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Original Article Meaning of work in the association between traumatic events experienced and posttraumatic growth among workers in South Korea: a cross-sectional study
Miyoung Kim1,2orcid, Sang Baek Koh2orcid, Yujin Kim3,*orcid
Annals of Occupational and Environmental Medicine 2026;38:e35.
DOI: https://doi.org/10.35371/aoem.2026.38.e35
Published online: July 27, 2026

1Doctoral Program in Counseling Psychology, Graduate School of Education, Sangji University, Wonju, Korea

2Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea

3Graduate School of Peace and Security Counseling Psychology, Sangji University, Wonju, Korea

*Corresponding author: Yujin Kim Graduate School of Peace and Security Counseling Psychology, Sangji University, 83 Sangjidae-gil, Wonju 26339, Korea E-mail: kimyujin10@sangji.ac.kr
• Received: April 27, 2026   • Revised: July 14, 2026   • Accepted: July 15, 2026

© 2026 Korean Society of Occupational & Environmental Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Traumatic experiences are associated with posttraumatic stress disorder and posttraumatic growth (PTG). Although meaning-making has been emphasized in PTG, little research has examined whether the meaning of work is involved in cross-sectional indirect associations between traumatic events experienced and PTG. In South Korea, research has focused mainly on events meeting the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders (DSM), whereas events not meeting DSM criteria among workers remain underexamined.
  • Methods
    This study measured traumatic events experienced, meaning of work, and PTG in 328 workers aged 20 years or older. Traumatic events experienced were classified as events meeting DSM-5 criteria or events not meeting these criteria. Cross-sectional indirect associations were examined using SPSS 21.0 and the PROCESS Macro.
  • Results
    In cross-sectional indirect-effect models, meaning of work showed a significant indirect association between the total number of traumatic events experienced and PTG. A significant indirect association through meaning of work was also observed for events not meeting DSM criteria, whereas no significant indirect association was found for events meeting DSM criteria.
  • Conclusions
    In this worker sample, events not meeting DSM criteria were highly prevalent. Meaning of work may be cross-sectionally associated with how workers interpret and integrate such events. These exploratory findings suggest that meaning-centered approaches may complement workplace mental health interventions, although longitudinal studies are needed to test temporal and causal processes.
Human beings experience a variety of traumatic events over the course of their lives.1 Traumatic experiences have been recognized as a significant mental health issue associated with posttraumatic stress disorder (PTSD), physical symptoms, and impairments in social functioning. Although experiencing traumatic events can be accompanied by psychological distress that is difficult to recover from, it may also be associated with positive psychological changes as meaning in life and value systems are reconstructed.2 This transformation is referred to as posttraumatic growth (PTG). This is understood as a process in which individuals report new adaptation and growth while cognitively and emotionally restructuring distressing traumatic events.3-5
Existing research on traumatic events has primarily focused on events meeting the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders (DSM). Research is relatively insufficient on events not meeting DSM criteria, which are everyday in nature but can still exert a psychological impact on individuals. However, recent studies have reported that events not meeting the criteria, such as interpersonal conflict, financial difficulties, and academic failure, significantly predict PTSD symptoms and are, in fact, experienced at a higher frequency.6-10 Some events not meeting DSM criteria may conceptually overlap with work-related psychosocial hazards, such as workplace bullying and emotional labor; however, in this study, they refer more broadly to life events occurring across both work and non-work domains. These findings highlight the limitations of restricting traumatic events to DSM criteria and raise the need to expand the scope of traumatic events considered in trauma research.9,10
With growing emphasis on trauma-informed care (TIC), studies have increasingly examined the frequency and types of traumatic events experienced in general population samples.11-14 Studies in South Korea likewise report that most adults experience at least one traumatic event over the course of their lifetime and, on average, experience multiple traumatic events.6,12,15 Furthermore, the average number of traumatic events experienced has shown a continuous upward trend. This suggests that the patterns of traumatic events experienced are also evolving amid social and environmental changes.8,12,13,15
Additionally, research on traumatic events has moved beyond whether individuals experienced such events to examine how these events are associated with psychological adjustment and quality of life. Studies on PTG emphasize that PTG is not determined solely by the number of traumatic events experienced; rather, psychological and social processes such as meaning reconstruction, rumination, and social support are considered relevant explanatory processes.16,17
In this context, meaning-making is regarded as an important process related to PTG.17-19 Previous research has examined PTG mainly in relation to meaning in life.20 Individuals with a stronger sense of meaning in life are more likely to reinterpret traumatic experiences positively and transform them into growth.21,22 However, meaning-making occurs within specific life contexts, and work is one of the central domains shaping adult life.23
Work is not merely a means of livelihood but an important psychosocial domain that provides opportunities for identity formation, maintenance of social relationships, and self-realization. In the psychology of working theory, individuals satisfy not only survival needs but also needs for social connectedness and self-determination through work, which is closely related to mental well-being.24 In fact, a growing body of research indicates that a higher perceived meaning of work is associated with greater life satisfaction, psychological flourishing, and mental health.25 By contrast, traumatic experiences can negatively affect occupational identity and role functioning, thereby influencing work adjustment and psychological stability.26
Therefore, in understanding the relationship between traumatic events experienced and PTG among workers, the meaning of work may be an important work-related factor involved in indirect associations.27,28 A positive relationship between occupational calling and PTG has also been identified.29 Furthermore, qualitative research suggests that individuals may report PTG while reinterpreting traumatic experiences through work, including restoring self-efficacy, rebuilding interpersonal trust, and contributing to others.30
Even when traumatic events experienced by workers are not directly work-related, workers may reinterpret and integrate such events through work, as work represents a central domain for adult identity, social roles, and competence. Thus, the meaning of work may be a context-specific meaning-making resource that is related to workers’ sense of self-worth and life continuity following such events.
Nevertheless, research directly analyzing the meaning of work in the relationship between traumatic events experienced and PTG remains very limited. Prior studies have primarily focused on specific occupational groups (e.g., firefighters, healthcare workers) or clinical populations, with relatively few studies targeting general workers. Moreover, research that distinguishes between events meeting DSM criteria and those not meeting DSM criteria when analyzing differences in their effects is also insufficient.
Therefore, this study examined the types and frequency of traumatic events experienced among workers and explored whether the meaning of work was involved in cross-sectional indirect associations between traumatic events experienced and PTG. By distinguishing between events meeting DSM criteria and those not meeting DSM criteria, the study aimed to clarify whether patterns of association with PTG differed by event type.
Study design and participants
This cross-sectional survey examined indirect associations through meaning of work between traumatic events experienced by workers and PTG. Data were collected from September 4 to 14, 2025, using a self-report questionnaire administered via Google Forms through a professional online survey panel targeting workers aged 20 years or older.
A total of 357 responses were collected, and 328 were included in the final analysis after excluding 29 insincere responses. The final sample comprised 175 males (53.4%) and 153 females (46.6%), with a mean age of 39.3 years (standard deviation [SD]: 10.7).
Measurement
Traumatic events experienced were assessed using a list of traumatic events classified by Lee and Lee.6 The questionnaire was developed by modifying and supplementing the Life Events Checklist for DSM-5 (LEC-5)31 and the Korean version of the Lifetime Stressor Checklist-Revised (LSC-R-K).32 In this study, only directly experienced events were included in the analysis: 13 events meeting DSM diagnostic criteria and 22 events not meeting DSM criteria from the total list of 35 events.
PTG was measured using the Korean version of the Posttraumatic Growth Inventory-Expanded (PTGI-X).33 This scale consists of 25 items across five subfactors, with higher scores indicating higher levels of PTG. In this study, the internal consistency (Cronbach’s α) was 0.98.
The meaning of work was measured using the Korean version of the Work and Meaning Inventory (K-WAMI).34 This scale comprises 10 items that assess workers’ perceived meaning, value, and purpose in their work, with higher scores indicating greater perceived meaning of work. In this study, the internal consistency (Cronbach’s α) was 0.93.
Statistical analysis
Data were analyzed using SPSS version 21.0 (IBM Corp., Armonk, NY, USA) and Hayes’ PROCESS Macro (v4.2).35 First, frequency analysis was conducted to examine the frequency of traumatic events experienced. Next, means, SD, skewness, kurtosis, and correlation coefficients were calculated for the main variables. The assumption of normality was evaluated using criteria of an absolute skewness value of 2 and an absolute kurtosis value of 7.36
To examine statistical indirect associations through meaning of work, PROCESS Macro Model 4 was employed with 5,000 bootstrap samples and 95% confidence intervals. The analyses were conducted in parallel across three models, with the total number of traumatic events experienced, the number of events meeting DSM criteria, and the number of events not meeting DSM criteria entered as independent variables, respectively.
Model explanatory power was evaluated using R² values. Multicollinearity was assessed using tolerance and variance inflation factor (VIF).
Ethics statement
The present study was reviewed and approved by the Institutional Review Board of Wonju Severance Christian Hospital (IRB No. CR326045). All participants provided electronic informed consent before completing the survey.
General characteristics of the participants
The general characteristics of the participants are presented in Table 1. Among the total of 328 participants, office workers comprised the largest group (n = 178, 54.3%), followed by service (n = 64, 19.5%), production (n = 29, 8.8%), care and welfare (n = 24, 7.3%), education (n = 17, 5.2%), and healthcare (n = 16, 4.9%). Company size was relatively evenly distributed across large enterprises (n = 105, 32.0%), small and medium-sized enterprises (n = 104, 31.7%), and small businesses (n = 119, 36.3%). The mean years of service was 11.5 years (SD: 8.5).
Frequency of traumatic events experienced
The frequency of traumatic events directly experienced is presented in Table 2. Among events meeting DSM criteria, the most frequently reported were exposure to toxic substances (46.6%), causing serious injury or death to another person (45.1%), fire or explosion (44.2%), serious accidents (43.9%), and transportation accidents (41.2%). Among events not meeting DSM criteria, the most frequently reported were parental divorce or conflict (44.5%), academic failure or difficulties (43.9%), conflict with teachers (43.9%), emotional or physical abuse or neglect (43.6%), and conflict with a romantic partner (43.0%).
Among the participants, four reported no direct experience of any of the 13 events meeting DSM criteria. The mean number of events experienced per participant was 3.79 for events meeting DSM criteria, 7.78 for events not meeting DSM criteria, and 11.58 for the total traumatic events experienced. The number of events not meeting DSM criteria ranged from 3 to 14.
Descriptive statistics and correlation analysis
The descriptive statistics and correlation analysis results for the main variables are presented in Table 3. The total number of traumatic events experienced showed significant positive correlations with both the meaning of work and PTG. The meaning of work was significantly positively correlated with the number of events not meeting DSM criteria and with PTG, but was not significantly correlated with the number of events meeting DSM criteria. PTG showed positive correlations with the total number of traumatic events experienced, the number of events meeting DSM criteria, the number of events not meeting DSM criteria, and the meaning of work.
Indirect associations through meaning of work
The R² values for the mediator models predicting meaning of work were 0.0632 for the total number of traumatic events experienced, 0.0094 for events meeting DSM criteria, and 0.0620 for events not meeting DSM criteria. Multicollinearity was not indicated, with tolerance values ranging from 0.937 to 0.991 and VIF values ranging from 1.009 to 1.067.
In the model with the total number of traumatic events experienced as the independent variable, this variable was significantly positively associated with meaning of work (β = 0.7295, p < 0.001), and meaning of work was also significantly positively associated with PTG (β = 1.4402, p < 0.001). The direct association between the total number of traumatic events experienced and PTG remained significant after including meaning of work (β = 1.0695, p = 0.036). The 95% confidence interval for the statistical indirect association ranged from 0.5807 to 1.5651 and did not include 0 (Table 4).
In the model with the number of events not meeting DSM criteria as the independent variable, this variable was significantly positively associated with meaning of work (β = 0.8884, p < 0.001), and meaning of work was significantly positively associated with PTG (β = 1.4705, p < 0.001). After including meaning of work, the direct association between the number of events not meeting DSM criteria and PTG was not significant (β = 0.9196, p = 0.148). The 95% confidence interval for the statistical indirect association ranged from 0.7166 to 2.0012 and did not include 0 (Table 5).
In the model with the number of events meeting DSM criteria as the independent variable, neither the association between this variable and meaning of work (β = 0.5001, p = 0.080) nor the association with PTG after including meaning of work (β = 1.4221, p = 0.107) was statistically significant. The 95% confidence interval for the indirect effect ranged from −0.0944 to 1.6916 and included 0, indicating that no significant indirect association through meaning of work was found (Table 6).
The mean number of traumatic events experienced in this worker sample was 11.58, higher than the 4.5 reported by Chae (2022)13 and the 9.19 reported by Son et al. (2025)12.
The number of events not meeting DSM criteria was 7.78, which is higher than the mean number of events meeting DSM criteria (3.79), consistent with prior studies suggesting that events not meeting DSM criteria are also important factors related to adaptation among Korean adults.6,8 In terms of event types, the worker sample presented high frequencies not only for events meeting DSM criteria—such as exposure to toxic substances, fire or explosion, and transportation accidents—but also for events not meeting DSM criteria, including parental conflict, academic failure, conflict with teachers, and emotional or physical abuse or neglect. This suggests that restricting trauma assessment to events meeting DSM criteria makes it difficult to adequately capture the cumulative stress-related and relational events that occur in real-life contexts.9,10 It further supports the need for research and policy responses that encompass various traumatic events, particularly the development of TIC, beyond existing approaches centered on events meeting DSM criteria.9,37
The types of traumatic events experienced by workers presented some differences from the findings of Kim et al. (2019)38 and Lee and Lee (2024)6. These differences may be attributable to variations in participant characteristics, timing of the survey, or the criteria used to classify traumatic events. Moreover, the distribution of traumatic events experienced may vary depending on temporal, social, and environmental conditions, rather than being fixed to specific events. However, it is also possible that these differences are influenced by variations in the composition of traumatic event lists; therefore, future studies should conduct comparative research using more standardized measurement instruments.
The cross-sectional indirect-association analysis showed significant indirect associations through meaning of work in the models involving the total number of traumatic events experienced and events not meeting DSM criteria. These findings suggest that the association between the number of traumatic events experienced and PTG may not be understood solely in terms of event frequency; how workers interpret and integrate such events within life and work contexts may also be relevant. In particular, events not meeting DSM criteria may be associated with PTG when such events are interpreted through the meaning of work.17,19,20,25,28,29
By contrast, no significant indirect association through meaning of work was found for events meeting DSM criteria. This result should be interpreted in light of the non-significant association between events meeting DSM criteria and meaning of work (r = 0.097, p > 0.05) and the very low explanatory power of the model predicting meaning of work (R² = 0.0094). Similarly, Kim et al. (2019)38 reported that events meeting DSM criteria did not significantly predict PTG and that the indirect association through problem-focused coping was not significant. Although one possible explanation is that DSM-criterion events may be associated with psychological processes less closely tied to work-related meaning-making, this possibility was not directly tested because the present study did not assess trauma severity, diagnostic status, or time since trauma. Therefore, this interpretation should be regarded as a hypothesis for future research rather than a conclusion of the present study. This finding suggests the need for future research to examine characteristics of traumatic events, such as severity, in understanding not only PTSD but also PTG.9
