RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Daniel F. Sarpong to Insulin Resistance

This is a "connection" page, showing publications Daniel F. Sarpong has written about Insulin Resistance.
Connection Strength

0.445
  1. Sumner AE, Harman JL, Buxbaum SG, Miller BV, Tambay AV, Wyatt SB, Taylor HA, Rotimi CN, Sarpong DF. The triglyceride/high-density lipoprotein cholesterol ratio fails to predict insulin resistance in African-American women: an analysis of Jackson Heart Study. Metab Syndr Relat Disord. 2010 Dec; 8(6):511-4.
    View in: PubMed
    Score: 0.320
  2. Fox ER, Sarpong DF, Cook JC, Samdarshi TE, Nagarajarao HS, Liebson PR, Sims M, Howard G, Garrison R, Taylor HA. The relation of diabetes, impaired fasting blood glucose, and insulin resistance to left ventricular structure and function in African Americans: the Jackson Heart Study. Diabetes Care. 2011 Feb; 34(2):507-9.
    View in: PubMed
    Score: 0.082
  3. Subramanyam MA, Diez-Roux AV, Hickson DA, Sarpong DF, Sims M, Taylor HA, Williams DR, Wyatt SB. Subjective social status and psychosocial and metabolic risk factors for cardiovascular disease among African Americans in the Jackson Heart Study. Soc Sci Med. 2012 Apr; 74(8):1146-54.
    View in: PubMed
    Score: 0.022
  4. Bidulescu A, Liu J, Musani SK, Fox ER, Samdarshi TE, Sarpong DF, Vaccarino V, Wilson PW, Arnett DK, Din-Dzietham R, Taylor HA, Gibbons GH. Association of adiponectin with left ventricular mass in blacks: the Jackson Heart Study. Circ Heart Fail. 2011 Nov; 4(6):747-53.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support