - |
Note. Interpersonal Reactivity Index = IRI; QCAE = Questionnaire of Cognitive and Affective Empathy; MSCEIT = Mayer Salovey Caruso Emotional Intelligence Test. Shaded cells represent significant correlations after correction for multiple comparisons.
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed).
Correlation is trending at .06.
Correlations between the empathy measures (IRI, QCAE) and the other social cognition measures (MSCEIT-ME and SAT-MC) can also be seen in Table 2. The MSCEIT-ME and SAT-MC performance scores were minimally associated with IRI and QCAE scores. The only significant relationship was between IRI-EC and the SAT-MC (r=.30, p=.005), such that higher EC was associated with better performance on the SAT-MC. Across social cognition measures, most significant correlations survived correction, with the exception of the relationships between IRI-EC and QCAE-PrR, IRI-PD and QCAE-EC, and IRI-PD and PR.
4.2. Empathy, functioning, and symptoms
Correlations between the IRI and functioning and symptoms can be seen in Table 3. Higher IRI-EC was related to fewer symptoms of affective flattening, alogia, and anhedonia; IRI-PD had a similar relationship with affective flattening only. Notably, IRI-F was related in the opposite direction with negative symptoms – higher IRI-F scores were correlated with greater symptoms of alogia, anhedonia, and inattention. The IRI was minimally associated with functioning, such that only one significant, positive association emerged between IRI-PD and RFS family relationships, with a further trend-level relationship (p=.06) with RFS extended social relationships. Similarly, only IRI-PD was associated with any aspect of positive symptoms, such that greater PD was associated with less bizarre behavior. No correlations remained significant after applying Benjamini-Hochberg (1995) correction.
Table 3.
Correlations between the IRI, Functioning, and Symptoms
| IRI Perspective Taking | IRI Empathic Concern | IRI Fantasy | IRI Personal Distress | ||
|---|---|---|---|---|---|
|
| |||||
| Work productivity | -0.02 | 0.02 | -0.07 | 0.03 | |
| Independent Living | 0.09 | -0.01 | 0.02 | 0.02 | |
| RFS | Immediate social network (family) | 0.01 | 0.14 | -0.17 | 0.24 * |
| Extended social network (friends) | -0.01 | 0.17 | -0.20 | 0.22† | |
|
| |||||
| Affective Flattening | -0.11 | -0.30 ** | 0.05 | -0.26 * | |
| Alogia | -0.05 | -0.27 * | 0.24 * | -0.11 | |
| SANS | Apathy | 0.05 | -0.10 | 0.21 | -0.10 |
| Anhedonia | -0.03 | -0.31 ** | 0.29 * | -0.02 | |
| Inattention | -0.06 | -0.12 | 0.27 * | 0.01 | |
|
| |||||
| Hallucinations | 0.02 | -0.05 | -0.07 | 0.09 | |
| SAPS | Delusions | -0.19 | -0.03 | 0.02 | -0.01 |
| Bizarre Behavior | -0.14 | -0.11 | -0.16 | -0.27 * | |
| Global Positive | -0.09 | -0.03 | 0.06 | 0.11 | |
Note. IRI = Interpersonal Reactivity Index; RFS = Role Functioning Scale; SANS = Scale for the Assessment of Negative Symptoms; SAPS = Scale for the Assessment of Positive Symptoms.
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed).
Correlation is trending at .06.
Correlations between the QCAE and functioning and symptoms can be seen in Table S1. Many correlations with the QCAE were near-zero; the only significant correlation was such that a greater total score on the QCAE was related to fewer symptoms of anhedonia (r=-.22, p<.05), which did not survive Benjamini-Hochberg (1995) correction.
4.3. Prediction with empathy and other social cognitive domains
Regression analyses were run for symptomatic or functioning variables that were associated with both an empathy variable and a social cognition variable (Table S2 of the supplemental material). Symptom variables that met the above criteria included SANS-Alogia, SANS-Anhedonia, and SAPS-Bizarre Behavior. While IRI-PD was associated at only a trend level with RFS extended social relationships, this scale otherwise met criteria for regression analyses, so we proceeded with this variable to inform hypotheses regarding functioning.
Regression results can be seen in Table 4. In the model predicting SANS-Alogia, SAT-MC and MSCEIT-ME were entered in the first step, and IRI-F and IRI-EC were entered in the second. SAT-MC was a significant predictor at both steps of the model, and the addition of the IRI subscales, both of which were significant predictors, explained an additional 11% of the variance in SANS-Alogia.
Table 4.
Regression results
| Model | Predictor | B | SE B | β | t | p |
|---|---|---|---|---|---|---|
|
| ||||||
| SANS Alogia | ||||||
| 1 | Constant | 3.42 | 0.63 | - | 5.44 | <.001 |
| MSCEIT-ME | -0.01 | 0.01 | -0.09 | -0.75 | .46 | |
| SAT-MC Total | -0.09 | 0.04 | -0.28 | -2.34 | .02 | |
|
| ||||||
| Model statistics: R2 = .10, Adjusted R2 = .07, F(2, 69) = 3.78, p = .028 | ||||||
|
| ||||||
| 2 | Constant | 3.37 | 0.83 | - | 4.06 | <.001 |
| MSCEIT-ME | -0.00 | 0.01 | -0.04 | -0.32 | .75 | |
| SAT-MC Total | -0.08 | 0.04 | -0.26 | -2.19 | .03 | |
| IRI Fantasy | 0.48 | 0.19 | 0.29 | 2.58 | .01 | |
| IRI Empathic Concern | -0.47 | 0.23 | -0.23 | -2.02 | .05 | |
|
| ||||||
| Model statistics: R2 = .21, Adjusted R2 = .16, F(4, 67) = 4.45, p = .003; ΔR2 = .11, p = .012 | ||||||
|
| ||||||
| SANS Anhedonia | ||||||
|
| ||||||
| 1 | Constant | 4.11 | 0.46 | - | 8.86 | <.001 |
| MSCEIT-ME | -0.03 | 0.01 | -0.34 | -3.00 | <.01 | |
|
| ||||||
| Model statistics: R2 = .11, Adjusted R2 = .10, F(1, 71) = 8.98, p = .004 | ||||||
|
| ||||||
| 2 | Constant | 5.19 | 1.03 | - | 5.04 | <.001 |
| MSCEIT-ME | -0.02 | 0.01 | -0.25 | -2.40 | .02 | |
| IRI Fantasy | 0.45 | 0.15 | 0.31 | 2.99 | <.01 | |
| IRI Empathic Concern | -0.56 | 0.18 | -0.33 | -3.05 | <.01 | |
| QCAE Total | -0.29 | 0.33 | -0.09 | -0.88 | .38 | |
|
| ||||||
| Model statistics: R2 = .29, Adjusted R2 = .25, F(4, 68) = 6.94, p < .001; ΔR2 = .18, p = .002 | ||||||
|
| ||||||
| SAPS Bizarre Behavior | ||||||
|
| ||||||
| 1 | Constant | 3.21 | 0.57 | – | 5.66 | <.001 |
| SAT-MC Total | -0.09 | 0.04 | -0.24 | -2.10 | .04 | |
|
| ||||||
| Model statistics: R2 = .06, Adjusted R2 = .04, F(1, 72) = 4.40, p = .040 | ||||||
|
| ||||||
| 2 | Constant | 4.81 | 0.79 | - | 6.08 | <.001 |
| SAT-MC Total | -0.12 | 0.04 | -0.30 | -2.67 | .01 | |
| IRI Personal Distress | -0.72 | 0.26 | -0.31 | -2.78 | .01 | |
|
| ||||||
| Model statistics: R2 = .15, Adjusted R2 = .13, F(2, 71) = 6.27, p = .003; ΔR2 = .09, p = .007 | ||||||
|
| ||||||
| RFS Social Relationships | ||||||
|
| ||||||
| 1 | Constant | 1.92 | 0.86 | - | 2.24 | .03 |
| MSCEIT-ME | 0.02 | 0.02 | 0.14 | 1.16 | .25 | |
| SAT-MC Total | 0.06 | 0.05 | 0.14 | 1.21 | .23 | |
|
| ||||||
| Model statistics: R2 = .05, Adjusted R2 = .03, F(2, 72) = 1.93, p = .152 | ||||||
|
| ||||||
| 2 | Constant | 0.45 | 1.07 | 0.42 | .68 | |
| MSCEIT-ME | 0.03 | 0.02 | 0.17 | 1.47 | .15 | |
| SAT-MC Total | 0.07 | 0.05 | 0.16 | 1.41 | .16 | |
| IRI Personal Distress | 0.65 | 0.29 | 0.25 | 2.23 | .03 | |
|
| ||||||
| Model statistics: R2 = .11, Adjusted R2 = .08, F(3, 71) = 3.01, p = .036; ΔR2 = .06, p = .029 | ||||||
Note. SANS = Scale for the Assessment of Negative Symptoms; MSCEIT-ME = Mayer-Salovey-Caruso Emotional Intelligence Test Managing Emotions Branch; SAT-MC = Social Attribution Task- Multiple Choice; IRI = Interpersonal Reactivity Index; QCAE = Questionnaire of Cognitive and Affective Empathy; SAPS = Scale for the Assessment of Positive Symptoms; RFS = Role Functioning Scale.
