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2 "Binh Thang Tran"
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Original Articles
Validation of the Disaster Adaptation and Resilience Scale for Vulnerable Communities in Vietnam’s Coastal Regions
Thanh Gia Nguyen, Binh Thang Tran, Minh Tu Nguyen, Dinh Duong Le
Received February 28, 2024  Accepted April 12, 2024  Published online April 25, 2024  
DOI: https://doi.org/10.3961/jpmph.24.110    [Accepted]
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AbstractAbstract PDF
Objectives
This study validated the Vietnamese version of the Disaster Adaptation and Resilience Scale (DARS) for use in vulnerable communities in Vietnam.
Methods
This was a cross-sectional study involving 595 adults from 2 identified communities. The original DARS assessment tool was translated, and the validity and reliability of the Vietnamese version of DARS (V-DARS) were assessed. The internal consistency of the overall scale and its subscales was evaluated using Cronbach's alpha and McDonald's omega reliability coefficients. Confirmatory factor analysis (CFA) was employed to evaluate its construct validity, building upon the factor structure identified in exploratory factor analysis (EFA). Construct validity was assessed based on convergent and discriminant validity.
Results
Following the established criteria for EFA, 8 items were removed, resulting in a refined V-DARS structure comprising 35 items distributed across 5 distinct factors. Both alpha and omega reliability coefficients indicated strong internal consistency for the overall scale (α = .963, ω = .963) and for each of the 5 sub-scales (all > 0.80). The CFA model also retained the 5-factor structure with 35 items. The model fit indices showed acceptable values (RMSEA: 0.072; CFI: 0.912; TLI: 0.904; chi-square test: <0.01). Additionally, the convergent and discriminant validity of the V-DARS were deemed appropriate and satisfactory for explaining the measurement structure.
Conclusions
Our findings suggest that the V-DARS is a valid and reliable scale for use within vulnerable communities in Vietnam to assess adaptive responses to natural disasters. It may also be considered for use in other populations.
Summary
Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam
Thang Phan, Ha Phan Ai Nguyen, Cao Khoa Dang, Minh Tri Phan, Vu Thanh Nguyen, Van Tuan Le, Binh Thang Tran, Chinh Van Dang, Tinh Huu Ho, Minh Tu Nguyen, Thang Van Dinh, Van Trong Phan, Binh Thai Dang, Huynh Ho Ngoc Quynh, Minh Tran Le, Nhan Phuc Thanh Nguyen
J Prev Med Public Health. 2023;56(4):319-326.   Published online May 31, 2023
DOI: https://doi.org/10.3961/jpmph.22.528
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  • 264 Download
  • 1 Crossref
AbstractAbstract PDF
Objectives
The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic.
Methods
In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher.
Results
Participants’ mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95).
Conclusions
The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.
Summary

Citations

Citations to this article as recorded by  
  • A cross‐sectional study of sleep disturbance among middle‐aged cancer patients at Vietnam National Cancer Hospital
    Anh Tuan Pham, Mai Tuyet Do, Huong Thi Thanh Tran
    Cancer Reports.2024;[Epub]     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health