Search

Live Well Allegheny: Lifting Wellness for African Americans (LWA2) is a coalition in Allegheny County, Pennsylvania, funded by the Centers for Disease Control and Prevention’s (CDC) Racial and Ethnic Approaches to Community Health (REACH) initiative. LWA2 consists of partner organizations addressing chronic disease prevention in six Black communities through nutrition, physical activity, and community–clinical linkage strategies. This analysis focuses on qualitative data exploring the influence of COVID-19 on coalition functioning and communities. We conducted focus groups with residents in REACH communities and collected evaluation reports from partner organizations. Three focus groups assessed awareness of and participation in the REACH initiative, feedback, and the impact of COVID-19 when applicable. An additional focus group included questions related to flu vaccine messaging and the COVID-19 vaccine. These data sources provided insight regarding how COVID-19 affected planned tasks. Evaluation team members analyzed focus groups and collated summaries as part of a larger comprehensive evaluation. Partner organizations experienced an increase in food stamp applications, delays in opening farmers’ markets, a shift to virtual preventive health programs, canceled in-person events, and programmatic interruptions that shifted long-term goals. Community resident concerns included difficulty accessing public transportation, decreased physical activity, fear of in-person interactions, and increased wait times for mental health services. Coalition members developed methods to continue functioning and sustaining program activities. Residents were able to engage differently with chronic illness prevention techniques. Reports from the ongoing analysis will be used to adapt coalition functioning.

Introduction Syndemic theory posits that poor health outcomes co-occur and amplify each other in the context of harmful conditions that must be addressed simultaneously to improve health equity. This analysis identifies perinatal syndemic factors and examine how factors are related to STI in a sample of racially diverse young pregnant women. Methods Pregnant participants (n = 61) ages 14–21 from racially diverse backgrounds were recruited from a prenatal clinic for an ongoing longitudinal study between October 2019-February 2020. Participants completed a tablet survey assessing pregnancy intention, psychosocial factors (e.g., depression, stress, partner violence, pregnancy history) and consented to provide access to their medical records for STI and clinical urine samples screened for tobacco and cannabis use. Latent class analysis (LCA) was used to examine probabilities of co-occurring Syndemic indicators. Results Half of the women were Black (52%) and primigravida (54%). Three classes were identified in the LCA, two of them reflecting syndemics related to STI from the medical record. The largest class was half Black (51%), with a high rate of STI (65%), and was characterized by factors including depressive symptoms (93%), stress (64%), and substance use (65% cannabis, 82% tobacco). Additionally, the class with the highest rates of STI (74%) also had higher rates of partner violence (48%), morning sickness (100%), and prenatal cannabis use (63%). Conclusion Findings indicate evidence of a syndemic related to increased STI. A longitudinal evaluation of syndemics in this cohort may inform appropriately tailored intervention strategies to promote perinatal health in racially diverse young pregnant populations.

Introduction In 2018, The Live Well Allegheny: Lifting Wellness for African Americans (LWA2) Initiative was developed to support six priority, Black communities in Allegheny County, Pennsylvania to address health equity in chronic disease. The LWA2 coalition members participated in ongoing anti-racism and racial equity sessions with a nationally recognized anti-racist facilitation team. The sessions included a 2-days experience in January 2020 along with follow up meetings throughout 2020. Methods Surveys were administered to understand their perceptions related to anti-racism and oppression and subsequent actions as a result of the sessions. Additionally, we conducted nine in-depth interviews with organizational partners (January -May 2020) to evaluate the overall effectiveness of the coalition and inform future activities. Results Ten participants completed the post session surveys. Seven out of 10 survey respondents felt they had a good understanding of how oppression (racism, sexism, capitalism) influenced their life and work. However, the majority indicated needing the tools to implement anti-racist strategies in their work. The in-depth interviews with organizational partners revealed that racial equity was of concern to all partners but there was variability in intentionality around racial equity as a core element of each organization’s mission, goals and subsequent actions. Discussion As a result of the interviews, coalition members developed a racial equity statement and theory of change for implementation in the coalition work and within individual organizations along with a plan for implementing an equity audit of the coalition. Coalitions of this kind should be intentional about implementing continuous strategies related to anti-racism for structural changes toward achieving racial equity in their overall work.

Background: Stress can lead to adverse physiological and psychological outcomes. Therefore, understanding stress during pregnancy provides insight into racial disparities in maternal health, particularly Black maternal health. Objectives: This study aimed to describe (1) daily exposure to self-reported stress levels during pregnancy, and (2) sources of stress among participants that identified as Black or White using data collected via ecological momentary assessment. Methods: We leveraged survey data from the Postpartum Mothers Mobile Study, a prospective longitudinal study using ecological momentary assessment data collection methods to describe patterns of stress during pregnancy. This article is descriptive and documents patterns of self-reported stress levels and sources of stress. Frequencies and percentages of stress responses were computed to describe these patterns. Results: The sample ( n = 296) was 27% Black ( n = 78) and 63% White ( n = 184). Results were based on at least one measurement of that stress level during pregnancy. A similar number of Black and White participants reported no stress during pregnancy. White (85%–95%) and Black (60%–70%) participants reported low to moderate levels of stress. Black participants (38%) and White participants (35%) reported experiencing high stress. Black and White participants reported similar sources of stress: stress from a partner, too many things to do, a baby or other children, and financial concerns. White participants reported work as a top stressor, and Black participants reported financial issues as a top source of stress. Conclusion: This study provides insight into daily exposure to stress that has implications for maternal health. We described patterns of self-reported stress and sources of stress among Black and White participants. The daily exposures to stress reported by this sample exist within a context of root causes of structural inequities in education, health care, income, wealth, and housing that must be addressed to achieve maternal health equity.

Per- and polyfluoroalkyl substances (PFAS) have been found to be associated with gestational diabetes mellitus (GDM) development, a maternal health disorder in pregnancy with negative effects that can extend beyond pregnancy. Studies that report on this association are difficult to summarize due to weak associations and wide confidence intervals. One way to advance this field is to sharpen the biologic theory on a causal pathway behind this association, and to measure it directly by way of molecular biomarkers. The aim of this review is to summarize the literature that supports a novel pathway between PFAS exposure and GDM development. Epidemiological studies demonstrate a clear association of biomarkers of thyroid hormones and glucose metabolism with GDM development. We report biologic plausibility and epidemiologic evidence that PFAS dysregulation of maternal thyroid hormones and thyrotropin (TSH) may disrupt glucose homeostasis, increasing the risk of GDM. Overall, epidemiological studies demonstrate that PFAS were positively associated with TSH and negatively with triiodothyronine (T3) and thyroxine (T4). PFAS were generally positively associated with glucose and insulin levels in pregnancy. We propose dysregulation of thyroid function and glucose metabolism may be a critical and missing component in the accurate estimation of PFAS on the risk of GDM. Supplementary Information The online version contains supplementary material available at 10.1186/s12940-021-00740-z.

This response article addresses the questions raised in “How Gentle Must Violence Against Women be in Order to not be Violent? Rethinking the Word ‘Violence; in Obstetric Settings” and concludes that naming violence is critical for describing people’s experiences of such violence and for addressing the structures and contexts that create and fuel such violence, not for judgment but for accountability and change. Impact, outcome, and, at times, processes—rather than intention—should underpin applications of the term violence; naming violence does not disempower women, but rather naming structural, systemic, and institutional violence demands acknowledgment, accountability, and responsibility for its effects on both patients and clinicians; and, finally, while the unintended consequences of using such a term may present challenges, they do not outweigh the importance of naming structural violence in health-related systems to identify practices and processes that discriminate, disempower, harm, and oppress.

Background Prior research on the relationship between sleep and attempted weight loss failed to recognize the multidimensional nature of sleep. We examined the relationship between a composite measure of sleep health and change in weight and body composition among adults in a weight loss intervention. Methods Adults (N = 125) with overweight or obesity (50.3 ± 10.6 years, 91% female, 81% white) participated in a 12-month behavioral weight loss intervention, with assessments of sleep, weight, fat mass, and fat-free mass at baseline, 6 months, and 12 months. Six sleep dimensions (regularity, satisfaction, alertness, timing, efficiency, and duration) were categorized as "good" or "poor" using questionnaires and actigraphy. A composite score was calculated by summing the number of "good" dimensions. Obstructive sleep apnea (OSA) was assessed in a subsample (n = 117), using the apnea-hypopnea index (AHI) to determine OSA severity. Linear mixed modeling was used to examine the relationships between sleep health and outcomes of percent weight, fat mass, or fat-free mass change during the subsequent 6-month interval, adjusting for age, sex, bed partner, and race; an additional model adjusted for AHI. Results Mean baseline and 6-month sleep health was 4.5 ± 1.1 and 4.5 ± 1.2, respectively. Mean weight, fat mass, and fat-free mass changes from 0 to 6 months were -9.3 ± 6.1%, -16.9 ± 13.5%, and -3.4 ± 3.4%, respectively, and 0.4 ± 4.8%, -0.3 ± 10.3%, and 0.7 ± 4.1% from 6 to 12 months. Better sleep health was associated with greater subsequent weight loss (P = 0.016) and fat loss (P = 0.006), but not fat-free mass loss (P = 0.232). Following AHI adjustment, the association between sleep health and weight loss was attenuated (P = 0.102) but remained significant with fat loss (P = 0.040). Regularity, satisfaction, timing, and efficiency were each associated with weight and/or fat loss (P ≤ 0.041). Conclusions Better sleep health was associated with greater weight and fat loss, with associations attenuated after accounting for OSA severity. Future studies should explore whether improving sleep health, OSA, or the combination improves weight loss.

Background In the United States, there are considerable racial inequities in adverse perinatal outcomes. Exposure to racism, sexism, and other forms of oppression may help explain these inequities. Objectives To describe the application of real-time data collection using ecological momentary assessment (EMA) and smartphone technology to assess exposure to stress, racism, sexism, microaggressions, and other forms of oppression. Methods The Postpartum Mothers Mobile Study (PMOMS) is an ongoing longitudinal cohort study that began recruitment in December 2017. Participants delivering at a hospital in Pittsburgh, PA are recruited by 29 weeks' gestation. Using smartphones and smart scales, participants complete daily surveys related to psychosocial, behavioural, and contextual factors and weigh themselves weekly for approximately 15 months. We provide a preliminary descriptive analysis of EMA self-reported measures of stress, racism, sexism, and microaggressions; and non-EMA measures of stress and major discrimination. Results The sample (n = 230) is 63.5% White, 24.8% Black/African American, and 7% Hispanic origin. The most commonly reported item from the Major Discrimination Scale is being unfairly fired (18.1% of the sample). Of those, 31.7% and 17.1% attribute unfair firing to their gender and race, respectively. From the random EMA measures, on average, participants report experiences of racism and sexism at least once daily, in an average 12-hour day over the 4-week period. Black participants indicate about two experiences per day of racism, and White participants indicate more than 1 per day of sexism. Mean stress levels from the EMA measures were similar to the stress measures collected at baseline. Conclusions The methods applied in PMOMS provide real-time data regarding how participants' daily experiences of stress and discrimination influence their lives. Future work will include understanding if and how these EMA measures may relate to already established measures of racism, sexism, and stress; and ultimately understanding associations with perinatal inequities.

BACKGROUND The Greater Pittsburgh Community Food Bank (GPCFB) developed the Green Grocer mobile food market to address limited access to fresh, affordable food options in local communities. GPCFB and researchers from the University of Pittsburgh established a partnership for Green Grocer implementation and evaluation, including application of geospatial techniques to help identify locations of stops for Green Grocer. OBJECTIVES We used geospatial analyses to identify locations in Allegheny County with limited food access as potential stops for the Green Grocer mobile food market. METHODS Using census, county, city, and public health data, we conducted a spatial overlay analysis based on five key metrics: poverty/income rates, Supplemental Nutrition Assistance Program (SNAP) use, obesity rates, grocery/supermarket access, and mass transit access. We first defined our base target areas by finding the intersection of tracts with high rates of poverty, SNAP use, and obesity. To obtain our final recommended target neighborhoods, we then calculated the symmetric difference between these base target areas and areas of low grocery access and transit use. RESULTS As identified from our overlay analysis, six neighborhoods became the targeted pilot sites for Green Grocer. These particular communities had higher poverty rates than Pittsburgh, Allegheny County, and Pennsylvania averages. A separate pilot evaluation was conducted after the initial sites were selected to examine additional population characteristics and to help determine any modifications to the program. CONCLUSIONS Geospatial overlay analysis identified key locations to help the GPCFB target allocation of fresh food and produce. When used in tandem with other programmatic information and processes, this data-driven approach was essential in the development and identification of distribution of resources.

Police contact may have negative psychological effects on pregnant people, and psychological stress has been linked to preterm birth (ie, birth at37 weeks' gestation). Existing knowledge of racial disparities in policing patterns and their associations with health suggest redesigning public safety policies could contribute to racial health equity.To examine the association between community-level police contact and the risk of preterm birth among White pregnant people, US-born Black pregnant people, and Black pregnant people who were born outside the US.This cross-sectional study used medical record data of 745 White individuals, 121 US-born Black individuals, and 193 Black individuals born outside the US who were Minneapolis residents and gave birth to a live singleton at a large health system between January 1 and December 31, 2016. Data were analyzed from March 2019 to October 2020.Police contact was measured at the level of the census tract where the pregnant people lived. Police incidents per capita (ie, the number of police incidents divided by the census tract population estimate) were dichotomized into high if the value was in the fourth quartile and low for the remaining three quartiles.Preterm birth status was based on the International Statistical Classification of Diseases and Related Health Problems, 10th revision, Clinical Modification (ICD-10-CM) code. Preterm infants were those with ICD-10-CM codes P07.2 and P07.3 documented in their charts.Of 1059 pregnant people (745 [70.3%] White, 121 [11.4%] US-born Black, 193 [18.2%] Black born outside the US) in the sample, 336 White individuals (45.1%) and 62 Black individuals who were born outside the US (32.1%) gave birth between the ages of 30 and 34 years, while US-born Black individuals gave birth at younger ages, with 49 (40.5%) aged 25 years or younger. The incidence of preterm birth was 6.7% for White individuals (50 pregnant people), 14.0% for US-born Black individuals (17 pregnant people), and 5.7% for Black individuals born outside the US (11 pregnant people). In areas with high police contact vs low police contact, the odds of preterm birth were 90% higher for White individuals (odds ratio [OR], 1.9; 95% CI, 1.9-2.0), 100% higher for US-born Black individuals (OR, 2.0; 95% CI, 1.8-2.2), and 10% higher for Black individuals born outside the US (OR, 1.1; 95% CI, 1.0-1.2). Secondary geospatial analysis further revealed that the proportion of Black residents in Minneapolis census tracts was correlated with the number of police incidents reported between 2012 and 2016 (P = .001).In this study, police contact was associated with preterm birth for both Black and White pregnant people. Predominantly Black neighborhoods had greater police contact than predominantly White neighborhoods, indicating that Black pregnant people were more likely to be exposed to police than White pregnant people. These findings suggest that racialized police patterns borne from a history of racism in the United States may contribute to racial disparity in preterm birth.

There are a disproportionate number of cases, hospitalizations, and deaths among Black and Latinx communities, a result of a history of structural racism and exploitation. An equity framework and approach are critical but have been lacking in the COVID-19 response, including vaccine dissemination. We provide an overview and application of remove, repair, remediate, restructure, and provide (R4P), an equity framework, in examining COVID-19 vaccine trial development and related interventions. R4P is an equity framework and tool that applies critical race theory, intersectional, and dimensionality in planning, assessment, and research for creating action to eliminate inequities.

BACKGROUND: Self-efficacy, or the perceived capability to engage in a behavior, has been shown to play an important role in adhering to weight loss treatment. Given that adherence is extremely important for successful weight loss outcomes and that sleep and self-efficacy are modifiable factors in this relationship, we examined the association between sleep and self-efficacy for adhering to the daily plan. Investigators examined whether various dimensions of sleep were associated with self-efficacy for adhering to the daily recommended lifestyle plan among participants (N=150) in a 12-month weight loss study. METHODS: This study was a secondary analysis of data from a 12-month prospective observational study that included a standard behavioral weight loss intervention. Daily assessments at the beginning of day (BOD) of self-efficacy and the previous night’s sleep were collected in real-time using ecological momentary assessment. RESULTS: The analysis included 44,613 BOD assessments. On average, participants reported sleeping for 6.93±1.28 hours, reported 1.56±3.54 awakenings, and gave low ratings for trouble sleeping (3.11±2.58;0: no trouble; 10: a lot of trouble) and mid-high ratings for sleep quality (6.45±2.09;0: poor; 10: excellent). Participants woke up feeling tired 41.7% of the time. Using linear mixed effects modeling, a better rating in each sleep dimension was associated with higher self-efficacy the following day (all p values

Racism in the United States has been cited as a key driver of racial health inequities. Racism as a public health crisis has been in the forefront, particularly with respect to state and municipal governments that have developed legislation, resolutions, and declarations. This policy brief includes a review of resolutions and declarations across the US related to Racism as a Public Health Crisis through the end of September 2020. There were 125 resolutions reviewed for content related to the history of racism, reference to racial health equity data, content related to action steps or implementation, and any accompanying funding or resources. We found that the majority of policies name racism as critical in addressing racial inequities in health with limited details about specific actions, funding, or resources.

Beer remains the greatest source of per capita alcohol consumption in the United States, and increasing market availability and consumer demand for higher alcohol has meaningful public health consequences.

Background: Behavioral interventions targeting weight loss may be affected by socio-environmental factors that influence physical activity (PA) and cardiometabolic outcomes. Purpose: To evaluate the relation of neighborhood walkability on PA levels and glucose control in a sample of adults participating in a weight loss study. Methods: Secondary analysis of a prospective observational study providing a 12-month behavioral weight loss intervention to examine lapses after intentional weight loss. Neighborhood walkability was assessed via Walk Score (0-100), PA via waist-worn ActiGraph GT3X, and blood glucose via phlebotomy. Study variables included car-dependent and walkable neighborhoods (Walk Score < vs. ≥50), prediabetes (fasting blood glucose from 100-126mg/dL) and recommended PA (moderate-to-vigorous PA [MVPA] >22 minutes/day; steps ≥7500/day). Standard descriptive and group comparative statistics were employed. Regression results are reported as adjusted odds ratios (OR) with 95% confidence intervals (CI). Results: The sample (N=112) was mostly female (90.2%), white (90.2%), well educated (75.9% with ≥4 years of college) and on average 51.5±9.8 years of age. At baseline, no differences existed between persons from car-dependent vs. walkable neighborhoods across all metrics. At 12 months, PA and glucose control were improved for the entire sample, with no differences across walkability categories. Neighborhood walkability did not predict attainment of recommended MVPA (OR=1.16, 95% CI: 0.97-1.39) or steps (OR=1.08, 95% CI: 0.90-1.30) at 12 months. However, those from walkable neighborhoods had 17% lower odds of having prediabetes compared to those from car-dependent neighborhoods (OR=0.83, 95% CI: 0.72-0.97). Conclusion: Our findings corroborate previous studies showing an inverse relation between neighborhood walkability and prediabetes. The key drivers of this association warrant further investigation in a study with a larger, more diverse sample. Disclosure J. K. Kariuki: None. J. Cheng: None. L. E. Burke: None. Z. Bizhanova: None. B. Rockette-wagner: None. B. B. Gibbs: None. S. M. Sereika: None. C. Kline: None. K. Erickson: None. D. Mendez: None. I. Pulantara: None. Funding National Heart, Lung, and Blood Institute (HL107370S to J.K.K.)

Introduction: Higher levels of residential segregation have been associated with poorer cardiometabolic health profiles among women. Still, it remains unclear whether segregation may differentially impact the development of gestational hypertension (gHTN) among an ethnically-diverse cohort of pregnant women. We used birth record data from 2003-2009 and data from the 2000 US Census to determine whether racial and economic segregation are associated with gHTN among a diverse cohort of child-bearing women in the greater Philadelphia area. Methods: We quantified racial and economic segregation using sociodemographic data from the US Census and the local Getis-Ord (Gi*) spatial statistic. The Gi* produces a spatially-weighted z-score for each census tract reflecting the degree of clustering of racially-similar neighborhoods in an area relative to the surrounding Philadelphia region. We categorized each type of segregation as low (Gi*1.96), and assigned these to each woman by her census tract of residence. Gestational hypertension was defined in the birth record data as the development of pregnancy-induced hypertension or preeclampsia. We used hierarchical generalized linear mixed effect models to obtain risk ratios and differences (per 1000 women) for the relationships between each form of residential segregation and gHTN. All models were stratified by maternal race/ethnicity, and sequentially adjusted for maternal sociodemographics, health behaviors, medical histories, and neighborhood-level characteristics. Results: Our sample consisted of 220,897 Non-Hispanic (NH) Black (26%), NH White (64%), and Hispanic (10%) women, of whom 4% developed gHTN. However, a much greater proportion of NH Black women both developed gHTN and lived in high segregation neighborhoods compared to NH Whites and Hispanics. After adjustment, NH Black women in moderate and high economic segregation areas had 16% higher risk (RR=1.16, 95% CI: 1.03-1.31) and 23% higher risk (RR=1.23, 95% CI: 1.08-1.39) of gHTN, respectively, compared to NH Black women living in low segregation areas. NH Black women in highly racially segregated neighborhoods saw an additional 9 cases of gHTN (per 1000 women) compared to NH Black women living in more racially integrated neighborhoods (RD=8.47, 95% CI: 3.14-13.80). Among NH White and Hispanic women, economic segregation was not associated with gHTN, and only marginally significant findings were observed for racial segregation. Conclusions: In our diverse sample of child-bearing women from the greater Philadelphia area, higher levels of racial and economic segregation were associated with greater risk of gHTN among NH Black women. Future work should seek to delineate the specific pathways by which neighborhoods differentially impact individual level cardiovascular health based upon race.

BACKGROUND Stress is associated with adverse birth and postpartum health outcomes. Few studies have longitudinally explored racial differences in maternal stress in a birthing population in the United States during the ongoing COVID-19 pandemic. OBJECTIVE This study aimed to do the following: (1) assess changes in reported stress before, during, and after initial emergency declarations (eg, stay-at-home orders) were in place due to the COVID-19 pandemic, and (2) assess Black-White differences in reported stress in a pregnant and postpartum population from Southwestern Pennsylvania. METHODS We leveraged data from the ongoing Postpartum Mothers Mobile Study (PMOMS), which surveys participants in real time throughout the pregnancy and postpartum periods via ecological momentary assessment (EMA) and smartphone technology. We analyzed data from a subset of PMOMS participants (n=85) who were either Black or White, and who submitted EMA responses regarding stress between November 1, 2019, and August 31, 2020, the time frame of this study. We divided data into four phases based on significant events during the COVID-19 pandemic: “pre” phase (baseline), “early” phase (first case of COVID-19 reported in United States), “during” phase (stay-at-home orders), and “post” phase (stay-at-home orders eased). We assessed mean stress levels at each phase using linear mixed-effects models and post hoc contrasts based on the models. RESULTS Overall mean stress (0=not at all to 4=a lot) during the pre phase was 0.8 for Black and White participants (range for Black participants: 0-3.9; range for White participants: 0-2.8). There was an increase of 0.3 points (t5649=5.2, Pt5649=3.1, P=.002) in the post phase compared with the pre phase (n=85). No difference was found between Black and White participants in the change in mean stress from the pre phase to the during phase (overall change predicted for the regression coefficient=–0.02, P=.87). There was a significant difference between Black and White participants in the change in mean stress from the during phase to the post phase (overall change predicted for the regression coefficient=0.4, P CONCLUSIONS There was an overall increase in mean stress levels in this subset of pregnant and postpartum participants during the same time as the emergency declarations/stay-at-home orders in the United States. Compared to baseline, mean stress levels remained elevated when stay-at-home orders eased. We found no significant difference in the mean stress levels by race. Given that stress is associated with adverse birth outcomes and postpartum health, stress induced by the ongoing COVID-19 pandemic may have adverse implications for birthing populations in the United States. INTERNATIONAL REGISTERED REPORT RR2-10.2196/13569

Geographically-explicit Ecological Momentary Assessment (GEMA), an extension of Ecological Momentary Assessment (EMA), allows to record time-stamped geographic location information for behavioural data in the every-day environments of study participants. Considering that GEMA studies are continually gaining the attention of researchers and currently there is no single approach in collecting GEMA data, in this paper, we propose and present a GEMA architecture which can be used to conduct any GEMA study based on our experience developing and maintaining the Postpartum Mothers Mobile Study (PMOMS). Our GEMA client-server architecture can be customized to meet the specific requirements of each GEMA study. Key features of our proposed GEMA architecture include: utilization of widely used smartphones to make GEMA studies practical; alleviation of the burden of activities on participants by: designing clients (mobile applications) that are very lightweight and servers that are heavyweight in terms of functionality; utilization of at least one positioning sensor to determine EMA contexts marked with locations; and communication through the Internet. We believe that our proposed GEMA architecture, with the illustrated foundation for GEMA studies in our exemplar study (PMOMS), will help researchers from any field conduct GEMA studies efficiently and effectively.

OBJECTIVE To evaluate differences in short-term perinatal outcomes between the two prominent screening strategies for gestational diabetes mellitus, the International Association of Diabetes and Pregnancy Study Groups (IADPSG) and Carpenter-Coustan. METHODS In this single-site, blinded, randomized, comparative effectiveness trial, participants received a nonfasting 50-g oral glucose tolerance test and, if less than 200 mg/dL (less than 11.1 mmol/L), were randomized to further screening with either IADPSG or Carpenter-Coustan criteria. Gestational diabetes treatment occurred per routine clinical care. The primary outcome was incidence of large-for-gestational-age (LGA) neonates. Prespecified secondary outcomes included small-for-gestational-age (SGA) neonates, cesarean birth, and neonatal and maternal composites of adverse perinatal outcomes. Assuming a 15% incidence of LGA neonates in the Carpenter-Coustan group, 782 participants provided more than 80% power to detect a 7% absolute risk reduction with the use of IADPSG; planned recruitment was 920 for anticipated attrition. RESULTS From June 2015 to February 2019, 1,016 participants were enrolled and 921 were randomized to IADPSG (n=461) or Carpenter-Coustan (n=460) groups. Gestational diabetes incidence (14.4% vs 4.5%, P

Social cognitive theory posits that observing similar others succeed (i.e., vicarious experience) can improve self-efficacy. However, there are very limited data on the utility of vicarious experience in promoting physical activity (PA). This analysis examined the association between vicarious experience and leisure-time PA (LTPA) in the Multi-Ethnic Study of Atherosclerosis (MESA).Cross-sectional analysis of MESA participants who completed exam 5. LTPA and neighborhood factors were self-reported. Neighborhood factors were converted into aesthetic, walking, and safety scores. Group comparative analyses evaluated differences in variables of interest. The relationship between vicarious experience and recommended LTPA (≥ 7.5 MET-h/week) was assessed via logistic regression. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) are reported.Participants (N = 4579) were older (69.7 ± 9.4 years), 53% female, 41% Caucasian, 26% Black, 21% Hispanic, and 12% Chinese. Those who reported vicarious experience had 45% (95% CI 1.16-1.81) greater odds of attaining recommended LTPA. Unfavorable walking score was associated with lower odds of attaining recommended LTPA (OR = 0.89, 95% CI 0.79-1.00). The aesthetic and safety scales were not associated with LTPA (OR = 1.00 [95% CI 0.89-1.13] and OR = 0.91 [95% CI 0.82-1.10], respectively).Programs exposing community-dwelling adults to peers engaging in PA could provide an effective public health approach to increase community-level PA participation.

