Journal of Preventive Medicine and Public Health

Original Articles

Psychometric Properties of the Areas of Worklife Survey in an Industrial Context in Thailand: Jate Ratanachina, Inthuon Hongsiri, Watcharakorn Chuthong, Wiroj Jiamjarasrangsi; J Prev Med Public Health. 2026;59(1):75-85. Published online October 16, 2025; DOI: https://doi.org/10.3961/jpmph.25.569

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Abstract Summary PDF Supplementary Material: Objectives
The Areas of Worklife Survey (AWS) is widely used to assess organizational factors contributing to burnout. However, evidence regarding its construct and criterion validity has been reported primarily in human service settings. This study evaluated the construct validity of the AWS measurement model and the criterion validity of the AWS–burnout relationship among industrial workers in Thailand.
Methods
In this cross-sectional study, a Thai-language electronic questionnaire was administered to 446 industrial workers between June 2024 and August 2024. Of these, 390 participants (87.4%) completed both the AWS and the Maslach Burnout Inventory–General Survey. Data were analyzed using confirmatory factor analysis within a structural equation modeling framework.
Results
A modified 6-factor (chi-square/degree of freedom [χ²/df], comparative fit index [CFI], Tucker– Lewis index [TLI], root mean square error of approximation [RMSEA], and standardized root mean square residual [SRMR]) AWS model—excluding 5 items and allowing 2 correlated error terms—demonstrated satisfactory fit (χ²(213)=436.02, p<0.001; χ²/df=2.05; CFI=0.94; TLI=0.92; RMSEA=0.053; SRMR=0.053). Convergent validity (composite reliability=0.74–0.87; average variance extracted [AVE]=0.49–0.58) and discriminant validity were acceptable for most dimensions; however, the Fairness dimension (AVE=0.36) and the Reward–Fairness correlation remained problematic. The partial mediation model demonstrated acceptable criterion validity, with all mediation paths—except reward to values—reaching statistical significance.
Conclusions
The AWS is a valid measure for assessing factors contributing to burnout among Thai industrial workers. Nevertheless, further refinement is necessary to ensure strong dimension-specific validity with minimal modification.; Summary

Key Message
• The Areas of Worklife Survey (AWS) demonstrated acceptable construct and criterion validity for assessing organizational risk factors related to burnout among Thai industrial workers after model refinement. • A modified 18-item, six-factor structure showed good model fit and meaningful associations with burnout dimensions, supporting the AWS as a useful tool beyond human service settings.

Sleep Quality and Associated Factors Among Firefighters in Bangkok, Thailand: A Cross-sectional Study: Nunnapat Piyachaiseth, Pornchai Sithisarankul, Jate Ratanachina; J Prev Med Public Health. 2024;57(1):83-90. Published online December 9, 2023; DOI: https://doi.org/10.3961/jpmph.23.305

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2 Web of Science
2 Crossref

Abstract Summary PDF Supplementary Material

Objectives
Professional firefighters face various health hazards and are required to maintain both physical and mental fitness to effectively mitigate crises and respond to emergencies. Moreover, the long working hours and shift work of this profession impact sleep quality. This study investigated the quality of sleep and its associated factors among firefighters in Bangkok, Thailand.
Methods
This was a cross-sectional study of firefighters affiliated with the Bangkok Fire and Rescue Department, Bangkok Metropolitan Administration, Thailand between January 2023 and March 2023. A cluster random sampling technique was utilized to distribute 600 questionnaires to firefighters in 15 fire stations. The questionnaire addressed demographic, work-related, and environmental factors. Sleep quality was assessed using the Thai version of the Pittsburgh Sleep Quality Index (PSQI). Data analysis involved both descriptive and inferential statistics. Bivariate and multiple logistic regressions were performed.
Results
The response rate was 78.7% (n=472), and 44.1% of the firefighters reported poor sleep quality (PSQI score >5). Sleep quality was statistically associated with conflicting family relationships (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.1 to 2.9), additional part-time jobs (daytime, OR, 2.4; 95% CI, 1.3 to 4.4; or nighttime, OR, 4.3; 95% CI, 1.1 to 16.7), noisy sleeping areas (OR, 1.7; 95% CI, 1.1 to 2.8), and the availability of adequate bedding (OR, 3.0; 95% CI, 1.8 to 4.9).
Conclusions
Poor sleep quality among firefighters was associated with various personal, work-related, and environmental factors. Organizations should promote policies that improve sleep quality through good sleep hygiene practices and facilities.

Summary

Key Message
This cross-sectional study aimed to investigate sleep quality among firefighters in Bangkok, Thailand its associated factors. 44.1% of the firefighters reported poor sleep quality (the Pittsburgh Sleep Quality Index: PSQI score >5). Sleep quality was statistically associated with conflicting family relationships, additional part-time jobs (daytime or nighttime), noisy sleeping areas, and the availability of adequate bedding.

Citations

Citations to this article as recorded by

Psychometric Properties of the Areas of Worklife Survey in an Industrial Context in Thailand
Jate Ratanachina, Inthuon Hongsiri, Watcharakorn Chuthong, Wiroj Jiamjarasrangsi
Journal of Preventive Medicine and Public Health.2026; 59(1): 75. CrossRef
Burnout, areas of worklife and associated factors among industrial workers: a cross-sectional study from Thailand
Inthuon Hongsiri, Wiroj Jiamjarasrangsi, Jate Ratanachina
Psychology, Health & Medicine.2025; : 1. CrossRef

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