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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
المؤلفون المشاركون
Jean-Louis, Girardin
Seixas, Azizi
Zizi, Ferdinand
McFarlane, Samy I.
Henclewood, Dwayne A.
Langford, Aisha T.
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-27
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1174512
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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