Faculty Bibliography

Support from social networks buffers against negative effects of stress but is disrupted by incarceration. Few studies examine incarceration, social support networks, and health among Black sexual minority men (BSMM) and Black transgender women (BTW). We conducted a secondary analysis using HIV Prevention Trials Network 061 (HPTN 061), a sample of BSMM/BTW recruited from six US cities. We measured associations between recent incarceration reported at six months follow-up and social support networks at twelve months follow-up, and cross-sectional associations between support networks and twelve-month health outcomes (e.g., sexual partnerships, substance use, healthcare access and depressive symptoms). Among the analytic sample (N = 1169), recent incarceration was associated with small medical support networks (adjusted risk ratio [aRR] 1.16, 95% CI 1.01, 1.34) and small financial support networks (aRR 1.18, 95% CI 1.04, 1.35). Support networks were associated with multiple partnerships (adjusted prevalence ratio [aPR] 0.77, 95% CI 0.65, 0.90), unhealthy alcohol use (aPR 1.20, 95% CI 0.96, 1.51), and depressive symptoms (aPR 1.16, 95% CI 0.99, 1.36). Incarceration adversely impacts social support networks of BSMM/BTW, and support networks were associated with a range of important health outcomes.

BACKGROUND:Perinatal depression is broadly defined as depressive symptoms during pregnancy or within the 12 months following delivery, affecting approximately 20-25% of pregnant and postpartum women in low- and middle-income countries. The wide accessibility of mobile phones allows mobile health (mHealth) interventions to be considered a solution to identify perinatal depression and provide appropriate referrals for treatment. This study, nested in a larger SMS communication project, examined the prevalence and correlates of perinatal depression, determined the association between antenatal depression and infant morbidity and mortality, and compared SMS communication patterns between women with and without perinatal depression. METHODS:This was a prospective longitudinal cohort study of pregnant women seeking antenatal services at two public sector health clinics in Kenya. SMS messages were sent to participants with educational content related to their pregnancy and infant health and two-way SMS communication occurred with a nurse. Sociodemographic and obstetric characteristics, SMS messaging behaviors, infant health status, and depressive symptoms were assessed by a standardized questionnaire administered at enrollment (30-36 weeks gestation) and follow-up (14 weeks postpartum). Generalized estimating equation (GEE) with Poisson link was used to evaluate correlates of perinatal depressive symptoms, infant outcomes, and frequency of SMS messaging. RESULTS:Of the 572 women with complete follow-up information, 188 (32.9%) screened positive for elevated depressive symptoms (≥10 by EPDS scale) at some time point during pregnancy or postpartum. The strongest predictors of any depressive symptoms included interpersonal abuse during pregnancy, fewer years of schooling, and maternal unemployment. Antenatal depressive symptoms were associated with an increased risk of infant illness or hospitalization (RR = 1.12, 95% CI: 1.11, 1.13). Women with antenatal or persistent perinatal depressive symptoms sent fewer SMS messages during the study period than their counterparts without depression. CONCLUSIONS:Prevalence of elevated perinatal depressive symptoms was high in this cohort of Kenyan women. Our findings highlight the importance of screening perinatal women for experiences of symptoms of depression as well as abuse. Differences in messaging frequency between women with vs. without depressive symptoms presents an opportunity to provide more tailored support for those perinatal depression.

Background Low socioeconomic status (SES) is associated with a higher risk of heart failure (HF). The contribution of individual and neighborhood SES to the prognosis and quality of care for HF with reduced ejection fraction is not clear yet has important implications. Methods and Results We examined 728 participants of the ARIC (Atherosclerosis Risk in Communities) study (mean age, 78.2 years; 34% Black participants; 46% women) hospitalized with HF with reduced ejection fraction (ejection fraction <50%) between 2005 and 2018. We assessed associations between education, income, and area deprivation index with mortality and HF readmission using multivariable Cox models. We also evaluated the use of guideline-directed medical therapy (optimal: ≥3 of ß-blockers, mineralocorticoid receptor antagonist, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers; acceptable: at least 2) at discharge. During a median follow-up of 3.2 years, 58.7% were readmitted with HF, and 74.0% died. Low income was associated with higher mortality (hazard ratio [HR], 1.52 [95% CI, 1.14-2.04]) and readmission (HR, 1.45 [95% CI, 1.04-2.03]). Similarly, low education was associated with mortality (HR, 1.27 [95% CI, 1.01-1.59]) and readmission (HR, 1.62 [95% CI, 1.24-2.12]). The highest versus lowest area deprivation index quartile was associated with readmission (HR, 1.69 [95% CI, 1.11-2.58]) but not necessarily with mortality. The prevalence of optimal guideline-directed medical therapy and acceptable guideline-directed medical therapy was 5.5% and 54.4%, respectively, but did not significantly differ by SES. Conclusions Among patients hospitalized with HF with reduced ejection fraction, low SES was independently associated with mortality and HF readmission. A targeted secondary prevention approach that focuses intensive efforts on patients with low SES will be necessary to improve outcomes of those with HF with reduced ejection fraction.

BACKGROUND:Increased time to surgery (TTS) is associated with decreased survival in patients with breast cancer. In early 2020, elective surgeries were canceled to preserve resources for patients with coronavirus disease 2019 (COVID-19). This study attempts to measure the effect of mandated operating room shutdowns on TTS in patients with breast cancer. PATIENTS AND METHODS/METHODS:This multicenter retrospective study compares 51 patients diagnosed with breast cancer at four public hospitals from January to June 2020 with 353 patients diagnosed from January 2017 to June 2018. Demographics, tumor characteristics, treatment regimens, and TTS for patients were statistically compared using parametric, nonparametric, and Cox proportional hazards regression modeling. RESULTS:Across all centers, there was a non-statistically significant increase in median TTS from 59 days in the pre-COVID period to 65 days during COVID (p = 0.9). There was, however, meaningful variation across centers. At center A, the median TTS decreased from 57 to 51 days, center C's TTS decreased from 83 to 64 days, and in center D, TTS increased from 42 to 129 days. In a multivariable Cox proportional hazards model for the pre-COVID versus COVID period effect on TTS, center was an important confounding variable, with notable differences for centers C and D compared with the referent category of center A (p = 0.04, p = 0.006). CONCLUSION/CONCLUSIONS:Data suggest that, while mandated operating room shutdowns did not result in an overall statistically significant delay in TTS, there were important differences between centers, indicating that, even in a unified multicenter public hospital system, COVID-19 may have resulted in delayed and potentially disparate care.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Recent studies have suggested that inter-eye differences (IEDs) in peripapillary retinal nerve fiber layer (pRNFL) or ganglion cell+inner plexiform (GCIPL) thickness by spectral-domain optical coherence tomography (SD-OCT) may identify people with a history of unilateral optic neuritis (ON). However, this requires further validation. Machine learning classification may be useful for validating thresholds for OCT IEDs and for examining added utility for visual function tests, such as low-contrast letter acuity (LCLA), in the diagnosis of people with multiple sclerosis (PwMS) and for unilateral ON history. METHODS:Participants were from 11 sites within the International Multiple Sclerosis Visual System (IMSVISUAL) consortium. pRNFL and GCIPL thicknesses were measured using SD-OCT. A composite score combining OCT and visual measures was compared individual measurements to determine the best model to distinguish PwMS from controls. These methods were also used to distinguish those with history of ON among PwMS. ROC curve analysis was performed on a training dataset (2/3 of cohort), then applied to a testing dataset (1/3 of cohort). Support vector machine (SVM) analysis was used to assess whether machine learning models improved diagnostic capability of OCT. RESULTS:Among 1,568 PwMS and 552 controls, variable selection models identified GCIPL IED, average GCIPL thickness (both eyes), and binocular 2.5% LCLA as most important for classifying PwMS vs. controls. This composite score performed best, with AUC=0.89 (95% CI 0.85, 0.93), sensitivity=81% and specificity=80%. The composite score ROC curve performed better than any of the individual measures from the model (p<0.0001). GCIPL IED remained the best single discriminator of unilateral ON history among PwMS (AUC=0.77, 95% CI 0.71,0.83, sensitivity=68%, specificity=77%). SVM analysis performed comparably to standard logistic regression models. CONCLUSIONS:A composite score combining visual structure and function improved the capacity of SD-OCT to distinguish PwMS from controls. GCIPL IED best distinguished those with history of unilateral ON. SVM performed as well as standard statistical models for these classifications. CLASSIFICATION OF EVIDENCE/METHODS:The study provides Class III evidence that SD-OCT accurately distinguishes multiple sclerosis from normal controls as compared to clinical criteria.

