Racial and ethnic heterogeneity in diets of low-income adult females in the United States: results from National Health and Nutrition Examination Surveys from 2011 to 2018

Stephenson, Briana; Willett, Walter C.

doi:10.1016/j.ajcnut.2023.01.008

Cited by 11 publications

(4 citation statements)

References 35 publications

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“…Significant differences in race/ethnicity were observed between consumers and non-consumers, such that a greater proportion of consumers were non-Hispanic Asians compared to non-consumers. Previous studies have indicated a higher prevalence of legume intake among Hispanic individuals [31,32], especially those with lower acculturation [33]; in contrast, we found that the proportion of consumers who were Hispanic was lower than that of non-consumers. Additionally, lentils/dried peas intake was not significantly different by language spoken at home, a commonly used a proxy for acculturation [34,35], among Hispanic adults.…”

Section: Discussioncontrasting

confidence: 86%

Consumption Trends and Eating Context of Lentils and Dried Peas in the United States: A Nationally Representative Study

Sanjeevi,

Monsivais

2024

Nutrients

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Background: Incorporation of lentils and dried peas could form the basis of a nutrient-rich diet; yet, they are among the least-consumed legumes in the United States (US). The objective of this study was to examine the prevalence of lentils/dried peas consumption in the US over time and across socio-demographic groups, as well as to examine the eating context of these foods. Methods: Analyses included adults (aged 18 years or older) and children (aged 3–17 years) participating in National Health and Nutrition Examination Survey (NHANES) 2003–2004 through 2017–2018. Participants consuming lentils/dried peas on one or both of the 24-h dietary recalls were categorized as consumers. Results: Although an increasing time trend in prevalence of consumption was observed over the study period, prevalence of lentils/dried peas consumption was less than 7% in NHANES 2017–2018 in adults and children. Demographic differences were observed, such that a greater proportion of non-Hispanic Asians were classified as consumers. Lentils/dried peas were primarily obtained from grocery stores and supermarkets. Conclusions: Although there are signs of rising acceptance of dried peas and lentils, the low prevalence of lentils/dried peas consumption suggests that understanding barriers to consumption of these foods could further identify opportunities to improve their consumption.

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Section: Discussioncontrasting

confidence: 86%

Consumption Trends and Eating Context of Lentils and Dried Peas in the United States: A Nationally Representative Study

Sanjeevi,

Monsivais

2024

Nutrients

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“…In most surveys, Black men and Black women reported lower consumption of saturated fat, vegetables, potassium, and calcium than White male and White female respondents [ 45-47 ]. In surveys confined to women from low socioeconomic status, non-Hispanic White women and non-Hispanic Black women reported lower consumption of vegetables, legumes, and whole grains, compared with non-Hispanic Asian American women and Mexican American women [ 48 ]. Rehm et al analyzed national secular trends in dietary habits, using the American Heart Association (AHA) diet score [ 47 ].…”

Section: Pathophysiology Of Cvdmentioning

confidence: 99%

Ethnic Disparities in the Risk Factors, Morbidity, and Mortality of Cardiovascular Disease in People With Diabetes

Nair,

Asuzu,

Dagogo-Jack

2024

Journal of the Endocrine Society

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Cardiovascular disease (CVD) is the leading cause of death in people with diabetes. Compared with European Americans, African Americans have more favorable lipid profiles, as indicated by higher high-density lipoprotein cholesterol, lower triglycerides, and less dense low-density lipoprotein particles. The less atherogenic lipid profile translates to lower incidence and prevalence of CVD in African Americans with diabetes, despite higher rates of hypertension and obesity. However, African Americans with CVD experience worse clinical outcomes, including higher mortality, compared with European Americans. This mini-review summarizes the epidemiology, pathophysiology, mechanisms, and management of CVD in people with diabetes, focusing on possible factors underlying the “African American CVD paradox” (lower CVD incidence/prevalence but worse outcomes). Although the reasons for the disparities in CVD outcomes remain to be fully elucidated, we present a critical appraisal of the roles of suboptimal control of risk factors, inequities in care delivery, several biological factors, and psychosocial stress. We identify gaps in current knowledge and propose areas for future investigation.

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“…Mixture models and multilevel regression models have found great flexibility and utility under a Bayesian framework to identify latent profiles in diverse populations (Alexander et al, 2017; De Vito et al, 2021; Stephenson, Sotres‐Alvarez, et al, 2020; Stephenson & Willett, 2023; Yang & Puggioni, 2021). Such parametric models can be easily extended to account for a wide range of survey designs under the WP approach, due to its computational convenience.…”

Section: Future Directions For Health Disparities Researchmentioning

confidence: 99%

“…Several statistical reviews and texts have covered these methods extensively for small area estimation and model‐based geostatistics (Battese et al, 1988; Diggle & Giorgi, 2019; Fay & Herriot, 1979; Ghosh, 2020; Parker et al, 2023; Rao & Molina, 2015; Wakefield et al, 2020). While more innovative Bayesian model‐based approaches have been recently developed and applied in population health research to address subgroup heterogeneity and data sparsity, few have been translated to accommodate survey research settings outside of the spatial statistics domain (Alexander et al, 2017; Stephenson & Willett, 2023; Yang & Puggioni, 2021).…”

Section: Introductionmentioning

confidence: 99%

Bayesian estimation methods for survey data with potential applications to health disparities research

Wu,

Stephenson

2023

WIREs Computational Stats

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Understanding how and why certain communities bear a disproportionate burden of disease is challenging due to the scarcity of data on these communities. Surveys provide a useful avenue for accessing hard‐to‐reach populations, as many surveys specifically oversample understudied and vulnerable populations. When survey data is used for analysis, it is important to account for the complex survey design that gave rise to the data, to avoid biased conclusions. The field of Bayesian survey statistics aims to account for such survey design while leveraging the advantages of Bayesian models, which can flexibly handle sparsity through borrowing of information and provide a coherent inferential framework to easily obtain variances for complex models and data types. For these reasons, Bayesian survey methods seem uniquely well‐poised for health disparities research, where heterogeneity and sparsity are frequent considerations. This review discusses three main approaches found in the Bayesian survey methodology literature: (1) multilevel regression and post‐stratification, (2) weighted pseudolikelihood‐based methods, and (3) synthetic population generation. We discuss the advantages and disadvantages of each approach, examine recent applications and extensions, and consider how these approaches may be leveraged to improve research in population health equity.This article is categorized under: Applications of Computational Statistics > Clinical Trials Statistical and Graphical Methods of Data Analysis > Bayesian Methods and Theory Applications of Computational Statistics > Health and Medical Data/Informatics Statistical and Graphical Methods of Data Analysis > Sampling

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Racial and ethnic heterogeneity in diets of low-income adult females in the United States: results from National Health and Nutrition Examination Surveys from 2011 to 2018

Cited by 11 publications

References 35 publications

Consumption Trends and Eating Context of Lentils and Dried Peas in the United States: A Nationally Representative Study

Consumption Trends and Eating Context of Lentils and Dried Peas in the United States: A Nationally Representative Study

Ethnic Disparities in the Risk Factors, Morbidity, and Mortality of Cardiovascular Disease in People With Diabetes

Bayesian estimation methods for survey data with potential applications to health disparities research

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