Faculty Bibliography

High blood pressure is an important predictor of atherosclerotic cardiovascular disease (ASCVD), particularly among South Asians, who are at higher risk for ASCVD when compared to other population groups. The Dietary Approaches to Stop Hypertension (DASH) dietary pattern is established as the best proven nonpharmacological approach to preventing hypertension in adults. Using data from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort, we calculated a DASH dietary score to examine the association between adherence to the DASH diet and its components, and prevalent and incident hypertension and systolic and diastolic blood pressure, after five years of follow-up. We found that the relative risk ratio (RRR) of incident hypertension was 67% lower among participants in the highest DASH diet score category (aRRR: 0.33; 95% CI: 0.13, 0.82; p_trend = 0.02) compared with those in the lowest DASH diet score category in fully adjusted models. These findings are consistent with previous clinical trials and large prospective cohort studies, adding to evidence that supports the diet-disease relationship established between DASH diet and hypertension. This study is the first to examine DASH diet adherence and hypertension among South Asian adults in the U.S.

INTRODUCTION/UNASSIGNED:South Asians are an underrepresented population subgroup in the U.S., yet they have higher rates of chronic diseases. There is currently no tool that assesses the nutrition intake of South Asians in the U.S., despite their unique dietary profile that may be associated with disease outcomes. The objective of this preliminary study was to create a food list, inclusive of herbs and spices, that will be used in the development of the web-based South Asian Food Intake System for dietary assessment of South Asian adults living in the U.S. METHODS/UNASSIGNED:=31). Grocery store tours and cookbook and existing food frequency questionnaire review were conducted. RESULTS/UNASSIGNED:A food list of 484 individual food items was generated. These items were sorted into 12 main food categories and condensed into 302 line items. Most respondents (68%) reported consuming South Asian meals regularly and utilizing herbs/spices during food preparation (83%). CONCLUSIONS/UNASSIGNED:This pilot study describes the data collection to develop a food list for the South Asian Food Intake System, which can be utilized by educators, clinicians, and researchers to more accurately collect information about dietary intake among South Asian Americans.

OBJECTIVE/UNASSIGNED:Dietary self-management is one key component to achieve optimal glycemic control. Advances in mobile health (mHealth) technology have reduced the burden of diabetes self-management; however, limited evidence has been known regarding the status of the current body of research using mHealth technology for dietary management for adults with type 2 diabetes. METHODS/UNASSIGNED:Literature searches were conducted electronically using PubMed, CINAHL (EBSCO), Web of Science Core Collection, PsycINFO (Ovid), EMBASE (Ovid), and Scopus. Keywords and subject headings covered dietary management, type 2 diabetes, and mHealth. Inclusion criteria included studies that applied mHealth for dietary self-management for adults with type 2 diabetes and were published in English as full articles. RESULTS/UNASSIGNED:This review (N = 15 studies) revealed heterogeneity of the mHealth-based dietary self-management or interventions and reported results related to physiological, dietary behavioral, and psychosocial outcomes. Twelve studies applied smartphone apps with varied functions for dietary management or intervention, while three studies applied continuous glucose monitoring (CGM) to guide dietary changes. Among 15 reviewed studies, only three of them were two-arm randomized clinical trial (RCT) with larger sample and 12-month study duration and 12 of them were pilot testing. Nine of 12 pilot studies showed improved HbA1c; most of them resulted in varied dietary changes; and few of them showed improved diabetes distress and depression. CONCLUSION/UNASSIGNED:Our review provided evidence that the application of mHealth technology for dietary intervention for adults with type 2 diabetes is still in pilot testing. The preliminary effects are inconclusive on physiological, dietary behavioral, and psychosocial outcomes.

BACKGROUND:The degree of food processing may be an important dimension of diet in how it relates to health outcomes. A major challenge is standardizing food processing classification systems for commonly used datasets. OBJECTIVES:To standardize and increase transparency in its application, we describe the approach used to classify foods and beverages according to the Nova food processing classification in the 24-h dietary recalls from the 2001-2018 cycles of What We Eat in America (WWEIA), NHANES, and investigate variability and potential for Nova misclassification within WWEIA, NHANES 2017-2018 data via various sensitivity analyses. METHODS:First, we described how the Nova classification system was applied to the 2001-2018 WWEIA, NHANES data using the reference approach. Second, we calculated the percentage energy from Nova groups [1: unprocessed or minimally processed foods, 2: processed culinary ingredients, 3: processed foods, and 4: ultraprocessed foods (UPFs)] for the reference approach using day 1 dietary recall data from non-breastfed participants aged ≥1 y from the 2017-2018 WWEIA, NHANES. We then conducted 4 sensitivity analyses comparing potential alternative approaches (e.g., opting for more vs. less degree of processing for ambiguous items) to the reference approach, to assess how estimates differed. RESULTS:The energy contribution of UPFs using the reference approach was 58.2% ± 0.9% of the total energy; unprocessed or minimally processed foods contributed 27.6% ± 0.7%, processed culinary ingredients contributed 5.2% ± 0.1%, and processed foods contributed 9.0% ± 0.3%. In sensitivity analyses, the dietary energy contribution of UPFs ranged from 53.4% ± 0.8% to 60.1% ± 0.8% across alternative approaches. CONCLUSIONS:We present a reference approach for applying the Nova classification system to WWEIA, NHANES 2001-2018 data to promote standardization and comparability of future research. Alternative approaches are also described, with total energy from UPFs differing by ∼6% between approaches for 2017-2018 WWEIA, NHANES.

