Unemployment and mental health among white-collar workers - a question of work involvement and financial situation?

2003 ◽  
Vol 12 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Ulla Rantakeisu ◽  
Leif R. Jönsson
Keyword(s):  
Mental Health ◽  
White Collar ◽  
Financial Situation ◽  
Work Involvement ◽  
White Collar Workers

scholarly journals RECEIPTS AND INCOME OF HOUSEHOLDS IN POLAND

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Joanna Maria Kozak ◽  
Aldona Mrówczyńska-Kamińska
Keyword(s):  
Old Age ◽  
Gini Coefficient ◽  
Social Assistance ◽  
White Collar ◽  
Financial Situation ◽  
The Gini Coefficient ◽  
White Collar Workers ◽  
Real Increase ◽  
Household Members ◽  
Household Budget Surveys

This article aims to assess the income situation of households in Poland, considering the level of receipts and in[1]come as well as their dynamics and structure. An analysis was also carried out with respect to differences between particular socio-economic groups and between households depending on the number of persons in a household. The Gini coefficient was used for analytical purposes. Moreover, an attempt was made to identify the causes of income diversification. The analysis was carried out based on data derived from household budget surveys conducted by Statistics Poland. The research covered the period from 2000 to 2019 (individual years). The study showed a real increase in the average monthly net receipts and available income in all households. The most favour[1]able financial situation was observed in white-collar workers, self-employed persons and one-person households. The least favourable income situation was found in households of blue[1]collar workers and pensioners and households of six or more persons. However, attention should also be paid to changes taking place in the structure of sources of income generated by household members. There is an increase in income from hired work and social assistance benefits. The highest variations in receipts and available income were observed in households of farmers and those of six or more persons. In contrast, the smallest variations were recorded with respect to households of old-age pensioners and one-person households.

scholarly journals Occurrence of Mental Illness and Mental Health Risks among the Self-Employed: A Systematic Review

2021 ◽  
Vol 18 (16) ◽  
pp. 8617
Author(s):  
Kristina Willeke ◽  
Patrick Janson ◽  
Katharina Zink ◽  
Carolin Stupp ◽  
Sarah Kittel-Schneider ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Disorders ◽  
White Collar ◽  
Population Based ◽  
The Self ◽  
Cross Sectional ◽  
Self Employment ◽  
White Collar Workers ◽  
Cross Sectional Studies

We aimed to systematically identify and evaluate all studies of good quality that compared the occurrence of mental disorders in the self-employed versus employees. Adhering to the Cochrane guidelines, we conducted a systematic review and searched three major medical databases (MEDLINE, Web of Science, Embase), complemented by hand search. We included 26 (three longitudinal and 23 cross-sectional) population-based studies of good quality (using a validated quality assessment tool), with data from 3,128,877 participants in total. The longest of these studies, a Swedish national register evaluation with 25 years follow-up, showed a higher incidence of mental illness among the self-employed compared to white-collar workers, but a lower incidence compared to blue-collar workers. In the second longitudinal study from Sweden the self-employed had a lower incidence of mental illness compared to both blue- and white-collar workers over 15 years, whereas the third longitudinal study (South Korea) did not find a difference regarding the incidence of depressive symptoms over 6 years. Results from the cross-sectional studies showed associations between self-employment and poor general mental health and stress, but were inconsistent regarding other mental outcomes. Most studies from South Korea found a higher prevalence of mental disorders among the self-employed compared to employees, whereas the results of cross-sectional studies from outside Asia were less consistent. In conclusion, we found evidence from population-based studies for a link between self-employment and increased risk of mental illness. Further longitudinal studies are needed examining the potential risk for the development of mental disorders in specific subtypes of the self-employed.

Association Between Job-Stress and VDT Work, and Musculoskeletal Symptoms of Neck and Shoulder Among White-Collar Workers

2007 ◽  
Vol 19 (3) ◽  
pp. 187 ◽  
Author(s):  
Eui Cheol Lee ◽  
Hawn Cheol Kim ◽  
Dal Young Jung ◽  
Dong Hyun Kim ◽  
Jong Han Leem ◽  
...  
Keyword(s):  
Job Stress ◽  
White Collar ◽  
Musculoskeletal Symptoms ◽  
White Collar Workers

scholarly journals Design of female white-collar office chair based on ergonomics

2020 ◽  
Vol 179 ◽  
pp. 02101
Author(s):  
Jiao Hu ◽  
Qing Yin ◽  
Canqun He
Keyword(s):  
Field Research ◽  
White Collar ◽  
Office Workers ◽  
Current Status ◽  
Work Efficiency ◽  
Literature Research ◽  
Daily Work ◽  
White Collar Workers ◽  
Long Time ◽  
Office Chair

In the daily work of office workers, the comfort of the office chair has a great impact on the staff’s work efficiency and human health. Sitting on the office chair for a long time may cause diseases such as cervical, shoulder, and lumbar spine. This article uses online literature research, brand analysis, and offline field research to understand the current status and deficiencies of office chairs, find design points and design directions, and based on ergonomics and sitting analysis research, design general office chairs for female white-collar workers to achieve a comfortable and healthy office purpose.

scholarly journals Determinants of voluntary turnover: A data-driven analysis for blue and white collar workers

Work ◽  
2021 ◽  
pp. 1-19
Author(s):  
Evy Rombaut ◽  
Marie-Anne Guerry
Keyword(s):  
Turnover Intentions ◽  
Voluntary Turnover ◽  
White Collar ◽  
Interview Data ◽  
Data Driven ◽  
Employee Behavior ◽  
Number Of Children ◽  
White Collar Workers ◽  
Specific Factors ◽  
Actual Turnover

BACKGROUND: There is a growing interest in HR-analytics because of its ability to analyze employee behavior based on HR data. Predicting voluntary turnover of employees is an important topic of study, both in academia and industry. OBJECTIVE: The current study analyzes determinants for turnover, distinguishing between blue and white collar workers. The turnover analyses are based on a dataset from a payroll company, in contrary to previous turnover studies that used survey and interview data. METHODS: The studied dataset contains demographic and work specific factors for more than 380000 employees in 15692 Belgian corporations. Logistic regression is used to estimate individual turnover probabilities, the goodness of the model is tested with the AUC method. RESULTS: The study confirms turnover determinants and differences between blue and white collar workers that were described in previous work based on survey and interview data. Additionally, the study exposes so far unstudied turnover determinants and differences between blue and white collar workers. Confirmed determinants are among others age, seniority, pay and work distance. New determinants are company car, meal vouchers, night work and sickness. Different relationships to turnover are revealed for blue and white collar workers based on gender, number of children, nationality and pay. CONCLUSIONS: The presented dataset-based approach has its merit in analyzing turnover: it enables to study actual turnover instead of turnover intentions, and reveals new turnover determinants and differences between blue and white collar workers.

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