Beslenme Durumunun ve Beslenme ile İlişkili Bazı Hastalıkların Saptanmasında Boyun Çevresi Ölçümü

Year 2021, Volume: 11 Issue: 1, 100 - 110, 01.04.2021

Hatice Merve Bayram Zehra Margot Çelik , Fatma Esra Güneş

Abstract

Besin ögeleri alımı ile besin ögeleri gereksinmesi arasındaki dengenin sağlanması optimal sağlık için önem taşımaktadır. Beslenme durumunun saptanması bu açıdan önemlidir. Boyun çevresi ölçümü (Neck circumference-NC) beslenme durumunun saptanmasında kullanılan antropometrik ölçümlerden biri olup, karmaşık yöntemlere gerek kalmadan sonuca ulaşmaya yardımcı olan basit bir tekniktir. Ayrıca NC erişilebilir ve ölçümü kolaydır, bunun yanı sıra gün içerisinde değişiklik göstermediği için kullanılabilirliği araştırılmaktadır. Bu derlemenin amacı, NC ölçümü ile diğer antropometrik ölçümlerin, beslenme ile ilintili bazı hastalıkların, ilgili biyokimyasal bulguların ve metabolitlerin arasındaki ortaya konulmuş ilişkilerin incelenmesidir. Bu amaçla yapılan literatür taraması sonucunda, NC obezite ve metabolik sendrom riski ile yüksek korelasyon göstermesinin yanı sıra diğer antropometrik ölçümlerle de (vücut ağırlığı, beden kütle indeksi, bel çevresi, kalça çevresi ve bel/kalça oranı) ilişkili olabileceği görülmüştür. Ayrıca NC, insülin direnci, tip 2 diyabet, hipertansiyon, hiperlipidemi, kardiyovasküler hastalıklar ve obstrüktif uyku apnesi sendromunun tanımlanmasında kullanılabilecek bir ölçüm aracı olarak görülmektedir.

Keywords

boyun, antropometri, diyet tedavisi, beslenme durumu

Neck Circumference Measurement in Determination of Nutritional Status and Some Nutrition Related Diseases

Abstract

The balance between nutrient intake and nutritional requirement is important for optimal health; in this context, determining nutritional status is fundamental. Neck circumference (NC) is one of the anthropometric measurements used to determine the nutritional status; this is a simple technique that helps to reach the result without the need for more complex methods. In addition, NC is accessible and easy to measure; as this measurement does not change throughout the day, the usability of this method is currently being investigated. The purpose of this review is to evaluate the relationship between NC measurement and other anthropometric measurements, nutritional related diseases and related biochemical findings and metabolites. As a result of the literature review conducted for this purpose, NC is evaluated in comparison to other anthropometric measurements (body weight, body mass index, waist circumference, hip circumference and waist / hip ratio), as well as examined for high correlation for the risk of obesity and metabolic syndrome. In addition, NC also appears to be a measurement tool that can be used to identify insulin resistance, type 2 diabetes mellitus, hypertension, hyperlipidemia, cardiovascular diseases and obstructive sleep apnea syndrome.