Family members play a crucial role in the health of Asian American communities, and their involvement in health interventions can be pivotal in optimizing impact and implementation. To explore how family members can be effectively involved in Asian American health interventions and develop a conceptual framework of methods of involvement at the stages of intervention development, process, and evaluation, this scoping review documented the role of Asian American family members in interventions (across any health objective). Of the 7175 studies identified through database and manual searches, we included 48 studies in the final analysis. Many studies focused on Chinese (54%) or Vietnamese (21%) populations, were conducted in California (44%), and involved spouses (35%) or parents/children (39%). We observed involvement across 3 stages: (1) intervention development (formative research, review process, material development), (2) intervention process (recruitment, receiving the intervention together, receiving a parallel intervention, enlisting support to achieve goals, voluntary intervention support, agent of family-wide change, and participation gatekeepers), and (3) intervention evaluation (received evaluation together, indirect impact evaluation, and feedback during intervention). Impact of family member involvement was both positive (as sources of encouragement, insight, accountability, comfort, and passion) and negative (sources of hindrance, backlash, stigma, obligation, and negative influence). Suggestions for future research interventions include (1) exploring family involvement in South Asian or young adult interventions, (2) diversifying types of family members involved (eg, extended family), and (3) diversifying methods of involvement (eg, family members as implementation agents).

PURPOSE OF REVIEW/OBJECTIVE:Poor diet quality is the leading risk factor related to the overall cardiometabolic disease burden in the USA and globally. We review the current evidence linking ultra-processed foods and cardiometabolic health risk and provide recommendations for action at the clinical and public health levels. RECENT FINDINGS/RESULTS:A growing body of evidence conducted in a variety of study populations supports an association between ultra-processed food intake and increased risk of metabolic syndrome, hypertension, type 2 diabetes, overweight and obesity trajectories, and cardiovascular disease. The strongest evidence is observed in relation to weight gain and obesity among adults, as this association is supported by high-quality epidemiological and experimental evidence. Accumulating epidemiologic evidence and putative biological mechanisms link ultra-processed foods to cardiometabolic health outcomes. The high intake of ultra-processed foods in all population groups and its associated risks make ultra-processed foods an ideal target for intensive health promotion messaging and interventions.

Refining existing dietary assessment methods to reduce measurement error and facilitate the routine evaluation of dietary quality is essential to inform health policy. Notable advancements in technology in the past decade have enhanced the precision and transformation of dietary assessment methods with applications toward both population health and precision nutrition. Within population health, innovative applications of big data including use of automatically collected food purchasing data, quantitative measurement of food environments, and novel, yet simplified dietary quality metrics provide important complementary data to traditional self-report methods. Precision nutrition is similarly advancing with greater use of validated biomarkers for assessing dietary patterns and understanding individual variability in metabolism. Concurrently enhancing our understanding of diet-disease relationships at the population health and precision nutrition levels provide tremendous potential to generate evidence needed to advance public health nutrition policy. This commentary highlights the importance of these advances toward progressing the field of dietary assessment and discusses the application of food purchasing data, data analytics, alternative dietary quality metrics, and -omics technology in population and clinical medicine.

Recent evidence suggests that 44.8% of women of reproductive age (WRA) in Tanzania suffer from anemia. Addressing this public health challenge calls for local evidence of its burden and determinants thereof for policy and tailored interventions. This secondary data analysis used Tanzania Demographic and Health Surveys (TDHS) 2004-2005 and 2015-2016 with a total of 23,203 WRA. Data were analyzed using descriptive statistics to characterize the burden of anemia, regression analyses to examine the adjusted change in the prevalence of anemia and remaining determinants thereof, and the Global Information System (GIS) to map the differences in the burden of anemia in Tanzania over the period of one decade. Considering the risk factors of anemia observed in our study, WRA in Tanzania should have been 15% less likely to suffer from anemia in 2015 compared to 2005. However, a small decline (3.6%) was not evenly distributed across the regions in Tanzania. Factors that remained significantly associated with anemia among WRA in the latest survey include age above 35 years (AOR = 1.564, p = 0.007), education level (AOR = 0.720, p = 0.001), pregnancy status (AOR = 1.973, p < 0.001), and use of contraception (AOR of 0.489, p < 0.001). Our findings suggest that WRA in Tanzania aged above 35 should be the target population to accept the more tailored interventions.

South Asians are among the fastest growing ethnic group in the USA yet remain understudied in epidemiologic studies. Due to their unique disease profile, identifying risk moderators and mitigators, such as dietary patterns and food intake, will help to determine the diet-disease relationship that is specific to this largely immigrant population group in the USA. The aim of this commentary is to highlight the dietary traditions and acculturated practices experienced by South Asians in the USA with a call for a diet assessment instrument that adequately captures their dietary diversity. Specifically, we call for (i) the inclusion of traditional food items, such as herbs and spices, that individualize diet assessment for participants; and (ii) leveraging technology that will enhance the experience of diet assessment for both researchers and participants, tailoring the collection of habitual dietary intake in this diverse population group.