Self-Assessed Threshold Temperature for Cold among Poultry Industry Workers in Thailand

The self-assessed threshold temperature for cold in the workplace is not well known. We asked 392 chicken industry workers in Thailand what they regard as the cold threshold (CT) and compared subgroups of workers using linear and quantile regressions by CT sextiles (percentiles P17, P33, P50, P67, and P83, from warmest to coldest). The variables of interest were sex, office work, and sedentary work, with age, clothing thermal insulation, and alcohol consumption as adjustment factors. The mean CT was 14.6 ◦C. Office workers had a 6.8 ◦C higher mean CT than other workers, but the difference ranged from 3.8 ◦C to 10.0 ◦C from P17 to P83. Sedentary workers had a 2.0 ◦C higher mean CT than others, but the difference increased from 0.5 ◦C to 3.0 ◦C through P17–P83. The mean CT did not differ between sexes, but men had a 1.6–5.0 ◦C higher CT at P17–P50 (>20 ◦C) and a 5.0 ◦C lower CT at P83 ( 0.35 m/s) worksites. We conclude that office, sedentary, and female workers and those working at warm, dry, and draughty sites are sensitive to the coldest temperatures, whereas male workers are sensitive even to moderate temperatures

Respiratory and skin health among glass microfiber production workers: a cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Only a few studies have investigated non-malignant respiratory effects of glass microfibers and these have provided inconsistent results. Our objective was to assess the effects of exposure to glass microfibers on respiratory and skin symptoms, asthma and lung function.</p> <p>Methods</p> <p>A cross-sectional study of 102 workers from a microfiber factory (response rate 100%) and 76 office workers (73%) from four factories in Thailand was conducted. They answered a questionnaire on respiratory health, occupational exposures, and lifestyle factors, and performed spirometry. Measurements of respirable dust were available from 2004 and 2005.</p> <p>Results</p> <p>Workers exposed to glass microfibers experienced increased risk of cough (adjusted OR 2.04), wheezing (adjOR 2.20), breathlessness (adjOR 4.46), nasal (adjOR 2.13) and skin symptoms (adjOR 3.89) and ever asthma (adjOR 3.51), the risks of breathlessness (95%CI 1.68–11.86) and skin symptoms (1.70–8.90) remaining statistically significant after adjustment for confounders. There was an exposure-response relation between the risk of breathlessness and skin symptoms and increasing level of microfiber exposure. Workers exposed to sensitizing chemicals, including phenol-formaldehyde resin, experienced increased risk of cough (3.43, 1.20–9.87) and nasal symptoms (3.07, 1.05–9.00).</p> <p>Conclusion</p> <p>This study provides evidence that exposure to glass microfibers increases the risk of respiratory and skin symptoms, and has an exposure-response relation with breathlessness and skin symptoms. Exposure to sensitizing chemicals increased the risk of cough and nasal symptoms. The results suggest that occupational exposure to glass microfibers is related to non-malignant adverse health effects, and that implementing exposure control measures in these industries could protect the health of employees.</p

Asbestos Exposure among Mitering Workers

The objectives are to compare the airborne asbestos concentrations resulted from mitering of abestos cement roof sheets by a high-speed motor and a hand saw, and to monitor whether other workers near the test sites are vulnerable to the fibers exceeding the occupational exposure limit. Four test cases were carried out and altogether 7 personal and 4 area air samples were collected. The NIOSH method 7400 was employed for the air samplings and analysis. Using the phase contrast microscopy, fiber counting was conducted under Rule A. The study showed that the fiber concentration medians for personal air samples gathered from the two tools were 4.11 fibers/cc (ranged: 1.33-12.41 fibers/cc) and 0.13 fibers/cc (ranged: 0.01-5.00 fibers/cc) respectively. The median for the area samples was 0.59 fibers/cc (ranged: 0.14-3.32 fibers/cc). Comparing each study case, the concentration level caused by the high-speed motor saw was more than twice that of the hand saw. According to the area samples, the workers nearby the test site are at risk from high exposure to asbestos

Workplace Cold and Perceived Work Ability: Paradoxically Greater Disadvantage for More vs. Less-Educated Poultry Industry Workers in Thailand

The association between worksite temperature and perceived work ability (WA) in various educational classes remains unknown. Therefore, we interviewed 286 poultry industry workers in Thailand about their WA and linked their responses to worksite temperature. WA was based on the self-assessment of current work ability compared with their lifetime best ability (scores 0–10). Education was classified as high (university or vocational school) or low (less education). Temperature was classified as cold (−22–10◦C) or warm (10–23◦C). WA and the occurrence of a low WA were regressed on worksite temperature, education, and their interaction with the adjustment for sex, age, job category, physical work strain, moving between cold and warm sites, thermal insulation of clothing, relative humidity, and air velocity. The average worksite temperature was 10◦C for high- and 1◦C for low-educated workers. The average WA score was 8.32 (SD, 1.33; range, 4–10) and classified as low (<8) in 23% of the workers. In highly-educated workers, the adjusted mean WA decreased from 9.11 in the warm areas to 8.02 in the cold areas and the prevalence of a low WA increased from 11 to 30%, while no significant change was observed in less-educated workers. The WA score was estimated to decline by 10% more (95% CI, 4–16%) in the cold areas for the more vs. less-educated workers and the prevalence of a poor WA was estimated to increase 3.09 times (95% CI, 1.43–5.45) more. Highly-educated workers in this industry are a risk group that should be given customized advice

Active commuting and work ability: A cross-sectional study of chicken meat industry workers in Thailand

There is ample evidence regarding positive health effects of cycling or walking to work (active commuting [AC]). However, little is known about the effects of AC on work ability. Therefore, we examined 422 Thai chicken meat industry workers who assessed their current work ability (CWA) compared to their lifetime best by assigning scores ranging from 0 to 10. The CWA was compared between active and non-active commuters using linear regression, cumulative distributions, and quantile regression. Overall, 46 workers (11%) were active commuters. The average CWA score was 8.2 (standard deviation, 1.3; range, 4–10). It was higher by 0.5 units (95% confidence interval: 0.2–0.8) in active commuters. Cumulative distributions showed higher CWA scores among active commuters throughout the CWA scale, with the greatest difference (one CWA unit) at scores of 8–9. This benefit of AC persisted after adjustments and was observed at the 33rd, 50th, and 67th percentiles of CWA but not at percentiles higher or lower than the aforementioned ones. The model-predicted CWA scores for selected combinations of personal and work-related factors were up to two units higher among active commuters. In conclusion, active commuters have better work ability than non-active commuters. However, the potential effects may be limited to workers with good work ability. Relevance to the industry: Since commuting is a necessary daily activity for most of the working population, AC may offer great potential to produce positive effects on work ability and health. AC should be encouraged and included in health promotion programs at national and organizational levels

One Health Surveillance of Antimicrobial Resistance Phenotypes in Selected Communities in Thailand

Integrated surveillance of antimicrobial resistance (AMR) using the One Health approach that includes humans, animals, food, and the environment has been recommended by responsible international organizations. The objective of this study was to determine the prevalence of AMR phenotypes in Escherichia coli and Klebsiella species isolated from humans, pigs, chickens, and wild rodents in five communities in northern Thailand. Rectal swabs from 269 pigs and 318 chickens; intestinal contents of 196 wild rodents; and stool samples from 69 pig farmers, 155 chicken farmers, and 61 non-farmers were cultured for E. coli and Klebsiella species, which were then tested for resistance to ceftriaxone, colistin, and meropenem. The prevalence of ceftriaxone-resistant E. coli and Klebsiella species in pigs, chickens, rodents, pig farmers, chicken farmers, and non-farmers was 64.3%, 12.9%, 4.1%, 55.1%, 38.7%, and 36.1%, respectively. Colistin resistance in pigs, chickens, rodents, pig farmers, chicken farmers, and non-farmers was 41.3%, 9.8%, 4.6%, 34.8%, 31.6%, and 24.6%, respectively. Meropenem resistance was not detected. The observed high prevalence of AMR, especially colistin resistance, in study food animals/humans is worrisome. Further studies to identify factors that contribute to AMR, strengthened reinforcement of existing regulations on antimicrobial use, and more appropriate interventions to minimize AMR in communities are urgently needed

Climate warming and occupational heat and hot environment standards in Thailand

Abstract Background: During the period 2001 to 2016, the maximum temperatures in Thailand rose from 38–41°C to 42–44°C. The current occupational heat exposure standard of Thailand issued in 2006 is based on wet bulb globe temperature (WBGT) defined for three workload levels without a work–rest regimen. This study examined whether the present standard still protects most workers. Methods: The sample comprised 168 heat acclimatized workers (90 in construction sites, 78 in foundries). Heart rate and auditory canal temperature were recorded continuously for 2 hours. Workplace WBGT, relative humidity, and wind velocity were monitored, and the participants’ workloads were estimated. Heat-related symptoms and signs were collected by a questionnaire. Results: Only 55% of the participants worked in workplaces complying with the heat standard. Of them, 79% had auditory canal temperature ≤ 38.5°C, compared with only 58% in noncompliant workplaces. 18% and 43% of the workers in compliant and noncompliant workplaces, respectively, had symptoms from heat stress, the trend being similar across all workload levels. An increase of one degree (C) in WBGT was associated with a 1.85-fold increase (95% confidence interval: 1.44–2.48) in odds for having symptoms. Conclusion: Compliance with the current occupational heat standard protects 4/5 of the workers, whereas noncompliance reduces this proportion to one half. The reasons for noncompliance include the gaps and ambiguities in the law. The law should specify work/rest schedules; outdoor work should be identified as an occupational heat hazard; and the staff should include occupational personnel to manage heat stress in establishments involving heat exposure

Active commuting and work ability:a cross-sectional study of chicken meat industry workers in Thailand

Abstract There is ample evidence regarding positive health effects of cycling or walking to work (active commuting [AC]). However, little is known about the effects of AC on work ability. Therefore, we examined 422 Thai chicken meat industry workers who assessed their current work ability (CWA) compared to their lifetime best by assigning scores ranging from 0 to 10. The CWA was compared between active and non-active commuters using linear regression, cumulative distributions, and quantile regression. Overall, 46 workers (11%) were active commuters. The average CWA score was 8.2 (standard deviation, 1.3; range, 4–10). It was higher by 0.5 units (95% confidence interval: 0.2–0.8) in active commuters. Cumulative distributions showed higher CWA scores among active commuters throughout the CWA scale, with the greatest difference (one CWA unit) at scores of 8–9. This benefit of AC persisted after adjustments and was observed at the 33rd, 50th, and 67th percentiles of CWA but not at percentiles higher or lower than the aforementioned ones. The model-predicted CWA scores for selected combinations of personal and work-related factors were up to two units higher among active commuters. In conclusion, active commuters have better work ability than non-active commuters. However, the potential effects may be limited to workers with good work ability. Relevance to the industry: Since commuting is a necessary daily activity for most of the working population, AC may offer great potential to produce positive effects on work ability and health. AC should be encouraged and included in health promotion programs at national and organizational levels