Mass Probation: Effects of Sentencing Severity on Mental Health for Black and White Individuals.

BACKGROUND: Incarceration is associated with negative impacts on mental health. Probation, a form of community supervision, has been lauded as an alternative. However, the effect of probation versus incarceration on mental health is unclear. Our objective was to estimate the impact on mental health of reducing sentencing severity at individuals' first adult criminal-legal encounter. METHODS: We used the US National Longitudinal Survey on Youth 1997, a nationally representative dataset of youth followed into their mid-thirties. Restricting to those with an adult encounter (arrest, charge alone or no sentence, probation, incarceration), we used parametric g-computation to estimate the difference in mental health at age 30 (Mental Health Inventory-5) if (1) everyone who received incarceration for their first encounter had received probation and (2) everyone who received probation had received no sentence. RESULTS: Among 1835 individuals with adult encounters, 19% were non-Hispanic Black and 65% were non-Hispanic White. Median age at first encounter was 20. Under hypothetical interventions to reduce sentencing, we did not see better mental health overall (Intervention 1, incarceration to probation: RD = -0.01; CI = -0.02, 0.01; Intervention 2, probation to no sentence: RD = 0.00; CI = -0.01, 0.01) or when stratified by race. CONCLUSION: Among those with criminal-legal encounters, hypothetical interventions to reduce sentencing, including incremental sentencing reductions, were not associated with improved mental health. Future work should consider the effects of preventing individuals' first criminal-legal encounter.

A comparison of analytic approaches for investigating the obesity paradox in kidney cancer.

PURPOSE: Body mass index (BMI) and kidney cancer mortality are inconsistently associated in the scientific literature. To understand how study design affects results, we contrasted associations between pre-diagnosis BMI and mortality under different analytic scenarios in a large, population-based prospective cohort study. METHODS: Using data from the NIH-AARP Diet and Health Study (1995-2011), we constructed two cohorts: a "full at-risk" cohort with no kidney cancer history at baseline (n = 252,845) and an "incident cancer" subset who developed kidney cancer during follow-up (n = 1,652). Cox Proportional Hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) between pre-diagnosis BMI and mortality for different outcomes (all-cause and cancer-specific mortality), in the different cohorts (full at-risk vs. incident cancer cohort), and with different covariates (minimally vs. fully adjusted). For the incident cancer cohort, we also examined time to mortality using different timescales: from enrollment or diagnosis. RESULTS: In the full at-risk study population, higher pre-diagnosis BMI was associated with greater cancer-specific mortality in fully adjusted multivariable models, particularly for obese participants [HR, (95% CI): 1.76, (1.38-2.25)]. This association was less pronounced in the incident cancer cohort [1.50, (1.09-2.07)]. BMI was not strongly associated with all-cause mortality in either cohort in fully adjusted models [full cohort: 1.03, (1.01, 1.06); incident cancer cohort: 1.20, (0.97, 1.48)]. CONCLUSIONS: Populations characterized by high adult BMI will likely experience greater population burdens of mortality from kidney cancer, partially because of higher rates of kidney cancer diagnosis. Questions regarding overall mortality burden and post-diagnosis cancer survivorship are distinct and require different study designs.

The Carolina hysterectomy cohort (CHC): a novel case series of reproductive-aged hysterectomy patients across 10 hospitals in the US south.

BACKGROUND: Hysterectomy is a common surgery among reproductive-aged U.S. patients, with rates highest among Black patients in the South. There is limited insight on causes of these racial differences. In the U.S., electronic medical records (EMR) data can offer richer detail on factors driving surgical decision-making among reproductive-aged populations than insurance claims-based data. Our objective in this cohort profile paper is to describe the Carolina Hysterectomy Cohort (CHC), a large EMR-based case-series of premenopausal hysterectomy patients in the U.S. South, supplemented with census and surgeon licensing data. To demonstrate one strength of the data, we evaluate whether patient and surgeon characteristics differ by insurance payor type. METHODS: We used structured and abstracted EMR data to identify and characterize patients aged 18-44 years who received hysterectomies for non-cancerous conditions between 10/02/2014-12/31/2017 in a large health care system comprised of 10 hospitals in North Carolina. We used Chi-squared and Kruskal Wallis tests to compare whether patients' socio-demographic and relevant clinical characteristics, and surgeon characteristics differed by patient insurance payor (public, private, uninsured). RESULTS: Of 1857 patients (including 55% non-Hispanic White, 30% non-Hispanic Black, 9% Hispanic), 75% were privately-insured, 17% were publicly-insured, and 7% were uninsured. Menorrhagia was more prevalent among the publicly-insured (74% vs 68% overall). Fibroids were more prevalent among the privately-insured (62%) and the uninsured (68%). Most privately insured patients were treated at non-academic hospitals (65%) whereas most publicly insured and uninsured patients were treated at academic centers (66 and 86%, respectively). Publicly insured and uninsured patients had higher median bleeding (public: 7.0, uninsured: 9.0, private: 5.0) and pain (public: 6.0, uninsured: 6.0, private: 3.0) symptom scores than the privately insured. There were no statistical differences in surgeon characteristics by payor groups. CONCLUSION: This novel study design, a large EMR-based case series of hysterectomies linked to physician licensing data and manually abstracted data from unstructured clinical notes, enabled identification and characterization of a diverse reproductive-aged patient population more comprehensively than claims data would allow. In subsequent phases of this research, the CHC will leverage these rich clinical data to investigate multilevel drivers of hysterectomy in an ethnoracially, economically, and clinically diverse series of hysterectomy patients.

Disparities in job characteristics by race and sex in a Southern aluminum smelting facility.

BACKGROUND: Former workers at a Southern aluminum smelting facility raised concerns that the most hazardous jobs were assigned to Black workers, but the role of workplace segregation had not been quantified or examined in the company town. Prior studies discuss race and gender disparities in working conditions, but few have documented them in the aluminum industry. METHODS: We obtained workers' company records for 1985-2007 and characterized four job metrics: prestige (sociologic rankings), worker-defined danger (worker assessments), annual wage (1985 dollars), and estimated total particulate matter (TPM) exposure (job exposure matrix). Characteristics of job at hire and trajectories were compared by race and sex using linear binomial models. RESULTS: Non-White males had the highest percentage of workers in low prestige and high danger jobs at hire and up to 20 years after. After 20 years tenure, 100% of White workers were in higher prestige and lower danger jobs. Most female workers, regardless of race, entered and remained in low-wage jobs, while 50% of all male workers maintained their initial higher-wage jobs. Non-White females had the highest prevalence of workers in low-wage jobs at hire and after 20 years-increasing from 63% (95% CI: 59-67) to 100% (95% CI: 78-100). All female workers were less likely to be in high TPM exposure jobs. Non-White males were most likely to be hired into high TPM exposure jobs, and this exposure prevalence increased as time accrued, while staying constant for other race-sex groups. CONCLUSIONS: There is evidence of job segregation by race and sex in this cohort of aluminum smelting workers. Documentation of disparities in occupational hazards is important for informing health interventions and research.

Trends in surgical treatment of early-stage breast cancer reveal decreasing mastectomy use between 2003 and 2016 by age, race, and rurality.

PURPOSE: To examine trends in the surgical treatment of breast cancer by age, rurality, and among Black women in a populous, racially diverse, state in the Southeastern United States of America. METHODS: We identified women diagnosed with localized or regional breast cancer between 2003 and 2016 in the North Carolina Central Cancer Registry (n = 86,776). Using Joinpoint regression we evaluated the average annual percentage change in proportion of women treated with mastectomy versus breast-conserving surgery overall, by age group, among Black women, and for women residing in rural areas. RESULTS: Overall, the rate of mastectomy usage in the population declined 2.5% per year between 2003 and 2016 (95% CI - 3.2, - 1.7). Over this same time interval, breast-conserving surgery increased by 1.6% per year (95% CI 0.9, 2.2). These temporal trends in surgery were also observed among Black women and rural residing women. Trends in surgery type varied by age group: mastectomy declined over time among women > 50 years, but not among women aged 18-49 at diagnosis. DISCUSSION: In contrast to national studies that reported increasing use of mastectomy, we found declining mastectomy rates in the early 2000s in a Southern US state with a racially and geographically diverse population. These decreasing trends were consistent among key subgroups affected by cancer inequities, including Black and White rural women.

Validity of breast cancer surgery treatment information in a state-based cancer registry.

PURPOSE: Surgery is an important part of early stage breast cancer treatment that affects overall survival. Many studies of surgical treatment of breast cancer rely on data sources that condition on continuous insurance coverage or treatment at specified facilities and thus under-sample populations especially affected by cancer care inequities including the uninsured and rural populations. Statewide cancer registries contain data on first course of cancer treatment for all patients diagnosed with cancer but the accuracy of these data are uncertain. METHODS: Patients diagnosed with stage I-III breast cancer between 2003 and 2016 were identified using the North Carolina Central Cancer Registry and linked to Medicaid, Medicare, and private insurance claims. We calculated the sensitivity, specificity, positive predictive value, negative predictive value, and Kappa statistics for receipt of surgery and type of surgery (breast conserving surgery or mastectomy) using the insurance claims as the presumed gold standard. Analyses were stratified by race, insurance type, and rurality. RESULTS: Of 26,819 patients who met eligibility criteria, 23,125 were identified as having surgery in both the claims and registry for a sensitivity of 97.9% (95% CI 97.8%, 98.1%). There was also strong agreement for surgery type between the cancer registry and the insurance claims (Kappa: 0.91). Registry treatment data validity was lower for Medicaid insured patients than for Medicare and commercially insured patients. CONCLUSIONS: Cancer registry treatment data reliably identified receipt and type of breast cancer surgery. Cancer registries are an important source of data for understanding cancer care in underrepresented populations.

Development of an algorithm to assess unmeasured symptom severity in gynecologic care.

BACKGROUND: Healthcare disparities research is often limited by incomplete accounting for differences in health status by populations. In the United States, hysterectomy shows marked variation by race and geography, but it is difficult to understand what factors cause these variations without accounting for differences in the severity of gynecologic symptoms that drive the decision-making for hysterectomy. OBJECTIVE: This study aimed to demonstrate a method for using electronic health record-derived data to create composite symptom severity indices to more fully capture relevant markers that influence the decision for hysterectomy. STUDY DESIGN: This was a retrospective cohort study of 1993 women who underwent hysterectomy between April 4, 2014, and December 31, 2017, from 10 hospitals and >100 outpatient clinics in North Carolina. Electronic health record data, including billing, pharmacy, laboratory data, and free-text notes, were used to identify markers of 3 common indications for hysterectomy: bulk symptoms (pressure from uterine enlargement), vaginal bleeding, and pelvic pain. To develop weighted symptom indices, we finalized a scoring algorithm based on the relationship of each marker to an objective measure, in combination with clinical expertise, with the goal of composite symptom severity indices that had sufficient variation to be useful in comparing different patient groups and allow discrimination among severe symptoms of bulk, bleeding, or pain. RESULTS: The ranges of symptom severity scores varied across the 3 indices, including composite bulk score (0-14), vaginal bleeding score (0-44), and pain score (0-30). The mean values of each composite symptom severity index were greater for those who had diagnostic codes for vaginal bleeding, bulk symptoms, or pelvic pain, respectively. However, each index demonstrated a variation across the entire group of hysterectomy cases and identified symptoms that ranged in severity among those with and without the target diagnostic codes. CONCLUSION: Leveraging multisource data to create composite symptom severity indices provided greater discriminatory power to assess common gynecologic indications for hysterectomy. These methods can improve the understanding in healthcare use in the setting of long-standing inequities and be applied across populations to account for previously unexplained variations across race, geography, and other social indicators.

Teaching yourself about structural racism will improve your machine learning.

In this commentary, we put forth the following argument: Anyone conducting machine learning in a health-related domain should educate themselves about structural racism. We argue that structural racism is a critical body of knowledge needed for generalizability in almost all domains of health research.

Changing trends in Black-White racial differences in surgical menopause: a population-based study.

BACKGROUND: Bilateral oophorectomy before menopause, or surgical menopause, is associated with negative health outcomes, including an increased risk for stroke and other cardiovascular outcomes; however, surgical menopause also dramatically reduces ovarian cancer incidence and mortality rates. Because there are competing positive and negative sequelae associated with surgical menopause, clinical guidelines have not been definitive. Previous research indicates that White women have higher rates of surgical menopause than other racial groups. However, previous studies may have underestimated the rates of surgical menopause among Black women. Furthermore, clinical practice has changed dramatically in the past 15 years, and there are no population-based studies in which more recent data were used. Tracking actual racial differences among women with surgical menopause is important for ensuring equity in gynecologic care. OBJECTIVE: This population-based surveillance study evaluated racial differences in the rates of surgical menopause in all inpatient and outpatient settings in a large, racially diverse US state with historically high rates of hysterectomy. STUDY DESIGN: We evaluated all inpatient and outpatient surgeries in North Carolina from 2011 to 2014 for patients aged between 20 and 44 years. Surgical menopause was defined as a bilateral oophorectomy, with or without an accompanying hysterectomy, among North Carolina residents. International Classification of Diseases, Ninth Revision, and Current Procedural Terminology codes were used to identify inpatient and outpatient procedures, respectively, and diagnostic indications. We estimated age-, race-, and ethnicity-specific rates of surgical menopause using county-specific population estimates based on the 2010 United States census. We used Poisson regression with deviance-adjusted residuals to estimate the incidence rate ratios in the entire state population. We tested changes in surgery rates over time (reference year, 2011), differences by setting (reference, inpatient), and differences by race and ethnicity (reference, non-Hispanic White). We then described the surgery rates between non-Hispanic White and non-Hispanic Black patients. RESULTS: Between 2011 and 2014, 11,502 surgical menopause procedures for benign indications were performed in North Carolina among reproductive-aged residents. Most (95%) of these surgeries occurred concomitant with a hysterectomy. Over the 4-year study period, there was a 39% reduction in inpatient surgeries (incidence rate ratio, 0.61) and a 100% increase in outpatient surgeries (incidence rate ratio, 2.0). Restricting the analysis to surgeries among non-Hispanic White and Black patients, the increase in outpatient surgeries was significantly higher among non-Hispanic Black women (P<.01) for year-race interaction (reference, 2011 and non-Hispanic White). The overall rates of bilateral oophorectomy for non-Hispanic Black women rose more quickly than for non-Hispanic White women (P<.01). In 2011, the rate of surgical menopause was greater among White women than among Black women (17.7 vs 13.2 per 10,000 women). By 2014, the racial trends were reversed (rate, 24.8 per 10,000 for non-Hispanic White women and 28.4 per 10,000 for non-Hispanic Black women). CONCLUSION: Our findings suggest that the rates of surgical menopause increased in North Carolina in the early 2010s, especially among non-Hispanic Black women. By 2014, the rates of surgical menopause among non-Hispanic Black women had surpassed that of non-Hispanic White women. Given the long-term health consequences associated with surgical menopause, we propose potential drivers for the racially-patterned increases in the application of bilateral oophorectomy before the age of 45 years.

Mexican households' food shopping patterns in 2015: analysis following nonessential food and sugary beverage taxes.

