Prevalence and Factors Associated with Sickness Presenteeism among Thai and Foreign Teachers Following the End of COVID-19 Public Health Emergency of International Concern

Background

Sickness presenteeism (SP) refers to the phenomenon where employees attend work while sick, a decision that impacts both their physical and mental well-being and can lead to burnout. This study aimed to determine the prevalence of and factors influencing SP among Thai and foreign teachers following the end of the coronavirus disease 2019 public health emergency of international concern (PHEIC).

Methods

A sample of 400 individuals was analyzed using chi-square tests and logistic regression to obtain odds ratios (ORs) and 95% confidence intervals (CI).

Results

Post-PHEIC, a significant proportion of teachers (51.9%) perceived an increase in their workload, and 62.1% reported having taken health-related leave of absence. The prevalence of SP was high (35.0%). Factors significantly associated with SP (P<0.05) included being younger than 37 years (OR, 1.825; 95% CI, 1.108-3.006), facing monthly financial challenges (OR, 1.627; 95% CI, 1.028-2.575), doing school-related work on holidays (OR, 1.920; 95% CI, 1.180-3.122), and experiencing sleep disturbances owing to work-related stress (OR, 1.910; 95% CI, 1.203- 3.033). No discernible difference existed in SP rates between Thai and foreign teachers.

Conclusion

As a course of action, we recommend the provision of appropriate financial planning resources for teachers. Policywise, school events and activities should be scheduled on working days to ensure that teachers maintain a work-life balance. Additionally, task allocation that caters to individual strengths and limitations can mitigate the effects of SP.

Comparison of acetylcholinesterase among employees based on job positions and personal protective equipment in fuel station

The purpose of this study was to compare the levels of acetylcholinesterase (AChE) among employees based on job positions and the wearing of personal protective equipment (PPE) in fuel station areas. The sample group consisted of 200 people sorted into various groups, including (i) Inside fuel dispenser area (I-FDA) group consisting of 100 employees for refueling, cashier, and loading fuel into storage tanks, and (ii) Outside fuel dispenser area (O-FDA) group, consisting of 100 employees working in convenience stores, food stores, coffee shops, and offices, as well as general staff and car washers. Data were collected using interview questionnaires and blood samples were analyzed for AChE activity. The results showed that the I-FDA group had a significantly lower mean of serum AChE (7.38±1.73 U/ml) than the O-FDA group (7.85±1.49 U/ml) (p<0.05). The I-FDA group had a 2.43 times higher risk of abnormal serum AChE than the O-FDA group (OR=2.43, 95%CI=1.05-5.60). When considering the risk factors for job positions, it was found that refueling and cashier positions had lower AChE activity levels than those who did not (p<0.05). In the part, employees for food sales in a closed building and those wearing PPE masks had significantly higher AChE activity levels than those who did not or who wore them (p<0.05). Based on the aforementioned, employers at fuel stations should strictly determine the appropriate measures for wearing a PPE mask. Further, employees should be provided accommodation away from oil supply or enclosed buildings during breaks to reduce the effects on the neurotransmitter.

Benzene health risk assessment for neurological disorders of gas station employees in Rayong Province, Thailand

Background

The main job of employees working in the area of fuel service stations is to provide refueling services to customers. Therefore, operators at petrol stations may be exposed to chemicals for long periods, potentially affecting their health in nervous system.

Objectives

This study aims to assess the risk of benzene exposure to the nervous system in gas station operators. Data were collected from 100 fuel service personnel working at fuel dispensers and 100 employees working outside fuel dispensers, accounting to 200 cases.

Material and methods

Data were collected using interview questionnaires. Urine samples were used for the analysis of t,t-muconic acid.

