Suicide Among Roofers: Injury, Pain & Substance Misuse

OBJECTIVE

CDC has called for suicide research on the construction industry, an industry with a high suicide rate. The present study addresses this gap and focuses on roofers. It assesses which risk factors distinguish suicides by roofers from those of the general population. Alcohol and drug misuse, related to their high incidence of injury and pain, are seen as key potential drivers of roofer suicide.

METHODOLOGY

Data refer to 30,570 suicides and are taken from the National Violent Death Reporting System (NVDRS). Drawing from previous work on the health professions, 15 core predictors are selected, representing psychiatric morbidity, social strains, and demographics. Since the analysis seeks to differentiate roofers' suicides from others, the dependent variable is a dichotomy where roofers' suicides (=1) and other suicides (=0).

RESULTS

After adjusting for the other 14 risk factors, a multivariate logistic regression analysis found that roofers' suicides were 76% more apt (Odds ratio = 1.76, CI: 1.18, 2.63) than other suicides to have a known substance or alcohol problem that contributed to their suicide. Other constructs differentiating roofers' suicides from other suicides included marital status, gender, and race. Roofers were less protected by marriage.

CONCLUSION

The results inform prevention efforts and substance misuse can serve as a key warning sign for roofers' suicide. This is the first investigation of the drivers of suicide among roofers, and one of a few drawing links between occupational injury and suicide.

Physical working conditions over time: a repeated cross-sectional study in German employees

BACKGROUND

This study aimed to examine time trends in physical working conditions across and within occupational groups in Germany between 2006 and 2018.

METHODS

Logistic regression analyses were conducted using data from the BIBB/BAuA Employment Surveys in 2006, 2012, and 2018, with a total sample size of 59,006 participants. The study investigated changes in various self-reported occupational exposure measures over time, along with demographic shifts in the workforce.

RESULTS

The results showed overall improvements in most occupational exposure measures during the study period, alongside an aging and upskilling workforce. However, exposure to awkward postures, microorganisms, and, to a lesser extent, noise increased. Substantial variation was observed between occupational groups, with more favourable trends among white-collar high-skilled and blue-collar low-skilled workers, and less favourable trends among white-collar low-skilled and blue-collar high-skilled workers.

CONCLUSIONS

While trends in physical working conditions in Germany are partly promising, some exposures are worsening, and substantial inequalities between occupations persist. As occupational exposures remain common, there is still a need for targeted interventions to improve working conditions, particularly in higher-risk occupations.

Medical Assistance in Dying, Palliative Care, Safety, and Structural Vulnerability

As more jurisdictions consider legalizing medical assistance in dying or assisted death (AD), there is an ongoing debate about whether AD is driven by socioeconomic deprivation or inadequate supportive services. Attention has shifted away from population studies that refute this narrative, and focused on individual cases reported in the media that would appear to support these concerns. In this editorial, the authors address these concerns using recent experience in Canada, and argue that even if we accept these stories at face value, the logical policy response would be to address the root causes of structural vulnerability rather than attempt to restrict access to AD. In terms of concerns about safety, the authors go on to point out the parallels between media reports about the misuse of AD and reports of wrongful deaths due to the misuse of palliative care (PC) in jurisdictions where AD was not legal. Ultimately, we cannot justify having a different response to these reports when they apply to AD instead of PC, and nobody has argued that PC should be criminalized in response to such reports. If we are skeptical of the oversight mechanisms used for AD in Canada, we must be equally skeptical of the oversight mechanisms used for end-of-life care in every jurisdiction where AD is not legal, and ask whether prohibiting AD protects the lives of the vulnerable any better than legalization of AD with safeguards.

Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions

The integration of Electronic Health Records (EHRs) with Machine Learning (ML) models has become imperative in examining patient outcomes due to the vast amounts of clinical data they provide. However, critical information regarding social and behavioral factors that affect health, such as social isolation, stress, and mental health complexities, is often recorded in unstructured clinical notes, hindering its accessibility. This has resulted in an over-reliance on clinical data in current EHR-based research, potentially leading to disparities in health outcomes. This study aims to evaluate the impact of incorporating patient-specific context from unstructured EHR data on the accuracy and stability of ML algorithms for predicting mortality, using the MIMIC III database. Results from the study confirmed the significance of incorporating patient-specific information into prediction models, leading to a notable improvement in the discriminatory power and robustness of the ML algorithms. Furthermore, the findings underline the importance of considering non-clinical factors related to a patient's daily life, in addition to clinical factors, when making predictions about patient outcomes. The advent of advanced generative models, such as GPT-4, presents new opportunities for effectively extracting social and behavioral factors from unstructured clinical notes, further enhancing the accuracy and stability of ML algorithms in predicting patient outcomes. The results of our study have significant ramifications for improving ML in clinical decision support and patient outcome predictions, specifically highlighting the potential role of generative models like GPT-4 in advancing ML-based outcome predictions.

Developing a Socioeconomic Status Index for Chronic Disease Prevention Research in Canada

Capturing socioeconomic inequalities in relation to chronic disease is challenging since socioeconomic status (SES) encompasses many aspects. We constructed a comprehensive individual-level SES index based on a broad set of social and demographic indicators (gender, education, income adequacy, occupational prestige, employment status) and examined its relationship with smoking, a leading chronic disease risk factor. Analyses were based on baseline data from 17,371 participants of Alberta’s Tomorrow Project (ATP), a prospective cohort of adults aged 35−69 years with no prior personal history of cancer. To construct the SES index, we used principal component analysis (PCA) and to illustrate its utility, we examined the association with smoking intensity and smoking history using multiple regression models, adjusted for age and gender. Two components were retained from PCA, which explained 61% of the variation. The SES index was best aligned with educational attainment and occupational prestige, and to a lesser extent, with income adequacy. In the multiple regression analysis, the SES index was negatively associated with smoking intensity (p < 0.001). Study findings highlight the potential of using individual-level SES indices constructed from a broad set of social and demographic indicators in epidemiological research.

Occupation-Based Life Expectancy: Actuarial Fairness in Determining Statutory Retirement Age

This study examines occupation-based differences in life expectancy and the extent to which health accounts for these differences. Twentyseven-year survival follow-up data were used from the Dutch population-based Longitudinal Aging Study Amsterdam (n = 2,531), initial ages 55-85 years. Occupation was based on longest-held job. Results show that the non-skilled general, technical and transport domains had an up to 3.5-year shorter life expectancy than the academic professions, accounting for the compositional characteristics age and gender. Statutory retirement age could be made to vary accordingly, by allowing a proportionally greater pension build-up in the shorter-lived domains. Health accounted for a substantial portion of the longevity difference, ranging from 20 to 66%, depending on the health indicator. Thus, health differences between occupational domains today can be used as a means to tailor retirement ages to individuals' risks of longevity. These data provide a proof of principle for the development of an actuarially fair method to determine statutory retirement ages.

A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT)

BACKGROUND

Premature mortality is an important population health indicator used to assess health system functioning and to identify areas in need of health system intervention. Predicting the future incidence of premature mortality in the population can facilitate initiatives that promote equitable health policies and effective delivery of public health services. This study protocol proposes the development and validation of the Premature Mortality Risk Prediction Tool (PreMPoRT) that will predict the incidence of premature mortality using large population-based community health surveys and multivariable modeling approaches.

METHODS

PreMPoRT will be developed and validated using various training, validation, and test data sets generated from the six cycles of the Canadian Community Health Survey (CCHS) linked to the Canadian Vital Statistics Database from 2000 to 2017. Population-level risk factor information on demographic characteristics, health behaviors, area level measures, and other health-related factors will be used to develop PreMPoRT and to predict the incidence of premature mortality, defined as death prior to age 75, over a 5-year period. Sex-specific Weibull accelerated failure time models will be developed using a Canadian provincial derivation cohort consisting of approximately 500,000 individuals, with approximately equal proportion of males and females, and about 12,000 events of premature mortality. External validation will be performed using separate linked files (CCHS cycles 2007-2008, 2009-2010, and 2011-2012) from the development cohort (CCHS cycles 2000-2001, 2003-2004, and 2005-2006) to check the robustness of the prediction model. Measures of overall predictive performance (e.g., Nagelkerke's R2), calibration (e.g., calibration plots), and discrimination (e.g., Harrell's concordance statistic) will be assessed, including calibration within defined subgroups of importance to knowledge users and policymakers.

