The National Transdisciplinary Collaborative Center for African American Men's Health (NTCC), proposed by the University of Minnesota (UMN) in partnership with the University of Alabama at Birmingham (UAB), seeks to address, through a regional approach, health disparities in conditions affecting African American men on a national scope. The program will target disparities in unintentional and violence-related injuries and chronic diseases in African American men across the life course of this population. The proposed NTCC is built upon the framework of an existing national consortium - the Enhancing Minority Participation in Clinical Trials (EMPaCT) - and will utilize the established infrastructur of the five major EMPaCT centers: UMN (Midwest), UAB (Southeast), Johns Hopkins University (East), MD Anderson Cancer Center (Southwest), and the University of California, Davis (West).The goal is to develop, implement, and evaluate interventions that will improve African American men's health through research, outreach, and training. This goal will be pursued through the broad partnership and significant collaboration with our national supporters, the National Baptist Convention Foundation USA, Inc. , the National Football League , and 100 Black Men of America, Inc. To achieve our goal, we will implement the following specific aims:
Aim 1. Conduct a one-year planning and assessment phase.
Aim 2. Develop, implement, and evaluate a collaborative research program in the core areas of differential health outcomes for African American men: unintentional and violence -related injuries, cardiovascular disease, cancer, and stroke;
Aim 3. Establish four cores (Administrative, Collaborations and Partnerships, Research, and Intervention Implementation/Diffusion) to support the proposed and future research activities;
Aim 4. Develop, implement, and evaluate a Pilot Project Program in collaboration with national community-based partners and in conjunction with EMPaCT Consortium members;
Aim 5. Disseminate research results and promote research uptake through an integrated approach that uses both traditional and social media in order to engage stakeholders at all levels.

Public Health Relevance

The National Transdisciplinary Collaborative Center for African American Men's Health will focus on the social, economic, biologic and behavioral determinants of morbidity and premature mortality among African American men across the life course and will develop academic-community collaborative strategies and interventions to coordinate and integrate the fragmented efforts for men's health awareness, disease management, intervention and research at regional, state, and local levels

National Institute of Health (NIH)
National Institute on Minority Health and Health Disparities (NIMHD)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZMD1-RN (03))
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Dankwa-Mullan, Irene
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University of Minnesota Twin Cities
Schools of Medicine
United States
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Arsoniadis, Elliot G; Fan, Yunhua; Jarosek, Stephanie et al. (2018) Decreased Use of Sphincter-Preserving Procedures Among African Americans with Rectal Cancer. Ann Surg Oncol 25:720-728
Lin, Lifeng; Chu, Haitao; Murad, Mohammad Hassan et al. (2018) Empirical Comparison of Publication Bias Tests in Meta-Analysis. J Gen Intern Med 33:1260-1267
Ganaie, Arsheed A; Beigh, Firdous H; Astone, Matteo et al. (2018) BMI1 Drives Metastasis of Prostate Cancer in Caucasian and African-American Men and Is A Potential Therapeutic Target: Hypothesis Tested in Race-specific Models. Clin Cancer Res 24:6421-6432
Lin, Lifeng; Chu, Haitao (2018) Bayesian multivariate meta-analysis of multiple factors. Res Synth Methods 9:261-272
Lin, Lifeng; Zhang, Jing; Hodges, James S et al. (2017) Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package. J Stat Softw 80:
Zhang, Jing; Chu, Haitao; Hong, Hwanhee et al. (2017) Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness. Stat Methods Med Res 26:2227-2243
Scarinci, Isabel C; Moore, Artisha; Benjamin, Regina et al. (2017) A participatory evaluation framework in the establishment and implementation of transdisciplinary collaborative centers for health disparities research. Eval Program Plann 60:37-45
Chen, Yong; Liu, Yulun; Ning, Jing et al. (2017) A composite likelihood method for bivariate meta-analysis in diagnostic systematic reviews. Stat Methods Med Res 26:914-930
Lin, Lifeng; Chu, Haitao; Hodges, James S (2016) Sensitivity to Excluding Treatments in Network Meta-analysis. Epidemiology 27:562-9
Ho, Yen-Yi; Guan, Weihua; O'Connell, Michael et al. (2016) Powerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19. BMC Proc 10:251-255

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