These findings are consistent with research linking meaning in life and meaningful work to psychological adjustment and growth.23-26 However, because meaning in life was not measured, this study cannot determine whether meaning of work has a unique role beyond global meaning in life.16,21,22 Furthermore, the findings are consistent with theories suggesting that traumatic experiences may be associated with PTG through processes of interpretation and meaning-making.2,4,18 Finally, this study suggests that meaning-making may be relevant not only to meaning in life but also to the work context.19,28-30
In sum, these findings suggest that the association between traumatic events experienced and PTG may differ by event type. In particular, meaning of work was involved in significant cross-sectional indirect associations between events not meeting DSM criteria and PTG, suggesting that work-related meaning may be relevant to how workers interpret and integrate such events. This study contributes to PTG research by examining work-related meaning as a context-specific factor and by including events not meeting DSM criteria in analyses of traumatic events experienced by workers.
From a practical perspective, meaning-centered approaches should be understood as complementary to, rather than substitutes for, organizational prevention and clinical support. In workplace mental health interventions, priority should be given to preventing hazardous exposures, reducing psychosocial risks such as workplace bullying and excessive emotional labor, and ensuring access to appropriate psychological or medical care. Emphasizing the meaning of work should not be interpreted as encouraging early return to work, increasing work demands, or placing responsibility for recovery solely on individual workers. Within a safe and supportive organizational context, meaning-centered practices may include structured reflection on work values, opportunities to discuss role purpose and contribution, or integration of meaning-of-work components into broader psychosocial support programs. These practices should be considered one component of broader psychosocial support rather than a stand-alone intervention for workers' mental health. PTG should not be interpreted as an expected or required outcome after trauma. For workers experiencing persistent distress, symptom stabilization, safety, and professional support should be prioritized over growth-oriented approaches.
However, this study has several limitations. First, because this study used a cross-sectional design, temporal or causal relationships among traumatic events experienced, meaning of work, and PTG cannot be established. Reverse or reciprocal associations are also possible; for example, workers with higher PTG may retrospectively attribute greater meaning to their work.
Second, owing to issues related to the standardization of traumatic event measurement instruments, there are limitations in making comparisons across studies. Sufficient consistency in measurement has not been ensured because various traumatic event scales are often combined or event lists are expanded and modified. Future research should employ more standardized instruments for validation. Third, participants were recruited through a professional online survey panel over a relatively short period, which may have introduced selection bias related to internet access, motivation to participate, or psychological characteristics. In addition, office workers accounted for more than half of the sample, whereas other occupational groups were relatively underrepresented. Therefore, the demographic and occupational composition of the sample may have influenced the observed patterns of traumatic events experienced and may limit the generalizability of the findings to the broader working population.
Finally, traumatic events experienced were not distinguished by domain, such as work-related versus personal domains. Future research should examine domain-specific traumatic events and their associations with PTG across industries. The present models were intentionally parsimonious, consisting of a single predictor, meaning of work, and PTG, and did not control for trauma-related or psychosocial factors such as elapsed time since trauma, perceived trauma severity, social support, baseline mental health status, organizational support, and personality traits. Therefore, the possibility that these unmeasured factors influenced the observed associations cannot be excluded, and the findings should be interpreted with caution. Therefore, the observed indirect associations should be interpreted as constrained and preliminary estimates rather than as a comprehensive explanatory model of PTG among workers. Exploring additional psychosocial variables associated with the relationship between traumatic events experienced and PTG is important, particularly because no significant indirect association through meaning of work was found for events meeting DSM criteria. Future studies should employ more comprehensive longitudinal or multivariable models that include trauma-related characteristics, meaning in life, social support, organizational support, baseline mental health status, and personality factors.
Traumatic events experienced were widely reported in this worker sample, particularly events not meeting DSM criteria. Meaning of work was associated with PTG and showed a significant cross-sectional indirect association in the relationship between events not meeting DSM criteria and PTG. These exploratory findings suggest that meaning of work may be relevant to how workers interpret and integrate such events, particularly events not meeting DSM criteria. However, longitudinal and more comprehensive studies are needed before drawing conclusions about temporal ordering, causal mediation, or intervention effects. Workplace mental health strategies should prioritize organizational prevention, safe working environments, and access to appropriate clinical support, while meaning-centered approaches may be considered as complementary support.

