Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis.

OBJECTIVE: This study was to evaluate measurement properties of the Chinese version of the Brief Inventory of Perceived Stress (BIPS-C) and confirm possible solutions for measuring the constructs underlying perceived stress. METHODS: A total of 1356 community residents enrolled and were randomly split into two halves. The first half was used to explore the underlying constructs of the BIPS-C by exploratory graph analysis (EGA) and the second half was used to compare and confirm the constructs by confirmatory factor analysis (CFA). RESULTS: The EGA identified a one-factor model of the BIPS-C with an accuracy of 99.3%. One-factor, three-factor, second-order, and bifactor models were compared by CFAs. The bifactor model with one general and three specific factors was found to be the most adequate [comparative fit index (CFI) = 0.990; Tucker-Lewis index (TLI) = 0.979; root mean square error of approximation (RMSEA) = 0.058] and was superior to the other models. The related bifactor indices showed a stronger existence of the general factor. The bifactor model of the BIPS-C also showed adequate internal consistency with McDonald's omega and omega subscales ranging from moderate to strong (0.677-0.869). CONCLUSION: The BIPS-C demonstrates sufficient measurement properties for assessing general perceived stress.

Development and validation of 10-year risk prediction models of cardiovascular disease in Chinese type 2 diabetes mellitus patients in primary care using interpretable machine learning-based methods.

AIM: To develop 10-year cardiovascular disease (CVD) risk prediction models in Chinese patients with type 2 diabetes mellitus (T2DM) managed in primary care using machine learning (ML) methods. METHODS: In this 10-year population-based retrospective cohort study, 141 516 Chinese T2DM patients aged 18 years or above, without history of CVD or end-stage renal disease and managed in public primary care clinics in 2008, were included and followed up until December 2017. Two-thirds of the patients were randomly selected to develop sex-specific CVD risk prediction models. The remaining one-third of patients were used as the validation sample to evaluate the discrimination and calibration of the models. ML-based methods were applied to missing data imputation, predictor selection, risk prediction modelling, model interpretation, and model evaluation. Cox regression was used to develop the statistical models in parallel for comparison. RESULTS: During a median follow-up of 9.75 years, 32 445 patients (22.9%) developed CVD. Age, T2DM duration, urine albumin-to-creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), systolic blood pressure variability and glycated haemoglobin (HbA1c) variability were the most important predictors. ML models also identified nonlinear effects of several predictors, particularly the U-shaped effects of eGFR and body mass index. The ML models showed a Harrell's C statistic of >0.80 and good calibration. The ML models performed significantly better than the Cox regression models in CVD risk prediction and achieved better risk stratification for individual patients. CONCLUSION: Using routinely available predictors and ML-based algorithms, this study established 10-year CVD risk prediction models for Chinese T2DM patients in primary care. The findings highlight the importance of renal function indicators, and variability in both blood pressure and HbA1c as CVD predictors, which deserve more clinical attention. The derived risk prediction tools have the potential to support clinical decision making and encourage patients towards self-care, subject to further research confirming the models' feasibility, acceptability and applicability at the point of care.

Fear in general populations: A cross-sectional study on perceived fear of common diseases, COVID-19, life events, and environmental threats in 30 countries.

Background: In this study, we assessed the general population's fears towards various diseases and events, aiming to inform public health strategies that balance health-seeking behaviours. Methods: We surveyed adults from 30 countries across all World Health Organization (WHO) regions between July 2020 and August 2021. Participants rated their fear of 11 factors on an 11-point Likert scale. We stratified the data by age and gender and examined variations across countries and regions through multidimensional preference analysis. Results: Of the 16 512 adult participants, 62.7% (n = 10 351) were women. The most feared factor was the loss of family members, reported by 4232 participants (25.9%), followed by cancer (n = 2248, 13.7%) and stroke (n = 1416, 8.7%). The highest weighted fear scores were for loss of family members (mean (x̄) = 7.46, standard deviation (SD) = 3.04), cancer (x̄ = 7.00, SD = 3.09), and stroke (x̄ = 6.61, SD = 3.24). The least feared factors included animals/insects (x̄ = 3.72, SD = 2.96), loss of a mobile phone (x̄ = 4.27, SD = 2.98), and social isolation (x̄ = 4.83, SD = 3.13). Coronavirus disease 2019 (COVID-19) was the sixth most feared factor (x̄ = 6.23, SD = 2.92). Multidimensional preference analyses showed distinct fears of COVID-19 and job loss in Australia and Burundi. The other countries primarily feared loss of family members, cancer, stroke, and heart attacks; this ranking was consistent across WHO regions, economic levels, and COVID-19 severity levels. Conclusions: Fear of family loss can improve public health messaging, highlighting the need for bereavement support and the prevention of early death-causing diseases. Addressing cancer fears is crucial to encouraging the use of preventive services. Fear of non-communicable diseases remains high during health emergencies. Top fears require more resources and countries with similar concerns should collaborate internationally for effective fear management.

Comparative effect of Tai Chi and aerobic exercise on cognitive function in advanced lung cancer survivors with perceived cognitive impairment: a three-arm randomized controlled trial with mediation analysis.

PURPOSE: Cancer-related cognitive impairment is prevalent in metastatic lung cancer survivors. This study aimed to compare the effectiveness of aerobic exercise and Tai Chi on perceived cognitive function and the mediating role of psychoneurological symptoms with perceived cognitive impairment. METHODS: In a subgroup of a parent randomized clinical trial, participants who reported cognitive impairment underwent a 16-week aerobic exercise (n = 49), Tai Chi (n = 48), and control (n = 54) groups. Measures included perceived cognitive function and psychoneurological symptoms (sleep disturbance, fatigue, anxiety, and depression) assessed at baseline (T0), 16-week (T1), and 1 year (T2). RESULTS: Participants in Tai Chi showed significant improvements compared to aerobic exercise and control groups in perceived cognitive function at T1 (AE: between-group difference, 6.52; P < 0.001; CG: 8.34; P < 0.001) and T2 (AE: between-group difference, 3.55; P = 0.05; CG: 5.94; P < 0.001). Sleep disturbance, fatigue, anxiety, and depression at month 12 explained 24%, 31%, 32%, and 24% of the effect of the intervention on cognitive function at month 12, respectively. Only anxiety at month 4 explained 23% of the intervention effect at month 12. CONCLUSIONS: Tai Chi demonstrated beneficial effects on cognitive function in advanced lung cancer survivors with perceived cognitive impairment. Improvement in cognitive function was mediated by reducing sleep disturbance, fatigue, anxiety, and depression, highlighting the importance of addressing these symptoms in future interventions to improve cognitive function, with anxiety playing a significant role at an earlier stage. IMPLICATIONS FOR CANCER SURVIVORS: Tai Chi is a potentially safe complementary therapeutic option for managing cognitive impairment in this vulnerable population. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04119778; retrospectively registered on 8 October 2019.

Prediction of adolescent weight status by machine learning: a population-based study.

BACKGROUND: Adolescent weight problems have become a growing public health concern, making early prediction of non-normal weight status crucial for effective prevention. However, few temporal prediction tools for adolescent four weight status have been developed. This study aimed to predict the short- and long-term weight status of Hong Kong adolescents and assess the importance of predictors. METHODS: A population-based retrospective cohort study of adolescents was conducted using data from a territory-wide voluntary annual health assessment service provided by the Department of Health in Hong Kong. Using diet habits, physical activity, psychological well-being, and demographics, we generated six prediction models for successive weight status (normal, overweight, obese and underweight) using multiclass Decision Tree, Random Forest, k-Nearest Neighbor, eXtreme gradient boosting, support vector machine, logistic regression. Model performance was evaluated by multiple standard classifier metrics and the overall accuracy. Predictors' importance was assessed using Shapley values. RESULTS: 442,898 Primary 4 (P4, Grade 4 in the US) and 344,186 in Primary 6 (P6, Grade 6 in the US) students, with followed up until their Secondary 6 (Grade 12 in the US) during the academic years 1995/96 to 2014/15 were included. The XG Boosts model consistently outperformed all other model in predicting the long-term weight status at S6 from P4 or P6. It achieved an overall accuracy of 0.72 or 0.74, a micro-averaging AUC of 0.92 or 0.93, and a macro-averaging AUC of 0.83 or 0.86, respectively. XG Boost also demonstrated accurate predictions for each predicted weight status, surpassing the AUC values obtained by other models. Weight, height, sex, age, frequency and hours of aerobic exercise were consistently the most important predictors for both cohorts. CONCLUSIONS: The machine learning approaches accurately predict adolescent weight status in both short- and long-term. The developed multiclass model that utilizing easy-assessed variables enables accurate long-term prediction on weight status, which can be used by adolescents and parents for self-prediction when applied in health care system. The interpretable models may help to provide the early and individualized interventions suggestions for adolescents with weight problems particularly.

Tai Chi and Aerobic Exercise on Cancer-Related Dyspnea in Advanced Lung Cancer Patients: A Randomized Clinical Trial.

CONTEXT: Dyspnea, a prevalent and debilitating symptom in patients with advanced lung cancer, negatively affects symptom burden and prognosis. Physical activity has emerged as a promising non-pharmacological intervention for managing dyspnea. OBJECTIVES: This study compared the effectiveness of two widely-recognized physical activity modalities, namely Tai Chi (TC) and aerobic exercise (AE) for treating dyspnea in patients with advanced lung cancer. METHODS: Patients with advanced lung cancer (n=226) were randomized into TC, AE, or control groups. There was no baseline dyspnea requirement for patients. The AE group received two 60-minute supervised sessions and home-based exercises per month, the TC group received 60-minute sessions twice weekly, and the control group received exercise guidelines for 16 weeks. The primary outcome (sleep quality) of the study has been previously reported. In this secondary analysis, we focused on dyspnea outcomes, including overall and lung cancer-specific dyspnea. Assessments were conducted at baseline (T0), 16 weeks (T1), and one year (T2). RESULTS: Compared to the control group, TC significantly improved overall dyspnea at T1 (between-group difference, -8.69; P=0.03) and T2 (between-group difference, -11.45; P=0.01), but not AE. Both AE (between-group difference, -11.04; P=0.01) and TC (between-group difference, -14.19; P<0.001) significantly alleviated lung cancer-specific dyspnea at T2 compared with the control group. CONCLUSION: Both TC and AE alleviate dyspnea severity in patients with advanced lung cancer, and continuous exercise can yield substantial improvements. Due to its multi-component nature, Tai Chi has a greater effect on dyspnea.

Prevalence and Factors Associated With Willingness to Sustain Pandemic-Induced Digital Work in the General Population and Moderating Effects of Screen Hours: Cross-Sectional Study.

BACKGROUND: The pandemic has accelerated digital work transformation, yet little is known about individuals' willingness to sustain such digital modes and its associated factors. A better understanding of this willingness and its drivers is crucial for guiding the development of future digital work infrastructure, training programs, and strategies to monitor and prevent related health issues. OBJECTIVE: This study aims to quantify the general population's willingness to sustain pandemic-induced digital work, identify its associated factors, and examine how screen time moderates these relationships. METHODS: A cross-sectional study was conducted targeting Hong Kong residents aged ≥18 years who have increased engagement in digital work since the pandemic. Data were collected through self-reported, web-based surveys. Descriptive statistics determined prevalence rates, while structured multiphase logistic regression identified associated factors and explored the moderating effects of screen hour levels. RESULTS: This unfunded study enrolled 1014 participants from May 2 to June 24, 2022, and completed data analysis within 3 months after data collection. A total of 391 (38.6%; 95% CI 35.6%-41.6%) participants expressed willingness to sustain digital work. Positive factors associated with this willingness included being an employee (odds ratio [OR] 3.12, 95% CI 1.59-6.45; P=.001), being health professionals (OR 3.32, 95% CI 1.49-7.82; P=.004), longer screen hours (OR 1.09, 95% CI 1.03-1.15; P=.002), and higher depression levels (OR 1.20, 95% CI 1.01-1.44; P=.04). Conversely, negatively associated factors included older age (OR 0.87, 95% CI 0.81-0.94; P=.001), extroversion (OR 0.66, 95% CI 0.51-0.86; P=.002), higher eHealth literacy (OR 0.96, 95% CI 0.93-0.98; P<.001), perceived greater susceptibility to COVID-19 (OR 0.84, 95% CI 0.74-0.96; P=.009), residence in a high-severity COVID-19 community (OR 0.73, 95% CI 0.63-0.84; P<.001), having infected individuals in the immediate social circle (OR 0.64, 95% CI 0.46-0.88; P=.006), higher BMI (OR 0.94, 95% CI 0.90-0.99; P=.02), feelings of being out of control (OR 0.96, 95% CI 0.93-0.98; P=.002), and higher fear of COVID-19 (OR 0.96, 95% CI 0.94-0.98; P=.001). In addition, a moderating effect of screen hour level (high: >8 h/d; low: ≤8 h/d) influenced the association among 10 factors related to willingness to sustain pandemic-induced digital work, including age, education level, household size, needs for regular medical care, BMI, frequency of both vigorous and moderate physical activities, perceived COVID-19 severity, immediate social circle COVID-19 presence, and fear of COVID-19 (all P values for interaction <.05). CONCLUSIONS: The substantial willingness of the general population to sustain digital work after the pandemic highlights the need for robust telework infrastructure, thorough monitoring of adverse health outcomes, and the potential to expand telehealth services among this group. The identification of factors influencing this willingness and the moderating role of screen hours inform the development of personalized strategies to enhance digital work acceptance where needed.

Key lifestyles and health outcomes across 16 prevalent chronic diseases: A network analysis of an international observational study.

Background: Central and bridge nodes can drive significant overall improvements within their respective networks. We aimed to identify them in 16 prevalent chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic to guide effective intervention strategies and appropriate resource allocation for most significant holistic lifestyle and health improvements. Methods: We surveyed 16 512 adults from July 2020 to August 2021 in 30 territories. Participants self-reported their medical histories and the perceived impact of COVID-19 on 18 lifestyle factors and 13 health outcomes. For each disease subgroup, we generated lifestyle, health outcome, and bridge networks. Variables with the highest centrality indices in each were identified central or bridge. We validated these networks using nonparametric and case-dropping subset bootstrapping and confirmed central and bridge variables' significantly higher indices through a centrality difference test. Findings: Among the 48 networks, 44 were validated (all correlation-stability coefficients >0.25). Six central lifestyle factors were identified: less consumption of snacks (for the chronic disease: anxiety), less sugary drinks (cancer, gastric ulcer, hypertension, insomnia, and pre-diabetes), less smoking tobacco (chronic obstructive pulmonary disease), frequency of exercise (depression and fatty liver disease), duration of exercise (irritable bowel syndrome), and overall amount of exercise (autoimmune disease, diabetes, eczema, heart attack, and high cholesterol). Two central health outcomes emerged: less emotional distress (chronic obstructive pulmonary disease, eczema, fatty liver disease, gastric ulcer, heart attack, high cholesterol, hypertension, insomnia, and pre-diabetes) and quality of life (anxiety, autoimmune disease, cancer, depression, diabetes, and irritable bowel syndrome). Four bridge lifestyles were identified: consumption of fruits and vegetables (diabetes, high cholesterol, hypertension, and insomnia), less duration of sitting (eczema, fatty liver disease, and heart attack), frequency of exercise (autoimmune disease, depression, and heart attack), and overall amount of exercise (anxiety, gastric ulcer, and insomnia). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P < 0.05). Conclusion: To effectively manage chronic diseases during the COVID-19 pandemic, enhanced interventions and optimised resource allocation toward central lifestyle factors, health outcomes, and bridge lifestyles are paramount. The key variables shared across chronic diseases emphasise the importance of coordinated intervention strategies.

Nurse-Led Brief Intervention for Enhancing Safe Sex Practice Among Emerging Adults in Hong Kong Using Instant Messaging: Feasibility Study.

BACKGROUND: The incidence of sexually transmitted infections has been increasing throughout the world. Additionally, substantial changes in emerging adults' attitudes toward sex and the popularization of premarital sex could further affect the diagnosis and treatment of sexually transmitted infections. With the high acceptability and effectiveness of instant messaging (IM) interventions for health promotion, there is potential for such interventions to improve condom use knowledge and promote safer sex practice. OBJECTIVE: The study evaluates the feasibility of a nurse-led IM intervention to promote safer sex practices in emerging adults. METHODS: A 30-minute adaptive IM intervention and a 5-day booster dose of daily messages after 2 weeks through WhatsApp (Meta Platforms, Inc) were conducted with emerging adults in local universities in Hong Kong aged between 18 and 29 years with previous sexual experience. A questionnaire was distributed 1 week after the intervention that measured the consistency in condom use, the change in condom use knowledge and attitudes, and the acceptability of the intervention. The feasibility of the intervention was assessed by Bowen's feasibility framework. RESULTS: A total of 20 participants completed the intervention and questionnaire. Results showed (1) high satisfaction level (mean satisfaction score: 9.10/10), (2) high demand of the intervention (retention rate: 95%), (3) smooth implementation of the intervention, (4) high practicality (13/20, 65% of the participants viewed IM to be an effective means of intervention), (5) potential integration of the intervention, and (6) significant mean increase in condom use knowledge and attitudes (mean increase 9.05; t19=3.727; 95% CI 3.97-14.13; P=.001). CONCLUSIONS: The IM intervention was feasible, acceptable, and had potential impacts on improving safer sex practices. These findings will support the future development of IM interventions in the arena of sexual health promotion.

