Journals / Online Türk Sağlık Bilimleri Dergisi / 2025 / Cilt: 10 Sayı: 4

Retrospective Evaluation of Body Composition Parameters Measured by Bioimpedance Method According to Gender, Age, and BMI: The Case of Siirt Province

Biyoimpedans Yöntemi ile Ölçülen Vücut Kompozisyonu Parametrelerinin Cinsiyet, Yaş ve BKİ’ye Göre Retrospektif Değerlendirilmesi: Siirt İli Örneği

Emre Duman(SİİRT ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİ)0000-0002-8956-2696
Ruken Zeynep Aydın(SİİRT ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİ)0000-0002-6750-6765
Pages
368–375
Publication Date
2025-12-20
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⚡ TL;DR(Too Long; Didn't Read)

Conclusions: Increased visceral adiposity in females and older age groups, along with the insufficiency of BMI alone, underscores the importance of gender-specific composition analyses in obesity management.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: To evaluate body composition parameters determined by bioelectrical impedance analysis (BIA) in adults aged 19-64 years in Siirt, Türkiye, across gender, age, and body mass index (BMI) categories.
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Key Findings & Data:Materials and Methods: This retrospective study analyzed single‐measurement data from 1062 adults (286 males, 776 females) recorded at the Siirt Healthy Life Center between 2021 and 2024.
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Conclusion & Impact:Conclusions: Increased visceral adiposity in females and older age groups, along with the insufficiency of BMI alone, underscores the importance of gender-specific composition analyses in obesity management.
🔬Design:Araştırma Makalesi
📍Scope:2021 Verileri
⚙️Variables:Beden kütle indeksi · biyoelektrik impedans · obezite

Abstract

Objective: To evaluate body composition parameters determined by bioelectrical impedance analysis (BIA) in adults aged 19-64 years in Siirt, Türkiye, across gender, age, and body mass index (BMI) categories. Materials and Methods: This retrospective study analyzed single‐measurement data from 1062 adults (286 males, 776 females) recorded at the Siirt Healthy Life Center between 2021 and 2024. Measurements were obtained using an InBody 270 device. Descriptive statistics, Welch’s ANOVA, Games-Howell tests, and multiple linear regression were applied (p<0.05). Results: Females exhibited significantly higher BMI, total fat mass, and visceral fat levels than males, whereas men showed greater fat-free mass, skeletal muscle mass, and bone mineral content. Regression analysis identified visceral fat level, skeletal muscle mass, and age as the factors most strongly associated with BMI (R²=0.822). Conclusions: Increased visceral adiposity in females and older age groups, along with the insufficiency of BMI alone, underscores the importance of gender-specific composition analyses in obesity management.

Özet

Amaç: Bu çalışmanın amacı, Siirt ilinde yaşayan 19-64 yaş arası bireylerin biyoelektrik impedans analizi (BİA) ile belirlenen vücut kompozisyonu parametrelerini cinsiyet, yaş ve beden kütle indeksi (BKİ) gruplarına göre değerlendirmektir. Materyal ve Metot: 2021-2024 yılları arasında Siirt Sağlıklı Hayat Merkezi arşivinden elde edilen, 1062 yetişkine (286 erkek, 776 kadın) ait tekil ölçüm verileri retrospektif olarak analiz edilmiştir. Ölçümler InBody 270 cihazı ile gerçekleştirilmiştir. Tanımlayıcı istatistikler, Welch ANOVA, Games-Howell testi ve çoklu doğrusal regresyon analizleri kullanılmıştır (p<0,05). Bulgular: Kadınların BKİ, toplam yağ ve visseral yağ düzeyleri erkeklerden anlamlı düzeyde yüksek bulunmuştur. Erkeklerde ise yağsız vücut kütlesi, iskelet kası ve mineral miktarları daha fazladır. Çoklu regresyon analizine göre, visseral yağ düzeyi, iskelet kas kütlesi ve yaş, BKİ ile en güçlü ilişkili değişkenler olarak saptanmıştır (R²=0,822). Sonuç: Kadınlar ve ileri yaş grubunda visseral yağlanmanın arttığı, BKİ’nin tek başına yeterli olmadığı ve cinsiyete özgü kompozisyon analizlerinin obezite yönetiminde önem taşıdığı sonucuna varılmıştır.

