see attached documents 

You will write a 2-3 page summary on the topic.

– Choose reputable websites (do NOT choose,, etc.),

books and/or journal articles to research the topic you chose. Describe background

information on the nutrient/supplement in relation to the population or disease.

o What is the nutrient/supplement?

o What is the relation between the specific nutrient/supplement and the

population or disease state?

– Then find 1 recent peer reviewed journal article (2016 or newer). Summarize the

methods, specific population that they studied, results/findings and overall

conclusion of the article.

– Based on this article and the other reading you did on the topic; what is your opinion

on the conclusions?

References: Please include a citation of all sources you use in APA format.



& 2017 American Journal of Preventive Medicine. Pu

From the 1D
Medical Cen
Medicine, Ba
Boston, Mass
Atlanta, Geo
Wellness, M
Public Healt
Center, Jack
Feinberg Sch

Medicine, T


blished by Elsevier Inc. All r

Modifiable Lifestyle Risk Factors and Incident Diabetes
in African Americans

Joshua J. Joseph, MD,1,2 Justin B. Echouffo-Tcheugui, MD, PhD,3,4

Sameera A. Talegawkar, PhD,5 Valery S. Effoe, MD,6 Victoria Okhomina, MPH,7

Mercedes R. Carnethon, PhD,8 Willa A. Hsueh, MD,1 Sherita H. Golden, MD2

Introduction: The associations of modifiable lifestyle risk factors with incident diabetes are not well
investigated in African Americans (AAs). This study investigated the association of modifiable
lifestyle risk factors (exercise, diet, smoking, TV watching, and sleep-disordered breathing burden)
with incident diabetes among AAs.

Methods: Modifiable lifestyle risk factors were characterized among 3,252 AAs in the Jackson
Heart Study who were free of diabetes at baseline (2000–2004) using baseline questionnaires and
combined into risk factor categories: poor (0–3 points), average (4–7 points), and optimal (8–11
points). Incidence rate ratios (IRR) for diabetes (fasting glucose ≥126 mg/dL, physician diagnosis,
use of diabetes drugs, or glycosylated hemoglobin A1c ≥6.5%) were estimated using Poisson
regression modeling adjusting for age, sex, education, occupation, systolic blood pressure, and BMI.
Outcomes were collected 2005–2012 and data analyzed in 2016.

Results: Over 7.6 years, there were 560 incident diabetes cases (mean age¼53.3 years, 64% female).
An average or optimal compared to poor risk factor categorization was associated with a 21%
(IRR¼0.79, 95% CI¼0.62, 0.99) and 31% (IRR¼0.69, 95% CI¼0.48, 1.01) lower risk of diabetes.
Among participants with BMI o30, IRRs for average or optimal compared to poor categorization
were 0.60 (95% CI¼0.40, 0.91) and 0.53 (95% CI¼0.29, 0.97) versus 0.90 (95% CI¼0.67, 1.21) and
0.83 (95% CI¼0.51, 1.34) among participants with BMI ≥30.

Conclusions: A combination of modifiable lifestyle factors are associated with a lower risk of
diabetes among AAs, particularly among those without obesity.
Am J Prev Med 2017;53(5):e165–e174. & 2017 American Journal of Preventive Medicine. Published by
Elsevier Inc. All rights reserved.


epartment of Medicine, The Ohio State University, Wexner
ter, Columbus, Ohio; 2Johns Hopkins University, School of
ltimore, Maryland; 3Division of Endocrinology, Diabetes and
, Brigham and Women’s Hospital, Harvard Medical School,
achusetts; 4Rollins School of Public Health, Emory University,
rgia; 5Sumner M. Redstone Global Center for Prevention and
ilken Institute School of Public Health at t