Tarakçı Filiz, Nadide Gizem

Profile URL
https://hdl.handle.net/20.500.14627/1214
Name Variants
Job Title
Dr. Öğr. Üyesi
Email Address
nadide.tarakci@fbu.edu.tr
Main Affiliation
Beslenme ve Diyetetik Bölümü
Status
Current Staff
Website
ORCID ID
0000-0001-5449-7866
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
NCV-1680-2025

Research Topics

Domains
Life SciencesHealth Sciences
Fields
Agricultural and Biological SciencesMedicinePharmacology, Toxicology and Pharmaceutics
Subfields
Food SciencePhysiologyPharmacology
Specific Research Areas
Food Safety and Hygiene
Polysaccharides Composition and Applications
Diet and metabolism studies
Dietary Effects on Health
Hibiscus Plant Research Studies

Sustainable Development Goals

SDG data is not available

Publication Collaboration

Affiliation Name Count
Istanbul Medipol University 6
Istanbul University-Cerrahpaşa 4
Istanbul University 2
Istanbul Kültür University 1
Fatih University 1
1 / 2
Data obtained from OpenAlex
Scholarly Output

1

Articles

1

WoS Citation Count

0

Scopus Citation Count

0

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Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Unsupervised Multivariate Analysis of Gait Characteristics and Body Composition in Physiotherapy Students
    (2026) Tarakçı, Nadide Gizem; Kızılırmak, Berkay Zülfikar; Garipağoğlu, Muazzez; Öztürk, Başar
    Aim: Measurements of locomotion performance (through quantitative gait analysis) and of body composition offer detailed information on locomotor and biomechanical functions, respectively. The correlation between gait features and body composition among physiotherapy students has yet been extensively investigated using multivariate analyses. We thus evaluated the relationships between body composition components and the parameters of the walk in physiotherapy students, through an unsupervised exploratory approach.Methods: This cross-sectional study included 48 physiotherapy students (35 women and 13 men, aged mean (SD): 21.3 (1.8) years). Measurements of body composition were done using bioelectrical impedance and consisted in body mass index (BMI), body fat percentage, muscle percentage, total body water percentage, and resting energy expenditure. Measurements of gait were performed with the OptoGait system, comprising cadence, contact time, and propulsive phase. Data was analysed using Pearson’s correlation and with both hierarchical clustering and principal component analysis (PCA) in order to find out multimodal relationships between gait and body composition variables.Results: The results of Hierarchical cluster analyses yielded two broad functional domains built on gait and body composition variables. A first domain encompassing the number of steps, proportion of propulsion, and % of muscle, and total % of water was conceptualized as a performance-based group. A second domain with % body fat, BMI and contact time was thought to represent a mass-based group linked with less desirable gait features. % total body water was seen to be a bridging element between locomotory performance and body mass variables.A positive association was seen between % muscle mass and the number of steps (r=0.62, p<0.001) while % body fat was negatively associated with this latter variable (r= -0.54, p<0.001). In principal components analyses, the first two components accounted for 73.6 % of the total variance.Conclusion: Body composition metrics were strongly related to gait patterns in apparently healthy physiotherapy students, with a greater proportion of muscle mass and total body water related to a higher frequency and a more propulsive phase of gait, whilst increased body fat proportion and BMI were correlated with a prolonged contact time and a lower frequency of gait. Further exploratory multivariate analyses would seem appropriate to expand on the biomechanical relationships of young adults.