Research in Community and Public Health Nursing

Original Articles

[English] Modelling of Family Functioning, Dietary Diversity, Family Environmental Sanitation, Household Food Insecurity Access, and Stunting: A Cross-Sectional Study in Rural Areas of Indonesia: Tantut Susanto, Hanny Rasni, Emi Wuri Wuryaningsih, Eka Afdi Septiyono, Vigo Agustilano Salim; Res Community Public Health Nurs. 2026;37(2):125-135. Published online June 30, 2026; DOI: https://doi.org/10.12799/rcphn.2025.01305

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Abstract PDF Supplementary Material: Purpose
Risk factors associated with stunting are often studied individually, while their combined effect within a single framework is poorly understood. This study aimed to model the interrelationships between family function, dietary diversity, family environmental sanitation, and household food insecurity access as predictors of stunting in rural areas of Indonesia.
Methods
A descriptive-analytic, cross-sectional approach was conducted on 339 mothers with stunted children under five years of age in a rural area of Indonesia from June to August 2025. Data were collected using questionnaires and measurements of stunting. Data analysis utilised Structural Equation Modelling (SEM) based on Partial Least Squares (PLS) to examine the relationships among mothers' factors, child factors, family functioning (as measured by the Family Assessment Device - FAD), dietary diversity, family environmental sanitation (FES), household food insecurity access (HFIA), and stunting.
Results
The final structural model demonstrated that dietary diversity (p=.001; β=.16) and family functioning (p=.003; β=.20) were the most significant direct predictors of stunting. Notably, 'child factors' (e.g., medical history) also had a direct effect on stunting (p=.029; β=0.14), but more importantly, exerted a powerful indirect influence by significantly shaping family functioning, FES, and HFIA. While 'mother factors' (e.g. education) influenced household food and hygiene, they did not have a direct statistical effect on stunting in the final model.
Conclusion
Alongside dietary diversity, family functioning is a key predictor of stunting. To be effective, community nursing interventions must integrate strategies that support family dynamics with traditional nutritional guidance.

[English] Factors Affecting Posttraumatic Growth of Nurses Caring for Patients with COVID-19 in Regional Medical Centers: Jaehwa Bae, Eun Suk Choi; Res Community Public Health Nurs. 2025;36(1):9-20. Published online March 31, 2025; DOI: https://doi.org/10.12799/rcphn.2024.00703

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Abstract PDF: Purpose
This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers.
Methods
A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis.
Results
Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG.
Conclusion
The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

[English] The Structural Equation Model for Posttraumatic Growth of Firefighter: Based on the Calhoun and Tedeschi's model of posttraumatic growth: Yeo Ju Jeong, Mi Yang Jeon; J Korean Acad Community Health Nurs. 2020;31(4):459-471. Published online December 31, 2020; DOI: https://doi.org/10.12799/jkachn.2020.31.4.459

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4 Citations

Abstract PDF

Purpose
The purpose of this study is to construct and validate a posttraumatic growth structural model for firefighters based on Calhoun and Tedeschi’s model (2006).
Methods
The research data was collected from 200 firefighters working in Gyeongsang-do, Jeolla-do, and Gyeonggi-do. The participants completed an anonymous survey asking about ego-resilience, active coping, family support, organizational support, self-exposure, deliberate rumination, posstraumatic stress and posttraumatic growth.
Results
The model selected as a final model was the one that supports 10 hypotheses out of 13 hypotheses. In the final model, deliberate rumination (β=.59, p<.001) had a significant effect in the posttraumatic growth of firefighters. Active coping, organizational support, self-exposure, ego-resilience and posttraumatic stress had a significant indirect effect. The explanatory power of these variables was 36.0%.
Conclusion
The results of the survey show that it is important to develop a strategy to strengthen deliberate rumination. In addition, encouraging deliberate rumination through organizational support and self-exposure can promote posttraumatic growth of firefighters.

Citations

Citations to this article as recorded by

Factors Affecting Fire Officers' Posttraumatic Growth
Young Mi Ju, Hyun Jung Yun
Journal of Korean Academy of Fundamentals of Nursing.2025; 32(1): 70. CrossRef
A Structural Equation Model for Posttraumatic Growth among Cured Patients with COVID-19
Soo Young An, Heejung Choi
Journal of Korean Academy of Nursing.2023; 53(3): 309. CrossRef
Post-traumatic Growth and it’s associations with Deliberate Rumination, Self-disclosure, and Social Support among Intensive Care Unit Nurses
Sae Mi Min, Hee Jun Kim, Chun-Ja Kim, Jeong-Ah Ahn
Journal of Korean Critical Care Nursing.2022; 15(2): 50. CrossRef
Factors Associated with Post-Traumatic Growth in Patients with Breast Cancer Based on a Model of Post-Traumatic Growth
Hee Yeon Park, Ja Yun Choi
Asian Oncology Nursing.2022; 22(2): 65. CrossRef

[English] A Structural Model on the Post-Traumatic Growth of Police Officers: Seung Woo Han, Eun Suk Choi; J Korean Acad Community Health Nurs. 2020;31(3):348-359. Published online September 30, 2020; DOI: https://doi.org/10.12799/jkachn.2020.31.3.348

2,619 View
30 Download
4 Citations

Abstract PDF

Purpose
The purpose of this study is to construct and test a structural model for the Post-traumatic Growth (PTG) of police officers. The conceptual model is based on Calhoun and Tedeschi’s PTG theory.
Methods
Data were collected from 269 police officers working at 10 police stations in Seoul from September 26 to October 9, 2017. The exogenous variable was traumatic experiences, and endogenous variables were pain perception, self disclosure, social support, deliberate rumination, and PTG. The collected data were analyzed in order to calculate the direct and indirect effects of factors affecting PTG using SPSS/WIN 23.0 and AMOS 21.0.
Results
The hypothetical model showed a good fit to the data: x² /df=2.57, GFI=.90, CFI=.95, TLI=.91, RMSEA=.07, SRMR=.07. The hypothetical model showed a similar result with the data, and out of 10 paths, 7 were statistically significant. The model explained 36% of the variance in the PTG of police officers. The model confirmed that social support and deliberate rumination had a direct effect, and that self-disclosure had an indirect effect on police officers’ PTG. Conclusion: Nursing intervention programs to increase PTG of police officers should focus on deliberate rumination, social support, and self-disclosure. In addition, they should be accompanied by various crisis managements and consultations that can promote PTG.

Citations

Citations to this article as recorded by

Factors Affecting Posttraumatic Growth of Nurses Caring for Patients with COVID-19 in Regional Medical Centers
Jaehwa Bae, Eun Suk Choi
Research in Community and Public Health Nursing.2025; 36: 9. CrossRef
A Structural Equation Model for Posttraumatic Growth among Cured Patients with COVID-19
Soo Young An, Heejung Choi
Journal of Korean Academy of Nursing.2023; 53(3): 309. CrossRef
Factors Associated with Post-Traumatic Growth in Patients with Breast Cancer Based on a Model of Post-Traumatic Growth
Hee Yeon Park, Ja Yun Choi
Asian Oncology Nursing.2022; 22(2): 65. CrossRef
Post-traumatic Growth and it’s associations with Deliberate Rumination, Self-disclosure, and Social Support among Intensive Care Unit Nurses
Sae Mi Min, Hee Jun Kim, Chun-Ja Kim, Jeong-Ah Ahn
Journal of Korean Critical Care Nursing.2022; 15(2): 50. CrossRef

[English] A Structural Equation Model of Factors Influencing Posttraumatic Growth of Earthquake Victims: Min Yeong Kwak; J Korean Acad Community Health Nurs. 2019;30(3):345-356. Published online September 30, 2019; DOI: https://doi.org/10.12799/jkachn.2019.30.3.345

3,268 View
19 Download
3 Citations

Abstract PDF

PURPOSE
The purpose of this study is to construct and test a structural equation model of posttraumatic growth (PTG) of earthquake victims based on Tedeschi and Calhoun's model (2004).
METHODS
Data were collected from 195 earthquake victims living in K. City. The exogenous variables include distress perception, resilience, and social support, and the endogenous variables include intrusive rumination, deliberate rumination, and posttraumatic growth. For data analysis, descriptive statistics, factor analysis, and structural equation modeling were performed.
RESULTS
The modified model showed a good fitness to the data. Moreover, 6 of the 9 paths of the final model were statistically significant, which include PTG affected by deliberate rumination (Î²=.58, p<.001), resilience (Î³=.18, p=.001), and distress perception (Î³=.20, p=.002). These predictors explain 51.8% of variance in posttraumatic growth.
CONCLUSION
Based on the results of this study, it is necessary to develop and disseminate preventive intervention programs to increase the resilience of earthquake-prone communities. In addition, after exposure to a community-scale traumatic event such as earthquake, we should provide social supports to alleviate distress perception and transition from intrusive rumination to deliberate rumination so that we can seek new meaning from the earthquake and facilitate posttraumatic growth.

Citations

Citations to this article as recorded by

Factors Affecting Posttraumatic Growth of Nurses Caring for Patients with COVID-19 in Regional Medical Centers
Jaehwa Bae, Eun Suk Choi
Research in Community and Public Health Nursing.2025; 36: 9. CrossRef
A Structural Equation Model for Posttraumatic Growth among Cured Patients with COVID-19
Soo Young An, Heejung Choi
Journal of Korean Academy of Nursing.2023; 53(3): 309. CrossRef
Predictors of posttraumatic growth of intensive care unit nurses in Korea
Ae Kyung Chang, Hyejin Yoon, Ji Hyun Jang
Japan Journal of Nursing Science.2021;[Epub] CrossRef

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