Keywords

neck, anthropometry, diet therapy, nutritional status

References

• 1. Baysal A. Beslenme ve sağlık. In: Baysal, A. ed. Beslenme. Turkey: Hatipoğlu Yayınları, 2012:9.
• 2. The British Dietetic Association. Assessment of nutritional status. In: Gandy, J. ed. Manual of Dietetic Practice. Chichester: Wiley, 2019:46.
• 3. Madden A, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet 2016; 29(1):7-25.
• 4. Vague J. The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. The am J Clin Nutr 1956; 4(1):20-34.
• 5. Vague J, Vague P, Jubelin J, Barre A. Fat distribution, obesities and health: evolution of concepts. In: Bouchard, C, Johnston, F.E. ed. Fat distribution during growth and later health outcome. New York: Alan R Liss, 1988; 9–41
• 6. Saka M, Türker P, Ercan A, Kızıltan G, Baş M. Is neck circumference measurement an indicator for abdominal obesity? A pilot study on Turkish Adults. Afr Health Sci 2014; 14(3):570-5.
• 7. Hassan NE, Atef A, El-Masry S, Ibrahim A, Al-Tohamy M, Rasheed EA. Is neck circumference an indicator for metabolic complication of childhood obesity? Open Access Maced J Med Sci 2015; 3(1):26-31.
• 8. World Health Organisation (WHO). Obesity-adult prevalence rate (%), https://www.indexmundi.com/g/g.aspx?c=tu&v=2228 /; 2016 [accessed 23.03.2020 ].
• 9. T.C. Sağlık Bakanlığı. Türkiye Beslenme ve Sağlık Araştırması 2017. Ankara, 2019.
• 10. Giugliano R, Melo AL. Diagnosis of overweight and obesity in schoolchildren: utilization of the body mass index international standard. Jornal de Pediatria 2004; 80 (2):129-34.
• 11. da Silva Pinto IC, Arruda I, da Silva Diniz A,da Silca A, Cavalcanti A. Prevalence of overweight and abdominal obesity according to anthropometric parameters and the association with sexual maturation in adolescent school children. Cadernos de Saúde Pública 2010; 26:1727-37.
• 12. Rezende FAC, Rosado LEFPL, Franceschinni SCC, Rosado GP, Ribeiro RCL. The body mass index applicability in the body fat assessment. Revista Brasileira de Medicina do Esporte. Rev Bras Med Esporte 2010; 16(2):90-4.
• 13. Brann LS. Classifying preadolescent boys based on their weight status and percent body fat produces different groups. J Am Diet Assoc 2008; 108(6):1018-22.
• 14. Portilla MG. Body mass index reporting through the school system: potential harm. J. Acad Nutr Diet 2011; 111(3):442-5.
• 15. Ben‐Noun L, Sohar E, Laor A. Neck circumference as a simple screening measure for identifying overweight and obese patients. Obes Res 2001; 9(8):470-7.
• 16. Ben‐Noun L, Laor A. Relationship of neck circumference to cardiovascular risk factors. Obes Res 2003; 11(2):226-31.
• 17. LaBerge RC, Vaccani JP, Gow RM, Gaboury I, Hoey L, Katz SL. Inter‐and intra‐rater reliability of neck circumference measurements in children. Pediatr Pulmonol 2009; 44(1):64-9.
• 18. Stabe C, Vasques ACJ, Lima MMO, Tambascia MA, Pareja JC, Yamanaka A et al. Neck circumference as a simple tool for identifying the metabolic syndrome and insulin resistance: results from the Brazilian Metabolic Syndrome Study. Clin endocrinol. 2013; 78(6):874-81.
• 19. Preis SR, Massaro JM, Hoffmann U, D' Agostino Sr RB, Levy D, Robins SJ et al. Neck circumference as a novel measure of cardiometabolic risk: the Framingham Heart study. J Clin Endocrinol Metab 2010; 95(8):3701-10.
