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Sagers, Jill. "Blue Collar Workers, Iowa." Iowa Journal of Cultural Studies 1994, no. 13 (1994): 55–69. http://dx.doi.org/10.17077/2168-569x.1170.
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Pugh, Nancy S. "Educating Blue Collar Workers." AAOHN Journal 40, no. 9 (September 1992): 419–22. http://dx.doi.org/10.1177/216507999204000902.
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The nurse who meets with workers to share practical information about safe work practices, health maintenance, and home safety has the privilege of working to make a difference in their lives. On each return visit to the workplace, the messages can be strengthened and reinforced by using appropriate intervention strategies. The workplace offers a fertile field for effective health education for blue collar workers. Health education can provide useful information and develop within blue collar workers a sense of empowerment that they have the capacity to develop and use improved health behaviors. Education based on workers’ value system, interests, and strengths will be the most likely to influence lifestyle choices.
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Naidu, Navinraj, and Anusuiya Subramaniam. "The sinking ship repair corporation: uncovering the untold tale." Emerald Emerging Markets Case Studies 13, no. 3 (November 10, 2023): 1–26. http://dx.doi.org/10.1108/eemcs-04-2023-0109.
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Learning outcomes At the end of the session, learners are expected to be able to evaluate the detrimental impact of stress on blue-collar workers’ well-being in Attainer Engineering Sdn Bhd; develop effective strategies to improve stressful conditions experienced by blue-collar workers in Attainer Engineering Sdn Bhd; analyse and select appropriate approaches that can help maintain the motivation levels of blue-collar workers in Attainer Engineering Sdn Bhd; analyse the impact of Attainer Engineering Sdn Bhd’s extensive investment in training new blue-collar workers, alongside the subsequent high turnover rate, on the decline in sales and profit; identify the critical changes that the managing director should have implemented to prioritize employee retention among blue-collar workers at Attainer Engineering Sdn Bhd; discuss the strategic implementation of mechanization, specifically in the context of automating repetitive processes, as an innovative solution to address the challenges faced by the ship repair and maintenance service industry heavily reliant on blue-collar workers in emerging markets; cultivate thoughtful debates on ways to keep blue-collar workers in the shipping repair and maintenance industry, as well as active learner participation and group interaction; develop learners’ analytical and critical thinking skills by guiding them through the analysis of a real-world case study in the shipping repair and maintenance industry, concentrating on the difficulties and potential solutions for blue-collar worker retention; and equip learners with practical knowledge and insights on implementing effective human resources strategies for retaining blue-collar workers in the shipping repair and maintenance industry, emphasizing the conversion of theoretical concepts into workable solutions. Case overview/synopsis This teaching case study centres on Attainer Engineering Sdn Bhd, a Malaysian conglomerate that bestows ship repair and maintenance services. Regrettably, the corporation has been subjected to a decrease in profitability and productivity owing to its high turnover rate of blue-collar workers. The ship repair and maintenance service industry is accountable for delivering comprehensive repair and maintenance services to ships, including their engines, hulls, machinery and other related components. The fundamental aim of this case study is to ascertain the rudimentary factors that contribute to this issue and foster effective strategies to enhance the motivation and retention rate of blue-collar workers in the ship repair and maintenance service corporation, using appropriate management theories, models and concepts. The case study brings to light the importance of discovering the most suitable approaches to retain blue-collar workers in the corporation to improve its profitability and productivity in a highly competitive market. This teaching case study will be beneficial for students and practitioners who want to grasp the disputes associated with retaining blue-collar workers in the ship repair and maintenance service industry and learn how to apply management theories, models and concepts to address these disputes effectively. Complexity academic level This case discussion would be highly suitable for undergraduate and postgraduate university students who are pursuing their studies in management or related fields and are eager to delve into the nuances of the ship repair and maintenance service industry. Furthermore, trainers from both private and public agencies who are keen on gaining a deeper understanding of the issues pertaining to retaining blue-collar workers in this particular industry and devising result-oriented strategies to tackle these concerns would also find this case discussion immensely helpful. Supplementary materials Teaching notes are available for educators only. Subject code CSS 6: Human resource management.
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Fox, Kathy C. "Nurses as Blue Collar Workers." Nursing Management (Springhouse) 17, no. 5 (May 1986): 10. http://dx.doi.org/10.1097/00006247-198605000-00003.
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Harumi, Wise, Nasri Bachtiar, and Neng Kamarni. "Guaranteed Return to Work for White-Collar and Blue-Collar Workers: Impact of Covid-19 in Western and Eastern Indonesia." Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning 6, no. 3 (December 31, 2022): 350–68. http://dx.doi.org/10.36574/jpp.v6i3.367.
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This study investigates the guaranteed recall likelihood of temporarily unemployed white-collar and blue-collar workers in the labour markets affected by Covid-19 in Indonesia’s western and eastern regions. The August 2020 microdata from Sakernas were used using logistic regression analysis. Descriptive analysis shows a balance of male and female workforce composition. However, the unemployment rate affected by Covid-19 is higher in western Indonesia than in eastern Indonesia. In the western part of Indonesia, the temporarily unemployed are more distributed in urban areas, while in the eastern part of Indonesia, they are more dispersed in rural areas. By gender, more men than women are temporarily unemployed due to Covid-19 in western and eastern Indonesia. Regression statistics show that layoffs and temporary layoffs impact white-collar and blue-collar workers differently. It can be seen that white-collar workers in western Indonesia have the highest return-to-work protection factor, while blue-collar workers in eastern Indonesia have the lowest. Urban areas provide blue-collar workers in eastern Indonesia with higher guaranteed chances of returning to work. Male white-collar workers in the Western Indonesia region are the most likely to return to work compared to other categories. The age variable is not significant for white-collar workers but is significant for blue-collar workers. The only significant education variable is the assurance that blue-collar workers in eastern Indonesia will return to work. An additional skill variant in the form of a course will provide a higher assurance of being recalled to work in the eastern region of Indonesia.
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Addison, John T., and Pedro Portugal. "Advance Notice and Unemployment: New Evidence from the 1988 Displaced Worker Survey." ILR Review 45, no. 4 (July 1992): 645–64. http://dx.doi.org/10.1177/001979399204500402.
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This paper examines how advance notice of layoff affects the incidence and duration of unemployment following displacement. The authors use the Displaced Worker Survey for 1988, which, unlike earlier surveys in the series, contains information on written notice. The results are mixed. Longer written notice may more than double the proportion of white-collar workers who move directly to new employment. But written notice has no such positive effects for blue-collar workers, regardless of its length. Informal (unwritten) notice benefits male workers, either by improving their chances of avoiding unemployment (white-collar men) or by reducing the average spell of unemployment (blue-collar men).
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Eslami, Ardalan, Najah T. Nassif, and Sara Lal. "Neuropsychological Performance and Cardiac Autonomic Function in Blue- and White-Collar Workers: A Psychometric and Heart Rate Variability Evaluation." International Journal of Environmental Research and Public Health 20, no. 5 (February 27, 2023): 4203. http://dx.doi.org/10.3390/ijerph20054203.
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The 21st century has brought a growing and significant focus on performance and health within the workforce, with the aim of improving the health and performance of the blue- and white-collar workforce. The present research investigated heart rate variability (HRV) and psychological performance between blue and white-collar workers to determine if differences were evident. A total of 101 workers (n = 48 white-collar, n = 53 blue-collar, aged 19–61 years) underwent a three lead electrocardiogram to obtain HRV data during baseline (10 min) and active (working memory and attention) phases. The Cambridge Neuropsychological Test Automated Battery, specifically the spatial working memory, attention switching task, rapid visual processing and the spatial span, were used. Differences in neurocognitive performance measures indicated that white-collar workers were better able to detect sequences and make less errors than blue-collar workers. The heart rate variability differences showed that white-collar workers exhibit lower levels of cardiac vagal control during these neuropsychological tasks. These initial findings provide some novel insights into the relationship between occupation and psychophysiological processes and further highlight the interactions between cardiac autonomic variables and neurocognitive performance in blue and white-collar workers.