OBJECTIVE: To examine patterns of taxed and untaxed food and beverage shopping across store types after Mexico's sugary drink and non-essential food taxes, the nutritional quality of these patterns and the socio-economic characteristics associated with them. DESIGN: We performed k-means cluster analyses using households' percentage of food and beverage purchases from each store type (i.e. convenience stores, traditional shops (e.g. bodegas, tiendas, mom-and-pop shops), supermarkets, wholesalers and others). We calculated adjusted mean proportions of taxed and untaxed products (ml or g/capita per d) purchased in each pattern. We studied the associations between households' SES and shopping patterns using multinomial logistic regressions. Within shopping patterns, we obtained mean volumes and proportions of taxed and untaxed food and beverage subgroups and calculated the proportion of products purchased at each store type. SETTING: Mexico. PARTICIPANTS: Urban Mexican households (n 5493) from the Nielsen Mexico Consumer Panel Survey 2015. RESULTS: We found four beverage shopping patterns and three food shopping patterns, driven by the store type where most purchases were made. For beverages, 48 % of households were clustered in the Traditional pattern and purchased the highest proportion of taxed beverages. Low-SES households had the highest probability of clustering in the Traditional beverage shopping pattern. For foods, 35 % of households were clustered into the Supermarket pattern. High-SES households had the highest probability of clustering in the Supermarket food shopping pattern. CONCLUSIONS: The combination of store types where Mexican households purchase packaged foods and beverages varies. However, households in all shopping patterns and SES purchase taxed beverages mainly at traditional stores. Store-level strategies should be developed to intervene on traditional stores to improve the healthfulness of purchases.

Inquiry into women's pathways to diagnosis of endometriosis: A qualitative study protocol.

AIMS: This protocol describes a study aiming to: (1) describe pathways and experiences of women's symptom recognition, appraisal and management of endometriosis; and (2) identify differences in pathways and experiences among a socioeconomically and racially diverse group of women. DESIGN: Descriptive qualitative study with stratified purposeful sampling. METHODS: Data will be collected from a minimum of 24 women with provider-presumed or surgically confirmed diagnoses across two time points. The study will recruit across socioeconomic status (SES) and race/ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latina) to ensure diversity of the sample. Recruitment will occur at a large public hospital in the southeastern United States (US). Participants will be interviewed using semi-structured interview guides informed by Elder and Giele's Life Course perspective approaching women as active beings in dynamic systems shaped by: 1) their location in time and space; 2) linked lives; and 3) human agency, and 4) the time of their lives. Each woman's experiences, symptoms, and contacts with health-care systems will be mapped to trace their diagnostic pathways. Coded interviews and data will undergo within- and across-case analysis to identify similarities and differences in their experiences. Institutional review board approval was obtained June 2019. DISCUSSION: The participants' diagnostic maps will enable us to distinguish the differences in pathways and experiences between and across groups. Findings will inform the development of interventions aimed at shortening the time to diagnosis. IMPACT: This will be the first study to compare pathways to diagnosis of endometriosis in a socioeconomically and racially diverse sample of US women using the life course perspective. The results from this research stand to inform future interventions aimed at helping women achieve more timely diagnoses.

Invited Commentary: What Social Epidemiology Brings to the Table-Reconciling Social Epidemiology and Causal Inference.

In response to the Galea and Hernán article, "Win-Win: Reconciling Social Epidemiology and Causal Inference" (Am J Epidemiol. 2020;189(XX):XXXX-XXXX), we offer a definition of social epidemiology. We then argue that methodological challenges most salient to social epidemiology have not been adequately addressed in quantitative causal inference, that identifying causes is a worthy scientific goal, and that quantitative causal inference can learn from social epidemiology's methodological innovations. Finally, we make 3 recommendations for quantitative causal inference.

Racial Capitalism Within Public Health-How Occupational Settings Drive COVID-19 Disparities.

Epidemiology of the US coronavirus disease 2019 (COVID-19) outbreak focuses on individuals' biology and behaviors, despite centrality of occupational environments in the viral spread. This demonstrates collusion between epidemiology and racial capitalism because it obscures structural influences, absolving industries of responsibility for worker safety. In an empirical example, we analyzed economic implications of race-based metrics widely used in occupational epidemiology. In the United States, White adults have better average lung function and worse hearing than Black adults. Impaired lung function and impaired hearing are both criteria for workers' compensation claims, which are ultimately paid by industry. Compensation for respiratory injury is determined using a race-specific algorithm. For hearing, there is no race adjustment. Selective use of race-specific algorithms for workers' compensation reduces industries' liability for worker health, illustrating racial capitalism operating within public health. Widespread and unexamined belief in inherent physiological inferiority of Black Americans perpetuates systems that limit industry payouts for workplace injuries. We see a parallel in the epidemiology of COVID-19 disparities. We tell stories of industries implicated in the outbreak and review how they exemplify racial capitalism. We call on public health professionals to critically evaluate who is served and neglected by data analysis and to center structural determinants of health in etiological evaluation.

Longitudinal Associations of US Acculturation With Cognitive Performance, Cognitive Impairment, and Dementia.

US Latinos, a growing, aging population, are disproportionately burdened by cognitive decline and dementia. Identification of modifiable risk factors is needed for interventions aimed at reducing risk. Broad sociocultural context may illuminate complex etiology among culturally diverse Latinos. Among 1,418 older (≥60 years), low-socioeconomic position (SEP) Latinos (predominantly of Mexican descent) in Sacramento, California, we examined whether US acculturation was associated with cognitive performance, cognitive decline, and dementia/ cognitive impairment without dementia over a 10-year period and whether education modified the associations (Sacramento Area Latino Study on Aging, 1998-2008). Analyses used linear mixed models, competing-risk regression, and inverse probability of censoring weights for attrition. Participants with high US acculturation had better cognitive performance (0.21 fewer cognitive errors at grand-mean-centered age 70 years) than those with low acculturation after adjustment for sociodemographic factors, practice effects, and survey language. Results may have been driven by cultural language use rather than identity factors (e.g., ethnic identity, interactions). Rate of cognitive decline and risk of dementia/cognitive impairment without dementia did not differ by acculturation, regardless of education (ß = 0.00 (standard error, 0.00) and hazard ratio = 0.81 (95% confidence interval: 0.49, 1.35), respectively). High US acculturation was associated with better cognitive performance among these older, low-SEP Latinos. Acculturation may benefit cognition when SEP is low. Future studies should incorporate extended longitudinal assessments among more diverse groups.

Premenopausal gynecologic surgery and survival among black and white women with breast cancer.

PURPOSE: In the United States, hysterectomies and oophorectomies are frequently performed before menopause for benign conditions. The procedures are associated with reduced breast cancer-specific mortality among White women. The relationship between premenopausal gynecologic surgery and mortality in Black women with breast cancer is unknown. METHODS: This investigation used incident invasive cases of breast cancer from Phases 1 and 2 of the Carolina Breast Cancer Study a population-based study that recruited Black and White women in North Carolina between 1993 and 2001. Premenopausal gynecologic surgery was operationalized in three categories: no surgery; hysterectomy with bilateral oophorectomy; hysterectomy with conservation of ≥ 1 ovary. Mortality was ascertained using the National Death Index, last updated in 2016. Multivariable-adjusted Cox Proportional Hazard Models were used to estimate the effect of premenopausal surgery on breast cancer-specific and all-cause mortality RESULTS: Hysterectomy with bilateral oophorectomy was associated with reduced breast cancer-specific mortality (HR 0.68; 95% CI 0.49, 0.96). White and Black women had a similar reduction in breast cancer-specific mortality. (HR among white: 0.66; 95% CI 0.43, 1.02), (HR among Black: 0.67; 95% CI 0.37, 1.21). CONCLUSIONS: There was a similar reduction in breast cancer-specific mortality following premenopausal, pre-diagnosis hysterectomy with bilateral oophorectomy across both Black and White women.

Integrating Surveillance Data to Estimate Race/Ethnicity-specific Hysterectomy Inequalities Among Reproductive-aged Women: Who's at Risk?

BACKGROUND: Inequalities by race and ethnicity in hysterectomy for noncancerous conditions suggest that some subgroups may be shouldering an unfair burden of procedure-associated negative health impacts. We aimed to estimate race- and ethnicity-specific rates in contemporary hysterectomy incidence that address three challenges in the literature: exclusion of outpatient procedures, no hysterectomy prevalence adjustment, and paucity of non-White and non-Black estimates. METHODS: We used surveillance data capturing all inpatient and outpatient hysterectomy procedures performed in North Carolina from 2011 to 2014 (N = 30,429). Integrating data from the Behavior Risk Factor Surveillance System and US Census population estimates, we calculated prevalence-corrected hysterectomy incidence rates and differences by race and ethnicity. RESULTS: Prevalence-corrected estimates show that non-Hispanic (nH) Blacks (62, 95% confidence interval [CI] = 61, 63) and nH American Indians (85, 95% CI = 79, 93) per 10,000 person-years (PY) had higher rates, compared with nH Whites (45 [95% CI = 45, 46] per 10,000 PY), while Hispanic (20, 95% CI = 20, 21) and nH Asian/Pacific Islander rates (8, 95% CI = 8.0, 8.2) per 10,000 PY were lower than nH Whites. CONCLUSION: Through strategic surveillance data use and application of bias correction methods, we demonstrate wide differences in hysterectomy incidence by race and ethnicity. See video abstract at, http://links.lww.com/EDE/B657.

Neighborhood characteristics associated with park use and park-based physical activity among children in low-income diverse neighborhoods in New York City.

Urban parks provide spaces and facilities for children's physical activity (PA) and can be a free resource in low-income communities. This study examined whether neighborhood characteristics were associated with children's park use and park-based moderate-to-vigorous PA (MVPA) in low-income diverse communities and how associations differed between ethnic groups. Data on park visits and MVPA came from 16,402 children 5-10-years old directly observed using the System for Observing Play and Recreation in Communities in 20 parks in low-income neighborhoods with majority Latino or Asian populations in New York City. Neighborhood characteristics included land use mix (LUM), street audits, crime rates, and an area deprivation index. We employed Poisson and negative binomial models to estimate effects of neighborhood-level variables on the number of children observed in parks and engaging in MVPA, overall and by ethnicity. Results for Asian, Latino, and African American children indicated that higher levels of LUM and pedestrian-friendly streets were associated with greater numbers of children in parks and higher MVPA across all three groups. For Asian and Latino children only, quality of environment was positively associated with MVPA, whereas level of deprivation and crime rates in the surrounding neighborhood were negatively associated with children's park-based MVPA. In contrast, a park's access to public transportation was negatively associated with number of all children observed and engaging in MVPA. Study findings suggest that park-based MVPA interventions can be informed by understanding how neighborhood characteristics facilitate and constrain park use and park-based MVPA.

Cancer and noncancer mortality among aluminum smelting workers in Badin, North Carolina.

BACKGROUND: Badin, North Carolina, hosted an aluminum smelting plant from 1917 to 2007. The Concerned Citizens of West Badin reported suspected excess cancer mortality among former employees. This study aimed to investigate these concerns. METHODS: The study cohort was enumerated from United Steel Workers' records of workers employed from 1980 to 2007. Cause-specific mortality rates in the cohort were compared with North Carolina population mortality rates using standardized mortality ratios (SMRs), standardized by age, sex, race, and calendar period. We estimated cause-specific adjusted standardized mortality ratios (aSMRs) using negative controls to mitigate healthy worker survivor bias (HWSB). Standardized rate ratios (SRRs) were calculated to compare mortality rates between workers ever employed vs never employed in the pot room. RESULTS: All-cause mortality among Badin workers was lower than in the general population (SMR: 0.81, 95% confidence interval [CI]: 0.71-0.92). After adjusting for HWSB, excesses for all cancers (aSMR: 1.55, 95% CI: 1.10-2.21), bladder cancer (3.47, 95% CI: 1.25-9.62), mesothelioma (17.33, 95% CI: 5.40-55.59), and respiratory cancer (1.24, 95% CI: 0.77-1.99) were observed. Black males worked the highest proportion of their employed years in the pot room. Potroom workers experienced higher respiratory cancer (SRR: 2.99, 95% CI: 1.23-7.26), bladder cancer (SRR: 1.58, 95% CI: 0.15-15.28), and mesothelioma (SRR: 3.36, 95% CI: 0.21-53.78) mortality rates than never workers in the pot room. CONCLUSIONS: This study responds to concerns of a group of former aluminum workers. The results, while imprecise, suggest excess respiratory and bladder cancers among pot room workers in a contemporary cohort of union employees at a US smelter.