DSM

Diagnostic and Statistical Manual of Mental Disorders

K-WAMI

Korean version of the Work and Meaning Inventory

LEC-5

Life Events Checklist for DSM-5

LSC-R-K

Korean version of the Lifetime Stressor Checklist-Revised

PTG

posttraumatic growth

PTGI-X

Posttraumatic Growth Inventory-Expanded

PTSD

posttraumatic stress disorder

SD

standard deviation

TIC

trauma-informed care

VIF

variance inflation factor

Funding

The article processing charge (APC) for this publication was supported by the National Research Foundation of Korea (NRF) (Grant No. RS-2025-25462906).

Competing interests

Sang Baek Koh, a contributing editor of the Annals of Occupational and Environmental Medicine, was not involved in the ed­itorial evaluation or decision to publish this article. All remaining authors have declared no conflicts of interest.

Author contributions

Conceptualization: Kim M, Koh SB, Kim Y. Data curation: Kim M. Funding acquisition: Koh SB. Methodology/formal analysis/validation: Kim M, Kim Y. Project administration: Kim M. Writing - original draft: Kim M. Writing - review & editing: Kim M, Koh SB, Kim Y.

Table 1.
Participant characteristics (n = 328)
Characteristic No. (%)
Age (years) 39.3 ± 10.7
Sex
 Male 175 (53.4)
 Female 153 (46.6)
Education
 High school or below 32 (9.8)
 Junior college 106 (32.3)
 College graduate or above 190 (57.9)
Religion
 Yes 126 (38.4)
 No 202 (61.6)
Marital status
 Single 123 (37.5)
 Married 187 (57.0)
 Cohabiting 11 (3.4)
 Divorced/separated/widowed 7 (2.1)
Occupation
 Office 178 (54.3)
 Production 29 (8.8)
 Service 64 (19.5)
 Care and welfare 24 (7.3)
 Healthcare 16 (4.9)
 Education 17 (5.2)
Company size
 Large enterprises 105 (32.0)
 Small and medium-sized enterprises 104 (31.7)
 Small businesses 119 (36.3)
Years of service 11.5 ± 8.5

Values are presented as number (%) or mean ± standard deviation.

