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J Korean Acad Psychiatr Ment Health Nurs > Volume 35(2); 2026 > Article
Kim and Jo: Professional Quality of Life among Mental Health Nurses: The Role of Work Environment, Exposure to Violence, Mental Toughness, and Self-Compassion in a Cross-Sectional Survey

Abstract

Purpose

This study examined the associations among work environment, exposure to violence, mental toughness, self-compassion, and self-coldness with professional quality of life (ProQOL) in mental health nurses, including indirect pathways.

Methods

A cross-sectional survey was conducted with 184 nurses in Korea. Participants completed validated measures assessing their work environment, exposure to violence, mental toughness, self-compassion (including both self-compassion and self-coldness components), and ProQOL (encompassing compassion satisfaction and compassion fatigue). Data were analyzed using structural equation modeling.

Results

Both work environment and mental toughness were associated with higher compassion satisfaction and lower compassion fatigue. Mental toughness also accounted for significant indirect associations between work environment and both subcomponents of ProQOL. Self-compassion was linked to higher compassion satisfaction but not to compassion fatigue, while self-coldness showed a positive association with compassion fatigue and no significant association with compassion satisfaction. Although exposure to violence was not directly associated with ProQOL, it demonstrated an indirect association with compassion satisfaction through self-compassion.

Conclusion

These findings underscore the pathways contributing to professional well-being and provide clinical implications along with recommendations for future research.

INTRODUCTION

Mental health nurses working in psychiatric hospitals and community mental health centers play a vital role in delivering comprehensive care to individuals with psychiatric disorders. Owing to the nature of psychiatric symptoms, these nurses are frequently exposed to patients' selfharm, physical aggression, and verbal abuse [1]. They are also required to rely on emotional presence and interpersonal engagement as key therapeutic tools, making emotional labor a central and demanding aspect of their work [2]. Consequently, the prevention of emotional exhaustion among psychiatric nurses has been widely acknowledged as a critical priority [3]. Against this backdrop, the concept of professional quality of life (ProQOL) is increasingly used to explain emotional responses and outcomes among professionals engaged in caregiving work [4].
ProQOL captures the affective consequences of helping work rather than overall life status [5]. In the ProQOL model, the rewarding side is compassion satisfaction, whereas the strain side is compassion fatigue, which comprises burnout and secondary traumatic stress [6]. Burnout is the result of the depletion of emotional and physical resources owing to work demands, whereas secondary traumatic stress involves stress reactions and functional impairment caused by indirect exposure to traumatic experiences [6]. Unlike general quality of life, which encompasses physical, mental, social, and environmental do-mains, ProQOL focuses specifically on the emotional impact of caregiving work and is therefore particularly relevant to nursing professionals who are repeatedly exposed to others' suffering [5,6].
According to the ProQOL framework [6], professional well-being in caregiving occupations has been discussed in relation to personal characteristics, client-related factors, and work-related environmental conditions. Among these, the work environment is a well-established correlate of nurses' performance and well-being [7]. The nursing practice environment includes participation in organizational affairs, quality-related foundations of care, manager leadership, staffing and resource adequacy, and nurse-physician relations [8]. Favorable work environments have been associated with greater job satisfaction, better patient outcomes, and lower turnover [7]. In psychiatric settings, these organizational conditions may be especially important, as nurses routinely work in emotionally demanding and safety-sensitive environments [9].
Another salient condition in psychiatric nursing is exposure to patient violence. Violence from patients is a major client-related occupational stressor and has been linked to depressive symptoms, post-traumatic stress symptoms, reduced job satisfaction, and turnover intention [4,9]. Meanwhile, nurses exposed to similar work conditions do not necessarily report the same level of professional distress, suggesting that external occupational conditions alone may not fully explain the variation in ProQOL [4]. This observation highlights the relevance of internal psychological characteristics that may be associated with how nurses respond to demanding or threatening clinical situations. However, although previous studies have identified work environment and violence exposure as important correlates of nurses' well-being, fewer studies have examined how these factors relate to Pro-QOL alongside specific internal traits such as mental toughness and self-compassion [4]. In addition, conceptual precision remains limited, particularly regarding which internal factors may be differentially associated with positive and negative aspects of ProQOL [10].
Mental toughness was included as a personal resource because psychiatric nurses often need to function under continuing interpersonal and safety-related strain. The construct originated in sport psychology but has been extended to other high-pressure occupational contexts [11]. Rather than equating it with resilience, this study treats mental toughness as a related but separate construct characterized by challenge appraisal, persistence, perceived control, and confidence [12]. Whereas resilience centers on recovery after adversity, mental toughness emphasizes effective functioning while stressors are still unfolding [13]. For mental health nurses, this capacity may be relevant during patient aggression, clinical crises, and emotionally demanding therapeutic encounters [4,14].
Self-compassion may also serve as a relevant intrapersonal factor. Self-compassion describes a tendency to respond to personal difficulties with warmth, understanding, and acceptance, rather than with severe self-blame or criticism [15]. According to Neff's model, this construct consists of six elements: self-kindness, self-judgment, common humanity, isolation, mindfulness, and over-identification [15]. More recent work has suggested that these elements can be organized into two conceptually related but distinct dimensions. The first reflects the adaptive aspects of self-compassion, including self-kindness, common humanity, and mindfulness, whereas the second captures maladaptive responses such as self-judgment, isolation, and over-identification, which are frequently described as self-coldness [16]. This distinction is important because the positive and negative components do not appear to function merely as opposite poles of a single continuum; instead, they may show different patterns of association with positive and negative indicators of psychological adjustment [16].
In nursing contexts, these adaptive and maladaptive aspects of self-related responding may help explain how nurses regulate emotional strain and maintain psychological adjustment. Positive self-compassion may support compassion satisfaction by facilitating balanced awareness of distress, self-kindness after difficult clinical encounters, and a sense that occupational difficulties are part of a shared human and professional experience. By contrast, self-coldness may be associated with compassion fatigue through self-critical rumination, perceived isolation, and emotional over-identification. When nurses interpret patient aggression, therapeutic setbacks, or emotional exhaustion as personal failure, self-coldness may prolong negative affect, intensify shame or helplessness, and reduce adaptive recovery following stressful encounters. Over-identification may also blur the psychological boundary between patients' distress and nurses' own emotional responses, thereby increasing vulnerability to secondary traumatic stress and burnout. Thus, self-coldness is not merely the absence of positive self-compassion but may represent a maladaptive self-relational process that maintains or amplifies emotional strain in caregiving work.
Prior studies have shown that mindfulness may reduce burnout, whereas feelings of isolation may exacerbate it [17]. Other evidence suggests that self-compassion facilitates emotional regulation, supports meaning-making, and promotes recovery following distressing experiences [18]. For mental health nurses, who often encounter high emotional demands, self-compassion may support positive professional well-being, whereas self-coldness may increase vulnerability to compassion fatigue. Despite growing interest in self-compassion in nursing research, relatively few studies have explicitly examined the distinct roles of self-compassion and self-coldness in relation to ProQOL. Clarifying these potentially differentiated associations may provide a more nuanced understanding of how nurses' internal psychological processes relate to both the positive and negative dimensions of professional well-being.
Taken together, prior literature suggests that both external occupational conditions and internal psychological characteristics are relevant to ProQOL. From a Job Demands-Resources perspective (JD-R) [19], work environment and exposure to violence are considered important external occupational conditions, whereas mental toughness and self-compassion-related processes may represent internal psychological resources relevant to professional well-being. In this framework, mental toughness and selfcompassion may function as adaptive psychological resources, whereas self-coldness may reflect a maladaptive self-relational tendency that increases vulnerability to emotional strain. However, the extent to which these factors are differentially associated with compassion satisfaction and compassion fatigue remains unclear.
Accordingly, this study examined the associations of work environment, exposure to patient violence, mental toughness, self-compassion, and self-coldness with Pro-QOL among mental health nurses (Figure 1). Based on the ProQOL framework, work environment and exposure to patient violence were conceptualized as key external occupational conditions, whereas mental toughness, self-compassion, and self-coldness were treated as internal psychological factors relevant to professional well-being. In particular, the study aimed to determine whether these internal factors demonstrate distinct associations with compassion satisfaction and compassion fatigue. It also intended to examine whether the associations of external occupational conditions with ProQOL are better understood when these internal psychological factors are considered.

METHODS

1. Study Design

This cross-sectional study employed quantitative methods and adhered to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.

2. Setting and Sample

The participants were licensed nurses working either in psychiatric hospitals or community mental health centers, with at least one year of clinical experience. All participants voluntarily consented to participate after being fully informed about the study. The required sample size was calculated using G*Power (version 3.1), assuming a medium effect size (f2=.15), an ⍺ level of .05, statistical power of .95, and 12 predictors, including five subdimensions of the work environment, four subtypes of violence exposure, mental toughness, and two factors of self-compassion. The minimum required sample size was estimated to be 184 participants. Although the main analysis was conducted using structural equation modeling, this calculation was performed to ensure adequate statistical power for regression-based estimation. To ensure sufficient statistical power, 200 responses were collected. Of these, 16 were excluded—seven owing to insufficient clinical experience and nine owing to an ineligible workplace setting. The final sample comprised 184 participants with complete data and no missing values. Given that the assumptions of normality were met, maximum likelihood estimation was applied, and the final model demonstrated acceptable fit, the current sample size was considered adequate for SEM analysis.

3. Ethical Considerations

This study was approved by the Institutional Review Board of Chonnam National University (IRB No. 1040198 -250122-HR-019-02) and followed the principles of the Declaration of Helsinki. Written consent was waived owing to the anonymity of the online survey. The participants received a KRW 5,000 coffee coupon as a token of appreciation. Contact information was used solely for coupon delivery and was permanently deleted after distribution. All data were anonymized using participant IDs and stored in an encrypted, password-protected database. Anonymized data will be retained for three years in accordance with IRB policy.

4. Measurements/Instruments

1) Demographic characteristics

The participants reported their sex, age, education, workplace setting, mental health certification status, and years of nursing experience. Sex was coded as 1 (male) or 0 (female), and age was categorized by decade and coded from 1 to 5. Education was coded from 1 (associate degree) to 4 (doctoral degree). Workplace setting was coded as 1 (psychiatric hospital) or 0 (community mental health center). Certification was coded as 1 (with certification) or 0 (without certification). Nursing experience was classified according to Benner's [20] stages as follows: advanced beginner (less than 2 years), competent (2 to less than 3 years), proficient (3 to less than 5 years), and expert (5 years or more), with corresponding codes from 1 to 4.

2) Professional quality of life

ProQOL was measured with the Korean Professional Quality of Life Scale Version 5 [6], obtained from its official website (https://proqol.org/proqol-measure). The instrument contains 30 items rated on a 5-point scale and yields scores for compassion satisfaction, burnout, and secondary traumatic stress. In the ProQOL framework, compassion fatigue is conceptualized as a composite construct comprising burnout and secondary traumatic stress [6]. In this study, compassion satisfaction was calculated as the mean score of its corresponding subscale. Compassion fatigue was calculated by combining the burnout and secondary traumatic stress subscales after reverse-coding the appropriate items, and the mean score of the combined items was used. Higher compassion satisfaction and lower compassion fatigue scores indicated better ProQOL. Cronbach's ⍺ coefficients for the original version were .88 for compassion satisfaction, .75 for burnout, and .81 for secondary traumatic stress [6]. In this study, Cronbach's ⍺ was .93 for compassion satisfaction and .84 for compassion fatigue.

3) Work environment

The perceived nursing work environment was assessed with the Korean Practice Environment Scale of the Nursing Work Index (PES-NWI), developed by Lake [8] and validated by Cho et al. [21]. The 29-item tool employs a 4-point Likert scale and measures five domains. The mean scores were calculated for each subscale. Higher scores indicated more favorable perceptions of the work environment. In prior research [21], Cronbach's ⍺ coefficients ranged from .80 to .84. In this study, Cronbach's ⍺ values ranged from .74 to .87 for the subscales and were .95 for the total scale.

4) Exposure to violence

The Korean Overt Aggression Scale (OAS), developed by Yudofsky et al. [22] and translated by Kim and Lee [1], was used to assess exposure to patient violence. The instrument includes 16 dichotomous items covering verbal aggression, aggression against objects, self-directed aggression, and aggression toward others, with four severity-ordered items in each domain. Internal consistency was assessed using the Kuder-Richardson Formula 20 (KR-20), with coefficients ranging from .85 to .91 for the subscales and .96 overall. Severity-weighted scoring was performed according to Silver and Yudofsky [23], with higher scores indicating greater exposure and severity.

5) Mental toughness

The Mental Toughness Questionnaire-18 (MTQ-18), a brief measure derived from the MTQ-48, was used to as sess mental toughness [11]. Approval for translating the scale into Korean was obtained from the original authors. A bilingual Korean psychologist first translated the instrument, followed by a review by a second professional translator. Back-translation was performed by another bilingual Korean speaker and reviewed by a third professional translator. The original authors approved the final version of the questionnaire, ensuring its equivalence. Seven individuals participated in the translation process.
The MTQ-18 consists of 18 items rated on a 5-point Likert scale, with higher mean scores indicating greater mental toughness. Although the MTQ-18 derives from a multidimensional parent instrument, it was originally intended to provide a global score of mental toughness. Prior psychometric work has suggested that the MTQ-18 is better interpreted as a global indicator than as a stable multidimensional measure, although its factorial structure may be less than optimal [12].
In the present study, exploratory and confirmatory factor analyses were conducted to examine the structure of the MTQ-18. Both the initial one-factor model and the theoretically derived four-factor model did not demonstrate satisfactory fit. Inspection of modification indices suggested several theoretically plausible correlated residuals among item pairs. Allowing these error covariances resulted in an improvement in model fit; however, the revised model still did not meet recommended fit criteria, and the overall structure remained difficult to interpret as a stable multidimensional construct. This pattern is consistent with previous research, indicating that the MTQ-18 does not consistently support a clear or stable factor structure across different samples [12]. Given these findings, the scale was treated conservatively as a unidimensional composite score in the present study.
Despite its suboptimal factor structure in the present sample, the MTQ-18 was retained for three reasons. First, the purpose of this study was not to validate distinct subdimensions of mental toughness but to examine the association of overall mental toughness with ProQOL. Second, the MTQ-18 was originally developed as a brief measure intended to provide a global index of mental toughness, and prior psychometric work has suggested that it is more appropriately interpreted as a global indicator than as a stable multidimensional measure [12]. Third, in the present sample, the total score demonstrated good internal consistency (Cronbach's ⍺=.88) and showed theoretically coherent associations with related constructs in the structural model. Therefore, findings related to mental toughness should be interpreted as reflecting a global tendency involving confidence, control, commitment, and challenge collectively, rather than as evidence regarding distinct mental toughness subdimensions.

6) Self-compassion and self-coldness

Self-compassion and self-coldness were assessed with the Korean Self-Compassion Scale, developed by Neff [15] and validated by Kim et al. [24]. The 26-item scale includes six subcomponents rated on a 5-point Likert scale. In prior research [24], Cronbach's ⍺ coefficients ranged from .80 to .84, .66 to .81, and .74 to .81 depending on the sample. In this study, a two-factor structure was applied based on Brenner et al. [16]. Consistent with this model, the positive Self-Compassion Scale components were labeled as the self-compassion factor, comprising self-kindness, common humanity, and mindfulness, whereas the negative components were labeled as the self-coldness factor, comprising self-judgment, isolation, and over-identification. Self-coldness items were not reverse-scored, such that higher scores indicated greater self-coldness. Mean scores were calculated for each factor. Cronbach's ⍺ values were .88 for self-compassion (.75 to .79 for the subscales) and .90 for self-coldness (.74 to .80 for the subscales).

