Work Conditions and Health and Well-Being of Latina Hotel Housekeepers

Hotel housekeepers are exposed to a plethora of disproportionately high work-induced hazards that can lead to adverse health consequences. Latina hotel housekeepers are rendered particularly vulnerable to elevated occupational hazards and resultant health strains due to their socioeconomic status, immigration status, language barriers, and lack of access to healthcare services. The findings from the 27 interviews with Latina hotel housekeepers indicated that the interviewees were exposed to physical, chemical, and social hazards in the workplace and suffered musculoskeletal injuries. In terms of psychological wellness, the time pressure of cleaning rooms quickly and work-related stress stemming from workplace mistreatment emerged as major work-related stressors. Recommendations are made for the introduction of multilevel interventions designed to prevent work-related injuries and illnesses and to promote healthier workplaces.     

Characterization of a new cytogenetic subtype of ductal breast carcinomas

About 50% of ductal breast carcinomas do not yield analysable karyotypes after short-term culturing. Comparison of the cytogenetic subset to the whole data set of tumors revealed that slightly hyperdiploid tumors, that is, with DNA index between 1.05 and 1.3, were under-represented in tumors for which cytogenetic analysis was successful. The purpose of this study was to determine whether the pattern of chromosome imbalances in this subset differs from that generally reported. Comparative genomic hybridization (CGH) was used on 43 primary ductal breast carcinomas selected for slight hyperdiploidy. Microsatellite instability (MSI), TP53 mutation and expression were also investigated. All tumors were MSI negative. In all, 18 tumors (42%) presented mostly unbalanced chromosome rearrangements and DNA amplifications, with only few or no whole chromosome gains (WCG). This pattern of chromosome imbalances corresponds to that described in most breast tumors by previous cytogenetic and CGH analyses. It was associated with TP53 mutation in 17% of tumors. Another subset of 17 tumors (39%) displayed different and new features, characterized by recurrent gains of whole chromosomes 5, 7 and 8 with few chromosome rearrangements, rare DNA amplifications and no TP53 mutation. Eight tumors with as many rearrangements as WCG were left unclassified. We propose that, beside a major pathway characterized by multiple chromosome rearrangements, there is a minor pathway mainly characterized by WCG.     

Towards equitable access to medicines for the rural poor: analyses of insurance claims reveal rural pharmacy initiative triggers price competition in Kyrgyzstan

Background  

A rural pharmacy initiative (RPI) designed to increase access to medicines in rural Kyrgyzstan created a network of 12 pharmacies using a revolving drug fund mechanism in 12 villages where no pharmacies previously existed. The objective of this study was to determine if the establishment of the RPI resulted in the unforeseen benefit of triggering medicine price competition in pre-existing (non-RPI) private pharmacies located in the region.     

Interaction between vascular factors and the APOE ε4 allele in predicting rate of progression in Alzheimer's disease

Vascular factors have been shown to affect the rate of Alzheimer's disease (AD) progression. However, the effect of the APOE ε4 allele on rate of progression has been ambiguous. Little research to date has examined an interaction between vascular factors and the APOE ε4 allele in predicting decline among AD patients. 216 participants with incident AD from a population of elderly persons in Cache County, Utah, were followed for a mean of 3.3 years and 4.2 follow-up visits. A history of vascular risk factors and conditions and anti-hypertensive use was assessed at the diagnostic visit. Linear mixed effects models tested interactions between the vascular factors, APOE ε4, and time as predictors of clinical progression on the Mini-Mental State Exam (MMSE) and Clinical Dementia Rating-Sum of Boxes (CDR-SB). Multiple comparisons were corrected using the Holm-Bonferroni method. There was a 3-way interaction between stroke, APOE ε4 and time in predicting MMSE decline (LR χ2 = 10.32, 2 df, p = 0.006). For the CDR-SB, there were 3-way interactions between the APOE ε4, time and either myocardial infarction (LR χ2 = 17.83, 2 df, p = 0.0001) or stroke (LR χ2 = 11.48, 2 df, p = 0.003. Results suggest a complex relationship between the APOE ε4 and vascular factors in predicting cognitive and functional progression. Among individuals with a history of stroke or myocardial infarction at baseline, progression of AD is influenced by APOE ε4 carrier status and varies by time after AD diagnosis.     

