Faculty Bibliography

INTRODUCTION/UNASSIGNED:A lack of coordinated federal guidance led to substantial heterogeneity in local COVID-19 policies across US states and counties. Local government policies may have contributed to increases in anxiety and mental health disparities during the COVID-19 pandemic. METHODS/UNASSIGNED:We analysed associations between composite policy scores for containment and closure, public health or economic support from the US COVID-19 County Policy Database and self-reported anxiety scores (Generalised Anxiety Disorder-7) from COVID-19 Citizen Science participants between 22 April 2020 and 31 December 2021. RESULTS/UNASSIGNED:In 188 976 surveys from 36 711 participants in 100 counties across 28 states, associations between anxiety and containment and closure policy differed by employment (p<0.0001), with elevated anxiety under maximal policy for people working in hospitality and food services (+1.05 vs no policy; 95% CI: 0.45, 1.64) or arts and entertainment (+0.56; 95% CI 0.15, 0.97) and lower anxiety for people working in healthcare (-0.43; 95% CI -0.66 to -0.20) after adjusting for calendar time, county-specific effects and COVID-19 case rates and death rates. For public health policy, associations differed by race and ethnicity (p=0.0016), with elevated anxiety under maximal policy among participants identifying as non-Hispanic Black (+1.71; 95% CI 0.26, 3.16) or non-Hispanic Asian (+0.74; 95% CI 0.05, 1.43) and lower anxiety among Hispanic participants (-0.63, 95% CI -1.26 to -0.006). Associations with public health policy also differed by gender (p<0.0001), with higher anxiety scores under maximal policy for male participants (+0.42, 95% CI 0.09, 0.75) and lower anxiety for female participants (-0.40, 95% CI -0.67 to -0.13). There were no significant differential associations between economic support policy and sociodemographic subgroups. CONCLUSIONS/UNASSIGNED:Associations between local COVID-19 policies and anxiety varied substantially by sociodemographic characteristics. More comprehensive containment policies were associated with elevated anxiety among people working in strongly affected sectors, and more comprehensive public health policies were associated with elevated anxiety among people vulnerable to racial discrimination.

BACKGROUND:The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS:Eligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION/CONCLUSIONS:The DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT05046886. Registered on September 16, 2021.

PURPOSE/OBJECTIVE:This study estimated the prevalence of and factors associated with secondhand smoke (SHS) exposure, and assessed attitudes and knowledge about SHS among pregnant women in Cairo, Egypt. METHODS:Pregnant women in the third trimester were recruited to participate in a survey assessing tobacco smoking and SHS exposure during their current pregnancy. Participants were recruited from three antenatal clinics in Cairo, Egypt, from June 2015 to May 2016. We examined differences in sociodemographic characteristics and SHS exposure, attitudes, and knowledge by smoking/SHS status. We used multivariable ordinary least squares regression to examine the association between husbands' smoking and pregnant women's mean daily hours of SHS exposure, adjusting for women's smoking status, age group, education, and urban (vs. suburban/rural) residence. RESULTS:Of two hundred pregnant women aged 16-37 years, about two-thirds (69%) had a husband who smoked tobacco. During their current pregnancy, most women reported being non-smokers (71%), and 38% of non-smokers reported being SHS-exposed. Non-smokers exposed to SHS tended to live in more rural areas and have husbands who smoked in the home. In adjusted analyses, having a husband who smoked was significantly associated with a greater mean number of hours of SHS exposure per day exposed, and this difference was driven by husbands who smoked in the home (p < 0.001). Women in the SHS-exposed group were less likely than other groups to agree that SHS exposure was harmful to their own or their future child's health; however, all groups agreed that SHS was harmful to newborn health. CONCLUSION/CONCLUSIONS:Among our sample of pregnant women in Cairo, Egypt, there was a high rate of SHS exposure as well as misconceptions about the safety of SHS exposure to a developing fetus. Our findings suggest a need for targeted education and gender-sensitive messaging about SHS exposure, along with improved enforcement of existing tobacco control policies.

BACKGROUND:Although racial and ethnic differences in CPAP adherence for OSA are widely established, no studies have examined the influence of perceived racial discrimination on CPAP usage, to our knowledge. RESEARCH QUESTION/OBJECTIVE:(1) Do Black adults with OSA report experiencing greater amounts of discrimination than non-Hispanic White adults? (2) Is discrimination associated with poorer CPAP adherence over time, independent of self-identified race? (3) Does discrimination mediate the relationship between self-identified Black race and CPAP usage? STUDY DESIGN AND METHODS/METHODS:/Fisher exact test, as appropriate. A linear regression model was completed with self-identified Black race and EDS total score as the primary independent variables of interest and mean daily CPAP usage at 30 and 90 days serving as the dependent outcomes. This regression modeling was repeated after adjusting for psychosocial variables known to be associated with CPAP usage. EDS total score was explored as a potential mediator of the association between self-identified Black race and mean daily CPAP adherence at 30 and 90 days. RESULTS:The sample for this analysis consisted of 78 participants (31% female, 38% Black) with a mean age of 57 ± 14 years. Sixty percent of the Black adults reported they experienced racial discrimination at least a few times each year. Relative to White adults, Black adults were also more likely to indicate more than one reason for discrimination (27% vs 4%, P = .003). Adjusting for discrimination, self-identified Black race was associated with 1.4 (95% CI, -2.3 to -0.4 h; P = .006) and 1.6 (95% CI, -2.6 to -0.6 h; P = .003) fewer hours of mean daily CPAP usage at 30 and 90 days, respectively. In the fully adjusted model, a 1-unit change in the total discrimination score (more discrimination) was associated with a 0.08-h (95% CI, 0.01-0.15 h; P = .029) and 0.08-h (95% CI, 0.01-0.16 h; P = .045) change in mean daily CPAP usage at 30 and 90 days, respectively. INTERPRETATION/CONCLUSIONS:Adults with OSA who encountered racial discrimination experienced greater decrement in CPAP usage than those who did not experience racial discrimination.

