Gender Differences in Dietary Patterns and Physical Activity: A PCA Approach
GENDPCA
2 other identifiers
observational
2,509
1 country
1
Brief Summary
This study investigates gender differences in dietary patterns and physical activity using Principal Component Analysis (PCA). It aims to identify distinct eating and activity behaviors between men and women in order to develop gender-specific interventions that promote better metabolic health. The study was conducted at a metabolic health center in Rome, Italy, with 2,509 participants. Data were collected through questionnaires and body composition assessments, and PCA was applied to classify participants into groups based on their behaviors.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2024
CompletedFirst Submitted
Initial submission to the registry
October 17, 2024
CompletedFirst Posted
Study publicly available on registry
October 23, 2024
CompletedOctober 23, 2024
October 1, 2024
1.4 years
October 17, 2024
October 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Principal Component Analysis (PCA)
The primary outcome is the identification of distinct dietary patterns and physical activity behaviors based on gender differences.
Cross-sectional assessment at baseline
Secondary Outcomes (1)
Physical activity levels based on gender differences
Cross-sectional assessment at baseline
Study Arms (1)
Study Participants
This group consists of 2,509 adult participants recruited from a metabolic health center in Rome, Italy. Data on dietary patterns, physical activity, and body composition were collected and analyzed using Principal Component Analysis (PCA) to identify trends and patterns related to gender differences in eating behaviors and physical activity. No specific intervention was applied, as this is an observational study.
Eligibility Criteria
The study population consists of 2,509 adults attending a metabolic health center in Rome, Italy. These participants were recruited between May 2023 and June 2024. The sample includes both men and women, with a focus on identifying gender-specific patterns in dietary behaviors, physical activity, and body composition. Participants underwent bioimpedance analysis and completed questionnaires regarding their eating habits and physical activity levels.
You may qualify if:
- Adults aged 18 years or older.
- Participants attending the metabolic health center in Rome, Italy.
- Participants who provided informed consent.
- Participants with complete data on dietary patterns, physical activity, and body composition.
You may not qualify if:
- Individuals under 18 years of age.
- Participants with diagnosed psychiatric disorders.
- Pregnant women.
- Participants with incomplete or inconsistent data.
- Individuals with alcohol dependence.
- Participants with significant medical conditions that could affect dietary or physical activity assessments (e.g., severe chronic illnesses).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
San Raffaele Open University
Roma, 00166, Italy
Related Publications (3)
Alosaimi N, Sherar LB, Griffiths P, Pearson N. Clustering of diet, physical activity and sedentary behaviour and related physical and mental health outcomes: a systematic review. BMC Public Health. 2023 Aug 18;23(1):1572. doi: 10.1186/s12889-023-16372-6.
PMID: 37596591BACKGROUNDFeraco A, Gorini S, Camajani E, Filardi T, Karav S, Cava E, Strollo R, Padua E, Caprio M, Armani A, Lombardo M. Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA). J Transl Med. 2024 Dec 18;22(1):1112. doi: 10.1186/s12967-024-05965-3.
PMID: 39696430DERIVEDFeraco A, Armani A, Gorini S, Camajani E, Quattrini C, Filardi T, Karav S, Strollo R, Caprio M, Lombardo M. Gender Differences in Dietary Patterns and Eating Behaviours in Individuals with Obesity. Nutrients. 2024 Dec 6;16(23):4226. doi: 10.3390/nu16234226.
PMID: 39683619DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Massimiliano Caprio, MD, PhD
IRCCS San Raffaele Roma
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Mauro Lombardo, MD, Associate Professor in Dietetics and Clinical Nutrition
Study Record Dates
First Submitted
October 17, 2024
First Posted
October 23, 2024
Study Start
January 1, 2023
Primary Completion
June 1, 2024
Study Completion
June 1, 2024
Last Updated
October 23, 2024
Record last verified: 2024-10