Effectiveness of a 5-year health empowerment programme on promoting cardiovascular health for adults from low-income families in Hong Kong.

OBJECTIVE: This study aimed to evaluate the effectiveness of a health empowerment programme (HEP) to enhance cardiovascular health for adults from low-income families. METHODS: A prospective cohort study (N = 219, Intervention group: n = 103, comparison group: n = 116) was conducted with participants recruited from January 2013 to November 2015 and followed up until January 2022. Throughout the study duration, intervention group were invited to participate in the HEP. The cardiovascular health status of both groups at baseline and follow-up were assessed using the adapted Ideal Cardiovascular Health Index (ICHI) defined by the American Heart Association. After inverse propensity score weighting, multiple linear regression and Poisson regression were employed to examine the effects of the HEP. RESULTS: The HEP was associated with a greater increase in ICHI total score (B = 0.33, p < 0.001), and the increase of proportion of people achieving a normal blood pressure (Incidence rate ratio: 3.39, p < 0.05). CONCLUSION: HEP can be an effective and sustainable strategy to reduce social disparities in cardiovascular health of adults from low-income families, as indicated by improvement in the ICHI total score and blood pressure status. PRACTICAL IMPLICATIONS: The sustainable HEP in the community setting has potential for generalizability and scalability to other financially challenged families.

Effectiveness of group cognitive behavioral therapy for depression in adults: a systematic review and meta-analysis of delivery by different healthcare professionals.

This study addresses the gap in understanding the varied effectiveness of group cognitive behavioral therapy (gCBT) delivered by different professionals. This study aims to address this gap by conducting a systematic review of randomized controlled trials (RCTs) that evaluate gCBT and compare it to inactive controls in adults with a clinical diagnosis of depression. A total of 33 RCTs were included for analysis. In the overall analysis, 'profession of gCBT deliverer' was not a significant moderator in the meta-regression model (p = 0.57). For people without comorbidity, the overall effect size estimate was -0.69 (95% CI, -1.01. to -0.37, p = 0.03). Among gCBT deliverers, psychologists and nurses/psychiatric nurses demonstrated significant effectiveness, with psychologists showing a large effect size of -0.78 (95% CI, -1.25 to -0.30, p < 0.01) and nurses/psychiatric nurses showing a medium effect size of -0.45 (95% CI, -0.85 to -0.05, p = 0.03). The certainty of evidence for both professionals was moderate. These results have significant implications for the delivery of mental healthcare, as nurses/psychiatric nurses may be more accessible and cost-effective than psychologists in some settings. However, further research is necessary to determine the effectiveness of gCBT delivered by a broader range of healthcare professionals for patients with depression and other comorbidities.

Health and economic burden of low back pain and rheumatoid arthritis attributable to smoking in 192 countries and territories in 2019.

BACKGROUND AND AIMS: Smoking is a risk factor for low back pain (LBP) and rheumatoid arthritis (RA). We aimed to estimate the global health and economic burden of LBP and RA attributable to smoking. DESIGN: This was a cross-sectional study. SETTING: The study was conducted in 192 countries and territories. CASES: Prevalent cases of LBP and RA were used, extracted from the Global Burden of Diseases, Injuries and Risk Factors Study 2019 data repositories. MEASUREMENTS: Smoking-attributable health and economic burden was estimated with the population-attributable fraction method. Smoking-attributable prevalence of LBP and RA and health-care costs were estimated for patients of all ages, whereas years lived with disability (YLDs) and productivity losses due to morbidity were estimated for patients aged 15-84 years. Uncertainty intervals (UIs) of the results were obtained by repeating the analysis with the lower and upper bounds of all input variables. FINDINGS: Globally, smoking accounted for 84.5 million (UI = 56.7-120.2 million) prevalent cases of LBP, 1.8 million (UI = 0.5-3.4 million) prevalent cases of RA and 11.3 million (UI = 6.2-18.5 million) YLDs, which represented 1.5% of all-cause YLDs in the working-age population aged 15-84 years in 2019. Health-care costs and productivity losses of smoking-attributable LBP and RA cost the global economy purchasing-power parity $326.0 billion (UI = $184.0-521.4 billion), representing 0.2% of the global gross domestic product. Specifically, smoking accounted for $65.8 billion (UI = $38.0-101.2 billion) in health-care costs world-wide, with more than half [$39.8 billion (UI = $23.1-61.3 billion), 60.6%] borne by the public sector. Smoking also contributed to $260.3 billion (UI = $146.0-420.3 billion) in productivity losses globally. Approximately 60.0% of the global YLDs were observed in middle-income countries, whereas 84.4% of health-care costs and 72.7% of productivity losses were borne by high-income countries. CONCLUSIONS: Globally, in 2019, smoking accounted for more than 11.0 million years lived with disability and purchasing-power parity $326.0 billion in economic losses due to low back pain and rheumatoid arthritis. Middle-income countries suffered more morbidity, whereas high-income countries experienced larger economic losses.

