Degemination in Emirati Pidgin Arabic: A Sociolinguistic Perspective

This study examines the production of geminates in Emirati Pidgin Arabic (EPA) spoken by blue-collar workers in the United Arab Emirates. A simple naming test was designed to test the production of geminates to determine whether the EPA speakers would produce a geminated or degeminated phoneme. Following that, a semi-structured interview was conducted with a subset of the study cohort to obtain the participants’ own explanation of where they degeminated the consonants. Our findings suggest that the exercising of this choice functions as a sociolinguistic strategy, akin to the one observed by Labov in his study of Martha’s Vineyard. In particular, our findings show that speakers of EPA are inclined to degeminate consonantal geminates to establish themselves as members of a particular social group. The reasons for wanting to achieve this aim were given as follows: to claim privileges only available to members of this group (such as employment); and to distinguish themselves from the dominant cultural group. The study concludes that degemination in EPA has developed into a sociolinguistic solidarity marker.

Are U.S. Professionals and Managers More Left Than Blue-Collar Workers? An Analysis of the General Social Survey, 1974 to 2018

Social science interest in professionals and managers as a left- and liberal-trending stratum has increased in recent years. Using General Social Survey data over a 44-year period, the authors examine 15 attitudes spanning social, economic, and political identity liberalism. On nearly all attitudes, professionals and managers have trended in a liberal direction, have liberalized more quickly than blue-collar workers, and are either as or more liberal than blue-collar workers. The authors find that the higher levels of education among professionals and managers, their tendency to adopt nonauthoritarian outlooks, and their lower propensity to identify with fundamentalist religion mediate their more liberal trends vis-à-vis blue-collar workers. Conversely, their higher relative incomes suppress the extent of their economic and criminal justice liberalism. The authors’ theorization links changes in the macro-economy to growing gaps in the composition of the two strata and the activities of politicians and parties to consolidate emerging political differences.

Sources of Meaningful Work for Blue-Collar Workers

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.

Respiratory Function and Muscle Strength Vs. Past Work Type: a Cross-Sectional Study Among Retirees

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.

Occupational Differences in Metabolic Syndrome Incidence Among Older Workers

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.

Consolidated Advantage: New Organizational Dynamics of Wage Inequality

The two main axes of inequality in the U.S. labor market—occupation and workplace—have increasingly consolidated. In 1999, the largest share of employment at high-paying workplaces was blue-collar production workers, but by 2017 it was managers and professionals. As such, workers benefiting from a high-paying workplace are increasingly those who already benefit from membership in a high-paying occupation. Drawing on occupation-by-workplace data, we show that up to two-thirds of the rise in wage inequality since 1999 can be accounted for not by occupation or workplace inequality alone, but by this increased consolidation. Consolidation is not primarily due to outsourcing or to occupations shifting across a fixed set of workplaces. Instead, consolidation has resulted from new bases of workplace pay premiums. Workplace premiums associated with teams of professionals have increased, while premiums for previously high-paid blue-collar workers have been cut. Yet the largest source of consolidation is bifurcation in the social sector, whereby some previously low-paying but high-professional share workplaces, like hospitals and schools, have deskilled their jobs, while others have raised pay. Broadly, the results demonstrate an understudied way that organizations affect wage inequality: not by directly increasing variability in workplace or occupation premiums, but by consolidating these two sources of inequality.

Sustainable Energy Skills in the Construction Sector 2.0

In this workshop, we discussed the targets, current status, and future plans of 10 Horizon 2020 projects—ARISE, BUSLeague, TRAIN4SUSTAIN, BIMzeED, SEEtheSkills, HP4ALL, INSTRUCT, PRO-Heritage, The nZEB Roadshow, and CraftEdu—about how to increase the number of skilled building professionals and/or blue-collar workers across the building design, operation, and maintenance value chain.

Objectively-measured physical activity and stress levels in workers: a systematic review physical activity and stress in workers

To investigate the relationship between objectively measured physical activity and occupational stress in different work environments. This systematic review, registered in the PROSPERO database (CRD42020214884), followed the PRISMA methodology. The search took place in October/2020 in the following databases: Web of Science, SPORTDiscus, MedLine/PubMed, PsycINFO, EMBASE, OVID MEDLINE, Scielo and CINAHL. Keywords related to eligible participants (adults and workers), interventions (physical activity objectively measured), comparison (control group or baseline), outcome (stress), and study design (observational studies) were combined using Boolean terms. From 1,524 identified records, 12 articles were included, totaling 2,082 workers. 66.7% of the studies were carried out in Europe and 50.0% among health professionals. Blue collar workers (20.7% [n = 430]) and white collar workers (18.3% [n = 382]), medical resident (6.5% [n = 135]) and protection services (9.7% [n = 202]) were the predominant occupations. Physical activity was higher in blue-collar workers than in white-collar workers, and shift-working nurses were more active compared to non-shift workers and office workers. Increased mental workload was not associated with time spent on physical activities in most studies (10 [83.3%)]). Some studies showed that light physical activity was associated with higher levels of stress and moderate to vigorous physical activity was beneficial for reducing stress dimensions. In conclusion, most studies did not find an association between objectively measured physical activity and the level of stress in workers. Studies with robust methodologies and covering different groups of workers remain necessary.

Identification of occupations susceptible to high exposure and risk associated with multiple toxicants in an observational study: National Health and Nutrition Examination Survey 1999-2014

Background: According to the World Health Organization, occupational exposures to hazardous chemicals are estimated to cause over 370,000 premature annual deaths. The risks due to multiple workplace chemical exposures, and those occupations most susceptible to the resulting health effects, remain poorly characterized. Objectives: The aim of this study is to identify occupations with elevated toxicant biomarker concentrations and increased health risk associated with toxicant exposures in a working US population from diverse categories of occupation. More specifically, we aim to 1) define differences in chemical exposures based on occupation description, 2) identify occupational groups with similar chemical exposure profiles, and 3) identify occupational groups with chemical biomarker levels exceeding acceptable health-based biomarker levels. Methods: For this observational study of 51,008 participants, we used data from the 1999-2014 National Health and Nutrition Examination Survey. We characterized differences in chemical exposures by occupational group for 129 chemicals by applying a series of generalized linear models with the outcome as biomarker concentrations and the main predictor as the occupational groups, adjusting for age, sex, race/ethnicity, poverty income ratio, study period, and biomarker of tobacco use. We identified groups of occupations with similar chemical exposure profiles via hierarchical clustering. For each occupational group, we calculated percentages of participants with chemical biomarker levels exceeding acceptable health-based guidelines. Results: Blue collar workers from "Construction", "Professional, Scientific, Technical Services", "Real Estate, Rental, Leasing", "Manufacturing", and "Wholesale Trade" have higher biomarker levels of toxic chemicals such as several heavy metals, acrylamide, glycideamide, and several volatile organic compounds compared to their white-collar counterparts. For these toxicants, 1-58% of blue-collar workers from these industries have toxicant concentrations exceeding acceptable levels. Discussion: Blue collar workers have toxicant levels higher relative to their white-collar counterparts, often exceeding acceptable levels associated with noncancer effects. Our findings identify multiple occupations to prioritize for targeted interventions and health policies to monitor and reduce high toxicant exposures.