Journals / Bağcılar Tıp Bülteni / 2022 / Cilt: 7 - Sayı: 1

Comparison of Body Mass Index and Bioelectric Impedance Analysis Methods in the Evaluation of Body Composition and Obesity in Women

Kadınlarda Vücut Kompozisyonu ve Obezitenin Değerlendirilmesinde Beden Kütle İndeksi ve Biyoelektrik İmpedans Analiz Yöntemlerinin Karşılaştırılması

Pages
43–48
Publication Date
2022-11-06
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The subjects determined to be obese, overweight and normal based on the BMI had a mean BFBIA% of 40.4±5.3, 34.4±4.1, and 23.2±6.2, respectively (p

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: Body mass index (BMI) is often used to diagnose obesity, although it has the disadvantage of not being able to reveal body fat content.
📊
Key Findings & Data:Our study aimed (1) to evaluate the obesity status using BMI and body fat percentage (BFBIA%) determined by bioelectric impedance analysis (BIA) method among women aged 20-60 years who were admitted the outpatient nutrition clinic, and (2) to evaluate the relationship between BMI and BFBIA%.
💡
Conclusion & Impact:The subjects determined to be obese, overweight and normal based on the BMI had a mean BFBIA% of 40.4±5.3, 34.4±4.1, and 23.2±6.2, respectively (p
🔬Design:Research Article
📍Scope:2020 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: Body mass index (BMI) is often used to diagnose obesity, although it has the disadvantage of not being able to reveal body fat content. Our study aimed (1) to evaluate the obesity status using BMI and body fat percentage (BFBIA%) determined by bioelectric impedance analysis (BIA) method among women aged 20-60 years who were admitted the outpatient nutrition clinic, and (2) to evaluate the relationship between BMI and BFBIA%. Method: This study enrolled 100 women aged 20-60 years. It was a descriptive study. The study data and the BFBIA% values were obtained from outpatient BMI data recorded between October 2020 and November 2020. BMI was calculated using body weight (kg) and body height (m2). The prevalence of obesity was determined using BMI and BFBIA%. Statistical analyses were performed using the Pearson’s correlation test and One-Way analysis of variance. Results: Prevalence of obesity, based on BMI and BFBIA%, was 53% and 46%, respectively and no significant difference was determined (p=0.322). Subjects determined to be obese based on the BMI had a mean BFBIA% of 40±18%. The subjects determined to be obese, overweight and normal based on the BMI had a mean BFBIA% of 40.4±5.3, 34.4±4.1, and 23.2±6.2, respectively (p

Özet

Amaç: Obezite tanısında sıklıkla beden kütle indeksi (BKİ) kullanılmakla birlikte, vücut yağ düzeyini ortaya koymaması dezavantajlı noktasıdır. Bu çalışmanın amaçları diyet polikliniğine başvuran, (1) 20-60 yaş grubu kadın bireylerde, BKİ ve biyoelektrik impedans analiz yöntemi (BİA) ile doğrudan saptanan vücut yağ yüzdesini (VYBİA%) kullanarak obezite durumunu ve (2) BKİ ve VYBİA% arasındaki ilişkiyi değerlendirmektir. Yöntem: Çalışma 20-60 yaş arası 100 kadın bireyle yürütülmüştür. Bu araştırma tanımlayıcı tiptedir. Araştırma verileri ve vücut yağ yüzdesi (% BFBİA) değerleri, poliklinik BİA kayıtlarından Ekim-Kasım 2020 arasında elde edilmiştir. Vücut ağırlığı ve boy uzunluğu ölçümleri kullanılarak BKİ hesaplanmıştır. Bireylerde obezite görülme sıklığı BKİ ve vücut yağ yüzdesi (VYBİA%) kullanılarak belirlenmiştir. İstatistik olarak Pearson korelasyon testi ve tek-yönlü varyans analizi kullanılmıştır. Bulgular: BKİ’ye göre kadınların %53’ü, BİA ile elde edilen vücut yağ yüzdesine göre %46’sı obez bulunmuştur. BKİ ve vücut yağ yüzdesi kullanılarak saptanan obezite arasında anlamlı bir fark bulunmamıştır (p=0,322). BİA’ya göre obez bireylerin ortalama vücut yağ yüzdesi (VYBİA%) %40±18 olarak saptanmıştır. BİA yöntemi kullanılarak BKİ’ye göre şişman, hafif şişman ve normal vücut ağırlığındaki kadınların vücut yağ yüzdeleri ise sırasıyla %40,4±5,30, %34,4±4,1, ve %23,2±6,2 olarak belirlenmiştir (p

