Health behaviours as predictors of the Mediterranean diet adherence: a decision tree approach

Author:

Bôto Joana Margarida,Marreiros Ana,Diogo Patrícia,Pinto Ezequiel,Mateus Maria Palma

Abstract

Abstract Objective: This study aimed to identify health behaviours that determine adolescent’s adherence to the Mediterranean diet (MD) through a decision tree statistical approach. Design: Cross-sectional study, with data collected through a self-fulfilment questionnaire with five sections: (1) eating habits; (2) adherence to the MD (KIDMED index); (3) physical activity; (4) health habits and (5) socio-demographic characteristics. Anthropometric and blood pressure data were collected by a trained research team. The Automatic Chi-square Interaction Detection (CHAID) method was used to identify health behaviours that contribute to a better adherence to the MD. Setting: Eight public secondary schools, in Algarve, Portugal. Participants: Adolescents with ages between 15 and 19 years (n 325). Results: According to the KIDMED index, we found a low adherence to MD in 9·0 % of the participants, an intermediate adherence in 45·5 % and a high adherence in 45·5 %. Participants that regularly have breakfast, eat vegetable soup, have a second piece of fruit/d, eat fresh or cooked vegetables 1 or more times a day, eat oleaginous fruits at least 2 to 3 times a week, and practice sports and leisure physical activities outside school show higher adherence to the MD (P < 0·001). Conclusions: The daily intake of two pieces of fruit and vegetables proved to be a determinant health behaviour for high adherence to MD. Strategies to promote the intake of these foods among adolescents must be developed and implemented.

Publisher

Cambridge University Press (CUP)

Subject

Public Health, Environmental and Occupational Health,Nutrition and Dietetics,Medicine (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence-based Approaches to Assess Dietary Patterns: A Systematic Review;Journal of Nutrition Sciences and Food Technology;2024-06-01

2. The Promotion of Women's Leisure Sports Behavior Based on Improved Decision Tree Algorithm;International Journal of Intelligent Information Technologies;2023-12-11

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