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      Impact of the COVID-19 pandemic on temporal patterns of mental health and substance abuse related mortality in Michigan: An interrupted time series analysis

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          Abstract

          Background

          The emergence of SARS-CoV2 (COVID-19) had wide impacts to health and mortality and prompted unprecedented containment efforts. The full impact of the COVID-19 pandemic and resulting responses on mental health and substance abuse related mortality are unknown.

          Methods

          We obtained records for deaths from suicide, alcohol related liver failure, and overdose from the Michigan Department of Health and Human Services (MDHHS) for 2006 to 2020. We compared mortality within sex, age, marital, racial and urban/rural groups using basic statistical methods. We compared standardized mean daily mortality incidence before and after the onset of the pandemic using t-tests. We used an interrupted time series approach, using generalized additive Poisson regression models with smoothed components for time to assess differences in mortality trends before and after the onset of the pandemic within demographic groups.

          Findings

          There were 19,365 suicides, 8,790 deaths from alcohol related liver failure, and 21,778 fatal drug overdoses. Compared with 2019, suicides in 2020 declined by 17.6%, overdose mortality declined by 22.5%—while alcohol deaths increased by 12.4%. Crude comparisons suggested that there were significant declines in suicides for white people, people 18 to 65 and increases for rural decedents, overdoses increased for Black people, females and married/widowed people, and alcohol mortality increased for nearly all groups. ITS models, however, suggested increased suicide mortality for rural residents, significantly increased alcohol related mortality for people ≥65 and increased overdose mortality in men.

          Interpretation

          The onset of the pandemic was associated with mixed patterns of mortality between suicide, alcohol and overdose deaths. Patterns varied within demographic groups, suggesting that impacts varied among different groups, particularly racial and marital groups.

          Funding

          This work was supported by the United States National Institute of Environmental Health Sciences [K99/R00ES026198] and their Michigan Center on Lifestage Environmental Exposures and Disease [grant number P30ES017885]; and the Institute for Global Biological Change at the University of Michigan.

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          Most cited references64

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          Is Open Access

          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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            6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records

            Background Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health. We aimed to provide robust estimates of incidence rates and relative risks of neurological and psychiatric diagnoses in patients in the 6 months following a COVID-19 diagnosis. Methods For this retrospective cohort study and time-to-event analysis, we used data obtained from the TriNetX electronic health records network (with over 81 million patients). Our primary cohort comprised patients who had a COVID-19 diagnosis; one matched control cohort included patients diagnosed with influenza, and the other matched control cohort included patients diagnosed with any respiratory tract infection including influenza in the same period. Patients with a diagnosis of COVID-19 or a positive test for SARS-CoV-2 were excluded from the control cohorts. All cohorts included patients older than 10 years who had an index event on or after Jan 20, 2020, and who were still alive on Dec 13, 2020. We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. We investigated how these estimates were affected by COVID-19 severity, as proxied by hospitalisation, intensive therapy unit (ITU) admission, and encephalopathy (delirium and related disorders). We assessed the robustness of the differences in outcomes between cohorts by repeating the analysis in different scenarios. To provide benchmarking for the incidence and risk of neurological and psychiatric sequelae, we compared our primary cohort with four cohorts of patients diagnosed in the same period with additional index events: skin infection, urolithiasis, fracture of a large bone, and pulmonary embolism. Findings Among 236 379 patients diagnosed with COVID-19, the estimated incidence of a neurological or psychiatric diagnosis in the following 6 months was 33·62% (95% CI 33·17–34·07), with 12·84% (12·36–13·33) receiving their first such diagnosis. For patients who had been admitted to an ITU, the estimated incidence of a diagnosis was 46·42% (44·78–48·09) and for a first diagnosis was 25·79% (23·50–28·25). Regarding individual diagnoses of the study outcomes, the whole COVID-19 cohort had estimated incidences of 0·56% (0·50–0·63) for intracranial haemorrhage, 2·10% (1·97–2·23) for ischaemic stroke, 0·11% (0·08–0·14) for parkinsonism, 0·67% (0·59–0·75) for dementia, 17·39% (17·04–17·74) for anxiety disorder, and 1·40% (1·30–1·51) for psychotic disorder, among others. In the group with ITU admission, estimated incidences were 2·66% (2·24–3·16) for intracranial haemorrhage, 6·92% (6·17–7·76) for ischaemic stroke, 0·26% (0·15–0·45) for parkinsonism, 1·74% (1·31–2·30) for dementia, 19·15% (17·90–20·48) for anxiety disorder, and 2·77% (2·31–3·33) for psychotic disorder. Most diagnostic categories were more common in patients who had COVID-19 than in those who had influenza (hazard ratio [HR] 1·44, 95% CI 1·40–1·47, for any diagnosis; 1·78, 1·68–1·89, for any first diagnosis) and those who had other respiratory tract infections (1·16, 1·14–1·17, for any diagnosis; 1·32, 1·27–1·36, for any first diagnosis). As with incidences, HRs were higher in patients who had more severe COVID-19 (eg, those admitted to ITU compared with those who were not: 1·58, 1·50–1·67, for any diagnosis; 2·87, 2·45–3·35, for any first diagnosis). Results were robust to various sensitivity analyses and benchmarking against the four additional index health events. Interpretation Our study provides evidence for substantial neurological and psychiatric morbidity in the 6 months after COVID-19 infection. Risks were greatest in, but not limited to, patients who had severe COVID-19. This information could help in service planning and identification of research priorities. Complementary study designs, including prospective cohorts, are needed to corroborate and explain these findings. Funding National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre.
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              The psychological impact of COVID-19 on the mental health in the general population

              Abstract As a result of the emergence of coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the Chinese city of Wuhan, a situation of socio-economic crisis and profound psychological distress rapidly occurred worldwide. Various psychological problems and important consequences in terms of mental health including stress, anxiety, depression, frustration, uncertainty during COVID-19 outbreak emerged progressively. This work aimed to comprehensively review the current literature about the impact of COVID-19 infection on the mental health in the general population. The psychological impact of quarantine related to COVID-19 infection has been additionally documented together with the most relevant psychological reactions in the general population related to COVID-19 outbreak. The role of risk and protective factors against the potential to develop psychiatric disorders in vulnerable individuals has been addressed as well. The main implications of the present findings have been discussed.
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                Author and article information

                Journal
                Lancet Reg Health Am
                Lancet Reg Health Am
                Lancet Regional Health. Americas
                The Author(s). Published by Elsevier Ltd.
                2667-193X
                6 March 2022
                June 2022
                6 March 2022
                : 10
                : 100218
                Affiliations
                [a ]Survey Research Center, Social Environment and Health Program, University of Michigan Institute for Social Research, 426 Thompson, Ann Arbor, MI 48104, USA
                [b ]Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
                [c ]Chronic Pain and Fatigue Research Center, Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
                Author notes
                [* ]Corresponding author at: Survey Research Center, Social Environment and Health Program, University of Michigan Institute for Social Research, 426 Thompson, Ann Arbor, MI 48104, USA.
                Article
                S2667-193X(22)00035-7 100218
                10.1016/j.lana.2022.100218
                8898171
                35284903
                26256a32-e755-4bc2-a5cc-a8a664dde2f7
                © 2022 The Author(s)

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                suicide,self-harm,overdose,alcohol,substance abuse,mortality,covid-19,time series

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