scholarly journals Suicide, overdose and worker exit in a cohort of Michigan autoworkers

2020 ◽  
pp. jech-2020-214117
Author(s):  
Ellen A Eisen ◽  
Kevin T Chen ◽  
Holly Elser ◽  
Sally Picciotto ◽  
Corinne A Riddell ◽  
...  
Keyword(s):  
Automobile Industry ◽  
Age Groups ◽  
College Education ◽  
General Motors ◽  
Individual Level ◽  
Fatal Overdose ◽  
Level Data ◽  
Working Age ◽  
Stable Employment

BackgroundIn recent decades, suicide and fatal overdose rates have increased in the US, particularly for working-age adults with no college education. The coincident decline in manufacturing has limited stable employment options for this population. Erosion of the Michigan automobile industry provides a striking case study.MethodsWe used individual-level data from a retrospective cohort study of 26 804 autoworkers in the United Autoworkers-General Motors cohort, using employment records from 1970 to 1994 and mortality follow-up from 1970 to 2015. We estimated HRs for suicide or fatal overdose in relation to leaving work, measured as active or inactive employment status and age at worker exit.ResultsThere were 257 deaths due to either suicide (n=202) or overdose (n=55); all but 21 events occurred after leaving work. The hazard rate for suicide was 16.1 times higher for inactive versus active workers (95% CI 9.8 to 26.5). HRs for suicide were elevated for all younger age groups relative to those leaving work after age 55. Those 30–39 years old at exit had the highest HR for suicide, 1.9 (95% CI 1.2 to 3.0). When overdose was included, the rate increased by twofold for both 19- to 29-year-olds and 30- to 39-year-olds at exit. Risks remained elevated when follow-up was restricted to 5 years after exit.ConclusionsAutoworkers who left work had a higher risk of suicide or overdose than active employees. Those who left before retirement age had higher rates than those who left after, suggesting that leaving work early may increase the risk.

scholarly journals Exploring the role of family ties on life satisfaction in later life in Europe

2019 ◽  
Vol 31 (2-2019) ◽  
pp. 180-198
Author(s):  
Aïda Solé-Auró ◽  
Clara Cortina
Keyword(s):  
Life Satisfaction ◽  
Age Groups ◽  
Later Life ◽  
Network Size ◽  
Protection Factor ◽  
Family Ties ◽  
Individual Level ◽  
Long Run ◽  
Level Data

We analyzed the relationship between family ties and the life satisfaction of people between the ages of 50 and 85 years in 13 European countries. We aim at determining the effects of partnership (being currently in a partnership) and parenthood (having remained childless). We use individual-level data from the sixth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE). The analyses are restricted to respondents who are partnered or who have ever been married. We apply a multivariate analysis to examine the association of life satisfaction with family ties for men and for women. We add controls for age groups and education level, and we pay special attention to the role of individuals’ network size. Our findings indicate that in all countries, having no partner has the strongest and most negative association with life satisfaction. However, there was no clear association between not having children and life satisfaction across countries. We also find an important role of some protector variables, such as having a strong network which, in most countries, significantly increase one’s life satisfaction. We find that there is a relationship between individuals’ family situation and life satisfaction, but it is restricted to being in a partnership. The protection factor of having a partner improves one’s life satisfaction at older ages much more than protection by having children. This finding can reduce the concern about the long run implications of increasing childlessness among younger cohorts as it is not necessarily associated to a higher risk of low life satisfaction.

scholarly journals Income disparities in life expectancy in the City of Toronto and Region of Peel, Ontario

2012 ◽  
Vol 32 (4) ◽  
pp. 208-215 ◽  
Author(s):  
J. Stratton ◽  
D.L. Mowat ◽  
R. Wilkins ◽  
M. Tjepkema
Keyword(s):  
Life Expectancy ◽  
Immigrant Status ◽  
Individual Level ◽  
Probability Of Survival ◽  
Income Disparities ◽  
Income Adequacy ◽  
Level Data ◽  
Calculated Period ◽  
The City

Introduction To understand the lack of a gradient in mortality by neighbourhood income in a previous study, we used individual-level data from the 1991–2001 Canadian census mortality follow-up study to examine income-related disparities in life expectancy and probability of survival to age 75 years in the City of Toronto and Region of Peel. Methods We calculated period life tables for each sex and income adequacy quintile, overall and separately for immigrants and non-immigrants. Results For all cohort members of both sexes, including both immigrants and non-immigrants, there was a clear gradient across the income quintiles, with higher life expectancy in each successively richer quintile. However, the disparities by income were much greater when the analysis was restricted to non-immigrants. The lesser gradient for immigrants appeared to reflect the higher proportion of recent immigrants in the lower income quintiles. Conclusion These findings highlight the importance of using individual-level ascertainment of income whenever possible, and of including immigrant status and period of immigration in assessments of health outcomes, especially for areas with a high proportion of immigrants.

scholarly journals Do Suicide Attempts of Mood Disorder Patients Directly Increase the Risk for a Reattempt?

2020 ◽  
Vol 11 ◽  
Author(s):  
Kari I. Aaltonen ◽  
Tom Rosenström ◽  
Pekka Jylhä ◽  
Irina Holma ◽  
Mikael Holma ◽  
...  
Keyword(s):  
Suicide Attempt ◽  
Mood Disorder ◽  
Major Depressive Episode ◽  
Suicide Attempts ◽  
Ordinal Number ◽  
Major Depressive ◽  
Individual Level ◽  
Level Data ◽  
Depressive States

Background: Preceding suicide attempts strongly predict future suicidal acts. However, whether attempting suicide per se increases the risk remains undetermined. We longitudinally investigated among patients with mood disorders whether after a suicide attempt future attempts occur during milder depressive states, indicating a possible lowered threshold for acting.Methods: We used 5-year follow-up data from 581 patients of the Jorvi Bipolar Study, Vantaa Depression Study, and Vantaa Primary Care Depression Study cohorts. Lifetime suicide attempts were investigated at baseline and during the follow-up. At follow-up interviews, life-chart data on the course of the mood disorder were generated and suicide attempts timed. By using individual-level data and multilevel modeling, we investigated at each incident attempt the association between the lifetime ordinal number of the attempt and the major depressive episode (MDE) status (full MDE, partial remission, or remission).Results: A total of 197 suicide attempts occurred among 90 patients, most during MDEs. When the dependencies between observations and individual liabilities were modeled, no association was found between the number of past suicide attempts at the time of each attempt and partial remissions. No association between adjusted inter-suicide attempt times and the number of past attempts emerged during follow-up. No indication for direct risk-increasing effects was found.Conclusion: Among mood disorder patients, repeated suicide attempts do not tend to occur during milder depressive states than in the preceding attempts. Previous suicide attempts may indicate underlying diathesis, future risk being principally set by the course of the disorder itself.

scholarly journals An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting

2021 ◽  
Author(s):  
Valeria Pegoraro ◽  
Franca Heiman ◽  
Antonella Levante ◽  
Duccio Urbinati ◽  
Ilaria Peduto
Keyword(s):  
Air Pollution ◽  
Index Date ◽  
Linear Mixed Model ◽  
Mixed Effects ◽  
Atmospheric Pollutants ◽  
Exposure Level ◽  
Individual Level ◽  
Level Data ◽  
Starting Point

Abstract BACKGROUND: Several studies have been focusing on the potential role of atmospheric pollutants in the diffusion and impact on health of Covid-19. This study’s objective was to estimate the association between ≤10 micrometers diameter particulate matter (PM10) exposure and the likelihood of experiencing pneumonia due to Covid-19 using individual-level data in Italy.METHODS: Information on Covid-19 patients was retrieved from the Italian IQVIA® Longitudinal Patient Database (LPD), a computerized network of general practitioners (GPs) including anonymous data on patients’ consultations and treatments. All patients with a Covid-19 diagnosis during March 18th, 2020 – June 30th, 2020 were included in the study. The date of first Covid-19 registration was the starting point of the 3-month follow-up (Index Date). Patients were classified based on Covid-19-related pneumonia registrations on the Index date and/or during follow-up presence/absence. Each patient was assigned individual exposure by calculating average PM10 during the 30-day period preceding the Index Date, and according to GP’s office province. A multiple generalized linear mixed model, mixed-effects logistic regression, was used to assess the association between PM10 exposure tertiles and the likelihood of experiencing pneumonia.RESULTS: Among 6,483 Covid-19 patients included, 1,079 (16.6%) had a diagnosis of pneumonia. Pneumonia patients were older, more frequently men, more health-impaired, and had a higher individual-level exposure to PM10 during the month preceding Covid-19 diagnosis. The mixed-effects model showed that patients whose PM10 exposure level fell in the second tertile had a 30% higher likelihood of having pneumonia than that of first tertile patients, and the risk for those who were in the third tertile was almost doubled.CONCLUSION: The consistent findings toward a positive association between PM10 levels and the likelihood of experiencing pneumonia due to Covid-19 make the implementation of new strategies to reduce air pollution more and more urgent.

