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Differential and Combined Effects of Physical Activity Profiles and Prohealth Behaviors on Diabetes Prevalence among Blacks and Whites in the US Population: A Novel Bayesian Belief Network Machine Learning Analysis
Joint Authors
Jean-Louis, Girardin
Seixas, Azizi
Zizi, Ferdinand
McFarlane, Samy I.
Henclewood, Dwayne A.
Langford, Aisha T.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The current study assessed the prevalence of diabetes across four different physical activity lifestyles and infer through machine learning which combinations of physical activity, sleep, stress, and body mass index yield the lowest prevalence of diabetes in Blacks and Whites.
Data were extracted from the National Health Interview Survey (NHIS) dataset from 2004–2013 containing demographics, chronic diseases, and sleep duration (N = 288,888).
Of the total sample, 9.34% reported diabetes (where the prevalence of diabetes was 12.92% in Blacks/African Americans and 8.68% in Whites).
Over half of the sample reported sedentary lifestyles (Blacks were more sedentary than Whites), approximately 20% reported moderately active lifestyles (Whites more than Blacks), approximately 15% reported active lifestyles (Whites more than Blacks), and approximately 6% reported very active lifestyles (Whites more than Blacks).
Across four different physical activity lifestyles, Blacks consistently had a higher diabetes prevalence compared to their White counterparts.
Physical activity combined with healthy sleep, low stress, and average body weight reduced the prevalence of diabetes, especially in Blacks.
Our study highlights the need to provide alternative and personalized behavioral/lifestyle recommendations to generic national physical activity recommendations, specifically among Blacks, to reduce diabetes and narrow diabetes disparities between Blacks and Whites.
American Psychological Association (APA)
Seixas, Azizi& Henclewood, Dwayne A.& Langford, Aisha T.& McFarlane, Samy I.& Zizi, Ferdinand& Jean-Louis, Girardin. 2017. Differential and Combined Effects of Physical Activity Profiles and Prohealth Behaviors on Diabetes Prevalence among Blacks and Whites in the US Population: A Novel Bayesian Belief Network Machine Learning Analysis. Journal of Diabetes Research،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1174512
Modern Language Association (MLA)
Seixas, Azizi…[et al.]. Differential and Combined Effects of Physical Activity Profiles and Prohealth Behaviors on Diabetes Prevalence among Blacks and Whites in the US Population: A Novel Bayesian Belief Network Machine Learning Analysis. Journal of Diabetes Research No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1174512
American Medical Association (AMA)
Seixas, Azizi& Henclewood, Dwayne A.& Langford, Aisha T.& McFarlane, Samy I.& Zizi, Ferdinand& Jean-Louis, Girardin. Differential and Combined Effects of Physical Activity Profiles and Prohealth Behaviors on Diabetes Prevalence among Blacks and Whites in the US Population: A Novel Bayesian Belief Network Machine Learning Analysis. Journal of Diabetes Research. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1174512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174512