Εκτίμηση του επιπέδου παχυσαρκίας με βάση δημογραφικά στοιχεία και διατροφικές συνήθειες

Τάραϊ, Άντζελα

Master Thesis

Author

Τάραϊ, Άντζελα

Date

2025

Abstract

Obesity is one of the major public health challenges worldwide, as it is associated with an increased risk of cardiometabolic diseases, type 2 diabetes and other severe health complications. Beyond its physical consequences, obesity also negatively affects psychosocial well-being and overall quality of life. The aim of this study was to investigate the factors associated with the occurrence and severity of obesity, focusing on the influence of demographic characteristics, dietary habits and physical activity. The analysis was based on data from 485 individuals originating from Mexico, Peru and Colombia, including demographic information, family history of obesity, dietary patterns and lifestyle behaviors. Descriptive statistics, correlation tests (Pearson’s χ², Kruskal–Wallis non-parametric test, Kolmogorov–Smirnov normality test) as well as regression models were applied. In particular, binary logistic regression was used to explore the predictors of obesity presence, while multinomial logistic regression was applied to analyze the different obesity levels. The results indicated that family history of obesity, age, daily water consumption (CH2O), physical activity per week (FAF), and, in some cases, eating habits such as the frequency of food consumption between meals (CAEC), play an important role. Specifically, a positive family history significantly increases the likelihood of obesity, whereas higher physical activity and adequate water intake appear to be protective factors. In conclusion, obesity is a multifactorial condition influenced by family background, behavior, and lifestyle, and the findings of this study may contribute to the design of targeted prevention and intervention strategies.

Postgraduate Studies Programme

Εφαρμοσμένη Στατιστική

Department

Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

Number of pages

119

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/18198

Collections

Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα