This paper describes the sources, magnitude, and correlates of missing data in the Behavioral Risk Factor Surveillance System Sexual Orientation and Gender Identity module.
Missing data from the ...Behavioral Risk Factor Surveillance System Sexual Orientation and Gender Identity module fielded from 2014 to 2019 were ascribed to 4 sources: the optional nature of the Sexual Orientation and Gender Identity module, out-of-state cell phone respondents, interview termination, and item nonresponse. The prevalence of missingness from these 4 sources was examined in relation to sociodemographic factors and survey process factors. Data were analyzed in 2018–2020.
From 2014 to 2019, of 2,698,738 Behavioral Risk Factor Surveillance System respondents, 1,330,025 (44.8%, weighted) were in states that did not administer the Sexual Orientation and Gender Identity module. Among 723,301 cell phone interviews in states administering the module, 12.5% (weighted) were out of state. Among 1,316,174 otherwise potential respondents, 9.4% (weighted) terminated the interview before Sexual Orientation and Gender Identity module administration. Among 1,205,177 administered the module, item-level missingness was 3.4% for sexual orientation and 1.3% for gender identity. Correlates of missingness varied considerably at each stage.
Missing the Behavioral Risk Factor Surveillance System Sexual Orientation and Gender Identity data is much more prevalent than item nonresponse alone would suggest. Analytic techniques that consider only item nonresponse, such as complete case analysis, risk producing biased findings. Including the Sexual Orientation and Gender Identity module in the required core demographics section is the only feasible method to reduce the amount and complexity of missing data.
To identify perceived differences in the key domains of patient-provider communications between sexual and gender minority (SGM) and non-SGM patients.
We reviewed data from the Health Information ...National Trends Survey (HINTS) to assess patient perspectives on different domains of patient-provider communications in the ideological framework by Epstein and Street (2007) 1. Between SGM-identified (N = 491) and cisgender, heterosexual respondents (N = 7426), we assessed the proportions of responses to survey questions about the six domains of patient-provider communications and calculated odds ratios (OR) with 95 % confidence intervals (CI) (N = 7917).
Overall, compared to cisgender, heterosexual individuals, fewer SGM individuals reported always experiencing optimal patient-provider communications across all domains, most notably in areas of emotional support (OR=0.70, 95 % CI: (0.51, 0.97)), patient self-management (OR=0.73, 95 % CI: (0.54, 0.99)), and managing uncertainty (OR=0.68, 95 % CI: (0.49, 0.94)).
Further research on detailed SGM patient perceptions of their relationships with healthcare providers is needed to understand why such differences in communication exist and provide practical recommendations to improve care delivery.
SGM patients perceive their current provider communications to be suboptimal, so we must improve emotional management training in future provider-based SGM competency trainings and encourage patient self-management during individual provider encounters.
This study examines links between racial residential segregation and estimated ambient air toxics exposures and their associated cancer risks using modeled concentration estimates from the U.S. ...Environmental Protection Agency's National Air Toxics Assessment. We combined pollutant concentration estimates with potencies to calculate cancer risks by census tract for 309 metropolitan areas in the United States. This information was combined with socioeconomic status (SES) measures from the 1990 Census. Estimated cancer risks associated with ambient air toxics were highest in tracts located in metropolitan areas that were highly segregated. Disparities between racial/ethnic groups were also wider in more segregated metropolitan areas. Multivariate modeling showed that, after controlling for tract-level SES measures, increasing segregation amplified the cancer risks associated with ambient air toxics for all racial groups combined highly segregated areas: relative cancer risk (RCR) = 1.04; 95% confidence interval (CI), 1.01-107; extremely segregated areas: RCR = 1.32; 95% CI, 1.28-1.36. This segregation effect was strongest for Hispanics (highly segregated areas: RCR = 1.09; 95% CI, 1.01-1.17; extremely segregated areas: RCR = 1.74; 95% CI, 1.61-1.88) and weaker among whites (highly segregated areas: RCR = 1.04; 95% CI, 1.01-1.08; extremely segregated areas: RCR = 1.28; 95% CI, 1.24-1.33), African Americans (highly segregated areas: RCR = 1.09; 95% CI, 0.98-1.21; extremely segregated areas: RCR = 1.38; 95% CI, 1.24-1.53), and Asians (highly segregated areas: RCR = 1.10; 95% CI, 0.97-1.24; extremely segregated areas: RCR = 1.32; 95% CI, 1.16-1.51). Results suggest that disparities associated with ambient air toxics are affected by segregation and that these exposures may have health significance for populations across racial lines.
Cross-sectional studies suggest urban greenness is unequally distributed by neighborhood demographics. However, the extent to which inequalities in greenness have changed over time remains unknown.
...We estimated 2001 and 2011 greenness using Moderate-resolution Imaging Spectroradiometer (MODIS) satellite-derived normalized difference vegetative index (NDVI) in 59,483 urban census tracts in the contiguous U.S. We fit spatial error models to estimate the association between baseline census tract demographic composition in 2000 and (1) 2001 greenness and (2) change in greenness between 2001 and 2011.
In models adjusted for population density, climatic factors, housing tenure, and Index of Concentration at the Extremes for income (ICE), an SD increase in percent White residents (a 30% increase) in 2000 was associated with 0.021 (95% CI: 0.018, 0.023) higher 2001 NDVI. We observed a stepwise reduction in 2001 NDVI with increased concentration of poverty. Tracts with a higher proportion of Hispanic residents in 2000 lost a small, statistically significant amount of greenness between 2001 and 2011 while tracts with higher proportions of Whites experienced a small, statistically significant increase in greenness over the same period.
Census tracts with a higher proportion of racial/ethnic minorities, compared to a higher proportion of White residents, had less greenness in 2001 and lost more greenness between 2001 and 2011. Policies are needed to increase greenness, a health-promoting neighborhood asset, in disadvantaged communities.
We examined the distribution of heat risk-related land cover (HRRLC) characteristics across racial/ethnic groups and degrees of residential segregation.
Block group-level tree canopy and impervious ...surface estimates were derived from the 2001 National Land Cover Dataset for densely populated urban areas of the United States and Puerto Rico, and linked to demographic characteristics from the 2000 Census. Racial/ethnic groups in a given block group were considered to live in HRRLC if at least half their population experienced the absence of tree canopy and at least half of the ground was covered by impervious surface (roofs, driveways, sidewalks, roads). Residential segregation was characterized for metropolitan areas in the United States and Puerto Rico using the multigroup dissimilarity index.
After adjustment for ecoregion and precipitation, holding segregation level constant, non-Hispanic blacks were 52% more likely (95% CI: 37%, 69%), non-Hispanic Asians 32% more likely (95% CI: 18%, 47%), and Hispanics 21% more likely (95% CI: 8%, 35%) to live in HRRLC conditions compared with non-Hispanic whites. Within each racial/ethnic group, HRRLC conditions increased with increasing degrees of metropolitan area-level segregation. Further adjustment for home ownership and poverty did not substantially alter these results, but adjustment for population density and metropolitan area population attenuated the segregation effects, suggesting a mediating or confounding role.
Land cover was associated with segregation within each racial/ethnic group, which may be explained partly by the concentration of racial/ethnic minorities into densely populated neighborhoods within larger, more segregated cities. In anticipation of greater frequency and duration of extreme heat events, climate change adaptation strategies, such as planting trees in urban areas, should explicitly incorporate an environmental justice framework that addresses racial/ethnic disparities in HRRLC.
A growing body of evidence has associated maternal exposure to air pollution with adverse effects on fetal growth; however, the existing literature is inconsistent.
We aimed to quantify the ...association between maternal exposure to particulate air pollution and term birth weight and low birth weight (LBW) across 14 centers from 9 countries, and to explore the influence of site characteristics and exposure assessment methods on between-center heterogeneity in this association.
Using a common analytical protocol, International Collaboration on Air Pollution and Pregnancy Outcomes (ICAPPO) centers generated effect estimates for term LBW and continuous birth weight associated with PM(10) and PM(2.5) (particulate matter ≤ 10 and 2.5 µm). We used meta-analysis to combine the estimates of effect across centers (~ 3 million births) and used meta-regression to evaluate the influence of center characteristics and exposure assessment methods on between-center heterogeneity in reported effect estimates.
In random-effects meta-analyses, term LBW was positively associated with a 10-μg/m3 increase in PM10 odds ratio (OR) = 1.03; 95% CI: 1.01, 1.05 and PM(2.5) (OR = 1.10; 95% CI: 1.03, 1.18) exposure during the entire pregnancy, adjusted for maternal socioeconomic status. A 10-μg/m3 increase in PM(10) exposure was also negatively associated with term birth weight as a continuous outcome in the fully adjusted random-effects meta-analyses (-8.9 g; 95% CI: -13.2, -4.6 g). Meta-regressions revealed that centers with higher median PM(2.5) levels and PM(2.5):PM(10) ratios, and centers that used a temporal exposure assessment (compared with spatiotemporal), tended to report stronger associations.
Maternal exposure to particulate pollution was associated with LBW at term across study populations. We detected three site characteristics and aspects of exposure assessment methodology that appeared to contribute to the variation in associations reported by centers.
Purpose
We examined the combined influences of race/ethnicity and neighborhood socioeconomic status (SES) on long-term survival among patients with multiple myeloma (MM).
Methods
Data from the ...2000–2015 NCI Surveillance, Epidemiology, and End Results Program (SEER-18) were used. Census tract-level SES index was assessed in tertiles (low, medium, high SES). Competing-risk modeling was used to estimate sub-hazard ratios (SHR) and 95% confidence intervals (CIs) for SES tertile adjusted for sex and age at diagnosis and stratified by race/ethnicity.
