Post-Traumatic Sequelae and Their Associated Factors: A Cross-Sectional Study in the Northern Mountainous Region of Vietnam
Abstract
:1. Introduction
- This study provides specific data on the prevalence of post-traumatic sequelae and its associated factors among residents of a northern mountainous province in Vietnam (Dien Bien province).
- It identifies key factors significantly associated with an increased risk of post-traumatic sequelae in this specific population: an older age (>40), belonging to an ethnic minority group, a short treatment duration (≤1 week), and a lack of family and social support.
- These findings offer crucial, context-specific evidence that can inform the development of targeted public health interventions, support policies, and resource allocation aimed at mitigating post-traumatic sequelae for vulnerable groups in similar settings in Vietnam.
2. Materials and Methods
2.1. Study Design and Setting
2.2. Study Subjects
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- Inclusion criteria: People living and working in the two study communes for at least one year. Individuals were included if they did not have a documented history of chronic, pre-existing neuropsychiatric disorders (unrelated to the injury sustained within the last year) that would impair their ability to accurately recall events or participate coherently in the interview. This criterion does not exclude neuropsychiatric sequelae developed as a consequence of the recent injury. People who agreed to participate in the study.
- ❖
- Exclusion criteria: People who experienced injuries too long ago, making it unsuitable to assess sequelae. People with underlying medical conditions or health issues that could affect post-traumatic sequelae. People unable to comprehend or answer questions.
2.3. Sample Size and Sampling Method
2.4. Measurements
- -
- Lost at least 1 day of work or school.
- -
- Required medical care from a medical facility or healthcare professional.
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- Were unable to participate in daily activities such as personal hygiene, bathing, laundry, sweeping, cleaning, etc., for at least 1 day.
- ○
- Dependent Variable:
- ○
- Independent Variables:
- ○
- Injury-related characteristics:
2.5. Methods of Data Collection
2.6. Statistical Analysis
2.7. Ethical Consideration
3. Results
4. Discussion
Strengths and Limitations of the Study
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
AOR | Adjusted odds ratio |
COR | Crude odds ratio |
PTSD | Post-traumatic stress disorder |
References
- Kapfhammer, H.P. Acute and long-term mental and physical sequelae in the aftermath of traumatic exposure—Some remarks on “the body keeps the score”. Psychiatr. Danub. 2018, 30, 254–272. [Google Scholar] [CrossRef] [PubMed]
- Pacella, M.L.; Hruska, B.; Delahanty, D.L. Delahanty The physical health consequences of PTSD and PTSD symptoms: A meta-analytic review. J. Anxiety Disord. 2013, 27, 33–46. [Google Scholar] [CrossRef] [PubMed]
- Wooldridge, J.S.; Herbert, M.S.; Dochat, C.; Afari, N. Understanding relationships between posttraumatic stress disorder symptoms, binge-eating symptoms, and obesity-related quality of life: The role of experiential avoidance. Eat Disord. 2021, 29, 260–275. [Google Scholar] [CrossRef] [PubMed]
- Sommer, J.L.; Reynolds, K.; El-Gabalawy, R.; Pietrzak, R.H.; Mackenzie, C.S.; Ceccarelli, L.; Mota, N.; Sareen, J. Associations between physical health conditions and posttraumatic stress disorder according to age. Aging Ment. Health 2021, 25, 234–242. [Google Scholar] [CrossRef] [PubMed]
- Bonsaksen, T.; Heir, T.; Schou-Bredal, I.; Ekeberg, Ø.; Skogstad, L.; Grimholt, T.K. Post-Traumatic Stress Disorder and Associated Factors during the Early Stage of the COVID-19 Pandemic in Norway. Int. J. Environ. Res. Public Health 2020, 17, 9210. [Google Scholar] [CrossRef] [PubMed]
- Armenta, R.F.; Rush, T.; LeardMann, C.A.; Millegan, J.; Cooper, A.; Hoge for the Millennium Cohort Study Team. Factors associated with persistent posttraumatic stress disorder among U.S. military service members and veterans. BMC Psychiatry 2018, 18, 48. [Google Scholar] [CrossRef] [PubMed]
- Alharbi, R.; Mosley, I.; Miller, C.; Hillel, S.; Lewis, V. Factors associated with physical, psychological and functional outcomes in adult trauma patients following Road Traffic Crash: A scoping literature review. Transp. Res. Interdiscip. Perspect. 2019, 3, 100061. [Google Scholar] [CrossRef]
- Maas, A.I.R.; Menon, D.K.; Manley, G.T.; Abrams, M.; Åkerlund, C.; Andelic, N.; Aries, M.; Bashford, T.; Bell, M.J.; Bodien, Y.G.; et al. Traumatic brain injury: Progress and challenges in prevention, clinical care, and research. Lancet Neurol. 2022, 21, 1004–1060. [Google Scholar] [CrossRef] [PubMed]
- Liu, H.; Yi, T. Risk factors for psychiatric disorders following traumatic brain injury: A multivariate logistic regression analysis. Front. Psychiatry 2024, 15, 1499894. [Google Scholar] [CrossRef] [PubMed]
- Kassaye, A.; Demilew, D.; Fanta, B.; Mulat, H.; Ali, D.; Seid, J.; Mulugeta, A.; Dereje, J. Post-traumatic stress disorder and its associated factors among war-affected residents in Woldia town, North East Ethiopia, 2022; community based cross-sectional study. PLoS ONE 2023, 18, e0292848. [Google Scholar] [CrossRef] [PubMed]
- Melkam, M.; Tinsae, T.; Andualem, F.; Nakie, G. Post-traumatic stress disorder and associated factors among adults exposed to stress in Ethiopia: A meta-analysis and systematic review. SAGE Open Med. 2023, 11, 20503121231160884. [Google Scholar] [CrossRef]
- Kobayashi, I.; Hatcher, M.; Wilson, C.; Boadi, L.; Poindexter, M.; Allard, J.S.; Polston, E.K. Impacts of sex and the estrous cycle on associations between post-fear conditioning sleep and fear memory recall. Behav. Brain Res. 2020, 378, 112156. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, K.T.; Khuat, O.T.H.; Ma, S.; Pham, D.C.; Khuat, G.T.H. Barriers to health care access among ethnic minorities in remote areas in Vietnam: A qualitative study. Glob. Health Action 2012, 5, 18820. [Google Scholar]
- Nguyen, P.H.; Nguyen, H.V.; Gonzalez-Casanova, I.; Le, B.M.; Pham, H.T.; Truong, T.V.; Ramakrishnan, U. Multisectoral nutrition-sensitive interventions reduced child stunting and maternal underweight and improved food security and diet diversity: A cluster-randomised controlled trial in Vietnam. J. Nutr. 2016, 146, 1594–1603. [Google Scholar]
- Schrader; Ross, A. A Review of PTSD and Current Treatment Strategies. Mo. Med. 2021, 118, 546–551. [Google Scholar]
- Tsai; Shen, J. Exploring the Link Between Posttraumatic Stress Disorder and inflammation-Related Medical Conditions: An Epidemiological Examination. Psychiatr. Q. 2017, 88, 909–916. [Google Scholar] [CrossRef] [PubMed]
- Hoi, D.D.; Son, H.V.; My, N.T.D.; Vu, G.T. Factors affected the psychological trauma of children living in incomplete families—The concern in Vietnamese school counseling. Eur. J. Educ. Res. 2019, 8, 955–963. [Google Scholar]
- Thach, C.T.; Nguyen, T.H.M.; Vo, T.H.N.; Vo, T.C.N.; Nguyen, D.N.Q.; Nguyen, H.T.; Tang, T.N.; Nguyen, T.H.; Do, V.T.; Truong, Q.B. Post-traumatic stress disorder, anxiety, depression and related factors among COVID-19 patients during the fourth wave of the pandemic in Vietnam. Int. Health 2022, 15, 365–375. [Google Scholar]
Characteristics | Frequency | Percentage | |
---|---|---|---|
Age groups | ≤40 | 108 | 47.4 |
>40 | 120 | 52.6 | |
Sex | Male | 143 | 62.7 |
Female | 85 | 37.3 | |
Area | Rural | 121 | 53.1 |
Urban | 107 | 46.9 | |
Ethnic groups | Kinh | 56 | 24.6 |
Minorities * | 172 | 75.4 | |
Occupation | Manual labor | 181 | 78.4 |
Mental labor | 18 | 7.9 | |
Others ** | 29 | 12.7 |
Characteristics | Post-Traumatic Sequelae | ||
---|---|---|---|
No n (%) |
Yes n (%) | ||
Age groups | ≤40 | 74 (68.5) | 34 (31.5) |
>40 | 68 (56.7) | 52 (43.3) | |
Sex | Male | 84 (58.7) | 59 (41.3) |
Female | 58 (68.2) | 27 (31.8) | |
Area | Rural | 79 (65.3) | 42 (34.7) |
Urban | 63 (58.9) | 44 (41.1) | |
Ethnic groups | Kinh | 42 (75.0) | 14 (25.0) |
Minorities * | 100 (58.1) | 72 (41.9) | |
Occupation | Manual labor | 113 (62.4) | 68 (37.6) |
Mental labor | 10 (55.6) | 8 (44.4) | |
Others ** | 19 (65.5) | 10 (34.5) | |
Causal | By yourself | 97 (59.1) | 67 (40.9) |
External influences | 45 (70.3) | 19 (29.7) | |
Place of injury | Indoors | 56 (69.1) | 25 (30.9) |
Outdoors | 86 (58.5) | 61 (41.5) | |
Drinking | No | 119 (66.1) | 61 (33.9) |
Yes | 23 (47.9) | 25 (52.1) |
Variables | Post-Traumatic Sequelae | ||||
---|---|---|---|---|---|
No n (%) |
Yes n (%) |
COR (95% CI) |
AOR (95% CI) | ||
Age groups | ≤40 | 74 (68.5) | 34 (31.5) | 1 | 1 |
>40 | 68 (56.7) | 52 (43.3) | 1.7 (1.0–2.9) * | 2.6 (1.3–5.3) * | |
Sex | Male | 84 (58.7) | 59 (41.3) | 1 | 1 |
Female | 58 (68.2) | 27 (31.8) | 0.7 (0.4–1.2) | 0.6 (0.3–1.5) | |
Area | Rural | 79 (65.3) | 42 (34.7) | 1 | 1 |
Urban | 63 (58.9) | 44 (41.1) | 1.3 (0.8–2.2) | 0.6 (0.3–1.5) | |
Ethnic groups | Kinh | 42 (75.0) | 14 (25.0) | 1 | 1 |
Minorities * | 100 (58.1) | 72 (41.9) | 2.2 (1.1–4.2) * | 2.5 (1.0–6.0) * | |
Occupation | Manual labor | 113 (62.4) | 68 (37.6) | 1 | 1 |
Mental labor | 10 (55.6) | 8 (44.4) | 1.3 (0.5–3.5) | 2.4 (0.6–9.1) | |
Others ** | 19 (65.5) | 10 (34.5) | 0.9 (0.4–2.0) | 0.9 (0.3–2.7) | |
Causal | By yourself | 97 (59.1) | 67 (40.9) | 1 | 1 |
External influences | 45 (70.3) | 19 (29.7) | 0.6 (0.3–1.1) | 0.5 (0.2–1.1) | |
Place of injury | Indoors | 56 (69.1) | 25 (30.9) | 1 | 1 |
Outdoors | 86 (58.5) | 61 (41.5) | 1.6 (0.9–2.8) | 1.7 (0.7–3.8) | |
Drinking | No | 119 (66.1) | 61 (33.9) | 1 | 1 |
Yes | 23 (47.9) | 25 (52.1) | 2.1 (1.1–4.0) * | 1.1 (0.4–2.8) | |
Type of injury accident | Traffic accident | 34 (54.8) | 28 (45.2) | 1 | 1 |
Fall | 39 (60.9) | 25 (39.1) | 0.8 (0.4–1.6) | 2.1 (0.8–6.1) | |
Others *** | 69 (67.6) | 33 (32.4) | 0.6 (0.3–1.1) | 1.1 (0.5–2.9) | |
Social support | No | 75 (67.0) | 37 (33.0) | 1 | 1 |
Yes | 67 (57.8) | 49 (42.2) | 1.5 (0.9–2.5) | 1.2 (0.6–2.5) | |
First aid timent (minute) | ≤30 | 116 (64.1) | 65 (35.9) | 1 | 1 |
>30 | 26 (55.3) | 21 (44.7) | 1.4 (0.8–2.8) | 1.3 (0.6–3.1) | |
Time of treatment (week) | >1 | 60 (47.6) | 66 (52.4) | 1 | 1 |
≤1 | 82 (80.4) | 20 (19.6) | 4.5 (2.5–8.2) *** | 5.1 (2.2–11.9) *** | |
Need assistance | Yes | 33 (36.7) | 57 (63.3) | 1 | 1 |
No | 109 (79.0) | 29 (21.0) | 6.5 (3.6–11.7) *** | 5.7 (2.8–11.4) *** |
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Diep, N.T.; Hien, T.T. Post-Traumatic Sequelae and Their Associated Factors: A Cross-Sectional Study in the Northern Mountainous Region of Vietnam. Int. J. Environ. Res. Public Health 2025, 22, 905. https://doi.org/10.3390/ijerph22060905
Diep NT, Hien TT. Post-Traumatic Sequelae and Their Associated Factors: A Cross-Sectional Study in the Northern Mountainous Region of Vietnam. International Journal of Environmental Research and Public Health. 2025; 22(6):905. https://doi.org/10.3390/ijerph22060905
Chicago/Turabian StyleDiep, Nguyen The, and Tran The Hien. 2025. "Post-Traumatic Sequelae and Their Associated Factors: A Cross-Sectional Study in the Northern Mountainous Region of Vietnam" International Journal of Environmental Research and Public Health 22, no. 6: 905. https://doi.org/10.3390/ijerph22060905
APA StyleDiep, N. T., & Hien, T. T. (2025). Post-Traumatic Sequelae and Their Associated Factors: A Cross-Sectional Study in the Northern Mountainous Region of Vietnam. International Journal of Environmental Research and Public Health, 22(6), 905. https://doi.org/10.3390/ijerph22060905