Table 2.
Frequency of traumatic events directly experienced (n = 328)
Event No. (%)
Events meeting DSM criteria
 Natural disasters (floods, typhoons, storms, earthquakes) 135 (41.2)
 Fire or explosion 145 (44.2)
 Transportation accidents (car, train, ship, airplane crash, etc.) 135 (41.2)
 Serious accidents (at work, during leisure, at home) 144 (43.9)
 Exposure to toxic substances (hazardous chemicals, radiation) 153 (46.6)
 Physical assault (being hit, slapped, kicked, or beaten) 128 (39.0)
 Assault with a weapon (gun, knife, bomb) 0 (0)
 Sexual violence 0 (0)
 War exposure 0 (0)
 Captivity (kidnapping, abduction, hostage situation, prisoner of war) 0 (0)
 Life-threatening illness or injury 131 (39.9)
 Severe hardship such as frequent hunger, forced labor, homelessness 126 (38.4)
 Causing serious injury or death to another person 148 (45.1)
Events not meeting DSM criteria
 Academic failure or difficulties 144 (43.9)
 Unwanted and uncomfortable sexual experiences 134 (40.9)
 Parental divorce or conflict 146 (44.5)
 Severe conflict with family 127 (38.7)
 Experiences of bullying or victimization 125 (38.1)
 Peer conflict (not involving one-sided bullying or victimization) 129 (39.3)
 Maladjustment to school life 134 (40.9)
 Serious illness of a family member or close acquaintance (e.g., cancer, heart disease) 125 (38.1)
 Severe financial difficulties 133 (40.5)
 Conflict with a romantic partner (e.g., breakup, betrayal) 141 (43.0)
 Illness or injury that interferes with daily life 140 (42.7)
 Negative experiences related to infectious diseases (e.g., COVID-19) 136 (41.5)
 Distressing events encountered through the media or others 134 (40.9)
 Shock due to the death of a celebrity 123 (37.5)
 Conflict with teachers 144 (43.9)
 Incarceration of oneself or a family member 0 (0)
 Placement in a child protection facility or experience of adoption 0 (0)
 Emotional or physical abuse or neglect 143 (43.6)
 Caring for a family member with a severe disability or illness 123 (37.5)
 Parental infidelity 0 (0)
 Bereavement due to the death of a close person 135 (41.2)
 Other highly stressful events or experiences 139 (42.4)

Values are presented as number (%). Only direct experiences were analyzed; multiple responses were allowed.

DSM: Diagnostic and Statistical Manual of Mental Disorders; COVID-19: coronavirus disease 2019.

Table 3.
Descriptive statistics and correlations (n = 328)
Variable 1 2 3 4 5
1. Total traumatic events experienced 1
2. Events meeting DSM criteria 0.599** 1
3. Events not meeting DSM criteria 0.827** 0.045 1
4. Meaning of work 0.251** 0.097 0.245** 1
5. Posttraumatic growth 0.213** 0.123* 0.179** 0.446** 1
Mean 11.58 3.79 7.78 26.08 90.04
SD 2.60 1.46 2.09 7.57 26.01
Skewness –0.044 0.025 0.080 0.092 –0.066
Kurtosis –0.178 –0.232 –0.306 –0.052 –0.082

DSM: Diagnostic and Statistical Manual of Mental Disorders; SD: standard deviation.

*p < 0.05,

**p < 0.01.

Table 4.
Mediation model for the total number of traumatic events experienced
Variable β SE t p-value LLCI ULCI
Mediation model (DV = meaning of work)
 Constant 17.634 1.848 9.543 <0.001 13.999 21.269
 Total traumatic events experienced 0.730 0.156 4.688 <0.001 0.423 1.036
Dependent variable model (DV = posttraumatic growth)
 Constant 40.090 6.603 6.072 <0.001 27.101 53.079
 Total traumatic events experienced 1.070 0.508 2.106 0.036 0.070 2.069
 Meaning of work 1.440 0.175 8.232 <0.001 1.096 1.784
Effect estimates
 Total effect 2.120 0.537 — — 1.059 3.182
 Direct effect 1.070 0.508 — — 0.070 2.069
 Indirect effect 1.051 0.255 — — 0.581 1.565

Indirect effects were estimated using 5,000 bootstrap samples.

SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.

Table 5.
Mediation model for events not meeting DSM criteria
Variable β SE t p-value LLCI ULCI
Mediation model (DV = meaning of work)
 Constant 19.165 1.568 12.224 <0.001 16.081 22.249
 Events not meeting DSM criteria 0.888 0.194 4.570 <0.001 0.506 1.271
Dependent variable model (DV = posttraumatic growth)
 Constant 44.527 5.993 7.430 <0.001 32.737 56.317
 Events not meeting DSM criteria 0.920 0.635 1.449 0.148 –0.329 2.168
 Meaning of work 1.471 0.175 8.388 <0.001 1.126 1.815
Effect estimates
 Total effect 2.226 0.678 — — 0.893 3.559
 Direct effect 0.920 0.635 — — –0.329 2.168
 Indirect effect 1.306 0.331 — — 0.717 2.001

Indirect effects were estimated using 5,000 bootstrap samples.

DSM: Diagnostic and Statistical Manual of Mental Disorders; SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.

Table 6.
Mediation model for events meeting DSM criteria
Variable β SE t p-value LLCI ULCI
Mediation model (DV = meaning of work)
 Constant 24.187 1.157 20.912 <0.001 21.912 26.463
 Events meeting DSM criteria 0.500 0.284 1.759 0.080 –0.059 1.059
Dependent variable model (DV = posttraumatic growth)
 Constant 45.365 5.452 8.320 <0.001 34.638 56.091
 Events meeting DSM criteria 1.422 0.880 1.616 0.107 –0.309 3.153
 Meaning of work 1.506 0.171 8.827 <0.001 1.170 1.842
Effect estimates
 Total effect 2.175 0.974 — — 0.260 4.090
 Direct effect 1.422 0.880 — — –0.309 3.153
 Indirect effect 0.753 0.452 — — –0.094 1.692

Indirect effects were estimated using 5,000 bootstrap samples.

DSM: Diagnostic and Statistical Manual of Mental Disorders; SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.

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        Meaning of work in the association between traumatic events experienced and posttraumatic growth among workers in South Korea: a cross-sectional study
        Ann Occup Environ Med. 2026;38:e35  Published online July 27, 2026
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      Meaning of work in the association between traumatic events experienced and posttraumatic growth among workers in South Korea: a cross-sectional study
      Meaning of work in the association between traumatic events experienced and posttraumatic growth among workers in South Korea: a cross-sectional study
      Characteristic No. (%)
      Age (years) 39.3 ± 10.7
      Sex
       Male 175 (53.4)
       Female 153 (46.6)
      Education
       High school or below 32 (9.8)
       Junior college 106 (32.3)
       College graduate or above 190 (57.9)
      Religion
       Yes 126 (38.4)
       No 202 (61.6)
      Marital status
       Single 123 (37.5)
       Married 187 (57.0)
       Cohabiting 11 (3.4)
       Divorced/separated/widowed 7 (2.1)
      Occupation
       Office 178 (54.3)
       Production 29 (8.8)
       Service 64 (19.5)
       Care and welfare 24 (7.3)
       Healthcare 16 (4.9)
       Education 17 (5.2)
      Company size
       Large enterprises 105 (32.0)
       Small and medium-sized enterprises 104 (31.7)
       Small businesses 119 (36.3)
      Years of service 11.5 ± 8.5
      Event No. (%)
      Events meeting DSM criteria
       Natural disasters (floods, typhoons, storms, earthquakes) 135 (41.2)
       Fire or explosion 145 (44.2)
       Transportation accidents (car, train, ship, airplane crash, etc.) 135 (41.2)
       Serious accidents (at work, during leisure, at home) 144 (43.9)
       Exposure to toxic substances (hazardous chemicals, radiation) 153 (46.6)
       Physical assault (being hit, slapped, kicked, or beaten) 128 (39.0)
       Assault with a weapon (gun, knife, bomb) 0 (0)
       Sexual violence 0 (0)
       War exposure 0 (0)
       Captivity (kidnapping, abduction, hostage situation, prisoner of war) 0 (0)
       Life-threatening illness or injury 131 (39.9)
       Severe hardship such as frequent hunger, forced labor, homelessness 126 (38.4)
       Causing serious injury or death to another person 148 (45.1)
      Events not meeting DSM criteria
       Academic failure or difficulties 144 (43.9)
       Unwanted and uncomfortable sexual experiences 134 (40.9)
       Parental divorce or conflict 146 (44.5)
       Severe conflict with family 127 (38.7)
       Experiences of bullying or victimization 125 (38.1)
       Peer conflict (not involving one-sided bullying or victimization) 129 (39.3)
       Maladjustment to school life 134 (40.9)
       Serious illness of a family member or close acquaintance (e.g., cancer, heart disease) 125 (38.1)
       Severe financial difficulties 133 (40.5)
       Conflict with a romantic partner (e.g., breakup, betrayal) 141 (43.0)
       Illness or injury that interferes with daily life 140 (42.7)
       Negative experiences related to infectious diseases (e.g., COVID-19) 136 (41.5)
       Distressing events encountered through the media or others 134 (40.9)
       Shock due to the death of a celebrity 123 (37.5)
       Conflict with teachers 144 (43.9)
       Incarceration of oneself or a family member 0 (0)