Prenatal stress has been linked to preterm birth via inflammatory dysregulation. We conducted a cross-sectional study on female participants who delivered live, singleton infants at University of Pittsburgh Medical Center Magee Women&rsquo, s Hospital. Participants (n = 200) were stratified by cumulative risk scores using a combination of individual factors (maternal education, diabetes, hypertension, smoking, relationship status, obesity, depression) and neighborhood deprivation scores. We hypothesized that inflammatory cytokines levels differ by risk group and race. Multiplex analyses of IL-6, IL-8, IL-10, IL-13 and TNF-alpha were run. We found that Black birthing people had more risk factors for chronic stress and had lower levels of IL-6 compared to White birthing people. When stratified by risk group and race, low-risk Black birthing people had lower levels of IL-6 compared to low-risk White birthing people, and high-risk Black birthing people had lower levels of IL-8 compared to high-risk White birthing people. Higher area deprivation scores were associated with lower IL-6 levels. Our results suggest that the relationship between chronic stress and inflammatory cytokines is modified by race. We theorize that Black birthing people encounter repetitive stress due to racism and social disadvantage which may result in stress pathway desensitization and a blunted cytokine response to future stressors.

No clinical consensus regarding the optimal diagnostic approach for gestational diabetes mellitus (GDM) exists. Participants were randomized to two GDM testing criteria following a blinded non-fasting 50g glucose challenge test (GCT): Carpenter Coustan (CC) or IADPSG. GDM was diagnosed in the CC arm if the 50g GCT was > 135 mg/dL and the fasting 100g OGTT had 2 or more abnormal values. GDM was diagnosed in the IADPSG arm if the fasting 75g OGTT had one or more abnormal values; the 50g GCT was ignored for diagnosis. Participants and providers were informed whether GDM was present but blinded to all test results and which criteria were used for diagnosis. Treatment for GDM occurred per routine clinical care. We hypothesized lower rates of LGA favoring the IADPSG arm, both overall and after restricting to women without GDM. From 2015-2019, 921 women were enrolled and randomized (CC=460; IADPSG-461); however, delivery records were available for only 878 women. Baseline characteristics were similar between groups. While GDM diagnosis (14.4% vs. 4.5%, p Disclosure C.M. Scifres: None. K. Abebe: None. H. Simhan: None. P. Catalano: None. T. Costacou: None. D.M. Comer: None. S.R. Orris: None. K. Ly: None. A. Decker: None. D. Mendez: None. E. Davis: None. Funding National Institutes of Health (1R01HD079647)

Background: Social cognitive theory (SCT) postulates that observing similar others succeed (vicarious experience) can improve self-efficacy and motivate action. The utility of vicarious experience has been demonstrated in controlled laboratory and clinical settings, but its operationalization and applicability for promoting physical activity (PA) in community settings remains unknown. Characterizing vicarious experiences and other neighborhood factors that are associated with improved PA in the community could help enhance exercise self-efficacy and PA. This secondary analysis examines neighborhood factors that predict leisure-time PA during exam 5 of the Multi-Ethnic Study of Atherosclerosis (MESA). Methods: The sample included MESA subjects who participated in exam 5 (N= 4,716). Leisure-time PA was assessed using the MESA Typical Week PA Survey. Neighborhood behaviors and characteristics, including vicarious experiences (operationalized as observing others “exercise” or “walk”), perceived safety, crime, and walkability, were self-reported. Group comparative analyses were used to evaluate differences in categorical and continuous variables. The relationships between neighborhood characteristics and optimal leisure-time PA (≥10 MET-hrs/wk) were assessed using logistic regression adjusting for age, gender, race, income, body mass index (BMI), and depression, and including interactions between race, BMI and age. Adjusted odds ratios with 95% confidence intervals (CI) are reported. Results: Participants with complete data on variables of interest (n=4,417) were elderly (age 69.8 ± 9.4 yrs), predominantly female (53%), and diverse (40% white, 12% Chinese, 26% black, 22% Hispanic). Participants who saw people exercise in their neighborhood were 44% (OR 1.44, 95% CI; 1.22 - 1.69) more likely to engage in optimal leisure-time PA compared to those who did not. Observing other people walk in the neighborhood did not impact leisure-time PA (OR 0.84, 95% CI; 0.68 - 1.04). Older age, female gender, obesity, minority status, and high-risk for depression were associated with lower odds of engaging in optimal leisure-time PA controlling for vicarious experience. Race had significant interactions with BMI and age. Other neighborhood characteristics including perceived safety, crime, and walkability did not influence the association between seeing similar others engage in PA and their own engagement in PA. Conclusions: Developing PA programs that expose community-dwelling adults to their peers who engage in PA could improve exercise self-efficacy and adherence to PA guidelines.

Background: The obesity epidemic is a global concern. Standard behavioral treatment including increased physical activity, reduced energy intake, and behavioral change counseling is an effective lifestyle intervention for weight loss. Purpose: To identify distinct step count patterns among weight loss intervention participants, examine weight loss differences by trajectory group, and examine baseline factors associated with trajectory group membership. Methods: Both groups received group-based standard behavioral treatment while the experimental group received up to 30 additional, one-on-one self-efficacy enhancement sessions. Data were analyzed using group-based trajectory modeling, analysis of variance, chi-square tests, and multinomial logistic regression. Results: Participants (N = 120) were mostly female (81.8%) and white (73.6%) with a mean (SD) body mass index of 33.2 (3.8) kg/m2. Four step count trajectory groups were identified: active (>10,000 steps/day; 11.7%), somewhat active (7500–10,000 steps/day; 28.3%), low active (5000–7500 steps/day; 27.5%), and sedentary (P = .001). At baseline, lower body mass index and higher perceived health predicted membership in the better performing trajectory groups. Conclusions: Within a larger group of adults in a weight loss intervention, 4 distinct trajectory groups were identified and group membership was associated with differential weight loss.

OBJECTIVE: To examine the bidirectional relationship between weight change and obstructive sleep apnea (OSA) in the context of a behavioral weight loss intervention. PATIENTS AND METHODS: Adults who were overweight or obese (N=114) participated in a 12-month behavioral weight loss intervention from April 17, 2012, through February 9, 2015. The apnea-hypopnea index (AHI), our marker of the presence and severity of OSA, was assessed at baseline, 6 months, and 12 months. Linear mixed models evaluated the effect of weight change on AHI and the effect of OSA (AHI≥5) on subsequent weight loss. Secondary analyses evaluated the effect of OSA on intervention attendance, meeting daily calorie goals, and accelerometer-measured physical activity. RESULTS: At baseline, 52% of the sample had OSA. Adults who achieved ≥5% weight loss had an AHI reduction that was 2.1±0.9 (adjusted mean±standard error) events/h greater than those with

BACKGROUND Individual social support is positively related to physical activity participation. However, less is known about how neighborhood-level social structures relate to physical activity participation. METHODS We analyzed 2017 National Health Interview Survey data for adult participants who completed all questions on physical activity and neighborhood cohesion (N = 23,006). Each cohesion question was binary coded (cohesion or not) and used as a predictor individually and for a composite score measuring total social cohesion. We used linear regression to estimate minutes of moderate aerobic activity, and we used logistic regression to estimate the odds of meeting aerobic guidelines (≥150 min/wk), strength guidelines (≥2 d/wk of muscle strengthening exercises), or both guidelines, predicted by the 5 definitions of cohesion (composite cohesion and the 4 questions separately). Models were adjusted for sex, age, race/ethnicity, family-income-to-poverty ratio, education, nativity, language, and neighborhood tenure. RESULTS Respondents who reported having more social cohesion had 45.0 more minutes of aerobic activity and increased odds of meeting aerobic, strength, and combined guidelines (odds ratio [OR] = 1.22, OR = 1.13, and OR = 1.14, respectively; P < .01 for all). Reporting having availability of help when needed, neighbors to count on, trustworthy neighbors, and close-knit neighbors all resulted in increased odds of meeting aerobic guidelines but not increased odds for meeting strength guidelines in the latter 3 components or combined guidelines for the latter 2 components. CONCLUSIONS Having neighborhood social cohesion or select individual components of neighborhood cohesion are positively related to meeting aerobic, strength, and combined guidelines.

Objective: The purpose of this research is to use the Public Health Workforce Interests and Needs Survey to assess in greater detail state injury prevention staff perceptions of policy development and related skills and their awareness and perception of “Health in All Policies” (HiAP). Design: The Public Health Workforce Interests and Needs Survey gauged public health practitioners' perspectives on workplace environment, job satisfaction, national trends, and training needs, and gathered demographics on the workforce. This study utilizes data from the state health agency frame only, focusing solely on those permanently employed, central office staff in injury prevention. Respondents were sampled from 5 paired Health and Human Services regions. Setting/Participants: Approximately 25 000 invitations were sent to central office employees. The response rate was 46% (n = 10 246). The analysis in this article includes only injury prevention employees with programmatic roles, excluding clerical and custodial staff, providing us with a total of 97 respondents. When weighted, this resulted in a weighted population size of 365 injury prevention workers. Main Outcome Measures: The main outcome measures include demographics, responses to understanding of and skill levels related to policy development, and perceptions of HiAP public health trend. Results: State injury prevention workers reported lower policy-making skill but had an overall appreciation of the importance of policies. In general, state injury prevention workers heard of HiAP, thought there should be more emphasis on it, but did not think that HiAP would have an impact on their day-to-day work. Conclusions/Implications for Policy and Practice: Efforts are needed for all state injury prevention workers to become better skilled in policy development, implementation, and evaluation in order to become stronger injury prevention advocates and role models.

Background Stress is associated with adverse birth and postpartum health outcomes. Few studies have longitudinally explored racial differences in maternal stress in a birthing population in the United States during the ongoing COVID-19 pandemic. Objective This study aimed to do the following: (1) assess changes in reported stress before, during, and after initial emergency declarations (eg, stay-at-home orders) were in place due to the COVID-19 pandemic, and (2) assess Black-White differences in reported stress in a pregnant and postpartum population from Southwestern Pennsylvania. Methods We leveraged data from the ongoing Postpartum Mothers Mobile Study (PMOMS), which surveys participants in real time throughout the pregnancy and postpartum periods via ecological momentary assessment (EMA) and smartphone technology. We analyzed data from a subset of PMOMS participants (n=85) who were either Black or White, and who submitted EMA responses regarding stress between November 1, 2019, and August 31, 2020, the time frame of this study. We divided data into four phases based on significant events during the COVID-19 pandemic: “pre” phase (baseline), “early” phase (first case of COVID-19 reported in United States), “during” phase (stay-at-home orders), and “post” phase (stay-at-home orders eased). We assessed mean stress levels at each phase using linear mixed-effects models and post hoc contrasts based on the models. Results Overall mean stress (0=not at all to 4=a lot) during the pre phase was 0.8 for Black and White participants (range for Black participants: 0-3.9; range for White participants: 0-2.8). There was an increase of 0.3 points (t5649=5.2, P Conclusions There was an overall increase in mean stress levels in this subset of pregnant and postpartum participants during the same time as the emergency declarations/stay-at-home orders in the United States. Compared to baseline, mean stress levels remained elevated when stay-at-home orders eased. We found no significant difference in the mean stress levels by race. Given that stress is associated with adverse birth outcomes and postpartum health, stress induced by the ongoing COVID-19 pandemic may have adverse implications for birthing populations in the United States. International Registered Report Identifier (IRRID) RR2-10.2196/13569

African-Americans bear a disproportionate burden of the obesity epidemic, yet have historically been underrepresented in weight loss research. We conducted a narrative review of large (N > 75) randomized prospective clinical trials of standard behavioral treatment for weight loss that reported results in the past fifteen years (2001-2015) to: 1) determine the rates of inclusion and reported results for African-Americans, and 2) further identify strategies that may result in improved outcomes. Of the 23 trials reviewed, 69.6% of the studies met or exceeded population estimates for African-Americans in the United States. However, only 10 reported outcomes and/or considered race in the analytic approach. At 6 months, African-American participants consistently lost less weight than white participants. The use of culturally tailored intervention materials and monthly personal telephone calls were reported as factors that may have enhanced treatment response. Future behavioral weight loss trials should also increase reporting of outcomes by race.

Author(s): McLemore, Monica R; Asiodu, Ifeyinwa; Crear-Perry, Joia; Davis, Dana Ain; Drew, Michelle; Hardeman, Rachel R; Mendez, Dara D; Roberts, Lynn; Scott, Karen A

BACKGROUND There are significant racial disparities in pregnancy and postpartum health outcomes, including postpartum weight retention and cardiometabolic risk. These racial disparities are a result of a complex interplay between contextual, environmental, behavioral, and psychosocial factors. OBJECTIVE This protocol provides a description of the development and infrastructure for the Postpartum Mothers Mobile Study (PMOMS), designed to better capture women’s daily experiences and exposures from late pregnancy through 1 year postpartum. The primary aims of PMOMS are to understand the contextual, psychosocial, and behavioral factors contributing to racial disparities in postpartum weight and cardiometabolic health, with a focus on the daily experiences of stress and racism, as well as contextual forms of stress (eg, neighborhood stress and structural racism). METHODS PMOMS is a longitudinal observation study that is ancillary to an existing randomized control trial, GDM2 (Comparison of Two Screening Strategies for Gestational Diabetes). PMOMS uses an efficient and cost-effective approach for recruitment by leveraging the infrastructure of GDM2, facilitating enrollment of participants while consolidating staff support from both studies. The primary data collection method is ecological momentary assessment (EMA) and through smart technology (ie, smartphones and scales). The development of the study includes: (1) the pilot phase and development of the smartphone app; (2) feedback and further development of the app including selection of key measures; and (3) implementation, recruitment, and retention. RESULTS PMOMS aims to recruit 350 participants during pregnancy, to be followed through the first year after delivery. Recruitment and data collection started in December 2017 and are expected to continue through September 2020. Initial results are expected in December 2020. As of early May 2019, PMOMS recruited a total of 305 participants. Key strengths and features of PMOMS have included data collection via smartphone technology to reduce the burden of multiple on-site visits, low attrition rate because of participation in an ongoing trial in which women are already motivated and enrolled, high EMA survey completion and the use of EMA as a unique data collection method to understand daily experiences, and shorter than expected timeframe for enrollment because of the infrastructure of the GDM2 trial. CONCLUSIONS This protocol outlines the development of the PMOMS, one of the first published studies to use an ongoing EMA and mobile technology protocol during pregnancy and throughout 1 year postpartum to understand the health of childbearing populations and enduring racial disparities in postpartum weight and cardiometabolic health. Our findings will contribute to the improvement of data collection methods, particularly the role of EMA in capturing multiple exposures and knowledge in real time. Furthermore, the results of the study will inform future studies investigating weight and cardiometabolic health during pregnancy and the postpartum period, including how social determinants produce population disparities in these outcomes. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/13569

