Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA) DOI Creative Commons
Alessandra Feraco, Stefania Gorini,

Elisabetta Camajani

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 18, 2024

Gender differences in dietary patterns and physical activity are known to influence metabolic health, but research exploring these using principal component analysis (PCA) is limited. This study aims identify distinct of eating behaviour, body composition between men women, order develop tailored interventions. A cross-sectional was conducted on 2,509 adults attending a health centre. Data habits, were collected by means questionnaires bioimpedance analysis. PCA used behaviour activity. Statistical analyses performed explore gender-specific differences. Based the PCA, five groups participants identified: Balanced Eaters, Focused Home Cooking, Routine Restaurant Lovers Varied Eaters. Significant gender food preferences observed, with consuming more meat women vegetables. Men also reported greater participation strength endurance sports, while showed structured routine. study, (PCA), revealed diet, composition. identified behavioural groups, revealing that tended consume engage training, adhered structured, vegetable-rich diets. The application provided insight than traditional analysis, highlighting complexity behaviour. These results emphasize need for interventions, focusing increasing vegetable intake encouraging training women. Future should exploit longitudinally refined personalised strategies. registered ClinicalTrials.gov (NCT06654674).

Language: Английский

Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA) DOI Creative Commons
Alessandra Feraco, Stefania Gorini,

Elisabetta Camajani

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 18, 2024

Gender differences in dietary patterns and physical activity are known to influence metabolic health, but research exploring these using principal component analysis (PCA) is limited. This study aims identify distinct of eating behaviour, body composition between men women, order develop tailored interventions. A cross-sectional was conducted on 2,509 adults attending a health centre. Data habits, were collected by means questionnaires bioimpedance analysis. PCA used behaviour activity. Statistical analyses performed explore gender-specific differences. Based the PCA, five groups participants identified: Balanced Eaters, Focused Home Cooking, Routine Restaurant Lovers Varied Eaters. Significant gender food preferences observed, with consuming more meat women vegetables. Men also reported greater participation strength endurance sports, while showed structured routine. study, (PCA), revealed diet, composition. identified behavioural groups, revealing that tended consume engage training, adhered structured, vegetable-rich diets. The application provided insight than traditional analysis, highlighting complexity behaviour. These results emphasize need for interventions, focusing increasing vegetable intake encouraging training women. Future should exploit longitudinally refined personalised strategies. registered ClinicalTrials.gov (NCT06654674).

Language: Английский

Citations

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