Predicting BMI Using ONLY Health/Lifestyle Factors (Height and Weight Excluded)

Part 1 of 2 — Linear Regression

Warning

Intro

BMI? But BM-Why?

Dataset

Model

Features

  1. Does obesity/overweightness run in your family history?
  • An answer of yes significantly rose the level of BMI predicted by the model

2. Age (in years)

  • Older ages significantly rose the level of BMI predicted by the model

3. How do you transport to work?

  • Public Transportation significantly rose the level of BMI predicted by the model. Motorbikes and Bicycles had a very small effect on the model. Walking had little to no effect on the model.

4. How frequently do you drink alcohol?

  • An answer of never significantly dropped the level of BMI predicted by the model. With answers of sometimes or frequently having a similar relationship albeit far less significant

5. How frequently do you consume vegetables?

  • Higher frequencies significantly rose the level of BMI predicted by the model

6. How frequently do you consume snacks?

  • An answer of frequently significantly dropped the level of BMI predicted by the model. An answer of sometimes or never had the opposite effect but was a lot less significant

7. Do you frequently consume high calories foods?

  • An answer of yes rose the level of BMI predicted by the model

8. How frequently do you exercise?

  • Higher frequencies dropped the level of BMI predicted by the model

9. Do you monitor your calories?

  • An answer of yes dropped the level of BMI predicted by the model

10. How many liters of water do you drink in a day?

  • Higher numbers of liters rose the level of BMI predicted by the model

11. Are you a male?

  • Of special note here is that the study only included male and female in their gender question. It is not clear whether anyone transgender was part of the study or if anyone who identifies outside of the gender binary was included or whether those options were included in the surveys/interviews. An answer of yes to the question of are you a male dropped the level of BMI predicted by the model but the effect was very small.

12. How many main meals do you eat in a day?

  • Higher frequencies rose the level of BMI predicted by the model but the effect was very small

Special Note

So, Were the Model’s Predictions Accurate?

What’s Part 2 Of This Post Going To Be About?

Sounds Awesome! Can I Try This Model Out?

Coolio Hermano! Your Blog Post Made Me Think Of Someone I Care About Whose BMI/Weight Appears Concerning To Me. How Should I Approach This Conversation?

If you, yourself, are struggling with an eating disorder, please contact the National Eating Disorder Association helpline at https://www.nationaleatingdisorders.org/help-support/contact-helpline.

Chris de la Cruz is a guacamole-eating and fitness-loving data scientist, actor, freestyler, and beatboxer (under the moniker MC Lightbulb)