The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes.

AIMS: While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease. METHODS: We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we controlled for a wide range of potential confounding variables. RESULTS: Our calculations revealed striking geographic differences in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Higher levels of structural racism were significantly associated with greater racial disparities in mortality for all but two of the health outcomes. CONCLUSIONS: There is a robust relationship between structural racism and Black-White disparities in multiple health outcomes across states. Programs and policies to reduce racial heath disparities must include strategies to help dismantle structural racism and its consequences.

Racial/ethnic discrimination and suicide-related risk in a treatment-seeking group of ethnoracially minoritized adolescents.

INTRODUCTION AND AIMS: Despite growing evidence demonstrating the negative mental health effects of racism-related experiences, racial/ethnic discrimination is seldom examined in youth suicide risk. The present study tested the association between racial/ethnic discrimination and well-supported correlates of suicide-related risk including emotion reactivity and dysregulation, and severity of psychiatric symptoms in a sample of ethnoracially minoritized adolescents receiving outpatient psychiatric services. METHODS: Participants were adolescents (N = 46; 80.4% female; 65.2% Latinx) who ranged in age from 13-20 years old (M=15.42; SD=1.83) recruited from a child outpatient psychiatry clinic in a low-resourced community in Northeast US. Youth completed a clinical interview and a battery of surveys. RESULTS: Findings from separate linear regression models show that increases in frequency of racial/ethnic discrimination were associated with increases in severity of suicidal ideation (SI), independent of emotion reactivity and dysregulation, and symptoms of PTSD and depression. Discriminatory experiences involving personal insults, witnessing family being discriminated, and school-based contexts were uniquely associated with SI. DISCUSSION AND CONCLUSION: Preliminary findings support the association between racial/ethnic discrimination and increased severity of suicide-related risk in ethnoracially minoritized adolescents. Accounting for racial/ethnic discrimination may improve the cultural responsiveness of youth suicide prevention strategies within outpatient psychiatric care.

Association of Physician Characteristics With Early Adoption of Virtual Health Care.

Importance: The rapid transition to virtual health care has depended on physician and patient abilities to adopt new technology and workflows. Physicians transitioning more slowly or not at all could result in access challenges for their patients. Objective: To identify physician characteristics associated with the transition to virtual health care in a large regional health care system. Design, Setting, and Participants: This retrospective cross-sectional study uses administrative health system databases to analyze data from all 3473 physicians providing ambulatory care through a large New England health care system, which includes 12 hospitals and their ambulatory practices, from October 1, 2019, through December 31, 2020. Exposures: Physicians characterized based on gender, popularized generational demographic cohort (Silent Generation, born 1928-1945; Baby Boomers, born 1946-1964; Generation X, born 1965-1980; and Millennials, born 1981-1996), specialty (behavioral health, primary care, medical, and surgical), and hospital affiliation as well as selected patient characteristics (number of visits and proportion of patients with self-pay or Medicaid insurance, aged 65 years or older, preference for speaking a language other than English, from a racial or ethnic minority group, and with an active patient portal). Main Outcomes and Measures: Early adoption of virtual health care. Bivariate comparisons were made, and regression modeling was used to examine characteristics associated with the likelihood of early adoption of virtual health care. Results: Of 3473 physicians conducting ambulatory visits during the study period, 1624 (46.8%) were women, 83 (2.4%) were in the Silent Generation, 994 (28.6%) were Baby Boomers, 1637 (47.1%) were in Generation X, and 759 (21.9%) were Millennials. There were 1649 physicians (47.5%) in medical specialties, 749 physicians (21.6%) in surgical specialties, and 248 physicians (7.1%) in behavioral health. After accounting for other characteristics, female (odds ratio [OR], 1.23; 95% CI, 1.06-1.44), behavioral health (OR, 2.92; 95% CI, 2.11-4.04), and primary care (OR, 1.69; 95% CI, 1.36-2.09) physicians had greater odds of being early adopters, and physicians in the Silent Generation (OR, 0.39, 95% CI, 0.24-0.65) and in surgical specialties (OR, 0.46; 95% CI, 0.38-0.57) were less likely to be early adopters. Patient characteristics were less strongly associated with physician adoption. Conclusions and Relevance: In this cross-sectional study, there was physician-level variation in the adoption of virtual health care, with female, primary care, and behavioral health physicians in this system most likely to lead the transformation to virtual health care.