• 20. Baena CP, Lotufo PA, Fonseca MG, Santos IS, Goulart AC, Bensenor IMJ. Neck circumference is independently associated with cardiometabolic risk factors: cross-sectional analysis from ELSA-Brasil. Metab Syndr Relat Disord 2016; 14(3):145-53.
• 21. Onat A, Hergenç G, Yüksel H, Can G, Ayhan E, Kaya Z. Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clin Nutr 2009; 28(1):46-51.
• 22. Ben-Noun L, Laor A. Relationship between changes in neck circumference and cardiovascular risk factors. Exp Clin Cardiol 2006; 11(1):14-20.
• 23. Wang X, Zhang N, Yu C, Ji Z. Evaluation of neck circumference as a predictor of central obesity and insulin resistance in Chinese adults. Int J Clin Exp Med 2015; 8(10):19107-13.
• 24. Kumar NV, Ismail MH, Mahesha P, Girish M, Tripathy M. Neck circumference and cardio-metabolic syndrome. J Clin Diagn Res 2014; 8(7):23-5.
• 25. Pei X, Liu L, Imam MU, Lu M, Chen Y, Sun P. Neck circumference may be a valuable tool for screening individuals with obesity: findings from a young Chinese population and a meta-analysis. BMC public health 2018; 18(1):529-39.
• 26. Giordano F, Berteotti M, Budui S, Calgaro N, Franceschini L, Gilli F. Multidimensional improvements induced by an intensive obesity inpatients rehabilitation programme. Eat Weight Disord 2017; 22(2):329-38.
• 27. Yan Q, Sun D, Li X, Zheng Q, Li L, Gu C et al. Neck circumference is a valuable tool for identifying metabolic syndrome and obesity in Chinese elder subjects: A community‐based study. Diabetes Metab Res Rev 2014; 30(1):69-76.
• 28. de Souza MFC, Gurgel RQ, Barreto ID, Saravanan S. Neck circumference as screening measure for identifying adolescents with overweight and obesity. J Hum Growth Dev 2016; 26(2):260-6.
• 29. Ferreira YAM, Kravchychyn ACP, Vicente SCF, da Silveira Campos RM, Tock L, Oyama LM. An interdisciplinary weight loss program improves body composition and metabolic profile in adolescents with obesity: Associations with the dietary inflammatory index. Front Nutr 2019; 6:77-89.
• 30. Namazi N, Larijani B, Surkan PJ, Azadbakht L. The association of neck circumference with risk of metabolic syndrome and its components in adults: a systematic review and meta-analysis. Nutr Metab Cardivasc Dis 2018;28(7):657-74.
• 31. Remacre MLTC, Sousa RV, Ferreira CDSM. Cut-off points of neck circumference for identification of overweight in adults: Transversal study. Nutricion Clinica y Dietetica Hospitalaria 2018; 38(4):90-4.
• 32. Kalkan İH, Savaş ÖÖ, Yılmazer TT, Suher M. Can neck circumference be used as a new anthropometric measurement to detect metabolic syndrome? Turk J Med Sci 2009; 3(2):10-3.
• 33. Expert Panel on Detection, Evaluation, and Treatment og High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001; 285(19):2486-97.
• 34. Bener A, Yousafzai MT, Darwish S, Ah-Hamaq AO, Nasralla EA, Abdul-Ghani M. Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio. J Ones 2013; 2013:269038.
• 35. World Health Organisation (WHO). Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva. 8-11 December 2008; 2011.
• 36. Jensen MD. Role of body fat distribution and the metabolic complications of obesity. J. Clin Endocrinol Metab 2008; 93(11_supplement_1):57-63.
• 37. Torriani M, Gill CM, Daley S, Oliveira AL, Azevedo DC, Bredella MA. Compartmental neck fat accumulation and its relation to cardiovascular risk and metabolic syndrome. Am J Clin Nutr 2014; 100(5): 1244-51.
• 38. Hingorjo MR, Zehra S, Imran E, Qureshi MA. Neck circumference: a supplemental tool for the diagnosis of metabolic syndrome. J Pak Med Assoc 2016; 66(10):1221-6.