🔖

Cite This Article

SIRIKEN, F., ERTEKİN, E., ÜNSAL, C., ERTEKİN, A. A., ÖZTÜRK, H., RODRİGUEZ, A. B., PEKCAN, A. G. (2022). Comparison of Body Mass Index and Bioelectric Impedance Analysis Methods in the Evaluation of Body Composition and Obesity in Women. Bağcılar Tıp Bülteni, Cilt: 7 - Sayı: 1, 43–48. https://ajindex.com/articles/648837

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatth SB. Overweight and obesity: Prevelance, consequences, and causes of a growing public health problem. Cur Obes Rep 2015;4(3):363-370
  2. World Health Organization. Physical Status: The use and interpretation of anthropometry. Report of a WHO Expert Committee. In: World Health Organization Technical Report Series 1995;854:1-452. Available from: https://www.who.int/ childgrowth/publications/physical_status/en/;2020 Accessed: 30.12.2020 3. Köksal E, Küçükerdönmez Ö. Şişmanlığı saptamada güncel yaklaşımlar. Baysal A, Baş M (editör). Yetişkinlerde ağırlık yönetimi. İstanbul: Express Baskı, 2008:35-70
  3. Pekcan G. Hastanın beslenme durumunun saptanması. Ankara: Klaasmat Matbaacılık, 2008:1-50
  4. Melikoğlu M, Öner C, Tüzün S, Temizkan Ş, Orbay E. Comparison of new and old body shape indices to estimate body fat in obese and morbid obese turkish females. Turk J Endocrinol Metab 2020;24:1-8
  5. TC Sağlık Bakanlığı. Beslenme drumunun saptanması. 1st ed. Ankara: Klasmat Matbacılık, 2008
  6. Aksoy M. Beslenme, Diyet ve Gıda Sözlüğü. Ankara: Hatiboğlu Yayınları, 2007
  7. World Health Organization. European Health Report 2018: More than numbers - evidence for all. Available at: https://www.euro. who.int/en/publications/abstracts/european-health-report- 2018.-more-than-numbers-evidence-for-all-2018;2020 Accessed: 13.12.2020 9. Ayyıldız F, Köksal E. Current approach in the evaluation of nutrition, hydration status and disease risk: bioelectrical impedance vector analysis. Journal of Health Sciences 2016;25(3):155-160
  8. Norman K, Stobäus N, Pirlich M, Bosy- Westphal A. Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters. Clin Nutr 2012;31(6):854- 861
  9. Gray DS, Bray GA, Gemayel N, Kaplan K. Effect of obesity on bioelectrical impedance. Am J Clin Nutr 1989;50(2):255-260
  10. Gómez-Ambrosi J, Silva C, Galofré JC, Escalada J, Santos S, Millán D, et al. Body mas index classification misses subjects within creased cardiometabolic risk factors related to elevated adiposity. Int J Obes (Lond) 2012;36(2):286-294
  11. Willett K, Jiang R, Lenart E, Spiegelman D, Willett W. Comprarsion of bioelectrical impedance and BMI in predicting obesity-related medical condition. Obesity (Silver Spring) 2006;14(3):480-490
  12. Kaya H, Özçelik O. Comparison of Effectiveness of Body Mass Index and Bioelectric Impedance Analysis Methods on Body Composition in Subjects wi