Building the foundation for a community-generated national research blueprint for inherited bleeding disorders: research priorities in health services; diversity, equity, and inclusion; and implementation science.

BACKGROUND: The National Hemophilia Foundation (NHF) conducted extensive all-stakeholder inherited bleeding disorder (BD) community consultations to inform a blueprint for future research. Sustaining and expanding the specialized and comprehensive Hemophilia Treatment Center care model, to better serve all people with inherited BDs (PWIBD), and increasing equitable access to optimal health emerged as top priorities. RESEARCH DESIGN AND METHODS: NHF, with the American Thrombosis and Hemostasis Network (ATHN), convened multidisciplinary expert working groups (WG) to distill priority research initiatives from consultation findings. WG5 was charged with prioritizing health services research (HSR); diversity, equity, and inclusion (DEI); and implementation science (IS) research initiatives to advance community-identified priorities. RESULTS: WG5 identified multiple priority research themes and initiatives essential to capitalizing on this potential. Formative studies using qualitative and mixed methods approaches should be conducted to characterize issues and meaningfully investigate interventions. Investment in HSR, DEI and IS education, training, and workforce development are vital. CONCLUSIONS: An enormous amount of work is required in the areas of HSR, DEI, and IS, which have received inadequate attention in inherited BDs. This research has great potential to evolve the experiences of PWIBD, deliver transformational community-based care, and advance health equity.

Research into how people get their health care, called health services research, is important to understand if care is being delivered equitably and efficiently. This research figures out how to provide the best care at the lowest cost and finds out if everyone gets equally good care. Diversity and inclusion research focuses on whether all marginalized and minoritized populations (such as a given social standing, race, ethnicity, sex, gender identity, sexuality, age, income, disability status, language, culture, faith, geographic location, or country of birth) receive equitable care. This includes checking whether different populations are all getting the care they need and looking for ways to improve the care. Implementation science studies how to make a potential improvement work in the real world. The improvement could be a new way to diagnose or treat a health condition, a better way to deliver health care or do research, or a strategy to remove barriers preventing specific populations from getting the best available care. The National Hemophilia Foundation focuses on improving the lives of all people with bleeding disorders (BD). They brought BDs doctors, nurses, physical therapists, social workers, professors, and government and industry partners together with people and families living with BDs to discuss research in the areas described above. The group came up with important future research questions to address racism and other biases, and other changes to policies, procedures, and practices to make BD care equitable, efficient, and effective.

The Erasure of Intersex, Transgender, Nonbinary, and Agender Experiences Through Misuse of Sex and Gender in Health Research.

Conflation of the terms and concepts of "sex" and "gender" continues to perpetuate the invisibility of sex and gender minorities and obscure information about the ways in which biological sex and gender affect health. The misuse of sex and gender terms and the sex and gender binaries can yield inaccurate results but also, more importantly, contributes to the erasure of intersex, transgender, nonbinary, and agender health experiences. In this article, we discuss ways in which public health researchers can use sex and gender terms correctly and center the health experiences of intersex, transgender, nonbinary, and agender individuals. This includes promoting sensitivity in approaching sex and gender minority communities, improving survey questions, and collaborating with GSM communities to improve research quality and participant experiences. Improving our standards for the quality of sex and gender term usage and centering sex and gender minorities in public health research are imperative to addressing the health inequalities faced by sex and gender minorities.

Routine Assessment of Patient Index Data 3 Score and Psoriasis Quality of Life Assess Complementary Yet Different Aspects of Patient-Reported Outcomes in Psoriasis and Psoriatic Arthritis.

BACKGROUND: Psoriasis Quality of Life (PQoL-12) is a validated composite tool assessing patients' quality of life (QoL) with psoriasis (PsO) and psoriatic arthritis (PsA). Routine Assessment of Patient Index Data 3 (RAPID3), measuring physical function, pain, and patient global assessment, is used for rheumatoid arthritis. Routine Assessment of Patient Index Data 3 has not been used to assess PsO/PsA patients' QoL. OBJECTIVE: The aim of this study was to investigate the correlation between PQoL-12 and RAPID3 in PsO and PsA patients in a cross-sectional and longitudinal analyses. METHODS: Data came from PsO and PsA patients seen from 2008 to 2015 at Oregon Health & Science University (n = 558: 393 with PsO and 165 with PsA). Nonlinear least squares regressions modeled PQoL-12 with functions of RAPID3, controlling for time since first visit. Nonparametric ROC determined RAPID3 scores best correlating with PQoL-12 cutoffs. RESULTS: Among the PsO cohort, PQoL-12 was explained by RAPID3, the square of RAPID3, time since first visit, and the square of time since first visit; adjusted R = 0.414. For the PsA cohort, PQoL-12 was explained by RAPID3, change in slope of RAPID3 at 2.28, time since first visit, the square of time since first visit; adjusted R = 0.340. Routine Assessment of Patient Index Data 3 cutoffs for PQoL-12 scores of 48 and 96 (mild and moderate QoL impairment) in PsO were 1.55 and 5.72 and in PsA were 1.89 and 6.34. CONCLUSIONS: Routine Assessment of Patient Index Data 3 weakly correlated with PQoL-12, indicating these indices assess different aspects of PsO and PsA. Routine Assessment of Patient Index Data 3 fails to capture mental health information that greatly impacts patients' QoL, whereas PQoL-12 fails to capture the physical and functional aspects of the disease. Results indicate the importance of capturing mental health assessment in order to create a comprehensive tool to measure how psoriatic disease affects patients' QoL.

Homicide Rates of Transgender Individuals in the United States: 2010-2014.

OBJECTIVES: To estimate homicide rates of transgender US residents and relative risks (RRs) of homicide with respect to cisgender comparators intersected with age, gender, and race/ethnicity. METHODS: I estimated homicide rates for transgender residents and transfeminine, Black, Latin@, and young (aged 15-34 years) subpopulations during the period 2010 to 2014 using Transgender Day of Remembrance and National Coalition of Anti-Violence Programs transgender homicide data. I used estimated transgender prevalences to estimate RRs using cisgender comparators. I performed a sensitivity analysis to situate all results within assumptions about underreporting of transgender homicides and assumptions about the prevalence of transgender residents. RESULTS: The overall homicide rate of transgender individuals was likely to be less than that of cisgender individuals, with 8 of 12 RR estimates below 1.0. However, the homicide rates of young transfeminine Black and Latina residents were almost certainly higher than were those of cisfeminine comparators, with all RR estimates above 1.0 for Blacks and all above 1.0 for Latinas. CONCLUSIONS: Antiviolence public health programs should identify young and Black or Latina transfeminine women as an especially vulnerable population.

Routine Assessment of Patient Index Data 3 score (RAPID3) correlates well with Bath Ankylosing Spondylitis Disease Activity index (BASDAI) in the assessment of disease activity and monitoring progression of axial spondyloarthritis.

