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A Company of One
Being laid off can be a traumatic event. The unemployed worry about how they will pay their bills and find a new job. In the American economy's boom-and-bust business cycle since the 1980s, repeated layoffs have become part of working life. InA Company of One, Carrie M. Lane finds that the new culture of corporate employment, changes to the job search process, and dual-income marriage have reshaped how today's skilled workers view unemployment. Through interviews with seventy-five unemployed and underemployed high-tech white-collar workers in the Dallas area over the course of the 2000s, Lane shows that they have embraced a new definition of employment in which all jobs are temporary and all workers are, or should be, independent \"companies of one.\"
Following the experiences of individual jobseekers over time, Lane explores the central role that organized networking events, working spouses, and neoliberal ideology play in forging and reinforcing a new individualist, pro-market response to the increasingly insecure nature of contemporary employment. She also explores how this new perspective is transforming traditional ideas about masculinity and the role of men as breadwinners. Sympathetic to the benefits that this \"company of one\" ideology can hold for its adherents, Lane also details how it hides the true costs of an insecure workforce and makes collective and political responses to job loss and downward mobility unlikely.
eBook
The impact of telework allowance and utilization on physiological and perceived stress among Swedish white-collar workers
OBJECTIVE: We aimed to assess the impact of telework conditions on stress levels among 294 Swedish white-collar workers. METHODS: Telework during the COVID-19 pandemic was evaluated in terms of the allowance to telework (ie, the degree to which the employee could decide whether to telework), and the utilization of that allowance, using self-reported questions with answers dichotomized into ‘high’ and ‘low’. Perceived stress was measured using the Single Item Stress Question and physiological stress was measured using parameters of heart rate variability (HRV) continuously for three days [root mean square of successive differences (RMSSD) and standard deviation of the interbeat intervals of normal heart beats (SDNN)]. Multilevel linear mixed models examined the effects of telework allowance and utilization on perceived stress and HRV during work, leisure and sleep. RESULTS: High allowance was associated with higher HRV (lower stress), while a high utilization of telework was associated with higher perceived stress and lower HRV (more stress). After adjusting for age, sex, body mass index, and objectively measured physical activity, these associations became smaller and/or non-significant, with exception of high allowance still being positively associated with higher RMSSD. CONCLUSIONS: Our findings indicate that allowing employees more autonomy in telework decisions (ie, a high allowance in this study) is associated with reduced physiological stress. These results can be used by organizations to improve telework conditions (how, where and how much), while being observant that white-collar workers do not utilize increased autonomy to work extensively and for long hours outside work. Further verification, preferably using prospective designs, is needed to confirm our results.
Journal Article
Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
Background
The COVID-19 pandemic brought with it several changes, both regarding infection with COVID-19 itself as well as measures to combat the spread of infection, that might have affected sickness absence (SA) patterns. The aim was to explore whether incidence and length of SA changed between 2019, 2020, and 2021, as well as to determine factors associated with SA due to COVID-19 or COVID-like diagnoses among privately employed white-collar workers.
Methods
A cohort of all privately employed white-collar workers in 2018 in Sweden (
n
= 1 347 778; 47% women) was followed prospectively during 2019, 2020, and 2021 using linked nationwide register data. We calculated numbers and proportions of people with incident SA (in SA spells > 14 days) due to COVID-19, COVID-like diagnoses (certain respiratory, infectious, and symptom-based diagnoses used in the beginning of the pandemic for suspected COVID-19), and all other SA, respectively, and mean number of SA days with somatic and mental diagnoses. Logistic regression was used to determine odds ratios (OR) and 95% confidence intervals for associations between prior diagnosis-specific SA, sociodemographic and work-related factors and incident SA due to COVID-19 or COVID-like diagnoses.
Results
In 2020, 0.6% of the women and 0.3% of the men had incident SA due to COVID-19. For SA with COVID-like diagnoses, the corresponding proportions were 1.2% and 0.5%. The proportion of people with all other SA was stable across the years, at 8.1–8.4% for women and 3.7–3.9% for men. The mean number of SA days per person increased each year for somatic diagnoses but for mental diagnoses it decreased from 2019 to 2020 and increased to 2021 among women and men. Factors associated most strongly with incident SA due to COVID-19 or COVID-like diagnoses were low income (adjusted OR-range 1.36–5.67 compared to the highest income group) and prior SA due to COVID-like diagnoses (OR-range 4.67–5.31 compared to those with no such prior SA).
Conclusions
A small proportion of privately-employed white-collar workers had incident SA spells > 14 days due to COVID-19 or COVID-like diagnoses. The factors associated with SA due to COVID-19 were similar to factors associated with SA due to other diagnoses in previous studies.
Journal Article
Book from the ground : from point to point
\"Xu Bing spent seven years gathering materials, experimenting, revising, and arranging thousands of pictograms to construct this narrative. The result is a readable story without words recording 24 hours in the day of the life of a typical urban white-collar worker. Using an exclusively visual language, the text could be published anywhere without translation; anyone with experience in contemporary life can read it.\"--Page 4 of cover.
Book
Sickness absence after work accidents and post-traumatic stress among white-collar workers in the retail and wholesale industry; a longitudinal Swedish cohort study
Background
Most studies about accidents and about PTSD, respectively, have been conducted either on blue-collar workers, or on the entire working population. There are very few such studies on white-collar workers.
Aim
To examine diagnosis-specific sickness absence (SA) and disability pension (DP) after a work accident or PTSD, respectively, among white-collar workers in the private retail and wholesale industry.
Methods
A prospective population-based cohort study of all 192,077 such workers aged 18–67 (44% women) in Sweden in 2012, using linked microdata from nationwide registers. We identified individuals who had secondary healthcare due to work-related accidents (
n
= 1114; 31% women) or to PTSD (
n
= 216; 79% women) in 2012–2016. Their average number of net days of diagnosis-specific SA (in SA spells > 14 days) and DP were calculated for 365 days before and 365 days after the healthcare visit.
Results
35% of the women and 24% of the men had at least one new SA spell during the 365 days after healthcare due to work accidents. Among women, the average number of SA/DP days increased from 14 in the year before the visit to 31 days the year after; among men from 9 to 21 days. SA days due to fractures and other injuries increased most, while SA days due to mental diagnoses increased somewhat. 73% of women and 64% of men who had healthcare due to PTSD had at least one new SA spell in the next year. Women increased from 121 to 157 SA/DP days and men from 112 to 174. SA due to stress-related disorders and other mental diagnoses increased the most, while DP due to stress-related diagnoses and SA due to musculoskeletal diagnoses increased slightly.
Conclusions
About a quarter of those who had secondary healthcare due to work accidents, and the majority of those with such healthcare due PTSD, had new SA in the following year. SA due to injury and mental diagnoses, respectively, increased most, however, SA/DP due to other diagnoses also increased slightly. More knowledge is needed on factors associated with having or not having SA/DP in different diagnoses after work accidents and among people with PTSD.
Journal Article
Trajectories of sickness absence and disability pension days among 189,321 white-collar workers in the trade and retail industry; a 7-year longitudinal Swedish cohort study
Objective
1) identify different trajectories of annual mean number of sickness absence (SA) and disability pension (DP) days among privately employed white-collar workers in the trade and retail industries and 2) investigate if sociodemographic and work-related characteristics were associated with trajectory membership.
Methods
A longitudinal population-based cohort register study of all white-collar workers in the trade and retail industry in 2012 in Sweden (
N
= 189,321), with SA and DP data for 2010–2016. Group-based trajectory analysis was used to identify groups of individuals who followed similar trajectories of SA/DP days. Multinomial logistic regression was used to determine associations between sociodemographic and work-related factors and trajectory membership.
Results
We identified four trajectories of SA/DP days. Most individuals (73%) belonged to the trajectory with 0 days during all seven years, followed by a trajectory of few days each year (24%). Very small minorities belonged to a trajectory with increasing SA/DP days (1%) or to constantly high SA/DP (2%). Men had a lower risk of belonging to any of the three trajectories with SA/DP than women (OR Low SA/DP 0.42, 95% CI 0.41–0.44; Increasing SA/DP 0.34, 0.30–0.38; High SA/DP 0.33, 0.29–0.37). Individuals in occupations with low job control had a higher risk of belonging to the trajectory High SA/DP (OR low demands/low control 1.51; 95% CI 1.25–1.83; medium demands/low control 1.47, 1.21–1.78; high demands/low control 1.35, 1.13–1.61).
Conclusion
Most white-collar belonged to trajectories with no or low SA/DP. Level of job control was more strongly associated with trajectory memberships than level of job demands.
Journal Article