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Aro, Seppo, Leena Räsänen, and Risto Telama. "Social Class and Changes in Health-Related Habits in Finland in 1973–1983." Scandinavian Journal of Social Medicine 14, no. 1 (March 1986): 39–47. http://dx.doi.org/10.1177/140349488601400107.
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The aim of this project was to study social class differences with respect to various health-related habits and especially to note the changes in these habits after a 10-year follow-up period. From this study conclusions can be drawn as to whether health education efforts and increased interest in personal health has been more widely adopted by the more educated groups than the less educated groups, whose morbidity and mortality rates are higher. The sample consisted of 902 white-collar and blue-collar workers. Smoking was found to be more common among blue-collar workers in both years. Smoking rates had declined in all groups except female blue-collar workers. Occasions of drinking were more frequent among white-collar than blue-collar workers. However, heavier forms of drinking were more common in male blue-collar than white-collar groups, while the opposite was true among women. Dietary habits in white-collar groups were closer to the “official” recommendations than in the respective blue-collar groups in both years. White-collar men were physically more active at the time of the first investigation, and even more so ten years later. Among women, social class differences were in the same direction, but less marked. In conclusion, in the early 1970s the health-related habits examined were, in most instances, less favourable among blue-collar than white-collar workers. No consistent pattern of change in these habits was observed in the 10-year follow-up. At the end of the follow-up, many of the “inequalities” still persisted.
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Chengcai, Feng, Sergey Ryazantsev, and Evgeniya Moiseeva. "Chinese Mobile Youth’s Intentions to Stay in the City." DEMIS. Demographic Research 1, no. 4 (November 19, 2021): 96–114. http://dx.doi.org/10.19181/demis.2021.1.4.8.
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In the new era, the motivation of young migrant white-collar and blue-collar workers to stay in cities is different. Through in-depth interviews, we found out that economic factors have different attraction mechanisms for migrant youth to stay in Shanghai. Income level is the most direct factor for migrant youth’ decision-making, but white-collar workers still pay more attention to the prospects of urban development. Social integration has different effects on the retention mentality of migrant youth as well. High-quality urban integration promotes the willingness of white-collar workers to stay in the city, and the weak sense of urban belonging of blue-collar workers does not hinder their urban retention decision-making. Living conditions have different push and pull effects on migrant youth staying in cities. White collar workers have better living conditions and can purchase real estate, so as to complete the process of citizenization*. Blue collar workers cannot buy real estate and have poor living conditions, so it is easy to push them out of the city. Policy factors also have different bonding effects on migrant youth’s residence. The policy has bonded high-quality white-collar workers and promoted their strong willingness to stay. However, it has squeezed blue collar workers to a certain extent, but it has no obvious effect on their decision-making and willingness to stay. Migrant young white-collar workers comprehensively measure various factors to determine whether to stay, while migrant young blue-collar workers mainly decide whether to stay based on income level. The decision-making and willingness of the new generation of migrant youth to stay in cities have tended to be reasonable. Based on this, this paper puts forward the idea of ‘tripartite promotion’ to promote the rational flow of youth.
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Kristinsson, Sigurdur Y., Asa R. Derolf, Paul W. Dickman, Gustaf Edgren, and Magnus Bjorkholm. "High Socioeconomic Status (SES) Is Associated with Superior Survival in Patients with Acute Myeloid Leukemia (AML) and Multiple Myeloma (MM). A Population-Based Study." Blood 110, no. 11 (November 16, 2007): 1485. http://dx.doi.org/10.1182/blood.v110.11.1485.1485.
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Abstract Introduction The association between SES and survival in MM and AML has not been studied in detail and the limited results are inconclusive. In the present study the impact of SES on survival was analyzed in a large population-based cohort of MM and AML patients. Patients and Methods From the Swedish Cancer Register we identified all individuals diagnosed with MM and AML between 1973 and 2003. We used type of occupation, combined into seven groups (blue-collar worker, farmer, lower white-collar worker, higher white-collar worker, self-employed, retired, and unknown), from the Swedish National Census Databases as a proxy for SES. The relative risk of death (any cause) in relation to type of occupation and calendar period was estimated using Cox’s proportional hazards regression adjusted for age, sex, calendar period and area of residence. We also conducted analyses stratified by calendar period (1973–1979, 1980–1989, 1990–1999, and 2000–2003). Results A total of 14,200 and 8,831 patients were diagnosed with MM and AML, respectively. The median age at diagnosis was 71.8 years in patients with MM and 69.1 years in AML. The SES distribution was similar between the two diseases. The majority of patients were blue-collar (38.0; 39.5%) and white-collar workers (36.4; 37%), with lower white-collar workers dominating the latter group. Women had a significantly lower mortality than men both among MM (p<0.001) and AML (p<0.05) patients. The mortality among patients diagnosed in more recent calendar periods was lower than among patients diagnosed earlier (p<0.001) Overall, higher white-collar workers had a significantly lower mortality compared to blue-collar workers for both MM (p<0.001) and AML (p<0.001). No significant differences were found between the other SES groups. In MM, analyses stratified by calendar period revealed that the mortality did not differ between the SES groups in the first two calendar periods, but in the third calendar period, 1990–1999, both higher and lower white-collar workers had a significantly lower mortality compared to blue collar workers, hazard ratios (HR) 0.85 (95% CI, 0.75–0.96) and 0.91 (95% CI 0.85–0.98), respectively. In the fourth period the mortality followed the same pattern as in the third period with lower mortality among both higher [HR 0.66 (95% CI, 0.50–0.88)] and lower [HR 0.82 (95% CI, 0.69–0.96)] white-collar workers. In AML patients no difference in mortality in relation to SES was found during the first calendar period. During the last three periods, however, a lower mortality was observed in higher white-collar workers compared to blue-collar workers, HR: 0.79 (0.66–0.95), 0.79 (0.67–0.93) and 0.74 (0.57–0.96) in the periods 1980–1989, 1990–1999 and 2000–2003, respectively. Conclusion SES, here defined as occupational profession, was significantly associated with prognosis in both MM and AML. Most conspicuously, a lower mortality was recorded in white-collar workers during more recent calendar periods. Differences in time to diagnosis (lead-time bias) and treatment strategies may be important factors contributing to this finding. Future studies may identify the relative impact of these and potentially other factors.
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Dėdelė, Miškinytė, Andrušaitytė, and Bartkutė. "Perceived Stress among Different Occupational Groups and the Interaction with Sedentary Behaviour." International Journal of Environmental Research and Public Health 16, no. 23 (November 20, 2019): 4595. http://dx.doi.org/10.3390/ijerph16234595.
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Sedentary lifestyle and low physical activity are associated with health issues, including both physical and mental health, non-communicable diseases, overweight, obesity and reduced quality of life. This study investigated differences in physical activity and other individual factors among different occupational groups, highlighting the impact of sedentary behaviour on perceived stress by occupation. Cross-sectional study included 571 full-time workers of Kaunas city, Lithuania. The outcome of this study was assessment of perceived stress. Time spent sedentary per day, occupation and other individual characteristics were self-reported using questionnaires. Two main occupational groups were analysed: white-collar and blue-collar workers. Multivariate logistic regression was used to assess the impact of sedentary behaviour on perceived stress among different occupational groups. The prevalence of high sedentary behaviour was 21.7 and 16.8 % among white-collar and blue-collar workers, respectively. Blue-collar workers had a higher risk of high perceived stress (OR 1.55, 95% CI 1.05–2.29) compared to white-collar workers; however, sedentary time did not have any impact on high perceived stress level. Meanwhile, white-collar male (OR 4.34, 95% CI 1.46–12.95) and white-collar female (OR 3.26, 95% CI 1.23–8.65) workers who spend more than three hours per day sedentary had a greater risk of high levels of perceived stress. These findings indicate sedentary behaviour effect on perceived stress among two occupational groups—white-collar and blue-collar workers—and other important factors associated with perceived stress.
