Faculty Bibliography

This study explores a novel, mixed qualitative method to deconstruct the diet of second-generation South Asian Americans (SAAs). Online interviews of 32 second-generation SAAs were conducted usingintegrated free-listing and mind-mapping. Ranked free-lists were aggregated to identify salient drivers, while connections made within mind-maps were analyzed using social network analysis (SNA) methods. Overall, 34 distinct drivers and 247 unique connections were identified. Taste, family, and health had the highest adjusted rankings, while health displayed the strongest network centrality. Interventions aimed at second-generation SAA dietary behaviors may benefit from family-based or multi-level interventions, which consider the complex, unique dietary norms identified.

OBJECTIVE:To explore associations between food insecurity, health behaviors, and academic performance among undergraduates at a private, urban US university. METHODS:A cross-sectional web-based survey was conducted among a convenience sample of New York University undergraduates. Multivariable logistic regression estimated associations of food security (using the 6-item US Household Food Security Survey Module) and health behaviors (fruit/vegetable, beverage and alcohol intakes, and sleep), self-rated health, and academic performance. RESULTS:Of the 257 students who completed the survey, 41% reported food insecurity. Food insecurity was associated with approximately 2-fold higher odds of sugar-sweetened beverage consumption (adjusted odds ratio, 1.97; 95% confidence interval, 1.14-3.41) and fair/poor health (adjusted odds ratio, 2.29; 95% confidence interval, 1.23-4.25). CONCLUSIONS AND IMPLICATIONS/CONCLUSIONS:Increased awareness of food insecurity and associated health behaviors among students has implications for higher education's provision of on-campus food support programs.

BACKGROUND:Accumulating evidence links ultra-processed foods to poor diet quality and chronic diseases. Understanding dietary trends is essential to inform priorities and policies to improve diet quality and prevent diet-related chronic diseases. Data are lacking, however, for trends in ultra-processed food intake. OBJECTIVES/OBJECTIVE:We examined US secular trends in food consumption according to processing level from 2001 to 2018. METHODS:We analyzed dietary data collected by 24-h recalls from adult participants (aged >19 y; N  = 40,937) in 9 cross-sectional waves of the NHANES (2001-2002 to 2017-2018). We calculated participants' intake of minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods as the relative contribution to daily energy intake (%kcal) using the NOVA framework. Trends analyses were performed using linear regression, testing for linear trends by modeling the 9 surveys as an ordinal independent variable. Models were adjusted for age, sex, race/ethnicity, education level, and income. Consumption trends were reported for the full sample and stratified by sex, age groups, race/ethnicity, education level, and income level. RESULTS:Adjusting for changes in population characteristics, the consumption of ultra-processed foods increased among all US adults from 2001-2002 to 2017-2018 (from 53.5 to 57.0 %kcal; P-trend < 0.001). The trend was consistent among all sociodemographic subgroups, except Hispanics, in stratified analyses. In contrast, the consumption of minimally processed foods decreased significantly over the study period (from 32.7 to 27.4 %kcal; P-trend < 0.001) and across all sociodemographic strata. The consumption of processed culinary ingredients increased from 3.9 to 5.4 %kcal (P-trend < 0.001), whereas the intake of processed foods remained stable at ∼10 %kcal throughout the study period (P-trend = 0.052). CONCLUSIONS:The current findings highlight the high consumption of ultra-processed foods in all parts of the US population and demonstrate that intake has continuously increased in the majority of the population in the past 2 decades.

There is a growing need to better capture comprehensive, nuanced, and multi-faceted qualitative data while also better engaging with participants in data collection, especially in virtual environments. This study describes the development of a novel 3-step approach to virtual mind-mapping that involves (1) ranked free-listing, (2) respondent-driven mind-mapping, and (3) interviewing to enhance both data collection and analysis of complex health behaviors. The method was employed in 32 virtual interviews as part of a study on eating behaviors among second-generation South Asian Americans. Participants noted the mind-mapping experience to be (1) helpful for visual learners, (2) helpful in elucidating new ideas and to structure thoughts, as well as (3) novel and interesting. They also noted some suggestions that included improving interpretability of visual data and avoiding repetition of certain discussion points. Data collection revealed the adaptability of the method, and the power of mind-maps to guide targeted, comprehensive discussions with participants.

Ultra-processed foods are industrially manufactured ready-to-eat or ready-to-heat formulations containing food additives and little or no whole foods, in contrast to processed foods, which are whole foods preserved by traditional techniques such as canning or pickling. Recent epidemiological studies suggest that higher consumption of ultra-processed food is associated with increased risk of cardiovascular disease (CVD). However, epidemiological evidence needs to be corroborated with criteria of biological plausibility. This review summarizes the current evidence on the putative biological mechanisms underlying the associations between ultra-processed foods and CVD. Research ranging from laboratory-based to prospective epidemiological studies and experimental evidence suggest that ultra-processed foods may affect cardiometabolic health through a myriad of mechanisms, beyond the traditionally recognized individual nutrients. Processing induces significant changes to the food matrix, for which ultra-processed foods may affect health outcomes differently than unrefined whole foods with similar nutritional composition. Notably, the highly degraded physical structure of ultra-processed foods may affect cardiometabolic health by influencing absorption kinetics, satiety, glycemic response, and the gut microbiota composition and function. Food additives and neo-formed contaminants produced during processing may also play a role in CVD risk. Key biological pathways include altered serum lipid concentrations, modified gut microbiota and host-microbiota interactions, obesity, inflammation, oxidative stress, dysglycemia, insulin resistance, and hypertension. Further research is warranted to clarify the proportional harm associated with the nutritional composition, food additives, physical structure, and other attributes of ultra-processed foods. Understanding how ultra-processing changes whole foods and through which pathways these foods affect health is a prerequisite for eliminating harmful processing techniques and ingredients.

