Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę ""white collar workers"" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
White-Collar Workers’ Self-Reported Physical Symptoms Associated With Using Computers
Autorzy:
Korpinen, L.
Paakkonen, R.
Gobba, F.
Powiązania:
https://bibliotekanauki.pl/articles/89992.pdf
Data publikacji:
2012
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
white-collar workers
symptoms
questionnaire
computer
Opis:
The aim of our work was to study the physical symptoms of upper- and lower-level white-collar workers using a questionnaire. The study was cross-sectional with a questionnaire posted to 15 000 working-age persons. The responses (6121) included 970 upper- and 1150 lower-level white-collar workers. In the upper - and lower-level white-collar worker groups, 45.7 and 56.0%, respectively, had experienced pain, numbness and aches in the neck either pretty often or more frequently. When comparing daily computer users and nonusers, there were significant differences in pain, numbness and aches in the neck or in the shoulders. In addition, age and gender influenced some physical symptoms. In the future, it is essential to take into account that working with computers can be especially associated with physical symptoms in the neck and in the shoulders when workers use computers daily.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2012, 18, 2; 137-147
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Job Design and Innovative Work Behavior: One Size Does Not Fit All Types of Employees
Autorzy:
Spiegelaere, Stan De
Gyes, Guy Van
Hootegem, Geert Van
Powiązania:
https://bibliotekanauki.pl/articles/475117.pdf
Data publikacji:
2012
Wydawca:
Fundacja Upowszechniająca Wiedzę i Naukę Cognitione
Tematy:
Innovative Work Behavior
Job Design
HRM
white collar workers
blue collar workers
Opis:
As innovative employees become imperative for an organizations’ success, research identified job design as a crucial variable in promoting innovative work behavior (IWB) (Hammond et al.,2011). Using the Job Demands-Resources (JD-R) model of Bakker & Demerouti (2007), this article contributes to the literature as it uses recent insights on the distinction between job challenges and job hindrances (Van den Broeck et al., 2010) and distinguishes between blue- and white-collar employees. Using survey data of 893 employees of various organizations the findings generally confirm the JD-R model, although important differences were found between blue-collar and white-collar employees regarding the relation of organizing and routine tasks with IWB. Job content insecurity further was found to be very detrimental for blue-collar IWB. These findings have important HR and political implications as they show that there is no ‘one size fits all’ HR solution for innovation.
Źródło:
Journal of Entrepreneurship, Management and Innovation; 2012, 8, 4; 5-20
2299-7075
2299-7326
Pojawia się w:
Journal of Entrepreneurship, Management and Innovation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exposure to self-reported occupational noise and diabetes – A cross-sectional relationship in 7th European Social Survey (ESS7, 2014)
Autorzy:
Dzhambov, Angel M.
Powiązania:
https://bibliotekanauki.pl/articles/2161901.pdf
Data publikacji:
2017-06-19
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
noise
diabetes mellitus
occupational exposure
gender differences
white-collar workers
cross sectional
Opis:
Objectives Almost nothing is known about the effect of occupational noise on diabetes, and this is particularly relevant given the wide spread of both noise exposure and diabetes. This study has aimed to determine whether occupational noise exposure is associated with higher risk of diabetes in Europe. Material and Methods This study is based on 7th European Social Survey (ESS7, 2014) – a multi-country population-based questionnaire survey, which covered 28 221 Europeans aged ≥ 15 years old. Data on self-reported noise exposure, diabetes and other sociodemographic and work-related factors was available. The odds of prevalent diabetes were explored using unconditional logistic regression. Results In the total sample (N = 23 486), participants ever exposed to very loud noise had no substantive increase in the odds of diabetes (odds ratio (OR) = 1.01, 95% confidence interval (CI): 0.78–1.32). There were subgroups with non-significantly increased odds: men (OR = 1.12, 95% CI: 0.87–1.45), the elderly (OR = 1.09, 95% CI: 0.91–1.31), ethnic minority members (OR = 1.55, 95% CI: 0.91–2.62), those with secondary education (OR = 1.05, 95% CI: 0.78–1.41) and those living in small cities/towns (OR = 1.07, 95% CI: 0.89–1.29). Low-skilled white-collar workers had OR = 1.34 (95% CI: 1.09–1.64). Among participants employed during the preceding 5 years the odds were OR = 1.24 (95% CI: 0.95–1.61). Conclusions Self-reported occupational noise was not associated with increased odds of prevalent diabetes in the total sample. Sensitivity analyses revealed some subgroups with non-significantly higher odds. Our results suggest that further delve into the relationship between occupational noise and diabetes is feasible and warranted. Int J Occup Med Environ Health 2017;30(4):537–551
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2017, 30, 4; 537-551
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies