Addressing the Public Health Crisis of Maternal Mortality: A National Research Agenda.

This Viewpoint discusses the National Institutes of Health initiative that focuses on research that reduces preventable maternal mortality, decreases severe maternal morbidity, and promotes health equity.

Shift work domains and their interactions with empty calorie food/beverage consumption: A 14-day intensive longitudinal study.

BACKGROUND/OBJECTIVES: Shift work has been linked to unhealthy eating behaviors such as imbalanced diet, or increased empty calorie food/beverage consumption. However, most research has focused on the impact of shift timing. The concept of shift work is complex, and it contains several domains such as shift timing, intensity, and speed. Previous studies have suggested that greater shift intensity and quicker shift speed may contribute to adverse health effects. However, evidence regarding associations between other domains of shift work and empty calorie food/beverage consumption has been relatively lacking. Therefore, the purpose of this study was to evaluate how other shift work domains related to empty calorie food/beverage consumption and whether different shift work domains interacted to influence the intake of foods or beverages. DESIGN: A 14-day intensive longitudinal study employing ecological momentary assessment. SETTINGS AND PARTICIPANTS: Eighty registered nurses working in 24 accredited Taiwanese hospitals (i.e., 9 medical centers, 12 regional hospitals, and 3 district hospitals) were recruited. METHODS: During the study period, a convenience sample of 77 participants completed 2444 momentary surveys about empty calorie food/beverage consumption on a smartphone. Three shift work domains (shift timing, intensity, and speed) were evaluated based on registry-based work schedules. To study how these shift work domains influenced empty calorie food/beverage consumption, we employed three-level mixed-effects regression models for data analyses. RESULTS: Findings suggested that greater night shift intensity increased the likelihood of sugar-sweetened beverage intake (odds ratio = 1.64, 95% confidence interval [1.01, 2.68]). The impacts of work shift intensity and shift timing on sugar-sweetened beverage consumption varied by shift speed. Among participants assigned a schedule with either medium or rapid shift speed, higher work shift intensity was associated with a higher probability of sugar-sweetened beverage consumption. Compared to day shifts, those who were assigned a quicker shift speed on evening shifts were more likely to consume sugar-sweetened beverages. However, associations between night shift intensity and sugar-sweetened beverage intake did not change by shift speed. Furthermore, shift intensity and shift timing did not interact to affect empty calorie food/beverage consumption. CONCLUSIONS: This study demonstrated assignments of shift schedules (i.e., high night shift intensity, more changes in shift timings) might influence workers' consumption of empty calorie foods/beverages. Therefore, identifying and mitigating hazardous shift schedules may help to improve shift workers' eating behaviors and benefit their overall health.

County-level associations between food retailer availability and violent crime rate.

BACKGROUND: Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies have linked the availability and density of specific features of the retail food environment, such as convenience stores and liquor stores, to violent crime rates due to the criminal activity that often occurs in and near these retailers. Nevertheless, there continues to be limited understanding of how other features (e.g., grocery stores, supercenters, restaurants, etc.) are associated with violent crime occurrence. This study aimed to fill this gap in knowledge by examining U.S. county-level associations between food retailer availability and violent crime rate. METHODS: We analyzed 2014 data on 3108 counties from the U.S. Department of Agriculture's Food Environment Atlas and Department of Justice's Unified Crime Reporting Program. Per capita food retailer measures represented the number of stores per 10,000 county residents. Violent crime rate represented the number of police reported violent crimes per 10,000 county residents. We used spatial lag regression models to assess associations between per capita retailer availability and violent crime rate after adjusting for potential confounders (e.g., % under 18, % Black, % Hispanic, % poverty, population density, etc.). In addition, we examined stratified OLS regression models to evaluate associations by metropolitan county status. RESULTS: Adjusted spatial regression models revealed that greater supercenter availability [ß: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [ß: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. Greater availability of farmers' markets [ß: -0.42; 95% CI: -0.77 - - 0.07); p-value: 0.02] was associated with lower violent crime rate. Associations varied between metropolitan and non-metropolitan counties. Stratified OLS models revealed that greater grocery store availability was associated with lower violent crime rate among metropolitan counties only. Greater fast food restaurant availability was associated with lower violent crime rate among non-metropolitan counties only. CONCLUSIONS: Certain features of the retail food environment appear to be associated with county-level violent crime rates in America. These findings highlight the need for additional research on the influence of food retail and food landscape on violent crime occurrence at the community level.

Environmental data and methods from the Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) core measures environmental working group.

This article describes geospatial datasets and exemplary data across five environmental domains (walkability, socioeconomic deprivation, urbanicity, personal safety, and food outlet accessibility). The environmental domain is one of four domains (behavioral, biological, environmental and psychosocial) in which the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project suggested measures to help explain variation in responses to weight loss interventions. These data are intended to facilitate additional research on potential environmental moderators of responses to weight loss, physical activity, or diet related interventions. These data represent a mix of publicly and commercially available pre-existing data that were downloaded, cleaned, restructured and analyzed to create datasets at the United States (U.S.) block group and/or census tract level for the five domains. Additionally, the resource includes detailed methods for obtaining, cleaning and summarizing two datasets concerning safety and the food environment that are only available commercially. Across the five domains considered, we include component as well as derived variables for three of the five domains. There are two versions of the National Walkability Index Dataset (one based on 2013 data and one on 2019 data) consisting of 15 variables. The Neighborhood Deprivation Index dataset contains 18 variables and is based on the US Census Bureau's 5-year American Community Survey (ACS) data for 2013-2017. The urbanicity dataset contains 11 variables and is based on USDA rural-urban commuting (RUCA) codes and Census Bureau urban/rural population data from 2010. Personal safety and food outlet accessibility data were purchased through commercial vendors and are not in the public domain. Thus, only exemplary figures and detailed instructions are provided. The website housing these datasets and examples should serve as a valuable resource for researchers who wish to examine potential environmental moderators of responses to weight loss and related interventions in the U.S.

Active living-oriented zoning codes and cardiometabolic conditions across the lifespan.

Environments that make it easier for people to incorporate physical activity into their daily life may help to reduce high rates of cardiometabolic conditions. Local zoning codes are a policy and planning tool to create more walkable and bikeable environments. This study evaluated relationships between active living-oriented zoning code environments and cardiometabolic conditions (body mass index, hyperlipidemia, hypertension). The study used county identifiers to link electronic health record and other administrative data for a sample of patients utilizing primary care services between 2012 and 2016 with county-aggregated zoning code data and built environment data. The analytic sample included 7,441,991 patients living in 292 counties in 44 states. Latent class analysis was used to summarize municipal- and unincorporated county-level data on seven zoning provisions (e.g., sidewalks, trails, street connectivity, mixed land use), resulting in classes that differed in strength of the zoning provisions. Based on the probability of class membership, counties were categorized as one of four classes. Linear and logistic regression models estimated cross-sectional associations with each cardiometabolic condition. Models were fit separately for youth (aged 5-19), adults (aged 20-59), and older adults (aged 60+). Little evidence was found that body mass index in youth, adults, or older adults or the odds of hyperlipidemia or hypertension in adults or older adults differed according to the strength of active living-oriented zoning. More research is needed to identify the health impacts of zoning codes and whether alterations to these codes would improve population health over the long term.

Observed physical activity among Latinx and White men and women on a new urban trail.

OBJECTIVE: Despite efforts to increase physical activity through new green space infrastructure such as trails, disparities in physical activity may persist. The current study compared observed vigorous physical activity (VPA) engagement among White and Latinx men and women on a new urban trail, and whether engagement varied over time. DESIGN, SAMPLE, AND MEASURES: We used a modified System for Observing Play and Recreation in Communities (SOPARC) methodology to determine observed race/ethnicity, gender, and physical activity level of trail users (n = 15,109). RESULTS: Logistic regression analyses revealed the odds of engaging in VPA were lower for Latina women than all other population subgroups (vs. White men: OR 0.19, CI 0.17-0.22; vs. White women: OR 0.48, CI 0.42-0.54, vs. Latino men: OR 0.23, CI 0.19-0.26). VPA engagement by White and Latina women increased across the study years (OR 1.31, CI 1.17-1.46; OR 1.36, CI 1.08-1.71, respectively) but did not differ significantly by year for White and Latino men. CONCLUSION: Future efforts to address racial/ethnic-gender disparities in VPA should take an intersectional approach to ensure that the needs of the most vulnerable population subgroups are properly accounted for.

