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Yaşlı Erişkinlerde Abdominal Obeziteyi Tespit Etmek için Güncel Antropometrik Ölçümlerin Değerlendirilmesi

Year 2024, , 266 - 273, 14.10.2024
https://doi.org/10.52827/hititmedj.1382223

Abstract

Amaç: Santral/Abdominal obezite tüm dünyada büyümekte olan önemli bir sağlık sorunudur. Abdominal obezite, kardiyovasküler ve metabolik olaylar için ana risk faktörü olarak kabul edilmiştir. Abdominal obezitenin belirlenmesi için antropometrik indekslerden görüntüleme yöntemlerine kadar çeşitli ölçümler mevcuttur. Bununla birlikte, literatürde yaşlı erişkinleri içeren antropometrik araştırmalar azdır. Bu çalışmanın amacı ise, yaşlı erişkinlerde abdominal obeziteyi değerlendirmek için güncel antropometrik ölçümleri karşılaştırmaktır.
Gereç ve Yöntemler: Toplamda, 65 yaş ve üstü 104 ayaktan poliklinik hastası bu kesitsel çalışmaya dahil edildi. Herhangi bir sebepten ötürü, Dual-Energy X-ray Absorbsiyometri (DXA) endikasyonu olan hastalar çalışmaya alındı. Görüntülemeye ek olarak antropometrik ve hemodinamik ölçümleri alındı. DXA, vücut kompozisyonunu, özellikle yağ oranını ölçmek için kullanıldı.
Bulgular: Yaş ortalaması 74.66.9 olan toplam 104 hasta çalışmaya alındı. Referans/altın standart yöntem olarak kullanılan DXA ile belirlenen adipozite oranı %3,8-52,5 aralığındaydı. Yağlanmanın ortalama değeri %31.510.9 idi. Cinsiyet ve antropometrik göstergeler karşılaştırıldığında, body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) ve body adiposity index (BAI) anlamlıydı (p<0,05); conisity index (CI), a new body shape index (ABSI) ve abdominal volume index (AVI) anlamlı değildi (p>0.05). Katılımcılarda yağ oranını tahmin eden en iyi üç antropometrik gösterge ise sırasıyla; BMI (r=0,718, p<0,05), WHtR (r=0,503, p<0,05) ve AVİ (r=0,480, p<0,05) olarak tespit edildi.
Sonuç: Birçok ileri tetkik yöntemleri ve tıbbi cihazlar, birinci basamak sağlık kliniklerinde kullanılamamaktadır. Bu nedenle, ileri düzeydeki araştırmalarla en uyumlu pratik yaklaşımlar ön plana çıkmaktadır. Bu çalışmada geriatrik hastalarda, BMI’nin abdominal obeziteyi tespit etmede en uygun antropometrik ölçüm olduğunu gösterdik.

Ethical Statement

Ethical approval: The study design and all procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Local Ethics Committee – E.195/99795470) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Conflict of interests: The authors declare that they have no conflict of interest. This manuscript has not been published, accepted, or under simultaneous review for publication elsewhere.

References

  • Goldani H, Adami FS, Antunes MT et al. Applicatility Of The Visceral Adiposity Index (Vai) In The Prediction Of The Components Of The Metabolic Syndrome In Elderly. Nutricion hospitalaria. 2015 Oct 1;32(4):1609-15.
  • Maggi S, Noale M, Zambon A, Limongi F, Romanato G, et. al. Validity of the ATP III diagnostic criteria for the metabolic syndrome in an elderly Italian Caucasian population: the Italian Longitudinal Study on Aging. Atherosclerosis. 2008;197(2):877-82.
  • Golay A, Chen N, Chen YD, Hollenbeck C, Reaven GM. Effect of central obesity on regulation of carbohydrate metabolism in obese patients with varying degrees of glucose tolerance. The Journal of clinical endocrinology and metabolism. 1990;71(5):1299-304.
  • Landin K, Krotkiewski M, Smith U. Importance of obesity for the metabolic abnormalities associated with an abdominal fat distribution. Metabolism: clinical and experimental. 1989 Jun;38(6):572-6.
  • Roriz AKC, Passos LCS, de Oliveira CC, Eickemberg M, Moreira PdA, et. al. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PLoS One. 2014;9(7):e103499-e.
  • Abate N, Burns D Fau, Peshock RM, et al. Grundy SM, Grundy SM. Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. J. Lipid Res. 1994 Aug;35(8):1490-6.
  • Rossner S, Bo Wj Fau, Hiltbrandt E, et al. Adipose tissue determinations in cadavers--a comparison between cross-sectional planimetry and computed tomography. Int J Obes. 1990 Oct;14(10):893-902.
  • Glickman SG, Marn Cs Fau, Supiano MA, et. al. Validity and reliability of dual-energy X-ray absorptiometry for the assessment of abdominal adiposity. Journal of Applied Physiology. 2004 Aug;97(2):509-14
  • Haarbo J, Gotfredsen A Fau, Hassager C, et. al. Validation of body composition by dual energy X-ray absorptiometry (DEXA). Clin Physiol. 1991 Jul;11(4):331-41. doi
  • Nevill AM, Stewart AD, Olds T, Holder R. Relationship between adiposity and body size reveals limitations of BMI. American journal of physical anthropology. 2006;129(1):151-6.
  • Rahman M, Berenson AB. Accuracy of Current Body Mass Index Obesity Classification for White, Black, and Hispanic Reproductive-Age Women. Obstetrics & Gynecology. 2010;115(5).
  • Bergman RN, Stefanovski D Fau, Buchanan TA et al. A better index of body adiposity. Obesity (Silver Spring). 2011 May;19(5):1083-9.
  • Guerrero-Romero F, Rodríguez-Morán M. Abdominal volume index. An anthropometry-based index for estimation of obesity is strongly related to impaired glucose tolerance and type 2 diabetes mellitus. Arch Med Res. 2003;34(5):428-32.
  • Valdez R, Seidell JC, Ahn YI, Weiss KM. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A cross-population study. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 1993;17(2):77-82.
  • Bertoli S, Leone A, Krakauer NY, et al. Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults. PLoS One. 2017;12(9):e0185013-e.
  • Almeida RT, Almeida Mm Fau, Araújo TM, Araújo TM. Abdominal obesity and cardiovascular risk: performance of anthropometric indexes in women. Arq Bras Cardiology. 2009 May;92(5):345-50, 362-7, 375-80.
  • Geliebter A, Atalayer D, Flancbaum L, Gibson CD. Comparison of body adiposity index (BAI) and BMI with estimations of % body fat in clinically severe obese women. Obesity (Silver Spring, Md). 2013;21(3):493-8.
  • Bennasar-VM, Lopez GAA, Tauler P, et al. Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others. PLoS One. 2013;8(5):e63999.
  • Sung YA, Oh JY, Lee H. Comparison of the body adiposity index to body mass index in Korean women. Yonsei Med J. 2014;55(4):1028-35.
  • Lee S, Kuk Jl Fau, Hannon TS, et al. Race and gender differences in the relationships between anthropometrics and abdominal fat in youth. Obesity (Silver Spring). 2008 May;16(5):1066-71.
  • Ashwell M, Hsieh SD. Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005;56(5):303-7.
  • Motamed N, Sohrabi M, Poustchi H, et al. The six obesity indices, which one is more compatible with metabolic syndrome? A population based study. Diabetes Metab Syndr. 2017;11(3):173-7.
  • Wang H, Liu A, Zhao T, et al. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open. 2017;7(9):e016062.
  • Sargeant LA, Bennett Fi Fau, Forrester TE, et al. Predicting incident diabetes in Jamaica: the role of anthropometry. Obes Res. 2002 Aug;10(8):792-8.
  • Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504.

Evaluation of Current Anthropometric Measurements to Detect Abdominal Obesity in Older Adults

Year 2024, , 266 - 273, 14.10.2024
https://doi.org/10.52827/hititmedj.1382223

Abstract

Objective: Central/Abdominal obesity is an important health problem that is growing all over the world. Abdominal obesity has been recognized as a main risk factor for cardiovascular and metabolic events. There are various measurements ranging from anthropometric indices to imaging methods for the determination of abdominal obesity. However, anthropometric studies involving older adults are scarce in the literature. The purpose of this study is to compare the current anthropometric measures used to evaluate abdominal obesity in older adults.
Materials and Methods: In total, 104 outpatients aged 65 years or older were enrolled in this cross-sectional study. For any reason, patients with an indication for Dual-energy-X-ray Absorptiometry (DXA) were included. Anthropometric and haemodynamic measurements were taken. DXA was used to measure body composition, especially fat ratio.
Results: The mean age of patients was 74.66.9. The ratio of adiposity determined by DXA, which was used as reference/gold standard method, was in the range of 3.8-52.5%. Mean value of adiposity was 31.510.9%. When gender and anthropometric indicators were compared, body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and body adiposity index (BAI) were significant (p<0.05); conisity index (CI), a new body shape index (ABSI) and abdominal volume index (AVI) were not significant (p>0.05). The best three anthropometric indicators that estimating the fat ratio in participants were; BMI (r=0.718, p<0.05), WHtR (r=0.503, p<0.05) and AVI (r=0.480, p<0.05), respectively.
Conclusion: Many advanced diagnostic methods and medical devices, can not be used in primary healthcare clinics. Therefore, practical approaches that are most compatible with advanced research are coming to the fore. In this study, we have shown that BMI is the most appropriate anthropometric measurement to detect abdominal obesity in geriatric patients.

Ethical Statement

Ethical approval: The study design and all procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Local Ethics Committee – E.195/99795470) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Conflict of interests: The authors declare that they have no conflict of interest. This manuscript has not been published, accepted, or under simultaneous review for publication elsewhere.

