(Gaziosmanpaşa Üniversitesi Tıp Fakültesi Göğüs Hastalıkları Anabilim Dalı, Tokat, Türkiye)
Ahmet Cemal PAZARLI
(Gaziosmanpaşa Üniversitesi Tıp Fakültesi Göğüs Hastalıkları Anabilim Dalı, Tokat, Türkiye)
Handan İnönü KÖSEOĞLU
(Gaziosmanpaşa Üniversitesi Tıp Fakültesi Göğüs Hastalıkları Anabilim Dalı, Tokat, Türkiye)
(Gaziosmanpaşa Üniversitesi Tıp Fakültesi Göğüs Hastalıkları Anabilim Dalı, Tokat, Türkiye)
(Gaziosmanpaşa Üniversitesi, Tıp Fakültesi, Biyoistatistik ve Tıp Bilişimi Anabilim Dalı, Tokat, Türkiye)
Yıl: 2021Cilt: 22Sayı: 1ISSN: 2149-2530Sayfa Aralığı: 11 - 17İngilizce

29 0
Importance of Anthropometric Measurements to Determine Cardiometabolic Diseases in Obstructive Sleep Apnea Syndrome
OBJECTIVE: Obesity is considered a major risk factor for obstructive sleep apnea syndrome (OSAS). This study aimed to examine the correlation between anthropometric measurements, which have been recently defined and are indicative of abdominal obesity and cardiometabolic diseases, OSAS severity, and polysomnography (PSG) parameters in patients with OSAS.MATERIAL AND METHODS: This retrospective cohort study included patients who underwent all-night polysomnography with a prediagnosis of OSAS. These patients were categorized as having mild (5-15), moderate (15-30), and severe (>30) OSAS according to the apnea-hypopnea index (AHI). The anthropometric measurements used in the study consisted of waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), (waist/hip)-to-height ratio (WHHR), a body shape index (ABSI), body adiposity index (BAI), abdominal volume index (AVI), and conicity index (CI).RESULTS: A total of 410 individuals were enrolled in the study (31 control subjects and 129 with mild, 101 with moderate, and 149 with severe OSAS). A significant difference was observed between groups in terms of all anthropometric measurements (p<0.05). The difference between the groups was significant in terms of diabetes mellitus, hypertension, and cardiovascular disease (p<0.05). There was a significant correlation between each of the anthropometric measurements and the PSG parameters. In the receiver operating characteristic analysis, cutoff values that predicted severe OSAS were ABSI>0.08, BAI>28.29, AVI>25.54, and CI>1.37. Multiple regression analyses demonstrated that age, sex, and AVI were independent predictors that determine OSAS presence.CONCLUSION: Anthropometric parameters that are indicators of abdominal obesity were found to be robustly correlated with cardiometabolic diseases and the severity of OSAS.
DergiAraştırma MakalesiErişime Açık
  • 1. Marshall NS, Wong KK, Liu PY, et al. Sleep apnea as an independent risk factor for all-cause mortality: The Busselton Health Study. Sleep 2008;31:1079-85.
  • 2. Romero-Corral A, Caples SM, Lopez-Jimenez F, et al. Interactions between obesity and obstructive sleep apnea: implications for treatment. Chest 2010;137:711-9. [Crossref]
  • 3. Katzmarzyk PT, Barreira TV, Harrington DM, et al. Relationship between abdominal fat and bone mineral density in white and African American adults. Bone 2012;50:576-9. [Crossref]
  • 4. Song X, Jousilahti P, Stehouwer CDA, et al. DECODE Study Group. Cardiovascular and all-cause mortality in relation to various anthropometric measures of obesity in Europeans. Nutr Metab Cardiovasc Dis 2015;25:295-304. [Crossref]
  • 5. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One 2012;7:e39504. doi: 10.1371/journal.pone.0039504. [Crossref]
  • 6. Kabat GC, Heo M, Van Horn LV, et al. Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women. Ann Epidemiol 2014;24:896-902. [Crossref]
  • 7. Fu S, Luo L, Ye P, et al. The abilities of new anthropometric indices in identifying cardiometabolic abnormalities, and influence of residence area and lifestyle on these anthropometric indices in a Chinese community-dwelling population. Clin Interv Aging 2014; 9:179-89. [Crossref]
  • 8. Motamed N, Perumal D, Zamani F, et al. Conicity Index and Waist-to-Hip Ratio Are Superior Obesity Indices in Predicting 10-Year Cardiovascular Risk Among Men and Women. Clin Cardiol 2015;38:527-34. [Crossref]
  • 9. Berry RB, Brooks R, Gamaldo CE, et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology, and Technical Specification, Version 2.0. www.aasmnet. org, Darien, Illinois: American Academy of Sleep Medicine 2012.