5. Data Collection and Procedure

An online questionnaire was created using the Naver survey platform (https://www.naver.com/), a widely used portal in Korea. The survey included detailed information regarding the purpose of the study, procedures, eligibility, estimated duration, risks and benefits, confidentiality, and participants' rights. Only respondents who provided consent were allowed to proceed. Participants were recruited through the online community of the Korean Society of Mental Health Nursing (https://www.band.us/), and data were collected from May 2 to 17, 2025.

6. Data Analysis

All statistical analyses were conducted using SPSS 21.0 and AMOS 21.0 (IBM Corp., Armonk, NY, USA). Internal consistency was assessed using Cronbach's ⍺ and KR-20 for binary data. Descriptive statistics were used to summarize the demographic variables. ANOVA and x2 tests were conducted to examine group differences in ProQOL and exposure to violence. Pearson's correlation coefficient was used to examine bivariate relationships. Multiple regression analysis was conducted to assess the predictive relationships among the variables. Finally, structural equation modeling (SEM) was used to test the hypothesized model and evaluate overall model fit. SEM parameters were estimated using maximum likelihood estimation.

RESULTS

1. Demographic Characteristics

A total of 184 psychiatric nurses were included (Table 1). The majority were women (83.7%), aged 24~66 years, and the largest proportion were in their 30s (38.6%). Most participants had a bachelor's degree (58.7%) and were employed in a psychiatric hospital (78.8%). A total of 56.0% held mental health nursing certifications. Based on Benner's classification [20], most participants were experts with more than five years of experience (56.0%).
To examine differences in ProQOL according to demographic characteristics, Welch's ANOVA was conducted to account for unequal group sizes and potential violations of homogeneity of variance. No significant group differences were found in compassion satisfaction or compassion fatigue across most of the demographic variables. However, compassion satisfaction differed significantly according to educational attainment (Welch's F=7.87, p=.002), with doctoral-level nurses reporting the highest scores. Nonetheless, this finding should be interpreted with caution because of the small number of participants in this group (n=3).

2. Group Differences in Exposure to Violence

Nurses working in psychiatric hospitals reported significantly higher exposure to all categories of patient aggression than those working in community mental health centers, with the exception of one item measuring the most severe level of self-directed aggression (Supplemental Table 1). Across aggression types and severity levels, rates of verbal aggression ranged from 73.1% to 84.8% among hospital nurses and from 46.2% to 61.5% among community-based nurses. Exposure to physical aggression against objects ranged from 51.7% to 75.9% among hospital nurses and from 33.3% to 48.7% among community nurses. The exposure rates for self-directed aggression were 29.7% to 74.5% in hospitals and 17.9% to 38.5% in community centers. Last, for aggression toward others, the rates were 46.9% to 70.3% in hospitals and 15.4% to 38.5% in community settings.

3. Descriptive Statistics of Main Variables

All variables demonstrated acceptable levels of skewness and kurtosis (±2), indicating no significant deviations from normality (Table 2). The mean score for compassion satisfaction was 3.55±0.72, whereas that for compassion fatigue was 2.42±0.51. Among the work environment subscales, participation in hospital affairs had the lowest mean (2.41±0.67) and manager support had the highest mean (2.64±0.75). The mean mental toughness score was 3.26±0.56. For self-related variables, self-compassion had a mean score of 3.40±0.60 and self-coldness had a mean score of 1.77±0.71.

4. Relationships among Main Variables

Pearson correlation analyses (Table 2) indicated that compassion satisfaction was positively correlated with all five work environment dimensions (r=.39 to .46, p<.05) and with mental toughness (r=.64, p<.001), and self-compassion (r=.48, p<.001), and negatively correlated with self-coldness (r=-.44, p<.001). Conversely, compassion fatigue was negatively correlated with the five work environment dimensions (r=-.26 to -.34, p<.05), mental toughness (r=-.54, p<.001), and self-compassion (r=-.28, p<.001), and positively correlated with self-coldness (r=.48, p<.001).
Preliminary multiple regression diagnostics were conducted at the indicator level to assess whether the five PES-NWI subscales and four violence-exposure subtypes could be entered simultaneously as observed predictors. Given that substantial multicollinearity was detected (tolerance <0.20; variance inflation factor >5.0), the regression coefficients were not interpreted, and SEM was selected as the primary analytic approach. In the SEM, work environment and exposure to violence were specified as latent constructs indicated by their respective subscales, allowing the common variance among highly correlated indicators to define each construct while reducing coefficient instability attributable to multicollinearity and accounting for measurement error. This approach enabled the estimation of structural relationships at the construct level rather than at the level of highly collinear observed variables.