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Ghahramani, Rahil, Mohammad Kermani-Alghoraishi, Hamid Reza Roohafza, Saeide Bahrani, Mohammad Talaei, Minoo Dianatkhah, Nizal Sarrafzadegan, and Masoumeh Sadeghi. "The Association between Occupational Categories and Incidence of Cardiovascular Events: A Cohort Study in Iranian Male Population." International Journal of Occupational and Environmental Medicine 11, no. 4 (October 26, 2020): 179–87. http://dx.doi.org/10.34172/ijoem.2020.2053.
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Background: Besides the traditional cardiovascular risk factor, some novel risk factors like occupation and career can play an important role in cardiovascular disease (CVDs) incidence. Objective: To assess the association between occupational categories and their positions with cardiovascular events (CVEs) in an Iranian male population. Methods: We followed 2134 men aged 35–65 years for 14 years during the Isfahan Cohort Study (2001–2015) for CVEs including ischemic heart disease and stroke. Firstly, Occupations were classified into 10 categories of International Standard Classification of Occupation (ISCO). Each category was then classified into one of the 4 pre-specified categories, namely high/low skilled white collars and high/low skilled blue collars. White-collar workers referred to managerial and professional workers in contrast with blue collar workers, whose job requires manual labor. Results: The mean age of studied participants was 46.9 (SD 8.3) years. 286 CVE incidents were recorded; unstable angina had the highest rate (46%); fatal stroke, the lowest (3%). There were no significant difference was observed between white and blue collars in terms of CVE incidence, as well as their high and low skilled subgroups. Hazard ratio analysis indicated a significantly higher risk of CVEs only for low-skilled white-collar workers (crude HR 1.47, 95% CI 1.01 to 2.13); this was not significant after adjustment for confounding variables. Conclusion: There is no association between occupational categories and incidence of cardiovascular events among Iranian male population.
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Ghahramani, Rahil, Mohammad Kermani-Alghoraishi, Hamid Reza Roohafza, Saeide Bahrani, Mohammad Talaei, Minoo Dianatkhah, Nizal Sarrafzadegan, and Masoumeh Sadeghi. "The Association between Occupational Categories and Incidence of Cardiovascular Events: A Cohort Study in Iranian Male Population." International Journal of Occupational and Environmental Medicine 11, no. 4 (October 26, 2020): 179–87. http://dx.doi.org/10.34172/ijoem.2020.2253.
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Background: Besides the traditional cardiovascular risk factor, some novel risk factors like occupation and career can play an important role in cardiovascular disease (CVDs) incidence. Objective: To assess the association between occupational categories and their positions with cardiovascular events (CVEs) in an Iranian male population. Methods: We followed 2134 men aged 35–65 years for 14 years during the Isfahan Cohort Study (2001–2015) for CVEs including ischemic heart disease and stroke. Firstly, Occupations were classified into 10 categories of International Standard Classification of Occupation (ISCO). Each category was then classified into one of the 4 pre-specified categories, namely high/low skilled white collars and high/low skilled blue collars. White-collar workers referred to managerial and professional workers in contrast with blue collar workers, whose job requires manual labor. Results: The mean age of studied participants was 46.9 (SD 8.3) years. 286 CVE incidents were recorded; unstable angina had the highest rate (46%); fatal stroke, the lowest (3%). There were no significant difference was observed between white and blue collars in terms of CVE incidence, as well as their high and low skilled subgroups. Hazard ratio analysis indicated a significantly higher risk of CVEs only for low-skilled white-collar workers (crude HR 1.47, 95% CI 1.01 to 2.13); this was not significant after adjustment for confounding variables. Conclusion: There is no association between occupational categories and incidence of cardiovascular events among Iranian male population.
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Nilsson, Kerstin, Roland Kadefors, Per-Olof Östergren, Lars Rylander, and Maria Albin. "O3D.5 National policies and social inequalities in exit paths from working life in sweden." Occupational and Environmental Medicine 76, Suppl 1 (April 2019): A28.3—A29. http://dx.doi.org/10.1136/oem-2019-epi.76.
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We investigated the impact on work life exits from reduced access to disability pension (2006), and financial incentives to extend working life.Method and materialWe used labour statistics, social insurance, and income data, for all employees in Sweden, to compare occupational groups (SSYK, based on ISCO-88), and blue and white collar workers, with regard to i) lost years in working life due to death, disability pension and long-term sick-leave preceding disability pension 2007–2010, ii) granted disability pensions 2007–2011, and iii) premature age pension in 2004 and 2011.ResultsYears lost in working life were similar for men and women in the same 1-digit SSYK occupational group, somewhat higher for those born outside Sweden, but showed a clear gradient from white to blue collar occupations, e.g. on average 0.39 ys versus 2.40 ys lost for Legislators/senior officials/managers and in Elementary occupations, respectively (women born in Sweden).In 2006 the prevalence of disability pension in the age group 50–64 was 3.61% among women and 2.49% among men, with 10/10 of the highest prevalence occupations (4-digit SSYK code) in men, and 9/10 in women, being blue collar ones. Approved applications decreased 2006–2011 by 74.4% in women, and 64.3% in men; for mental disorders (ICD-10-SE; F00-F99) 64.9% in women and 48.8% in men, for musculoskeletal disorders (M00-M99) 91.1% and 90.0%, respectively.The prevalence of premature age pension increased between 2004 and 2011: men 2.5% to 6.4%, women 1.7% to 5.5%. Blue collar occupations were most affected.ConclusionsThe socioeconomic divide in lost years of working life between white and blue collars prevailed. There was an apparent flow from disability to premature age pension, in particular in female blue collars. The findings indicate the budgetary savings of disability pensions transferred the economic burden of disease to individuals, and mainly to female blue collar workers.
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Trzmiel, Tomasz, Anna Pieczyńska, Ewa Zasadzka, and Mariola Pawlaczyk. "Respiratory Function and Muscle Strength Vs. Past Work Type: a Cross-Sectional Study Among Retirees." Canadian Geriatrics Journal 24, no. 4 (December 1, 2021): 297–303. http://dx.doi.org/10.5770/cgj.24.501.
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Objectives The aim of this cross-sectional study was to assess the effects of past occupational activity on muscle strength and respiratory function among retirees. Methods A total of 205 community-dwelling older adults participated in the study. Age (≥60 years) and cessation of professional activity (retirement) constituted the inclusion criteria. The International Standardized Classification of Occupations (ISCO-08) was used to stratify the participants into white-or blue-collar groups. Forced vital capacity (FVC), forced expiratory volume (FEV) in the first second, inspiratory vital capacity (IVC) parameters, and hand grip strength were tested. Results Statistically significant differences in IVC and FVC scores were found in white- and blue-collar workers after adjusting for sex and age (ANCOVA). White-collar men had significantly higher IVC as compared to blue-collar men. Conclusions Blue-collar male workers may be prone to deteriorating respiratory function in older age. It is vital to promote physical activity and educate blue-collar workers about the need to use respiratory protective equipment.
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Abelson, P. "Continuing education for blue-collar workers." Science 238, no. 4829 (November 13, 1987): 875. http://dx.doi.org/10.1126/science.3672129.
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Wilson, Suzanne, Rebecca J. Sisk, and Kathleen A. Baldwin. "Health Beliefs of Blue Collar Workers." AAOHN Journal 45, no. 5 (May 1997): 254–58. http://dx.doi.org/10.1177/216507999704500507.
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The study compared the health beliefs of participants and non-participants in a blood pressure and cholesterol screening held at the worksite. A cross sectional, ex-post facto design was used. Questionnaires measuring health beliefs related to cardiac screening and prevention of cardiac problems were distributed to a convenience sample of 200 blue-collar workers in a large manufacturing plant in the Midwest. One hundred fifty-one (75.5%) completed questionnaires were returned, of which 45 had participated in cardiac worksite screening in the past month. A multivariate analysis of variance was used to analyze data. Participants perceived significantly fewer barriers to cardiac screening and scored significantly higher on self efficacy than non-participants. These findings concur with other studies identifying barriers and self efficacy as important predictors of health behavior. Occupational health nurses' efforts are warranted to reduce barriers and improve self efficacy by advertising screenings, scheduling them at convenient times and locations, assuring privacy, and keeping time inconvenience to a minimum.
