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      Downsizing and purchases of psychotropic drugs: A longitudinal study of stayers, changers and unemployed

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          Abstract

          Background

          The evidence is insufficient regarding the association between organizational downsizing and employee mental health. Our aim was to analyze trajectories of prescribed sedatives and anxiolytics with a sufficiently long follow-up time to capture anticipation, implementation and adaption to a downsizing event among stayers, changers and those who become unemployed compared to unexposed employees.

          Method

          Swedish residents aged 20–54 years in 2007, with stable employment between 2004 and 2007, were followed between 2005 and 2013 (n = 2,305,795). Employment at a workplace with staff reductions ≥18% between two subsequent years in 2007–2011 (n = 915,461) indicated exposure to, and timing of, downsizing. The unexposed (n = 1,390,334) were randomized into four corresponding sub-cohorts. With generalized estimating equations, we calculated the odds ratios (OR) of purchasing prescribed anxiolytics or sedatives within nine 12-month periods, from four years before to four years after downsizing. In order to investigate whether the groups changed their probability of purchases over time, odds ratios (OR) and their 95% confidence intervals (95% CI) were calculated contrasting the prevalence of purchases during the first and the last 12-month period within four time periods for each exposure group.

          Results

          The odds of purchasing anxiolytics increased more for stayers (OR 1.03, 95% CI 1.01–1.06) and unemployed (OR 1.08, 95% CI 1.03–1.14) compared to unexposed before downsizing, and purchases continued to increase after downsizing for stayers. Among those without previous sickness absence, stayers increased their purchases of anxiolytics from the year before the event up to four years after the event. Trajectories for sedatives were similar but less pronounced.

          Conclusion

          This study indicates that being exposed to downsizing is associated with increased use of sedatives and anxiolytics, especially before the event, if the employee stays in the organization or becomes unemployed.

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          Most cited references31

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          Akaike's information criterion in generalized estimating equations.

          W. Pan (2001)
          Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is nonlikelihood based. We propose a modification to AIC, where the likelihood is replaced by the quasi-likelihood and a proper adjustment is made for the penalty term. Its performance is investigated through simulation studies. For illustration, the method is applied to a real data set.
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            Primary insomnia: a risk factor to develop depression?

            Chronic insomnia afflicts approximately 5-10% of the adult population in Western industrialized countries. Insomnia may be secondary, i.e. triggered and/or maintained by psychiatric/organic illnesses, the intake of prescribed/illicit drugs or alcohol, or by a combination of these factors. Insomnia can also occur as primary insomnia, caused by a psychophysiological hyperarousal process. In the present review a literature search was undertaken to identify longitudinal epidemiological studies which investigate the question whether primary insomnia at baseline predicts the development of depression at follow-up measurements. MEDLINE search for the medical subject headings insomnia and depression; identification of longitudinal epidemiological studies with at least two measurement points 1 year apart measuring insomnia and depression and indicating explicit criteria for both disorders. Eight relevant epidemiological studies were identified. Almost unambiguously insomnia at baseline significantly predicted an increased depression risk at follow-up 1-3 years later. As insomniac symptoms alone seem to be of predictive value for the development of depression in the succeeding years, it would be worthwhile to investigate if early adequate treatment is able to prevent psychiatric sequelae of primary insomnia.
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              Gender differences in depression. Epidemiological findings from the European DEPRES I and II studies.

              While there is ample evidence that the prevalence rates for major depressive disorder (MDD) in the general population are higher in women than in men, there is little data on gender differences as regard to symptoms, causal attribution, help-seeking, coping, or the consequences of depression. The large DEPRES Study dataset covering representative population samples of six European countries (wave I: 38,434 men and 40,024 women; wave II: 563 men and 1321 women treated for depression) was analyzed for gender differences. In wave I marked gender differences were found in the six-month prevalence rate for major depression but less so for minor depression; the gender differences for major depression persisted across all age groups. Even after stratification by clinically significant impairment and paid employment status, men reported fewer symptoms than women; as a consequence, men reached the diagnostic threshold less often. In wave II there were clear gender differences in causal attribution and in coping. Men coped by increasing their sports activity and consumption of alcohol and women through emotional release and religion. Women felt the effects of depression in their quality of sleep and general health, whereas men felt it more in their ability to work. The second wave of the study comprises treated depressives only and may be less representative than the first wave.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                30 August 2018
                2018
                : 13
                : 8
                : e0203433
                Affiliations
                [1 ] Stress Research Institute, Stockholm University, Stockholm, Sweden
                [2 ] Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
                [3 ] Department of Public Health, University of Turku, Turku, Finland
                National Defense Medical College, JAPAN
                Author notes

                Competing Interests: The authors declare that no competing interset exist.

                Author information
                http://orcid.org/0000-0002-3933-9269
                Article
                PONE-D-17-19256
                10.1371/journal.pone.0203433
                6117080
                30161241
                3000bb3d-863d-47dd-83af-03361c3ff3f2
                © 2018 Blomqvist et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 May 2017
                : 21 August 2018
                Page count
                Figures: 5, Tables: 3, Pages: 16
                Funding
                Funded by: Swedish Research Council for Health, Working Life and Welfare
                Award ID: 2009-1758
                The study was funded by the Swedish Research Council for Health, Working Life and Welfare recieved by the Stockholm Stress Center [grant number 2009-1758] ( http://forte.se/en/). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Anxiolytics
                Social Sciences
                Economics
                Labor Economics
                Employment
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Sedatives
                Medicine and Health Sciences
                Mental Health and Psychiatry
                People and places
                Geographical locations
                Europe
                European Union
                Sweden
                Social Sciences
                Economics
                Labor Economics
                Employment
                Jobs
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Medicine and Health Sciences
                Pharmacology
                Drug Information
                Custom metadata
                The data used in this study is administered by the Division of Insurance Medicine, Karolinska Institutet. These data cannot be made publically available due to privacy regulations. According to the General Data Protection Regulation, the Swedish law SFS 2018:218, the Swedish Data Protection Act, the Swedish Ethical Review Act, and the Public Access to Information and Secrecy Act, these type of sensitive data can only be made available for specific purposes, including research, that meets the criteria for access to this type of sensitive and confidential data as determined by a legal review. The Ethical Review Board as well as Statistics Sweden have made these very sensitive personal microdata available for the project with the strict notion that only researchers of the project work with them and only at the premises of the Division of Insurance Medicine at Karolinska Institutet. Readers may contact Professor Kristina Alexanderson ( kristina.alexanderson@ 123456ki.se ) regarding the data administrated by the Division of Insurance Medicine, Karolinska Institutet, included analyses conducted for this study. Data from the Longitudinal integration database for health insurance and labor market studies (LISA) and the Dynamics on Enterprises and Establishments (DEE) can be directly requested from Statistics Sweden ( microdata.individ@ 123456scb.se ), and data from the Prescribed Drug Register can be requested from The National Board of Health and Welfare ( registerservice@ 123456socialstyrelsen.se ) in Sweden for researchers who meet the criteria for access to confidential data.

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