• 39. Assyov Y, Gateva A, Tsakova A, Kamenov Z. A comparison of the clinical usefulness of neck circumference and waist circumference in individuals with severe obesity. Endocr Res 2017; 42(1):6-14.
• 40. Gülmez H, Kut A. Metabolik sendromu olan hastalarda visseral yağlanma oranı ve boyun çevresi arasındaki ilişki. Genel Tıp Dergisi. 2017; 27 (1): 15-22.
• 41. Hoebel S, De Ridder JH, Malan L. The association between anthropometric parameters, the metabolic syndrome and microalbuminuria in black Africans: the SABPA study.Cardiovasc J Afr 2010; 21(3):148-52.
• 42. Kurtoglu S, Hatipoglu N, Mazicioglu MM, Kondolot M. Neck circumference as a novel parameter to determine metabolic risk factors in obese children. Eur J Clin Invest 2012; 4 (6):623-30.
• 43. Silva CC, Zambon MP, Vasques AC, Rodrigues AMB, Camilo DF, Antonio MA et al. Neck circumference as a new anthropometric indicator for prediction of insulin resistance and components of metabolic syndrome in adolescents: Brazilian Metabolic Syndrome Study. Rev Paul Pediatr 2014; 32(2):221-9.
• 44. Formisano A, Bammann K, Fraterman A, Hadjigeorgiou C, Herrmann D, Iacoviello L et al. Efficacy of neck circumference to identify metabolic syndrome in 3–10 year-old European children: Results from IDEFICS study. Nutr Metab Cardiovasc Dis 2016; 26 (6):510-6.
• 45. Turan E, Savut B, Kulaksizoğlu M, Uyar M, Turan Y, Kaya A. Diabetik hastalarda bel ve boyun çevresi ölçümü ile glukoz, lipid ve HbA1c parametreleri arasindaki ilişki. Bozok Tıp Dergisi 2015; 5(2):16-8.
• 46. Genser L, Mariolo JC, Gissey LC, Panagiotopoulos S, Rubino F. Obesity, type 2 diabetes, and the metabolic syndrome: pathophysiologic relationships and guidelines for surgical intervention. Surgical Clinics 2016; 96(4):681-701.
• 47. Narayan KV, Boyle JP, Thompson TJ, Gregg E, Williamson DF. Effect of BMI on lifetime risk for diabetes in the US. Diabetes care 2007; 30(6):1562-6.
• 48. Khalangot M, Gurianov V, Okhrimenko N, Luzanchuk I, Kravchenko V. Neck circumference as a risk factor of screen-detected diabetes mellitus: community-based study. Diabetol Metab Syndr 2016; 8(1):12-20.
• 49. Luy SC, Dampil OA. Comparison of the Harris-Benedict Equation, Bioelectrical Impedance Analysis, and Indirect Calorimetry for Measurement of Basal Metabolic Rate among Adult Obese Filipino Patients with Prediabetes or Type 2 Diabetes Mellitus. JAFES 2018; 33(2):152.
• 50. Yang GR, Yuan SY, Fu HJ, Wan G, Zhu LX, Bu XL et al. Neck circumference positively related with central obesity, overweight, and metabolic syndrome in Chinese subjects with type 2 diabetes: Beijing Community Diabetes Study. Diabetes care 2010; 33(11):2465-7.
• 51. Abdolahi H, Iraj B, Mirpourian M, Shariatifar B. Association of neck circumference as an indicator of upper body obesity with cardio-metabolic risk factors among first degree relatives of diabetes patients. Adv Biomed Res 2014; 3:237-62.
• 52. KhushBakht SM, Mazhar S, Bhalli A, Rashid A, Khan K, Jahanzaib U. Correlation between neck circumference and gestational diabetes mellitus and associated risk factors during pregnancy. Cureus 2018; 10(5):1-10.
• 53. Koliaki C, Liatis S, Kokkinos A. Obesity and cardiovascular disease: revisiting an old relationship. Metabolism 2019; 92:8-107.
• 54. Selvan C, Dutta D, Thukral A, Nargis T, Kumar M, Mukhopadhyay S et al. Neck height ratio is an important predictor of metabolic syndrome among Asian Indians. Indian J Endocrinol Metab 2016; 20(6):831-7.
