Heterogeneity in Unmet Treatment Need and Barriers to Accessing Mental Health Services Among U.S. Military Service Members with Serious Psychological Distress.

The goal of the current study is to examine heterogeneity in mental health treatment utilization, perceived unmet treatment need, and barriers to accessing care among U.S. military members with probable need for treatment. Using data from the 2018 Department of Defense Health Related Behavior Survey, we examined a subsample of 2,336 respondents with serious psychological distress (SPD; past-year K6 score ≥ 13) and defined four mutually exclusive groups based on past-year mental health treatment (treated, untreated) and self-perceived unmet treatment need (recognized, unrecognized). We used chi-square tests and adjusted regression models to compare groups on sociodemographic factors, impairment (K6 score; lost work days), and endorsement of treatment barriers. Approximately 43% of respondents with SPD reported past-year treatment and no unmet need (Needs Met). The remainder (57%) met criteria for unmet need: 18% endorsed treatment and recognized unmet need (Treated/Additional Need); 7% reported no treatment and recognized unmet need (Untreated/Recognized Need); and 32% reported no treatment and no unmet need (Untreated/Unrecognized Need). Compared to other groups, those with Untreated/Unrecognized Need tended to be younger (ages 18-24; p = 0.0002) and never married (p = 0.003). The Treated/Additional Need and Untreated/Recognized Need groups showed similar patterns of treatment barrier endorsement, whereas the Untreated/Unrecognized Need group endorsed nearly all barriers at lower rates. Different strategies may be needed to increase appropriate mental health service use among different subgroups of service members with unmet treatment need, particularly those who may not self-perceive need for treatment.

Do social isolation and neighborhood walkability influence relationships between COVID-19 experiences and wellbeing in predominantly Black urban areas?

Black Americans have been disproportionately affected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or COVID-19) pandemic. Since the pandemic's start, we have observed compounded health, social, and economic impacts for communities of color, fueled in part by profound residential segregation in the United States that, for centuries prior to the pandemic, created differences in access to opportunity and resources. Based on a longitudinal cohort of Black residents living in two racially isolated Pittsburgh neighborhoods, we sought to: 1) describe the experiences of behavioral responses to COVID-19 conditions (e.g., closures of businesses, schools, government offices) and illness experiences reported by residents within these disinvested, urban areas and 2) determine if these experiences were associated with perceptions of risk, negative mental health outcomes, and food insecurity; and 3) examine whether any of the associations were explained by social isolation or modified by neighborhood walkability. We found direct associations between residents' experience with COVID-19-related closures and with the illness, with perceived risk, and change in psychological distress, sleep quality, and food insecurity from pre-COVID-19 levels. Social isolation was a statistically significant mediator of all of these associations, most strongly mediating the pathway to psychological distress. We found neighborhood walkability to be a significant moderator of the association between closure experiences and sleep quality. The results suggest that experiences of COVID-19 closures and illness were associated with serious threats to public health in Black, disinvested, urban neighborhoods, beyond those caused directly by the virus. Outcomes of the pandemic appear very much dependent on the extent to which social and physical resources are available to meet the demands of stress.

Movement behaviors associated with mental health among US military service members.

Compared to the general adult population, military service members experience an excess burden of mental health problems (e.g., posttraumatic stress disorder, PTSD). Physical activity, screen time, and sleep (i.e., movement behaviors) are independently associated with mental health, but their combined effects are poorly understood, particularly in military populations. We analyzed data from active component service members in the national 2018 Health Related Behaviors Survey (N = 17,166). Weighted gender-stratified logistic regression models examined the associations of meeting recommended/healthy levels of moderate-to vigorous physical activity (MVPA), screen time, and sleep duration - separately and in combination (none, some, all) - with PTSD, suicide ideation, and serious psychological distress. In both men and women, meeting sleep recommendations was associated with reduced odds of each outcome. Meeting MVPA recommendations was associated with lower odds of serious psychological distress only in men (OR = 0.76, 95% CI: 0.58-1.00). No/low screen time was associated with lower odds of suicide ideation only in women (OR = 0.66, 95% CI: 0.45-0.95). The odds of all three outcomes were lower in those who reported some or all (vs. none) recommended/healthy movement behaviors, with the lowest odds found in the "all" group, suggesting a possible dose-response relationship. Findings can help inform multiple behavior change interventions to improve service members' psychological fitness and military readiness.

Improvements in Neighborhood Socioeconomic Conditions May Improve Resident Diet.

Neighborhood socioeconomic conditions (NSECs) are associated with resident diet, but most research has been cross-sectional. We capitalized on a natural experiment in Pittsburgh, Pennsylvania, in which 1 neighborhood experienced substantial investments and a sociodemographically similar neighborhood that did not, to examine pathways from neighborhood investments to changed NSECs and changed dietary behavior. We examined differences between renters and homeowners. Data were from a random sample of households (n = 831) in each of these low-income Pittsburgh neighborhoods that were surveyed in 2011 and 2014. Structural equation modeling tested direct and indirect pathways from neighborhood to resident dietary quality, adjusting for individual-level sociodemographics, with multigroup testing by homeowners versus renters. Neighborhood investments were directly associated with improved dietary quality for renters (ß = 0.27, 95% confidence interval (CI): 0.05, 0.50) and homeowners (ß = 0.51, 95% CI: 0.10, 0.92). Among renters, investments also were associated with dietary quality through a positive association with commercial prices (ß = 0.34, 95% CI: 0.15, 0.54) and a negative association with residential prices (ß = -0.30, 95% CI: -0.59, -0.004). Among homeowners, we did not observe any indirect pathways from investments to dietary quality through tested mediators. Investing in neighborhoods may support resident diet through improvements in neighborhood commercial environments for renters, but mechanisms appear to differ for homeowners.

Food Insecurity in a Low-Income, Predominantly African American Cohort Following the COVID-19 Pandemic.

Objectives. To examine the impact of COVID-19 shutdowns on food insecurity among a predominantly African American cohort residing in low-income racially isolated neighborhoods.Methods. Residents of 2 low-income African American food desert neighborhoods in Pittsburgh, Pennsylvania, were surveyed from March 23 to May 22, 2020, drawing on a longitudinal cohort (n = 605) previously followed from 2011 to 2018. We examined longitudinal trends in food insecurity from 2011 to 2020 and compared them with national trends. We also assessed use of food assistance in our sample in 2018 versus 2020.Results. From 2018 to 2020, food insecurity increased from 20.7% to 36.9% (t = 7.63; P < .001) after steady declines since 2011. As a result of COVID-19, the United States has experienced a 60% increase in food insecurity, whereas this sample showed a nearly 80% increase, widening a preexisting disparity. Participation in the Supplemental Nutrition Assistance Program (52.2%) and food bank use (35.9%) did not change significantly during the early weeks of the pandemic.Conclusions. Longitudinal data highlight profound inequities that have been exacerbated by COVID-19. Existing policies appear inadequate to address the widening gap.

Results from a natural experiment: initial neighbourhood investments do not change objectively-assessed physical activity, psychological distress or perceptions of the neighbourhood.

