From BMI to TMI: revisiting adiposity and fitness assessment in young active adults through a historical and contemporary lens
Yazarlar (12)
Prof. Dr. Onur Mutlu Yaşar İzmir Demokrasi Üniversitesi, Türkiye
Prof. Dr. Veli Volkan Gürses Bandırma Onyedi Eylül Üniversitesi, Türkiye
Doç. Dr. Ali Erdem CİĞERCİ Kastamonu Üniversitesi, Türkiye
Doç. Dr. Erdal Bal University Of Health Sciences, Antigua ve Barbuda
Doç. Dr. Yeliz Pehlivan University Of Health Sciences, Antigua ve Barbuda
Dr. Öğr. Üyesi Mustafa Baş University Of Health Sciences, Antigua ve Barbuda
Doç. Dr. Nedim Malkoç University Of Health Sciences, Antigua ve Barbuda
Dr. Öğr. Üyesi Merve Bektaş University Of Health Sciences, Antigua ve Barbuda
Dr. Öğr. Üyesi Gizem Başkaya University Of Bandırma, Türkiye
Öğr. Gör. Sare Dündar University Of Bandırma, Türkiye
Ömer Fatih Karakullukçu
Ministry Of National Education, Türkiye
Ministry Of National Education, Türkiye
Doç. Dr. Hamza Küçük Ondokuz Mayis Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Frontiers in Public Health (Q1) | ||
| Dergi ISSN | 2296-2565 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 11-2025 |
| Cilt / Sayı / Sayfa | 13 / 1 / 1–8 | DOI | 10.3389/fpubh.2025.1700684 |
| Makale Linki | https://doi.org/10.3389/fpubh.2025.1700684 | ||
| UAK Araştırma Alanları |
Antrenman Bilimi
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| Özet |
| Background Traditional reliance on body mass index (BMI) to assess adiposity may misclassify physically active individuals with high lean mass. The triponderal mass index (TMI) has emerged as a potentially more accurate alternative, but evidence in physically active populations is limited. Purpose To examine the associations of TMI and BMI with bioimpedance-derived adiposity and selected hematological markers in physically active young adults. Methods In this cross-sectional study, (n = 59) participants (male = 37, female = 22; age 22.63 ± 2.29 years) underwent anthropometry, whole-body bioimpedance and venous blood sampling. TMI and BMI were calculated, and associations with body fat percentage, hemoglobin, hematocrit, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were examined. Normality assumptions were checked; correlations and multiple linear regressions were computed (α = 0.05). Physical activity status followed WHO/ACSM guidelines (≥150 min·week−1 of moderate-to-vigorous activity). Results TMI showed a stronger positive correlation with body fat percentage than BMI (r = 0.50, p < 0.001 vs. r = 0.38, p = 0.003). BMI was positively correlated with HGB (r = 0.32, p = 0.013) and HCT (r = 0.26, p = 0.046) and negatively correlated with NLR (ρ = −0.27, p = 0.041) and PLR (r = −0.30, p = 0.022). TMI was negatively correlated with NLR (p = −0.27, p = 0.039). In the multivariable model (predictors: BMI, TMI, HGB, HCT, NLR, PLR), HCT was a significant negative predictor of adiposity (β = −0.34, p = 0.021), whereas TMI showed a positive but … |
| Anahtar Kelimeler |
| body fat | body mass index | hematology | physically active young adults | triponderal mass index |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 2 |