Consolidating Emergency Department-specific Data to Enable Linkage with Large Administrative Datasets.

INTRODUCTION: The American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data. Merging these with other distinct databases would permit analyses of hospital-based specialties, units, or departments, and patient outcomes. One distinct database is the National Emergency Department Inventory (NEDI), which contains information about all EDs in the United States. However, a challenge with merging these databases is that NEDI lists all US EDs individually, while the AHA and CMS group some EDs by hospital network. Consolidating data for this merge may be preferential to excluding grouped EDs. Our objectives were to consolidate ED data to enable linkage with administrative datasets and to determine the effect of excluding grouped EDs on ED-level summary results. METHODS: Using the 2014 NEDI-USA database, we surveyed all New England EDs. We individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A "group match" was assigned when more than one NEDI ED was matched to a single AHA or CMS facility identification number. Within each group, we consolidated individual ED data to create a single observation based on sums or weighted averages of responses as appropriate. RESULTS: Of the 195 EDs in New England, 169 (87%) completed the NEDI survey. Among these, 130 (77%) EDs were individually listed in AHA and CMS, while 39 were part of groups consisting of 2-3 EDs but represented by one facility ID. Compared to the individually listed EDs, the 39 EDs included in a "group match" had a larger number of annual visits and beds, were more likely to be freestanding, and were less likely to be rural (all P<0.05). Two grouped EDs were excluded because the listed ED did not respond to the NEDI survey; the remaining 37 EDs were consolidated into 19 observations. Thus, the consolidated dataset contained 149 observations representing 171 EDs; this consolidated dataset yielded summary results that were similar to those of the 169 responding EDs. CONCLUSION: Excluding grouped EDs would have resulted in a non-representative dataset. The original vs consolidated NEDI datasets yielded similar results and enabled linkage with large administrative datasets. This approach presents a novel opportunity to use characteristics of hospital-based specialties, units, and departments in studies of patient-level outcomes, to advance health services research.

Automated delineation of cancer service areas in northeast region of the United States: A network optimization approach.

OBJECTIVE: Derivation of service areas is an important methodology for evaluating healthcare variation, which can be refined to more robust, condition-specific, and empirically-based automated regions, using cancer service areas as an exemplar. DATA SOURCES/STUDY SETTING: Medicare claims (2014-2015) for the nine-state Northeast region were used to develop a ZIP-code-level origin-destination matrix for cancer services (surgery, chemotherapy, and radiation). This population-based study followed a utilization-based approach to delineate cancer service areas (CSAs) to develop and test an improved methodology for small area analyses. DATA COLLECTION/EXTRACTION METHODS: Using the cancer service origin-destination matrix, we estimated travel time between all ZIP-code pairs, and applied a community detection method to delineate CSAs, which were tested for localization, modularity, and compactness, and compared to existing service areas. PRINCIPAL FINDINGS: Delineating 17 CSAs in the Northeast yielded optimal parameters, with a mean localization index (LI) of 0.88 (min: 0.60, max: 0.98), compared to the 43 Hospital Referral Regions (HRR) in the region (mean LI: 0.68; min: 0.18, max: 0.97). Modularity and compactness were similarly improved for CSAs vs. HRRs. CONCLUSIONS: Deriving cancer-specific service areas with an automated algorithm that uses empirical and network methods showed improved performance on geographic measures compared to more general, hospital-based service areas.

Using ecological momentary assessment (EMA) to explore mechanisms of alcohol-involved HIV risk behavior among men who have sex with men (MSM).

BACKGROUND AND AIMS: Heavy drinking is associated with increased risk of incident HIV infection among men who have sex with men (MSM). Past studies suggest that this association may be due to the tendency for intoxication to interfere with condom use. However, research on potential causal mechanisms explaining this relationship has been limited primarily to laboratory studies. In this study, we tested several potential mediators of the relationship between alcohol use level and HIV risk behavior. DESIGN: Ecological momentary assessment (EMA) methods conducted over a 30-day period. SETTING AND PARTICIPANTS/CASES: MSM (n = 100) in the northeastern United States. MEASUREMENTS: Participants completed daily diary surveys and up to six experience sampling surveys randomly prompted throughout the day. FINDINGS: Very heavy levels of drinking (12+ drinks) increased the odds of engaging in any sex [odds ratio (OR) = 1.87, P < 0.001]. Coefficient products and 95% confidence intervals indicated that both subjective sexual arousal (OR = 1.52, P < 0.001) and sex intentions (OR = 1.74, P < 0.001) significantly mediated the association between very heavy drinking and the odds of sex. When participants reported sex, the odds of engaging in high-risk condomless anal sex (CAS) increased incrementally after drinking heavily (five to 11 drinks; OR = 3.27, P = 0.006) and very heavily (12+ drinks; OR = 4.42, P < 0.001). Only subjective sexual arousal significantly mediated the association between alcohol use level and high-risk CAS (OR = 1.16, P = 0.040). CONCLUSIONS: Increases in subjective sexual arousal after drinking heavily appear to partly account for alcohol-related HIV risk behaviors in the daily lives of men who have sex with men. Alcohol's role in strengthening motivationally consistent emotional states may therefore play a more important role in facilitating alcohol-involved HIV risk than explicit sexual motivation.

Analyzing the cost-effectiveness of Lyme disease risk reduction approaches.

Lyme disease (LD) is endemic in many regions of the Northeastern United States. Given the elusive nature of the disease, a systematic approach to identify efficient interventions would be useful for policymakers in addressing LD. We used Markov modeling to investigate the efficiency of interventions. These interventions range from awareness-based to behavioral-based strategies. Targeting animal reservoirs of LD using fungal spray or bait boxes did not prove to be an effective intervention. Results of awareness-based interventions, including distribution of signage, fliers, and presentations, implementable in different geographical scales, suggest that policymakers should focus on these interventions, as they are both cost-effective and have the highest impact on lowering LD risk. Populations may lose focus of LD warnings over time, thus quick succession of these interventions is vital. Our modeling results identify the awareness-based intervention as the most cost-effective strategy to lower the number of LD cases. These results can aid in the establishment of effective LD risk reduction policy at various scales of implementation.

Demographics, Risk Factors, and Incidence of Melanoma in Patients in the New England VA Healthcare system.

INTRODUCTION: A recent study found that the incidence of melanoma and melanoma-related mortality was decreasing in residents of the New England region. However, it is unknown whether this trend is conserved in Veterans of New England who constitute more than 14% of the national Veteran population. Given this, our goal was to analyze the incidence of melanoma in patients of Veteran Integrated Service Network-1 (VISN-1) (geographically consisting of VA health care facilities in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) and to calculate an incidence rate ratio (IRR) of melanoma in VISN-1 compared to the general population. Additional goals were to ascertain the risk/susceptibility of this patient population with a view to improve quality of care and outcomes. MATERIALS AND METHODS: Data for 523 cases of melanoma [2000-2011] were obtained from the regional branch of the Veterans Affairs Central Cancer Registry (VACCR) within the geographic area comprising VISN-1. A detailed retrospective chart review was conducted on these cases to gather demographic, risk factor, and clinical practice data. Demographic and incidence data from VISN-1 were compared to the general population via data from Surveillance, Epidemiology and End Results Program (SEER) from the same time period. Person-years (PY) were calculated for both populations to measure IRRs which was further standardized for age and gender. RESULTS: VISN-1 patients were predominantly older (94.26% >50 years), Caucasian (99.43%) males (96.75%). Compared to the general population, VISN-1 patients experienced more invasive lesions defined as stage T1 or greater (4.33% vs. 57.12%, p < 0.001), but reduced melanoma-associated mortality (40.96% vs. 19.05%, p < 0.001) although all-cause mortality was approximately doubled (52.20% vs. 26.14%, p < 0.001). Metastatic disease-rates were similar in both [approximately 4% in both]. IRR of melanoma in VISN-1 patients was 0.36 (95% CI: 0.20-0.67; p = 0.0063) which persisted in all age groups/genders. 60.92% of VISN-1 patients had recreational sun-exposure history and 72.41% of tobacco use. 95.02% of melanomas were located in continuously/intermittently sun-exposed areas, 93.28% were surgically-treated with a median treatment delay of 31 days [range 18-48]. Median lost to follow-up was 0 day [range 0-681 days]. CONCLUSIONS: Compared to the general population, melanoma incidence was lower in the VISN-1 cohort, possibly due to decreased UV index in the New England region, protective effects of past tobacco use, improved access to care through the VA and regional public health educational efforts. Yet melanomas were more often invasive in the VISN-1 cohort due to advanced age and male sex both of which are associated with more advanced disease at diagnosis. A strength of this study is the calculation of IRR using PY as this method enhances accuracy of incidence calculations. The data were limited by the fact that the population was from one geographic region and consisted mainly of elderly Caucasian males. Descriptive variable data such as sun-protective habits and risk factors from military service are limited by potential recall bias given the retrospective study design. Further study is necessary to replicate these results and to compare our data to Veteran populations from different geographic regions within the USA.