The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study.

BACKGROUND: As poor diet quality is a significant risk factor for multiple noncommunicable diseases prevalent in the United States, it is important that methods be developed to accurately capture eating behavior data. There is growing interest in the use of ecological momentary assessments to collect data on health behaviors and their predictors on a micro timescale (at different points within or across days); however, documenting eating behaviors remains a challenge. OBJECTIVE: This pilot study (N=48) aims to examine the feasibility-usability and acceptability-of using smartphone-captured and crowdsource-labeled images to document eating behaviors in real time. METHODS: Participants completed the Block Fat/Sugar/Fruit/Vegetable Screener to provide a measure of their typical eating behavior, then took pictures of their meals and snacks and answered brief survey questions for 7 consecutive days using a commercially available smartphone app. Participant acceptability was determined through a questionnaire regarding their experiences administered at the end of the study. The images of meals and snacks were uploaded to Amazon Mechanical Turk (MTurk), a crowdsourcing distributed human intelligence platform, where 2 Workers assigned a count of food categories to the images (fruits, vegetables, salty snacks, and sweet snacks). The agreement among MTurk Workers was assessed, and weekly food counts were calculated and compared with the Screener responses. RESULTS: Participants reported little difficulty in uploading photographs and remembered to take photographs most of the time. Crowdsource-labeled images (n=1014) showed moderate agreement between the MTurk Worker responses for vegetables (688/1014, 67.85%) and high agreement for all other food categories (871/1014, 85.89% for fruits; 847/1014, 83.53% for salty snacks, and 833/1014, 81.15% for sweet snacks). There were no significant differences in weekly food consumption between the food images and the Block Screener, suggesting that this approach may measure typical eating behaviors as accurately as traditional methods, with lesser burden on participants. CONCLUSIONS: Our approach offers a potentially time-efficient and cost-effective strategy for capturing eating events in real time.

Examining changes to food and beverage availability and marketing in a low-income community after the opening of a new supermarket.

OBJECTIVE: In 2016, a Whole Foods Market© opened in the Englewood community of Chicago, IL - a predominately low-income African American community. This study aimed to examine changes to food and beverage availability and marketing in Englewood's existing food stores after the opening of this supermarket. DESIGN: Quasi-experimental study. SETTING: Two low-income African American communities in Chicago, IL. PARTICIPANTS: Fieldworkers audited all small grocery and limited service stores (e.g. convenience stores, liquor stores and dollar/discount stores) located within one-square mile of the new supermarket and a one-square mile area of a demographically comparable community that also lacked a supermarket. Stores were audited before (2016) and after (2017 and 2018) the supermarket opened. RESULTS: Of the 78 stores audited at baseline, 71·8 % were limited service stores and 85·9 % accepted Supplemental Nutrition Assistance Program (SNAP) benefits. Overall, the availability of healthy food and beverage options in nearby small stores was low at baseline and both follow-up periods. Difference-in-difference regression models revealed a significant increase in: (1) the percentage of stores in the intervention community (i.e. Englewood) offering regular cheese and promoting salty snacks at check-out from 2016 to 2017; and (2) the percentage of stores in the comparison community with interior store promotions for other sweetened beverages from 2016 to 2018. CONCLUSIONS: Minimal changes in food and beverage availability and marketing occurred 1 and 2 years after the opening of a new supermarket. However, the wide range of staple food items offered by the supermarket expanded healthy food retail in Chicago's Englewood community.

Access to pharmacies and pharmacy services in New York City, Los Angeles, Chicago, and Houston, 2015-2020.

BACKGROUND: Despite the importance of pharmacies in ensuring medications and health care needs are met, there is limited up-to-date information regarding access to pharmacies or their services in the United States. OBJECTIVES: To evaluate trends and disparities in access to pharmacies in 4 largest cities in the United States, New York City, Los Angeles, Houston, and Chicago, by neighborhood racial and ethnic composition from 2015 to 2020. METHODS: Data from the National Council for Prescription Drug Programs (2015-2020) and the American Community Survey (2015-2019) were used. We examined neighborhoods (i.e., census tracts) and evaluated disparities in "pharmacy deserts" (low-income neighborhoods (1) whose average distance to the nearest pharmacy was at least 1 mile or (2) whose average distance to the nearest pharmacy was at least 0.5 mile and at least 100 households had no vehicle access). We also evaluated the differences in pharmacy closures and the availability of pharmacy services. RESULTS: From 2015 to 2020, the percent of neighborhoods with pharmacy deserts declined in New York City (from 1.6% to 0.9% of neighborhoods, P < 0.01), remained stable in Los Angeles (13.7% to 13.4%, P = 0.58) and Houston (27.0% to 28.5%, P = 0.18), and increased in Chicago (15.0% to 19.9%, P < 0.01). Pharmacy deserts were persistently more common in Black and Latino neighborhoods in all 4 cities. As of 2020, pharmacies in Black and Latino neighborhoods were also more likely to close and less likely to offer immunization, 24-hour, and drive-through services than pharmacies in other neighborhoods. CONCLUSION: To reduce disparities in access to medications and health care services, including those in response to the coronavirus disease 2019 pandemic (e.g., testing and vaccinations), policies that improve pharmacy access and expand the provision of pharmacy services in minority neighborhoods are critical.

Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study.

BACKGROUND: Innovative analyses of cardiovascular (CV) risk markers and health behaviors linked to neighborhood stressors are essential to further elucidate the mechanisms by which adverse neighborhood social conditions lead to poor CV outcomes. We propose to objectively measure physical activity (PA), sedentary behavior, and neighborhood stress using accelerometers, GPS, and real-time perceived ecological momentary assessment via smartphone apps and to link these to biological measures in a sample of White and African American women in Washington, DC, neighborhoods. OBJECTIVE: The primary aim of this study is to test the hypothesis that living in adverse neighborhood social conditions is associated with higher stress-related neural activity among 60 healthy women living in high or low socioeconomic status neighborhoods in Washington, DC. Sub-aim 1 of this study is to test the hypothesis that the association is moderated by objectively measured PA using an accelerometer. A secondary objective is to test the hypothesis that residing in adverse neighborhood social environment conditions is related to differences in vascular function. Sub-aim 2 of this study is to test the hypothesis that the association is moderated by objectively measured PA. The third aim of this study is to test the hypothesis that adverse neighborhood social environment conditions are related to differences in immune system activation. METHODS: The proposed study will be cross-sectional, with a sample of at least 60 women (30 healthy White women and 30 healthy Black women) from Wards 3 and 5 in Washington, DC. A sample of the women (n=30) will be recruited from high-income areas in Ward 3 from census tracts within a 15% of Ward 3's range for median household income. The other participants (n=30) will be recruited from low-income areas in Wards 5 from census tracts within a 15% of Ward 5's range for median household income. Finally, participants from Wards 3 and 5 will be matched based on age, race, and BMI. Participants will wear a GPS unit and accelerometer and report their stress and mood in real time using a smartphone. We will then examine the associations between GPS-derived neighborhood variables, stress-related neural activity measures, and adverse biological markers. RESULTS: The National Institutes of Health Institutional Review Board has approved this study. Recruitment will begin in the summer of 2021. CONCLUSIONS: Findings from this research could inform the development of multilevel behavioral interventions and policies to better manage environmental factors that promote immune system activation or psychosocial stress while concurrently working to increase PA, thereby influencing CV health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/29191.

Fewer Pharmacies In Black And Hispanic/Latino Neighborhoods Compared With White Or Diverse Neighborhoods, 2007-15.

The accessibility of pharmacies may be an overlooked contributor to persistent racial and ethnic disparities in the use of prescription medications and essential health care services within urban areas in the US. We examined the availability and geographic accessibility of pharmacies across neighborhoods based on their racial/ethnic composition in the thirty most populous US cities. In all cities examined, we found persistently fewer pharmacies located in Black and Hispanic/Latino neighborhoods than White or diverse neighborhoods throughout 2007-15. In 2015 there were disproportionately more pharmacy deserts in Black or Hispanic/Latino neighborhoods than in White or diverse neighborhoods, including those that are not federally designated Medically Underserved Areas. These disparities were most pronounced in Chicago, Illinois; Los Angeles, California; Baltimore, Maryland; Philadelphia, Pennsylvania; Milwaukee, Wisconsin; Dallas, Texas; Boston, Massachusetts; and Albuquerque, New Mexico. We also found that Black and Hispanic/Latino neighborhoods were more likely to experience pharmacy closures compared with other neighborhoods. Our findings suggest that efforts to increase access to medications and essential health care services, including in response to COVID-19, should consider policies that ensure equitable pharmacy accessibility across neighborhoods in US cities. Such efforts could include policies that encourage pharmacies to locate in pharmacy deserts, including increases to Medicaid and Medicare reimbursement rates for pharmacies most at risk for closure.

Associations between Daily Work Hassles and Energy-Balance Behaviors in Female African American Workers: An Ecological Momentary Assessment Study.

Objective: Despite their high rate of labor force participation, African American women earn less and are overrepresented in service jobs that tend to have fewer benefits, longer work hours, and less flexibility. The aim of our study was to examine associations between work-related daily hassles and energy balance behaviors among female African American workers. Design: A secondary analysis of a 7-day intensive longitudinal study using ecological momentary assessment (EMA). Setting: Metropolitan area of Chicago, Illinois, United States; July 2012 through January 2013. Participants: A convenience sample of 70 female African American workers. Methods: EMA was used to collect information over seven days on work hassles and energy balance behaviors: empty calorie food intake; moderate-to-vigorous physical activity (MVPA); sedentary behavior; sleep duration; and sleep disturbance. Within-person associations between daily work hassles and each of these daily energy balance behaviors were analyzed using person fixed-effects regression. Results: A total of 334 person-day observations from 70 female African American workers were included in the final analysis. Reporting at least one daily work hassle was associated with same-day higher empty calorie food intake (OR: 2.2, 95% CI: 1.0, 4.6) and more daily minutes of sedentary behavior (b: 35.8, 95% CI; .2, 71.3). However, no significant associations were found between prior-day work hassles and either food intake or sedentary behavior. Daily work hassles were not related to MVPA, sleep duration, or sleep disturbance. Conclusions: Our study showed that daily work hassles were associated with female African American workers' empty calorie food intake and sedentary behaviors. Strategies to eliminate daily work hassles may help to improve their energy balance behaviors.

No long-term store marketing changes following sugar-sweetened beverage tax implementation: Oakland, California.

Globally, more than 45 countries have implemented sugar-sweetened beverage (SSB) taxes; however, little is known about effects on marketing practices. For the 2017 Oakland, California, 1 cent per ounce SSB tax, this study evaluated long-term changes in beverage price promotions, depth of sale, and interior and exterior advertising at stores, collected via in-person audits at two time points (pre-tax and 24-months post-tax). Overall, based on difference-in-differences estimation, relative to the comparison site, no significant pre-post tax changes were found in the odds of price promotions, exterior or interior advertising, or sale depth for SSBs or untaxed beverages. As additional SSB taxes are considered these findings suggest that SSB taxes may not have long-term effects on store marketing practices.

Racial/ethnic and educational differences in perceptions and use of a new urban trail.

ABSTRACTObjectives: Obesity and its associated health risks are on the rise throughout the US due, in part, to an overall decline in physical activity. Although public green spaces, and in particular trails, show promise as population-level interventions to promote physical activity among adults, these amenities may have disparate impacts across racial/ethnic and socioeconomic groups within a community.Design: This cross-sectional study employed an intercept survey of users of a newly opened $95 million rail-to-trail development in Chicago, IL, immediately after its opening and one year later to examine differences by race/ethnicity and educational attainment in trail use behaviors, motivations for trail use, safety concerns, and change in physical activity attributed to the trail.Results: Although the overall impact of the trail was positive, Latino users were more likely to report frequent use (4+ times/week), health motivations for using the trail, and increased physical activity attributed to the trail. However, Latino users were also more likely to indicate safety concerns and less likely to use areas of the trail in predominately white communities, even after controlling for community of residence. The least educated trail users frequented fewer trail areas and were less likely to indicate health motivations for trail use.Conclusions: Although urban trails represent an opportunity for cost-effective community-wide health promotion, they may not benefit all groups equally. Urban trails may have particularly promising benefits for Latino users, but safety concerns and the possibility of community racial segregation being replicated on trails should be addressed to maximize and sustain these benefits. Less educated residents in particular may not benefit from such projects as intended.