BACKGROUND: Few studies have assessed objectively measured physical activity (PA), active transportation, psychological distress and neighborhood perceptions among residents of a neighborhood before and after substantial improvements in its physical environment. Also, most research-to-date has employed study designs subject to neighborhood selection, which may introduce bias in reported findings. We built upon a previously enrolled cohort of households from two low-income predominantly African American Pittsburgh neighborhoods, matched on socio-demographic composition including race/ethnicity, income and education. One of the two neighborhoods received substantial neighborhood investments over the course of this study including, but not limited to public housing development and greenspace/landscaping. We implemented a natural experiment using matched intervention and control neighborhoods and conducted pre-post assessments among the cohort. Our comprehensive assessments included accelerometry-based PA, active transportation, psychological distress and perceptions of the neighborhood, with assessments conducted both prior to and following the neighborhood changes. In 2013, we collected data from 1003 neighborhood participants and in 2016, we re-interviewed 676 of those participants. We conducted an intent to treat analysis, with a difference-in-difference estimator using attrition weighting to account for nonresponse between 2013 and 2016. In addition, we derived an individual-level indicator of exposure to neighbourhood investment and estimated effect of exposure to investment on the same set of outcomes using covariate-adjusted models. RESULTS: We observed no statistically significant differences in activity, psychological distress, satisfaction with one's neighborhood as a place to live or any of the other measures we observed prior to and after the neighborhood investments between the intervention and control neighborhoods or those exposed vs not exposed to investments. CONCLUSIONS: Using this rigorous study design, we observed no significant changes in the intervention neighborhood above and beyond secular trends present in the control neighborhood. Although neighborhood investment may have other benefits, we failed to see improvement in PA, psychological distress or related outcomes in the low-income African American neighborhoods in our study. This may be an indication that improvements in the physical environment may not directly translate into improvements in residents' physical activity or health outcomes without additional individual-level interventions. It is also possible that these investments were not dramatic enough to spur change within the three year period. Additional studies employing similar design with other cohorts in other settings are needed to confirm these results. TRIAL REGISTRATION: Trial Registration is not applicable since we did not prospectively assign individuals to a health-related intervention.

Do Sleep and Psychological Distress Mediate the Association Between Neighborhood Factors and Pain?

OBJECTIVE: Pain affects millions of American adults. However, individuals from socioeconomically disadvantaged groups experience higher rates of pain, and individuals from racial/ethnic minorities report greater pain severity and pain-related disability. Some studies find an association between neighborhood socioeconomic status and pain. The present study aimed to further understand the association between neighborhood disadvantage and pain, including the role of objective (e.g., crime rates) and subjective neighborhood characteristics (e.g., perceived safety, neighborhood satisfaction), and to examine sleep and psychological distress as potential mediators of these associations. METHODS: The sample included 820 participants from two predominantly African American socioeconomically disadvantaged neighborhoods. Trained data collectors interviewed participants on a number of self-report measures, and objective neighborhood characteristics were obtained from city crime data and street segment audits. RESULTS: Subjective characteristics, specifically perceived infrastructure and perceived safety, were associated with pain. Based on bootstrapped regression models, sleep efficiency and psychological distress were tested as mediators of the association between these neighborhood factors and pain. Results of mediation testing indicated that psychological distress served as a significant mediator. Though sleep efficiency was not a mediator, it had a significant independent association with pain. CONCLUSIONS: Understanding the contribution of sleep problems and psychological distress to pain among at-risk individuals living in disadvantaged neighborhoods is important to identifying ways that individual- and neighborhood-level interventions may be leveraged to reduce pain-related disparities.

Park Use in Low-Income Urban Neighborhoods: Who Uses the Parks and Why?

We examined individual and environmental influences on park use among residents of two low-income predominantly African American neighborhoods to identify determinants of park use in lower-income urban neighborhoods. We analyzed data from interviews of 1003 individuals randomly selected from the neighborhoods, systematic observations of neighborhood parks, and police-recorded crime incidence within a .5-mi buffer around each park. Most participants (82.4%) had previously visited a neighborhood park, and nearly half (46.2%) had visited one in the past month. However, only 8.5% of participants were aware of their closest park. Compared with the parks closest to home, parks that participants reported visiting most were larger and had more amenities and features and fewer incivilities and reported crimes of a serious nature. Park use among residents of lower-income neighborhoods may be increased by offering more amenities and features and ensuring the presence of a well-appointed park within easy walking distance of residents' homes.

Pathways through which higher neighborhood crime is longitudinally associated with greater body mass index.

