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Journals / MN Oftalmoloji / 2009 / Cilt: 16 - Sayı: 1

The Effect of Body Mass Index on Ocular Hemodynamics

Vücut Kitle İndeksininOküler Hemodinamiklere Etkisi

REMZİ KARADAĞ
Aslı KÖKTENER
Mesut ERDURMUŞ
Bahri AYDIN
Uğur Can KESKİN
Ramazan YAĞCI
Zeynel ARSLANYILMAZ
Pages
56–59
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Conclusion:BMI does not have a significant impact on ocular hemodynamic parametersmeasured with CDU in healthy people.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim:To evaluate effects of body mass index (BMI) on ocular hemodynamics with colorDoppler ultrasonography (CDU).
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Key Findings & Data:After the measurements of height and weight of each subject, body massindex BMI was calculated (kg/m2).
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Conclusion & Impact:Conclusion:BMI does not have a significant impact on ocular hemodynamic parametersmeasured with CDU in healthy people.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim:To evaluate effects of body mass index (BMI) on ocular hemodynamics with colorDoppler ultrasonography (CDU). Material and Method:Thirty nine healthy subjects without any systemic disease were in-volved in the study. After the measurements of height and weight of each subject, body massindex BMI was calculated (kg/m2). Peak systolic velocity (PCV), end diastolic velocity (EDV)and resistivity index (RI) of ophthalmic artery, central retinal artery and posterior ciliary ar-tery were measured with CDU. Before CDU, intraocular pressure (IOP) was measured withpneumatic tonometry. Subjects were divided in two groups according to BMI. The first groupincluded subjects with BMI<25.0 and the second group included those with BMI>=25.0. Twogroups were statistically compared in terms of IOP, PCV, EDV and RI. Results:Mean age of the subjects (10 female/6 male) in Group 1 was 52.1±12.1 yearswhile it was 51.7±10.7 years in Group 2 (15 female/8 males). There were no statistically sig-nificant differences between the two groups in terms of age, gender, PCV, EDV and RI of oph-thalmic artery, central retinal artery, posterior ciliary artery (p>0.05). Conclusion:BMI does not have a significant impact on ocular hemodynamic parametersmeasured with CDU in healthy people.

Özet

Amaç: Vücut kitle indeksinin oküler hemodinamiklere olan etkisini Renkli Doppler Ultra sonografi (RDU) yöntemiyle değerlendirmek.Gereç ve Yöntem: Sistemik hastalığı olmayan 39 sağlıklı birey çalışmaya dâhil edildi.Tüm bireylerin boy ve kilo ölçümü yapıldıktan sonra Vücut Kitle İndeksleri (VKİ) (kg/m2) hesaplandı. RDU yöntemiyle oftalmik, santral retinal ve posterior siliyer arterden Pik Sistolikakım Hızı (PSH), Diyastol Sonu akım Hızı (DSH) ölçüldü ve Rezistans İndeksi (Rİ) hesaplandı. RDU muayenesinden önce pnomötonometre ile göz içi basıncı ölçümleri yapıldı. KişilerVKİ'lerine göre 2 gruba ayrıldı: Grup 1 VKİ =25,0 olankişilerden oluşmaktaydı. Gruplar; GİB, PSH, DSH ve Rİ açısından istatistiksel olarak değerlendirildi.Bulgular: Grup 1'deki 16 kişinin (10 kadın/ 6 erkek) yaş ortalaması 52,1±12,1 yıl ikenGrup 2'deki 23 bireyin (15 kadın/ 8 erkek) yaş ortalaması 51,7±10,7 yıldı. Gruplar arasındaGİB, yaş, cinsiyet, oftalmik, santral retinal ve posteriyor siliyer arterlerin PSH, DSH ve Rİ değerleri açısından istatistiksel olarak anlamlı fark yoktu (p>0,05). Sonuç: VKİ, RDU ile ölçülen oküler hemodinamik parametreler üzerinde anlamlı bir etkiye sahip değildir

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Cite This Article

KARADAĞ, R., KÖKTENER, A., ERDURMUŞ, M., AYDIN, B., KESKİN, U. C., YAĞCI, R., ARSLANYILMAZ, Z. (2009). The Effect of Body Mass Index on Ocular Hemodynamics. MN Oftalmoloji, Cilt: 16 - Sayı: 1, 56–59. https://ajindex.com/articles/295852

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References (18)

  1. Haslam DW, James WP. Obesity. Lancet 2005; 366:1197-209.
  2. Kuang TM, Tsai SY, Hsu WM, Cheng CY, Liu JH, Chou P. Body mass index and age-related cataract: The Shihpai Eye Study. Arch Ophthalmol 2005; 123:1109-14.
  3. Cheung N, Wong TY. Obesity and eye diseases. Surv Ophthalmol 2007; 52:180-95.
  4. Leske MC, Connell AM, Wu SY, Hyman LG, Schachat AP. Risk factors for open-angle glaucoma. The Barbados Eye Study. Arch Ophthalmol 1995; 113:918-24.
  5. Van Leiden HA, Dekker JM, Moll AC, et al. Blood pressure, lipids, and obesity are associated with retinopathy: The Hoorn Study. Diabetes Care 2002; 25:1320-25.
  6. Seddon JM, Cote J, Davis N, Rosner B. Progression of age- related macular degeneration: association with body mass index, waist circumference, and waist-hip ratio. Arch Opht hal - mol 2003; 121:785-92.
  7. Wu SY, Leske MC. Associations with intraocular pressure in The Barbados Eye Study. Arch Ophthalmol 1997;115:1572-6.
  8. Mori K, Ando F, Nomura H, Sato Y, Shimokata H. Relationship between intraocular pressure and obesity in Japan. Int J Epidemiol 2000; 29:661-6.
  9. Gherghel D, Orgül S, Gugleta K, Flammer J. Retrobulbar blood flow in glaucoma patients with nocturnal over-dipping in systemic blood pressure. Am J Ophthalmol 2001; 132:641-7.
  10. Findl O, Rainer G, Dallinger S, et al. Assessment of optic disk blood flow in patients with open-angle glaucoma. Am J Ophthalmol 2000; 130:589-96.
  11. Gherghel D, Orgül S, Gugleta K, Gekkieva M, Flammer J. Relationship between ocular perfusion pressure and retrobul- bar blood flow in patients with glaucoma with progressive damage. Am J Ophthalmol 2000; 130:597-605.
  12. Kaiser HJ, Flammer J, Graf T, Stümpfig D. Systemic blood pressure in glaucoma patients. Graefe's Arch Clin Exp Ophthalmol 1993;231:677-80.
  13. Yudkin JS, Eringa E, Stehouwer CD. "Vasocrine" signalling from perivascular fat: a mechanism linking insulin resistance to vascular disease. Lancet 2005; 365:1817-20.
  14. Lim HS, MacFadyen RJ, Lip GY. Diabetes mellitus, the renin- angiotensin-aldosterone system, and the heart. Arch Intern Med 2004; 164:1737-48.
  15. Grieshaber MC, Flammer J. Blood flow in glaucoma. Curr Opin Ophthalmol 2005; 16:79-83.
  16. Tzamaloukas AH, Murata GH, Hoffman RM, et al. Classification of the degree of obesity by body mass index or by deviation from ideal weight. J Parenter Enteral Nutr 2003; 27:340-8.
  17. Selim M, Jones R, Novak P, Zhao P, Novak V. The effects of body mass index on cerebral blood flow velocity. Clin Auton Res 2008; 18:331-8.
  18. Ozdemir H, Artaş H, Serhatlioğlu S, Oğur E. Effec