Niyati Parekh's additional information
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Prof. Niyati Parekh’s research and teaching are motivated by a deep commitment to reduce nutrition-related disease outcomes in at-risk groups. In pursuit of this goal, as a nutritional epidemiologist, she has developed a robust research portfolio that examines the intersection of biological and behavioral factors of non-communicable diseases in US populations. The overarching theme of her research program is to examine the role of nutrition and diet-related factors in the etiology of non-communicable diseases, with a particular focus on obesity, metabolic dysregulation and cancer. Her multidisciplinary research integrates the intricacies from four distinct areas of expertise: disease biology, nutritional biochemistry, epidemiology and biostatistics. She has developed a research program with three interconnected areas that are unified under the theme of investigating diet and non-communicable diseases in populations, using epidemiologic methods. The first arm consists of leveraging existing data to identify dietary patterns, dietary quality and food consumption patterns in populations of interest. The second is to identify dietary determinants and biomarkers that predict disease outcomes including obesity, diabetes, cardiovascular disease and cancer. The third arm is to measure diets using novel dietary assessment methods that will contribute to more accurate and multi-dimensional measurement of diet. The three areas of her work complement each other and reveal preventive measures for populations, inform health policy and guide clinical practice. She has 75 peer-reviewed publications and her work has been supported by awards from the American Cancer Society and NIH.
Prof. Parekh holds an MS in Clinical Nutrition from Mumbai University and a PhD in Nutritional Sciences with a minor in Population Health Sciences from the University of Wisconsin-Madison (2005). After completing a 2-year postdoctoral fellowship in Cancer Epidemiology at the Cancer Institute of New Jersey-Rutgers, she joined New York University Steinhardt’s Department of Nutrition, Food Studies and Public Health in January 2008. With doctoral and postdoctoral training in epidemiological methods, she cross-pollinated the fields of nutrition and public health. In 2015, as Associate Professor of Public Health Nutrition, she transitioned to NYU’s newly launched School of Global Public Health (GPH), as Director of the Public Health Nutrition program (until 2019). She also has an affiliated appointment at the Department of Population Health-Grossman School of Medicine.
Her recent honors include being inducted as a New York Academy of Medicine Fellow, and her appointment as Independent Consultant at UNICEF. She has served the American Society for Nutrition as Chair of the Nutritional Epidemiology Research Group. She teaches graduate courses in the New York Campus and at study abroad sites (Mexico, Abu Dhabi and Florence). Graduate courses taught include Global Nutrition, Nutritional Epidemiology, Perspectives in Public Health and Global Cancer Epidemiology for which she has received awards. Prof. Parekh served as the Executive Director of Doctoral Programs at GPH from 2017-2021. In this role, she supported PhD students school-wide, and promoted all aspects of their rigorous research and professional development towards impactful careers. Prof. Parekh was appointed as the Associate Vice Provost of Faculty Initiatives in August 2021 and is responsible for mentoring early career tenure track-faculty.
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PhD, Nutritional Sciences (minor Population Health Sciences), University of Wisconsin-Madison, Madison, WIMS, Foods, Nutrition, and Clinical Dietetics, Mumbai University, IndiaBS, Life Sciences and Biotechnology, Mumbai University, India
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Faculty Honors Awards
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Publications
Changing the landscape of South Asian migrant health research by advancing second-generation immigrant health needs
AbstractAli, S. H., Diclemente, R. J., & Parekh, N. (2021). Translational Behavioral Medicine, 11(6), 1295-1297. 10.1093/tbm/ibaa084AbstractSouth 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.Ecological momentary assessment for health behaviors and contextual factors in persons with diabetes: A systematic review