5. Structural Equation Modeling

1) Measurement model

Confirmatory factor analysis was conducted to evaluate the validity of latent constructs. In general, model fit is considered good when the Tucker-Lewis Index (TLI) and Comparative Fit Index (CFI) are≥.95, and the Root Mean Square Error of Approximation (RMSEA) and Standardized Root Mean Square Residual (SRMR) are ≤.06; acceptable fit is indicated by TLI and CFI ≥.90 and RMSEA and SRMR ≤.08 [25]. The confirmatory factor analysis demonstrated acceptable model fit: x2=154.32, dF=84, p<.001, TLI=.96, CFI=.97, RMSEA=.07, SRMR=.06.
Standardized factor loadings ranged from .78 to .93 for the PES-NWI, .87 to .94 for the OAS, .57 to .94 for the self-compassion subscale, and .83 to .85 for the self-coldness subscale. The average variance extracted values exceeded the recommended threshold of .50 (.73 for the PESNWI, .81 for the OAS, .62 for self-compassion, and .71 for self-coldness), indicating strong convergent validity [26]. The composite reliability values were .93, .94, .82, and .88, respectively, exceeding the threshold of .70 and supporting internal consistency [26]. Discriminant validity was established, as the square root of the average variance extracted exceeded the inter-factor correlations (r=-.11 to .48) [26].

2) Structural model

The initial structural model was specified based on the ProQOL framework and focused primarily on the direct associations of external occupational conditions and internal psychological factors with ProQOL. Although several fit indices were within acceptable ranges, x2=235.60, dF=124, p<.001, TLI=.94, CFI=.95, and RMSEA=.07, the elevated SRMR value (.133) suggested localized misfit and possible oversimplification of the hypothesized structure.
To address this issue, the model was respecified in a theory-guided manner. Specifically, indirect pathways from work environment to internal psychological factors were incorporated, as supportive work conditions may be associated with adaptive personal functioning, including greater mental toughness and self-compassion, and lower self-coldness. From a Job Demands-Resources perspective, work environment can be conceptualized as an external resource that may be associated with internal psychological processes relevant to occupational well-being [19]. In addition, prior research has suggested that supportive work environments are associated with enhanced psychological resilience and self-compassion-related functioning [27].
Furthermore, because the directional relationship between mental toughness and self-compassion is not theoretically well established, a covariance path was specified between these constructs rather than imposing a directional effect. These modifications were informed by both theoretical plausibility and empirical model diagnostics. The revised model (Figure 2) demonstrated improved and acceptable fit: x2=197.55, dF=118, p<.001, TLI=.96, CFI=.97, RMSEA=.06, SRMR=.06. Accordingly, the revised model was retained for interpretation.

3) Measurement and structural invariance

To examine whether the structural model differed across work settings (psychiatric hospitals vs. community mental health centers), multi-group structural equation modeling was conducted. Measurement invariance was evaluated following a stepwise approach, including tests of configural, metric, scalar, residual, and structural (path) invariance [28]. Consistent with recommended criteria, changes in model fit were considered non-significant when ΔCFI was less than .01 and ΔRMSEA was less than .015 [28]. The results indicated that none of the invariance tests exceeded these thresholds. These results serve as a robustness check, indicating that the model is stable across different work settings. Therefore, differences in sample composition across work settings are unlikely to have substantially biased the overall model estimates.

4) Direct and indirect associations

Indirect associations were estimated using the bootstrap method with phantom variables following the procedure outlined by Macho and Ledermann [29]. A total of 5,000 bootstrap resamples were used, and 95% bias-corrected confidence intervals (95% CI) were calculated using the maximum likelihood estimation method (Table 3).
Direct path analysis indicated that work environment was positively associated with compassion satisfaction (B=.34, β=.29, p<.001) and negatively associated with compassion fatigue (B=-.16, β=-.19, p=.005). Mental toughness was significantly associated with higher compassion satisfaction (B=.56, β=.43, p<.001) and lower compassion fatigue (B=-.28, β=-.30, p=.004). Self-compassion was positively associated with compassion satisfaction (B=.30, β=.22, p=.002) and was not significantly associated with compassion fatigue. Conversely, self-coldness was positively associated with compassion fatigue (B=.17, β=.23, p=.030) but not with compassion satisfaction. Exposure to violence, operationalized as a severity-weighted indicator of objective behavioral exposure to patient aggression, had no significant direct association with either outcome.
Significant indirect associations were also observed through internal psychological factors. Work environment was positively associated with compassion satisfaction through mental toughness (B=.19, p<.001, 95% CI [.08, .34]) and self-compassion (B=.09, p=.012, 95% CI [.02, .20]). In addition, work environment was negatively associated with compassion fatigue through mental toughness (B=-.09, p=.011, 95% CI [-.19, -.02]) and self-coldness (B=-.05, p=.023, 95% CI [-.15, -.01]). Although exposure to violence showed no significant indirect associations with most outcomes, a small but significant indirect association with compassion satisfaction through self-compassion was observed (B=.01, p=.013, 95% CI [.00, .03]).

DISCUSSION

This study examined the direct and indirect associations of work environment, exposure to patient violence, mental toughness, and the two components of self-compassion with ProQOL among psychiatric and community mental health nurses. Although the original ProQOL framework primarily emphasizes direct associations among these factors [6], the present findings suggest that these relationships may be more comprehensively understood when internal psychological factors are considered. In particular, mental toughness, self-compassion, and selfcoldness demonstrated distinct associations with ProQOL, highlighting the combined importance of external occupational conditions and internal psychological processes in professional well-being. These findings are broadly consistent with both the ProQOL framework and the Job Demands-Resources theory.
Specifically, work environment and mental toughness were each associated with higher compassion satisfaction and lower compassion fatigue, and mental toughness accounted for significant indirect associations between work environment and both ProQOL components. This pattern is consistent with previous research emphasizing the relevance of psychological resilience in high-stress occupations [3]. One plausible explanation is that supportive work environments may help nurses maintain confidence, persistence, and emotional control, thereby contributing to more favorable professional well-being. Meanwhile, the present findings suggest that organizational support alone may not be sufficient if nurses lack adequate internal coping resources. Accordingly, efforts to improve nurses' professional well-being may benefit from combining environmental improvement with strategies that strengthen psychological resilience. Given that the present data are crosssectional, the temporal direction of these associations should be interpreted cautiously.
Self-compassion and self-coldness exhibited distinct patterns of association with ProQOL. In the present study, the term "self-compassion" refers specifically to the positive component of the two-factor model, whereas the overall construct measured by the self-compassion scale includes self-coldness. This distinction is important because the same terminology is used for both the overall construct and its positive component, which may otherwise lead to conceptual ambiguity. Self-compassion was associated with higher compassion satisfaction but not with compassion fatigue, whereas self-coldness was pos-itively associated with compassion fatigue but not with compassion satisfaction. This pattern supports the twofactor view that the positive and negative components of self-compassion are not merely opposite poles of a single continuum but are differentially linked to positive and negative aspects of occupational well-being. In the present context, self-compassion may be more closely related to meaning, fulfillment, and emotional balance in caregiving, whereas self-coldness may be more closely related to self-critical, isolating, and over-identifying responses that amplify emotional depletion. Individuals with high selfcoldness often exhibit emotional rigidity, harsh self-evaluation, and difficulties in adaptive emotional regulation [16,17]. Accordingly, interventions for mental health nurses may need to combine strategies that cultivate self-compassion with approaches that directly target self-critical and maladaptive self-relational patterns associated with self-coldness.
Although exposure to patient violence was not directly associated with ProQOL in the final model, a small indirect association with compassion satisfaction through self-compassion was observed. This finding should not be interpreted as indicating that patient violence is unimportant for nurses' professional well-being. Rather, it may reflect the distinction between objective exposure to aggression and the subjective appraisal and processing of such events. In this study, violence exposure was assessed using severity-weighted indicators that reflected multiple forms of patient aggression, including verbal hostility, destructive or threatening behavior involving objects, behaviors in which patients harmed or threatened to harm themselves, and aggressive acts directed at other individuals. However, this measure did not directly assess how nurses appraised these incidents, such as perceived threat, fear, controllability, emotional impact, coping capacity, perceived blame, or the availability of organizational and peer support after the event. ProQOL may therefore be more closely related to how violent incidents are interpreted, emotionally processed, and supported than to objective exposure severity alone.
The characteristics of the present sample may also have contributed to this pattern. Participants were currently employed mental health nurses with at least one year of clinical experience, and more than half had five or more years of nursing experience. Therefore, nurses who had left psychiatric or community mental health settings after severe or poorly supported exposure to violence were not represented. This possible retention effect may have attenuated the direct association between violence exposure and ProQOL. In addition, for nurses who remain in mental health settings despite repeated exposure to aggression, self-compassion may become particularly salient as a self-regulatory resource following violent incidents, because such events can evoke fear, helplessness, self-blame, or perceived professional failure. The small indirect association between violence exposure and compassion satisfaction through self-compassion may therefore suggest that self-relational processes are relevant to how nurses recover from aggression while maintaining meaning in their caregiving role. However, this finding should be interpreted cautiously and does not imply that exposure to violence has a beneficial effect. Future studies should assess both objective exposure and subjective appraisal, including perceived threat, coping responses, post-incident support, and recovery processes, to clarify how patient violence is associated with ProQOL.
This study offers empirical support for a more integrated understanding of ProQOL in mental health nursing, highlighting the relevance of both organizational conditions and individual psychological resources. In clinical settings, where compassion is central to patient care, promoting compassion satisfaction may be associated not only with provider well-being but also with care quality [5]. In addition to efforts to reduce self-coldness-related selfcritical response patterns, institutions may benefit from supporting the development and application of self-compassion-based strategies.
The present findings have several practical implications. Improving the work environment, particularly in areas such as staffing adequacy, leadership support, and interprofessional collaboration, through regular assessments of nurses' perceptions may be an important factor in supporting employee well-being [7]. Additionally, because mental toughness and self-compassion are modifiable characteristics, psychological skills training and selfmanagement programs may be incorporated into continuing education for nurses.
There is growing evidence that interventions incorporating components such as improved communication, assertiveness training, mindfulness practices, psychoeducation, and structured supervision are beneficial for mental health nurses. Compassion-focused therapy and mindfulness-based self-compassion programs have also been proposed as promising approaches [30]. However, empirical evidence supporting the application of these interventions in nursing populations remains limited. Therefore, prospective and intervention-based studies are required to evaluate the feasibility, effectiveness, and scalability of such programs.
Moreover, the differentiated pathways identified in this study suggest that self-compassion training may primarily enhance compassion satisfaction, while complementary strategies that directly address self-critical cognitive patterns may be needed to reduce compassion fatigue. Further research is required to elucidate the distinct mechanisms through which these emotional resources operate. From a policy perspective, there is an increasing need to adopt a preventive occupational health model that addresses both systemic stressors (e.g., patient aggression) and individual vulnerabilities (e.g., susceptibility to burnout). Therefore, nursing education curricula may benefit from incorporating structured training in self-compassion, mental toughness, and reflective practice to better prepare nurses for emotionally demanding clinical environments. Furthermore, previous research has predominantly focused on identifying protective factors that prevent burnout. Future studies should explore how to actively cultivate positive psychological states such as flourishing, meaning, and engagement in mental healthcare settings.
This study had several limitations. First, the survey measured workplace conditions, violence exposure, psychological resources, and ProQOL at a single time point. Therefore, the model cannot determine whether these factors preceded the ProQOL outcomes or reflected them.
Second, all variables were based on participants' reports. The estimates may therefore have been influenced by recall error, socially desirable responding, or commonmethod variance. Subsequent studies should combine questionnaire data with independent indicators, such as staffing records, workplace-violence incident reports, supervisor or peer ratings, and documentation of post-incident support.
Third, the MTQ-18 demonstrated limitations in its factor structure in this sample. Although the total score showed good internal consistency and was retained as a global indicator, findings related to mental toughness should not be interpreted at the subdimension level. Rather, they should be understood as reflecting overall mental toughness. Future research should further examine the construct validity, measurement invariance, and culturally appropriate interpretation of the MTQ-18 in Korean nursing populations.
Fourth, although SEM provided a more appropriate framework for modeling shared variance among correlated indicators, the substantial overlap among some observed subdimensions suggests that these facets should not be interpreted as fully independent predictors. Additionally, because the revised structural model included theory-guided but not fully prespecified modifications, the final model should be regarded as provisional and should be replicated in independent samples.
Finally, the generalizability of the findings is limited owing to the use of convenience sampling and the regional focus on Korea. Nevertheless, the core constructs are conceptually applicable across diverse healthcare settings. While the numerical estimates should be interpreted cautiously, the relational patterns identified in this study may be transferable to mental health nursing populations in other countries, particularly in environments characterized by high emotional labor and exposure to violence. Future studies should build on this model by applying it to diverse clinical settings and exploring additional psychological and contextual factors.

CONCLUSION

This study suggests that both environmental conditions and internal psychological traits jointly associated with mental health nurses' professional quality of life. A positive nursing work environment and higher levels of mental toughness were associated with greater compassion satisfaction and reduced compassion fatigue. The two-factor structure of self-compassion revealed different pathways to emotional well-being. These findings emphasize the importance of integrating structural improvements with individualized psychological support to sustain a resilient and compassionate workforce in psychiatric settings. As emotional labor is a core component of mental health nursing, future interventions should reduce stressors while actively fostering strengths such as mental toughness and self-compassion. Promoting a dual focus on external support and internal capacity building may ultimately enhance care quality while safeguarding providers' emotional sustainability.

CONFLICTS OF INTEREST

The authors have no conflicts of interest to declare.

Notes

AUTHOR CONTRIBUTIONS
Conceptualization and/or Methodology: Kim D-H & Jo H-N
Data Curation and/or Formal Analysis: Kim D-H
Funding Acquisition: None
Investigation: Jo H-N
Project Administration: Kim D-H
Resources and/or Software: Jo H-N
Validation: Jo H-N
Visualization: Kim D-H
Writing-original draft: Kim D-H
Writing-review and editing: Jo H-N

Fig. 1.
Theoretical model.
jkpmhn-2026-35-2-117f1.jpg
Fig. 2.
Results of the structural equation model.
jkpmhn-2026-35-2-117f2.jpg
Table 1.
Demographic Characteristics and Differences in Professional Quality of Life (N=184)
Variables Categories n (%) Compassion satisfaction
Compassion fatigue
M±SD F (p) M±SD F (p)
Sex Male 30 (16.3) 3.63±0.82 0.34 (.560) 2.28±0.62 1.92 (.174)
Female 154 (83.7) 3.53±0.70 2.45±0.48
Age (year) 20~29 26 (14.1) 3.48±0.76 1.14 (.354) 2.38±0.53 0.76 (.552)
30~39 71 (38.6) 3.44±0.70 2.46±0.51
40~49 47 (25.5) 3.57±0.68 2.44±0.54
50~59 33 (17.9) 3.78±0.79 2.30±0.47
Above 60 7 (3.8) 3.66±0.69 2.52±0.45
Education level Associatea 31 (16.8) 3.41±0.65 7.87 (.002) 2.46±0.46 0.15 (.924)
Bachelorb 108 (58.7) 3.48±0.73 a=b=c<d 2.40±0.49
Masterc 42 (22.8) 3.81±0.73 2.45±0.60
Doctorald 3 (1.6) 3.97±0.15 2.42±0.48
Workplace PH 145 (78.8) 3.58±0.68 1.32 (.256) 2.40±0.49 1.08 (.303)
MHC 39 (21.2) 3.41±0.86 2.50±0.58
Certification Certified 103 (56.0) 3.54±0.77 0.01 (.929) 2.43±0.50 0.13 (.713)
Not certified 81 (44.0) 3.55±0.67 2.40±0.52
Years of nursing experience Less than 2 years 27 (14.7) 3.30±0.97 1.05 (.378) 2.49±0.53 0.18 (.905)
2 to less than 3 years 24 (13.0) 3.47±0.61 2.41±0.46
3 to less than 5 years 30 (16.3) 3.59±0.58 2.39±0.53
5 years or more 103 (56.0) 3.62±0.70 2.41±0.51

Note: Welch's ANOVA was used for group comparisons. For post hoc analysis, the Games-Howell test was applied to identify significant differences between educational levels.

Cert=mental health nurse certification; M=mean; MHC=mental health center; PH=psychiatric hospital; SD=standard deviation.

Table 2.
Descriptive Statistics and Pearson's Correlations (N=184)
Variables M±SD Min Max Sk Ku 1 2 3 4 5 6 7 8 9 10 11 12 13
1. CS 3.55±0.72 1.10 5.00 -0.37 0.40
2. CF 2.42±0.51 1.00 3.70 -0.12 -0.39 -.56
3. PE-P 2.41±0.67 1.00 4.11 0.22 -0.25 .44 -.32
4. PE-F 2.53±0.60 1.00 4.00 -0.06 0.01 .46 -.32 .79
5. PE-M 2.64±0.75 1.00 4.00 -0.32 -0.47 .43 -.34 .79 .74
6. PE-S 2.25±0.66 1.00 4.00 0.11 -0.66 .39 -.26 .71 .70 .65
7. PE-C 2.62±0.66 1.00 4.00 0.09 -0.26 .43 -.33 .81 .70 .74 .68
8. ASV 7.16±4.03 0 10 -0.86 -1.08 .02 .00 -.19 -.12 -.03 -.20 -.03
9. ASO 7.95±5.97 0 14 -0.25 -1.67 .13 .01 -.16 -.08 -.01 -.15 .00 .82
10. ASS 9.07±6.93 0 18 -0.14 -1.44 .10 .02 -.15 -.05 .01 -.14 .02 .80 .86
11. ASA 9.65±7.77 0 18 -0.19 -1.69 .07 -.02 -.14 -.06 .05 -.13 .02 .76 .77 .83
12. MT 3.26±0.56 1.83 5.00 0.14 0.09 .64 -.54 .32 .30 .33 .28 .31 .02 .04 .06 .11
13. SCP 3.40±0.60 1.73 5.00 0.17 0.07 .48 -.28 .23 .26 .24 .21 .29 .16 .25 .21 .16 .49
14. SCD 1.77±0.71 0.07 3.25 -0.08 -0.73 -.44 .48 -.25 -.23 -.24 -.18 -.23 .02 -.02 -.04 -.10 -.70 -.33

Note: Correlation values represent Pearson correlation coefficients. Bold values indicate significance at p<.05.

ASA=OAS: Physical, toward others; ASO=OAS: Physical, toward objects; ASS=OAS: Physical, toward self; ASV=OAS: Verbal; CF=Compassion fatigue; CS=Compassion satisfaction; Mt=Mental toughness; PE-C=PES-NWI: Collegial Nurse-Physician Relations; PE-F=PES-NWI: Foundations; PE-M=PES-NWI: Manager Support; PE-p=PES-NWI: Participation; PE-S=PES-NWI: Staffing & Resources; SCD=self-Coldness; SCp=self-Compassion.

Table 3.
Structural Equation Modeling Results (N=184)
Direct effects Compassion satisfaction
Compassion fatigue
B SE t p β B SE t p β
WE .34 .07 4.89 <.001 .29 -.16 .06 -2.78 .005 -.19
VE .01 .01 1.04 .297 .06 .00 .01 0.27 .786 .02
MT .56 .12 4.84 <.001 .43 -.28 .10 -2.87 .004 -.30
SCP .30 .10 3.08 .002 .22 .00 .08 0.00 .997 .00
SCD .05 .10 0.52 .603 .05 .17 .08 2.17 .030 .23
Indirect effects B SE BC 95% CI
B SE BC 95% CI
LLCI ULCI p LLCI ULCI p
WE → MT → DV .19 .06 .083 .339 <.001 -.09 .04 -.193 -.022 .011
WE → SCP → DV .09 .05 .016 .203 .012 .00 .03 -.065 .050 .962
WE → SCD → DV -.02 .04 -.093 .049 .591 -.05 .04 -.145 -.006 .023
VE → MT → DV .01 .01 -.003 .026 .127 .00 .00 -.015 .001 .105
VE → SCP → DV .01 .01 .002 .028 .013 .00 .00 -.009 .007 .963
VE → SCD → DV .00 .00 -.008 .002 .432 .00 .00 -.011 .002 .242

B=unstandardized regression coefficient; DV=dependent variable; LLCI=lower limit of confidence interval; Mt=mental toughness; SCD=self-coldness; SCp=self-compassion; SE=standard error; ULCI=upper limit of confidence interval; WE=work environment; VE=violence exposure; β=standardized regression coefficient.

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