BACKGROUND: Although crime and perceived safety are associated with obesity and body mass index (BMI), the pathways are less clear. Two likely pathways by which crime and perceived safety may impact obesity are through distress and physical activity. METHODS: We examined data from 2013 to 2014 for 644 predominantly African-American adults (mean age 57 years; 77% female) living in low-income Pittsburgh, PA neighborhoods, including self-reported perceptions of safety and emotional distress, interviewer-measured height/weight, and physical activity measured via accelerometry. We used secondary data on neighborhood crime from 2011 to 2013. We built a structural equation model to examine the longitudinal direct and indirect pathways from crime to BMI through perceived safety, distress and physical activity. RESULTS: Long-term exposure to crime was positively associated with lack of perceived safety (ß = 0.11, p = 0.005) and lack of perceived safety was positively associated with BMI (ß = 0.08, p = 0.03). The beneficial association between physical activity and BMI (ß = -0.15, p < 0.001) was attenuated by a negative association between crime and physical activity (ß = -0.09, p = 0.01). Although crime was associated with distress we found no evidence of a path from crime to BMI via distress. CONCLUSIONS: Our findings suggest decrements in perceived safety and physical activity are important processes that might explain why neighborhood crime is associated with greater BMI.

Does where you shop or who you are predict what you eat?: The role of stores and individual characteristics in dietary intake.

Interventions to address diet, a modifiable risk factor for diabetes, cancer, and cardiovascular disease, have increasingly emphasized the influence of the physical environment on diet, while more traditional approaches have focused on individual characteristics. We examined environmental and individual influences on diet to understand the role of both. Household interviews were conducted in 2011 with 1372 individuals randomly selected from two low-income, predominantly African American neighborhoods in Pittsburgh, PA. Participants reported their sociodemographic characteristics, food shopping behavior, and dietary intake. Both food shopping frequency at different types of food stores and sociodemographic characteristics showed significant associations with diet in adjusted regression models. More frequent shopping at convenience and neighborhood stores and being younger, male, without a college degree, and receiving SNAP benefits were associated with greater intake of sugar-sweetened beverages (SSBs), added sugars, and discretionary fats. Being older, male, and having a college degree were associated with greater intake of fruits and vegetables. However, while food shopping behavior and sociodemographic characteristics accounted for similar amounts of nonoverlapping variance in fruit and vegetable intake, food shopping behavior accounted for much less variance, and little unique variance, in SSBs, added sugars, and discretionary fats in models with sociodemographic characteristics. The current study reinforces the need for policies and interventions at both the environmental and individual levels to improve diet in food desert residents. Individual interventions to address food choices associated with certain sociodemographic characteristics might be particularly important for curbing intake of SSBs, added sugars, and discretionary fats.

One size doesn't fit all: cross-sectional associations between neighborhood walkability, crime and physical activity depends on age and sex of residents.

BACKGROUND: Low-income African American adults are disproportionately affected by obesity and are also least likely to engage in recommended levels of physical activity (Flegal et al. JAMA 303(3):235-41, 2010; Tucker et al. Am J Prev Med 40(4):454-61, 2011). Moderate-to-vigorous physical activity (MVPA) is an important factor for weight management and control, as well as for reducing disease risk (Andersen et al. Lancet 368(9532):299-304, 2006; Boreham and Riddoch J Sports Sci 19(12):915-29, 2001; Carson et al. PLoS One 8(8):e71417, 2013). While neighborhood greenspace and walkability have been associated with increased MVPA, evidence also suggests that living in areas with high rates of crime limits MVPA. Few studies have examined to what extent the confluence of neighborhood greenspace, walkability and crime might impact MVPA in low-income African American adults nor how associations may vary by age and sex. METHODS: In 2013 we collected self-reported data on demographics, functional limitations, objective measures of MVPA (accelerometry), neighborhood greenspace (geographic information system), and walkability (street audit) in 791 predominantly African-American adults (mean age 56 years) living in two United States (U.S.) low-income neighborhoods. We also acquired data from the City of Pittsburgh on all crime events within both neighborhoods. EXPOSURE: To examine cross-sectional associations of neighborhood-related variables (i.e., neighborhood greenspace, walkability and crime) with MVPA, we used zero-inflated negative binomial regression models. Additionally, we examined potential interactions by age (over 65 years) and sex on relationships between neighborhood variables and MVPA. RESULTS: Overall, residents engaged in very little to no MVPA regardless of where they lived. However, for women, but not men, under the age of 65 years, living in more walkable neighborhoods was associated with more time engaged in MVPA in (ß = 0.55, p = 0.007) as compared to their counterparts living in less walkable areas. Women and men age 65 years and over spent very little time participating in MVPA regardless of neighborhood walkability. Neither greenspace nor crime was associated with MVPA in age-sex subgroups. CONCLUSIONS: Neighborhood walkability may play a stronger role on MVPA than accessible greenspace or crime in low-income urban communities. Walkability may differentially impact residents depending on their age and sex, which suggests tailoring public health policy design and implementation according to neighborhood demographics to improve activity for all.

The Power of Place: Social Network Characteristics, Perceived Neighborhood Features, and Psychological Distress Among African Americans in the Historic Hill District in Pittsburgh, Pennsylvania.

African American neighborhoods have been historically targeted for urban renewal projects, which impact social composition and resident's health. The Hill District in Pittsburgh, PA is such a neighborhood. This research sought to investigate the extent to which social networks and perceived neighborhood social cohesion and safety were associated with psychological distress among residents in an African American neighborhood undergoing urban renewal, before the implementation of major neighborhood changes. Findings revealed a modest, significant inverse association between social network size and psychological distress (ß = -0.006, p < .01), even after controlling for age, employment, education, and income. Perceived neighborhood safety predicted decreased psychological distress (ß = -1.438, p < .01), but not social cohesion, which is consistent with past research. Findings suggest that social networks protect against psychological distress, but neighborhood perceptions are also paramount.

Healthy food access for urban food desert residents: examination of the food environment, food purchasing practices, diet and BMI.

OBJECTIVE: To provide a richer understanding of food access and purchasing practices among US urban food desert residents and their association with diet and BMI. DESIGN: Data on food purchasing practices, dietary intake, height and weight from the primary food shopper in randomly selected households (n 1372) were collected. Audits of all neighbourhood food stores (n 24) and the most-frequented stores outside the neighbourhood (n 16) were conducted. Aspects of food access and purchasing practices and relationships among them were examined and tests of their associations with dietary quality and BMI were conducted. SETTING: Two low-income, predominantly African-American neighbourhoods with limited access to healthy food in Pittsburgh, PA, USA. SUBJECTS: Household food shoppers. RESULTS: Only one neighbourhood outlet sold fresh produce; nearly all respondents did major food shopping outside the neighbourhood. Although the nearest full-service supermarket was an average of 2·6 km from their home, respondents shopped an average of 6·0 km from home. The average trip was by car, took approximately 2 h for the round trip, and occurred two to four times per month. Respondents spent approximately $US 37 per person per week on food. Those who made longer trips had access to cars, shopped less often and spent less money per person. Those who travelled further when they shopped had higher BMI, but most residents already shopped where healthy foods were available, and physical distance from full-service supermarkets was unrelated to weight or dietary quality. CONCLUSIONS: Improved access to healthy foods is the target of current policies meant to improve health. However, distance to the closest supermarket might not be as important as previously thought, and thus policy and interventions that focus merely on improving access may not be effective.

Community Investments and Diet-Related Outcomes: A Longitudinal Study of Residents of Two Urban Neighborhoods.

INTRODUCTION: Investments in historically oppressed neighborhoods through food retail, housing, and commercial development are hypothesized to improve residents' health, nutrition, and perceptions of their neighborhood as a place to live. Although place-based development (e.g., housing, retail, business assistance) is happening in many communities, there is little evidence of the long-term correlates of multiple investments such as health and nutrition among residents. METHODS: A quasi-experimental longitudinal study was conducted using a cohort of randomly sampled households in two low-income, predominantly African American neighborhoods in Pittsburgh, PA, with surveys assessing residents' food insecurity, perception of their neighborhood as a place to live, perception of access to healthy foods, and dietary outcomes in 2011 and seven years later (2018), with an interim assessment in 2014. Analyses conducted in 2022 compared changes among residents of one neighborhood which had 2.6 times the investments over a 7-year period with changes among residents of a socio-demographically similar neighborhood that received fewer investments. RESULTS: It was found that residents in the neighborhood receiving substantial investments demonstrated statistically significant improvements in neighborhood satisfaction (12.6% improvement compared with a 2.2% decrease) and perceived access to healthy food (52% improvement compared with 18.2% improvement), and marginally significant change in food security (14% compared with 4.8% improvement) compared with residents in the neighborhood receiving fewer investments. CONCLUSIONS: Multiple place-based investments in neighborhoods can potentially induce positive change for residents in health and nutrition outcomes.

