Tanya Agurs-Collins

Dr. Tanya Agurs-Collins

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in American Journal of Public Health
Verified
Journal Article
Closed access
Tanya Agurs-CollinsTanya Agurs-Collins
Tanya Agurs-Collins
SPSusan Persky
Susan Persky
EPElectra D. Paskett
Electra D. Paskett
SBShari L. Barkin
Shari L. Barkin
HMHelen I. Meissner
Helen I. Meissner
TFTilda Farhat
Tilda Farhat
Multilevel interventions can be uniquely effective at addressing minority health and health disparities, but they pose substantial methodological, data analytic, and assessment challenges that must be considered when designing and applying interventions and assessment. To facilitate the adoption of multilevel interventions to reduce health disparities, we outline areas of need in filling existing operational challenges to the design and assessment of multilevel interventions. We discuss areas of development that address overarching constructs inherent in multilevel interventions, with a particular focus on their application to minority health and health disparities. Our approach will prove useful to researchers, as it allows them to integrate information related to health disparities research into the framework of broader constructs with which they are familiar. We urge researchers to prioritize building transdisciplinary teams and the skills needed to overcome the challenges in designing and assessing multilevel interventions, as even small contributions can accelerate progress toward improving minority health and reducing health disparities. To make substantial progress, however, a concerted and strategic effort, including work to advance analytic techniques and measures, is needed.

22 December 2015 in Obesity
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Journal Article
Open access
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MBMolly S. Bray
Molly S. Bray
RLRuth J.F. Loos
Ruth J.F. Loos
JMJeanne M. McCaffery
Jeanne M. McCaffery
CLCharlotte Ling
Charlotte Ling
PFPaul W Franks
Paul W Franks
TGThe Conference Working Group
The Conference Working Group
Objective: Precision medicine utilizes genomic and other data to optimize and personalize treatment. Although more than 2,500 genetic tests are currently available, largely for extreme and/or rare phenotypes, the question remains whether this approach can be used for the treatment of common, complex conditions like obesity, inflammation, and insulin resistance, which underlie a host of metabolic diseases.Methods: This review, developed from a Trans‐NIH Conference titled “Genes, Behaviors, and Response to Weight Loss Interventions,” provides an overview of the state of genetic and genomic research in the area of weight change and identifies key areas for future research.Results: Although many loci have been identified that are associated with cross‐sectional measures of obesity/body size, relatively little is known regarding the genes/loci that influence dynamic measures of weight change over time. Although successful short‐term weight loss has been achieved using many different strategies, sustainable weight loss has proven elusive for many, and there are important gaps in our understanding of energy balance regulation.Conclusions: Elucidating the molecular basis of variability in weight change has the potential to improve treatment outcomes and inform innovative approaches that can simultaneously take into account information from genomic and other sources in devising individualized treatment plans.

21 March 2024 in Advances in Nutrition
Verified
Journal Article
Open access
Tanya Agurs-CollinsTanya Agurs-Collins
Tanya Agurs-Collins
JAJennifer Alvidrez
Jennifer Alvidrez
SFSanae ElShourbagy Ferreira
Sanae ElShourbagy Ferreira
MEMary Evans
Mary Evans
KGKimberlea Gibbs
Kimberlea Gibbs
ABAlison Gm Brown
Alison Gm Brown
Disparities in nutrition, such as poor diet quality and inadequate nutrient intake, arise from multiple factors and are related to adverse health outcomes such as obesity, diabetes, cardiovascular disease, and some cancers. The aim of the current perspective is to present a nutrition-centric socioecological framework that delineates determinants and factors that contribute to diet and nutrition-related disparities among disadvantaged populations. The Nutrition Health Disparities Framework (NHDF) describes the domains (biological, behavioral, physical/built environment, sociocultural environment, and healthcare system) that influence nutrition-related health disparities through the lens of each level of influence (that is, individual, interpersonal, community, and societal). On the basis of the scientific literature, the authors engaged in consensus decision making in selecting nutrition-related determinants of health within each domain and socioecological level when creating the NHDF. The framework identifies how neighborhood food availability and access (individual/built environment) intersect with cultural norms and practices (interpersonal/sociocultural environment) to influence dietary behaviors, exposures, and risk of diet-related diseases. In addition, the NHDF shows how factors such as genetic predisposition (individual/biology), family dietary practices (interpersonal/behavioral), and food marketing policies (societal) may impact the consumption of unhealthy foods and beverages and increase chronic disease risk. Family and peer norms (interpersonal/behavior) related to breastfeeding and early childhood nutrition interact with resource-poor environments such as lack of access to preventive healthcare settings (societal/healthcare system) and low usage of federal nutrition programs (societal/behavioral), which may increase risk of poor nutrition during childhood and food insecurity. The NHDF describes the synergistic interrelationships among factors at different levels of the socioecological model that influence nutrition-related outcomes and exacerbate health disparities. The framework is a useful resource for nutrition researchers, practitioners, food industry leaders, and policymakers interested in improving diet-related health outcomes and promoting health equity in diverse populations.

1 September 2009 in The American Journal of Clinical Nutrition
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Journal Article
Open access
PDF file
Tanya Agurs-CollinsTanya Agurs-Collins
Tanya Agurs-Collins
LRLynn Rosenberg
Lynn Rosenberg
KMKepher Makambi
Kepher Makambi
JPJulie R Palmer
Julie R Palmer
LALucile Adams-Campbell
Lucile Adams-Campbell
Background: No studies have examined dietary patterns and breast cancer risk in a large cohort of African American women.Objective: We investigated t

20 January 2015 in Journal of Cancer Education
Verified
Journal Article
Closed access
PDF file
Tanya Agurs-CollinsTanya Agurs-Collins
Tanya Agurs-Collins
RFRebecca Ferrer
Rebecca Ferrer
AOAllison Ottenbacher
Allison Ottenbacher
EWErika A. Waters
Erika A. Waters
MOMary E. O’connell
Mary E. O’connell
JHJada G. Hamilton
Jada G. Hamilton

28 December 2016 in Nutrients
Verified
Journal Article
Open access
PDF file
SNShakira Nelson
Shakira Nelson
Ken BataiKen Batai
Ken Batai
CAChiledum Ahaghotu
Chiledum Ahaghotu
Tanya Agurs-CollinsTanya Agurs-Collins
Tanya Agurs-Collins
RKRick Kittles
Rick Kittles
African American men have higher incidence rates of aggressive prostate cancer, where high levels of calcium and serum vitamin D deficient levels play a role in the racial differences in incidence. In this study, we examined associations of serum vitamin D with aggressive prostate cancer to improve our understanding of higher susceptibility of aggressive disease in this racial cohort. From Howard University Hospital, 155 African American men with clinically-identified prostate cancer were identified; 46 aggressive cases, and 58 non-aggressive cases. Serum vitamin D was assessed from fasting blood samples, and total calcium intake was assessed using the Block Food Frequency Questionnaire. Vitamin D receptor polymorphisms from three different loci were genotyped; rs731236, rs1544410, and rs11568820. Multivariate logistic regression models were used to determine odds ratios (OR) and 95% confidence intervals (CI) comparing aggressive to non-aggressive prostate cancer. Vitamin D deficiency (<20 ng/mL) significantly increased risk of aggressive disease (OR: 3.1, 95% CI: 1.03–9.57, p-value = 0.04). Stratification by total calcium showed high calcium levels (≥800 mg/day) modified this association (OR: 7.3, 95% CI: 2.15–47.68, p-interaction = 0.03). Genetic variant rs11568820 appeared to increase the magnitude of association between deficient serum vitamin D and aggressive prostate cancer (OR: 3.64, 95% CI: 1.12–11.75, p-value = 0.05). These findings suggest that high incidence of aggressive prostate cancer risk in African American men may be due in-part to deficient levels of serum vitamin D. Other factors, including genetics, should be considered for future studies.