Workplace Cold and Perceived Work Ability
Paradoxically Greater Disadvantage for More vs. Less-Educated Poultry Industry Workers in Thailand
Bibliographic Data
| ID | 22080539 |
|---|---|
| Authors | Wantanee Phanprasit (0000-0002-3928-3111, Mahidol University), Pajaree Konthonbut (0000-0002-2616-747X, Mahidol University), Wisanti Laohaudomchok (0000-0003-3790-2801, Mahidol University), Chaiyanun Tangtong (0000-0002-5070-0801, Mahidol University), Tiina M Ikäheimo (0000-0002-2763-6004, UiT The Arctic University of Norway), Jouni J K Jaakkola (0000-0003-4168-4683, University of Oulu), Simo Näyhä (0000-0002-2063-3118, University of Oulu, corresponding author) |
| Year | 2021 |
| Volume | 9 |
| Pages | 762533-762533 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.762533 |
| PMID | 34926385 |
| OpenAlex | W3217645616 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
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
Clothing · Disadvantage · Environmental health · Geography · Political science · Sociology · Building Energy and Comfort Optimization · Climate Change and Health Impacts · Demography · Engineering · Medicine · Thermoregulation and physiological responses · Gerontology
Predictive Margins with Survey Data
Trends in socioeconomic inequalities in self-assessed health in 10 European countries
Projections of temperature-related excess mortality under climate change scenarios
Cold-related symptoms and performance degradation among Thai poultry industry workers with reference to vulnerable groups
Socioeconomic inequalities in life and health expectancies around official retirement age in 10 Western-European countries
Influence of material and behavioural factors on occupational class differences in health
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |