Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree
Background: The purpose of this study was to determine the influence of some eating habits on body mass index (BMI) using a regression model created via the classification and regression tree method (CART). Methods: The study was conducted using a questionnaire specially developed for the study,...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2022-06-01
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| Series: | Iranian Journal of Public Health |
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| Online Access: | https://ijph.tums.ac.ir/index.php/ijph/article/view/25423 |
| _version_ | 1818117253599592448 |
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| author | Magdalena Platikanova Antoaneta Yordanova Petya Hristova |
| author_facet | Magdalena Platikanova Antoaneta Yordanova Petya Hristova |
| author_sort | Magdalena Platikanova |
| collection | DOAJ |
| description |
Background: The purpose of this study was to determine the influence of some eating habits on body mass index (BMI) using a regression model created via the classification and regression tree method (CART).
Methods: The study was conducted using a questionnaire specially developed for the study, evaluated for reliability and validity. In addition to demographics (age and sex), the questions concern the timing of the meals and the type of food consumed. The data contains records for 533 people (322 women and 211 men) aged 18 to 65 years. The survey was conducted in the period 2019-2021 in Stara Zagora, Bulgaria. Data were processed using descriptive statistics, and regression and classification data mining method CART.
Results: A CART model with a dependent variable BMI and predictors Sex, Age, Breakfast type, Breakfast time, Lunchtime, Lunch type, Dinner time, Dinner type have been created. The obtained model is statistically significant at a significance level of P<0.0001 and a coefficient of determination R2 = 0.495. The normalized importance of the factors that affect the BMI is as follows: Sex (100%), Age (61.4%), Lunch type (26. 0%), Lunchtime (18.8%), Dinner time (13.9%), and Breakfast type (13.2%). Women have a lower BMI than men. BMI increases with age.
Conclusion: The CART method allows to make a classification by the predictors used and gives opportunities for a more in-depth analysis of the reasons for the increase in BMI. The level of influence of diet and eating habits (type of food, time of consumption) on BMI was determined.
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| first_indexed | 2024-12-11T04:35:28Z |
| format | Article |
| id | doaj.art-9cb189b444734e62a9be7154ddcf521d |
| institution | Directory Open Access Journal |
| issn | 2251-6085 2251-6093 |
| language | English |
| last_indexed | 2024-12-11T04:35:28Z |
| publishDate | 2022-06-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Public Health |
| spelling | doaj.art-9cb189b444734e62a9be7154ddcf521d2022-12-22T01:20:45ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852251-60932022-06-0151610.18502/ijph.v51i6.9672Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression TreeMagdalena Platikanova0Antoaneta Yordanova1Petya Hristova2Department of Hygiene, Epidemiology, Microbiology, Parasitology and Infectious Diseases, Medical Faculty, Trakia University, Stara Zagora 6000, BulgariaMedical Collеge, Trakia University, Stara Zagora 6000, BulgariaDepartment of Hygiene, Epidemiology, Microbiology, Parasitology and Infectious Diseases, Medical Faculty, Trakia University, Stara Zagora 6000, Bulgaria Background: The purpose of this study was to determine the influence of some eating habits on body mass index (BMI) using a regression model created via the classification and regression tree method (CART). Methods: The study was conducted using a questionnaire specially developed for the study, evaluated for reliability and validity. In addition to demographics (age and sex), the questions concern the timing of the meals and the type of food consumed. The data contains records for 533 people (322 women and 211 men) aged 18 to 65 years. The survey was conducted in the period 2019-2021 in Stara Zagora, Bulgaria. Data were processed using descriptive statistics, and regression and classification data mining method CART. Results: A CART model with a dependent variable BMI and predictors Sex, Age, Breakfast type, Breakfast time, Lunchtime, Lunch type, Dinner time, Dinner type have been created. The obtained model is statistically significant at a significance level of P<0.0001 and a coefficient of determination R2 = 0.495. The normalized importance of the factors that affect the BMI is as follows: Sex (100%), Age (61.4%), Lunch type (26. 0%), Lunchtime (18.8%), Dinner time (13.9%), and Breakfast type (13.2%). Women have a lower BMI than men. BMI increases with age. Conclusion: The CART method allows to make a classification by the predictors used and gives opportunities for a more in-depth analysis of the reasons for the increase in BMI. The level of influence of diet and eating habits (type of food, time of consumption) on BMI was determined. https://ijph.tums.ac.ir/index.php/ijph/article/view/25423Body mass index (BMI)Dietary habitsClassification and regression tree (CART method) |
| spellingShingle | Magdalena Platikanova Antoaneta Yordanova Petya Hristova Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree Iranian Journal of Public Health Body mass index (BMI) Dietary habits Classification and regression tree (CART method) |
| title | Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree |
| title_full | Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree |
| title_fullStr | Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree |
| title_full_unstemmed | Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree |
| title_short | Dependence of Body Mass Index on Some Dietary Habits: An Application of Classification and Regression Tree |
| title_sort | dependence of body mass index on some dietary habits an application of classification and regression tree |
| topic | Body mass index (BMI) Dietary habits Classification and regression tree (CART method) |
| url | https://ijph.tums.ac.ir/index.php/ijph/article/view/25423 |
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