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This study reviews the impact of eligibility policies in the early rollout of the COVID-19 vaccine on coverage and probable outcomes, with a focus on New York City. We conducted a retrospective ecological study assessing age 65+, area-level income, vaccination coverage, and COVID-19 mortality rates, using linked Census Bureau data and New York City Health administrative data aggregated at the level of modified zip code tabulation areas (MODZCTA). The population for this study was all individuals in 177 MODZCTA in New York City. Population data were obtained from Census Bureau and New York City Health administrative data. The total mortality rate was examined through an ordinary least squares (OLS) regression model, using area-level wealth, the proportion of the population aged 65 and above, and the vaccination rate among this age group as predictors. Low-income areas with high proportions of older people demonstrated lower coverage rates (mean vaccination rate 52.8%; maximum coverage 67.9%) than wealthier areas (mean vaccination rate 74.6%; maximum coverage 99% in the wealthiest quintile) in the first 3 months of vaccine rollout and higher mortality over the year. Despite vaccine shortages, many younger people accessed vaccines ahead of schedule, particularly in high-income areas (mean coverage rate 60% among those 45–64 years in the wealthiest quintile). A vaccine program that prioritized those at greatest risk of COVID-19-associated morbidity and mortality would have prevented more deaths than the strategy that was implemented. When rolling out a new vaccine, policymakers must account for local contexts and conditions of high-risk population groups. If New York had focused limited vaccine supply on low-income areas with high proportions of residents 65 or older, overall mortality might have been lower. [ABSTRACT FROM AUTHOR]

The WHO guidelines on mass distribution of azithromycin for child survival recommend monitoring of mortality to evaluate effectiveness. Trials that contributed evidence to these guidelines used a population-based census to monitor vital status, requiring census workers to visit each household biannually (twice yearly). Birth history is an alternative to the census approach that may be more feasible because it decreases the time and labor needed for mortality monitoring. This study aimed to compare the population-based census (reference standard) and birth history (index test) approaches to estimating mortality among children 1 to 59 months old using data from the Macrolides Oraux pour Réduire les Décès avec un Oeil sur la Résistance (MORDOR) trial. Sixteen communities that received 5 years of biannual census in the MORDOR trial were selected randomly also to receive birth history surveys. The census approach recorded more participants and households than birth history, with correlations more than 0.94 for each. The correlation between number of deaths in each community was 0.84 (95% CI, 0.59-0.94). A comparison of the mortality incidence rate estimated from the census against the under-5 mortality rate estimated from the birth history resulted in a correlation of 0.60 (95% CI, 0.15-0.84). Of the 47% of children who were linked individually to compare vital status from each method, the death status of children had a sensitivity of 80% (95% CI, 73-89) and a specificity of 98% (95% CI, 98-99), comparing birth history to census. Overall birth histories were found to be a reasonable alternative to biannual census for tracking vital status.

BACKGROUND: Metabolic syndrome varies by socio-demographic characteristics, with younger (18-29 years) and older (50-69 years) Hispanic/Latino having higher prevalence compared to other groups. While there is substantial research on neighborhood influences on cardiometabolic health, there are mixed findings regarding the effects of gentrification and few studies have included Hispanic/Latinos. The role of neighborhood income inequality on metabolic health remains poorly understood. OBJECTIVES: Examined associations of neighborhood gentrification and income inequality with metabolic syndrome (MetSyn) using data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). DESIGN, SETTING AND PARTICIPANTS: The HCHS/SOL is a community-based cohort of adults of Hispanic/Latinos (aged 18-74). Analyses included 6710 adults who did not meet criteria for MetsS at baseline (2008-2011) and completed the visit 2 examination (2014-2017). Poisson regressions estimated odds ratios (IRR) and 95% confidence intervals (CI) for neighborhood gentrification and change in income inequality with MetSyn incidence. MAIN OUTCOME AND EXPOSURE MEASURES: Gentrification was measured with an index that included changes (2000 to 2006-2010) in education, poverty, and income. Change in neighborhood income inequality (2005-2009 to 2012-2016) was measured using the Gini coefficient of income distribution. MetSyn was defined using National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS: Among 6647 Hispanic/Latino adults, 23% (N = 1530) had incident MetSyn. In models adjusted for socio-demographic, health insurance status, and neighborhood characteristics, gentrification (IRR, 1.00, 95%CI, 0.96-1.03) and income inequality change (IRR, 1.00, 95%CI, 0.99-1.00) were not associated with MetSyn at visit 2. There was no association between cross-sectional income inequality (2005-2009) and MetSyn at visit 2 (IRR, 0.97, 95%CI, 0.82-1.15). CONCLUSION: Neighborhood gentrification and income inequality change were not associated with incidence of MetSyn over 6 years among Hispanic/Latino adults. This study demonstrated that income-based residential changes alone may not be sufficient to explain neighborhood influences on health outcomes among this population.

Objectives. To examine patterns of cumulative environmental injustice with respect to operations of urban oil and gas development in Los Angeles County, California. Methods. Using CalEnviroScreen (CES) 4.0, oil and gas data permit records, and US census data, we examined the association between CES score (grouped into equal quintiles, with the lowest representing low cumulative burden) and oil and gas development (presence or absence of an oil and gas production well) within 1 kilometer of a census block centroid. Results. Among census blocks in the highest quintile of CES score, we observed 94% increased odds of being within 1 kilometer of a well compared with census blocks in the lowest quintile of CES score (odds ratio = 1.94; 95% confidence interval = 1.83, 2.10). In our multivariable model, the proportion of Black residents and higher quintiles of CES score were also associated with increased odds of a nearby oil and gas well. Conclusions. These findings suggest that oil and gas facilities are operating in neighborhoods already cumulatively burdened and with higher proportions of Black residents. (Am J Public Health. 2023;113(11):1182-1190. https://doi.org/10.2105/AJPH.2023.307360).

Context: A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Department of Community Medicine was tasked with SARS-CoV2-IgG antibody serosurvey by Pimpri Chinchwad Municipal Corporation, sampling 5000 people spread over an area of 181 sq. km. There were no real-time mapping apps available for field surveys. Aims: Our aim was to develop an easy-to-use GIS system with a shallow learning curve and real-time mapping for field surveys which could be easily deployed. Materials and Methods: The program was developed using PHP hosted on a virtual private server and using Google Maps Application Programming Interface (API). The field investigator shares location through telegram to a bot which parses message, decodes geo-coordinates, team information, and time stamp. The program then passes the information for further processing, viewing, or analyzing. The map is generated using Google Maps API at user request. The teams are segregated using color coding. Results: The data can be accessed at http://test.techlabel.in/. Over 638 households from which samples were taken were plotted by the data from ten teams over ten days. Real-time feedbacks were possible as the study progressed. Households plotted on the maps were verified by the respective field investigators after the study had completed and showed good accuracy. Conclusion: The introduction of GIS software such as ours could bring about a positive impact on small- and medium-scale field researches. The quality and internal validity of small-scale field researches could certainly be improved by using GIS programs.

Context: A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Department of Community Medicine was tasked with SARS-CoV2-IgG antibody serosurvey by Pimpri Chinchwad Municipal Corporation, sampling 5000 people spread over an area of 181 sq. km. There were no real-time mapping apps available for field surveys. Aims: Our aim was to develop an easy-to-use GIS system with a shallow learning curve and real-time mapping for field surveys which could be easily deployed. Materials and Methods: The program was developed using PHP hosted on a virtual private server and using Google Maps Application Programming Interface (API). The field investigator shares location through telegram to a bot which parses message, decodes geo-coordinates, team information, and time stamp. The program then passes the information for further processing, viewing, or analyzing. The map is generated using Google Maps API at user request. The teams are segregated using color coding. Results: The data can be accessed at http://test.techlabel.in/. Over 638 households from which samples were taken were plotted by the data from ten teams over ten days. Real-time feedbacks were possible as the study progressed. Households plotted on the maps were verified by the respective field investigators after the study had completed and showed good accuracy. Conclusion: The introduction of GIS software such as ours could bring about a positive impact on small- and medium-scale field researches. The quality and internal validity of small-scale field researches could certainly be improved by using GIS programs. [ABSTRACT FROM AUTHOR]

BackgroundIn the United States, disparities in gestational age at birth by maternal race, ethnicity, and geography are theorized to be related, in part, to differences in individual- and neighborhood-level socioeconomic status (SES). Yet, few studies have examined their combined effects or whether associations vary by maternal race and ethnicity and United States Census region.MethodsWe assembled data from 34 cohorts in the Environmental influences on Child Health Outcomes (ECHO) program representing 10,304 participants who delivered a liveborn, singleton infant from 2000 through 2019. We investigated the combined associations of maternal education level, neighborhood deprivation index (NDI), and Index of Concentration at the Extremes for racial residential segregation (ICERace) on gestational weeks at birth using linear regression and on gestational age at birth categories (preterm, early term, post-late term relative to full term) using multinomial logistic regression.ResultsAfter adjustment for NDI and ICERace, gestational weeks at birth was significantly lower among those with a high school diploma or less (-0.31 weeks, 95% CI: -0.44, -0.18), and some college (-0.30 weeks, 95% CI: -0.42, -0.18) relative to a master's degree or higher. Those with a high school diploma or less also had an increased odds of preterm (aOR 1.59, 95% CI: 1.20, 2.10) and early term birth (aOR 1.26, 95% CI: 1.05, 1.51). In adjusted models, NDI quartile and ICERace quartile were not associated with gestational weeks at birth. However, higher NDI quartile (most deprived) associated with an increased odds of early term and late term birth, and lower ICERace quartile (least racially privileged) associated with a decreased odds of late or post-term birth. When stratifying by region, gestational weeks at birth was lower among those with a high school education or less and some college only among those living in the Northeast or Midwest. When stratifying by race and ethnicity, gestational weeks at birth was lower among those with a high school education or less only for the non-Hispanic White category.ConclusionIn this study, maternal education was consistently associated with shorter duration of pregnancy and increased odds of preterm birth, including in models adjusted for NDI and ICERace.

Declines and extirpations of American pika (Ochotona princeps) populations at historically occupied sites started being documented in the literature during the early 2000s. Commensurate with global climate change, many of these losses at peripheral and lower elevation sites have been associated with changes in ambient air temperature and precipitation regimes. Here, we report on a decline in available genetic resources for an iconic American pika metapopulation, located at the southwestern edge of the species distribution in the Bodie Hills of eastern California, USA. Composed of highly fragmented habitat created by hard rock mining, the ore dumps at this site were likely colonized by pikas around the end of the 19th century from nearby natural talus outcrops. Genetic data extracted from both contemporary samples and archived natural history collections allowed us to track population and patch-level genetic diversity for Bodie pikas across three distinct sampling points during the last half- century (1948-1949, 1988-1991, 2013-2015). Reductions in within-population allelic diversity and expected heterozygosity were observed across the full time period. More extensive sampling of extant patches during the 1988-1991 and 2013-2015 periods revealed an increase in population structure and a reduction in effective population size. Furthermore, census records from the last 51 years as well as archived museum samples collected in 1947 from a nearby pika population in the Wassuk range (Nevada, USA) provide further support of the increasing isolation and genetic coalescence occurring in this region. This study highlights the importance of museum samples and long-term monitoring in contextualizing our understanding of population viability.

Background Although legislation prohibiting gender identity discrimination in health insurance has shown some improvement in insurance coverage for gender-affirming surgery (GAS), recent bills criminalizing GAS providers in the South and Midwest regions pose threats to patient care. Objectives To investigate the influence of US census region on patient demographics and GAS rates in the ambulatory surgery setting. Methods Individuals with gender dysphoria who underwent GAS in the ambulatory setting from 2016 to 2019 were identified in the Nationwide Ambulatory Surgery Sample (NASS) with billing codes. Demographic and clinical characteristics were analyzed and stratified by US census region. Results The data set included a weighted estimate of 33,174 encounters with 72.8% (95% CI, 69.1-76.2) for chest reconstruction; 24.1% (95% CI, 20.9-27.5) for surgery on the genitals and reproductive organs; and 6.0% (95% CI, 4.6-7.8) for facial surgery. Overall, the rates of GAS increased by 187%, from 4320 encounters in 2016 to 12,396 encounters in 2019. In the Midwest, GAS increased by 257% compared to 203% in the Northeast, 218% in the South, and 154% in the West. Compared to patients in the West, those in other regions had higher odds of anxiety and depression (odds ratio, 1.57; 95% CI, 1.09-2.26; P <.05) and were more likely to have lower incomes than other ambulatory surgery patients in the region (P <.001). Conclusions Between 2016 and 2019, there was substantial growth of GAS in the Midwest, South, and Northeast. Regional differences in insurance coverage, socioeconomic status, availability of facial surgery, and comorbidities were observed. Level of Evidence: 2 [ABSTRACT FROM AUTHOR]