BACKGROUND:The relationship between perceived social support and continuous positive airway pressure remains understudied among individuals with obstructive sleep apnea. The aim of this prospective cohort study was to determine if baseline perceived social support and subtypes predict regular continuous positive airway pressure use after 1month of therapy. METHODS:Adults with obstructive sleep apnea initiating continuous positive airway pressure therapy were recruited from sleep clinics in New York City. Demographics, medical history, and comorbidities were obtained from patient interview and review of medical records. Objective continuous positive airway pressure adherence data was collected at the first clinical follow-up. RESULTS:Seventy-five participants (32% female; non-Hispanic Black 41%; mean age of 56 ± 14years) provided data. In adjusted analyses, poorer levels of overall social support, and subtypes including informational/emotional support, and positive social interactions were associated with lower continuous positive airway pressure use at 1month. Relative to patients reporting higher levels of support, participants endorsing lower levels of overall social support, positive social interaction and emotional/informational support had 1.6 hours (95% CI: 0.5,2.7, hours; p = .007), 1.3 hours (95% CI: 0.2,2.4; p = .026), and 1.2 hours (95% CI: 0.05,2.4; p = .041) lower mean daily continuous positive airway pressure use at 1month, respectively. CONCLUSION/CONCLUSIONS:Focusing on social support overall and positive social interaction particularly, could be an effective approach to improve continuous positive airway pressure adherence in patients at risk of suboptimal adherence.

Research has linked spatial concentrations of incarceration with racial disparities in adverse birth outcomes. However, little is known about the specific mechanisms of this association. This represents an important knowledge gap in terms of intervention. We theorize two pathways that may account for the association between county-level prison rates and adverse birth outcomes: (1) community-level mental distress and (2) reduced health care access. Examining these mechanisms, we conducted a cross-sectional study of county-level prison rates, community-level mental distress, health insurance, availability of primary care physicians (PCP) and mental health providers (MHP), and adverse birth outcomes (preterm birth, low birth weight, infant mortality). Our data set included 475 counties and represented 2,677,840 live U.S. births in 2016. Main analyses involved between 170 and 326 counties. All data came from publicly available sources, including the U.S. Census and the Centers for Disease Control and Prevention. Descriptive and regression results confirmed the link between prison rates and adverse birth outcomes and highlighted Black-White inequities in this association. Further, bootstrap mediation analyses indicated that the impact of spatially concentrated prison rates on preterm birth was mediated by PCP, MHP, community-level mental distress, and health insurance in both crude and adjusted models. Community-level mental distress and health insurance (but not PCP or MHP) similarly mediated low birthweight in both models. Mediators were less stable in the effect on infant mortality with only MHP mediating consistently across models. We conclude that mass incarceration, health care access, and community mental distress represent actionable and urgent targets for structural-, community-, and individual-level interventions targeting population inequities in birth outcomes.

Racial and ethnically minoritized and under-resourced populations do not reap the same benefits of sufficient sleep as their white counterparts resulting in insufficient sleep and sleep health disparities. Research exploring these disparities have documented a plethora of factors including social determinants of health, community violence, and structural issues - all of which are associated with adverse sleep. There are robust evidence base behavioral intervention that can be leveraged to improve sleep health among racial and ethnic groups. However, EBIs are not well leveraged. In 2021, with participation from members of the society of behavioral sleep medicine, we conducted this report to bring together the field of behavioral sleep medicine including researchers, clinicians and trainees to discuss gaps and opportunities at the intersection of the COVID-19 pandemic, systemic racism, and sleep health. The goals were anchored around seven recommendations toward reducing disparities in the near-term and longer-term approaches to eliminating disparities. Furthermore, we acknowledge that reducing and eliminating disparities in sleep health requires a multifaceted approach that includes a focus on individual, community, health care and societal levels of influence with participation from diverse partners including federal, state and local.

