Faculty Bibliography

BACKGROUND:Community-supported agriculture (CSA) programs are an evidence-based approach to increase fruit and vegetable (F&V) intake while also strengthening the local farming economy and social bonds. However, uptake has been limited due to payment structures and/or CSA offerings not reflecting local community preferences. To address this need, we developed the Harvest Share program, which centers a cost-offset CSA tailored to local communities in New York City. Here, our objective is to conduct a mixed-methods evaluation of year one of Harvest Share to evaluate its preliminary impact on diet and social outcomes. METHODS:Harvest Share participants (n = 542; n = 153 CSA and n = 389 comparison community [CC] participants) completed surveys and Veggie Meter readings-an objective measure of F&V intake-at the start and end of the 20-week growing season (~ June-October 2023). Qualitative interviews were conducted with n = 23 participants to understand program experiences. Mixed effect linear regression models were used to examine the impact of Harvest Share on primary (Veggie Meter score) and secondary outcomes (diet and social variables). Significant associations were based on the group (CSA vs. CC) by time (pre vs. post) interaction term. Descriptive, thematic analysis was used to analyze interviews. RESULTS:Across CSA and CC participants, individuals were, on average, 44 years old; female (80%); Asian (48%) or Hispanic/Latino (37%); and of lower socioeconomic status (55% with annual household income <$50,000). Change in Veggie Meter scores (p = 0.02), F&V consumption (p < 0.0001), and F&V knowledge (p = 0.0004) significantly differed between CSA and CC participants. Veggie Meter scores trended downwards in both groups, but the decline was non-significant among CSA participants (CSA: -7.43 [95%CI: -21.30, 6.44]; CC: -27.29 [95%CI: -36.27, -18.30]). CSA participation was associated with an increased number of different types of F&V consumed (CSA: 3.74 [95%CI: 2.94, 4.53]; CC: 0.05 [95%CI: -0.48, 0.57]) and decreased number of F&V that individuals did not know how to prepare (CSA: -1.60 [95%CI: -2.28, -0.93]; CC: -0.13 [95%CI: -0.57, 0.32]). Qualitative interviews indicated the CSA also promoted family and community connection and improved physical and mental health. CONCLUSIONS:A cost-offset, tailored CSA can improve diet and social outcomes using a model that supports farmers. TRIAL REGISTRATION/BACKGROUND:Registered on ClinicalTrials.gov as NCT05381766 (registration date: May 19, 2022).

Asian American populations are underrepresented within dietary programs and nutrition-specific funding. Existing understanding amongst Asian American communities focuses on those with pre-existing health conditions. There is a gap in published literature providing an overview of the food groups Asian American populations without noncommunicable diseases consume. This scoping review aims to provide a comprehensive mapping of the Asian American diet with a focus on food groups in the United States within existing literature. A scoping review was conducted from December 2023 to December 2024. Research databases (PubMed/Medline, CABI Digital Library, CINAHL, Scopus, Web of Science, EBSCO, and ProQuest Dissertations) were searched to identify articles published since 2000 that described food group consumption of Asian American populations. A total of 1486 articles were independently screened by 3 reviewers, leaving 165 articles for inclusion in this review. An additional 15 gray literature sources were separately reviewed for complementary information. Key findings (population and geographical focus, dataset, food group outcome, study limitations, and recommendations) were extracted and summarized in narrative form. Within the literature, Asian American adults and children generally consume more refined grains and less dairy than the standard United States population, though specific patterns vary: South Asians report higher saturated fat and dairy intake, while Chinese, Filipino, and Southeast Asian groups often fall short of recommended fruit and vegetable consumption. Dietary staples also differ by ethnicity, ranging from white rice and noodles in East/Southeast Asian diets to breads and buns among South Asian and Filipino communities. Recommendations for improving diets in Asian American communities emphasize culturally tailored nutrition education that incorporates traditional diets, promotes whole-grain substitutions, and adopts family-focused approaches. Future research efforts in Asian American diet and nutrition should better understand meal-sharing practices and cooking methods. Identifying broad insights in Asian American dietary consumption lays an essential framework for developing recommendations and interventions to address dietary behaviors contributing to diet-related disease burden among the Asian American population. This scoping review is registered on Open Science Framework (https://doi.org/10.17605/OSF.IO/K3X8S).