• 55. Mondal SA, Dutta D, Kumar M, Singh P, Basu M, Selvan C, Mukhopadhyay S. Neck Circumference to Height Ratio is a Reliable Predictor of Liver Stiffness and Nonalcoholic Fatty Liver Disease in Prediabetes. Indian J Endocrinol Metab 2018;22(3):347–354.
• 56. Zhou JY, Ge H, Zhu MF, Wang LJ, Chen L, Tan YZ et al. Neck circumference as an independent predictive contributor to cardio-metabolic syndrome. Cardiovasc Diabetol 2013; 12(76):1-7.
• 57. Aydin S, Ozdemir C. Obstrüktif Uyku Apne Sendromu Tanı ve Tedavisinde Güncel Güçlükler. Turkiye Klinikleri J Pulm Med-Special Topic 2018; 11(2):161-7.
• 58. Kohli P, Balachandran JS, Malhotra A. Obstructive sleep apnea and the risk for cardiovascular disease. Curr Atheroscler Rep 2011; 13(2):138-46.
• 59. Senaratna CV, Perret JL, Lodge CJ, Lowe AJ, Campbell BE, Matheson MC et al. Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev 2017; 34:70-81.
• 60. Dong Z, Xu X, Wang C, Cartledge S, Maddison R, Islam SMS. Association of overweight and obesity with obstructive sleep apnoea: a systematic review and meta-analysis. Obesity Medicine 2020; 17: 100185.
• 61. Sarı H, Tekin M, Özdamar Oİ, Yakut H, Acar G. Obstrüktif uyku apne sendromlu hastalarda vücut kitle indeksi ve boyun çevresi ölçümlerinin apne hipopne indeksiyle korelasyonu. Türk Otolarengoloji Arşivi 2011; 49(4):67-73.
• 62. Hoffstein V, Mateika S. Differences in abdominal and neck circumferences in patients with and without obstructive sleep apnea. Eur Respir J 1992; 5(4):377-81.
• 63. Ayyıldız F, Toka O, Köktürk O, Rakıcıoğlu N. Obstrüktif Uyku Apne Sendromu Antropometrik Ölçümler ve Vücut Bileşimi ile İlişkili midir? Beslenme ve Diyet Dergisi 2016; 44(2):132-43.
• 64. Ronti T, Lupattelli G, Mannarino E. The endocrine function of adipose tissue: an update. Clin Endocrinol 2006; 64(4):355-65.
• 65. Srikanthan K, Feyh A, Visweshwar H, Shapiro JI, Sodhi K. Systematic review of metabolic syndrome biomarkers: a panel for early detection, management, and risk stratification in the West Virginian population. Int J Med Sci 2016; 13(1):25-38.
• 66. Attlee A, Hasan H, AlQattan A, Sarhan N, Alshammari R, Ali S et al. Relationship of salivary adipocytokines, diet quality, physical activity, and nutrition status in adult Emirati females in United Arab Emirates. Diabetes Metab Syndr 2019; 13(1):40-6.
• 67. Murni IK, Sulistyoningrum DC, Oktaria V. Association of vitamin D deficiency with cardiovascular disease risk in children: implications for the Asia Pacific Region. Asia Pac J Clin Nutr 2016; 25(Suppl 1):8-19.
• 68. Bener A, Al-Hamaq AO, Kurtulus EM, Abdullatef WK, Zirie M. The role of vitamin D, obesity and physical exercise in regulation of glycemia in Type 2 Diabetes Mellitus patients. Diabetes Metab Syndr 2016; 10(4):198-204.
• 69. Wimalawansa SJ. Non-musculoskeletal benefits of vitamin D. J Steroid Biochem Mol Biol 2018; 175:60-81.
• 70. Fu J, Han L, Zhao Y, Li G, Zhu Y, Li Y et al. Vitamin D levels are associated with metabolic syndrome in adolescents and young adults: The BCAMS study. Clin Nutr 2019; 38(5):2161-7.
• 71. Dixon JB, O'brien PE. Neck circumference a good predictor of raised insulin and free androgen index in obese premenopausal women: changes with weight loss. Clin Endocrinol 2002; 57(6):769-78.
