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

Area of Science:

• Metabolic health research
• Behavioral science
• Nutritional epidemiology

Background:

• Gender differences in diet and physical activity impact metabolic health.
• Limited research exists on these differences using principal component analysis (PCA).

Purpose of the Study:

• Identify distinct eating, body composition, and physical activity patterns between men and women.
• Inform the development of tailored health interventions.

Main Methods:

• Cross-sectional study of 2,509 adults.
• Data collected via questionnaires and bioimpedance analysis.
• Principal component analysis (PCA) used to identify behavioral patterns.

Main Results:

• Five distinct participant groups identified: Balanced Eaters, Focused on Home Cooking, Routine Eaters, Restaurant Lovers, and Varied Eaters.
• Men consumed more meat and engaged in strength/endurance sports.
• Women showed more structured eating routines and consumed more vegetables.

Conclusions:

• PCA revealed significant gender-specific patterns in diet, physical activity, and body composition.
• Results highlight the need for tailored interventions: increase vegetable intake in men, promote strength training in women.
• PCA offers deeper insights into complex gender-specific behaviors than traditional analyses.