Background There are significant racial disparities in pregnancy and postpartum health outcomes, including postpartum weight retention and cardiometabolic risk. These racial disparities are a result of a complex interplay between contextual, environmental, behavioral, and psychosocial factors. Objective This protocol provides a description of the development and infrastructure for the Postpartum Mothers Mobile Study (PMOMS), designed to better capture women's daily experiences and exposures from late pregnancy through 1 year postpartum. The primary aims of PMOMS are to understand the contextual, psychosocial, and behavioral factors contributing to racial disparities in postpartum weight and cardiometabolic health, with a focus on the daily experiences of stress and racism, as well as contextual forms of stress (eg, neighborhood stress and structural racism). Methods PMOMS is a longitudinal observation study that is ancillary to an existing randomized control trial, GDM2 (Comparison of Two Screening Strategies for Gestational Diabetes). PMOMS uses an efficient and cost-effective approach for recruitment by leveraging the infrastructure of GDM2, facilitating enrollment of participants while consolidating staff support from both studies. The primary data collection method is ecological momentary assessment (EMA) and through smart technology (ie, smartphones and scales). The development of the study includes: (1) the pilot phase and development of the smartphone app; (2) feedback and further development of the app including selection of key measures; and (3) implementation, recruitment, and retention. Results PMOMS aims to recruit 350 participants during pregnancy, to be followed through the first year after delivery. Recruitment and data collection started in December 2017 and are expected to continue through September 2020. Initial results are expected in December 2020. As of early May 2019, PMOMS recruited a total of 305 participants. Key strengths and features of PMOMS have included data collection via smartphone technology to reduce the burden of multiple on-site visits, low attrition rate because of participation in an ongoing trial in which women are already motivated and enrolled, high EMA survey completion and the use of EMA as a unique data collection method to understand daily experiences, and shorter than expected timeframe for enrollment because of the infrastructure of the GDM2 trial. Conclusions This protocol outlines the development of the PMOMS, one of the first published studies to use an ongoing EMA and mobile technology protocol during pregnancy and throughout 1 year postpartum to understand the health of childbearing populations and enduring racial disparities in postpartum weight and cardiometabolic health. Our findings will contribute to the improvement of data collection methods, particularly the role of EMA in capturing multiple exposures and knowledge in real time. Furthermore, the results of the study will inform future studies investigating weight and cardiometabolic health during pregnancy and the postpartum period, including how social determinants produce population disparities in these outcomes. International registered report identifier (irrid) DERR1-10.2196/13569.

Introduction: Reliable and valid measures are essential in research; however, it remains unclear if self-reported sleep measures are concordant with objective measures. Purpose: To examine the associations between subjective and objective sleep duration and awakenings among adults enrolled in a behavioral weight loss study. Methods: Self-report data included responses to the questions “How many hours of sleep did you get?” and “Number of awakenings?” collected each morning by ecological momentary assessment. Objective measures included actigraphic data on sleep duration and awakenings collected for 7 days at 6 and 12 mos. Concordance between measures was examined using linear mixed models predicting self-report measures of sleep from objectively measured sleep. Results: The sample (N = 137) was 89.8% female and 81.8% white with a mean age of 51.5 ± 9.9 yrs. Based on self-report, sleep duration was 417.2 ± 77.7 min./night with 1.7 ± 1.5 awakenings. Based on actigraphy, sleep duration was 413.1 ± 79.5 min./night with 33.0 ± 14.1 awakenings. The fitted model for sleep duration yielded an estimated intercept of 197.3 min. (95% CI, 178.0, 216.6) and slope of 0.54 (95% CI, 0.49, 0.58). In the scatter plot of self-report against objective sleep (Fig 1a), the plotted points were well-scattered about the 45-degree line suggesting that self-report min. of sleep predicted objective min. of sleep. The fitted model for awakenings yielded an estimated intercept of 0.95 awakenings (95% CI, 0.66, 1.2) and slope of 0.02 (95% CI, 0.015, 0.028). In the scatter plot of self-report against objective awakenings (Fig 1b), all of the plotted points fell below the 45-degree line indicating that self-report drastically underestimated actigraphic awakenings. Conclusion: Self-reported sleep duration was a good indicator of objective sleep duration, while self-reported awakenings significantly underestimated actigraphic awakenings. Sleep is multi-dimensional and both subjective and objective measures are needed to capture its various features.

Objectives A skilled workforce is essential to advancing maternal and child health (MCH) in a rapidly changing public health system. Little is known about the MCH workforce’s existing capacity to maximize opportunities afforded by ongoing change. We assessed MCH workforce capacity in three areas: Systems Integration, Evidence-Based Decision-Making, and Change Management/Adaptive Leadership. We then examined associations between workforce capacity and modifiable workforce development strategies/resources. Methods Data are from the Public Health Workforce Interests and Needs Survey (PH WINS). The present study was limited to employees working in MCH programs (weighted N = 3062). Workforce capacity was operationalized as self-reported awareness of public health trends and proficiency to perform related skills in the three areas. Survey-weighted generalized estimating equations were used to fit logistic regression models accounting for employee clustering within states. Results While awareness of public health trends was low, the majority of employees (> 70% in each area) reported proficiency to perform skills related to these trends. Capacity was lowest in Systems Integration. Employee engagement in academic partnerships and higher state contributions to MCH program budgets were the strategies/resources most consistently associated with higher capacity. Workplace support was the strongest correlate of capacity in Change Management/Adaptive Leadership. Conclusions for Practice Although employees lacked familiarity with specific public health trends, they were proficient in skills needed to engage in related work. Still, areas for improvement remain. Results provide a baseline against which future training efforts can be evaluated. Academic partnerships and MCH program funding may be useful to prioritize in the context of health transformation.