Routine Assessment of Patient Index Data 3 (RAPID3) is a composite index, very useful for assessment of disease activity of various rheumatic diseases including RA. If RAPID3 can also reliably measure disease activity in axial spondyloarthritis (axSpA), it may prove to be a practical and effective quantitative assessment tool in busy practices. We studied the association of RAPID3 with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI). Patients with Ankylosing Spondylitis (AS) seen from 2007 to 2012 were classified as having AS or non-radiographic axial spondyloarthritis (nr-axSpA) using modified New York criteria and Assessment of SpondyloArthritis International Society criteria, respectively. Patients with simultaneous BASDAI and RAPID3 scores were enrolled (N = 112; 105 with AS, seven with nr-axSpA). Multiple regression and nonparametric receiver operating characteristics were used. Baseline mean (SD) BASDAI and RAPID3 were 4.2 (2.5) and 3.8 (2.3), respectively. Multiple linear regressions modeled a quadratic relationship between BASDAI and RAPID3 for 321 observations in 112 patients with axSpA (1) cross-sectionally: BASDAI predicted by RAPID3 (ß = 1.171; s.e. = 0.113, p < 0.001) and RAPID3(2) (ß = -0.037; s.e. = 0.014, p = 0.011) with an adjusted R (2) of 0.676; and (2) longitudinally: BASDAI predicted by RAPID3 (ß = 1.196; s.e. = 0.111, p < 0.001), RAPID3(2) (ß = -0.042; s.e. = 0.014, p = 0.004), and visit number (ß = -0.142; s.e. = 0.038, p < 0.001) with an adjusted R (2) of 0.689. RAPID3 (correctly classified) corresponded to BASDAI scores of 2, 4, and 6: 1.40 (85.8 %), 3.33 (81.9 %), and 5.43 (87.1 %), respectively. RAPID3 correlates well with BASDAI in monitoring axSpA patients (including AS) in cross-sectional and longitudinal follow-up. Since it also correlates with measures of disease activity of other rheumatic diseases including RA, RAPID3 could be an attractive measure for assessing and monitoring disease activity of several conditions seen in busy rheumatology practices.

Comment on "The effect of same-sex marriage laws on different-sex marriage: evidence from the Netherlands".

In the recent Demography article titled "The Effect of Same-Sex Marriage Laws on Different-Sex Marriage: Evidence From the Netherlands," Trandafir attempted to answer the question, Are rates of opposite sex marriage affected by legal recognition of same-sex marriages? The results of his approach to statistical inference-looking for evidence of a difference in rates of opposite-sex marriage-provide an absence of evidence of such effects. However, the validity of his conclusion of no causal relationship between same-sex marriage laws and rates of opposite-sex marriage is threatened by the fact that Trandafir did not also look for equivalence in rates of opposite-sex marriage in order to provide evidence of an absence of such an effect. Equivalence tests in combination with difference tests are introduced and presented in this article as a more valid inferential approach to the substantive question Trandafir attempted to answer.

Assessing the relationship among urban trees, nitrogen dioxide, and respiratory health.

Modeled atmospheric pollution removal by trees based on eddy flux, leaf, and chamber studies of relatively few species may not scale up to adequately assess landscape-level air pollution effects of the urban forest. A land use regression (LUR) model (R(2) = 0.70) based on NO2 measured at 144 sites in Portland, Oregon (USA), after controlling for roads, railroads, and elevation, estimated every 10 ha (20%) of tree canopy within 400 m of a site was associated with a 0.57 ppb decrease in NO2. Using BenMAP and a 200 m resolution NO2 model, we estimated that the NO2 reduction associated with trees in Portland could result in significantly fewer incidences of respiratory problems, providing a $7 million USD benefit annually. These in-situ urban measurements predict a significantly higher reduction of NO2 by urban trees than do existing models. Further studies are needed to maximize the potential of urban trees in improving air quality.

Same sex marriage and the perceived assault on opposite sex marriage.

BACKGROUND: Marriage benefits both individuals and societies, and is a fundamental determinant of health. Until recently same sex couples have been excluded from legally recognized marriage in the United States. Recent debate around legalization of same sex marriage has highlighted for anti-same sex marriage advocates and policy makers a concern that allowing same sex couples to marry will lead to a decrease in opposite sex marriages. Our objective is to model state trends in opposite sex marriage rates by implementation of same sex marriages and other same sex unions. METHODS AND FINDINGS: Marriage data were obtained for all fifty states plus the District of Columbia from 1989 through 2009. As these marriage rates are non-stationary, a generalized error correction model was used to estimate long run and short run effects of same sex marriages and strong and weak same sex unions on rates of opposite sex marriage. We found that there were no significant long-run or short run effects of same sex marriages or of strong or weak same sex unions on rates of opposite sex marriage. CONCLUSION: A deleterious effect on rates of opposite sex marriage has been argued to be a motivating factor for both the withholding and the elimination of existing rights of same sex couples to marry by policy makers-including presiding justices of current litigation over the rights of same sex couples to legally marry. Such claims do not appear credible in the face of the existing evidence, and we conclude that rates of opposite sex marriages are not affected by legalization of same sex civil unions or same sex marriages.

A study of riders' noise exposure on Bay Area Rapid Transit trains.

Excessive noise exposure may present a hazard to hearing, cardiovascular, and psychosomatic health. Mass transit systems, such as the Bay Area Rapid Transit (BART) system, are potential sources of excessive noise. The purpose of this study was to characterize transit noise and riders' exposure to noise on the BART system using three dosimetry metrics. We made 268 dosimetry measurements on a convenience sample of 51 line segments. Dosimetry measures were modeled using linear and nonlinear multiple regression as functions of average velocity, tunnel enclosure, flooring, and wet weather conditions and presented visually on a map of the BART system. This study provides evidence of levels of hazardous levels of noise exposure in all three dosimetry metrics. L(eq) and L(max) measures indicate exposures well above ranges associated with increased cardiovascular and psychosomatic health risks in the published literature. L(peak) indicate acute exposures hazardous to adult hearing on about 1% of line segment rides and acute exposures hazardous to child hearing on about 2% of such rides. The noise to which passengers are exposed may be due to train-specific conditions (velocity and flooring), but also to rail conditions (velocity and tunnels). These findings may point at possible remediation (revised speed limits on longer segments and those segments enclosed by tunnels). The findings also suggest that specific rail segments could be improved for noise.

Tobacco control policies are egalitarian: a vulnerabilities perspective on clean indoor air laws, cigarette prices, and tobacco use disparities.

This study models independent associations of state or local strong clean indoor air laws and cigarette prices with current smoker status and consumption in a multilevel framework, including interactions with educational attainment, household income and race/ethnicity and the relationships of these policies to vulnerabilities in smoking behavior. Cross sectional survey data are employed from the February 2002 panel of the Tobacco Use Supplement of the Current Population Survey (54,024 individuals representing the US population aged 15-80). Non-linear relationships between both outcome variables and the predictors were modeled. Independent associations of strong clean indoor air laws were found for current smoker status (OR 0.66), and consumption among current smokers (-2.36 cigarettes/day). Cigarette price was found to have independent associations with both outcomes, an effect that saturated at higher prices. The odds ratio for smoking for the highest versus lowest price over the range where there was a price effect was 0.83. Average consumption declined (-1.16 cigarettes/day) over the range of effect of price on consumption. Neither policy varied in its effect by educational attainment, or household income. The association of cigarette price with reduced smoking participation and consumption was not found to vary with race/ethnicity. Population vulnerability in consumption appears to be structured by non-white race categories, but not at the state and county levels at which the policies we studied were enacted. Clean indoor air laws and price increases appear to benefit all socio-economic and race/ethnic groups in our study equally in terms of reducing smoking participation and consumption.

Exploring the Sensitivity of Horn's Parallel Analysis to the Distributional Form of Random Data.

Horn's parallel analysis (PA) is the method of consensus in the literature on empirical methods for deciding how many components/factors to retain. Different authors have proposed various implementations of PA. Horn's seminal 1965 article, a 1996 article by Thompson and Daniel, and a 2004 article by Hayton, Allen, and Scarpello all make assertions about the requisite distributional forms of the random data generated for use in PA. Readily available software is used to test whether the results of PA are sensitive to several distributional prescriptions in the literature regarding the rank, normality, mean, variance, and range of simulated data on a portion of the National Comorbidity Survey Replication (Pennell et al., 2004) by varying the distributions in each PA. The results of PA were found not to vary by distributional assumption. The conclusion is that PA may be reliably performed with the computationally simplest distributional assumptions about the simulated data.

Effect of the California tobacco control program on personal health care expenditures.

