Assessment of Hygienic Practices in Street Food Vendors of Mymensingh City of Bangladesh: A Cross-Sectional Study
Nahiduzzaman, F.; Zarin, T.; Jhinuk, N. A.; Hasan, H.; Khatun, M. M.; Islam, M. A.
Show abstract
This cross-sectional study assessed hygienic practices, microbial contamination, and associated factors among street food vendors in Mymensingh City, Bangladesh, from August 2024 to February 2025. Using purposive sampling, 300 vendors were evaluated through structured questionnaires, observational assessments, and laboratory analysis of food samples (n = 300) for bacterial load (log-transformed Total Viable Count, log_TVC). Results revealed that 87.33% (95% CI: 83.6-91.1) of vendors practiced poor hygiene: 90.7% (95% CI: 87.4-94.0) did not cover food, 7% (95% CI: 4.1-9.9) used disinfectants, and 81.00% (95% CI: 76.6-85.4) reused ingredients beyond one day. Knowledge gaps were stark, with 89.7% (95% CI: 86.3-93.1%) demonstrating insufficient basic hygiene knowledge and 90.7% (95% CI: 87.4-94.0%) lacking understanding of hygienic food processing. Education significantly influenced practices; secondary-educated vendors exhibited markedly better hygiene awareness (65.0% vs. 2.89% in uneducated groups). Bacterial loads varied across food types, with Velpuri showing the highest mean log_TVC (8.00, 95% CI: 7.65-8.35) and fast food the lowest (7.69, 95% CI: 7.34-8.03). Significant correlations emerged between hygiene knowledge and practices: vendors aware of foodborne diseases were more likely to use gloves (Spearman's r = 0.199, p = 0.001) and cover food (r = 0.118, p = 0.041). Challenges included financial constraints (62.25% [95% CI: 56.1-68.4] among uneducated vendors), knowledge gaps, and time limitations. The study underscores systemic issues in street food safety, driven by low education and economic barriers. Interventions targeting vendor education, affordable hygiene solutions, and stricter enforcement of ingredient freshness protocols are urgently needed to mitigate foodborne disease risks in urban Bangladesh.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.