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Cite This Article

Duman, E., Aydın, R. Z. (2025). Retrospective Evaluation of Body Composition Parameters Measured by Bioimpedance Method According to Gender, Age, and BMI: The Case of Siirt Province. Online Türk Sağlık Bilimleri Dergisi, Cilt: 10 Sayı: 4, 368–375. https://doi.org/10.26453/otjhs.1754717

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References (30)

  1. World Health Organization. Obesity and overweight. 2025. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed July 31, 2025.
  2. Wu Y, Li D, Vermund SH. Advantages and limitations of the body mass index (BMI) to assess adult obesity. Int J Environ Res Public Health. 2024;21(6):757. doi:10.3390/ijerph21060757
  3. De Lorenzo A, Pellegrini M, Gualtieri P, Itani L, El Ghoch M, Di Renzo L. The risk of sarcopenia among adults with normal-weight obesity in a nutritional management setting. Nutrients. 2022;14(24):5295. doi:10.3390/nu14245295
  4. Ng M, Gakidou E, Lo J, et al. Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet. 2025;405(10481):813-838. doi:10.1016/S0140-6736(25)00355-1
  5. Republic of Turkey Ministry of Health General Directorate of Public Health. Turkey Nutrition and Health Survey (TNHS) 2017. 2019. https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-ve-hareketli-hayat-db/Dokumanlar/Ingilizce_Yayinlar/TBSA_RAPOR_KITAP_2017_ENG_.pdf. Accessed July 31, 2025.
  6. World Health Organization. WHO European Regional Obesity Report 2022. https://iris.who.int/bitstream/handle/10665/353747/9789289057738-eng.pdf. Accessed July 31, 2025.
  7. Beyaz Sipahi B. Türkiye’de obezite üzerine sosyoekonomik faktörlerin etkisi ve gelir eşitsizliği. Ankara Üniversitesi SBF Dergisi. 2021;76(2):547-573. doi:10.33630/ausbf.822558
  8. Ergin I, Hassoy H, Kunst A. Socio-economic inequalities in overweight among adults in Turkey: a regional evaluation. Public Health Nutr. 2012;15(1):58-66. doi:10.1017/S1368980011001972
  9. Atar Ö, Dindar MD, Erduğan F. Biyoelektrik impedans analiz yöntemi ile serebral palsili bireylerde vücut kompozisyonunun cinsiyet değişkenine göre incelenmesi. Çanakkale Onsekiz Mart Üniversitesi Spor Bilimleri Dergisi. 2020;3(1):1-10.
  10. Larsen MN, Krustrup P, Araújo Póvoas SC, Castagna C. Accuracy and reliability of the InBody 270 multi-frequency body composition analyser in 10–12-year-old children. PLoS One. 2021;16(3):e0247362. doi:10.1371/journal.pone.0247362
  11. Algül S, Özçelik O. Evaluation of effects of hydration and dehydration status on body composition analysis using bioelectrical impedance method. Eastern J Med. 2022;27(2):258-263. doi:10.5505/ejm.2022.39260
  12. Sawilowsky SS. Very large and huge effect sizes. J Mod Appl Stat Methods. 2009;8(2):597-599.
  13. Enderle J, Reljic D, Jensen B, Peine S, Zopf Y, Bosy-Westphal A. Normal values for body composition in adults are better represented by continuous reference ranges dependent on age and BMI. Clin Nutr. 2023;42(5):644-652. doi:10.1016/j.clnu.2023.03.006
  14. Sertel Meyvacı S, Ankaralı H. Obez bireylerde vücut kompozisyonu bileşenlerinin modellenmesi. Turk J Diabetes Obes. 2021;5(1):1-6. doi:10.25048/tudod.823622
  15. Turkish Statistical Institute. Türkiye Health Survey 2022. https://data.tuik.gov.tr/Bulten/Index?p=Turkiye-Saglik-Arastirmasi-2022-49747. Accessed July 31, 2025.
  16. Muscogiuri G, Verde L, Vetrani C, Barrea L, Savastano S, Colao A. Obesity: a gender-view. J Endocrinol Invest. 2024;47(2):299-306. doi:10.1007/s40618-023-02196-z
  17. Wang R, Liu J, Fang G, Shi J, Zhang C, Huang Y. Association between visceral adiposity index and cardiovascular disease: a systematic review and meta-analysis. Nutr Metab Cardiovasc Dis. 2025;35:104216. doi:10.1016/j.numecd.2025.104216
  18. Refalo MC, Nuckols G, Galpin AJ, Gallagher IJ, Hamilton DL, Fyfe JJ. Sex differences in absolute and relative changes in muscle size following resistance training in healthy adults: a systematic review with Bayesian meta-analysis. PeerJ. 2025;13:e19042. doi:10.7717/peerj.19042
  19. Kodoth V, Scaccia S, Aggarwal B. Adverse changes in body composition during the menopausal transition and relation to cardiovascular risk: a contemporary review. Womens Health Rep (New Rochelle). 2022;3(1):573-581. doi:10.1089/whr.2021.0119
  20. Abildgaard J, Ploug T, Al-Saoudi E, et al. Changes in abdominal subcutaneous adipose tissue phenotype following menopause is associated with increased visceral fat mass. Sci Rep. 2021;11(1):14750. doi:10.1038/s41598-021-94189-2
  21. Kuang M, Qiu J, Li D, et al. The newly proposed metabolic score for visceral fat is a reliable tool for identifying non-alcoholic fatty liver disease, requiring attention to age-specific effects in both sexes. Front Endocrinol (Lausanne). 2023;14:1281524. doi:10.3389/fendo.2023.1281524
  22. Perna S, Faragli A, Spadaccini D, et al. Predicting visceral adipose tissue in older adults: a pilot clinical study. Clin Nutr. 2022;41(4):810-816. doi:10.1016/j.clnu.2022.02.008
  23. Jiang M, Ren X, Han L, Zheng X. Associations between sarcopenic obesity and risk of cardiovascular disease: A population-based cohort study among middle-aged and older adults using the CHARLS. Clin Nutr. 2024;43(3):796-802. doi:10.1016/j.clnu.2024.02.002
  24. Yoon HJ, Park KW, Seo YH. Association of sarcopenia and visceral obesity with clinical outcomes among older adults with cardiovascular disease: a retrospective cohort study. J Clin Med. 2025;14(12):4191. doi:10.3390/jcm14124191
  25. Sanchez-Lastra MA, Ding D, Dalene KE, Del Pozo Cruz B, Ekelund U, Tarp J. Body composition and mortality from middle to old age: a prospective cohort study from the UK Biobank. Int J Obes (Lond). 2023;47(8):709-716. doi:10.1038/s41366-023-01314-4
  26. Lebiedowska A, Hartman-Petrycka M, Błońska-Fajfrowska B. How reliable is BMI? Bioimpedance analysis of body composition in underweight, normal weight, overweight, and obese women. Ir J Med Sci. 2021;190(3):993-998. doi:10.1007/s11845-020-02403-3
  27. Lee H, Chung HS, Kim YJ, et al. Association between body composition and the risk of mortality in the obese population in the United States. Front Endocrinol. 2023;14:1257902. doi:10.3389/fendo.2023.1257902
  28. Huang AC, Lu HK, Liang CW, Hsieh KC, Tsai YS, Lai CL. Comparison study of bioelectrical impedance analyzers for measuring lower limb muscle mass in middle-aged and elderly adults. Front Nutr. 2025;12:1546499. doi:10.3389/fnut.2025.1546499
  29. Yi Y, Baek JY, Lee E, Jung HW, Jang IY. A comparative study of high-frequency bioelectrical impedance analysis and dual-energy x-ray absorptiometry for estimating body composition. Life. 2022;12(7):994. doi:10.3390/life12070994
  30. Chuang CL, Lai CL, Huang AC, et al. Comparison of whole body bone mineral density measurements between dual energy x-ray absorptiometry and novel bioelectrical impedance analysis. Sci Rep. 2024;14(1):29127. doi:10.1038/s41598-024-80721-7