BACKGROUND:New York City (NYC) Cancer Outreach Network in Neighborhoods for Equity and Community Translation (CONNECT) aims to address determinants of cancer screening and access disparities in low-income NYC neighborhoods with high cancer burden. OBJECTIVES/OBJECTIVE:NYC CONNECT community partners formed neighborhood action councils (NACs) and engaged in mixed-method formative research and an iterative consensus-building process to co-identify structural and social determinants of cancer screening. The NACs co-developed with health and academic partners community-level strategies to address structural determinants of health. The objective of this manuscript is to describe participatory processes to engage and support community partners in low-income and high poverty communities and the evaluation of their functioning within the context of a community-academic research partnership. METHODS:NYC CONNECT partnership development is informed by trauma-informed community building and community-based participatory research principles. Our mixed-methods partnership evaluation included surveys, qualitative interviews, and speaking time in meetings as a proxy for engagement. LESSONS LEARNED/CONCLUSIONS:Trauma-informed community building and community-based participatory research informed co-learning and consensus-building activities among the NACs. Identifying and prioritizing structural and social determinants of health strategies was a non-linear, iterative process that required multiple interactive activities (e.g., asset mapping, impact to effort matrix, and voting). CONCLUSION/CONCLUSIONS:Community engagement is a dynamic process that requires adapting to community partners' goals and sharing decision-making power.

Medical mistrust, clinical trial knowledge, and clinical trial risk impact research participation, yet are rarely studied among racial and ethnic groups. Data were from a cross-sectional survey (n = 1,794). Multinomial logistic regression models examined associations of medical mistrust, clinical trial knowledge, and clinical trial risk with willingness to participate in health research (Yes, No, Unsure) among Chinese, Korean, South Asian, Haitian, North American Latiné, South American Latiné, and Southwest Asian and North African (SWANA) NYC residents with one model per group. Overall, 46.0% of participants reported willingness to participate, ranging from 35.8% (Chinese participants) to 58.7% (South Asian participants). Increased mistrust was associated with less willingness among Chinese (OR: 1.06, 95%CI: 1.00, 1.12) and South American Latiné (OR: 1.15, 95%CI: 1.02, 1.30) participants; more willingness among Haitian participants (OR: 0.87, 95%CI: 0.81, 0.94); more uncertainty among Korean (OR: 1.13, 95%CI: 1.05, 1.22), South Asian (OR: 1.06 95%CI: 1.01, 1.12), and North American Latiné (OR: 1.18, 95%CI: 1.10, 1.28) participants; and less uncertainty among Haitian (OR: 0.91, 95%CI: 0.84, 0.99) and SWANA (OR: 0.91, 95%CI:0.86, 0.97) participants. Knowledge was associated with more willingness for Haitian participants (OR: 2.77, 95%CI: 1.15, 6.65), less willingness for Chinese participants (OR: 0.55, 95%CI: 0.34, 0.88), and more uncertainty among South Asian (OR: 2.09, 95%CI: 1.07, 4.07) and SWANA (OR: 2.71, 95%CI: 1.21, 6.03) participants. Some risk and more willingness were linked for South American Latiné participants (OR: 0.13, 95%CI: 0.02, 0.82). Associations varied by group. Studying multiple racial and ethnic groups advances equitable research representation.

OBJECTIVE:To investigate associations between prepregnancy cardiometabolic risk factors and early childhood weight status, independent of genetic susceptibility. METHODS:The ancillary study of the HCHS/SOL (Hispanic Community Health Study/Study of Latinos) included 227 dyads consisting of Hispanic/Latina mothers who had singleton live births between baseline and visit 2 and their children, aged 3-9 years. Child outcomes included body mass index (BMI) z-scores, and weight status categories. Maternal prepregnancy biomarkers included fasting triglycerides, high-density lipoprotein cholesterol (HDL-C), glucose, insulin, blood pressure, BMI, and waist circumference. Child DNA was used to calculate a polygenic risk score for obesity. Linear and logistic regression models adjusted for confounders and child genetic risk. RESULTS:On average, 10.9 years elapsed between maternal baseline assessment and child anthropometry. At baseline, 4.8% of women reported having diabetes or hypertension, one-third had obesity (BMI 30 or higher), and more than half had elevated waist circumference or low HDL-C. Among children (mean age 7.5 years), 17.2% were categorized as having overweight and 27.8% were categorized as having obesity. Higher maternal BMI, larger waist circumference, and higher fasting insulin and diastolic blood pressure were significantly associated with higher child BMI z-scores. A 1-SD increase in maternal BMI (6.1 units) or waist circumference (13.3 cm) was linked to greater odds of child overweight or obesity. Elevated maternal insulin was associated with having a child with overweight status, and higher diastolic blood pressure with having a child in the obesity category in minimally adjusted models. CONCLUSION/CONCLUSIONS:Prepregnancy cardiometabolic risk factors in Hispanic/Latina women are associated with higher BMI and obesity risk in their children, independent of genetic predisposition. These findings highlight the prepregnancy period as a critical window for interventions to improve intergenerational health outcomes.

OBJECTIVE:The objective of this study is to use a machine learning approach to identify predictors of BMI percentile among Hispanic/Latino youth in the United States. METHODS:Participants were Hispanic/Latino 8- to 16-year-olds from the cross-sectional Study of Latino Youth (SOL Youth; n = 1466). A supervised machine learning approach, LASSO regression, was used with BMI percentile as the outcome. A total of 102 predictor variables were examined spanning parent and child demographics; health behaviors; and psychological, sociocultural, and environmental measures. RESULTS: = 0.42), but a 10-variable solution was selected for parsimony. Six associations were significant. Dieting 1-4 or ≥ 5 times/year (β = 8.69 [95% CI: 10.25 to 14.52] or 10.86 [95% CI: 13.14 to 18.33], respectively) and having a parent of Dominican heritage (β = 3.48 [95% CI: 4.05 to 9.90]) or with obesity (β = 2.96 [95% CI: 2.99 to 6.85]) were associated with a higher BMI percentile. Perception of being smaller than the "ideal" body size (β = -1.65 [95% CI: -6.84 to -1.35]) and use of the food/activity parenting practice Control (β = -1.17 [95% CI: -3.63 to -1.69]) were associated with a lower BMI percentile. CONCLUSIONS:Family-based approaches and focusing on dieting and body image satisfaction may be important for weight management in Hispanic/Latino youth.

BACKGROUND:Prior studies have found racial and ethnic disparities in cancer screenings, yet smaller minority ethnic groups are often aggregated. METHODS:Data from the 2021-2022 Community Health Resources and Needs Assessment (Cancer CHRNA) and the 2017-2020 NYC Community Health Survey (CHS) examined the prevalence of breast, cervical, and colorectal cancer screenings among Eastern European, Afro-Caribbean, Latine, Chinese, Korean, South Asian, and Southwest Asian and North African (SWANA) groups in New York City. Multivariable logistic regression models estimated adjusted relative risks of cancer screening outcomes by group. RESULTS:Up-to-date mammogram screening was low (< 70%) among all groups except Afro-Caribbean in the Cancer CHRNA; and among South Asian, Chinese, and Eastern European groups in the CHS. In logistic regression, South Asian and SWANA groups were less likely to have received an up-to-date mammogram compared to the Afro-Caribbean group in the Cancer CHRNA; no group differences were found in the CHS. Up-to-date Pap screening was low (< 70%) among all groups except Latina in the Cancer CHRNA; and among South Asian and Chinese groups in the CHS. In logistic regression, all other groups were less likely to have received an up-to-date Pap test compared to the Latina group in the Cancer CHRNA; and Chinese and South Asian groups were less likely to have received an up-to-date Pap test compared to the Latina group in the CHS. Up-to-date colonoscopy screening was low (< 70%) among all groups in the Cancer CHRNA; and among SWANA, South Asian, Chinese, and Eastern European groups in the CHS. In logistic regression, all groups except Chinese were less likely to have received an up-to-date colonoscopy compared to the Eastern European group in the Cancer CHRNA; and the Chinese and SWANA groups were less likely to have received an up-to-date colonoscopy compared to the Afro-Caribbean group in the CHS. CONCLUSIONS:Disparities in cancer screenings differed by screening type and survey, with larger disparities found among groups in the Cancer CHRNA. System level efforts are needed to monitor cancer screening disparities by disaggregating diverse groups; culturally tailored strategies should be used to raise awareness to increase screening. CLINICAL TRIAL INFORMATION/BACKGROUND:Not applicable.

Socioeconomic position (SEP) in childhood and beyond may influence the gut microbiome, with implications for disease risk. Studies evaluating the relationship between life-course SEP and the gut microbiome are sparse, particularly among Hispanic/Latino individuals, who have a high prevalence of low SEP. We use the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a population-based cohort study conducted in four field centers in the United States (U.S.), to evaluate the association between life-course SEP and gut microbiome composition. Life-course SEP indicators included parental education (proxy of childhood SEP), current SEP (n = 2174), and childhood (n = 988) and current economic hardship (n = 994). Shotgun sequencing was performed on stool samples. Analysis of Compositions of Microbiomes was used to identify associations of life-course SEP indicators with gut microbiome species and functions. Parental education and current SEP were associated with the overall gut microbiome composition; however, parental education and current education explained more the gut microbiome variance than the current SEP. A lower parental education and current SEP were associated with a lower abundance of species from genus Bacteroides. In stratified analysis by nativity, we found similar findings mainly among foreign-born participants. Early-life SEP may have long-term effects on gut microbiome composition underscoring another biological mechanism linking early childhood factors to adult disease.