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Fletcher, Gena M., Timothy K. Behrens, and Lorie Domina. "Barriers and Enabling Factors for Work-Site Physical Activity Programs: A Qualitative Examination." Journal of Physical Activity and Health 5, no. 3 (May 2008): 418–29. http://dx.doi.org/10.1123/jpah.5.3.418.
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Background:Work sites offer a productive setting for physical activity (PA) promoting interventions. Still, PA participation remains low. Thus, the purpose of this study was to examine the reasoning behind commonly reported barriers and enabling factors to participation in PA programs in a work-site setting.Methods:Employees from a large city government were recruited to participate in focus groups, stratified by white- and blue-collar occupations. Responses from open-ended questions about factors influencing participation in PA programs were audio recorded and transcribed verbatim. Resulting data were analyzed with open and axial coding.Results:The sample consisted of 60 employees composing 9 focus groups. Although time was the most common barrier between both groups, white-collars workers responded that scheduling and work conflicts were the most common barrier concerning time. Blue-collar workers indicated shift work as their most common barrier. In addition, health was a significant enabling factor for both occupational categories. White-collar workers were much more concerned with appearances and were more highly motivated by weight loss and the hopefulness of quick results than were blue-collar workers.Conclusions:These findings are important in the understanding of PA as it relates to the reasoning behind participation in work-site programs in regard to occupational status.
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Saari, Tiina, Minna Leinonen, and Katriina Tapanila. "Sources of Meaningful Work for Blue-Collar Workers." Social Sciences 11, no. 1 (December 22, 2021): 2. http://dx.doi.org/10.3390/socsci11010002.
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Research on the meaningfulness of work has increased in recent years, yet there is a limited body of qualitative studies on the topic. This article analyzes how the four basic psychological needs, namely autonomy, competence, relatedness, and beneficence, are articulated as sources of meaningful work by blue-collar workers. The research data consist of responses (N = 679) to one open-ended question in a survey and semi-structured interviews (N = 29) with blue-collar workers from property services and the manufacturing industry in Finland. The data were analyzed by theory-driven content analysis. The main findings are: first, autonomy, competence, relatedness, and beneficence appear as sources of meaningfulness in blue-collar work. Second, blue-collar workers see their work as autonomous and requiring diverse competences. Relatedness in blue-collar work entails having good relations with co-workers and striving to maintain those relationships. Beneficence is multilevel: helping clients, co-workers, organization and even the whole society through work. Organizations should develop organizational practices that may enhance the meaningfulness of work, such as opportunities to use and develop occupational skills. This article participates in the discussion about how satisfying these four basic psychological needs can be a source of meaningful work and offers a sociological-contextual perspective on the discussion about meaningfulness of work.
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Grasshoff, Julia, Batoul Safieddine, Stefanie Sperlich, and Johannes Beller. "Gender inequalities of psychosomatic complaints at work vary by occupational groups of white- and blue-collar and level of skill: A cross sectional study." PLOS ONE 19, no. 7 (July 11, 2024): e0303811. http://dx.doi.org/10.1371/journal.pone.0303811.
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Background Previous research has shown that women report more psychosomatic complaints at work than men. However, knowledge about gender inequalities in psychosomatic complaints within occupational groups and specific symptoms is lacking. This study aims to compare gender inequalities in psychosomatic complaints in the occupational groups of white-collar high-skilled, white-collar low-skilled, blue-collar high-skilled and blue-collar low-skilled workers. Methods The study implemented a cross sectional design using data from the nationwide German Employment Survey of the Working Population on Qualification and Working Conditions conducted in 2017/ 2018. Psychosomatic complaints were operationalised by the following symptoms: headache, insomnia, tiredness, irritability, dejection, physical fatigue, and emotional fatigue. N = 20012 working German-speaking respondents were sampled. After excluding persons with missing data on the study variables, the sample consisted of N = 16359 persons. Results Women reported significantly more psychosomatic complaints than men in the subgroups of white-collar high-skilled and white-collar low-skilled (ps < .05), inequalities in blue-collar high-skilled and blue-collar low-skilled only being numerical. Regarding specific symptoms, women reported more psychosomatic complaints then men in the subgroups of white-collar high-skilled workers, white-collar low-skilled workers, and blue-collar low-skilled workers. Headaches, physical fatigue, and emotional fatigue were the most common symptoms. The white-collar high-skilled subgroup had the highest number of symptoms with significant gender inequalities. These effects remained after controlling for age, working hours, parental status and marital status. Conclusions Gender inequalities in psychosomatic complaints are ubiquitous but vary in their frequency by occupational subgroup and specific psychosomatic complaint. Women in white-collar high-skilled jobs in particular report to be burdened more often by many specific psychosomatic symptoms. Future studies should investigate the reasons for these occupational inequalities and develop interventions to reduce health inequalities in the workplace.
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Kamp, Tamara, Maaike G. J. Gademan, Sander K. R. van Zon, Rob G. H. H. Nelissen, Thea P. M. Vliet Vlieland, Martin Stevens, and Sandra Brouwer. "Time to return to work by occupational class after total hip or knee arthroplasty." Bone & Joint Journal 105-B, no. 9 (September 1, 2023): 977–84. http://dx.doi.org/10.1302/0301-620x.105b9.bjj-2023-0190.r1.
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AimsFor the increasing number of working-age patients undergoing total hip or total knee arthroplasty (THA/TKA), return to work (RTW) after surgery is crucial. We investigated the association between occupational class and time to RTW after THA or TKA.MethodsData from the prospective multicentre Longitudinal Leiden Orthopaedics Outcomes of Osteoarthritis Study were used. Questionnaires were completed preoperatively and six and 12 months postoperatively. Time to RTW was defined as days from surgery until RTW (full or partial). Occupational class was preoperatively assessed and categorized into four categories according to the International Standard Classification of Occupations 2008 (blue-/white-collar, high-/low-skilled). Cox regression analyses were conducted separately for THA and TKA patients. Low-skilled blue-collar work was used as the reference category.ResultsA total of 360 THA and 276 TKA patients, preoperatively employed, were included. Patients were mainly high-skilled (THA 57%; TKA 41%) or low-skilled (THA 24%; TKA 38%) white-collar workers. Six months post-THA, RTW rates were 78% of low-skilled blue-collar workers compared to 83% to 86% within other occupational classes, increasing after 12 months to 87% to 90% in all occupational classes. Six months post-TKA, RTW rates were 58% of low-skilled and 64% of high-skilled blue-collar workers compared to 80% to 89% of white-collar workers, and after 12 months 79% of low-skilled blue-collar workers compared to 87% to 92% within other occupational classes. High-skilled white-collar workers (THA: hazard ratio (HR) 2.12 (95% confidence interval (CI) 1.32 to 3.40); TKA: HR 2.31 (95% CI 1.34 to 4.00)) and low-skilled white-collar workers (TKA: HR 1.82 (95% CI 1.04 to 3.18)) had a higher hazard to RTW within six months postoperatively.ConclusionClear differences existed in time to RTW among both THA and TKA patients in each of the groups studied. These findings may help guide tailored patient-specific information during preoperative consultation and advice postoperatively, as well as to create awareness among workers and their employers.Cite this article: Bone Joint J 2023;105-B(9):977–984.
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Ostan, Iztok, Borut Poljšak, and Eva Podovšovnik Axelsson. "Occupational Stress Perception and Healthy Lifestyle in Railroad Workers." PROMET - Traffic&Transportation 23, no. 3 (June 28, 2011): 195–203. http://dx.doi.org/10.7307/ptt.v23i3.123.
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A survey was performed in 2008 on a representative stratified sample of 245 railroad employees in Slovenia (168 blue-collar and 77 white-collar workers) with the aim of exploring different dimensions of workers’ lifestyle health. For this purpose a special questionnaire was developed. The intensity of perceived job stress was measured with one general index based on a 4-point ordinal scale. There were 54.3% of employees who perceived their work as stressful or very stressful. No significant differences between blue- and white-collar workers were found. Twenty-six dimensions of lifestyle were measured. There were 66.9% of interviewed employees who were found to be overweight or obese (BMI 25 or higher). Differences in lifestyle between blue- and white-collar workers were not significant at the level of 0.05, except for some dimensions: blue-collar workers spend more time in the open air and sunlight and consume lunch as the main meal more regularly. In general, lifestyle was not confirmed as statistically significant (at 0.05 level) moderator of perceived job stress, explaining just 11% of variance. However, there are some dimensions that are significantly (P
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Massenkoff, Maxim, and Nathan Wilmers. "Wage Stagnation and the Decline of Standardized Pay Rates, 1974–1991." American Economic Journal: Applied Economics 15, no. 1 (January 1, 2023): 474–507. http://dx.doi.org/10.1257/app.20200819.
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Using new establishment-by-occupation microdata, we show that the use of discretionary wage setting significantly expanded in the 1970s and 1980s. Increasingly, wages for blue-collar workers were not standardized by job title or seniority but instead subject to managerial discretion. When establishments abandoned standardized pay rates, wages fell, particularly for the lowest-paid workers in a job and for those in establishments that previously paid above market rates. This shift away from standardized pay rates, in context of a broader decline in worker bargaining power, accelerated the decline in real wages experienced by blue-collar workers in the 1980s. (JEL J31, J33, J52, M52, O33)
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Prins, Peggy, David Stuer, and Ans de Vos. "Blue, White of Grey CollarsHoe Diep is Het Water Wanneer Het Gaat Om Zinvol Werk?" Tijdschrift voor HRM 21, no. 4 (January 1, 2002): 56–72. http://dx.doi.org/10.5117/thrm2018.3.prin.
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Werk heeft belangrijke zingevende functies en heeft daardoor een potentieel positief effect op het leven van mensen: het biedt idealiter een inkomen, het zorgt voor sociaal contact, het geeft meer zin en regelmaat aan het leven en het draagt potentieel bij aan iemands eigenwaarde en welzijnsgevoel. Of en waarom mensen hun werk als zinvol ervaren, is dan ook van oudsher een belangrijk vraagstuk in het arbeidspsychologisch en -sociologisch onderzoek. Wij zoomen in dit artikel in op de vraag welke verschillen bestaan in de gradatie en de determinanten van zinvol werk voor drie beroepsgroepen: de blue, white en grey collars. Waar de termen 'blue en white collars' gemeenzaam bekend zijn, is dat veel minder het geval voor de term 'grey collars'. Het gaat stereotiep om de 'grijze pakken', om de kader- of de leidinggevende functies. Hoe diep of ondiep is het water tussen deze drie groepen wanneer het gaat om percepties van (determinanten van) zinvol werk?How deep or shallow is the water between blue, withe and grey collars when it comes to perceptions of (determinants of) meaningful work? That’s the key focus of the article. In line with self-determination theory we examine the impact of (the fulfilling of the need of) autonomy and (the fulfilling of the need of) social support on experienced meaningfulness. Additionally, in line with Person-Environment Fit theory, we expect a mediation effect by needs-supply fit or misfit dependent on the type of professional ‘collar’ (blue, white or grey) of the employee. The results of the explanatory analysis of our survey (n=9307) shows that the expected relationships in our models are quite collar-independent, meaning that the drivers for meaningful work are almost the same for blue, white as well as for grey collars. This does not mean that the nature of the ‘collar’ of the workers has no impact at all. The descriptive results demonstrates less meaningful work perceptions, less needs-supply fit, less autonomy and social support for blue collar workers, compared with white and grey collars. Extra attention for those groups who are working in a more executive mode is therefore required.
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Stengård, Johanna, Marianna Virtanen, Constanze Leineweber, Hugo Westerlund, and Hui-Xin Wang. "The Implication of Physically Demanding and Hazardous Work on Retirement Timing." International Journal of Environmental Research and Public Health 19, no. 13 (July 1, 2022): 8123. http://dx.doi.org/10.3390/ijerph19138123.
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The need to retain individuals longer in the workforce is acknowledged in many high-income countries. The present study therefore aimed to examine the importance of physically demanding work tasks (PDWT) and physically hazardous work environment (PHWE) in relation to retirement timing among pensionable workers (≥61 years). A particular question was whether PDWT and PHWE increased in importance with age. Six waves (2008–2018) of the Swedish Longitudinal Occupational Survey of Health (SLOSH) were used (n = 5201; 56% women and 44% men; mean age at first survey was 61.0 (SD 2.0) years). Discrete time-event history analysis, stratified by socioeconomic position and gender, showed that among blue-collar workers, PDWT and PHWE were associated with an increased likelihood of retiring within the next two years. With increasing age, high-level PHWE was associated with higher probability of retiring among blue-collar men, whereas heavy PDWT was associated with lower probability of retiring among blue-collar women. Among white-collar workers, having at least some PDWT compared to no PDWT was associated with a lower likelihood of retiring within the next two years. With increasing age, exposure to PHWE was associated with higher probability of retiring among white-collar women. These results suggest that to delay retirements, organizations could offer their older employees, especially blue-collar workers and the oldest white-collar women, alternatives to PDWT and PHWE.
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Damen, Marc A. W., Sarah I. Detaille, Josephine A. Engels, and Annet H. De Lange. "Perceived Factors Influencing Blue-Collar Workers’ Participation in Worksite Health Promotion Programs in Freight Transport: A Qualitative Investigation Using the TDF and COM-B." International Journal of Environmental Research and Public Health 21, no. 1 (January 21, 2024): 116. http://dx.doi.org/10.3390/ijerph21010116.
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Blue-collar workers in the freight transport industry report a high risk of developing chronic diseases, partly due to an unhealthy lifestyle. Worksite health promotion programs (WHPPs) may be able to promote a healthier lifestyle, but participation among blue-collar workers in these programs is generally lower than among other workers. The current study aimed to further examine factors that can explain participation of blue-collar workers in these programs. A pragmatic, qualitative study was conducted, and semi-structured interviews were held with 32 blue-collar workers in freight transport in the Netherlands (94% men, 81% driver, mean age 48 (SD = 11)). The interview guide was based on the Theoretical Domains Framework (TDF) and Capability-Opportunity-Motivation-Behavior (COM-B) model, and was used to assess perceived determinants that influence participation. A combination of framework analysis and thematic analysis was conducted, which yielded the following nine main themes: (i) not being aware of WHPPs on offer, (ii) no clear picture of what to expect, (iii) (not) giving priority to health, (iv) expecting feedback and practical support, (v) being open and ready to change, (vi) preferring to be self-dependent, (vii) being offered a practical, fun and joint WHPP, (viii) having an employer who cares, thinks along and facilitates participation, and (ix) working and living in an environment in which a healthy lifestyle is not the norm. With these insights we were able to formulate recommendations to enhance the participation of blue-collar workers in WHPPs.
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Leonard, Catherine. "Tobacco Industry Targeting of Blue-Collar Workers." NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 14, no. 2 (August 2004): 149–61. http://dx.doi.org/10.2190/7mxx-q6c7-v7eg-lq5t.
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Infante, Peter F. "Cancer and Blue-Collar Workers: Who Cares?" NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 5, no. 2 (August 1995): 52–57. http://dx.doi.org/10.2190/ns5.2.j.
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Bagwell, Marilyn M., and Helen A. Bush. "Improving Health Promotion For Blue-Collar Workers*." Journal of Nursing Care Quality 14, no. 4 (July 2000): 65–71. http://dx.doi.org/10.1097/00001786-200007000-00010.
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Rettig, Salomon. "Freedom of Movement Among Blue Collar Workers." Journal of Social Distress and the Homeless 2, no. 1 (January 1993): 23–34. http://dx.doi.org/10.1007/bf01072430.
