Ghiasi Hafezi, Somayeh, Varasteh, Naiemeh, Bijari, Moniba, Rashidmayvan, Mohammad, Honarmand Rahaghi, Bahareh, Azadi, Nagmeh, Ghodsi, Alireza, Hasanzadeh, Elaheh, Darroudi, Susan, Effati, Sohrab, Ghamsary, Mark, Ebrahimi, Mahmoud, Ghazizade, Sara, Alami Arani, Iman, Assaran-Darban, Reza, Saffar Soflaei, Sara, Ferns, Gordon, Ghayour-Mobarhan, Majid. (1402). Evaluating the Dietary Factors Most Closely Associated with Diabetes Mellitus Using a Decision-Making Tree Algorithm. , 11(3), 193-199. doi: 10.22038/jnfh.2023.72519.1445
Somayeh Ghiasi Hafezi; Naiemeh Varasteh; Moniba Bijari; Mohammad Rashidmayvan; Bahareh Honarmand Rahaghi; Nagmeh Azadi; Alireza Ghodsi; Elaheh Hasanzadeh; Susan Darroudi; Sohrab Effati; Mark Ghamsary; Mahmoud Ebrahimi; Sara Ghazizade; Iman Alami Arani; Reza Assaran-Darban; Sara Saffar Soflaei; Gordon A Ferns; Majid Ghayour-Mobarhan. "Evaluating the Dietary Factors Most Closely Associated with Diabetes Mellitus Using a Decision-Making Tree Algorithm". , 11, 3, 1402, 193-199. doi: 10.22038/jnfh.2023.72519.1445
Ghiasi Hafezi, Somayeh, Varasteh, Naiemeh, Bijari, Moniba, Rashidmayvan, Mohammad, Honarmand Rahaghi, Bahareh, Azadi, Nagmeh, Ghodsi, Alireza, Hasanzadeh, Elaheh, Darroudi, Susan, Effati, Sohrab, Ghamsary, Mark, Ebrahimi, Mahmoud, Ghazizade, Sara, Alami Arani, Iman, Assaran-Darban, Reza, Saffar Soflaei, Sara, Ferns, Gordon, Ghayour-Mobarhan, Majid. (1402). 'Evaluating the Dietary Factors Most Closely Associated with Diabetes Mellitus Using a Decision-Making Tree Algorithm', , 11(3), pp. 193-199. doi: 10.22038/jnfh.2023.72519.1445
Ghiasi Hafezi, Somayeh, Varasteh, Naiemeh, Bijari, Moniba, Rashidmayvan, Mohammad, Honarmand Rahaghi, Bahareh, Azadi, Nagmeh, Ghodsi, Alireza, Hasanzadeh, Elaheh, Darroudi, Susan, Effati, Sohrab, Ghamsary, Mark, Ebrahimi, Mahmoud, Ghazizade, Sara, Alami Arani, Iman, Assaran-Darban, Reza, Saffar Soflaei, Sara, Ferns, Gordon, Ghayour-Mobarhan, Majid. Evaluating the Dietary Factors Most Closely Associated with Diabetes Mellitus Using a Decision-Making Tree Algorithm. , 1402; 11(3): 193-199. doi: 10.22038/jnfh.2023.72519.1445

Evaluating the Dietary Factors Most Closely Associated with Diabetes Mellitus Using a Decision-Making Tree Algorithm

Journal of Nutrition,Fasting and Health
مقاله 4، دوره 11، شماره 3، پاییز 2023، صفحه 193-199    اصل مقاله (1.06 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22038/jnfh.2023.72519.1445
نویسندگان
Somayeh Ghiasi Hafezi1، 2؛ Naiemeh Varasteh2؛ Moniba Bijari2؛ Mohammad Rashidmayvan3؛ Bahareh Honarmand Rahaghi4؛ Nagmeh Azadi2؛ Alireza Ghodsi5؛ Elaheh Hasanzadeh4؛ Susan Darroudi2؛ Sohrab Effati1؛ Mark Ghamsary6؛ Mahmoud Ebrahimi7؛ Sara Ghazizade2؛ Iman Alami Arani2؛ Reza Assaran-Darban8؛ Sara Saffar Soflaei2؛ Gordon A Ferns9؛ Majid Ghayour-Mobarhan* 2، 10
1Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran.
2International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
3Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research Center, Gonabad University of Medical Science, Gonabad, Iran.
4Department of Statistics, Faculty of Mathematics and Computer Sciences, Allameh Tabataba’i University, Tehran, Iran.
5Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
6Department of Biostatistics and Epidemiology California, Loma Linda University, USA.
7Cardiovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
8Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
9Division of Medical Education, Brighton & Sussex Medical School, Falmer, Brighton, Sussex, UK.
10Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
چکیده
Introduction: The development of type 2 diabetes mellitus (T2DM) is associated with lifestyle factors, including dietary patterns. A diet rich in macro- and micronutrients has been reported to reduce the risk of T2DM. Therefore, this study aimed to identify the dietary factors most closely associated with T2DM in subjects within the MASHAD cohort using a decision tree algorithm. Methods: This cross-sectional study was conducted on 9704 individuals from the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD), of whom 5936 participants completed a 24h dietary recall questionnaire. Macronutrients and micronutrients were estimated using Diet Plan 6 software. A decision tree algorithm was utilized to evaluate the most crucial dietary nutrient intakes concerning T2DM. Results: The algorithm showed a high specificity (81.34%) but low sensitivity (34.21%), which could predict T2DM with a low-to-moderate diagnostic ability (AUC=0.58). Based on the decision tree, eight features, including dietary potassium, total sugar, sucrose, riboflavin, thiamin, sodium, total nitrogen, and magnesium, were T2DM’s most critical dietary components. Conclusion: Based on the results, consuming sugar, salt, and vitamin B was the most critical related dietary intake to T2DM. Dietary interventions may be a cost-effective strategy for preventing T2DM.
کلیدواژه‌ها
Diabetes mellitus؛ Nutrients؛ Diet؛ Cohort studies
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