Faculty Bibliography

OBJECTIVE:To characterize unmet sexual health resource needs and preferences for interventions to address unmet needs among female partners of patients with prostate cancer (PCa), given the significant negative impact of PCa on the sexual health of partners. METHODS:We conducted an exploratory sequential mixed methods study of female partners recruited from multiple U.S. clinical locations, websites, and support groups for caregivers. We first conducted semistructured in-depth interviews. Qualitative results informed development of a cross-sectional survey, which was administered to a larger sample of partners. RESULTS:Overall, 12 and 200 female partners participated in the qualitative and quantitative portions of the study. Major emergent themes from interviews were the benefits and drawbacks of technology-based interventions, the importance of sexual health resources throughout the PCa journey, and a desire for sexual health support groups that include partners. In the survey, the most common sexual health topics that partners wanted more information about were male libido problems (30.0%), erectile dysfunction (26.5%), and female libido and arousal problems (24.5%). Additionally, 41.5% wanted more information about sexual health websites, 35.0% about partners-only support groups, 29.5% about support groups for couples, and 23.5% about sexual medicine specialists. CONCLUSIONS:To our knowledge, this is the largest study to date on female partners' unmet sexual health resource needs and preferences for sexual health interventions. Partners prefer technology-based interventions, desire sexual health-focused support groups, and want more information about a variety of sexual issues and specialists who treat them.

The prevalence of youth-onset type 2 diabetes (T2D) and childhood obesity has been rising steadily¹, producing a growing public health concern¹ that disproportionately affects minority groups². The genetic basis of youth-onset T2D and its relationship to other forms of diabetes are unclear³. Here we report a detailed genetic characterization of youth-onset T2D by analysing exome sequences and common variant associations for 3,005 individuals with youth-onset T2D and 9,777 adult control participants matched for ancestry, including both males and females. We identify monogenic diabetes variants in 2.4% of individuals and three exome-wide significant (P < 2.6 × 10^-6) gene-level associations (HNF1A, MC4R, ATXN2L). Furthermore, we report rare variant association enrichments within 25 gene sets related to obesity, monogenic diabetes and β-cell function. Many youth-onset T2D associations are shared with adult-onset T2D, but genetic risk factors of all frequencies-and rare variants in particular-are enriched within youth-onset T2D cases (5.0-fold increase in the rare variant and 3.4-fold increase in common variant genetic liability relative to adult-onset cases). The clinical presentation of participants with youth-onset T2D is influenced in part by the frequency of genetic risk factors within each individual. These findings portray youth-onset T2D as a heterogeneous disease situated on a spectrum between monogenic diabetes and adult-onset T2D.

OBJECTIVE/UNASSIGNED:HbA1c is an insensitive marker for assessing real-time dysglycemia in obesity. This study investigated whether 1-h plasma glucose level (1-h PG) ≥155 mg/dL (8.6 mmol/L) during an oral glucose tolerance test (OGTT) and continuous glucose monitoring (CGM) measurement of glucose variability (GV) better reflected dysglycemia than HbA1c after weight loss from metabolic and bariatric surgery. METHODS/UNASSIGNED:This was a prospective cohort study of 10 participants with type 2 diabetes compared with 11 participants with non-diabetes undergoing sleeve gastrectomy (SG). At each research visit; before SG, and 6 weeks and 6 months post-SG, body weight, fasting lipid levels, and PG and insulin concentrations during an OGTT were analyzed. Mean amplitude of glycemic excursions (MAGE), a CGM-derived GV index, was analyzed. RESULTS/UNASSIGNED:-cell function, remained reduced in the diabetes group when compared to the non-diabetes group. CONCLUSIONS/UNASSIGNED:-cell dysfunction and the potential residual risk of diabetes complications.

OBJECTIVE:To examine whether prenatal or concurrent household food insecurity influences associations between maternal and toddler fruit and vegetable (FV) intake. DESIGN/METHODS:Application of a life-course framework to an analysis of a longitudinal dataset. SETTING/METHODS:Early childhood obesity prevention program at a New York City public hospital. PARTICIPANTS/METHODS:One-hundred and fifty-six maternal-toddler dyads self-identifying as Hispanic or Latino. VARIABLES MEASURED/METHODS:Maternal and toddler FV intake was measured using Centers for Disease Control and Prevention dietary measures when toddlers were aged 19 months. Household food insecurity (measured prenatally and concurrently at 19 months) was measured using the US Department of Agriculture Food Security Module. ANALYSIS/METHODS:Regression analyses assessed associations between adequate maternal FV intake and toddler FV intake. Interaction terms tested whether prenatal or concurrent household food insecurity moderated this association. RESULTS:Adequate maternal FV intake was associated with increased toddler FV intake (B = 6.2 times/wk, 95% confidence interval, 2.0-10.5, P = 0.004). Prenatal household food insecurity was associated with decreased toddler FV intake (B = -6.3 times/wk, 95% confidence interval, -11.67 to -0.9, P = 0.02). There was a significant interaction between the level of maternal-toddler FV association (concordance or similarity in FV intake between mothers and toddlers) and the presence of food insecurity such that maternal-toddler FV association was greater when prenatal household food insecurity was not present (B = -11.6, P = 0.04). CONCLUSIONS AND IMPLICATIONS/CONCLUSIONS:Strategies to increase FV intake across the life course could examine how the timing of household food insecurity may affect intergenerational maternal-child transmission of dietary practices.

OBJECTIVE:This study aimed to identify risk factors for relapse (psychiatric emergency department visits or hospitalization) and lack of follow-up with outpatient psychiatric care in the 12 months after ending services in an urban safety net coordinated specialty care (CSC) program for first episode psychosis (FEP). METHODS:The study population (n = 143) were individuals with FEP who had any CSC care between 2014 and 2021. To identify risk factors for relapse and follow up after exit, multivariable logistic regression was performed using data from electronic health records and linked insurance claims data. RESULTS:Individuals with any emergency department visit or hospitalization 12 months prior to ending CSC (aOR = 4.69, 95 % CI 1.78-12.34) and those who were using cannabis at last CSC contact (aOR = 4.06, 95 % CI 1.56-10.56) had a higher risk of relapse after ending CSC services. Cannabis use at last contact was also associated with lower rates of outpatient psychiatric follow-up (aOR = 0.32, 95 % CI 0.12-0.94), while CSC duration in months had a small positive association with post-CSC psychiatric follow-up. There were no differences in relapse or follow-up by race or ethnicity, primary diagnosis, or medication usage. CONCLUSIONS:Prior relapse during CSC predicted relapse in the 12 months after ending CSC services, but not outpatient follow up. Cannabis use predicted both a higher rate of relapse and a lower rate of follow up after ending services. There were no differences by race or ethnicity in our sample, suggesting that once individuals engaged in FEP care there were no evident disparities in the observed outcomes.

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.

BACKGROUND:This study aimed to identify contextual factors associated with life satisfaction during the COVID-19 pandemic for adolescents with mental, emotional, behavioral, and developmental (MEBD) disabilities. METHODS:Data were collected from a sample of 1084 adolescents aged 11-21 years from April 2020 to August 2021. This cross-sectional study used a sequential machine learning workflow, consisting of random forest regression and evolutionary tree regression, to identify subgroups of adolescents in the Environmental influences on Child Health Outcomes (ECHO) consortium who demonstrated enhanced vulnerability to lower life satisfaction as described by intersecting risk factors, protective factors, and MEBD disabilities. RESULTS:Adolescents with a history of depression, anxiety, autism, and attention-deficit/hyperactivity disorder were particularly susceptible to decreased life satisfaction in response to unique combinations of stressors experienced during the COVID-19 pandemic. These stressors included decreased social connectedness, decreased family engagement, stress related to medical care access, pandemic-related traumatic stress, and single-caregiver households. CONCLUSION/CONCLUSIONS:Findings from this study highlight the importance of interventions aimed specifically at increasing adolescent social connectedness, family engagement, and access to medical support for adolescents with MEBD disabilities, particularly in the face of stressors, such as a global pandemic. IMPACT/CONCLUSIONS:Through a machine learning process, we identified contextualized risks associated with life satisfaction among adolescents with neurodevelopmental disabilities during the COVID-19 pandemic. The COVID-19 pandemic resulted in large-scale social disruptions for children and families. Such disruptions were associated with worse mental health outcomes in the general pediatric population, but few studies have examined specific subgroups who may be at heightened risk. We endeavored to close that gap in knowledge. This study highlights the importance of social connectedness, family engagement, and access to medical support as contributing factors to life satisfaction during the COVID-19 pandemic for adolescents with neurodevelopmental disabilities.

Improving housing quality may improve residents' health, but identifying buildings in poor repair is challenging. We developed a method to improve health-related building inspection targeting. Linking New York City Medicaid claims data to Landlord Watchlist data, we used machine learning to identify housing-sensitive health conditions correlated with a building's presence on the Watchlist. We identified twenty-three specific housing-sensitive health conditions in five broad categories consistent with the existing literature on housing and health. We used these results to generate a housing health index from building-level claims data that can be used to rank buildings by the likelihood that their poor quality is affecting residents' health. We found that buildings in the highest decile of the housing health index (controlling for building size, community district, and subsidization status) scored worse across a variety of housing quality indicators, validating our approach. We discuss how the housing health index could be used by local governments to target building inspections with a focus on improving health.