       Placement in a child protection facility or experience of adoption 0 (0)
       Emotional or physical abuse or neglect 143 (43.6)
       Caring for a family member with a severe disability or illness 123 (37.5)
       Parental infidelity 0 (0)
       Bereavement due to the death of a close person 135 (41.2)
       Other highly stressful events or experiences 139 (42.4)
      Variable 1 2 3 4 5
      1. Total traumatic events experienced 1
      2. Events meeting DSM criteria 0.599** 1
      3. Events not meeting DSM criteria 0.827** 0.045 1
      4. Meaning of work 0.251** 0.097 0.245** 1
      5. Posttraumatic growth 0.213** 0.123* 0.179** 0.446** 1
      Mean 11.58 3.79 7.78 26.08 90.04
      SD 2.60 1.46 2.09 7.57 26.01
      Skewness –0.044 0.025 0.080 0.092 –0.066
      Kurtosis –0.178 –0.232 –0.306 –0.052 –0.082
      Variable β SE t p-value LLCI ULCI
      Mediation model (DV = meaning of work)
       Constant 17.634 1.848 9.543 <0.001 13.999 21.269
       Total traumatic events experienced 0.730 0.156 4.688 <0.001 0.423 1.036
      Dependent variable model (DV = posttraumatic growth)
       Constant 40.090 6.603 6.072 <0.001 27.101 53.079
       Total traumatic events experienced 1.070 0.508 2.106 0.036 0.070 2.069
       Meaning of work 1.440 0.175 8.232 <0.001 1.096 1.784
      Effect estimates
       Total effect 2.120 0.537 — — 1.059 3.182
       Direct effect 1.070 0.508 — — 0.070 2.069
       Indirect effect 1.051 0.255 — — 0.581 1.565
      Variable β SE t p-value LLCI ULCI
      Mediation model (DV = meaning of work)
       Constant 19.165 1.568 12.224 <0.001 16.081 22.249
       Events not meeting DSM criteria 0.888 0.194 4.570 <0.001 0.506 1.271
      Dependent variable model (DV = posttraumatic growth)
       Constant 44.527 5.993 7.430 <0.001 32.737 56.317
       Events not meeting DSM criteria 0.920 0.635 1.449 0.148 –0.329 2.168
       Meaning of work 1.471 0.175 8.388 <0.001 1.126 1.815
      Effect estimates
       Total effect 2.226 0.678 — — 0.893 3.559
       Direct effect 0.920 0.635 — — –0.329 2.168
       Indirect effect 1.306 0.331 — — 0.717 2.001
      Variable β SE t p-value LLCI ULCI
      Mediation model (DV = meaning of work)
       Constant 24.187 1.157 20.912 <0.001 21.912 26.463
       Events meeting DSM criteria 0.500 0.284 1.759 0.080 –0.059 1.059
      Dependent variable model (DV = posttraumatic growth)
       Constant 45.365 5.452 8.320 <0.001 34.638 56.091
       Events meeting DSM criteria 1.422 0.880 1.616 0.107 –0.309 3.153
       Meaning of work 1.506 0.171 8.827 <0.001 1.170 1.842
      Effect estimates
       Total effect 2.175 0.974 — — 0.260 4.090
       Direct effect 1.422 0.880 — — –0.309 3.153
       Indirect effect 0.753 0.452 — — –0.094 1.692
      Table 1. Participant characteristics (n = 328)

      Values are presented as number (%) or mean ± standard deviation.

      Table 2. Frequency of traumatic events directly experienced (n = 328)

      Values are presented as number (%). Only direct experiences were analyzed; multiple responses were allowed.

      DSM: Diagnostic and Statistical Manual of Mental Disorders; COVID-19: coronavirus disease 2019.

      Table 3. Descriptive statistics and correlations (n = 328)

      DSM: Diagnostic and Statistical Manual of Mental Disorders; SD: standard deviation.

      p < 0.05,

      p < 0.01.

      Table 4. Mediation model for the total number of traumatic events experienced

      Indirect effects were estimated using 5,000 bootstrap samples.

      SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.

      Table 5. Mediation model for events not meeting DSM criteria

      Indirect effects were estimated using 5,000 bootstrap samples.

      DSM: Diagnostic and Statistical Manual of Mental Disorders; SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.

      Table 6. Mediation model for events meeting DSM criteria

      Indirect effects were estimated using 5,000 bootstrap samples.

      DSM: Diagnostic and Statistical Manual of Mental Disorders; SE: standard error; LLCI: lower limit of the 95% confidence interval; ULCI: upper limit of the 95% confidence interval; DV: dependent variable.


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