AbstractNam, S., Griggs, S., Ash, G. I., Dunton, G. F., Huang, S., Batten, J., Parekh, N., & Whittemore, R. (2021). Diabetes Research and Clinical Practice, 174. 10.1016/j.diabres.2021.108745AbstractAim: The objective of this systematic review was to summarize the ecological momentary assessment (EMA) methodology and associations between EMA-measured psychosocial, contextual factors and diabetes self-management. Methods: The inclusion criteria were: research of EMA and diabetes self-management behaviors such as glucose checks, administration of insulin and eating-and dietary intake behaviors among persons with diabetes. A comprehensive search of several databases was conducted across all dates until July 2020. Results: A modified Checklist for Reporting EMA Studies was used to assess the quality of studies. Among the ten included studies, participants were predominantly White adolescents with type 1 diabetes (T1D) and type 2 diabetes was studied in two studies. Time-varying, psychosocial contexts such as negative affect or negative social interaction were associated with missed insulin injection and poor adherence to glucose check. More preceding psychological stress was associated with more calorie intake from snacks or binge eating behaviors. Mornings were the most challenging time of day for adherence to diabetes self-management among adolescents with T1D. Intentional insulin withholding was more common in the afternoon in adults with T1D. Conclusions: EMA has potential clinical utility in the assessment of diabetes self-management and in the development of timely and individualized diabetes interventions.Food insecurity among households with children during the COVID-19 pandemic: results from a study among social media users across the United States
AbstractParekh, N., Ali, S. H., O’Connor, J., Tozan, Y., Jones, A. M., Capasso, A., Foreman, J., & DiClemente, R. J. (2021). Nutrition Journal, 20(1). 10.1186/s12937-021-00732-2AbstractBackground: 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.Food Insecurity, Associated Health Behaviors, and Academic Performance Among Urban University Undergraduate Students
AbstractRyan, R. A., Murphy, B., Deierlein, A. L., Lal, S., Parekh, N., & Bihuniak, J. D. (2021). Journal of Nutrition Education and Behavior. 10.1016/j.jneb.2021.08.008AbstractObjective: 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: Increased awareness of food insecurity and associated health behaviors among students has implications for higher education's provision of on-campus food support programs.Longitudinal dimensions of alcohol consumption and dietary intake in the Framingham Heart Study Offspring Cohort (1971-2008)
AbstractParekh, N., Lin, Y., Chan, M., Juul, F., & Makarem, N. (2021). British Journal of Nutrition, 125(6), 685-694. 10.1017/S0007114520002676AbstractExisting studies addressing alcohol consumption have not captured the multidimensionality of drinking patterns, including drinking frequency, binge drinking, beverage preference and changes in these measures across the adult life course. We examined longitudinal trends in drinking patterns and their association with diet over four decades in ageing US adults from the Framingham Offspring Study (n 4956; baseline mean age 36·2 years). Alcohol intake (drinks/week, drinking frequency, beverage-specific consumption, drinks/occasion) was assessed quadrennially from examinations 1 to 8. Participants were classified as binge drinkers, moderate drinkers or heavy drinkers (4+ and 5+ drinks/occasion; ≤1 and ≤2 drinks/d and >7 and >14 drinks/week for women and men, respectively). Dietary data were collected by a FFQ from examinations 5 to 8 (1991-2008). We evaluated trends in drinking patterns using linear mixed effect models and compared dietary intake across drinking patterns using heterogeneous variance models. Alcohol consumption decreased from 1971 to 2008 (3·7 v. 2·2 oz/week; P < 0·05). The proportion of moderate (66 v. 59·3 %), heavy (18·4 v. 10·5 %) and binge drinkers (40·0 v. 12·3 %) declined (P < 0·05). While average wine consumption increased (1·4 v. 2·2 drinks/week), beer (3·4 v. 1·5 drinks/week) and cocktail intake (2·8 v. 1·2 drinks/week) decreased. Non-binge drinkers consumed less sugary drinks and more whole grains than binge drinkers, and the latter consumed more total fat across all examinations (P < 0·05). There was a significant difference in consumption trends of total grains by drinking level (P < 0·05). In conclusion, alcohol drinking patterns are unstable throughout adulthood. Higher intakes were generally associated with poorer diets. These analyses support the nuanced characterisation of alcohol consumption in epidemiological studies.A systematic review of randomized controlled trials examining workplace wellness interventions
AbstractMurphy, B., Parekh, N., Vieira, D. L., & O’Connor, J. A. (2021). Nutrition and Health. 10.1177/0260106021996935AbstractBackground: 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: To synthesize evidence from randomized controlled trials on workplace wellness interventions that impact employee psychological stress and food choice or weight management. Methods: 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: 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: 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.Trends in food consumption by degree of processing and diet quality over 17 years: Results from the Framingham Offspring Study
