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

Basit Öğe Kaydı
dc.contributor.authorFeraco, Alessandra
dc.contributor.authorGorini, Stefania
dc.contributor.authorCamajani, Elisabetta
dc.contributor.authorFilardi, Tiziana
dc.contributor.authorKarav, Sercan
dc.contributor.authorCava, Edda
dc.contributor.authorStrollo, Rocky
dc.date.accessioned2025-01-27T20:31:27Z
dc.date.available2025-01-27T20:31:27Z
dc.date.issued2024
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractBackgroundGender 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.MethodsA 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.ResultsBased on the PCA, five distinct groups of participants were identified: Balanced Eaters, Focused on Home Cooking, Routine Eaters, Restaurant Lovers and Varied Eaters. Significant gender differences in food preferences were observed, with men consuming more meat and women more vegetables. Men also reported greater participation in strength and endurance sports, while women showed a more structured eating routine.ConclusionsThis study, using principal component analysis (PCA), revealed gender-specific patterns in diet, physical activity and body composition. PCA identified five distinct behavioural groups, revealing that men tended to consume more meat and engage in strength training, while women adhered to structured, vegetable-rich diets. The application of PCA provided more insight than traditional analysis, highlighting the complexity of gender-specific behaviour. These results emphasize the need for tailored interventions, focusing on increasing vegetable intake in men and encouraging strength training in women. Future research should exploit PCA to explore behavioural patterns longitudinally for more refined and personalised health strategies.Clinical trials registeredThis study is registered on ClinicalTrials.gov (NCT06654674).
dc.description.sponsorshipIRCCS San Raffaele Pisana
dc.description.sponsorshipWe would like to thank Miss Arianna Lombardo and Mr Tommaso Lombardo for their valuable help in compiling the subjects' database.
dc.identifier.doi10.1186/s12967-024-05965-3
dc.identifier.issn1479-5876
dc.identifier.issue1
dc.identifier.pmid39696430
dc.identifier.scopus2-s2.0-85212436654
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1186/s12967-024-05965-3
dc.identifier.urihttps://hdl.handle.net/20.500.12428/23155
dc.identifier.volume22
dc.identifier.wosWOS:001381009000003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherBMC
dc.relation.ispartofJournal of Translational Medicine
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectGender differences
dc.subjectPrincipal component analysis (PCA)
dc.subjectDietary patterns
dc.subjectPhysical activity
dc.subjectSport
dc.subjectBody composition
dc.subjectEating behaviors
dc.subjectFat mass
dc.subjectBMI
dc.subjectAnthropometric analysis
dc.titleGender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA)
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu