Effect of de-industrialisation on working conditions and self reported health in a sample of manufacturing workers

Ostry, Aleck; Barroetavena, Maria Cristina; Hershler, Ruth; Kelly, Shona; Demers, Paul A.; Teschke, Kay; Hertzman, D

doi:10.1136/jech.56.7.506

Cited by 23 publications

(19 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spayd and Dye, 1991;Bettis, 1994), poorer health conditions (see e.g. Renner and Navarro, 1989;Wallace D. and Wallace R., 1999;Ostry et al, 2002;EIR, 2006;Holland et al, 2011), higher violence (see e.g. Ousey, 2000Matthews et al, 2001), and higher rates of both suicide (see e.g.…”

Section: The Macroeconomic Consequences Of Deindustrializationmentioning

confidence: 99%

The Economic Forces Behind Deindustrialization: An Empirical Investigation

Neuss

2016

SSRN Journal

View full text Add to dashboard Cite

The purpose of this paper is to provide an in-depth study of deindustrialization and to systematically analyze the reasons why the world's most economically successful countries have experienced a sharp decline in relative manufacturing employment over the last decades. A large strand of empirical literature on deindustrialization aims at quantifying the relative importance of the economic forces behind deindustrialization, especially of the 'internal' and 'external' factors. While this study does not contradict the widespread belief that internal factors are quantitatively more important in explaining deindustrialization in advanced countries taken as a whole, our results, based on both static and dynamic techniques and panel data on 18 OECD countries from 1977 to 2007, however suggest that the role of globalization may be revised upwards when resorting to appropriate and welldefined indicators of trade in manufactures.

show abstract

Section: The Macroeconomic Consequences Of Deindustrializationmentioning

confidence: 99%

The Economic Forces Behind Deindustrialization: An Empirical Investigation

Neuss

2016

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…During the past decade, globalization, new technologies, and changes in workforce demographics have produced new work environments. [26][27][28] Changes in the nature of work have created workplaces demanding a level of skills and training that may also create barriers to individuals with more severe mental health problems, poor work histories, and limited qualifications.…”

Section: Possible Remediesmentioning

confidence: 99%

An International Perspective on Worker Mental Health Problems: Who Bears the Burden and How are Costs Addressed?

2007

View full text Add to dashboard Cite

To discuss the burden of poor mental health in workers, who currently bears it, and how the associated rising costs are being addressed, from an international perspective. Method: We identify the stakeholder groups and the costs they incur as a result of problems related to mental health in 6 different domains. In addition, we offer examples of programs, services, and strategies being used to either decrease costs or enhance benefits. Results: Mental illness is associated with a wide range of costs distributed across multiple stakeholders including government, employers, workers and their families, and the health care system. The costs incurred by the groups are interrelated; an attempt to decrease the burden for one group of stakeholders will inevitably affect other stakeholders. Thus the answer to the question of who bears the costs of poor mental health is "everyone." Conclusions: Everyone could benefit from investment in improved mental health in the workplace. However, because the benefits associated with improved worker mental health are often distributed among several stakeholders, the incentives for any single stakeholder to pay for additional services for workers may be diluted. As a consequence, no one invests. Nevertheless, there is a role for all stakeholders, just as there are potential benefits for all. Along with government, employers, employees, and the health care system must invest in promoting good workplace health.

show abstract

“…Rapidly increasing unemployment has also been associated with increased all-cause mortality rates among workers [21], and high neighbourhood unemployment rates in London (UK) have been associated with poor self-rated health [22]. A study in the British Columbia (BC) sawmill industry [23] found that workers who remained employed in sawmills during extensive restructuring were approximately 50% more likely to report poor health than those who were re-employed elsewhere. In other words, health status was better for workers who, under pressure of massive industry downsizing and change, left the sawmill industry and obtained re-employment elsewhere.…”

Section: Introductionmentioning

confidence: 99%

Mental Health, Cardiovascular Disease and Declining Economies in British Columbia Mining Communities

et al. 2011

View full text Add to dashboard Cite

Abstract:The purpose of this study was to investigate the relationship between community-level exposure to changes in economic conditions and the incidence and prevalence of mental disorders and cardiovascular disease in 29 resource-based communities (with a focus on mining communities) in British Columbia (BC) during a period of time marked by an economic downturn (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002) The investigation relied on Labour Force Survey (LFS) and Statistics Canada Census data, and health records from the British Columbia Ministry of Health (MoH). Age and sex adjusted prevalence and incidence rates were calculated for each community from 1991 to 2002 and the development of an economic change indicator defined using Census data and industry/government documents allowed for yearly assessment of community-level exposure to economic conditions. The relationship between exposure to economic change and rates of acute and chronic cardiovascular disease and mental disorders across the 29 study communities was investigated using a generalized linear model (stratified by type of community, and OPEN ACCESSMinerals 2011, 1 31 adjusted for the effect of the community). Findings indicate an impact on the prevalence rates for acute cardiovascular disease (CVD) during periods of economic decline (rate increased by 13.1 cases per 1,000 population, p < 0.0001 as compared with stable periods) and bust conditions (rate increased by 30.1 cases per 1,000 population, p < 0.0001 as compared with stable conditions) and mental disorders (rate increased by 13.2 cases per 1,000 population, p = 0.0001) in mining communities during declining economic conditions as compared to steady periods of mining employment. This is not observed in other resource-based communities. The paper concludes by highlighting implications for the mining industry to consider as they begin to recognize and commit to mining community health.

show abstract

Effect of de-industrialisation on working conditions and self reported health in a sample of manufacturing workers

Cited by 23 publications

References 5 publications

The Economic Forces Behind Deindustrialization: An Empirical Investigation

The Economic Forces Behind Deindustrialization: An Empirical Investigation

An International Perspective on Worker Mental Health Problems: Who Bears the Burden and How are Costs Addressed?

Mental Health, Cardiovascular Disease and Declining Economies in British Columbia Mining Communities

Contact Info

Product

Resources

About