AbstractJuul, F., Lin, Y., Deierlein, A. L., Vaidean, G., & Parekh, N. (2021). British Journal of Nutrition, 126(12), 1861-1871. 10.1017/S000711452100060XAbstractUltraprocessed foods provide the majority of energy content in the American diet, yet little is known regarding consumption trends over time. We determined trends in diet processing level and diet quality from 1991 to 2008 within the prospective Framingham Offspring Cohort. Dietary intakes were collected by FFQ quadrennially 1991-2008 (total of four examinations). The analytical sample included 2893 adults with valid dietary data for ≥3 examinations (baseline mean age = 54 years). Based on the NOVA framework, we classified foods as: unprocessed/minimally processed foods; processed culinary ingredients (salt/sugar/fats/oils); and processed foods and ultraprocessed foods. We evaluated diet quality using the Dietary Guidelines for Americans Adherence Index (DGAI) 2010. Trends in consumption of foods within each processing level (servings/d) and diet quality over the four examinations were evaluated using mixed effects models with subject-specific random intercepts. Analyses were stratified by sex, BMI (<25 kg/m2, 25-29·9 kg/m2, ≥30 kg/m2) and smoking status. Over 17 years of follow-up, ultraprocessed food consumption decreased from 7·5 to 6·0 servings/d and minimally processed food consumption decreased from 11·9 to 11·3 servings/d (Ptrend < 0·001). Changes in intakes of processed foods, culinary ingredients and culinary preparations were minimal. Trends were similar by sex, BMI and smoking status. DGAI-2010 score increased from 60·1 to 61·5, P < 0·001. The current study uniquely describes trends in diet processing level in an ageing US population, highlighting the longstanding presence of ultraprocessed foods in the American diet. Given the poor nutritional quality of ultraprocessed foods, public health efforts should be designed to limit their consumption.Ultra-processed Foods and Cardiovascular Diseases: Potential Mechanisms of Action
AbstractJuul, F., Vaidean, G., & Parekh, N. (2021). Advances in Nutrition, 12(5), 1673-1680. 10.1093/advances/nmab049AbstractUltra-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.Ultra-Processed Foods and Incident Cardiovascular Disease in the Framingham Offspring Study
AbstractJuul, F., Vaidean, G., Lin, Y., Deierlein, A. L., & Parekh, N. (2021). Journal of the American College of Cardiology, 77(12), 1520-1531. 10.1016/j.jacc.2021.01.047AbstractBackground: Ultra-processed foods provide 58% of total energy in the U.S. diet, yet their association with cardiovascular disease (CVD) remains understudied. Objectives: 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.Association between dairy product intake and body composition among South Asian adults from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study
AbstractMurphy, B., Talegawkar, S. A., O’Connor, J., Kandula, N. R., Kanaya, A. M., Allison, M. A., & Parekh, N. (2021). British Journal of Nutrition, 126(7), 1100-1109. 10.1017/S0007114520005061AbstractSouth Asians, who are at a disproportionately greater risk of atherosclerotic CVD (ASCVD), represent a rapidly growing population in the USA. The relationship between dairy products, a major component of South Asian diets, and body composition - an established risk factor for ASCVD, is unclear. The aim of the present study was to examine associations between dairy intake and multiple measures of body composition (BMI, waist and hip circumference, waist:hip ratio, abdominal lean mass, subcutaneous, visceral, and intermuscular fat areas) among South Asian adults in the USA. A baseline analysis was conducted using existing data from the Mediators of Atherosclerosis in South Asians Living in America cohort. In women, the highest (>1.9 servings/d) v. lowest (<1 serving/d) tertile of dairy intake was associated with 53 % lower odds of a waist circumference >80 cm (95 % CI 0.25, 0.89, P for trend<0.05). No associations were observed between dairy intake and measures of body composition. However, >3 servings of low-fat yogurt/week was associated with a 9.9 cmlower visceral fat area (95 % CI -19.07, -0.72, P<0.05) and 2.3 cmlower intermuscular fat area (95 % CI -3.76, -0.79, P<0.05) as compared with those with three servings/week. Milk and cheese were not associated with body composition measures. These analyses suggest that higher consumption of low-fat yogurt is associated with lower visceral and intermuscular fat in the whole sample, and women with higher dairy intake have lower waist circumference. Our study supports dietary incorporation of dairy products, and recognises the utility of multidimensional measures of central adiposity.