  • 10. Kohler M, Stradling JR. Mechanisms of vascular damage in obstructive sleep apnea. Nat Rev Cardiol 2010;7:677-685. [Crossref]
  • 11. Ryan S, Taylor CT, McNicholas WT. Systemic inflammation: A key factor in the pathogenesis of cardiovascular complications in obstructive sleep apnoea syndrome? Postgrad Med J 2009;85:693-8. [Crossref]
  • 12. Kent BD, McNicholas WT, Ryan S. Insulin resistance, glucose intolerance and diabetes mellitus in obstructive sleep apnoea. J Thorac Dis 2015;7:1343-57. [Crossref]
  • 13. Takama N, Kurabayashi M. Influence of untreated sleep disordered breathing on the long-term prognosis of patients with cardiovascular disease. Am J Cardiol 2009;103:730-4. doi: 10.1016/j.amjcard.2008.10.035. [Crossref]
  • 14. Schwartz AR, Patil SP, Laffan AM, et al. Obesity and obstructive sleep apnea: pathogenic mechanisms and therapeutic approaches. Proc Am Thorac Soc 2008;5:185-92. [Crossref]
  • 15. Janssen I, Katzmarzyk PT, Ross R. Body mass index is inversely related to mortality in older people after adjustment for waist circumference. J Am Geriatr Soc 2005;53:2112-8. [Crossref]
  • 16. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation, Geneva, 8-11 December 2008. Technical report, 2011, World Health Organization.
  • 17. Heitmann BL, Lissner L. Hip Hip Hurrah! Hip size inversely related to heart disease and total mortality. Obes Rev 2011;12:478- 81. [Crossref]
  • 18. Cameron AJ, Magliano DJ, Shaw JE, et al. The influence of hip circumference on the relationship between abdominal obesity and mortality. Int J Epidemiol 2012;41:484-94. doi: 10.1093/ije/ dyr198. [Crossref]
  • 19. Hsieh SD, Yoshinaga H, Muto T. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 2013;27:610-6. [Crossref]
  • 20. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-toheight ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev 2010;23:247-69. [Crossref]
  • 21. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obes Rev 2012;13:275-286. [Crossref]
  • 22. Li WC, Chen IC, Chang YC, et al. Waist-to-height ratio, waist circumference, and body mass index as indices of cardiometabolic risk among 36,642 Taiwanese adults. Eur J Nutr 2013;52:57-65. [Crossref]
  • 23. Thomson CA, Garcia DO, Wertheim BC, et al. Body shape, adiposity index, and mortality in postmenopausal women: Findings from the Women’s Health Initiative. Obesity (Silver Spring) 2016;24:1061-9. [Crossref]
  • 24. Bouchi R, Asakawa M, Ohara N, et al. Indirect measure of visceral adiposity ‘A Body Shape Index’ (ABSI) is associated with arterial stiffness in patients with type 2 diabetes. BMJ Open Diabetes Res Care 2016;4:e000188. [Crossref]
  • 25. Cheung YB. “A Body Shape Index” in middle-age and older Indonesian population: scaling exponents and association with incident hypertension. PLoS One 2014;9:e85421. [Crossref]
  • 26. Duncan MJ, Mota J, Vale S, et al. Associations between body mass index, waist circumference and body shape index with resting blood pressure in Portuguese adolescents. Ann Hum Biol 2013;40:163-7. [Crossref]
  • 27. He S, Chen X. Could the new body shape index predict the new onset of diabetes mellitus in the Chinese population? PLoS One 2013;8:e50573. [Crossref]
  • 28. Haghighatdoost F, Sarrafzadegan N, Mohammadifard N, et al. Assessing body shape index as a risk predictor for cardiovascular diseases and metabolic syndrome among Iranian adults. Nutrition 2014;30:636-44. [Crossref]
  • 29. Bhurosy T, Jeewon R. Overweight and obesity epidemic in developing countries: a problem with diet, physical activity, or socioeconomic status? ScientificWorldJournal 2014;2014:964236. [Crossref]
  • 30. Kang SM, Yoon JW, Ahn HY, et al. Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people. PLoS One 2011;6:e27694. [Crossref]
  • 31. Sowmya S, Thomas T, Bharathi AV, et al. A body shape index and heart rate variability in healthy Indians with low body mass index. J Nutr Metab 2014;2014:865313. [Crossref]
  • 32. Eom BW, Joo J, Yoon HM, et al. A body shape index has a good correlation with postoperative complications in gastric cancer surgery. Ann Surg Oncol 2014;21:1115-22. [Crossref]
  • 33. Millman RP, Carlisle CC, McGarvey ST, et al. Body fat distribution and sleep apnea severity in women. Chest 1995;107:362- 6. [Crossref]
  • 34. Resta O, Caratozzolo G, Pannacciulli N, et al. Gender, age and menopause effects on the prevalence and the characteristics of obstructive sleep apnea in obesity. Eur J Clin Invest 2003;33:1084-9. [Crossref]
  • 35. Martinez-Rivera C, Abad J, Fiz JA, et al. Usefulness of truncal obesity indices as predictive factors for obstructive sleep apnea syndrome. Obesity (Silver Spring) 2008;16:113-8. [Crossref]

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