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Anggara, Valerie Febrina. "Perceived Meaning on McDonalds’ Happy Meal® Promotional Videos by Blue and White Collar Workers in Surabaya." K@ta Kita 6, no. 2 (November 16, 2018): 224–29. http://dx.doi.org/10.9744/katakita.6.2.224-229.
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This study observes the perceived meanings of McDonalds’ Happy Meal®promotional videos produced by two different social classes of workers, which are White and Blue Collar workers as respondents. After finding out what the perceived meanings are from the respondents, writer proceeds on to the analyzing process in order to find out the differences between White and Blue Collar respondents’ perceived meanings. The study uses descriptive qualitative approach to explain the meaning of qualitative material in a more systematic way. The writer concludes that white collar respondents tend to prioritize pride, prestige and esteem. Meanwhile, blue collar respondents tend to prioritize their primary needs and responsibilities before spending on secondary needs.
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Rombaut, Evy, and Marie-Anne Guerry. "Determinants of voluntary turnover: A data-driven analysis for blue and white collar workers." Work 69, no. 3 (July 16, 2021): 1083–101. http://dx.doi.org/10.3233/wor-213538.
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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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Morris, William R., Karen M. Conrad, Richard J. Marcantonio, Beth A. Marks, and Kurt M. Ribisl. "Do Blue-Collar Workers Perceive the Worksite Health Climate Differently Than White-Collar Workers?" American Journal of Health Promotion 13, no. 6 (July 1999): 319–24. http://dx.doi.org/10.4278/0890-1171-13.6.319.
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Howland, Marie, and George E. Peterson. "Labor Market Conditions and the Reemployment of Displaced Workers." ILR Review 42, no. 1 (October 1988): 109–22. http://dx.doi.org/10.1177/001979398804200109.
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The authors of this study use data from the January 1984 Current Population Survey to examine the impact of local labor market conditions on the financial losses of displaced manufacturing workers. They find that strong overall growth in the local economy reduced the economic losses of white-collar workers whose industry of displacement was declining, but not of blue-collar workers in the same situation. Most older, poorly educated blue-collar workers with long tenure at their pre-layoff job suffered large financial losses even when displaced in a growing local economy. All workers, including those who were young and well-educated, suffered large financial losses when located in a depressed local economy.
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Schmitz, Marina Anna. "Change in China? Taking stock of blue collars’ work values." Journal of Chinese Human Resource Management 10, no. 1/2 (October 14, 2019): 49–68. http://dx.doi.org/10.1108/jchrm-08-2018-0014.
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Purpose This paper aims to provide insights into current issues, such as changing expectations and needs of blue-collar workers, from both an employee and HR perspective, to provoke further research in the business context on this crucial cohort, as well as broaden the current understanding of Human Resources Management (HRM) measures and incentives implemented by the respective foreign companies. Design/methodology/approach The author conducted semi-structured interviews with 25 Chinese employees of German multinational companies working in the automobile industry located in Shanghai. Among them, 17 were blue-collar workers and 8 were white-collar workers (General Manager or HR Manager). Findings Besides factors attributed to work conditions, all of the work values are located in the individual domain, regarding their level of focus (Facet C according to Lyons et al.). Work values in the growth orientation domain (Facet B according to Lyons et al.) show a mix between context- and growth-oriented factors. However, context-oriented factors are still outnumbering the frequency of growth-oriented ones. Regarding the modality of work values (Facet A), all of the categories (instrumental, social, cognitive and prestige) were reflected in the answers of the blue-collar workers. Research limitations/implications Due to the limited number of interviewees no final statement can be made on how age, education, gender, or other demographics influence certain work values. Additionally, Inglehart and Abramson (1994) also mention other potential explanations for observed differences, such as inflation or unemployment rates, and per capita gross national product which were not discussed in this research. Furthermore, the HR management selected the interview candidates regarding the blue-collar cohort which could indicate biased answers of the interviewees. Practical implications HRM systems (e.g. reward systems or job design) should be adapted to meet the individual preferences of employees and be sensitive toward a potential value change among certain generational cohorts. The findings showed that although pay is still on the mind of the blue-collar worker, career development seems to be even more important for the future blue-collar workforce. Therefore, companies should as well consider non-financial retention strategies in the future. Social implications Due to the talent shortage in China, employee’s ability to assert their interests, wishes and values could be taken to a new level. However, this does not hold true for the (still increasing) flood of migrant workers, often suffering from bad working conditions or discrimination incurred by their hukou status. Although recent changes in the labor regime have taken place (e.g. social insurance reform and labor contract law), the protection of migrant workers still remains insufficient. Originality/value By examining the work values of blue-collar workers, this paper draws meaningful implications for talent management with regard to work outcomes, in particular voluntary employee turnover, which is considered to be an issue of concern by both economists and businessmen.
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Fenn, Ari, Zhi Li, Gabriel Pleites, Chimedlkham Zorigtbaatar, and Peter Philips. "The Effect of Prevailing Wage Repeals on Construction Income and Benefits." Public Works Management & Policy 23, no. 4 (February 20, 2018): 346–64. http://dx.doi.org/10.1177/1087724x18758340.
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While considerable research has examined the effects of prevailing wage law repeals on construction wages, little has been done on the repeals effect on benefits. Based on state-level data from the quinquennial Economic Census for construction from 1972 to 2012, we find that depending on sample and model specification, statewide annual average construction blue-collar income fell by 1.9% to 4.2%. Statewide annual average legally required benefits (social security, workers injury-compensation insurance, and unemployment insurance contributions) for blue- and white-collar construction employees combined fell from 3.8% to 10.1%. Statewide annual average voluntary benefits (primarily health insurance, pension contributions, and apprenticeship training) for blue- and white-collar construction employees combined fell from 11.2% to 16.0%. Because prevailing wage laws govern only blue-collar construction remuneration, blue-collar benefits probably fell more than blue- and white-collar benefits taken together.
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ALCAN, Veysel, and Caner DOĞRU. "Assessment of the Health Complaints among White-Collar and Blue-Collar Workers Using the Electronic Health Records." Karaelmas İş Sağlığı ve Güvenliği Dergisi 7, no. 1 (April 30, 2023): 1–10. http://dx.doi.org/10.33720/kisgd.1188839.
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Electronic health records (EHRs) are a useful tool to determine the causes and trends of work-related diseases in terms of periodic check-ups or emergency interventions at the workplace. To detect and prevent work-related diseases, EHRs could be important determinants for assessing interactions between health complaints and work-related factors. This study aimed to address the prevalence of diseases that cause potentially work-related diseases and the relationship between blue-collar/white-collar work status, by using EHRs. We retrospectively analyzed the clinical and demographic data from EHRs (46 white-collar and 94 blue-collar) by using descriptive and correlation statistic tests. We found that type 2 diabetes, influenza, acute pharyngitis, and liver fat had a higher prevalence among blue-collar workers while urinary infection and myalgia had a higher prevalence among white-collar workers. The work status had a very weak positive correlation with type 2 diabetes (r=0.236, p=0.005) and had a very weak negative correlation with myalgia (r=-0.167, p=0.048) and urinary infection (r= -0.248, p= 0.003). Consequently, the present study provided that the work status and EHRs are important determinants for assessing interactions between health complaints and work-related factors that were attributable to specific work status such as blue-collar and white-collar.
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Naveed, Resham. "Relative Factor Abundance and Relative Factor Price Equality in Punjab." LAHORE JOURNAL OF ECONOMICS 20, no. 1 (January 1, 2015): 105–33. http://dx.doi.org/10.35536/lje.2015.v20.i1.a4.
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This study tests the relative factor price equality across districts in Punjab using the methodology developed by Bernard, Redding, and Schott (2009) and data from the Census of Manufacturing Industries for 2000/01 and 2005/06. The results indicate the absence of relative factor price equalization due to the uneven distribution of factors in the province. Nonproduction (white-collar) workers) are relatively scarce in Punjab, which results in a wage premium for this type of labor. The study adjusts for worker quality by using a Mincerian wage equation as worker quality could explain the wage differential between white-collar and blue-collar workers. However, this exercise yields similar results, implying that factors are distributed unevenly across the districts of Punjab even after controlling for worker quality differences.