BACKGROUND:Neighborhood walkability (NW) has been linked to increased physical activity, which in turn is associated with lower concentrations of sex hormones and higher concentration of SHBG in women. However, no study has directly examined the association of NW with female sex hormone levels. OBJECTIVE:We conducted a cross-sectional study to evaluate the association between NW and circulating levels of sex hormones and SHBG in pre- and post-menopausal women. METHODS:We included 797 premenopausal and 618 postmenopausal women from the New York University Women's Health Study (NYUWHS) who were healthy controls in previous nested case-control studies in which sex hormones (androstenedione, testosterone, DHEAS, estradiol and estrone) and SHBG had been measured in serum at enrollment. Baseline residential addresses were geo-coded and the Built Environment and Health Neighborhood Walkability Index (BEH-NWI) was calculated. Generalized Estimating Equations were used to assess the association between BEH-NWI and sex hormone and SHBG concentrations adjusting for individual- and neighborhood-level factors. RESULTS:In premenopausal women, a one standard deviation (SD) increment in BEH-NWI was associated with a 3.5% (95% CI 0.9%-6.1%) lower DHEAS concentration. In postmenopausal women, a one SD increment in BEH-NWI was related to an 8.5% (95% CI 5.4%-11.5%) lower level of DHEAS, a 3.7% (95% CI 0.5%-6.8%) lower level of testosterone, a 1.8% (95% CI 0.5%-3.0%) lower level of estrone, and a 4.2% (95% CI 2.7%-5.7%) higher level of SHBG. However, the associations with respect to DHEAS and estrone became apparent only after adjusting for neighborhood-level variables. Sensitivity analyses using fixed effects meta-analysis and inverse probability weighting accounting for potential selection bias yielded similar results. CONCLUSION/CONCLUSIONS:Our findings suggest that NW is associated with lower concentrations of androgens and estrone, and increased SHBG, in postmenopausal women, and lower levels of DHEAS in premenopausal women.

BACKGROUND/UNASSIGNED:Maternal social support promotes healthy infant feeding practices, which influence healthy growth and development. Less is known about how the interplay of social support networks and multicultural health beliefs may influence infant feeding practices, particularly among immigrant Chinese American mothers with economic disadvantage and low breastfeeding rates. RESEARCH AIM/UNASSIGNED:To explore the role of social support networks in the development of infant feeding practices in immigrant Chinese American mothers with infants. METHODS/UNASSIGNED:= 25) at a federally qualified health center in the Sunset Park neighborhood of Brooklyn, New York. Data were analyzed by a multicultural, multidisciplinary team using qualitative thematic analysis and the constant comparative method to identify and iteratively refine emerging codes. RESULTS/UNASSIGNED:Three themes emerged describing how broad transnational communities and close family and friends influence maternal-infant feeding practices: (1) Gathering and processing infant feeding information from broad transnational resources (i.e., from both the mother's country of residence and the mother's country of origin); (2) aligning maternal feeding attitudes with cultural health beliefs of local social networks; and (3) gaining confidence with transactional maternal-infant feeding interactions. CONCLUSIONS/UNASSIGNED:Strategies to promote healthy infant feeding should consider how family supports and culturally-relevant coaching can help align multilevel transnational social networks with healthy infant feeding practices.