In the model predicting SANS-Anhedonia, MSCEIT-ME was entered in the first step, and IRI-F, IRI-EC, and QCAE Total were entered in the second. MSCEIT-ME was a significant predictor in both steps of the model. IRI-F and IRI-EC were both significant predictors (in opposite directions), but QCAE total was not. The addition of empathy variables improved the model and accounted for 18% of additional variance in SANS-Anhedonia.
In the model predicting SAPS-Bizarre Behavior, SAT-MC was entered in the first step, and IRI-PD was added in the second. All were significant predictors. IRI-PD significantly improved the model and explained an additional 9% of the variance in SAPS-Bizarre Behavior.
In the final model predicting RFS extended social relationships, SAT-MC and MSCEIT-ME were entered in the first step, and IRI-PD was added in the second. Neither social cognitive variable was significant in the first step of the model. IRI-PD contributed significantly in the second step, explaining an additional 6% of the variance in RFS social relationships and leading to model significance.
5. Discussion
Our results indicate that self-reported measures of empathy perform relatively poorly among FEP participants. Despite this limitation, we found that self-reported empathy in FEP is associated with clinical characteristics, specifically negative symptoms, with lower affective empathy emerging as the most consistent predictor of higher negative symptoms across the domains of alogia, anhedonia, and affective flattening. Moreover, IRI empathy subscales contributed to symptoms and functioning over and above performance-based social cognition measures, in one case accounting for an additional 18% of variance in anhedonia. These findings are notable, given the prevalence of anhedonia among those with schizophrenia (Krzyzanowski et al., 2022) and its links with quality of life, functioning, and other symptoms among those with FEP (Pelizza et al., 2020). Together, findings suggest that empathy is a construct worthy of continued focus in FEP.
This work extends our understanding of empathy measurement in FEP samples. While self-reported empathy measures predominate, we found that neither the IRI nor the QCAE met basic requirements for psychometric reliability (Nunnally & Bernstein, 1994), which was relatively low for subscales across both measures. The QCAE, though developed with the aim to improve empathy measurement, had several subscales with unacceptably low internal consistency, and the total score showed minimal associations with clinical or functional variables. While the IRI appears to be comparatively better suited for empathy research in FEP samples, past research has also revealed lower internal consistency estimates in psychosis populations (Bonfils et al., 2022; Bonfils, Lysaker, et al., 2019; Michaels et al., 2014). Thus, an important finding of this study is that novel or refined empathy measurement is needed for studies on FEP, and likely schizophrenia-spectrum disorders broadly.
Given the novelty of our findings and dearth of empathy research in FEP populations, our findings merit interpretation, despite poor psychometric performance of empathy measures. In particular, the dominance of affective empathy in our results is surprising, as past work has primarily supported links between cognitive empathy and clinical variables in both FEP (Achim et al., 2011; Canty et al., 2021) and schizophrenia (Horan et al., 2015). Indeed, while affective empathy deficits are established in schizophrenia (Bonfils et al., 2016), the effect size is small-to-moderate, and some have highlighted affective empathy as relatively preserved in this population (Horan et al., 2012). Our results suggest, however, that affective empathy may be linked to negative symptoms in FEP participants, across both experiential and expressive domains. Prior work has linked reduced empathy more strongly to worse experiential negative symptoms (Bonfils et al., 2021), but our data suggest that affective empathy adds to the prediction of both alogia and anhedonia, even when accounting for other social cognitive variables. While preliminary, this could suggest that one’s tendencies to share emotions with others are linked to the ability to generate and sustain emotional signals, both internally and externally (Andrzejewska et al., 2017). Moreover, our findings align with some work suggesting that a subset of negative symptoms may be the downstream consequence of social cognitive deficits (Pelletier-Baldelli & Holt, 2020). More work is needed to investigate these possibilities.