The caloric and sugar content of beverages purchased at different store-types changed after the sugary drinks taxation in Mexico.

BACKGROUND: Following the 2014 sugary drinks tax implementation in Mexico, promising reduction in the volume of purchases of taxed beverages were observed overall and at different store-types. However, the tax's effects on purchasing patterns of calories and sugar remain unclear. METHODS: Using longitudinal data from Mexican households (n = 7038), we examined changes in volume, calories and total sugar of packaged beverages purchased from 2012 to 2016 overall and by store-type. We used fixed effects models to estimate means for volume, calories, and sugar of households. To address the potential selectivity from households shopping at different stores, we calculated inverse probability weights to model the purchases changes over time by store-type. RESULTS: For taxed beverages, the volume of purchases declined by - 49 ml and -30 ml in the first year and second year post tax (2014 and 2015, respectively), while purchases leveled off in the third year of the tax (2016). Calories and sugar from taxed beverage purchases decreased over time, with the majority of the declines occurring in the first two years post-tax implementation. The volume of untaxed beverage purchases increased, whereas changes in calories and total sugar of untaxed beverages were minimal. Store level purchases of taxed beverages significantly decreased in the first two years post taxation (2014 and to 2015) only in supermarkets and traditional stores. The steepest declines in purchases of taxed beverages in 2014 were observed at supermarkets (- 40 ml or - 45%). The volume of purchases of untaxed beverages increased over time in almost all store-types, while calories and sugar minimally decreased over time. CONCLUSION: Although the Mexican tax on SSBs has lowered the purchases of sugary drinks 3 years after the tax implementation, the tax should be strengthened and store-specific interventions should be implemented to further reduce SSBs purchases in the Mexican population.

Perceived discrimination and depressive symptoms among US Latinos: the modifying role of educational attainment.

OBJECTIVE: Despite growing evidence that discrimination may contribute to poor mental health, few studies have assessed this association among US Latinos. Furthermore, the interaction between discrimination and educational attainment in shaping Latino mental health is virtually unexplored. This study aims to examine the association between perceived discrimination and depressive symptoms and the modifying role of education among a population of Mexican-origin adults. DESIGN: We utilized population-based data from 629 Mexican-origin adults (mean age = 52.8 years) participating the Niños Lifestyle and Diabetes Study (2013-2014). Perceived discrimination was defined as responding 'sometimes' or 'often' to at least one item on the 9-item Everyday Discrimination Scale. High depressive symptoms were defined as scoring ≥10 on the CESD-10. We used log-binomial and linear-binomial models to estimate prevalence ratios (PR) and prevalence differences (PD), respectively, of high depressive symptoms for levels of perceived discrimination. Final models were adjusted for age, sex, education, cultural orientation, and nativity. General estimating equations were employed to account for within-family clustering. RESULTS: Prevalence of perceived discrimination and high depressive symptoms were 49.5% and 29.2%, respectively. Participants experiencing discrimination had higher depressive symptom prevalence than those never or rarely experiencing discrimination [PR = 1.94, 95% confidence interval (CI): 1.46-2.58; PD = 0.19, 95% CI: 0.12-0.27]. The strength of this association varied by education level. The association between discrimination and depressive symptoms was stronger among those with >12 years of education (PR = 2.69; PD = 0.24) compared to those with ≤12 years of education (PR = 1.36; PD = 0.09). CONCLUSION: US Latinos suffer a high burden of depressive symptoms, and discrimination may be an important driver of this burden. Our results suggest that effortful coping strategies, such as achieving high education despite high perceived discrimination, may magnify discrimination's adverse effect on Latino mental health.