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Dataset Information

Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA).


ABSTRACT:

Background

Gender differences in dietary patterns and physical activity are known to influence metabolic health, but research exploring these differences using principal component analysis (PCA) is limited. This study aims to identify distinct patterns of eating behaviour, body composition and physical activity between men and women, in order to develop tailored interventions.

Methods

A cross-sectional study was conducted on 2,509 adults attending a metabolic health centre. Data on eating habits, physical activity and body composition were collected by means of questionnaires and bioimpedance analysis. PCA was used to identify patterns of eating behaviour and physical activity. Statistical analyses were performed to explore gender-specific differences.

Results

Based o

SUBMITTER: Feraco A 

PROVIDER: S-EPMC11653845 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature