Working-time regulation, long hours working, overemployment and mental health

Diversity of flexible working time arrangements and workers' health: An analysis of a workers' panel and linked employer-employee data for France

Flexible working time arrangements (FWTA) have increased over the last decades, favored by labor market deregulation, the decentralization of collective bargaining and the development of new technologies. The negative impact of some non-standard working hours on health (like night work, shift work) is quite well-known but other forms of FWTA have been studied less so far. This article aims to investigate the relationship between FWTA and workers' health. It focuses on employer-oriented FWTA and uses a job demands-control framework to identify different types of working time demands and control. The study uses individual data from the French working conditions survey, including panel data from 2013 to 2019 (64,981 observations) and cross-sectional employer-employee linked data from 2019 (5687 employees from 4672 workplaces). We identify empirically two main dimensions of employer-oriented FWTA, based on 14 working time variables. The first type involves "atypical working hours", such as working weekends, nights, early mornings, evenings, or doing shift work. The second type - "work overflow" - is characterized by long working hours, overtime, taking work home, and having variable working hours. Using a fixed-effects model based on panel data, we show that both types of FWTA have a negative impact on workers' self-rated general health and mental health, as measured by the WHO-5 index. The study also finds that workers who have more control - both individual and collective - to face these demands demonstrate better health. Workers with control over their working hours report better health and are less negatively affected by FWTA. Moreover, workplace-level practices have ambiguous relationships with workers' health. However, those involving social dialogue and workers' participation have more favorable effects: the positive effect of health and safety committees is especially clear. To improve workers' health in the context of increased flexible working time arrangements, public policies should promote the development of control over working time and participation of workers to social dialogue on working time related issues.

Unpaid overtime and mental health in the Canadian working population

BACKGROUND

Unpaid overtime-describing a situation where extra hours are worked but not paid for-is a common feature of the labor market that, together with other forms of wage theft, costs workers billions of dollars annually. In this study, we examine the association between unpaid overtime and mental health in the Canadian working population. We also assess the relative strength of that association by comparing it against those of other broadly recognized work stressors.

METHODS

Data were drawn from a survey administered to a heterogeneous sample of workers in Canada (n = 3691). Generalized linear models quantified associations between unpaid overtime, stress, and burnout, distinguishing between moderate (1-5) and excessive (6 or more) hours of unpaid overtime.

RESULTS

Unpaid overtime was associated with higher levels of stress and burnout. Relative to those working no unpaid overtime, men working excessive unpaid overtime were 85% more likely to report stress (prevalence ratios [PR]: 1.85, 95% confidence interval [CI]: 1.26-2.72) and 84% more likely to report burnout (PR: 1.84, 95% CI: 1.34-2.54), while women working excessive unpaid overtime were 90% more likely to report stress (PR: 1.90, 95% CI: 1.32-2.75) and 52% more likely to report burnout (PR: 1.52; 95% CI: 1.12-2.06). The association of excessive unpaid overtime with mental health was comparable in magnitude to that of shift work and low job control.

CONCLUSIONS

Unpaid overtime may present a significant challenge to the mental health of working people, highlighting the potential role of wage theft as a neglected occupational health hazard.

A Mixed Methods Study Examining Citizenship Among Youth With Mental Health Challenges

Introduction

Multiple stakeholders have recently called for greater research on the barriers to citizenship and community belonging faced by people with mental health challenges. Citizenship has been defined as a person's access to the rights, roles, responsibilities, resources and relationships that help people feel a sense of belonging. Factors that may impact citizenship include financial precarity; intersecting forms of marginalization and oppression (e.g., racism); and the mental health care people receive. Research has yet to examine experiences of citizenship among youth with mental health challenges. To address this gap, this study will examine how youth experience citizenship; predictors of citizenship; how citizenship shapes recovery; and the degree to which youth are receiving citizenship-oriented care.

Methods

The research objectives will be evaluated using a multiphase mixed methods research design. Quantitative data will be collected cross-sectionally using validated self-report questionnaires. Qualitative data will be collected using a hermeneutic phenomenological method using semi-structured interviews and focus groups.

Analyses

Multiple stepwise regression analyses will be used to determine predictors of citizenship and if of citizenship predict recovery. Pearson correlations will be computed to determine the relationship between participants' perceived desire for, and receipt of citizenship-oriented care. Phenomenological analysis will be used to analyze qualitative data. Findings will then be mixed using a weaving method in the final paper discussion section.

Conclusion

Findings from this study may support the development of citizenship-oriented healthcare in Canada.

Long Working Hours, Precarious Employment and Anxiety Symptoms Among Working Chinese Population in Hong Kong

This study aimed to examine the association between working hours and anxiety of a working population in Hong Kong. We used a cross sectional data from a population-based household survey of Hong Kong Chinese adults. Key measures included employment status, skill level, working hours, length of stay at current job and anxiety level. Symptoms of anxiety were assessed using the Depression Anxiety Stress Scale (DASS-21). The data were analysed using logistic regression. Chinese adults who had long working hours (≥ 72 h per week) had higher odds of developing symptoms of anxiety than those who worked for ≤ 36 h per week (odds ratio [OR] 5.94, 95% confidence interval [CI]: 1.82‒19.41). Compared with short period (< 1 year), long period of stay at current job (≥ 5 years) was found as a protective factor from anxiety (OR 0.38, 95% CI: 0.20‒0.73). We found that a working period of 72 h per week was a significant threshold to cause anxiety to workers. Stable job arrangement was a protective factor to workers from anxiety. Implementation of labour market regulations, such as standard working hour policy and stable job arrangement, was also significant to mitigate risk of anxiety for working people in Hong Kong.