• Noncommunicable diseases have been on the rise, contributing to large amounts of morbidity and mortality.

• However, these diseases are preventable with appropriate lifestyle changes.

• However, there is a lack of tools that will help estimate the risk of these diseases.

• Hence, a study was conducted to develop and validate a multivariable model with the following objectives:

            1.  To determine the life expectancy of young adults

            2.  To identify those young adults at risk of lifestyle-related disorders.

• A cross-sectional approach was used using the data of 38,481 participants from the National Nutrition and Health Examination Survey (1994-2014).

• The risk factors included in the model are smoking, physical activity, diet, and BMI.

• The lifestyle-related diseases included in the model were:

          1. Diabetes,

          2. Arrhythmia,

          3. Coronary artery disease,

          4. Myocardial infarction,

           5. Stroke,

           6. Malignant neoplasms.

• The model showed good predictive potential, with the area under the ROC being 0.846.

• The model also estimated the deferred effects of lifestyle and its impact on life expectancy.

•  Hence, this model can motivate young adults to undergo lifestyle modifications.

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