DISCUSSION

Using routinely collected risk factor information, we anticipate that PreMPoRT will produce population-based estimates of premature mortality and will be used to inform population strategies for prevention.

Suicide Mortality Patterns in Greek Work Force before and during the Economic Crisis

Background: The global recession of 2007 has attracted research attention in regard to a possible increase of deaths by suicide among employed populations. The aim of the current study was to update the first Greek study on suicide mortality among broad occupational groups during 2000–2009, with the last available data covering the first period of economic crisis and recession in Greece. Methods: Data on suicide deaths for the age groups of 15–39, 40–49 and 50–59, between 2000–2013 were retrieved from the national statististical authority of Greece, ELSTAT. The coding of suicide used was X60–X84 (intentional self-harm), based on the 10th International Classification of Diseases (ICD-10). Comparative mortality ratio (CMR) and exact 95% confidence intervals (CI) are presented. Results: Males and females in the occupational group of clerks exhibited high and increased CMRs during the crisis period (2010–2013). Although high ratios for males in elementary, agricultural and fishery and armed forces occupational groups were monitored during the whole period, a decrease was evident during the crisis period. Increased trends in CMRs during the crisis were monitored for both males and females in the broad occupational group of members including managers, executives and directors. In addition, females especially in the 50–59 age group showed increased ratios and trends in several occupational groups during the crisis, especially in technologists and associate professionals, plant and machine operators and assemblers, professionals, and craft and related trade workers. Conclusions: Austerity-related stress should alert key stakeholders and provide mental health and suicide prevention interventions for employed occupations.

Directly alcohol-attributable mortality by industry and occupation in a Spanish Census cohort of economically active population

AIMS

To assess disparities in directly alcohol-attributable (DAA) mortality by industry/occupation in Spain during 2002-2011 and the contribution of different socio-demographic factors, including socioeconomic position, to explain such disparity.

METHODS

Nationwide cohort study covering 16 million economically active people living in Spain in 2001. Deaths at age 25-64 were analyzed. Subjects were classified by employment status, industry and occupation at baseline. Poisson regression models were built, calculating rate ratios (RRs) compared to all employees or those in the education sector.

RESULTS

DAA mortality was much higher in the unemployed than in employees (Crude RR: 2.4; 95% CI: 2.3-2.6) and varied widely across industries/occupations. Crude RRs>3.0 (p<0.05) compared to teachers were found in employees in extractive industries/fishing, agriculture/livestock, construction, catering/accommodation and protective services. Socio-demographic factors, especially age, gender and educational attainment contributed more to explain risk disparities than other factors or potential selection bias. However, after exhaustive sociodemographic adjustment, including education attainment and material wealth, a RR>1.33 (p<0.05) remained in unemployed, catering/accommodation employees and unskilled construction workers. RRs were significantly larger in women than men (p<0.05) among mineworkers/fishworkers/sailors (RR=8.6 vs. 1.2) and drivers (RR=3.7 vs. 1.0).

CONCLUSIONS

The results could be extrapolated to all alcohol-attributable mortality since disparities for other strongly alcohol-related deaths, although smaller, were in the same direction. Given the wide occupational disparities in alcohol-attributable mortality, implementation of special measures to reduce this mortality in the highest risk groups is fully justified. Future research should better characterize the explanatory factors of disparities and their role in the causal chain.

Predictors of immunodeficiency-related death in a cohort of low-income people living with HIV: a competing risks survival analysis

We conducted a survival analysis with competing risks to estimate the mortality rate and predictive factors for immunodeficiency-related death in people living with HIV/AIDS (PLWH) in northeast Brazil. A cohort with 2372 PLWH was enrolled between July 2007 and June 2010 and monitored until 31 December 2012 at two healthcare centres. The event of interest was immunodeficiency-related death, which was defined based on the Coding Causes of Death in HIV Protocol (CoDe). The predictor variables were: sociodemographic characteristics, illicit drugs, tobacco, alcohol, nutritional status, antiretroviral therapy, anaemia and CD4 cell count at baseline; and treatment or chemoprophylaxis for tuberculosis (TB) during follow-up. We used Fine & Gray's model for the survival analyses with competing risks, since we had regarded immunodeficiency-unrelated deaths as a competing event, and we estimated the adjusted sub-distribution hazard ratios (SHRs). In 10 012·6 person-years of observation there were 3·1 deaths/100 person-years (2·3 immunodeficiency-related and 0·8 immunodeficiency-unrelated). TB (SHR 4·01), anaemia (SHR 3·58), CD4 <200 cells/mm3 (SHR 3·33) and being unemployed (SHR 1·56) were risk factors for immunodeficiency-related death. This study discloses a 13% coverage by highly active antiretroviral therapy (HAART) in our state and adds that anaemia at baseline or the incidence of TB may increase the specific risk of dying from HIV-immunodeficiency, regardless of HAART and CD4.

Suicidal ideation, suicide attempt, and occupations among employed adults aged 18-64years in the United States

OBJECTIVE

Approximately 70% of all US suicides are among working-age adults. This study was to determine whether and how 12-month suicidal ideation and suicide attempt were associated with specific occupations among currently employed adults aged 18-64 in the U.S.

METHODS

Data were from 184,300 currently employed adults who participated in the 2008-2013 National Surveys on Drug Use and Health (NSDUH). NSDUH provides nationally representative data on suicidal ideation and suicide attempt. Descriptive analyses and multivariable logistic regressions were conducted.

RESULTS

Among currently employed adults aged 18-64 in the U.S., 3.5% had suicidal ideation in the past 12months (3.1% had suicidal ideation only, and 0.4% had suicidal ideation and attempted suicide). Compared with adults in farming, fishing, and forestry occupations (model adjusted prevalence (MAP)=1.6%), adults in the following occupations were 3.0-3.6 times more likely to have suicidal ideation in the past year (model adjusted relative risks (MARRs)=3.0-3.6): lawyers, judges, and legal support workers (MAP=4.8%), social scientists and related workers (MAP=5.4%), and media and communication workers (MAP=5.8%).

CONCLUSIONS

Among employed adults aged 18-64 in the U.S., the 12-month prevalence of suicidal ideation varies by occupations. Adults in occupations that are at elevated risk for suicidal ideation may warrant focused suicide prevention.

Exploring diversity in socioeconomic inequalities in health among rural dwelling Canadians

PURPOSE

To describe the patterning of socioeconomic inequalities in health among rural dwelling women and men in a Canadian province, exploring diversity in associations by measure of socioeconomic position, health outcome, and demographic characteristics.

METHODS

Baseline data from the Saskatchewan Rural Health Study was used, an ongoing prospective cohort study examining the health of rural people in Saskatchewan, Canada. Of the 11,004 eligible addresses, responses to mailed questionnaires were obtained from 4,624 (42%) households, representing 8,261 women and men. Multiple logistic regression was the primary method of analysis; generalized estimating equations were utilized to account for household clustering. Associations between 5 health outcomes (self-rated health, chronic obstructive lung disease, diabetes, heart attack, high blood pressure) and 4 indicators of socioeconomic position (income, education, financial strain, occupational skill level) were assessed, with age and gender as potential effect modifiers.

FINDINGS

With the exception of occupational skill level, socioeconomic position (SEP) indicators were strongly and inversely related to most health outcomes, often in a graded manner. Associations between SEP and several health outcomes were weaker for older than younger participants (heart attack, high blood pressure, lung disease) and stronger among women compared to men (high blood pressure, lung disease).

CONCLUSIONS

The patterning of SEP-health associations observed in this rural Canadian sample suggests the need for health promotion strategies and policy initiatives to be broadly targeted at individuals and families occupying a wide range of socioeconomic circumstances.