BACKGROUND: Large state tobacco control programs have been shown to reduce smoking and would be expected to affect health care costs. We investigate the effect of California's large-scale tobacco control program on aggregate personal health care expenditures in the state. METHODS AND FINDINGS: Cointegrating regressions were used to predict (1) the difference in per capita cigarette consumption between California and 38 control states as a function of the difference in cumulative expenditures of the California and control state tobacco control programs, and (2) the relationship between the difference in cigarette consumption and the difference in per capita personal health expenditures between the control states and California between 1980 and 2004. Between 1989 (when it started) and 2004, the California program was associated with $86 billion (2004 US dollars) (95% confidence interval [CI] $28 billion to $151 billion) lower health care expenditures than would have been expected without the program. This reduction grew over time, reaching 7.3% (95% CI 2.7%-12.1%) of total health care expenditures in 2004. CONCLUSIONS: A strong tobacco control program is not only associated with reduced smoking, but also with reductions in health care expenditures.

Prevalence and risk factors for depressive symptoms in persons with chronic obstructive pulmonary disease.

BACKGROUND: Although depression is a risk factor for adverse outcomes in chronic illness, little is known about the prevalence or risk factors for depressive symptoms in chronic obstructive pulmonary disease (COPD). OBJECTIVE: To determine the prevalence of depressive symptoms in COPD as compared to other chronic illnesses and to identify risk factors for depressive symptoms in COPD. DESIGN AND PATIENTS: Cross-sectional study of 18,588 persons (1,736 subjects with self-reported COPD), representing a sample of the US population aged > or =50 years who participated in the 2004 Health and Retirement Survey. MEASUREMENTS: Presence of COPD and other chronic conditions was defined by self-report. Presence of depressive symptoms was assessed using the CES-D8 scale. Participants with a score > or =3 on CES-D8 were classified as having clinically significant depressive symptoms. MAIN RESULTS: Of 1,736 participants with COPD, 40% had > or =3 depressive symptoms. Depressive symptoms were more common in COPD than in coronary heart disease, stroke, diabetes, arthritis, hypertension, and cancer. Risk factors for > or =3 depressive symptoms in COPD: younger age (OR 1.02/per year younger, 95% CI [1.02-1.03]), female gender (1.2 [1.1-1.3]), current smoking (1.5 [1.3-1.7]), marital status [divorced/separated (1.8 [1.6-2.1]), widowed (1.8 [1.6-2]), never married (1.4 [1.1-1.8]), < or =high school degree (1.6 [1.5-1.8]), dyspnea (2.3 [2.1-2.6]), difficulty walking (2.8 [2.5-3.2]), and co-morbid diabetes (1.2 [1.1-1.4]), arthritis (1.3 [1.2-1.5]) or cancer (1.2 [1.1-1.4]). CONCLUSIONS: Depressive symptoms are common in COPD and are more likely to occur in COPD than in other common chronic illnesses. The risk factors identified may be used for targeted depression screening in COPD patients.

Loop analysis of causal feedback in epidemiology: an illustration relating to urban neighborhoods and resident depressive experiences.

The causal feedback implied by urban neighborhood conditions that shape human health experiences, that in turn shape neighborhood conditions through a complex causal web, raises a challenge for traditional epidemiological causal analyses. This article introduces the loop analysis method, and builds off of a core loop model linking neighborhood property vacancy rate, resident depressive symptoms, rate of neighborhood death, and rate of neighborhood exit in a feedback network. External interventions and models including resident social isolation and neighborhood greenspace programs are hypothesized to predict different effects upon depressive symptoms and neighborhood conditions. I justify and apply loop analysis to the specific example of depressive symptoms and abandoned urban residential property to show how inquiries into the behavior of causal systems can answer different kinds of hypotheses, and thereby compliment those of causal modeling using statistical models. Neighborhood physical conditions that are only indirectly influenced by depressive symptoms may nevertheless manifest the mental health experiences of their residents; conversely, neighborhood physical conditions may be a significant mental health risk for the population of neighborhood residents. I find that participatory greenspace programs are likely to produce adaptive responses in depressive symptoms and different neighborhood conditions, which are different in character to non-participatory greenspace interventions.