BACKGROUND:Recent studies have demonstrated considerable interindividual variability in postprandial glucose response (PPGR) to the same foods, suggesting the need for more precise methods for predicting and controlling PPGR. In the Personal Nutrition Project, the investigators tested a precision nutrition algorithm for predicting an individual's PPGR. OBJECTIVE:This study aimed to compare changes in glycemic variability (GV) and HbA1c in 2 calorie-restricted weight loss diets in adults with prediabetes or moderately controlled type 2 diabetes (T2D), which were tertiary outcomes of the Personal Diet Study. METHODS:The Personal Diet Study was a randomized clinical trial to compare a 1-size-fits-all low-fat diet (hereafter, standardized) with a personalized diet (hereafter, personalized). Both groups received behavioral weight loss counseling and were instructed to self-monitor diets using a smartphone application. The personalized arm received personalized feedback through the application to reduce their PPGR. Continuous glucose monitoring (CGM) data were collected at baseline, 3 mo and 6 mo. Changes in mean amplitude of glycemic excursions (MAGEs) and HbA1c at 6 mo were assessed. We performed an intention-to-treat analysis using linear mixed regressions. RESULTS:We included 156 participants [66.5% women, 55.7% White, 24.1% Black, mean age 59.1 y (standard deviation (SD) = 10.7 y)] in these analyses (standardized = 75, personalized = 81). MAGE decreased by 0.83 mg/dL per month for standardized (95% CI: 0.21, 1.46 mg/dL; P = 0.009) and 0.79 mg/dL per month for personalized (95% CI: 0.19, 1.39 mg/dL; P = 0.010) diet, with no between-group differences (P = 0.92). Trends were similar for HbA1c values. CONCLUSIONS:Personalized diet did not result in an increased reduction in GV or HbA1c in patients with prediabetes and moderately controlled T2D, compared with a standardized diet. Additional subgroup analyses may help to identify patients who are more likely to benefit from this personalized intervention. This trial was registered at clinicaltrials.gov as NCT03336411.

Background: Few prospective studies of Long COVID risk factors have been conducted. The purpose of this study was to determine whether sociodemographic factors, lifestyle, or medical history preceding COVID-19 or characteristics of acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are associated with Long COVID. Methods: In March 26, 2020, the COVID-19 Citizen Science study, an online cohort study, began enrolling participants with longitudinal assessment of symptoms before, during, and after SARS-CoV-2 infection. Adult participants who reported a positive SARS-CoV-2 test result before April 4, 2022 were surveyed for Long COVID symptoms. The primary outcome was at least 1 prevalent Long COVID symptom greater than 1 month after acute infection. Exposures of interest included age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, variant wave, number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, and exercise. Results: Of 13 305 participants who reported a SARS-CoV-2 positive test, 1480 (11.1%) responded. Respondents' mean age was 53 and 1017 (69%) were female. Four hundred seventy-six (32.2%) participants reported Long COVID symptoms at a median 360 days after infection. In multivariable models, number of acute symptoms (odds ratio [OR], 1.30 per symptom; 95% confidence interval [CI], 1.20-1.40), lower socioeconomic status/financial insecurity (OR, 1.62; 95% CI, 1.02-2.63), preinfection depression (OR, 1.08; 95% CI, 1.01-1.16), and earlier variants (OR = 0.37 for Omicron compared with ancestral strain; 95% CI, 0.15-0.90) were associated with Long COVID symptoms. Conclusions: Variant wave, severity of acute infection, lower socioeconomic status, and pre-existing depression are associated with Long COVID symptoms.

BACKGROUND:African American and Hispanic populations have been affected disproportionately by COVID-19. Reasons are multifactorial and include social and structural determinants of health. During the onset and height of the pandemic, evidence suggested decreased access to SARS CoV-2 testing. In 2020, the National Institutes of Health launched the Rapid Acceleration of Diagnostics (RADx)- Underserved Populations initiative to improve SARS CoV-2 testing in underserved communities. In this study, we explored attitudes, experiences, and barriers to SARS CoV-2 testing and vaccination among New York City public housing residents. METHODS:Between December 2020 and March 2021, we conducted 9 virtual focus groups among 36 low-income minority residents living in New York City public housing. RESULTS:Among residents reporting a prior SARS CoV-2 test, main reasons for testing were to prepare for a medical procedure or because of a high-risk exposure. Barriers to testing included fear of discomfort from the nasal swab, fear of exposure to COVID-19 while traveling to get tested, concerns about the consequences of testing positive and the belief that testing was not necessary. Residents reported a mistrust of information sources and the health care system in general; they depended more on "word of mouth" for information. The major barrier to vaccination was lack of trust in vaccine safety. Residents endorsed more convenient testing, onsite testing at residential buildings, and home self-test kits. Residents also emphasized the need for language-concordant information sharing and for information to come from "people who look like [them] and come from the same background as [them]". CONCLUSIONS:Barriers to SARS CoV-2 testing and vaccination centered on themes of a lack of accurate information, fear, mistrust, safety, and convenience. Resident-endorsed strategies to increase testing include making testing easier to access either through home or onsite testing locations. Education and information sharing by trusted members of the community are important tools to combat misinformation and build trust.