Background Incidence of anal squamous cell carcinoma is increasing, but vaccination against human papillomavirus (HPV) and removal of precancerous anal lesions could prevent new cases. The overall HPV-associated cancer incidence is reported to be higher in rural populations and in counties with lower economic status. We assessed these differences specifically for HPV-associated anal squamous cell carcinoma and described the geographic, county-level economic, and sociodemographic variations in incidence rates and trends. Methods We analyzed data from the US Cancer Statistics to assess age-standardized incidence rates of HPV-associated squamous cell carcinomas among adults aged 18 years and older from 2001 to 2019. We calculated rate ratios and 95% confidence intervals to examine differences in incidence rates. We also quantified changes in incidence rates over time using joinpoint regression. Results From 2001 to 2019, 72 421 new cases of HPV-associated anal squamous cell carcinoma were diagnosed among women (2.8 per 100 000) and 37 147 among men (1.7 per 100 000). Age-standardized incidence rates were higher in the South compared with other census regions and in counties ranked in the bottom 25% and 25%-75% economically than in the top 25%. The overall incidence rate increased in women but remained stable in men during 2009-2019. Incidence rates increased in adults aged 50 years and older but decreased among those aged 40-44 years from 2001 to 2019 in women and from 2007 to 2019 in men. Conclusions There were inequities in HPV-associated anal squamous cell carcinoma incidence by geographic and county-level economic characteristics. Failure to improve vaccine and treatment equity may widen existing disparities. [ABSTRACT FROM AUTHOR]

Background Carbapenem-resistant Enterobacterales (CRE) are an urgent public health threat in the United States. Objective Describe the clinical and molecular epidemiology of CRE in a multicenter pediatric cohort. Methods CRACKLE-1 and CRACKLE-2 are prospective cohort studies with consecutive enrollment of hospitalized patients with CRE infection or colonization between 24 December 2011 and 31 August 2017. Patients younger than age 18 years and enrolled in the CRACKLE studies were included in this analysis. Clinical data were obtained from the electronic health record. Carbapenemase genes were detected using polymerase chain reaction and whole-genome sequencing. Results Fifty-one children were identified at 18 healthcare system study sites representing all U.S. census regions. The median age was 8 months, with 67% younger than age 2 years. Median number of days from admission to culture collection was 11. Seventy-three percent of patients had required intensive care and 41% had a history of mechanical ventilation. More than half of children had no documented comorbidities (Q1, Q3 0, 2). Sixty-seven percent previously received antibiotics during their hospitalization. The most common species isolated were Enterobacter species (41%), Klebsiella pneumoniae (27%), and Escherichia coli (20%). Carbapenemase genes were detected in 29% of isolates tested, which was lower than previously described in adults from this cohort (61%). Thirty-four patients were empirically treated on the date of culture collection, but only 6 received an antibiotic to which the CRE isolate was confirmed susceptible in vitro. Thirty-day mortality was 13.7%. Conclusions CRE infection or colonization in U.S. children was geographically widespread, predominantly affected children younger than age 2 years, associated with significant mortality, and less commonly caused by carbapenemase-producing strains than in adults. [ABSTRACT FROM AUTHOR]

The article is dedicated to the study of the social structure of the population of early Ekaterinburg. The main objective was to investigate individual social groups of the population, as well as the specifics of their formation in a situation of a rapidly growing and developing industrial and administrative center. The research was based on documentary sources of official record-keeping, the most significant of which were the data from local (factory) censuses of residents of the fortress factory in the 1720s — 1740s. Using quantitative analysis methods and social history approaches, the main social groups of the population were identified and characterized. Their numbers were determined, and the history of their formation and employment specifics in the mining industry were analyzed. The conclusions were drawn about the existence of a special social policy by the mining plant administration. It was found that it was aimed not only at maintaining optimal working capacity but also at progressively expanding the group of factory personnel by including representatives of new social groups such as soldiers, recruits, schoolchildren, exiles, and convicts in labor processes. It was shown that by the mid-18th century, Ekaterinburg, founded in 1723, was not inferior to both old and new urban centers in terms of infrastructure development, administrative, industrial, and social institutions, and population composition.

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Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated images remains scarce. We addressed this gap by examining the prevalence of two occupational gender biases (representational and presentational biases) in 15,300 DALL·E 2 images spanning 153 occupations. We assessed potential bias amplification by benchmarking against the 2021 U.S. census data and Google Images. Our findings reveal that DALL·E 2 underrepresents women in male-dominated fields while overrepresenting them in female-dominated occupations. Additionally, DALL·E 2 images tend to depict more women than men with smiles and downward-pitching heads, particularly in female-dominated (versus male-dominated) occupations. Our algorithm auditing study demonstrates more pronounced representational and presentational biases in DALL·E 2 compared to Google Images and calls for feminist interventions to curtail the potential impacts of such biased AI-generated images on the media ecology. [ABSTRACT FROM AUTHOR]

Background: Background: The blended electronic learning system, raised as a new approach in educational planning with great enthusiasm, seeks novel ways to properly combine the media; however, the sequence of in-person and distance educational methods is an issue neglected so far. This study aims to compare the effect of the sequence of blended workshop learning and web-based learning on the learning level of biostatistics in students who were members of the Student Research Committee at Arak University of Medical Sciences. Methods: This is a quasi-experimental study with an alternative treatment design. The statistical population consisted of the students who were members of the Student Research Committee of the university, including 38 medical students and 15 health students, who were selected through census sampling due to their limited number. The data were selected with 2 questionnaires: demographic characteristics and biostatistics multiple-choice questions to assess learning of statistical concepts in three levels of literacy, reasoning, and thinking. The validity and reliability of the translated statistics questions were assessed through content validity and bisection, respectively. The data were analyzed in SPSS-16 through independent and paired t-tests and analysis of variance. Results: The results showed a statistical difference between the groups in both faculties in statistical literacy and reasoning in blended learning (p>0.05). However, regarding statistical thinking, the difference was significant in the health faculty (p=0.044) and insignificant in the medical school (p>0.05). Conclusion: Given the statistical difference observed in the health group, we suggest holding in-person courses at first and online courses then. [ABSTRACT FROM AUTHOR]

Background Prior work assessing disparities in cancer outcomes has relied on regional socioeconomic metrics. These metrics average data across many individuals, resulting in a loss of granularity and confounding with other regional factors. Methods Using patients' addresses at the time of diagnosis from the Ohio Cancer Incidence Surveillance System, we retrieved individual home price estimates from an online real estate marketplace. This individual-level estimate was compared with the Area Deprivation Index (ADI) at the census block group level. Multivariable Cox proportional hazards models were used to determine the relationship between home price estimates and all-cause and cancer-specific mortality. Results A total of 667 277 patients in Ohio Cancer Incidence Surveillance System were linked to individual home prices across 16 cancers. Increasing home prices, adjusted for age, stage at diagnosis, and ADI, were associated with a decrease in the hazard of all-cause and cancer-specific mortality (hazard ratio [HR] = 0.92, 95% confidence interval [CI] = 0.92 to 0.93, and HR = 0.95, 95% CI = 0.94 to 0.95, respectively). Following a cancer diagnosis, individuals with home prices 2 standard deviations above the mean had an estimated 10-year survival probability (7.8%, 95% CI = 7.2% to 8.3%) higher than those with home prices 2 standard deviations below the mean. The association between home price and mortality was substantially more prominent for patients living in less deprived census block groups (P interaction <.001) than for those living in more deprived census block groups. Conclusion Higher individual home prices were associated with improved all-cause and cancer-specific mortality, even after accounting for regional measures of deprivation. [ABSTRACT FROM AUTHOR]

The national census is an essential data source to support decision-making in many areas of public interest. However, this data may become outdated during the intercensal period, which can stretch up to several decades. In this study, we develop a Bayesian hierarchical model leveraging recent household surveys and building footprints to produce up-to-date population estimates. We estimate population totals and age and sex breakdowns with associated uncertainty measures within grid cells of approximately 100 m in five provinces of the Democratic Republic of the Congo, a country where the last census was completed in 1984. The model exhibits a very good fit, with an R2 value of 0.79 for out-of-sample predictions of population totals at the microcensus-cluster level and 1.00 for age and sex proportions at the province level. This work confirms the benefits of combining household surveys and building footprints for high-resolution population estimation in countries with outdated censuses.

Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. It is likely that individual tumors engage common patterns of the immune system-here "archetypes"-creating prototypical non-destructive tumor immune microenvironments (TMEs) and modulating tumor-targeting. To discover the dominant immune system archetypes, the University of California, San Francisco (UCSF) Immunoprofiler Initiative (IPI) processed 364 individual tumors across 12 cancer types using standardized protocols. Computational clustering of flow cytometry and transcriptomic data obtained from cell sub-compartments uncovered dominant patterns of immune composition across cancers. These archetypes were profound insofar as they also differentiated tumors based upon unique immune and tumor gene-expression patterns. They also partitioned well-established classifications of tumor biology. The IPI resource provides a template for understanding cancer immunity as a collection of dominant patterns of immune organization and provides a rational path forward to learn how to modulate these to improve therapy.

This paper introduces a series of high resolution (100-meter) population grids for eight different sociodemographic variables across the state of California using data from the 2020 census. These layers constitute the 'CA-POP' dataset, and were produced using dasymetric mapping methods to downscale census block populations using fine-scale residential tax parcel boundaries and Microsoft's remotely-sensed building footprint layer as ancillary datasets. In comparison to a number of existing gridded population products, CA-POP shows good concordance and offers a number of benefits, including more recent data vintage, higher resolution, more accurate building footprint data, and in some cases more sophisticated but parsimonious and transparent dasymetric mapping methodologies. A general accuracy assessment of the CA-POP dasymetric mapping methodology was conducted by producing a population grid that was constrained by population observations within block groups instead of blocks, enabling a comparison of this grid's population apportionment to block-level census values, yielding a median absolute relative error of approximately 30% for block group-to-block apportionment. However, the final CA-POP grids are constrained by higher-resolution census block-level observations, likely making them even more accurate than these block group-constrained grids over a given region, but for which error assessments of population disaggregation is not possible due to the absence of observational data at the sub-block scale. The CA-POP grids are freely available as GeoTIFF rasters online at github.com/njdepsky/CA-POP, for total population, Hispanic/Latinx population of any race, and non-Hispanic populations for the following groups: American Indian/Alaska Native, Asian, Black/African-American, Native Hawaiian and other Pacific Islander, White, other race or multiracial (two or more races) and residents under 18 years old (i.e. minors).

ObjectiveTo assess provider and practice characteristics that drive opioid prescription behavior using the American Urological Association census data.MethodsStratified weighted analysis using 1,157 census samples was performed to represent 12,660 urologists who practiced in the United States in 2018. We compared urologists according to their opioid prescription patterns to evaluate factors and motivations behind opioid use in the post-operative setting.ResultsOverall, 11,205 (88.5%) urologists prescribe opioids in the post-operative setting. The presence of procedure-specific institutional prescribing guidelines was associated with a greater tendency to prescribe ≤10 pills, and lesser tendency to prescribe 11 to 49 and ≥50 tablets following open abdominal (P = .003), laparoscopic (P < .001), scrotal (P < .001), and endoscopic surgeries (P < .001). The presence of institutional prescribing guidelines was associated with decreasing opioid prescriptions over a three-year period whereas not having guidelines was associated with an unchanged prescription practice over time. Basing current prescriptions on what was given to prior patients was reported by 85% and was more likely to result in an unchanged amount of prescriptions over time (29.2% vs 13.3%, P = .007). Motivations to avoid patient phone calls were reported by 23.8% and were more likely to increase the opioids provided within the next 3 years (3.2% vs 0.1%, P < .001).ConclusionPractitioners who endorsed using institutional guidelines prescribed fewer opioids following all types of surgery and were more likely to decrease their prescription behavior over time. This data supports continued efforts to provide urologists with more evidence-based guidance on best practice opioid prescribing in the future.

Cancer remains a significant public health challenge in Brazil, with an estimated 704 thousand new cases annually. Clinical oncology, a pivotal specialty in cancer diagnosis and treatment, has evolved since its formal establishment in 1946. Recent recognition by the Brazilian Federal Board of Medicine solidified its status, culminating in normative resolution nr. 2,162/2017. The present study aims to characterize Brazilian clinical oncologists and analyze their epidemiological and structural contexts using data from the Brazilian Society of Clinical Oncology's 2023 census and secondary sources, including the National Cancer Institute (Instituto Nacional de Câncer [INCA], in Portuguese) and Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatistica [IBGE], in Portuguese). A cross-sectional design employing qualitative-quantitative methods surveyed 761 clinical oncologists, revealing insights into demographics, workload, stress levels, and challenges. The results highlight regional disparities in cancer mortality rates despite the concentration of oncology services in the South and Southeast. Challenges include access to new treatments, late diagnoses, and systemic underfunding. Moreover, this study underscores gender and racial disparities within the specialty, indicating a predominantly white and heterosexual profile among practitioners. Addressing these issues is crucial for enhancing healthcare equity and improving patients' outcomes in oncology practice.

Many health and health disparities studies require population prevalence information of various race groups, but the estimation of single-race population sizes using the US Census data has been challenging. For each Census race group, Census only provides the counts of those reported being single race ("race alone") and those reported of that specific race regardless of whether the individuals were multiracial or not ("race alone or in (any) combination"). The issue of how to classify Census multiracial individuals is especially important for the state of Hawai'i due to its large multiracial population. The current study developed the Stepwise Proportional Weighting Algorithm (SPWA) for single-race population estimation using US Census data for major race groups in the Census and their nested detailed races. Additionally, given that "partial Native Hawaiian" has often been treated as "Native Hawaiian" in health disparities studies in Hawai'i, the algorithm can also adjust for the unique partial Native Hawaiian race categorization. This paper describes the estimation process with the SPWA and demonstrates its ability to estimate single-races for the 5 most common race groups in Hawai'i. This new methodology addresses an important concern regarding how to classify multiracial individuals to strengthen health and health disparities research in Hawai'i. [ABSTRACT FROM AUTHOR]

Hawai'i is the most ethnically diverse state with the highest proportion of multiracial individuals in the United States. The Stepwise Proportional Weighting Algorithm (SPWA) was developed to bridge the categorization of multiracial Census data into single-race population estimates for common races in Hawai'i. However, these estimates have not been publicly available. A Shiny web application, the Hawai'i Single-Race Categorization Tool, was developed as a user friendly research tool to obtain the age and sex distributions of single-race estimates for common racial groups in Hawai'i. The Categorization Tool implements the SPWA and presents the results in tabular and graphic formats, stratified by sex and age. It also allows the categorization of partial Native Hawaiians as Native Hawaiians in the population estimation. Using this tool, the current paper reports population estimates and distributions for 31 common racial groups using Hawai'i Census 2010 data. Among the major Census races, Asian had the largest population (631 881; 46.5%) in Hawai'i, followed by White (431 635; 31.7%) and Native Hawaiian and Other Pacific Islander (227 588; 16.7%). Among Census detailed races within Asian, Filipino had the largest population estimate (244 730; 18.0%), followed by Japanese (227 165; 16.7%) and Chinese (103 600; 7.6%). Native Hawaiian accounted for 12.3% of the Hawai'i population (166 944). After recategorizing part-Native Hawaiians as Native Hawaiians, Native Hawaiian increased by 150.0%, with the greatest increase among the young. This publicly available tool would be valuable for race-related resource allocation, policy development, and health disparities research in Hawai'i. [ABSTRACT FROM AUTHOR]

This cross-sectional study examines national trends in representativeness in select health care occupations by race/ethnicity and sex.

(1) Background: exposure to heavy metals is associated with adverse health effects and disproportionately impacts low-income communities and communities of color. We carried out a community-based participatory research study to examine the distribution of heavy metal concentrations in the soil and social vulnerabilities to soil heavy metal exposures across Census tracts in Santa Ana, CA. (2) Methods: soil samples (n = 1528) of eight heavy metals including lead (Pb), arsenic (As), manganese (Mn), chromium (Cr), nickel (Ni), copper (Cu), cadmium (Cd), and zinc (Zn) were collected in 2018 across Santa Ana, CA, at a high spatial resolution and analyzed using XRF analysis. Metal concentrations were mapped out and American Community Survey data was utilized to assess metals throughout Census tracts in terms of social and economic variables. Risk assessment was conducted to evaluate carcinogenic and non-carcinogenic risk. (3) Results: concentrations of soil metals varied according to landuse type and socioeconomic factors. Census tracts where the median household income was under $50 000 had 390%, 92.9%, 56.6%, and 54.3% higher Pb, Zn, Cd, and As concentrations compared to high-income counterparts. All Census tracts in Santa Ana showed hazard index >1, implying the potential for non-carcinogenic health effects, and nearly all Census tracts showed a cancer risk above 10-4, implying a greater than acceptable risk. Risk was predominantly driven by childhood exposure. (4) Conclusions: findings inform initiatives related to environmental justice and highlight subpopulations at elevated risk of heavy metal exposure, in turn underscoring the need for community-driven recommendations for policies and other actions to remediate soil contamination and protect the health of residents.

IntroductionRedlining, a racist mortgage appraisal practice of the 1930s, established and exacerbated racial residential segregation boundaries in the United States. Investment risk grades assigned >80y ago through security maps from the Home Owners' Loan Corporation (HOLC) are associated with current sociodemographics and adverse health outcomes. We assessed whether historical HOLC investment grades are associated with 2010 greenspace, a health-promoting neighborhood resource.ObjectivesWe compared 2010 normalized difference vegetation index (NDVI) across previous HOLC neighborhood grades using propensity score restriction and matching.MethodsSecurity map shapefiles were downloaded from the Mapping Inequality Project. Neighborhood investment risk grades included A (best, green), B (blue), C (yellow), and D (hazardous, red, i.e., redlined). We used 2010 satellite imagery to calculate the average NDVI for each HOLC neighborhood. Our main outcomes were 2010 annual average NDVI and summer NDVI. We assigned areal-apportioned 1940 census measures to each HOLC neighborhood. We used propensity score restriction, matching, and targeted maximum likelihood estimation to limit model extrapolation, reduce confounding, and estimate the association between HOLC grade and NDVI for the following comparisons: Grades B vs. A, C vs. B, and D vs. C.ResultsAcross 102 urban areas (4,141 HOLC polygons), annual average ±standard deviation (SD) 2010 NDVI was 0.47 (±0.09), 0.43 (±0.09), 0.39 (±0.09), and 0.36 (±0.10) in Grades A-D, respectively. In analyses adjusted for current ecoregion and census region, 1940s census measures, and 1940s population density, annual average NDVI values in 2010 were estimated at -0.039 (95% CI: -0.045, -0.034), -0.024 (95% CI: -0.030, -0.018), and -0.026 (95% CI: -0.037, -0.015) for Grades B vs. A, C vs. B, and D vs. C, respectively, in the 1930s.DiscussionEstimates adjusted for historical characteristics indicate that neighborhoods assigned worse HOLC grades in the 1930s are associated with reduced present-day greenspace. https://doi.org/10.1289/EHP7495.

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ObjectiveTo assess an aging subspecialty workforce and growing population that portends challenges in meeting patient care needs. We hypothesized that rural physicians are retiring at higher rates than their urban counterparts in the United States and that this represents a bellwether for workforce challenges at large.MethodsWe analyzed data from the 2014-2016 American Urological Association Census, a sample-weighted representative survey of urologists, as a case study for subspecialists. We compared urologists who work in rural regions to nonrural regions on available characteristics.ResultsIn 2016, rural urologists accounted for 2.4% of 12,186 practicing urologists in the United States. General urology remained the focus of 90% of rural urologists, compared to 59% of nonrural urologists (P = .03). Alarmingly, 48% of rural physicians were >65 years old in 2016 compared to 29% in 2014, and 33% of rural urologists were solo practitioners compared to 9% of nonrural urologists (P < .01). The planned retirement age for rural physicians increased from 68 in 2014 to 73 in 2016 (P trend = .02). The percentage of rural practice urologists has remained stable since 2014.ConclusionsRural urologists are older and provide more general urological care than their nonrural counterparts. Rural urologists are postponing retirement. Although this might be due to personal desires and financial goals, it may also be due to a relative absence of potential junior partners. Given that almost 50% of rural urologists were older than 65 in 2016, this is not a sustainable solution to an impending shortage of physicians. Greater innovation in telemedicine or alternative care models will soon be needed.

Chlorpyrifos, an acetylcholinesterase inhibitor (ACI), is one of the most widely used insecticides in the world, and is generally recognized to be a moderate human neurotoxin. This paper reports a distributional environmental justice (dEJ) analysis of chlorpyrifos use in California's Central Valley, examining the way distributions of environmental risks are associated with race, ethnicity, class, gender, and other systems of structural oppression. Spatial data on chlorpyrifos use were retrieved from California's Department of Pesticide Registration public pesticide use records for 2011-2015. These data were combined with demographic data for the Central Valley from the American Community Survey (ACS). Spatial regression models were used to estimate effects of demographic covariates on local chlorpyrifos use. A novel bootstrap method was used to account for measurement error in the ACS estimates. This study finds consistent evidence that Hispanic population proportion is associated with increased local chlorpyrifos use. A 10-point increase in Hispanic proportion is associated with an estimated 1.05-1.4-fold increase in local chlorpyrifos use across Census tract models. By contrast, effects of agricultural employment and poverty on local chlorpyrifos use are ambiguous and inconsistent between Census tracts and Census-designated places.

Despite an overall downward trend in child sex ratios in India, some of the most imbalanced districts in 2001 (fewer girls than boys) showed signs of becoming more balanced in 2011. This analysis looked in depth at these districts to better understand the nature of the improvement in the child sex ratio using two rounds of data from the Census of India from 2001 and 2011. Data were used from the 153 districts that showed improvement in their child sex ratio between 2001 and 2011. The improvement was decomposed into: (1) less sex-selective abortion and (2) improved girl compared with boy mortality. Most of the improvement in child sex ratios were shown to be due to reductions in sex-selective abortion, although this still made up the majority of the cause of imbalanced sex ratios in 2011. Child sex ratio improvement has been happening in both rural and urban areas of India, and there is evidence of stagnation in mortality decline for urban girls.

By examining the census records of Swedish-Caribbean colony St. Barthélemy, a GIS – Geographic Information System – can be constructed which maps the inhabitants of the harbor city of Gustavia, as well as the inhabitants' placement within the census categories of the colonial administration. This article examines these categories and how they shifted over time, as well as maps out patterns of settlement across the city. One major finding is the division between the Catholic French-Caribbean side on the east and the Anglican Anglo- and Dutch-Caribbean side of the west, the latter of which was home to a number of merchants owning high amounts of enslaved people. This spatial division was also parallel to the political differences between the merchant elite and the Swedish colonial administration. Furthermore, this article encourages additional GIS studies of predemocratic Caribbean cities, particularly regarding spatial division between whites and free people of color. [ABSTRACT FROM AUTHOR]

The Geneva databases are a data resource covering the period 1800–1880 for the city of Geneva, and occasionally the canton of Geneva. The research team adopted an alphabetical sampling approach, collecting data on individuals whose surname begins with the letter B. The individuals and households belonging to this sample in six population censuses between 1816 and 1843 were digitised and linked. A second database collected marriage and divorce records for the period 1800–1880. A third collection of data included residence permits. All these sources were used for a massive reconstitution of families. This article presents the sources, the linking methods, the typologies used to code places and occupations, to study household structures and forms of solitude. Combined with qualitative information extracted from the archives of public administrations and the National Protestant Church, as well as from newspapers, these databases were used to study the transformation of a medium-sized European city, sociopolitical tensions embedded in demographic and social structures, and the impact of the immigrants who made the 'Calvinist Rome' a religiously mixed city.

Norwegian work on microdata started out with the full count 1801 census and census and vital records from around the capital. Today, most census and ministerial records from 1801 until the mid-20th century have been scanned, transcriptions are being completed, much is encoded and made available via the websites of the Digital National Archives and UiT The Arctic University of Norway. This article complements a previous publication on empirical results from historical microdata. It is primarily organized by technical issues: digitization of source materials, encoding and standardization, building of the Historical Population Register for the period since 1800, record linkage and source criticism as well as GIS. Presently, partner institutions are building the Historical Population Register with prolonged support from the Norwegian Research Council. This will contain longitudinal records of the nine million persons who lived in Norway since 1800. The register increasingly makes it possible to follow the entire population. Unique personal IDs with corresponding URLs to the person page providing links to many sources introduce a new level of historical documentation. Cross-sectional and vital records are being interlinked with automatic and manual record linkage software. Longitudinal data is available for searching as timelines and in Intermediate Data Structure format from UiT The Arctic University and for searching at Histreg.no, which also caters for manual editing. We are well on the way to creating a database that can fill the void in the two centuries before the Central Population Register starts in 1964.

Adolescents in the United States live amid high levels of concentrated poverty and increasing income inequality. Poverty is robustly linked to adolescents' mental health problems; however, less is known about how perceptions of their social status and exposure to local area income inequality relate to mental health. Participants consisted of a population-representative sample of over 2,100 adolescents (ages 10-16), 395 of whom completed a 14-day ecological momentary assessment (EMA) study. Participants' subjective social status (SSS) was assessed at the start of the EMA, and mental health symptoms were measured both at baseline for the entire sample and daily in the EMA sample. Adolescents' SSS tracked family, school, and neighborhood economic indicators (|r| ranging from .12 to .30), and associations did not differ by age, race, or gender. SSS was independently associated with mental health, with stronger associations among older (ages 14-16) versus younger (ages 10-13) adolescents. Adolescents with lower SSS reported higher psychological distress and inattention problems, as well as more conduct problems, in daily life. Those living in areas with higher income inequality reported significantly lower subjective social status, but this association was explained by family and neighborhood income. Findings illustrate that adolescents' SSS is correlated with both internalizing and externalizing mental health problems, and that by age 14 it becomes a unique predictor of mental health problems. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

ContextResearch on predictors of clinical outcomes usually focuses on the impact of individual patient factors, despite known relationships between neighborhood environment and health.ObjectiveTo determine whether US census information on where a patient resides is associated with diabetes development among patients with prediabetes.DesignRetrospective cohort study of all 157,752 patients aged 18 years or older from Kaiser Permanente Northern California with laboratory-defined prediabetes (fasting plasma glucose, 100 mg/dL-125 mg/dL, and/or glycated hemoglobin, 5.7%-6.4%). We assessed whether census data on education, income, and percentage of households receiving benefits through the US Department of Agriculture's Supplemental Nutrition Assistance Program (SNAP) was associated with diabetes development using logistic regression controlling for age, sex, race/ethnicity, blood glucose levels, and body mass index.Main outcome measureProgression to diabetes within 36 months.ResultsPatients were more likely to progress to diabetes if they lived in an area where less than 16% of adults had obtained a bachelor's degree or higher (odds ratio [OR] =1.22, 95% confidence interval [CI] = 1.09-1.36), where median annual income was below $79,999 (OR = 1.16 95% CI = 1.03-1.31), or where SNAP benefits were received by 10% or more of households (OR = 1.24, 95% CI = 1.1-1.4).ConclusionArea-level socioeconomic and food assistance data predict the development of diabetes, even after adjusting for traditional individual demographic and clinical factors. Clinical interventions should take these factors into account, and health care systems should consider addressing social needs and community resources as a path to improving health outcomes.

PurposeNeighborhood segregation related to cultural factors, such as language use, may influence elderly Latino depression. We examined the association between neighborhood-level Spanish language segregation and individual depressive symptoms among elderly Latinos.MethodsWe linked U.S. Census language use data with geocoded population-based data from 1789 elderly Latinos (mean age = 70.6 years) participating in the Sacramento Area Latino Study on Aging (1998-2008). Neighborhood language segregation was measured with the Index of Concentration at the Extremes, which demonstrates the extent to which residents are concentrated at extremes of deprivation and privilege. We fit two-level generalized linear-mixed models with random intercepts for census tracts to quantify the association between neighborhood-level language segregation and depressive symptoms, adjusting for identified confounders.ResultsAfter adjusting for age, sex, and nativity, residents of highly segregated Spanish-speaking neighborhoods had more depressive symptoms than those in highly segregated English-only-speaking neighborhoods (β = -4.410; 95% confidence interval [CI] = -6.851 to -1.970). This association was largely attenuated upon adjustment for individual-level education (β = -2.119; 95% CI = -4.650 to 0.413).ConclusionsLinguistically segregated communities may benefit from targeted outreach given the high depression prevalence in these neighborhoods. Furthermore, our findings suggest that limited access to fundamental social protections, such as education, may drive the segregation-depression association among U.S. Latinos.

The Geneva databases are a data resource covering the period 1800-1880 for the city of Geneva, and occasionally the canton of Geneva. The research team adopted an alphabetical sampling approach, collecting data on individuals whose surname begins with the letter B. The individuals and households belonging to this sample in six population censuses between 1816 and 1843 were digitised and linked. A second database collected marriage and divorce records for the period 1800-1880. A third collection of data included residence permits. All these sources were used for a massive reconstitution of families. This article presents the sources, the linking methods, the typologies used to code places and occupations, to study household structures and forms of solitude. Combined with qualitative information extracted from the archives of public administrations and the National Protestant Church, as well as from newspapers, these databases were used to study the transformation of a medium-sized European city, sociopolitical tensions embedded in demographic and social structures, and the impact of the immigrants who made the 'Calvinist Rome' a religiously mixed city. [ABSTRACT FROM AUTHOR]

Norwegian work on microdata started out with the full count 1801 census and census and vital records from around the capital. Today, most census and ministerial records from 1801 until the mid-20th century have been scanned, transcriptions are being completed, much is encoded and made available via the websites of the Digital National Archives and UiT The Arctic University of Norway. This article complements a previous publication on empirical results from historical microdata. It is primarily organized by technical issues: digitization of source materials, encoding and standardization, building of the Historical Population Register for the period since 1800, record linkage and source criticism as well as GIS. Presently, partner institutions are building the Historical Population Register with prolonged support from the Norwegian Research Council. This will contain longitudinal records of the nine million persons who lived in Norway since 1800. The register increasingly makes it possible to follow the entire population. Unique personal IDs with corresponding URLs to the person page providing links to many sources introduce a new level of historical documentation. Cross-sectional and vital records are being interlinked with automatic and manual record linkage software. Longitudinal data is available for searching as timelines and in Intermediate Data Structure format from UiT The Arctic University and for searching at Histreg.no, which also caters for manual editing. We are well on the way to creating a database that can fill the void in the two centuries before the Central Population Register starts in 1964. [ABSTRACT FROM AUTHOR]

Since 1966, the Programme de recherche en démographie historique (PRDH) has worked to create comprehensive genealogical data of the Quebec population. The PRDH longitudinal database, the Registre de la population du Québec ancien (RPQA), draws upon the French Catholic parish registers of the St. Lawrence Valley as its main source material. This family reconstitution covers the French Catholic population of Quebec up to 1799, along with deaths after 1800 of persons born before 1750. Subsequent partnerships with l'Institut Généalogique Drouin, FamilySearch and Ancestry as well as collaboration on the 2011-2017 Infrastructure intégrée des Microdonnées historiques de la Population du Québec (1621-1965) (IMPQ) project enabled the PRDH to continue efforts to reconstitute the French Catholic population up to 1849. Despite these advances, pushing family reconstitution forward to the mid-19 century has forced the PRDH team to reckon with the increasingly mixed and geographically mobile Quebec population of the 19th and early 20th centuries. This article describes the content and design of the RPQA database, detailing the structure of the RPQA relational database and the breadth of variables available for data management and analysis. It then describes features of the IMPQ extension of family reconstitution from 1800 to 1849, including observational protocols necessary to use these data and consideration of data completeness after 1800. At the same time, the article addresses the fundamental question, "What is my population?" as part of a broader reflection upon the target population encompassed by these data. [ABSTRACT FROM AUTHOR]

Objective: To assess a new approach (weighting by "income probabilities [IP]") that uses US Census data from the patients' communities to approximate individual-level income, an important but often missing variable in health services research.Data Sources: Community (census tract level) income data came from the 2017 5-year American Community Survey (ACS). The patient data included those diagnosed with cancer in 2017 in Ohio (n = 65,759). The reference population was the 2017 5-year ACS Public Use Microdata Sample (n = 564,357 generalizing to 11,288,350 Ohioans).Study Design/methods: We applied the traditional approach of income approximation using median census tract income along with two IP based approaches to estimate the proportions in the patient data with incomes of 0%-149%, 150%-299%, 300%-499%, and 500%+ of the federal poverty level (FPL) ("class-relevant income grouping") or 0%-138%, 139%-249%, 250%-399%, and 400%+ FPL ("policy-relevant income grouping"). These estimated income distributions were then compared with the known income distributions of the reference population.Data Collection/extraction Methods: The patient data came from Ohio's cancer registry. The other data were publicly available.Principal Findings: Both IP based approaches consistently outperformed the traditional approach overall and in subgroup analyses, as measured by the weighted average absolute percentage point differences between the proportions of each of the income categories of the reference population and the estimated proportions generated by the income approximation approaches ("average percent difference," or APD). The smallest APD for an IP based method, 0.5%, was seen in non-Hispanic White females in the class-relevant income grouping (compared with 16.5% for the conventional method), while the largest APD, 7.1%, was seen in non-Hispanic Black females in the policy-relevant income grouping (compared with 18.0% for the conventional method).Conclusions: Weighting by IP substantially outperformed the conventional approach of estimating the distribution of incomes in patient data. [ABSTRACT FROM AUTHOR]

This article presents the population censuses held at the Historical Archives Ljubljana, Unit in Idrija, intending to inform potential genealogical researchers or historians engaged in demographic studies with primary sources. A brief tradition of censusing the population in Slovenia is presented, ranging from the historical census or house-to-house data collection from 1857 to the last census in 2021, which was again taken by using registers, i.e. by obtaining data from various records. The article also informs on the administrative divisions of the discussed Idrija-Cerklje region during the censuses. Using the example of the administrative fonds of the Municipality of Idrija, it shows the clear characteristics of all preserved censuses and draws attention to the finding aids and difficulties in researching these primary sources. [ABSTRACT FROM AUTHOR]

During the industrialization period of the city of Lodz, one of the most important industrial centres in the Kingdom of Poland (the former Russian Partition), experienced a dynamic population growth caused by migratory movement from rural areas to the city. The population registry cards for inhabitants of Lodz contained information on dates of birth (sometimes on dates of death), place of birth, religious denomination, nationality, and address of residence in the city, as well as the number of children born in a family. The aim of this paper is to present population registry cards of permanent and non-permanent residents of the city of Lodz deposited in the State Archives in Lodz, as a source for research on urban society during the period of industrialization. In this work, the use, quality, and reliability of population registry cards, as well as their research limitations for studies are discussed. [ABSTRACT FROM AUTHOR]

Small area estimation is an important tool to produce estimates of poverty for regions with low or zero sample sizes. Estimates are typically obtained by combining a consumption survey reporting on poverty and a census providing the spatial disaggregation. This paper discusses an updating method that produces up‐to‐date small area estimates when only a dated census and a more recent survey are available and predictors are subject to drift over time, a situation commonly encountered in practice. Instead of using survey variables to explain consumption in the survey, the updating approach uses only variables constructed from the census. The proposed estimator has fewer data requirements and weaker assumptions than common small area estimators. Applications to simulated data and to poverty estimation in Brazil show an overall good performance, but also imply the importance of examining practical challenges in real‐world applications. [ABSTRACT FROM AUTHOR]

Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers. Methods: The present study was conducted using the quantitative secondary data analysis method. Using the census microdata of population and housing in 2016, the researchers attempted to investigate the level and predictors of childlessness among married women aged 40–49. The data of 85799 married women aged 40–49 was analyzed. Results: About 4% of the sample were childless. Logistic regression analysis indicated that the probability of childlessness for married women with university degrees, immigrant women, and employed women is higher than their counterparts. Furthermore, the findings suggested that women who live in apartments and those who live in private houses are less likely childless than their counterparts. Bigger houses lower the probability of being childless. Conclusion: Government planning and policymaking to reducethe proportion of childlessness should improve household circumstances, especially their housing.

ObjectiveTo further explore the issue of work parity between male and female urologists in the context of demographics, practice characteristics, subspecialty affiliation, and planned retirement.Materials and methodsWe analyzed data from the 2014 American Urological Association census, which is a specialty wide survey distributed to the entire urology community in the United States. A total of 2204 census samples were weighted to represent 11,703 urologists who practiced in the United States in 2014. We compared clinical and nonclinical hours worked by gender after adjusting for age, practice setting, fellowship type, and whether or not the urologist performed inpatient operations.ResultsOf the 11,703 practicing urologists in the United States, female urologists make up approximately 7.7% of the workforce (n ~ 897). Female practicing urologists were younger (66.4%,

IntroductionIndustry and occupation (I&O) information collected by cancer registries is useful for assessing associations among jobs and malignancies. However, systematic differences in I&O availability can bias findings.MethodsCodability by patient demographics, payor, identifying (casefinding) source, and cancer site was assessed using I&O text from first primaries diagnosed 2011-2012 and reported to California Cancer Registry. I&O were coded to a U.S. Census code or classified as blank/inadequate/unknown, retired, or not working for pay.ResultsIndustry was codable for 37% of cases; 50% had "unknown" and 9% "retired" instead of usual industry. Cases initially reported by hospitals, covered by preferred providers, or with known occupational etiology had highest codable industry; cases from private pathology laboratories, with Medicaid, or diagnosed in outpatient settings had least. Occupation results were similar.ConclusionsRecording usual I&O for retirees and improving linkages for reporting entities without patient access would improve I&O codability and research validity.

Growing evidence reveals various neighborhood conditions are associated with the risk of developing type 2 diabetes. It is unknown, however, whether the effectiveness of diabetes prevention interventions is also influenced by neighborhood characteristics. The purpose of the current study is to examine the impact of neighborhood characteristics on the outcomes of a lifestyle intervention to prevent diabetes in American Indians and Alaska Natives (AI/ANs). Year 2000 US Census Tract data were linked with those from the Special Diabetes Program for Indians Diabetes Prevention Program (SDPI-DP), an evidence-based lifestyle intervention implemented in 36 AI/AN grantee sites across the US. A total of 3394 participants started the intervention between 01/01/2006 and 07/31/2009 and were followed by 07/31/2016. In 2016-2017, data analyses were conducted to evaluate the relationships of neighborhood characteristics with intervention outcomes, controlling for individual level socioeconomic status. AI/ANs from sites located in neighborhoods with higher median household income had 38% lower risk of developing diabetes than those from sites with lower neighborhood income (adjusted hazard ratio = 0.65, 95% CI: 0.47-0.90). Further, those from sites with higher neighborhood concentrations of AI/ANs achieved less BMI reduction and physical activity increase. Meanwhile, participants from sites with higher neighborhood level of vehicle occupancy made more improvement in BMI and diet. Lifestyle intervention effectiveness was not optimal when the intervention was implemented at sites with disadvantaged neighborhood characteristics. Meaningful improvements in socioeconomic and other neighborhood disadvantages of vulnerable populations could be important in stemming the global epidemic of diabetes.