Background Prepregnancy cardiometabolic risk factors are associated with increased risks of adverse pregnancy outcomes. Neighbourhood features may reflect prepregnancy exposures that contribute to poor cardiometabolic health before pregnancy and may contribute to racial disparities in pregnancy outcomes. Methods Early pregnancy measurements from 1504 women enrolled in the Prenatal Exposures and Preeclampsia Prevention study were linked to a 2000 Census-based measure of neighbourhood socio-economic status and commercial data (food, alcohol, and retail density) during 1997-2001. Multilevel random-intercept linear regression was used to separately estimate the association between levels of neighbourhood assets (low, mid-low, mid-high, high) and C-reactive protein (CRP), systolic blood pressure (SBP), and body mass index (BMI) in cross-sectional analyses. Low neighbourhood assets have high-poverty/low-retail, whereas high neighbourhood assets have low-poverty/high-retail. Models were adjusted for individual-level factors (age and race), and we assessed effect modification by race. Results Low compared with high neighbourhood assets were associated with higher BMI (β 1.95 kg/m2 , 95% CI 0.89, 3.00), after adjusting for individual-level covariates. After adjusting for BMI and other covariates, low compared with high assets were associated with higher CRP concentrations (β 0.20 ng/mL, 95% CI 0.01, 0.39). Neighbourhood assets were not associated with SBP. Race did not modify the association between neighbourhood assets and cardiometabolic risk factors. Conclusions Early pregnancy adiposity is related to neighbourhood features independent of individual factors. Further, inflammation beyond accounting for adiposity is related to neighbourhood features. Strategies that address neighbourhood assets during preconception and interconception may be promising approaches to improve prepregnancy health.

Introduction: Intention to engage in physical activity (PA) is an important concept in behavior change theories. However, age, body mass index (BMI), and sleep may influence one’s intention to engage in PA and intention might not predict actual activity. Purpose: This secondary analysis examined predictors of intention to engage in PA and if the factors associated with intention predicted objectively measured moderate-to-vigorous physical activity (MVPA) in adults who were overweight or obese and enrolled in a weight loss study. Methods: We used 6- and 12-mo data from the EMPOWER Study, an observational study examining triggers of lapse following intentional weight loss. Objective measures included up to 7 days of overlapping accelerometer and actigraphy data to assess daily MVPA and sleep. Self-report data included responses to the question “Do you intend to be physically active today?” hereafter called intention, collected at the beginning of each day via ecological momentary assessment. Analyses were performed examining: 1) the effects of subject-level covariates (e.g., age, sex, race, BMI) on intention, 2) the effects of objectively measured sleep characteristics (e.g., total sleep time [TST], number of awakenings, sleep fragmentation) on intention, and 3) the relationships between sleep, intention, and MVPA. Logistic regression using generalized estimating equations and linear mixed-effect models were used. Results: The analyses included 680 person-days at 6 mo and 678 person-days at 12 mo. Participants (N=136) were mostly female (89.8%) and white (81.8%) with a mean (± SD) age of 51.5 ± 9.9 years and BMI of 33.5 ± 4.6. At 6 mo, participants intended to engage in PA on 81.2% of days, had a mean TST of 408.9 ± 81.8 min/night, and a mean of 32.4 ± 14.7 awakenings/night. At 12 mo, PA intention decreased to 80.6% of days, TST increased to 416.5 ± 82.5 min/night, and awakenings increased to 34.0 ± 14.4 per night (p = .089 for TST; p = .043 for awakenings). Mean daily MVPA decreased from 19.0 ± 23.9 min at 6 mo to 17.3 ± 23.4 min at 12 mo (p = .185). Intention increased with increasing age (odds ratio [OR] = 1.04; 95% confidence interval [95% CI] = 1.02 -1.07). At 6 mo, sleep fragmentation, after adjusting for age, negatively affected intention (OR = 0.96; 95% CI = 0.94 - 0.98); however, it did not significantly affect intention at 12 mo. When comparing days with no PA intention to days in which participants intended to engage in PA, mean MVPA nearly tripled from 7.4 min (95% CI = 3.6 - 11.2) to 21.2 min (95% CI = 18.4 - 24.0). Furthermore, when controlling for age, time of assessment, and intention, participants engaged in an estimated 0.135 (95% CI = 0.241 - 0.029) fewer min of MVPA for each awakening. Conclusions: Based on these findings, future weight loss programs should include interventions that improve sleep quality by reducing fragmentation and strengthen the link between intention and engagement in PA.

Introduction: Obesity is a primary risk factor for obstructive sleep apnea (OSA), and weight loss is a common recommendation for adults with OSA. However, we previously found that adults with OSA lost less weight than those without OSA during a 12-month behavioral weight loss intervention. The potential mechanisms underlying the blunted weight loss among those with OSA are currently unclear; however, one potential explanation may be lower adherence to the intervention and its prescribed behaviors. Purpose: These analyses examined whether measures of adherence to a behavioral weight loss intervention differed between adults with and without OSA. Methods: The sample was comprised of adults who were overweight or obese (N=114; 50.4±10.5 y, body mass index [BMI]: 34.0±4.6 kg/m 2 ; 90.4% female, 82.5% white) who participated in a 12-mo behavioral weight loss intervention study. Participants wore a home sleep testing device (ResMed ApneaLink Plus) for one night at baseline (BL), 6 mo (6M), and 12 mo (12M). Those with an apnea-hypopnea index ≥ 5 were categorized as having OSA. Adherence to the intervention was assessed by: 1) attendance at group intervention sessions over 12 mo; 2) frequency of meeting daily caloric intake goals over 12 mo; 3) objectively-measured changes from BL in physical activity (steps/day, sedentary time, moderate-vigorous physical activity [MVPA]). Linear mixed models estimated the impact of OSA on these measures of intervention adherence following adjustment for sex, age, race, marital status, smoking status, and baseline BMI, while considering participant to be a random effect. Results: About half (52%) of the participants had OSA at BL, while 41 % had OSA at 6M. Attendance at group sessions did not differ between those with and without OSA over 12 mo (74.5 vs. 75.7%; P=.72). However, adults with OSA met their caloric intake goal less frequently than those without OSA (25.2 vs. 34.8%; P=.006), and adults with OSA increased their steps/day (+378.3 vs. 1060.1; P=.047) and MVPA min/day (+2.1 vs. +6.4; P=.056) less than those without OSA. Reductions in sedentary behavior (min/day) did not differ between those with and without OSA (-7.1 vs. -9.1; P=.81). Conclusions: These data suggest that the blunted weight loss observed among adults with OSA may be at least partially attributable to lower levels of adherence to prescribed goals for caloric intake and physical activity. Additional strategies (e.g., OSA screening and treatment referral, supplemental sessions on diet and MVPA) may be needed to achieve improved adherence to the lifestyle behaviors that lead to weight loss among adults with OSA.

This study examined neighborhood racial and socioeconomic disparities and the density of food and alcohol establishments. We also examined whether these disparities differed by data source. This study included commercial data for 2003 and 2009 from InfoUSA and Dun and Bradstreet (D&B) in 416 census tracts in Allegheny County, PA. Food and alcohol establishment densities were calculated by using area and population data from the 2000 US census. Differences between InfoUSA and D&B of food and alcohol densities across neighborhood racial and socioeconomic characteristics were tested using correlations and two-way mixed analysis of variance (ANOVA). There were differences by data source in the association between neighborhood racial and socioeconomic characteristics and food/alcohol establishment density. There was a positive correlation between grocery store/supermarket density and percentage black, poverty, and percentage without a car among D&B data but not in InfoUSA. Alcohol outlet density (AOD) increased as neighborhood poverty increased for both data sources, but the mean difference in AOD between InfoUSA and D&B was highest among neighborhoods with 25–50 % poverty (Cohen’s d −0.49, p