scholarly journals Effects of personality on overtime work: a cross-sectional pilot study among Japanese white-collar workers

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Mitsuo Uchida ◽  
Minoru Kaneko ◽  
Shigeyuki Kawa
2007 ◽  
Vol 22 (2) ◽  
pp. 189-204 ◽  
Author(s):  
Joaquim J.F. Soares ◽  
Eija Viitasara ◽  
Gloria Macassa

Quality of life was compared for lifetime victimized (n = 353) and nonvictimized men (n = 167) for demographic and quality of life variables by a cross-sectional design. The univariate analyses showed that victims compared to nonvictims had a lower quality of life, were younger, more often had upper secondary school education, and were more often blue-collar/low white-collar workers, on student allowances, on unemployment, financially strained, and smokers. The regressions revealed that unemployment, financial strain, smoking, depression, and home/public abuse were associated with reduced quality of life among victimized men. Being a blue-collar/low/intermediate white-collar worker and social support were related to increased quality of life. This study may have provided new insights into the experiences of quality of life of victimized men.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Momoko Kayaba ◽  
Taeko Sasai-Sakuma ◽  
Yoshikazu Takaesu ◽  
Yuichi Inoue

Abstract Background The situation of work productivity loss due to sleep disorders/problems among workers in industrialized societies remains unclear. The purpose of this study was to clarify the prevalence of insomnia symptoms and actual situation of work productivity by job type (white-collars/blue-collars) among construction/civil engineering workers in Japan and evaluate the association between insomnia symptoms and work productivity adjusting for sleep duration and sociodemographic, work-related, and health-related variables. Methods This cross-sectional study included 17,828 construction/civil engineering workers (15,837 males and 1991 females) aged 40 to 74 years in Japan. The questionnaire consisted of socio-demographic characteristics, information on work productivity (work performance and absence), respective insomnia symptoms (difficulty initiating sleep; DIS, difficulty maintaining sleep; DMS, and early morning awakening; EMA), bedtime schedule, work-related factors (job type, working hours), and perceived health condition. To identify the associated factors of work productivity, the logistic regression analyses were conducted. Results The percentages of workers who reported to be experiencing DIS, DMS, and EMA were 7.9, 16.3, and 13.1%, respectively. Poor work performance was associated with every insomnia symptom in both the blue-collar and white-collar workers. Meanwhile, absence was associated with DIS in blue-collar workers and both DIS and DMS in white-collar workers; however, not with EMA in both the groups. In blue-collar workers, engagement in shift work was associated with poor work performance. Conclusions The present study revealed the association between insomnia symptoms and work productivity, suggesting the necessity of early prevention of insomnia among both blue-collar and white-collar workers.


2021 ◽  
Vol 30 (3) ◽  
pp. 288-294
Author(s):  
Nan Chen ◽  
Chang Gyeong Kim ◽  
Kang Jae Jerry Lee ◽  
Jaehyun Kim

PURPOSE: Rapid urbanization has witnessed a dramatic decrease in physical activity. The purpose of this research was to explore the vulnerable inactivity group influenced by urbanization in China.METHODS: Cross-sectional data from the 2015 China Health and Nutrition Survey were utilized. A total of 7,319 households, including 20,914 individuals within 12 provinces, were pooled. Seven types of physical activity were included in statistical testing. Community-level urbanization was measured on an urbanicity scale consisting of 12 dimensions. Cross-level logistic regression analysis was conducted to estimate the direct and interactive effects of individual socioeconomic statuses and community-level urbanization on a leisure time physical activity (LTPA). After removing incomplete responses, 8,617 samples were selected for the statistical analyses.RESULTS: Community-level urbanization was positively related to participation probability in the LTPA. With an increase of one standard deviation (SD) in the level of urbanization, the odds of participating in the LTPA increased by approximately six times in the most urbanized areas compared with the least urbanized areas. The effect of employment status on the probability of participation in the LTPA differed across the levels of urbanization in each community. For white-collar workers who resided in the most urbanized communities, the odds of participating in the LTPA decreased by approximately 46% compared to their peers in the least urbanized communities.CONCLUSIONS: Community-level urbanization should be addressed when developing interventions and health policies to promote physical activity during leisure time, especially for individuals who are white-collar workers living in urbanized communities.


Addiction ◽  
1992 ◽  
Vol 87 (1) ◽  
pp. 91-102 ◽  
Author(s):  
SHARON HARVEY ◽  
TONY BUTLER ◽  
RUTH LLOYD THOMAS ◽  
RACHEL JENKINS

Author(s):  
Keri K. Stephens

Much of the research on mobile communication has been cross-sectional, focused on a single organization at one point in time. White-collar workers are the ones most often studied because they pioneered the use of mobile devices. When they first hear about this research, they’re shocked to learn that everyone doesn’t communicate like they do. People from all backgrounds should realize that their own assumptions can blind them to understanding and being compassionate about differences. It might be a violation of others’ hopes for a colleague or friend to be unreachable during work hours, but people must learn how to have conversations that re-set expectations and allow them to take control over their own time. Finally, armed with this information, human resources and information technology professionals can design BYOD policies that provide the training and support to allow all types of workers to use mobile devices productively.


Sign in / Sign up

Export Citation Format

Share Document