Early life disadvantage and adult adiposity: tests of sensitive periods during childhood and behavioural mediation in adulthood.

BACKGROUND: Early exposure to socioeconomic disadvantage is associated with obesity. Here we investigated how early, and conducted mediation analyses to identify behavioural factors in adulthood that could explain why. METHODS: Among 931 participants in the New England Family Study, we investigated the associations of family socioeconomic disadvantage measured before birth and at age 7 years with the following measures of adiposity in mid-adulthood (mean age = 44.4 years): body mass index (BMI), waist circumference and, among 400 participants, body composition from dual-energy X-ray absorption scans. RESULTS: In linear regressions adjusting for age, sex, race and childhood BMI Z-score, participants in the highest tertile of socioeconomic disadvantage at birth had 2.6 additional BMI units in adulthood [95% confidence interval (CI) = 1.26, 3.96], 5.62 cm waist circumference (95% CI = 2.69, 8.55), 0.73 kg of android fat mass (95% CI = 0.25, 1.21), and 7.65 higher Fat Mass Index (95% CI = 2.22, 13.09). Conditional on disadvantage at birth, socioeconomic disadvantage at age 7 years was not associated with adult adiposity. In mediation analyses, 10-20% of these associations were explained by educational attainment and 5-10% were explained by depressive symptoms. CONCLUSIONS: Infancy may be a sensitive period for exposure to socioeconomic disadvantage, as exposure in the earliest years of life confers a larger risk for overall and central adiposity in mid-adulthood than exposure during childhood. Intervention on these two adult risk factors for adiposity would, if all model assumptions were satisfied, only remediate up to one-fifth of the excess adult adiposity among individuals born into socioeconomically disadvantaged households.

Diabetes Quality of Care and Maintenance in New England: Can Cross-State Collaboration Move Us Forward?

INTRODUCTION: State efforts to identify subpopulations at higher risk for inadequate diabetes maintenance are sometimes hampered by small sample size. We provide a model of a cross-state collaboration that might provide the foundation for identifying political and economic forces underlying inter- and intra-state variability in chronic disease care. METHODS: We collected Behavioral Risk Factor Surveillance System data directly from 5 of 6 New England states and ran multivariate logistic regressions on 5 exposures: race/ethnicity, federal poverty level (FPL) bracket, insurance status (yes or no), insurance type (public or private), and state of residence. Our sample consisted of adults aged 35 or older diagnosed with diabetes. Outcomes included whether respondents with diabetes received complete annual diabetes care (≥2 hemoglobin A1c tests, eye examination, foot examination), had ever taken a diabetes self-management class, or reported diabetes-related retinopathy. RESULTS: Half (50.4%) of our sample had incomplete annual diabetes care. In multivariate logistic regressions, race/ethnicity and FPL bracket were not major drivers of outcomes, although Hispanic/Latino adults had significantly higher risk than non-Hispanic white adults of not knowing how many hemoglobin A1c tests they had had in the past year or what such a test is (adjusted odds ratio = 2.74 [95% confidence interval, 1.15-6.56]) and of diabetes-related retinopathy (adjusted odds ratio = 3.13 [95% confidence interval, 1.61-6.10]). With few exceptions, higher FPL bracket, insurance status, insurance type, and state of residence were not associated with diabetes maintenance. CONCLUSION: Inadequate annual diabetes care among adults with diagnosed diabetes was endemic even in this relatively advantaged US census division, and traditional disparities (eg, race/ethnicity, FPL bracket) only partially explained patterns in diabetes maintenance activities. Interstate analyses can create the foundation for active partnerships to identify and address the causes of lapses in care.

Use of Chronic Care Management Codes for Medicare Beneficiaries: a Missed Opportunity?

