Faculty Bibliography

OBJECTIVE:Poor sleep and obstructive sleep apnea (OSA) are prevalent among transportation workers. METHODS:45 transportation workers from worksites in the Northeast US completed surveys assessing 1) sleepiness, 2) OSA, and 3) OSA stage of change, then participated in focus groups or interviews. RESULTS:Participants were 93.2% male, 90.1% white non-Hispanic. 77.8% scored high risk for OSA, while 11.1% of those at risk reported an OSA diagnosis. Only 31.4% of high risk participants reported having contemplated OSA evaluation or treatment. Qualitative themes pertained to difficulty unwinding, uncertain work hours, fears about and barriers to OSA treatment, and misinformation about OSA. CONCLUSIONS:Results reveal a high prevalence of OSA risk and a low rate of diagnosis and OSA readiness to change. We identify themes for future interventions to improve awareness about OSA among transportation workers.

BACKGROUND:Nonadherence to antihypertensive medications is common. Mobile health (mHealth)-based behavioral economic interventions may improve adherence, but remain largely untested, especially in vulnerable populations. OBJECTIVE:The study sought to test whether an mHealth incentive lottery would lower systolic blood pressure (SBP) and improve adherence. METHODS:BETTER-BP (Behavioral Economics Trial To Enhance Regulation of Blood Pressure) was a randomized trial conducted in 3 safety-net clinics in New York City. Eligible participants were adults with hypertension prescribed at least 1 antihypertensive medication, with SBP >140 mm Hg, and poor self-reported adherence. In the intervention arm, an incentive lottery was administered via SMS messaging. All participants received passive adherence monitoring. The intervention lasted 6 months, with continued monitoring until 12 months. The primary clinical endpoint was change in SBP at 6 months. The primary process endpoint was adequate antihypertensive medication adherence (≥80% days adherent) from baseline to 6 months. RESULTS:Four-hundred participants (265 intervention:135 control) were enrolled with median age 57 years, 60.5% women, 61.5% Hispanic, and 20.3% non-Hispanic Black. Over 70% had Medicaid or no insurance. At 6 months, intervention arm participants were twice as likely to achieve adequate adherence (71% vs 34%; adjusted risk ratio: 2.04; 95% CI: 1.58-2.63), but there was no significant change in mean SBP (-6.7 mm Hg intervention vs -5.8 mm Hg control; P = 0.62). From 6 to 12 months, adherence was similar (31% intervention vs 26% control; adjusted risk ratio: 1.17; 95% CI: 0.83-1.65). CONCLUSIONS:In a diverse safety-net population, the BETTER-BP intervention doubled the rate of adequate antihypertensive medication adherence but did not reduce SBP at 6 months.

Longitudinal trajectories of Long COVID remain ill-defined, yet are critically needed to advance clinical trials, patient care, and public health initiatives for millions of individuals with this condition. Long COVID trajectories were determined prospectively among 3,659 participants (69% female; 99.6% Omicron era) in the National Institutes of Health Researching COVID to Enhance Recovery (RECOVER) Adult Cohort. Finite mixture modeling was used to identify distinct longitudinal profiles based on a Long COVID research index measured 3 to 15 months after infection. Eight longitudinal profiles were identified. Overall, 195 (5%) had persistently high Long COVID symptom burden, 443 (12%) had non-resolving, intermittently high symptom burden, and 526 (14%) did not meet criteria for Long COVID at 3 months but had increasing symptoms by 15 months, suggestive of distinct pathophysiologic features. At 3 months, 377 (10%) met the research index threshold for Long COVID. Of these, 175 (46%) had persistent Long COVID, 132 (35%) had moderate symptoms, and 70 (19%) appeared to recover. Identification of these Long COVID symptom trajectories is critically important for targeting enrollment for future studies of pathophysiologic mechanisms, preventive strategies, clinical trials and treatments.