Of note, IRI-PD and IRI-F are arguably not core to the construct of empathy (Bonfils et al., 2022; Reniers et al., 2011), but demonstrated interesting relational patterns in our data. First, IRI-PD measures self-oriented distress, which may impair empathy rather than promote it (Batson et al., 1987; Eisenberg & Miller, 1987), instead of emotional matching, which promotes positive social bonding (Davis, 1983). Yet, in this sample, greater endorsement of PD was associated with better functioning in the domains of family relationships and friendships (trending). Given that PD was also associated with less affective flattening, these findings may reflect greater emotional range among participants endorsing higher PD. More work is needed to deepen our understanding of PD’s role in social functioning.
IRI-F, like PD, is also less central to the empathy construct. If we consider empathy to primarily refer to one’s ability to relate to other people in real life (Decety & Jackson, 2004), then Fantasy, which assesses connection to fictional characters, is instead an adjacent construct. In our data, higher IRI-F scores were related to worse alogia, anhedonia, and inattention. Indeed, for both anhedonia and alogia, along with IRI-EC, Fantasy remained a significant predictor even when accounting for other social cognitive constructs. It is possible that greater tendencies to relate to fictional characters may represent greater internal absorption (Rosen et al., 2017; Tellegen & Atkinson, 1974) in this sample, which could be driving relationships with negative symptoms. Of note, however, Fantasy was not linked to any positive symptom, suggesting that while higher Fantasy may be impairing, those with FEP who relate to fictional characters are not necessarily at heightened risk for delusional symptoms, such as ideas of reference.
This study has limitations. First and importantly, correlations between empathy measures and clinical characteristics did not survive FDR correction. Given the novelty of our findings and moderate effect sizes (Cohen, 1992), we interpreted uncorrected results. Future research should replicate our findings, with emphasis on adequate power to detect moderate effects when correcting for multiple comparisons. Second, while the MSCEIT-ME and SAT-MC are established social cognition measures, examining empathy alongside measures such as the Bell-Lysaker Emotion Recognition Task or the Hinting Task may have been a better test of its unique contributions, considering that these measures have been recommended after rigorous testing via the SCOPE study (Pinkham et al., 2018). Third, we were not able to closely examine comorbid conditions. Autism spectrum disorder, in particular, may be of interest as a comorbidity in future research, given known empathy impairments associated with this condition (Fatima & Babu, 2024). Lastly, this study did not include a healthy comparison group. While not examined statistically, IRI and QCAE means in this sample were relatively similar to those previously found in schizophrenia samples (Horan et al., 2015). Future work is needed to examine empathy differences in FEP samples compared to healthy participants.
Taken together, our data indicate that improved empathy measurement is needed for work in FEP samples. This is an important future direction, underscored by our results suggesting that affective empathy, in particular, is meaningfully related to negative symptoms, with direction of relationship dependent on subscale. Moreover, our results suggest that empathy predicts notable variance in clinical characteristics in FEP, even after accounting for other social cognitive constructs. Overall, with replication, these findings demonstrate that empathy may be clinically important in FEP samples.
Supplementary Material
Acknowledgment
The authors would like to thank the study participants and the dedicated UCLA Aftercare Research Program staff members.
Funding:
This research was supported by the National Institute of Mental Health (KHN, R01 MH110544 and R01 MH130848) (ClinicalTrials.gov Identifier: NCT02823041). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health or the National Institutes of Health.
Footnotes
Declaration of Interest Statement
The authors report the following competing interests: Dr. Nuechterlein has served as a consultant to Boehringer Ingelheim, Janssen, and Recognify and received research grant support from Boehringer Ingelheim unrelated to this study. He is an officer in the nonprofit company, MATRICS Assessment, Inc., which publishes the MCCB, but receives no financial compensation. Dr. Ventura has received research funding from Brain Plasticity, Inc., and Janssen Scientific Affairs, LLC, and has served as a consultant to Boehringer Ingelheim, and Brain Plasticity, Inc. Dr. Subotnik has received lecture honoraria from Janssen.
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