Food Insecurity Among Aging SNAP Participants and Eligible Nonparticipants in Two Predominantly Low-Income Black Neighborhoods: Implications for SNAP Enrollment and Outreach for Older Adults.

BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) plays a critical role in alleviating poverty and food insecurity. Despite these benefits, many older Americans who are eligible for SNAP do not participate in the program. Few studies have explored household factors and food insecurity outcomes associated with nonparticipation among older Black Americans. OBJECTIVES: The study aim was to explore changes in food insecurity and related financial hardship outcomes between 2020 and 2021 among SNAP participants, eligible nonparticipants, and ineligible nonparticipants; compare reasons for not participating in SNAP; and to compare household factors associated with SNAP nonparticipation. METHODS: Longitudinal design examining data from 2020 and 2021 to assess changes in food insecurity over the course of the coronavirus disease 2019 pandemic. PARTICIPANTS/SETTING: Participants were 528 adults (aged 30 to 97 years) in households randomly selected from a listing of all residential addresses in two predominantly Black neighborhoods with lower incomes in Pittsburgh, PA, and surveyed between March to May 2020 and May to December 2021. MAIN OUTCOME MEASURES: Food security was measured using the validated 6-item US Department of Agriculture Adult Food Security Survey Module. STATISTICAL ANALYSES PERFORMED: Findings are based on a descriptive analysis of food security and related indicators. Statistical testing was performed to assess differences between SNAP participation status and individual characteristics, food security, and financial hardship using Wald F test for continuous measures and Pearson χ2 test for categorical measures. A multivariable linear model was used to assess the association of SNAP participation and eligibility status with change in food insecurity. RESULTS: In cross-sectional analyses of 2021 data, no differences were observed between SNAP participants and eligible nonparticipants for food insecurity, food bank use, mean weekly food spending per person, and difficulty paying for basics. However, with respect to changes in food insecurity over the course of the pandemic, SNAP participants experienced a greater improvement in mean food security scores between 2020 and 2021 (-0.52 reduction in mean food insecurity score or a 16% improvement in food security; P ≤ 0.05) relative to SNAP-eligible nonparticipants. Perceived ineligibility (71.3%) and perceived lack of need (23%) were the most common reasons for not participating in SNAP. CONCLUSIONS: More than one-third of SNAP participants and eligible nonparticipants experienced food insecurity and financial hardship. However, there were differences in the changes in food insecurity between these groups.

Do stigma and efficacy mediate the association between training and suicide prevention behavior among Army noncommissioned officers?

INTRODUCTION: Rates of suicide in the Active Component of the military have significantly increased since 2010, with particularly high rates among Army service members. One element of the Army's approach to suicide prevention relies on noncommissioned officers (NCOs) as gatekeepers who have regular contact with soldiers. NCOs receive suicide prevention training, but there is limited evidence that such training leads to behavior change. METHODS: We surveyed 2468 Army NCOs participating in leadership development courses to determine (a) if training on suicide prevention and soft skills (e.g., active listening) was associated with gatekeeper behavior and use of soft skills; and (b) whether that association was explained by two potential barriers, stigma and perceptions of efficacy. RESULTS: Both the number of suicide prevention training topics and soft skills trained were associated with increased gatekeeper behavior; these relationships were explained in part by lower stigma and higher efficacy for use of soft skills. The use of interactive training methods and receiving coaching after training were not associated with stigma or efficacy, though both methods were associated with more frequent use of soft skills. CONCLUSION: Results suggest that the content and format of training is important to preparing NCOs to fulfill a gatekeeper role.

Associations of Historical Redlining With BMI and Waist Circumference in Coronary Artery Risk Development in Young Adults.

Introduction: Historical maps of racialized evaluation of mortgage lending risk (i.e., redlined neighborhoods) have been linked to adverse health outcomes. Little research has examined whether living in historically redlined neighborhoods is associated with obesity, differentially by race or gender. Methods: This is a cross-sectional study to examine whether living in historically redlined neighborhoods is associated with BMI and waist circumference among Black and White adults in 1985-1986. Participants' addresses were linked to the 1930s Home Owners' Loan Corporation maps that evaluated mortgage lending risk across neighborhoods. The authors used multilevel linear regression models clustered on Census tract, adjusted for confounders to estimate main effects, and stratified, and interaction models by (1) race, (2) gender, and (3) race by gender with redlining differentially for Black versus White adults and men versus women. To better understand strata differences, they compared Census tract-level median household income across race and gender groups within Home Owners' Loan Corporation grade. Results: Black adults (n=2,103) were more likely than White adults (n=1,767) to live in historically rated hazardous areas and to have higher BMI and waist circumference. Redlining and race and redlining and gender interactions for BMI and waist circumference were statistically significant (p<0.10). However, in stratified analyses, the only statistically significant associations were among White participants. White participants living in historically rated hazardous areas had lower BMI (ß=-0.63 [95% CI= -1.11, -0.15]) and lower waist circumference (ß=-1.50 [95% CI= -2.62, -0.38]) than those living in declining areas. Within each Home Owners' Loan Corporation grade, residents in White participants' neighborhoods had higher incomes than those living in Black participants' neighborhoods (p<0.0001). The difference was largest within historically redlined areas. Covariate associations differed for men, women, Black, and White adults, explaining the difference between the interaction and the stratified models. Race by redlining interaction did not vary by gender. Conclusions: White adults may have benefitted from historical redlining, which may have reinforced neighborhood processes that generated racial inequality in BMI and waist circumference 50 years later.

Use of Electronic Cigarettes and Other Tobacco Products Among Active Component Services Members.

INTRODUCTION: e-cigarettes have been touted as a safer alternative to classic cigarettes and other combustible tobacco products. However, a growing body of evidence finds that any risk reduction associated with e-cigarette use is eliminated when individuals use "both" e-cigarettes and other tobacco products. Recent analyses from the Health Related Behaviors Survey suggest that rates of e-cigarette use are higher among active component service members than in the general population. However, little is known about the frequency and health behaviors associated with the dual use of e-cigarettes and other tobacco products among service members. DATA AND METHOD: Using data from the 2018 Health Related Behaviors Survey, this paper investigates whether active component service members who use both e-cigarettes and other tobacco products are more likely to engage in other types of substance use or negative health behaviors. RESULTS: We find that the dual use of e-cigarettes and other tobacco products is associated with poorer physical and mental health, higher rates of alcohol misuse, and higher rates of insufficient sleep. CONCLUSION: The association between the dual use of e-cigarettes and tobacco products suggests that these individuals represent an important target group for health-related resources and attention in DoD.

Multi-dimensional Profiles of Risk and Their Association with Obesity-Severity in Low-Income Black Women.

Multi-level risk factors underlie disproportionate obesity rates among Black women. Latent class analysis of multi-level risk and protective factors among low-income Black women (n = 917) in 2011 (Pittsburgh, PA). Data were collected via in-person survey, interviewer-assisted online dietary recalls, and from 2011 crime records. Multinomial logistic regression estimated cross-sectional associations between latent classes and obesity severity derived from measured anthropometry. Latent class analysis identified four groups of women according to their motivations and intentions to be healthy, socioeconomic and health burden, and neighborhood risk: Class 1 = Very high burden (n = 283), Class 2 = Health motivated, low burden, low neighborhood risk (n = 231), Class 3 = High burden and high neighborhood risk (n = 106), and Class 4 = Low burden and low neighborhood risk (n = 297). Class 3 = High burden and high neighborhood risk women had the highest severe obesity risk. Multi-level strategies may support low-income Black women women's resilience to obesity who face neighborhood-level and socioeconomic stressors.