Evidence map›Paper›PMID 39696430›Full record

ArticleJournal of translational medicine2024

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

Alessandra Feraco, Stefania Gorini, Elisabetta Camajani, Tiziana Filardi, Sercan Karav, Edda Cava, Rocky Strollo, Elvira Padua, Massimiliano Caprio, Andrea Armani and 1 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06654674 (Gender Differences in Dietary Patterns and Physical Activity), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06654674 completednot on this map

Gender Differences in Dietary Patterns and Physical Activity: An Insight With Principal Component Analysis (PCA)

TypeobservationalSponsorSan Raffaele Telematic UniversityRan2023 to 2024Enrolled2,509ConditionsDiet Surveys, Food Preferences
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Diet and physical activity intervention preferences for young adult cancer survivors.Journal of cancer survivorship : research and practice · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alessandra Feraco *Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Stefania Gorini *Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Elisabetta CamajaniDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Tiziana FilardiDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Sercan KaravDepartment of Molecular Biology and Genetics, Çanakkale Onsekiz Mart University, Canakkale, 17000, Türkiye.
Edda CavaClinical Nutrition and Dietetics, San Camillo Forlanini Hospital, Rome, cir.ne Gianicolense 87, Rome, 00152, Italy.
Rocky StrolloDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Elvira PaduaDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Massimiliano CaprioDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.
Andrea ArmaniDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy. andrea.armani@uniroma5.it.ORCID 0000-0002-2130-1596
Mauro LombardoDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, Rome, 00166, Italy.

Funding

IRCCS San Raffaele Pisana Ricerca corrente
6 · The paper itself

Abstract

backgroundGender 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 REGISTERED: This study is registered on ClinicalTrials.gov (NCT06654674).

Indexed as

DietExerciseFeeding BehaviorPrincipal Component AnalysisSex CharacteristicsAdultBody CompositionCross-Sectional StudiesFemaleHumansMaleMiddle AgedAnthropometric analysisBMIBody compositionDietary patternsEating behaviorsFat massGender differencesPhysical activityPrincipal component analysis (PCA)Sport

Identifiers

PMID39696430
PMCPMC11653845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.