BACKGROUND:In the United States, approximately 11% of households were food insecure prior to the COVID-19 pandemic. The present study aims to describe the prevalence of food insecurity among adults and households with children living in the United States during the pandemic. METHODS:This study utilized social media as a recruitment platform to administer an original online survey on demographics and COVID-related food insecurity. The survey was disseminated through an advertisement campaign on Facebook and affiliated platforms. Food insecurity was assessed with a validated six-item United States Department of Agriculture (USDA) Household Food Security Survey Module, which was used to create a six-point numerical food security score, where a higher score indicates lower food security. Individual-level participant demographic information was also collected. Logistic regressions (low/very-low compared with high/marginal food security) were performed to generate adjusted odds ratios (AOR) and 95%CIs for food insecurity and select demographic characteristics. RESULTS:Advertisements reached 250,701 individuals and resulted in 5,606 complete surveys. Overall, 14.7% of participants self-identified as having low or very low food security in their households, with higher prevalence (17.5%) among households with children. Unemployment (AOR:1.76, 95%CI:1.09-2.80), high school or lower education (AOR:2.25, 95%CI:1.29-3.90), and low income (AOR[$30,000-$50,000]:5.87, 95%CI:3.35-10.37; AOR[< $30,000]:10.61, 95%CI:5.50-20.80) were associated with higher odds of food insecurity in multivariable models among households with children (and the whole sample). CONCLUSIONS:These data indicate exacerbation of food insecurity during the pandemic. The study will be instrumental in guiding additional research and time-sensitive interventions targeted towards vulnerable food insecure subgroups.

South Asian immigrants confront a growing non-communicable disease burden, a significant issue in countries such as the USA. While efforts have slowly begun to address South Asian migrant health, second-generation communities remain underserved and understudied despite facing many of the same non-communicable disease concerns. The aim of this commentary is to highlight unique health disparities contributing to the current South Asian migrant health status and identify pathways for further formative research needed to inform subsequent development, implementation, and evaluation of health interventions targeting this community. Extant peer-reviewed literature addressing second-generation South Asian health issues was used to identify key research pathways needed to address existing gaps. Specifically, we call for (a) enhancing targeted surveillance and recruitment in research and (b) collecting data to help characterize behavioral and cultural patterns that may contribute to disease onset and progression. Expanding research on second-generation South Asian migrant health may help to develop tailored and targeted interventions.

BACKGROUND/UNASSIGNED:One of the influencing factors associated with weight gain is overeating as a maladaptive coping strategy to process or avoid the emotional impact of psychological stress. Psychological stress is chronically and pervasively associated with stress stemming from the workplace environment. Workplace wellness interventions have a unique opportunity to change environmental factors impacting psychological stress, which can improve individual food choice and weight management efforts. AIM/UNASSIGNED:To synthesize evidence from randomized controlled trials on workplace wellness interventions that impact employee psychological stress and food choice or weight management. METHODS/UNASSIGNED:A systematic review was completed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Selected studies were limited to English-language articles exploring randomized interventions at workplaces among adult employees and included measurements of psychometric stress and food choice (qualitative or quantitative) or biometric weight management. From the search, 10 studies were included in the final review. RESULTS/UNASSIGNED:Results were inconsistent across studies. There was no observable association between psychological stress reduction and food choice or weight management. Mid-length interventions (ranging from 6 to 9 months) had more consistent associations between intervention program implementation, reduced psychological stress, and improved food choice or weight management. CONCLUSIONS/UNASSIGNED:The studies examining employee food choices and weight management efforts remained very heterogeneous, indicating that more research is needed in this specific area of employee wellness program planning and measurement. Consistent research methodology and assessment tools are needed to measure dietary intake.

BACKGROUND:Ultra-processed foods provide 58% of total energy in the U.S. diet, yet their association with cardiovascular disease (CVD) remains understudied. OBJECTIVES/OBJECTIVE:The authors investigated the associations between ultra-processed foods and CVD incidence and mortality in the prospective Framingham Offspring Cohort. METHODS:The analytical sample included 3,003 adults free from CVD with valid dietary data at baseline. Data on diet, measured by food frequency questionnaire, anthropometric measures, and sociodemographic and lifestyle factors were collected quadrennially from 1991 to 2008. Data regarding CVD incidence and mortality were available until 2014 and 2017, respectively. Ultra-processed foods were defined according to the NOVA framework. The authors used Cox proportional hazards models to determine the multivariable association between ultra-processed food intake (energy-adjusted servings per day) and incident hard CVD, hard coronary heart disease (CHD), overall CVD, and CVD mortality. Multivariable models were adjusted for age, sex, education, alcohol consumption, smoking, and physical activity. RESULTS:During follow-up (1991 to 2014/2017), the authors identified 251, 163, and 648 cases of incident hard CVD, hard CHD, and overall CVD, respectively. On average, participants consumed 7.5 servings per day of ultra-processed foods at baseline. Each additional daily serving of ultra-processed foods was associated with a 7% (95% confidence interval [CI]: 1.03 to 1.12), 9% (95% CI: 1.04 to 1.15), 5% (95% CI: 1.02 to 1.08), and 9% (95% CI: 1.02 to 1.16) increase in the risk of hard CVD, hard CHD, overall CVD, and CVD mortality, respectively. CONCLUSIONS:The current findings support that higher consumption of ultra-processed foods is associated with increased risk of CVD incidence and mortality. Although additional research in ethnically diverse populations is warranted, these findings suggest cardiovascular benefits of limiting ultra-processed foods.