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Health Problems Among Workers Who Recycle Electronic Waste in Southern Thailand.


ABSTRACT: Objectives:This study evaluated the prevalence of adverse health effects among recycling facility workers, and described their socioeconomic situation, health symptoms and work characteristics. Methods:A cross-sectional study was conducted by interviewing 71 workers in 20 electronic waste (e-waste) recycling facilities in southern Thailand. Data were collected by questionnaire. Risk factors were evaluated using multiple logistic regression analysis. Results:Recycling facility workers with blurred vision were significantly associated with being male (p = 0.035), over 40 years old (p = 0.020), and having ? secondary school education (p = 0.017). Rash/itching was associated with being male (p = 0.011), over 40 years (p = 0.018), having ? secondary school education (p = 0.012). not using a cloth mask (p = 0.019), not using gloves (p = 0.028), not washing hands before lunch (p = 0.005), not cleaning clothes daily (p = 0.025), and not having established ventilation systems in the place of work (p = 0.018). Hand-and-feet numbness were associated with being male (p = 0.025), and being over 40 years (p = 0.023). Headaches were associated with being male (p = 0.028). Conclusion:Personal hygiene is important for this occupational group, and it should be emphasized in education programs.

SUBMITTER: Decharat S 

PROVIDER: S-EPMC7045883 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Health Problems Among Workers Who Recycle Electronic Waste in Southern Thailand.

Decharat Somsiri S   Kiddee Peeranart P  

Osong public health and research perspectives 20200201 1


<h4>Objectives</h4>This study evaluated the prevalence of adverse health effects among recycling facility workers, and described their socioeconomic situation, health symptoms and work characteristics.<h4>Methods</h4>A cross-sectional study was conducted by interviewing 71 workers in 20 electronic waste (e-waste) recycling facilities in southern Thailand. Data were collected by questionnaire. Risk factors were evaluated using multiple logistic regression analysis.<h4>Results</h4>Recycling facili  ...[more]

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