Cerebrospinal fluid tau,Aβ, and sTREM2 in Former National Football League Players: Modeling the relationship between repetitive head impacts,microglial activation,and neurodegeneration

Introduction

Cerebrospinal fluid (CSF) protein analysis may facilitate detection and elucidate mechanisms of neurological consequences from repetitive head impacts (RHI), such as chronic traumatic encephalopathy. We examined CSF concentrations of total tau (t-tau), phosphorylated tau, and amyloid β_1-42 and their association with RHI in former National Football League (NFL) players. The role of microglial activation (using sTREM2) was examined as a pathogenic mechanism of chronic traumatic encephalopathy.

Embracing Causal Complexity in Health Disparities: Metabolic Syndemics and Structural Prevention in Rural Minority Communities

Chronic discrimination and associated socioeconomic inequalities have shaped the health and well-being of Black Americans. As a consequence of the intersection of these factors with rural deprivation, rural Black Americans live and work in particularly pathogenic environments that generate disproportionate and interacting chronic comorbidities (syndemics) compared to their White and/or urban counterparts. Traditional prevention research has been unable to fully capture the underlying complexity of rural minority health and has generated mostly low-leverage interventions that have failed to reverse adverse metabolic outcomes among rural Black Americans. In contrast, novel research approaches—such as system dynamics modeling—that seek to understand holistic system structure and determine complex health outcomes over time provide a robust framework to develop a more accurate understanding of the key factors contributing to type 2 diabetes. This framework can then be used to establish more efficacious interventions to address disparities among minorities in rural areas. This paper advocates for a unified complex systems epistemology and methodology in advancing rural minority health disparities research. Toward this goal, we (1) provide an overview of rural Black American metabolic health research, (2) introduce a complex systems framework in rural minority health disparities research, and (3) demonstrate how community-based system dynamics modeling and simulation can help us plow new ground in rural minority health disparities research and action. We anticipate that this paper can serve as a catalyst for a long-overdue discourse on the relevance of complex systems approaches in minority health research, with practical benefits for numerous disproportionately burdened communities.     

Using claims for long-term services and support to predict mortality and hospital use

BackgroundDespite limitations in their clinical content, claims data from administering health plans can provide important insights about service use and outcomes across large populations. However, using claims data to investigate care and outcomes among persons with disability is challenging because standard diagnosis, procedure, and medication codes provide little information about functional impairments or disability.ObjectiveTo explore whether supportive services claims provide useful information for predicting health care outcomes among persons with chronic disease and disability.MethodsWe used administrative data from a nonprofit, Massachusetts health plan, including members who were 21 years of age and older and dually-eligible for Medicare and Medicaid. With procedure codes, we identified long-term services and supports and ventilator and percutaneous endoscopic gastrostomy supplies. Data from calendar year 2015 were used to predict deaths and hospitalizations in 2016. Hazards ratio analyses predicted these outcomes adjusting for age, sex, disease burden, and amount of personal assistance and homemaker services used (proxy functional status measure).ResultsIn bivariate analyses, all four predictors were statistically significant for both outcomes. In the full model, the proxy functional status measure did not statistically significantly predict hospitalization or death. After eliminating disease burden from the model, the proxy functional status measure became statistically significant, with hazards ratios of 1.006 for hospitalization (p = 0.0011) and 1.014 (p = <0.0001) for death.ConclusionsClaims for supportive services could be proxies for disability in analyses using administrative data, but additional research must demonstrate their usefulness for predicting health care outcomes.