References

  • Goldani H, Adami FS, Antunes MT et al. Applicatility Of The Visceral Adiposity Index (Vai) In The Prediction Of The Components Of The Metabolic Syndrome In Elderly. Nutricion hospitalaria. 2015 Oct 1;32(4):1609-15.
  • Maggi S, Noale M, Zambon A, Limongi F, Romanato G, et. al. Validity of the ATP III diagnostic criteria for the metabolic syndrome in an elderly Italian Caucasian population: the Italian Longitudinal Study on Aging. Atherosclerosis. 2008;197(2):877-82.
  • Golay A, Chen N, Chen YD, Hollenbeck C, Reaven GM. Effect of central obesity on regulation of carbohydrate metabolism in obese patients with varying degrees of glucose tolerance. The Journal of clinical endocrinology and metabolism. 1990;71(5):1299-304.
  • Landin K, Krotkiewski M, Smith U. Importance of obesity for the metabolic abnormalities associated with an abdominal fat distribution. Metabolism: clinical and experimental. 1989 Jun;38(6):572-6.
  • Roriz AKC, Passos LCS, de Oliveira CC, Eickemberg M, Moreira PdA, et. al. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PLoS One. 2014;9(7):e103499-e.
  • Abate N, Burns D Fau, Peshock RM, et al. Grundy SM, Grundy SM. Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. J. Lipid Res. 1994 Aug;35(8):1490-6.
  • Rossner S, Bo Wj Fau, Hiltbrandt E, et al. Adipose tissue determinations in cadavers--a comparison between cross-sectional planimetry and computed tomography. Int J Obes. 1990 Oct;14(10):893-902.
  • Glickman SG, Marn Cs Fau, Supiano MA, et. al. Validity and reliability of dual-energy X-ray absorptiometry for the assessment of abdominal adiposity. Journal of Applied Physiology. 2004 Aug;97(2):509-14
  • Haarbo J, Gotfredsen A Fau, Hassager C, et. al. Validation of body composition by dual energy X-ray absorptiometry (DEXA). Clin Physiol. 1991 Jul;11(4):331-41. doi
  • Nevill AM, Stewart AD, Olds T, Holder R. Relationship between adiposity and body size reveals limitations of BMI. American journal of physical anthropology. 2006;129(1):151-6.
  • Rahman M, Berenson AB. Accuracy of Current Body Mass Index Obesity Classification for White, Black, and Hispanic Reproductive-Age Women. Obstetrics & Gynecology. 2010;115(5).
  • Bergman RN, Stefanovski D Fau, Buchanan TA et al. A better index of body adiposity. Obesity (Silver Spring). 2011 May;19(5):1083-9.
  • Guerrero-Romero F, Rodríguez-Morán M. Abdominal volume index. An anthropometry-based index for estimation of obesity is strongly related to impaired glucose tolerance and type 2 diabetes mellitus. Arch Med Res. 2003;34(5):428-32.
  • Valdez R, Seidell JC, Ahn YI, Weiss KM. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A cross-population study. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 1993;17(2):77-82.
  • Bertoli S, Leone A, Krakauer NY, et al. Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults. PLoS One. 2017;12(9):e0185013-e.
  • Almeida RT, Almeida Mm Fau, Araújo TM, Araújo TM. Abdominal obesity and cardiovascular risk: performance of anthropometric indexes in women. Arq Bras Cardiology. 2009 May;92(5):345-50, 362-7, 375-80.
  • Geliebter A, Atalayer D, Flancbaum L, Gibson CD. Comparison of body adiposity index (BAI) and BMI with estimations of % body fat in clinically severe obese women. Obesity (Silver Spring, Md). 2013;21(3):493-8.
  • Bennasar-VM, Lopez GAA, Tauler P, et al. Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others. PLoS One. 2013;8(5):e63999.
  • Sung YA, Oh JY, Lee H. Comparison of the body adiposity index to body mass index in Korean women. Yonsei Med J. 2014;55(4):1028-35.
  • Lee S, Kuk Jl Fau, Hannon TS, et al. Race and gender differences in the relationships between anthropometrics and abdominal fat in youth. Obesity (Silver Spring). 2008 May;16(5):1066-71.
  • Ashwell M, Hsieh SD. Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005;56(5):303-7.
  • Motamed N, Sohrabi M, Poustchi H, et al. The six obesity indices, which one is more compatible with metabolic syndrome? A population based study. Diabetes Metab Syndr. 2017;11(3):173-7.
  • Wang H, Liu A, Zhao T, et al. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open. 2017;7(9):e016062.
  • Sargeant LA, Bennett Fi Fau, Forrester TE, et al. Predicting incident diabetes in Jamaica: the role of anthropometry. Obes Res. 2002 Aug;10(8):792-8.
  • Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504.
There are 25 citations in total.

Details

Primary Language English
Subjects ​Internal Diseases
Journal Section Research Articles
Authors

Uğur Kalan 0000-0002-3408-7883

Ferhat Arık This is me 0000-0001-6929-4666

Publication Date October 14, 2024
Submission Date October 27, 2023
Acceptance Date July 2, 2024
Published in Issue Year 2024

Cite

AMA Kalan U, Arık F. Evaluation of Current Anthropometric Measurements to Detect Abdominal Obesity in Older Adults. Hitit Medical Journal. October 2024;6(3):266-273. doi:10.52827/hititmedj.1382223