Explore the vast range of titles available.

Structural causal models (SCMs), also known as (nonparametric) structural equation models (SEMs), are widely used for causal modeling purposes. In particular, acyclic SCMs, also known as recursive SEMs, form a well-studied subclass of SCMs that generalize causal Bayesian networks to allow for latent confounders. In this paper, we investigate SCMs in a more general setting, allowing for the presence of both latent confounders and cycles. We show that in the presence of cycles, many of the convenient properties of acyclic SCMs do not hold in general: they do not always have a solution; they do not always induce unique observational, interventional and counterfactual distributions; a marginalization does not always exist, and if it exists the marginal model does not always respect the latent projection; they do not always satisfy a Markov property; and their graphs are not always consistent with their causal semantics. We prove that for SCMs in general each of these properties does hold under certain solvability conditions. Our work generalizes results for SCMs with cycles that were only known for certain special cases so far. We introduce the class of simple SCMs that extends the class of acyclic SCMs to the cyclic setting, while preserving many of the convenient properties of acyclic SCMs. With this paper, we aim to provide the foundations for a general theory of statistical causal modeling with SCMs.

Crowdsourcing (CS) of micro tasks is a relatively new, open source work form enabled by information and communication technologies. While anecdotal evidence of its benefits abounds, our understanding of the phenomenon’s societal consequences remains limited. Drawing on value sensitive design (VSD), we explore microtask CS as perceived by crowd workers, revealing their values as a means of informing the design of CS platforms. Analyzing detailed narratives of 210 crowd workers participating in Amazon’s Mechanical Turk (MTurk), we uncover a set of nine values they share: access, autonomy, fairness, transparency, communication, security, accountability, making an impact, and dignity. We find that these values are implicated in four crowdsourcing structures: compensation, governance, technology, and microtask. Two contrasting perceptions—empowerment and marginalization—coexist, forming a duality of microtask CS. The study contributes to the CS and VSD literatures, heightens awareness of worker marginalization in microtask CS, and offers guidelines for improving CS practice. Specifically, we offer recommendations regarding the ethical use of crowd workers (including for academic research), and call for improving MTurk platform design for greater worker empowerment.

BackgroundDue to stigma and discrimination, gay, bisexual and other men who have sex with men (gbMSM) potentially carry a heightened burden of loneliness. This analysis investigates loneliness among gbMSM and its relationship with self-rated physical health, along with the mediating effect of depression.MethodsParticipants were recruited using respondent-driven sampling into the Momentum Health Study (February 2012–February 2015) with follow-up visits occurring every 6 months till February 2018. Using computer-assisted self-interviews, measures of loneliness were assessed using a 6-item Loneliness Scale for Emotional and Social Loneliness (lonely vs not lonely). Current physical health was self-assessed (poor, fair, good, very good or excellent). A multivariable generalised linear-mixed model with a logit link function was used to examine the relationship between loneliness and self-rated physical health. We further investigated the mediating effect of depressive symptomatology on this relationship via the Hospital Anxiety and Depression Scale.ResultsOf the 770 participants included, we found that 61% (n=471) experienced loneliness at baseline. Of the 674 (88%) who reported good/very good/excellent physical health, 59% (n=391) reported loneliness, compared with 87% (n=80) of those in poor/fair self-rated physical health who reported feeling lonely. After adjustment for confounding, loneliness was associated with poor self-rated physical health (adjusted OR 1.71; 95% CI 1.13 to 2.60). Depressive symptomatology was found to partially mediate this relationship.CONCLUSIONThere may be a need for the integration of social, mental and physical health programming, targeted towards gbMSM, to alleviate the degree of loneliness experienced and its co-occurrence with poor self-rated physical health.

Abstract We review theoretical and empirical evidence that helps us understand how a developmental competency, namely ethnic-racial identity (ERI), can promote positive youth development and, in doing so, can help address ethnic-racial disparities resulting from systemic racism. We review this work from a risk and resilience perspective, elucidating different mechanisms of promotion and protection in the context of ethnoracially based risk. Understanding the conditions under which (and the mechanisms by which) certain ERI domains promote and inhibit adjustment can help us support ERI development among youth of color. Ultimately, we argue that ERI development among youth of color is one important avenue toward reducing ethnic-racial disparities in key developmental outcomes and, thus, disrupting cycles of inequity caused and perpetuated by systemic racism.

Background Socioeconomic status and community marginalization can impact overall survival and functional outcome in patients with cancer. However, this association has not been determined in patients with soft tissue sarcoma (STS) within Canada. The primary aim of this study was to determine the impact of marginalization on STS 5-year overall survival. Patients and Methods We conducted a retrospective cohort study of patients presenting with primary or locally recurrent STS who underwent surgical resection between January 2010 and December 2021. Marginalization was determined using the Ontario Marginalization Index (ON-Marg), with subdomains including Ethnic Concentration, Material Resources, Household Dwelling, and Labor Dependency, and patients were stratified into quintiles (Q1 = least marginalized; Q5 = most marginalized). The association between marginalization and overall survival was determined using Kaplan–Meier curves and a multivariate Cox proportional hazards model. Results When adjusted for age and grade of disease, 5-year overall survival was not impacted by Ethnic Concentration (75.2% Q1 vs. 80.5% Q5). However, 5-year overall survival was significantly affected by increasing marginalization within Material Resources (81.9% Q1 vs. 69% Q5), Household Dwelling (82.2% Q1 vs. 69.6% Q5), and Labor Dependency (75.4% Q1 vs. 67.3% Q5). Significant differences across quintiles with regard to 1-year functional outcomes were noted with the Toronto Extremity Salvage Score, while nonsignificant changes were noted with the Musculoskeletal Tumor Society Score-93. Conclusions This study is the first to demonstrate marginalization as an independent risk factor adversely impacting 5-year overall survival of STS in Canada’s single-payer universal healthcare system.

Inclusion health focuses on people in extremely poor health due to poverty, marginalisation, and multimorbidity. We aimed to review morbidity and mortality data on four overlapping populations who experience considerable social exclusion: homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals. For this systematic review and meta-analysis, we searched MEDLINE, Embase, and the Cochrane Library for studies published between Jan 1, 2005, and Oct 1, 2015. We included only systematic reviews, meta-analyses, interventional studies, and observational studies that had morbidity and mortality outcomes, were published in English, from high-income countries, and were done in populations with a history of homelessness, imprisonment, sex work, or substance use disorder (excluding cannabis and alcohol use). Studies with only perinatal outcomes and studies of individuals with a specific health condition or those recruited from intensive care or high dependency hospital units were excluded. We screened studies using systematic review software and extracted data from published reports. Primary outcomes were measures of morbidity (prevalence or incidence) and mortality (standardised mortality ratios [SMRs] and mortality rates). Summary estimates were calculated using a random effects model. Our search identified 7946 articles, of which 337 studies were included for analysis. All-cause standardised mortality ratios were significantly increased in 91 (99%) of 92 extracted datapoints and were 11·86 (95% CI 10·42–13·30; I2=94·1%) in female individuals and 7·88 (7·03–8·74; I2=99·1%) in men. Summary SMR estimates for the International Classification of Diseases disease categories with two or more included datapoints were highest for deaths due to injury, poisoning, and other external causes, in both men (7·89; 95% CI 6·40–9·37; I2=98·1%) and women (18·72; 13·73–23·71; I2=91·5%). Disease prevalence was consistently raised across the following categories: infections (eg, highest reported was 90% for hepatitis C, 67 [65%] of 103 individuals for hepatitis B, and 133 [51%] of 263 individuals for latent tuberculosis infection), mental health (eg, highest reported was 9 [4%] of 227 individuals for schizophrenia), cardiovascular conditions (eg, highest reported was 32 [13%] of 247 individuals for coronary heart disease), and respiratory conditions (eg, highest reported was 9 [26%] of 35 individuals for asthma). Our study shows that homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals experience extreme health inequities across a wide range of health conditions, with the relative effect of exclusion being greater in female individuals than male individuals. The high heterogeneity between studies should be explored further using improved data collection in population subgroups. The extreme health inequity identified demands intensive cross-sectoral policy and service action to prevent exclusion and improve health outcomes in individuals who are already marginalised. Wellcome Trust, National Institute for Health Research, NHS England, NHS Research Scotland Scottish Senior Clinical Fellowship, Medical Research Council, Chief Scientist Office, and the Central and North West London NHS Trust.

This article provides county-level estimates of the cumulative prevalence of four levels of Child Protective Services (CPS) contact using administrative data from the 20 most populous counties in the United States. Rates of CPS investigation are extremely high in almost every county. Racial and ethnic inequality in case outcomes is large in some counties. The total median investigation rate was 41.3%; the risk for Black, Hispanic, and White children exceeded 20% in all counties. Risks of having a CPS investigation were highest for Black children (43.2 to 72.0%). Black children also experienced high rates of later-stage CPS contact, with rates often above 20% for confirmed maltreatment, 10% for foster care placement, and 2% for termination of parental rights (TPR). The only other children who experienced such extreme rates of later-stage CPS interventions were American Indian/Alaska Native children in Middlesex, MA; Hispanic children in Bexar, TX; and all children except Asian/Pacific Islander children in Maricopa, AZ. The latter has uniquely high rates of late-stage CPS interventions. In some jurisdictions, such as New York, NY, (0.2%) and Cook, IL (0.2%), very few children experienced TPR. These results show that early CPS interventions are ubiquitous in large counties but with marked variation in how CPS systems respond to these investigations.

While a growing body of work suggests that women representatives are less likely to be involved in corruption scandals, we know less about if changes in representation patterns also have implications for citizens’ first-hand experiences with corruption in public service delivery. This study suggests that women elected representatives reduce street level bribery, in particular when the share of women increases in contexts where relatively few women are elected or when the absolute increase in women’s representation is relatively large. Using newly collected data on the share of women in 128 regional level parliaments in 10 European countries and four rounds of the European Quality of Government Index (EQI) survey (2010–2021), our two-way fixed effects models show that on average, the proportion of women in regional parliaments is strongly associated with citizens’ self-reported experiences of bribery across all countries and years. Furthermore, our difference-in-difference design shows that the level of bribery in public service provision dropped more sharply in regions that experienced a greater absolute or greater marginal increase in women’s representation. Our results may be understood in light of women candidates placing priority on well-functioning and low corrupt public service provision and the important signals of inclusiveness, non-discrimination and decreased tolerance towards corruption that women’s representation conveys to civil servants.

We investigate a retailer’s and a supplier’s incentive to facilitate information disclosure, i.e., consumer learning of their true product valuation, under two popular supply chain contracts, i.e., the agency pricing model and the wholesale pricing model. Our results show that when a product has medium or high dispersion in its consumers’ true valuation distribution and the degree of information disclosure before facilitation is moderate, two parties might have opposing interests as to more information disclosure. Specifically, in the agency pricing model, the revenue sharing mechanism leads the supplier to benefit, but the retailer to suffer, from more information disclosure. In the wholesale model, potential misalignment of interests as to more information disclosure disappears if the demand is linear. Double marginalization absorbs influence of two parties’ marginal cost discrepancy and eventually tunes the two parties’ margin proportional to each other. If the demand is log-concave and derived from common valuation distributions such as normal or logistic distributions, misalignment reappears in the wholesale model, but interestingly, the retailer benefits and the supplier suffers from more disclosure, which is opposite to the misalignment result in the agency model under the same log-concave demand. Our results suggest that information disclosure facilitation has a different interplay with the revenue sharing mechanism in the agency model than with double marginalization in the wholesale model. The online appendix is available at https://doi.org/10.1287/isre.2017.0770 .