BACKGROUND: Physicians spend significant time outside of regular office visits caring for complex patients, and this work is often uncompensated. In 2015, the Centers for Medicare & Medicaid Services (CMS) introduced a billing code for care coordination between office visits for beneficiaries with multiple chronic conditions. OBJECTIVE: Characterize use of the Chronic Care Management (CCM) code in New England in 2015. DESIGN: Retrospective observational analysis. PARTICIPANTS: All Medicare fee-for-service beneficiaries in New England continuously enrolled in Parts A and B in 2015. INTERVENTION: None. MAIN MEASURES: The primary outcome was the number of beneficiaries with a CCM claim per 1000 eligible beneficiaries. Secondary outcomes included the total number of CCM claims, total reimbursement, mean number of claims per beneficiary, and beneficiary characteristics independently associated with receiving CCM services. KEY RESULTS: Of the more than two million Medicare fee-for-service beneficiaries in New England, almost 1.7 million were potentially eligible for CCM services. Among eligible beneficiaries, 10,951 (0.65%) had a CCM claim in 2015. Massachusetts had the highest penetration of CCM use (9.40 claims per 1000 eligible beneficiaries); Vermont had the lowest (0.54 claims per 1000 eligible beneficiaries). Mean reimbursement per physician was $1745.98. Age, race/ethnicity, dual-eligible status, income, number of chronic conditions, and state of residence were associated with receiving CCM services in an adjusted model. CONCLUSIONS: The CCM code is likely underutilized in New England; the program may therefore not be achieving its intended goal of encouraging consistent, team-based chronic care management for Medicare's most complex beneficiaries. Or practices may be foregoing reimbursement for care coordination that they are already providing. Recently implemented revisions may improve uptake of CCM services; it will be important to compare our results with future utilization.

Urbanicity matters in self-reported child maltreatment prevalence: Findings from a nationally representative study.

Despite indications that there are differences in rates of child maltreatment (CM) cases in the child protection system between urban and rural areas, there are no published studies examining the differences in self-reported CM prevalence and its correlates by urbanicity. The present study aimed to: (1) identify the distribution of self-reported childhood experiences of maltreatment by urbanicity, (2) assess whether differences by urbanicity persist after adjusting for known risk factors, and (3) explore whether the associations between these risk factors and CM are modified by urban-rural designation. Using nationally representative data from waves I and III of the National Longitudinal Study of Adolescent to Adult Health, the prevalence of six maltreatment outcomes was estimated for rural, minor urban, and major urban areas (N = 14,322). Multivariable logistic models were estimated identifying if risk associated with urbanicity persisted after adjusting for other risk factors. Interactions between urbanicity and main effects were explored. Prevalence estimates of any CM, poly-victimization, supervision neglect, and physical abuse were significantly higher in major urban areas. Those from major urban areas were more likely to report any maltreatment and supervision neglect even after adjusting for child and family risk factors. The association between race/ethnicity, welfare receipt, low parental educational attainment, and disability status and CM were modified by urbanicity. Significant differences in the prevalence and correlates of CM exist between urban and rural areas. Future research and policy should use self-reported prevalence, in conjunction with official reports, to inform child maltreatment prevention and intervention.

Residential green space and birth outcomes in a coastal setting.

BACKGROUND: Residential green space may improve birth outcomes, with prior studies reporting higher birthweight among infants of women living in greener areas. However, results from studies evaluating associations between green space and preterm birth have been mixed. Further, the potential influence of residential proximity to water, or 'blue space', on health has not previously been evaluated. OBJECTIVES: To evaluate associations between green and blue space and birth outcomes in a coastal area of the northeastern United States. METHODS: Using residential surrounding greenness (measured by Normalized Difference Vegetation Index [NDVI]) and proximity to recreational facilities, coastline, and freshwater as measures of green and blue space, we examined associations with preterm birth (PTB), term birthweight, and term small for gestational age (SGA) among 61,640 births in Rhode Island. We evaluated incremental adjustment for socioeconomic and environmental metrics. RESULTS: In models adjusted for individual - and neighborhood-level markers of socioeconomic status (SES), an interquartile range (IQR) increase in NDVI was associated with a 12% higher (95% CI: 4, 20%) odds of PTB and, conversely, living within 500 m of a recreational facility was associated with a 7% lower (95% CI: 1, 13%) odds of PTB. These associations were eliminated after further adjustment for town of residence. NDVI was associated with higher birthweight (7.4 g, 95% CI: 0.4-14.4 g) and lower odds of SGA (OR = 0.92, 95% CI: 0.87-0.98) when adjusted for individual-level markers of SES, but not when further adjusted for neighborhood SES or town. Living within 500 m of a freshwater body was associated with a higher birthweight of 10.1 g (95% CI: 2.0, 18.2) in fully adjusted models. CONCLUSIONS: Findings from this study do not support the hypothesis that residential green space is associated with reduced risk of preterm birth or higher birthweight after adjustment for individual and contextual socioeconomic factors, but variation in results with incremental adjustment raises questions about the optimal degree of control for confounding by markers of SES. We found that living near a freshwater body was associated with higher birthweight. This result is novel and bears further investigation in other settings and populations.

An analysis of diagnoses that drive readmission: What can we learn from the hospitals in Southern New England with the highest and lowest readmission performance?

Background: The Hospital Readmission Reduction Program was instituted by the Centers for Medicare & Medicaid Services in 2012 to incentivize hospitals to reduce readmissions. OBJECTIVE: To examine the most common diagnoses driving readmissions among fee-for-service Medicare beneficiaries in the hospitals with the highest and lowest readmission performance in Southern New England from 2014 to 2016. METHODS: This is a retrospective observational study using publicly available Hospital Compare data and Medicare Part A claims data. Hospitals were ranked based on risk-adjusted excess readmission ratios. Patient demographic and hospital characteristics were compared for the two cohorts using t-tests. The percentages of readmissions in each cohort attributable to the top three readmission diagnoses were examined. RESULTS: Highest-performing hospitals readmitted a significantly lower percentage of black patients (p=0.03), were less urban (p<0.01), and had higher Hospital Compare Star ratings (p=0.01). Lowest-performing hospitals readmitted higher percentages of patients for sepsis (9.4% [95%CI: 8.8%-10.0%] vs. 8.1% [95%CI: 7.4%-8.7%]) and complications of device, implant, or graft (3.2% [95%CI: 2.5%-3.9%] vs. 0.2% [95%CI: 0.1%-0.6%]), compared to highest-performing hospitals. CONCLUSIONS: Ongoing efforts to improve care transitions may be strengthened by targeting early infection surveillance, promoting adherence to surgical treatment guidelines, and improving communication between hospitals and post-acute care facilities. [Full article available at http://rimed.org/rimedicaljournal-2017-08.asp].

Sleep Hygiene and Sleep Outcomes in a Sample of Urban Children With and Without Asthma.

Objective: To assess sleep hygiene and the sleep environment of urban children with and without asthma, and examine the associations among urban stressors, sleep hygiene, and sleep outcomes. Methods: Urban children, 7-9 years old, with (N = 216) and without (N = 130) asthma from African American, Latino, or non-Latino White backgrounds were included. Level of neighborhood risk was used to describe urban stress. Parent-reported sleep hygiene and daytime sleepiness data were collected using questionnaires. Sleep duration and efficiency were assessed via actigraphy. Results: Higher neighborhood risk, not asthma status, was associated with poorer sleep hygiene. Controlling for neighborhood risk, sleep hygiene was related to daytime sleepiness. Asthma status, not sleep hygiene, was related to sleep efficiency. In children with asthma, poorer sleep hygiene was associated with shorter sleep duration. Conclusion: Considering urban stressors when treating pediatric populations is important, as factors related to urban stress may influence sleep hygiene practices and sleep outcomes.

Relationship Between Meal Plan, Dietary Intake, Body Mass Index, and Appetitive Responsiveness in College Students.

INTRODUCTION: One third of the approximately 23,000 undergraduates in the United States are overweight or obese. College students appear to be more vulnerable to disproportionate weight gain during this time. METHOD: Cross-sectional. Diet, body mass index, and appetitive responsiveness were assessed in 80 undergraduates enrolled in three different meal plans, unlimited access, points, and none. RESULTS: Appetitive responsiveness was positively correlated with fat (r = 0.34, p = .002) but not added sugars across groups. Unlimited access-plan students had higher fat consumption than no-plan students, regardless of appetitive responsiveness. Unlimited access-plan students had higher fruit and vegetable consumption and higher dairy consumption than point-plan students. There were no group differences for body mass index. All groups were below the U.S. Department of Agriculture guidelines for dairy and fruit and vegetable intake. DISCUSSION: Optimizing the college campus food environment toward healthful, affordable choices is likely to improve dietary habits and might minimize college weight gain.

Epigenetic Mediators Between Childhood Socioeconomic Disadvantage and Mid-Life Body Mass Index: The New England Family Study.

OBJECTIVE: Childhood socioeconomic disadvantage is associated with adulthood obesity risk; however, epigenetic mechanisms are poorly understood. This work's objective was to evaluate whether associations of childhood socioeconomic disadvantage with adulthood body mass index (BMI) are mediated by DNA methylation. METHODS: Participants were 141 men and women from the New England Family Study, prospectively followed prenatally through a mean age of 47 years. Epigenomewide DNA methylation was evaluated in peripheral blood and adipose tissue obtained at adulthood, using the Infinium HumanMethylation450K BeadChip. Childhood socioeconomic status (SES) at age 7 years was assessed directly from parents' reports. Offspring adiposity was directly assessed using BMI at a mean age of 47 years. Associations of SES, DNA methylation, and BMI were estimated using least square estimators. Statistical mediation analyses were performed using joint significance test and bootstrapping. RESULTS: Of CpG sites significant at the 25% false discovery rate level in epigenomewide methylation BMI analyses, 91 sites in men and 71 sites in women were additionally significant for SES-methylation associations (p < .001) in adipose tissue. Many involved genes biologically relevant for development of obesity, including fatty acid synthase, transmembrane protein 88, signal transducer and activator of transcription 3, and neuritin 1. There was no evidence of epigenetic mediation in peripheral blood leukocytes. CONCLUSIONS: DNA methylation at specific genes may be mediators of associations between childhood socioeconomic disadvantage and mid-life BMI in adipose tissue. Findings motivate continued efforts to study if and how childhood socioeconomic disadvantage is biologically embedded at the level of the epigenome in regions etiologically relevant for adiposity.

Inpatient Cost Assessment of Transjugular Intrahepatic Portosystemic Shunt in the USA from 2001 to 2012.

BACKGROUND: Despite widespread use of transjugular intrahepatic portosystemic shunt (TIPS) for treatment of portal hypertension, a paucity of nationwide data exists on predictors of the economic impact related to TIPS. AIMS: Using the National Inpatient Sample (NIS) database from 2001 to 2012, we aimed to evaluate factors contributing to hospital cost of patients admitted to US hospitals for TIPS. METHODS: Using the NIS, we identified a discharge-weighted national estimate of 61,004 TIPS procedures from 2001 to 2012. Through independent sample analysis, we determined profile factors related to increases in hospital costs. RESULTS: Of all TIPS cases, the mean charge adjusted for inflation to the year 2012 is $125,044 ± $160,115. The mean hospital cost adjusted for inflation is $44,901 ± $54,565. Comparing pre- and post-2005, mean charges and cost have increased considerably ($98,154 vs. $142,652, p < 0.001 and $41,656 vs. $46,453, p < 0.001, respectively). Patients transferred from a different hospital, weekend admissions, Asian/Pacific Islander patients, and hospitals in the Northeastern and Western region had higher cost. Number of diagnoses and number of procedures show positive correlations with hospital cost, with number of procedures exhibiting stronger relationships (Pearson 0.613). Comorbidity measures with highest increases in cost were pulmonary circulation disorders ($32,157 increase, p < 0.001). CONCLUSION: The cost of the TIPS procedure is gradually rising for hospitals. Alongside recent healthcare reform through the Affordable Care Act, measures to reduce the economic burden of TIPS are of increasing importance. Data from this study are intended to aid physicians and hospitals in identifying improvements that could reduce hospital costs.

A behavioral economic perspective on smoking persistence in serious mental illness.

Serious mental illness (SMI) is associated with disproportionately high rates of cigarette smoking. The identification of factors that contribute to persistent smoking in people with SMI may lead to the development and adoption of tobacco control policies and treatment approaches that help these smokers quit. This commentary examines factors underlying smoking persistence in people with SMI from the perspective of behavioral economics, a discipline that applies economic principles to understanding drug abuse and dependence. Studies, conducted in the Northeastern US within the past 30years, that compare the reinforcing effects of nicotine and the costs of smoking in smokers with and without schizophrenia and depression are discussed, and interventions that may reduce the reinforcing efficacy of nicotine and increase the costs of smoking in people with SMI are described.