Measurement Properties and Optimal Cutoff Point of the WHO-5 Among Chinese Healthcare Students.

Purpose: The World Health Organization-Five Well-Being Index (WHO-5) is widely used to assess subjective well-being. Nevertheless, measurement invariance and optimal cutoff point of the WHO-5 have not been examined in Chinese samples. We aimed to assess measurement properties of the Chinese version of the WHO-5 (WHO-5-C) among healthcare students. Patients and Methods: A two-wave longitudinal assessment was conducted among 343 Chinese healthcare students from September to November 2022. Measurement properties of the WHO-5-C were assessed through structural validity using confirmatory factor analysis (CFA), measurement invariance using multigroup CFA (MGCFA) and longitudinal CFA (LCFA), convergent validity using correlation analysis with the Self-Rated Health Questionnaire (SRHQ) and Patient Health Questionnaire-4 (PHQ-4), reliability using internal consistency and test-retest reliability, and optimal cutoff point using receiver operating characteristic (ROC) analysis. Results: The WHO-5-C demonstrated satisfactory structural validity with comparative fit index (CFI) of 0.968 at baseline and 0.980 at follow-up, and adequate measurement invariance in different sociodemographic variables at baseline (gender, age, major, home location, being only child, monthly household income, part-time job, physical exercise, hobby, frequency of visiting home, and stress coping strategy) (CFI changes [ΔCFI] = -0.009-0.003) and over a week (ΔCFI = -0.006-0.000). The WHO-5-C also had good internal consistency (Cronbach's α = 0.907-0.934; McDonald's ω = 0.908-0.935) and test-retest reliability (intraclass correlation coefficient [ICC] = 0.803). Convergent validity was supported by moderate correlations of the WHO-5-C with the SRHQ and PHQ-4. The optimal cutoff point of the WHO-5-C was found to be 50, with an area under the ROC curve of 0.882 at baseline data, with sensitivity of 0.803 and specificity of 0.762 at follow-up. Conclusion: The WHO-5-C demonstrated adequate measurement properties, especially concerning cross-sectional and longitudinal measurement invariance, with a recommended optimal cutoff point of ≥ 50 for assessing adequate level of psychological well-being in healthcare students.

Psychological distress as a mediator between workplace violence and turnover intention with caring for patients with COVID-19.

The Coronavirus Disease 2019 (COVID-19) outbreak exacerbated workplace violence and turnover intention among nurses, particularly affecting greater levels of psychological distress. This study aimed to examine psychological distress as a mediator of the relationship between workplace violence and turnover intention among clinical nurses, and to investigate whether caring for patients with COVID-19 moderates this relationship through the lens of the affective events theory. We conducted an online survey of 325 Korean registered nurses (mean age = 30.75; female = 92.6%) who work in clinical settings between August and October 2021 using the convenience sampling method. Psychological distress was measured using the 21-item Depression Anxiety Stress Scale and workplace violence using one dichotomous item adopted from the Workplace violence questionnaire. We measured turnover intention using the six-item Anticipated Turnover Scale. Caring for patients with COVID-19 was determined using one dichotomous item. The research hypotheses assume that the relationship between workplace violence and turnover intention could be mediated by psychological distress and moderated by caring for patients with COVID-19 among Korean nurses. We performed a moderated mediation analysis with workplace violence as the independent variable, turnover intention as the dependent variable, psychological distress as a potential mediator, and caring for patients with COVID-19 as a potential moderator. The analysis revealed that nurses' psychological distress among 308 nurses had a statistically significant mediating effect on the relationship between workplace violence and turnover intention. Furthermore, caring for patients with COVID-19 had a significant further moderating effect on this relationship. These findings highlight the need for psychological support services for clinical nurses at institutional and organizational levels amidst the ongoing COVID-19 pandemic. It is hoped that these findings can contribute to the development of tailored interventions for nurses caring for patients with COVID-19 to attenuate their psychological distress in a timely and effective manner.