Gender differences in eating habits and sports preferences across age groups: a cross-sectional study.

Background: Gender differences in dietary habits, physical activity and body composition are key determinants of health and disease risk. Although these differences are well documented, their variation across age groups remains poorly explored. This study examines gender-specific patterns in eating behaviours, sport preferences and body composition metrics, with the aim of providing evidence for tailored public health interventions.

Methods: A cross-sectional study was conducted on 2,276 participants (1,349 females and 927 males) aged 18-75 years. Recruitment combined an online survey and clinical assessments. Body composition was evaluated with bioelectrical impedance analysis (BIA) and eating habits were investigated with detailed weekly food diaries. Gender differences between five age groups were statistically analysed using chi-square and t-tests (p ≤ 0.05). The study protocol was approved by the Lazio Area 5 Ethics Committee.

Results: Significant differences in body composition were observed between genders: men had a higher lean mass and basal metabolic rate, whereas women showed a higher fat mass in all age groups. Eating habits varied significantly: men preferred salty and protein-rich foods, consumed alcohol more frequently and showed a higher prevalence of meal skipping and uncontrolled eating behaviour. Women showed greater meal regularity, a preference for sweet tastes and a higher likelihood of eating alone in the older age groups. Sports participation differs markedly in the age group 30-39 years, in which men were predominantly involved in team sports, while women favoured strength training and skill activities.

Conclusions: This study highlights the strong gender disparities in dietary and lifestyle behaviour, which evolve with age. These findings underline that tailored public health strategies, responding to gender-specific requirements, are needed to promote healthier lifestyles and reduce inequalities. Future studies should use longitudinal designs to explore causal relationships.

Registered clinical studies: The study is registered on ClinicalTrials.gov (NCT06661330; registered 22 October 2024, retrospectively). Available at: https://clinicaltrials.gov/study/NCT06661330 .