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Carrington, William J., and Kenneth R. Troske. "Sex Segregation in U.S. Manufacturing." ILR Review 51, no. 3 (April 1998): 445–64. http://dx.doi.org/10.1177/001979399805100305.
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This study of interplant sex segregation in the U.S. manufacturing industry improves on previous work by using more detailed information on the characteristics of both workers and firms and adopting an improved measure of segregation. The data source is the Worker-Establishment Characteristics Database (a U.S. Census Bureau database) for 1990. There are three main findings. First, interplant sex segregation in the U.S. manufacturing industry is substantial, particularly among blue-collar workers. Second, even in analyses that control for a variety of plant characteristics, the authors find that female managers tend to work in the same plants as female supervisees. Finally, they find that interplant sex segregation can account for a substantial fraction of the male/female wage gap in the manufacturing industry, particularly among blue-collar workers.
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Yan, Yiping, Abraham Leung, Matthew Burke, and James McBroom. "Understanding and including ‘pink-collar’ workers in employment-based travel demand models." PLOS ONE 19, no. 4 (April 18, 2024): e0301001. http://dx.doi.org/10.1371/journal.pone.0301001.
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The segmentation of commuters into either blue or white-collar workers remains is still common in urban transport models. Internationally, models have started to use more elaborate segmentations, more reflective of changes in labour markets, such as increased female participation. Finding appropriate labour market segmentations for commute trip modelling remains a challenge. This paper harnesses a data-driven approach using unsupervised clustering–applied to 2017–20 South East Queensland Travel Survey (SEQTS) data. Commuter types are grouped by occupational, industry, and socio-demographic variables (i.e., gender, age, household size, household vehicle ownership and worker skill score). The results show that at a large number of clusters (i.e., k = 8) a highly distinct set of commuter types can be observed. But model run times tend to require a much smaller number of market segments. When only three clusters are formed (k = 3) a market segmentation emerges with one female-dominated type (‘pink collar’), one male-dominated type (‘blue collar’) and one with both genders almost equally involved (‘white collar’). There are nuances as to which workers are included in each segment, and differences in travel behaviours across the three types. ‘Pink collar’ workers are mostly comprised of female clerical and administrative workers, community and personal service workers and sales workers. They have the shortest median commutes for both private motorised and active transport modes. The approach and methods should assist transport planners to derive more accurate and robust market segmentations for use in large urban transport models, and, better predict the value of alternative transport projects and policies for all types of commuters.
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Kristinsson, Sigurdur Yngvi, Åsa Rangert Derolf, Gustaf Edgren, Paul W. Dickman, and Magnus Björkholm. "Socioeconomic Differences in Patient Survival Are Increasing for Acute Myeloid Leukemia and Multiple Myeloma in Sweden." Journal of Clinical Oncology 27, no. 12 (April 20, 2009): 2073–80. http://dx.doi.org/10.1200/jco.2008.18.2006.
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Purpose An association between socioeconomic status (SES) and survival in acute myeloid leukemia (AML) and multiple myeloma (MM) has not been established in developed countries. We assessed the impact of SES on survival in two large population-based cohorts of AML and MM patients diagnosed in Sweden 1973 to 2005. Patients and Methods The relative risk of death (all cause and cause specific) in relation to SES was estimated using Cox's proportional hazards regression. We also conducted analyses stratified by calendar periods (1973 to 1979, 1980 to 1989, 1990 to 1999, and 2000 to 2005). Results We identified a total of 9,165 and 14,744 patients with AML and MM, respectively. Overall, higher white-collar workers had a lower mortality than other SES groups for both AML (P = .005) and MM (P < .005). In AML patients, a consistently higher overall mortality was observed in blue-collar workers compared with higher white-collar workers in the last three periods (hazard ratio [HR], 1.26; 95% CI, 1.05 to 1.51; HR, 1.23; 95% CI, 1.05 to 1.45; HR, 1.28; 95% CI, 1.04 to 1.57, respectively). In MM, no difference was observed in the first two calendar periods. However, in 1990 to 1999, self-employed (HR, 1.18; 95% CI, 1.02 to 1.37), blue-collar workers (HR, 1.18; 95% CI, 1.04 to 1.32), and retired (HR, 1.45; 95% CI, 1.16 to 1.80) had a higher mortality compared to higher white-collar workers. In 2000 to 2005, blue-collar workers had a higher mortality (HR, 1.31; 95% CI, 1.07 to 1.60) compared with higher white-collar workers. Conclusion SES was significantly associated with survival in both AML and MM. Most conspicuously, a lower mortality was observed among the highest SES group during more recent calendar periods. Differences in management, comorbidity, and lifestyle, are likely factors to explain these findings.
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Sołtysik, Bartłomiej Konrad, Joanna Kostka, Kamil Karolczak, Cezary Watała, and Tomasz Kostka. "What is the most important determinant of cardiometabolic risk in 60–65-year-old subjects: physical activity-related behaviours, overall energy expenditure or occupational status? A cross-sectional study in three populations with different employment status in Poland." BMJ Open 9, no. 7 (July 2019): e025905. http://dx.doi.org/10.1136/bmjopen-2018-025905.
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ObjectivesThe aim of the study was to determine whether cardiovascular risk factors may differ according to occupational status and whether physical activity related to total energy expenditure (PA-EE) and related to health-related behaviours (PA-HRB) is associated with common cardiovascular risk factors or metabolic syndrome in pre-elderly subjects.MethodsThree hundred subjects aged 60–65 were recruited and divided into three equal groups of white-collar, blue-collar workers and unemployed subjects; 50% were women. The subjects were tested for major cardiovascular risk factors such as smoking, anthropometric indices, blood pressure, lipid levels, glucose, uric acid and homocysteine. PA-EE and PA-HRB were assessed with PA questionnaires.ResultsBlue-collar workers displayed higher anthropometric indices, blood pressure and higher PA-EE in comparison with other two groups. PA-HRB had a positive impact on body mass indices, lipids, glucose, uric acid and the prevalence of metabolic syndrome, with no such relationship observed for PA-EE.ConclusionsThe greatest cardiovascular risk was observed in the blue-collar workers group. Only PA-HRB had a positive association with cardiometabolic risk profile. No relationship was observed for PA-EE. Thus, promoting everyday life and leisure time PA behaviours is crucial for preventing cardiometabolic risk in pre-elderly subjects, even in blue-collar workers with high work-related EE.
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Alaranta, H., H. Hurri, M. Heliövaara, A. Soukka, and R. Harju. "Non-dynamometric trunk performance tests: reliability and normative data." Journal of Rehabilitation Medicine 26, no. 4 (December 1, 1994): 211–15. http://dx.doi.org/10.2340/165019771994264211215.
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A sample of 508 male and female white-collar and blue-collar employees aged 35 to 54 years was evaluated clinically to determine the reliability of repetitive sit-ups, repetitive arch-ups, repetitive squatting, and static back endurance tests, to determine the normal values of these tests and to detect determinants for trunk muscle performance. All of the given tests had fairly good or even excellent test-retest reliability. Muscular performance capacity decreased with advancing age, particularly among blue-collar workers. Men showed greater muscle endurance in all the muscle tests, and blue-collar workers lower values in all tests. The repetitive tests, in particular, showed reduced values in those with previous low-back pain. Normative values of back endurance, repetitive squatting, sit-up and arch-up tests for different age, sex and occupational groups are presented.
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Gagyiova, Annina. "Show Me Your Watch, and I’ll Tell You Where You Work: Obtaining Scarce Goods via the Workplace in 1960s Socialist Hungary." Labor 17, no. 3 (September 1, 2020): 73–90. http://dx.doi.org/10.1215/15476715-8349368.