Results

The results showed that t,t-muconic acid concentration is 431.23 ± 233.69 μg/g.cr (449.28 ± 213.32 μg/g.cr at fuel dispensers vs 413.18 ± 252.20 μg/g.cr outside fuel dispensers). The risk characterization results showed that most of the risks were at level 1 (low risk), as observed in 108 people (54.0%). The results of the analysis of the relationship between t,t-muconic acid concentrations classified by 3 levels of percentile and neurological disorders of the study group, the results showed that there was a statistically significant relationship (p-value <0.05).

Conclusion

Therefore, the benzene neurotoxic risk assessment model could be utilized in field practice.

Factors affecting prevalence of neurological symptoms among workers at gasoline stations in Rayong Province, Thailand

This cross-sectional study was aimed at assessing the exposure to organic solvents and the factors affecting prevalence of neurological symptoms among workers at gas stations in Rayong Province. The sample included 200 workers at gas stations, including refueling staff, cashiers, food shop, coffee shop, and convenience store employees. Interview questionnaire included general information, work history, and neurological symptoms. Urine collection devices were used to detect organic solvents metabolized in urine, including t,t-muconic acid (t,t-MA), hippulic acid (HA), mandelic acid (MA), and methylhppuric acid (MHA).The results showed that the workers’ medians (interquartile range: IQR) of the metabolized organic solvents were as follows: t,t-MA was 393.62 (244.59) µg/g Cr, HA was 0.32 (0.14) g/g Cr, MA was 0.06 (0.02) g/g Cr, and MHA was 0.40 (0.13) g/g Cr. For prevalence of neurological symptoms, top three symptoms were headache (49.0%), dizziness (42.5%), and stress/irritability (38.5%). Working at a gas station present was neurological symptoms more than in the past was 32.5%. According to the assessment of exposure to metabolized organic solvents and factors affecting the prevalence of neurological symptoms, overtime work ≥ 6 hours and HA content greater than quartiles Q3 had an effect on neurologic symptoms (OR=2.17; 95%CI=1.23-5.10 and OR=2.15; 95%CI=1.18- 4.76, respectively). In summary, time spent working in gas stations and exposure to toluene organic solvents can cause neurological symptoms. It is recommended to reduce overtime or add breaks during work shifts or shift changes. In addition, workers should be away from the solvent.

Comparison of urinary biomarkers concentrations in exposed and non-exposed petrol station workers in the Eastern Economic Corridor (EEC), Thailand

Background

The Thai government has been developing its Eastern Economic Corridor (EEC), which spans three provinces, with the aim of improving connections with other Asian nations. Since this strategic development, the number of trucks, private car, and passenger car registrations have continued to grow, with a corresponding increase in related to benzene, toluene, ethylbenzene, and xylene (BTEX).

Objectives

This study aims to compare the levels of trans, trans-muconic acid (t, t MA); toluene (TU); mandelic acid (MA); and methyl hippuric acid (MHA) in the urine of gas station employees, considering demographic and occupational factors.

Material and methods

These employees worked either near or away from the fuel dispenser, and there 100 people in each group. Data were collected using interviews and testing environmental air and urine samples for benzene, toluene, ethyl benzene, and xylene (BTEX).

Results

The results showed that BTEX concentrations were just detectable in all 200 cases (100%). The mean (±SD) urine level of t, t MA was 449.28 (±213.32) μg/g creatinine, while the median (min-max) was 428.23 (95.58-1202.56) μg/g creatinine. The mean TU was 0.011 (0.001) mg/L, while the median (min-max) was 0.011 (0.010-0.013) mg/L. MA levels were higher inside the pollution control zone than they were outside the zone (p=.009). Employees who practiced poor personal hygiene had relatively high urinary toluene and MHA levels (p=.009) and those who did not wear personal protective equipment (PPE) had relatively high MA levels (p=.040).

Conclusion

The results of this study revealed statistically significant biomarkers influencing the levels of t, t MA; TU; MA; and MHA in urine. The recommendations of this study are that employers should provide their employees with suitable PPE, check regularly to ensure that it is worn, and strongly encourage employees to take care of their sanitation. Employees should take appropriate breaks and days off to minimize their exposure to BTEX.