Dietary macro-nutrients intake and risk of obesity and type 2 diabetes: To compute a model to predict probability of developing hypertrophic obesity and type 2 diabetes based on the macro-nutrient intake levels

Shalini Pattabiraman, Riddhi Vyas, Shankar Srinivasan

Research output: Contribution to journalArticlepeer-review

Abstract

Good nutrition and healthy diet are the primary pre-requisites for a balanced lifestyle. Improper proportions of dietary macronutrients in the food lead to implicated risk of chronic diseases. Obesity is the global cause for many chronic diseases, thus diet has an important role towards the risk for occurrence of these diseases. The purpose of this study is to compute a model to predict the risk for obesity and diabetes based on the macronutrient intake levels. The statistical analysis software (SAS) datasets from NHANES (2013-2014) were extracted, then using descriptive statistical analysis and logistic regression analysis, a model is computed with significant predictive macronutrient intake variables. A receiver operating characteristic (ROC) curve and predicted probability plots were analysed for the accuracy of the model. It was found that the significant predictor variables identified for each disease risk corroborates with the literature studies, but further studies may be required with normalisation of the data in order to validate the results.

Original languageEnglish (US)
Pages (from-to)457-474
Number of pages18
JournalInternational Journal of Medical Engineering and Informatics
Volume12
Issue number5
DOIs
StatePublished - 2020

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Biomaterials
  • Biomedical Engineering
  • Health Informatics

Keywords

  • Descriptive statistical analysis
  • Dietary intake
  • Macro-nutrients
  • NHANES
  • National Health and Nutrition Examination Survey
  • Obesity
  • Prediction model
  • Predictor variables
  • ROCs
  • Receiver operating characteristics
  • SAS
  • Statistical analysis software
  • Type 2 diabetes

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