Development of a Predictive Algorithm to Identify Adults With Mobility Limitations Using VA Health Care Administrative Data.

An estimated 31.5 million Americans have a mobility limitation. Health care administrative data could be a valuable resource for research on this population but methods for cohort identification are lacking. We developed and tested an algorithm to reliably identify adults with mobility limitation in U.S. Department of Veterans Affairs health care data. We linked diagnosis, encounter, durable medical equipment, and demographic data for 964 veterans to their self-reported mobility limitation from the Medicare Current Beneficiary Survey. We evaluated performance of logistic regression models in classifying mobility limitation. The binary approach (yes/no limitation) had good sensitivity (70%) and specificity (79%), whereas the multilevel approach did not perform well. The algorithms for predicting a binary mobility limitation outcome performed well at discriminating between veterans who did and did not have mobility limitation. Future work should focus on multilevel approaches to predicting mobility limitation and samples with greater proportions of women and younger adults.

Did Playground Renovations Equitably Benefit Neighborhoods in Chicago?

Between 2013 and 2016, the Chicago Park District renovated 327 playgrounds in need of repair across Chicago through a $44 million investment. This study evaluated whether short-term and longer-term impacts of renovations on park use and park-based moderate-to-vigorous physical activity (MVPA) differed by neighborhood income level and neighborhood concentration of Black residents. A total of 39 parks with renovated playgrounds and 39 matched comparison parks with playgrounds that needed repair but not selected for renovation in year 1 were studied. Three waves of observational data were collected at each park: baseline, 12 months post-renovation, and 24 months post-renovation. Difference-in-differences mixed-effects Poisson regression models estimated renovation effects. The effects of renovations differed by the income level and concentration of Black residents in the neighborhoods where parks were located. In low-income neighborhoods, renovations were associated with reductions in park use and park-based MVPA over the longer term. In contrast, renovations were associated with short- and longer-term increases in park use and park-based MVPA in medium-income neighborhoods and with longer-term increases in MVPA in high-income neighborhoods. Renovations were generally not associated with any changes in park use or park-based MVPA in high-percent Black neighborhoods, but they were associated with increased park use and park-based MVPA in low-percent Black neighborhoods. This study suggests playground renovations in Chicago may have had unintended consequences, increasing neighborhood income and racial disparities in park use and park-based MVPA. Future playground renovation efforts may need to allocate more resources for renovating the broader park where in disrepair, more intensely involve neighborhood residents, and employ complementary strategies such as additional park programming to ensure renovations benefit all neighborhoods.

A Model Depicting the Retail Food Environment and Customer Interactions: Components, Outcomes, and Future Directions.

The retail food environment (RFE) has important implications for dietary intake and health, and dramatic changes in RFEs have been observed over the past few decades and years. Prior conceptual models of the RFE and its relationships with health and behavior have played an important role in guiding research; yet, the convergence of RFE changes and scientific advances in the field suggest the time is ripe to revisit this conceptualization. In this paper, we propose the Retail Food Environment and Customer Interaction Model to convey the evolving variety of factors and relationships that convene to influence food choice at the point of purchase. The model details specific components of the RFE, including business approaches, actors, sources, and the customer retail experience; describes individual, interpersonal, and household characteristics that affect customer purchasing; highlights the macro-level contexts (e.g., communities and nations) in which the RFE and customers behave; and addresses the wide-ranging outcomes produced by RFEs and customers, including: population health, food security, food justice, environmental sustainability, and business sustainability. We believe the proposed conceptualization helps to (1) provide broad implications for future research and (2) further highlight the need for transdisciplinary collaborations to ultimately improve a range of critical population outcomes.