scholarly journals An Italian individual-level data study investigating on the association between air pollution exposure and Covid-19 severity in primary-care setting

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Valeria Pegoraro ◽  
Franca Heiman ◽  
Antonella Levante ◽  
Duccio Urbinati ◽  
Ilaria Peduto
Keyword(s):  
Air Pollution ◽  
Index Date ◽  
Linear Mixed Model ◽  
Mixed Effects ◽  
Atmospheric Pollutants ◽  
Exposure Level ◽  
Individual Level ◽  
Level Data ◽  
Starting Point

Abstract Background Several studies have been focusing on the potential role of atmospheric pollutants in the diffusion and impact on health of Covid-19. This study’s objective was to estimate the association between ≤10 μm diameter particulate matter (PM10) exposure and the likelihood of experiencing pneumonia due to Covid-19 using individual-level data in Italy. Methods Information on Covid-19 patients was retrieved from the Italian IQVIA® Longitudinal Patient Database (LPD), a computerized network of general practitioners (GPs) including anonymous data on patients’ consultations and treatments. All patients with a Covid-19 diagnosis during March 18th, 2020 – June 30th, 2020 were included in the study. The date of first Covid-19 registration was the starting point of the 3-month follow-up (Index Date). Patients were classified based on Covid-19-related pneumonia registrations on the Index date and/or during follow-up presence/absence. Each patient was assigned individual exposure by calculating average PM10 during the 30-day period preceding the Index Date, and according to GP’s office province. A multiple generalized linear mixed model, mixed-effects logistic regression, was used to assess the association between PM10 exposure tertiles and the likelihood of experiencing pneumonia. Results Among 6483 Covid-19 patients included, 1079 (16.6%) had a diagnosis of pneumonia. Pneumonia patients were older, more frequently men, more health-impaired, and had a higher individual-level exposure to PM10 during the month preceding Covid-19 diagnosis. The mixed-effects model showed that patients whose PM10 exposure level fell in the second tertile had a 30% higher likelihood of having pneumonia than that of first tertile patients, and the risk for those who were in the third tertile was almost doubled. Conclusion The consistent findings toward a positive association between PM10 levels and the likelihood of experiencing pneumonia due to Covid-19 make the implementation of new strategies to reduce air pollution more and more urgent.

Employment Insecurity, Incumbent Partisanship, and Voting Behavior in Comparative Perspective

2016 ◽  
Vol 50 (11) ◽  
pp. 1489-1523 ◽  
Author(s):  
Agnar Freyr Helgason ◽  
Vittorio Mérola
Keyword(s):  
Voting Behavior ◽  
Left Wing ◽  
Economic Insecurity ◽  
Potential Conflict ◽  
Bayesian Hierarchical ◽  
Welfare Policies ◽  
Individual Level ◽  
Employment Insecurity ◽  
Level Data

We argue that occupational unemployment rates, by informing perceptions of economic insecurity, serve as a salient and powerful heuristic for aggregate economic performance. Consequently, high and rising occupational unemployment leads to negative evaluations of the economy and reduces the probability of supporting the incumbent government. Simultaneously, however, such changes shift support toward left-wing parties. Thus, economic insecurity serves as a valence issue, but is also inherently a positional issue, due to the distributional consequences of welfare policies. This brings about a potential conflict as under left-wing incumbent governments the economically insecure are cross-pressured, which increases their likelihood of exiting the electoral arena completely. We test our hypotheses using a Bayesian hierarchical multinomial model, with individual-level data from 43 elections in 21 countries. We find support for the hypothesized effects of employment insecurity on voting behavior, with a follow-up analysis supporting the posited informational mechanism.

scholarly journals Employment and crime: A longitudinal follow-up of organized crime offenders

2020 ◽  
pp. 147737082094128
Author(s):  
Vere van Koppen ◽  
Victor van der Geest ◽  
Edward Kleemans ◽  
Edwin Kruisbergen
Keyword(s):  
Organized Crime ◽  
Financial Support ◽  
Fixed Effects ◽  
Leadership Positions ◽  
Individual Level ◽  
Self Employment ◽  
Level Data ◽  
Percent Increase

Employment is considered to help offenders desist from crime. Studies focusing on organized crime offenders, however, have suggested that employment may promote rather than inhibit crime for these offenders, but lacked quantitative individual-level data to confirm this finding. Using a large sample of organized crime offenders ( N = 1921) and longitudinal individual data on offending, employment, income and financial support, the current study aims to clarify the role of employment in the offending careers of these offenders. Fixed effects models show the effects of employment, self-employment and employment on the payroll. For organized crime offenders, being employed is associated with a 10 percent increase in offending and having their own business is associated with a 23 percent increase in offending. For organized crime offenders in leadership positions, employment is associated with a 47 percent increase in offending and owning a business is associated with a 68 percent increase in offending.

Management of Haemophilia in Sweden

1976 ◽  
Vol 35 (03) ◽  
pp. 510-521 ◽  
Author(s):  
Inga Marie Nilsson
Keyword(s):  
Factor Viii ◽  
Total Population ◽  
Age Groups ◽  
Factor Ix ◽  
Haemophilia A ◽  
Severe Haemophilia ◽  
Haemophilia B ◽  
Human Fraction ◽  
Mild Haemophilia

SummaryThe incidence of living haemophiliacs in Sweden (total population 8.1 millions) is about 1:15,000 males and about 1:30,000 of the entire population. The number of haemophiliacs born in Sweden in 5-year periods between 1931-1975 (June) has remained almost unchanged. The total number of haemophilia families in Sweden is 284 (77% haemophilia A, 23% haemophilia B) with altogether 557 (436 with A and 121 with B) living haemophiliacs. Of the haemophilia A patients 40 % have severe, 18 % moderate, and 42 % mild, haemophilia. The distribution of the haemophilia B patients is about the same. Inhibitors have been demonstrated in 8% of the patients with severe haemophilia A and in 10% of those with severe haemophilia B.There are 2 main Haemophilia Centres (Stockholm, Malmo) to which haemophiliacs from the whole of Sweden are admitted for diagnosis, follow-up and treatment for severe bleedings, joint defects and surgery. Minor bleedings are treated at local hospitals in cooperation with the Haemophilia Centres. The concentrates available for treatment in haemophilia A are human fraction 1-0 (AHF-Kabi), cryoprecipitate, Antihaemophilic Factor (Hyland 4) and Kryobulin (Immuno, Wien). AHF-Kabi is the most commonly used preparation. The concentrates available for treatment in haemophilia B are Preconativ (Kabi) and Prothromplex (Immuno). Sufficient amounts of concentrates are available. In Sweden 3.2 million units of factor VIII and 1.0 million units of factor IX are given per year. Treatment is free of charge.Only 5 patients receive domiciliary treatment, but since 1958 we in Sweden have practised prophylactic treatment of boys (4–18 years old) with severe haemophilia A. At about 5-10 days interval they receive AHF in amounts sufficient to raise the AHF level to 40–50%. This regimen has reduced severe haemophilia to moderate. The joint score is identical with that found in moderate haemophilia in the same age groups. For treatment of patients with haemophilia A and haemophilia B complicated by inhibitors we have used a large dose of antigen (factor VIII or factor IX) combined with cyclophosphamide. In most cases this treatment produced satisfactory haemostasis for 5 to 30 days and prevented the secondary antibody rise.

Middle and Below Living Standards: What Can We Learn from Beyond Income Measures of Economic Well-being?

2018 ◽  
Author(s):  
Marii Paskov ◽  
Joan E. Madia ◽  
Tim Goedemé
Keyword(s):  
Well Being ◽  
Material Deprivation ◽  
Living Standards ◽  
Household Level ◽  
The Great Recession ◽  
Level Data ◽  
Working Age ◽  
Household Incomes ◽  
The Relationship ◽  
Economic Well Being

This chapter complements the income-based measures of living standards on which earlier chapters have focused by incorporating non-income dimensions of economic well-being into its analysis, including indicators of material deprivation, economic burdens, and financial stress. It analyses how working-age households around and below the middle of the income distribution fared in European countries in the years before, during, and after the Great Recession. Harmonized household-level data across the members of the EU are analysed to see whether the evolution of these various non-income measures present a similar or different picture to household incomes over time. To probe what lies behind the patterns this reveals, four quite different countries are then examined in greater depth. Finally, the chapter also explores the relationship between material deprivation for households around and below the middle and overall income inequality.

Sign in / Sign up

Export Citation Format

Share Document