• 72. Pasquali R. Metabolic syndrome in polycystic ovary syndrome, in metabolic syndrome consequent to endocrine disorders. In: Popovic V, Korbonits M editors. Metabolic Syndrome Consequent to Endocrine Disorders. Basel: Karger; 2018; 114-130.
• 73. Fogel RB, Malhotra A, Pillar G, Pittman SD, Dunaif A, White DP. Increased prevalence of obstructive sleep apnea syndrome in obese women with polycystic ovary syndrome. J Clin Endocrinol Metab 2001; 86(3):1175-80.
• 74. Hacihamdioglu B, Arslan M, Yeşilkaya E, Gok F, Yavuz ST. Wider neck circumference is related to severe asthma in children. Pediatr Allergy Immunol 2015; 26(5):456-60.
• 75. Maltz L, Matz EL, Gordish-Dressman H, Pillai D, Teach SJ, Camargo CA. Sex differences in the association between neck circumference and asthma. Pediatr Pulmonol 2016; 51(9):893-900.
• 76. Akın O, Sarı E, Arslan M, Yeşilkaya E, Hacihamdioglu B, Yavuz ST. Association of wider neck circumference and asthma in obese children. Ann Allergy Asthma Immunol 2016; 116(1):514-17.
• 77. Wakabayashi H, Matsushima M. Dysphagia assessed by the 10-item Eating Assessment Tool is associated with nutritional status and activities of daily living in elderly individuals requiring long-term care. J Nutr Health Aging 2016; 20(1):22-7.
• 78. Uygur R, Özen O, Baş O, Uygur E, Songür A. Hemiplejik Serebral Palsili Çocuklarda Gövde Antropometrik Ölçümlerinin Değerlendirilmesi. Int J Basic Clin Med 2013; 1(1):7-14.
• 79. Yardimci B, Sumnu A, Kaya I, Gursu M, Aydin Z, Karadag S. Is handgrip strength and key pinch measurement related with biochemical parameters of nutrition in peritoneal dialysis patients? Pak J Med Sci 2015; 31(4):941-5.
• 80. Davies SK, Ang JE, Revell VL, Holmes B, Mann A, Robertson FP et al. Effect of sleep deprivation on the human metabolome. Proc Natl Acad Sci USA 2014; 111(29):10761-6.
• 81. Weljie AM, Meerlo P, Goel N, Sengupta A, Kayser MS, Abel T et al. Oxalic acid and diacylglycerol 36: 3 are cross-species markers of sleep debt. Proc Natl Acad Sci USA 2015; 112(8):2569-74.
• 82. Gibney MJ, Walsh M, Brennan L, Roche HM, German B, Ommen BV. Metabolomics in human nutrition: opportunities and challenges. Am J Clin Nutr 2005; 82(3):497-503.
• 83. Xu H, Zheng X, Qian Y, Guan J, Yi Q, Zou J et al. Metabolomics profiling for obstructive sleep apnea and simple snorers. Sci Rep 2016; 6:30958.
• 84. Cho K, Yoon DW, Lee M, So D, Hong IH, Rhee CS et al. Urinary metabolomic signatures in obstructive sleep apnea through targeted metabolomic analysis: A pilot study. Metabolomics 2017; 13(88):1-11.
• 85. Lebkuchen A, Carvalho VM, Venturini G, Salgueiro JS, Freitas LS, Dellavance A et al. Metabolomic and lipidomic profile in men with obstructive sleep apnoea: implications for diagnosis and biomarkers of cardiovascular risk. Sci Rep 2018; 8:11270.
• 86. Troisi J, Belmonte F, Bisogno A, Pierri L, Colucci A, Scala G et al. Metabolomic salivary signature of pediatric obesity related liver disease and metabolic syndrome. Nutrients 2019; 11(2):274-91.
• 87. Goffredo M, Santoro N, Trico D, Giannini C, D'Adamo E, Zhao H et al. A branched-chain amino acid-related metabolic signature characterizes obese adolescents with non-alcoholic fatty liver disease. Nutrients 2017; 9(7):642-54.
• 88. Wu N, Wang W, Yi M, Cheng S, Wang D. Study of the metabolomics characteristics of patients with metabolic syndrome based on liquid chromatography quadrupole time-of-flight mass spectrometry. Ann Endocrinol 2018; 79(1):37-44.