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In the field of consumption history there is growing interest in informal shopping practices, smuggling, and black-market activities in state socialist societies. Yet, little emphasis has been placed on how the foremost socialist workplace, the factory, became a crucial hub for smuggled goods and the extent to which workers played a role within it. This article explores local Budapest court cases from the beginning of the 1960s using the methodological insights of everyday history (Alltagsgeschichte). The cases show that white-collar workers (and in rare cases blue-collar workers) with a command of foreign languages frequently acted as middlemen in making transactions. This specific cultural capital put white-collar workers in a position to gain profit over and above their usual state salary, often contradicting wage hierarchies set by the state. At the same time, blue-collar workers embraced informal shopping possibilities at the factory in a climate of diversifying consumer expectations. This article examines how informal practices of selling and obtaining goods transformed relations among workers and created a new social hierarchy within working-class communities.
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Xie, Xiaohuan, Yinrong Li, Ruobing Wang, and Zhonghua Gou. "Park Recreation Intention and Satisfaction of Blue-Collar Workers Based on the ACSI Model: A Case Study of Anning Industrial Park in Yunnan." Land 12, no. 4 (March 31, 2023): 798. http://dx.doi.org/10.3390/land12040798.
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The negative effects of long working hours and shift work on the physical and mental health of blue-collar groups should not be underestimated. Under intense stress, they have limited time to access recreational green space, and their own health is thus affected. In this study, a conceptual model of recreational satisfaction among blue-collar workers was established based on the American Customer Satisfaction Index (ACSI). The model explores the factors affecting their level of satisfaction when using recreational spaces. Anning Industrial Park in Yunnan Province was used as an example. User data were collected and analyzed using a questionnaire survey and structural equation methods. The results indicate that recreation intention, perceived park quality characteristics, and perceived value all had significant and positive effects on the park recreation satisfaction of blue-collar workers. This study applied social economics theory to the field of landscape planning, identified the typical characteristics of blue-collar workers and their green space use, and strived to optimize the UGS configuration and functional facilities through the evaluation of recreation satisfaction indexes, which provided guidance and reference for improving the service quality of green spaces.
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Soares, Joaquim J. F., Eija Viitasara, and Gloria Macassa. "Quality of Life Among Lifetime Victimized Men." Violence and Victims 22, no. 2 (April 2007): 189–204. http://dx.doi.org/10.1891/088667007780477366.
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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.
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Detaille, Sarah, Adela Reig-Botella, Miguel Clemente, Jaime López-Golpe, and Annet De Lange. "Burnout and Time Perspective of Blue-Collar Workers at the Shipyard." International Journal of Environmental Research and Public Health 17, no. 18 (September 21, 2020): 6905. http://dx.doi.org/10.3390/ijerph17186905.
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Background: The aim of the research was to investigate the association between time perspective in relation to burnout and successful ageing of blue-collar workers with physically highly demanding work and low autonomy. Shipyard blue-collar workers usually do predominantly manual labor versus white-collar workers, whose jobs do not usually involve physical work. Methods: 497 participants workers in a shipyard in the north of Spain. Ages were between 20 and 69 (M = 46.62, SD = 10.79). We used the Zimbardo Time Perspective Instrument (ZTPI), Spanish version, and the Maslach Burnout Inventory–General Survey (MBI-GS). Results: Emotional exhaustion factor obtained a coefficient of 0.97; cynicism factor of 0.83; and professional efficacy factor of p = 0.86. The mean of the three reliability coefficients was 0.887. With respect to the five factors of the ZTPI questionnaire: the negative past factor obtained a coefficient of p = 0.91; that of positive past p = 0.81; the present hedonistic of 0.878; the future of p = 0.83; and the fatalistic present of p = 0.90. The mean of the five coefficients, was p = 0.86. Conclusions: Within shipyard workers, burnout is associated with a negative past and negative future time perspective. This makes shipyard workers at a higher risk of developing burnout and this can have serious consequences for the sustainable employability of these blue-collar workers.
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Chung, Woojin, Sunmi Lee, and Seungji Lim. "Differences Between the Factors Affecting High-Risk Drinking and Those Affecting Smoking in Korea." Asia Pacific Journal of Public Health 23, no. 6 (November 2011): 870–81. http://dx.doi.org/10.1177/1010539511425081.
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This study examines the factors influencing high-risk drinking and cigarette smoking and assesses the differences in those factors between 2 risky behaviors in Korea. A national, cross-sectional health behavior survey was performed on 12 303 households in 2006 and a data set of 2925 adult males was analyzed using bivariate probit estimation model. The likelihood of high-risk drinking rose with an increase in the level of income, whereas that of smoking was lowest in a medium income. White-collar workers were more at risk of high-risk drinking than blue-collar workers. Conversely, blue-collar workers tended to smoke more frequently than white-collar workers. Body mass index showed a positive association with high-risk drinking, but it had no significant relationship with smoking. Significant differences may exist in associations between factors influencing high-risk drinking and those influencing smoking. The comprehensive understanding of these differences would allow for the development of appropriate public health programs.
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Runge, Katharina, Sander K. R. van Zon, Ute Bültmann, and Kène Henkens. "Occupational Differences in Metabolic Syndrome Incidence Among Older Workers." Innovation in Aging 5, Supplement_1 (December 1, 2021): 51–52. http://dx.doi.org/10.1093/geroni/igab046.198.
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Abstract This study investigates whether the incidence of metabolic syndrome (MetS), and its components, differs by occupational group among older workers (45-65 years) and whether health behaviors (smoking, leisure-time physical activity, diet quality) can explain these differences. We analyzed data from older workers (N=23 051) from two comprehensive measurement waves of the Lifelines Cohort Study and Biobank. MetS components were determined by physical measurements, blood markers, medication use, and self-reports. Occupational group and health behaviors were assessed by questionnaires. The association between occupational groups and MetS incidence was examined using Cox regression analysis. Health behaviors were subsequently added to the model to examine whether they can explain differences in MetS incidence between occupational groups. Low skilled white-collar (HR: 1.25, 95% CI: 1.13, 1.39) and low skilled blue-collar (HR: 1.45, 95% CI: 1.25, 1.69) workers had a significantly higher MetS incidence risk during 3.65 years follow-up than high skilled white-collar workers. Health behaviors reduced the strength of the association between occupational group and MetS incidence most among low skilled blue-collar workers (i.e. 10.3% reduction) as unhealthy behaviors were more prevalent in this occupational group. Similar occupational differences were observed on MetS component level. To conclude, MetS incidence in older workers differs between occupational groups and health behaviors only explain a small part of these differences. Health promotion tailored to occupational groups may be beneficial specifically among older low skilled blue-collar workers. Research into other factors that contribute to occupational differences is needed, as well as studies spanning the entire working life course.
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Molino, Monica, Claudio G. Cortese, and Chiara Ghislieri. "The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training." International Journal of Environmental Research and Public Health 17, no. 7 (April 3, 2020): 2438. http://dx.doi.org/10.3390/ijerph17072438.
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Thanks to the rapid advances of technology, we are currently experiencing the fourth industrial revolution, which is introducing several changes in how organizations operate and how people learn and do their work. Many questions arise within this framework about how these transformations may affect workers’ wellbeing, and the Work and Organizational Psychology is called upon to address these open issues. This study aims to investigate personal and organizational antecedents (resilience, goal orientation and opportunities for information and training) and one consequence (work engagement) of technology acceptance within factories, comparing white- and blue-collar workers. The study involved a sample of 598 workers (white-collar = 220, blue-collar = 378) employed at an Italian company who filled in a self-report questionnaire. In both samples, the multi-group structural equation model showed a positive relationship between resilience, opportunities for information and training, and technology acceptance, which in turn showed a positive association with work engagement. All indirect effects were significant. This study investigated the motivational dynamics related to the introduction of new technologies within factories involving the little-studied population of blue-collar workers. Results highlighted the importance of providing information and opportunities for training to all employees, in order to support Industry 4.0 transformations without impacting on workers’ motivation.