Results
Overall, living in a low SES neighborhood was associated with worse MM survival. However, we observed some variation in the association by racial/ethnic group. Living in a low versus a high SES neighborhood was associated with a 35% (95% CI = 1.16–1.57) increase in MM-specific mortality risk among Asian/Pacific Islander cases, a 17% (95% CI = 1.12–1.22) increase among White cases, a 14% (95% CI = 1.04–1.23) increase among Black cases, and a 7% (95% CI = 0.96–1.19) increase among Hispanic cases.
Conclusion
These results suggest that the influence of both SES and race/ethnicity should be considered when considering interventions to remedy disparities in MM survival.
Objective
We estimated the prevalence of diagnosed eating disorders, overall and by select demographics, among commercially insured individuals identified as transgender in a national claims ...database.
Methods
From the 2018 IBM® MarketScan® Commercial Database, there were 10,415 people identifiable as transgender based on International Classification of Disease (ICD‐10) codes and procedure codes, specific to gender‐affirming care, from inpatient and outpatient claims. Eating disorders were identified from ICD‐10 codes and included anorexia nervosa, bulimia nervosa, binge eating disorder, eating disorder not otherwise specified, avoidant restrictive feeding and intake disorder, and other specified feeding and eating disorders. We estimated the prevalence of specific eating disorders diagnoses by selecting patient characteristics.
Results
Of individuals receiving some form of gender‐affirming care, 2.43% (95% confidence interval: 2.14%–2.74%) were diagnosed with an eating disorder: 0.84% anorexia nervosa, 0.36% bulimia nervosa, 0.36% binge eating disorder, 0.15% avoidant restrictive feeding and intake disorder, 0.41% other specified feeding and eating disorders, and 1.37% with an unspecified eating disorder. Among transgender‐identifiable patients aged 12–15 years, 5.60% had an eating disorder diagnosis, whereas 0.52% had an eating disorder diagnosis in patients aged 45–64 years.
Discussion
In patients identifiable as transgender, with receipt of gender‐affirming care, the prevalence of diagnosed eating disorders was low compared to extant self‐reported data for eating disorder diagnosis in transgender individuals. Among this population, eating disorders were highest in adolescents and young adults. Clinically verified prevalence estimates for eating disorder diagnosis in transgender people with a history of gender‐affirming care warrant further investigation.
Public Significance
The present study aims to provide clinically validated, contemporary prevalence estimates for diagnosed eating disorders among a medically affirmed population of transgender adults and children in the United States. We report low prevalence of having any eating disorder relative to prevalence estimates reported in prior literature without clinical validation. These findings may be explained by access to affirming care and medical care generally.
Studies have identified relationships between air pollution and birth weight, but have been inconsistent in identifying individual pollutants inversely associated with birth weight or elucidating ...susceptibility of the fetus by trimester of exposure. We examined effects of prenatal ambient pollution exposure on average birth weight and risk of low birth weight in full-term births.
We estimated average ambient air pollutant concentrations throughout pregnancy in the neighborhoods of women who delivered term singleton live births between 1996 and 2006 in California. We adjusted effect estimates of air pollutants on birth weight for infant characteristics, maternal characteristics, neighborhood socioeconomic factors, and year and season of birth.
3,545,177 singleton births had monitoring for at least one air pollutant within a 10 km radius of the tract or ZIP Code of the mother's residence. In multivariate models, pollutants were associated with decreased birth weight; -5.4 grams (95% confidence interval -6.8 g, -4.1 g) per ppm carbon monoxide, -9.0 g (-9.6 g, -8.4 g) per pphm nitrogen dioxide, -5.7 g (-6.6 g, -4.9 g) per pphm ozone, -7.7 g (-7.9 g, -6.6 g) per 10 microg/m3 particulate matter under 10 microm, -12.8 g (-14.3 g, -11.3 g) per 10 microg/m3 particulate matter under 2.5 microm, and -9.3 g (-10.7 g, -7.9 g) per 10 microg/m3 of coarse particulate matter. With the exception of carbon monoxide, estimates were largely unchanged after controlling for co-pollutants. Effect estimates for the third trimester largely reflect the results seen from full pregnancy exposure estimates; greater variation in results is seen in effect estimates specific to the first and second trimesters.
This study indicates that maternal exposure to ambient air pollution results in modestly lower infant birth weight. A small decline in birth weight is unlikely to have clinical relevance for individual infants, and there is debate about whether a small shift in the population distribution of birth weight has broader health implications. However, the ubiquity of air pollution exposures, the responsiveness of pollutant levels to regulation, and the fact that the highest pollution levels in California are lower than those regularly experienced in other countries suggest that precautionary efforts to reduce pollutants may be beneficial for infant health from a population perspective.
PDF
