Niyati Parekh's additional information
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.
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
Faculty Honors Awards
Development of an Integrated Approach to Virtual Mind-Mapping: Methodology and Applied Experiences to Enhance Qualitative Health ResearchAbstractAbstractThere 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.
Food Insecurity, Associated Health Behaviors, and Academic Performance Among Urban University Undergraduate StudentsAbstractAbstractObjective: 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.
Mapping drivers of second-generation South Asian American eating behaviors using a novel integration of qualitative and social network analysis methodsAbstractAli, S. H., Gupta, S., Tariq, M., Penikalapati, R., Vasquez-Lopez, X., Auer, S., Hanif, C., Parekh, N., Merdjanoff, A. A., & DiClemente, R. (2022). Ecology of Food and Nutrition. 10.1080/03670244.2022.2056166AbstractThis 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.
A systematic review of randomized controlled trials examining workplace wellness interventionsAbstractAbstractBackground: 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.
Ultra-processed food consumption among US adults from 2001 to 2018AbstractAbstractBACKGROUND: 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: 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.
Association between dairy product intake and body composition among South Asian adults from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) studyAbstractAbstractSouth 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.
Changing the landscape of South Asian migrant health research by advancing second-generation immigrant health needsAbstractAbstractSouth 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 reviewAbstractAbstractAim: 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 StatesAbstractAbstractBackground: 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.
Longitudinal dimensions of alcohol consumption and dietary intake in the Framingham Heart Study Offspring Cohort (1971-2008)AbstractAbstractExisting 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.