BACKGROUND:Black communities, compared to White communities, are disproportionately targeted with more unhealthy food advertisements on television and social media. Exposure to unhealthy food and beverage marketing is associated with appetitive sensations, purchase intention, and intake behaviors, which may contribute to poor overall diet quality and worsening nutritional disparities in Black communities. Despite the negative effects, food and beverage companies are expanding their reach and harnessing advanced technology to create immersive experiences using virtual reality (VR). Black young adults may be uniquely vulnerable. OBJECTIVE:We aim to explore the effect of a VR-based fast-food marketing experience (compared with a VR-based nonfood control) on purchase intention, arousal, and hunger in a sample of Black and White young adults. METHODS:We will recruit 200 Black and White young adults (aged 18-24 years) from the New York City metropolitan area for a 1-time, 2-hour laboratory-based study. After screening and obtaining informed consent, eligible participants will be randomized to 1 of 2 VR conditions: a VR-based fast-food marketing experience (Wendyverse; experimental) or a VR-based nonfood control (Nikeland). In the Wendyverse, users can order from the restaurant operated by Wendy's, play games, meet others who may be visiting the Wendyverse, and access codes that can be used to obtain free food at physical restaurants. The control condition will be the Nikeland app, where participants can play sports, try on apparel, and engage with celebrity athletes. Study personnel will provide a 5-minute training session to participants before beginning the experiment to ensure that they feel comfortable in the VR environment. Participants will otherwise engage with the VR app independently. The primary outcomes will be fast-food purchase intention, assessed via a self-report questionnaire; arousal, assessed via electrodermal activity or skin conductance; and hunger, assessed via salivary reactivity. We will also conduct secondary analyses to examine interactions by race, ethnicity, and food or nutrition insecurity as a proxy for socioeconomic status. Analyses of covariance and multiple linear regressions will be conducted to examine the effects of VR-based fast-food marketing exposure on the relevant outcomes (compared to the control). RESULTS:This study was funded by the National Institute on Minority Health and Health Disparities in September 2024. Recruitment is expected to begin in September 2025. We expect to complete data collection by October 2026 and begin data cleaning and analysis in November 2026. CONCLUSIONS:On the basis of previous research and data, we anticipate that young adults randomized to view VR-based food and beverage marketing will self-report higher purchase intention and demonstrate stronger arousal and hunger. The data will be used to support future research and improve the understanding of the effects of digital forms of unhealthy food and beverage marketing on young people. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT06917391; https://clinicaltrials.gov/study/NCT06917391. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:PRR1-10.2196/69096.

Poor diet quality is a leading risk factor for cardiometabolic disease (ie, diabetes and diseases associated with metabolism and inflammation), which is present in about half of American adults. Support has grown for incorporating the provision of healthy food as a complement to or a component of clinical care. Such "Food Is Medicine" programs provide free or subsidized healthy food directly to patients in close coordination with the health care system. In this review, we systematically examined published randomized controlled trials examining Food Is Medicine programs in the United States, categorizing them into different stages of development using the National Institutes of Health Model for Behavioral Intervention Development. This review identified a total of 14 randomized controlled trials of Food Is Medicine interventions in the United States with noncommunicable disease outcomes, more than one-third of which were early-stage smaller-scale trials (stage 1 randomized controlled trials). Broad variations in populations enrolled; intervention design, duration, and intensity; and outcomes precluded many direct comparisons between studies. Randomized controlled trial data were generally consistent with findings in the observational literature, indicating that common Food Is Medicine approaches often positively influence diet quality and food security, which are theorized to be key mediators for clinical outcomes. However, the impact on clinical outcomes was inconsistent and often failed to reach statistical significance. These observations highlight the need for larger, higher-quality Food Is Medicine studies focusing on the measurement of clinical outcomes within well-designed programs and the need for additional randomized controlled trials that more systematically map out the relationship between participation in different types of Food Is Medicine programs and health outcomes.