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2019 | 70 | 3 |

Tytuł artykułu

Obesity diagnosis and mortality risk based on a body shape index (ABSI) and other indices and anthropometric parameters in university students

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background. Obesity is a global epidemic and belongs to major risk factors for the most prevalent diseases. Anthropometric measures are simple, inexpensive, non-invasive tools to diagnosis obesity and to assess the risk of morbidity and mortality. The most widely used are body mass index (BMI), waist circumference (WC), waist-to-hip (WHR) and waist-to-height ratios, visceral fat area (VFA), body fat (BFP) and a new body shape index (ABSI). Objective. The aim of this study was to examine the usefulness of the ABSI in obesity diagnosis compared with other anthropometric parameters like WC, WHR, BMI, VFA, and BFP. We also compared the predictability between ABSI and above mentioned common anthropometric indices. Material and methods. The study group was composed of 236 university students. Body height, weight, WC was measured and BMI, WHR, ABSI and ABSI z-score were calculated. The anthropometric measurements were made by using InBody 720 (Biospace Co. Ltd., Seoul, Republic of Korea). Body composition, especially VFA, BFP, FFM was diagnosed by multifrequency bioelectrical impedance analysis. We evaluated the collected data statistically and graphically in Microsoft Office Excel 2010 (Los Angeles, CA, USA). Statistical analyses were performed using the program STATISTICA Cz version 10. Results. The diagnosis of obesity among participants according to anthropometric measures and indices showed considerable differences. We found that obesity was diagnosed according to waist circumference in 31% of participants. According to BMI 20.3% of subjects were overweight and 5.1% obese. With increasing BMI values, the values of WC, WHR and VFA also increased linearly. According to visceral fat area 11.4% of participants were in the risk obese group and by ABSI mortality risk there were 22% of subjects with high risk (4.8% and 28.3% for men and women, respectively) and 19.1% with very high risk (11.1% and 22% for men and women, respectively). VFA and BFP values increased with increasing risk of mortality, and in men also waist circumference values. When evaluating the ABSI in relation to BMI, the U-shaped curve was confirmed and in the case of WC the J-shaped curve. The FFM evaluation showed that the very low ABSI mortality risk group reached the highest values of this parameter and the lowest values showed the average mortality risk group, not only in the study group but also in male and female groups. Conclusions. Our findings suggest the relevance of ABSI to screen at-risk population.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

70

Numer

3

Opis fizyczny

p.267-275,fig.,ref.

Twórcy

autor
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic
autor
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture, Tr. A. Hlinku 2, 949 76 Nitra, Slovak Republic

Bibliografia

  • 1. Afsar B., Elsurer R., Kirkpantur A.: Body shape index and mortality in hemodialysis patients. Nutrition 2013;29(10):1214-1218. doi: 10.1016/j.nut.2013.03.012
  • 2. 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(3):275-286. doi: 10.1111/j.1467-789X.2011.00952.x
  • 3. Aune D., Sen A., Norat T., Janszky I., Romundstad P., Tonstad S., Vatten L.: Body mass index, abdominal fatness, and heart failure incidence and mortality: a systematic review and dose–response meta-analysis of prospective studies. Circulation 2016;133(7):639-649. doi: 10.1161/CIRCULATIONAHA.115.016801
  • 4. Balkau, B., Deanfield, J.E., Després, J.P. Bassand, Fox Keith A.A., Smith Jr S. C., Barter P., Tan Chee-Eng Van Gaal L., Wittchen H-U, Massien Ch., Haffner Steven M.: International Day for the Evaluation of Abdominal Obesity (IDEA): a study of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 primary care patients in 63 countries. Circulation 2007;116(17):1942-1951. DOI: 10.1161/CIRCULATIONAHA.106.676379
  • 5. Bastien M., Poirier P., Lemieux I., Després J.P.: Overview of epidemiology and contribution of obesity to cardiovascular disease. Prog Cardiovasc Dis 2014;56(4):369-381. doi: 10.1016/j.pcad.2013.10.016
  • 6. Bigaard J., Frederiksen K., Tjonneland A., Thomsen B.L., Overvad K., Heitmann BL, Sørensen TI.: Body fat and fat-free mass and all-cause mortality. Obesity 2004;12(7):1042-1049. DOI: 10.1038/oby.2004.131
  • 7. Biolo G., Di Girolamo F.G., Breglia A., Chiuc M., Baglio V., Vinci P., Toigo G., Lucchin L., Jurdana M., Pražnikar ZJ., Petelin A., Mazzucco S., Situlin R.: Inverse relationship between “a body shape index” (ABSI) and fat-free mass in women and men: insights into mechanisms of sarcopenic obesity. Clin Nutr 2015;34(2):323-327. doi: 10.1016/j.clnu.2014.03.015
  • 8. 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 Research and Care 2016;4:e000188. doi:10.1136/bmjdrc-2015-000188
  • 9. Bozorgmanesh M., Sardarinia M., Hajsheikholeslami F., Azizi F., Hadaegh F.: CVD-predictive performances of “a body shape index” versus simple anthropometric measures: Tehran lipid and glucose study. Eur J Nutr 2016;55(1):147-157. doi: 10.1007/s00394-015-0833-1
  • 10. Bray G.A., Smith S.R., de Jonge L., Xie H., Rood J.: Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating. Journal of the American Medical Association 2012;307(1):47-55. doi: 10.1001/jama.2011.1918
  • 11. Britton K.A., Massaro J.M., Murabito J.M., Kreger BE., Hoffmann U., Fox CS.: Body fat distribution, incident cardiovascular disease, cancer, and all-cause mortality. J Am Coll Cardiol 2013;62(10):921-925. doi: 10.1016/j.jacc.2013.06.027
  • 12. Burton R.F.: Waist circumference as an indicator of adiposity and the relevance of body height. Med Hypotheses 2010;75(1):115-119. https://doi.org/10.1016/j.mehy.2010.02.003
  • 13. Cheung, Y.B.: “A Body Shape Index” in middle-age and older Indonesian population: scaling exponents and association with incident hypertension. PLoS One 2014;9(1):e85421. doi: 10.1371/journal.pone.0085421
  • 14. Dhana K., Kavousi M., Ikram M.A., Tiemeier H.W., Hofman A., Franco O.H.: Body shape index in comparison with other anthropometric measures in prediction of total and cause-specific mortality. J Epidemiol Community Health 2016;70(1):90-96. doi: 10.1136/jech-2014-205257
  • 15. Dmitruk A., Czeczelewski J., Czeczelewska E., Golach J., Parnicka U.: Body composition and fatty tissue distribution in women with various menstrual status. Rocz Panstw Zakl Hig 2018; 69(1):95-101.
  • 16. Duncan M.J., Mota J., Vale S., Santos M.P., Ribeiro J.C.: Associations between body mass index, waist circumference and body shape index with resting blood pressure in Portuguese adolescents. Ann Human Biol 2013;40(2):163-167. doi: 10.3109/03014460.2012.752861
  • 17. Fox C.S., Massaro J.M., Hoffmann U., Pou K.M., Maurovich-Horvat P., Liu Ch.Y, Ramachandran S. Vasa, Murabito JM., Meigs J.B., Cupples L.A., D’Agostino R.D., O’Donnell Ch.J.: Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 2007;116(1):39-48. DOI: 10.1161/CIRCULATIONAHA.106.675355
  • 18. Gažarová M., Mečiarová L., Kopčeková J., Holovičová M., Habánová M., Bronkowska M.: Comparison of selected parameters of body composition in a group of sporting and non-sporting women. Rocz Panstw Zakl Hig 2018;69(3):257-266.
  • 19. Gómez-Ambrosi J., Silva C., Galofré J.C., Escalada J., Santos S., Millán D., Vila N., Ibañez P., Gil MJ., Valentí V., Rotellar F., Ramírez B., Salvador J., Frühbeck G.: Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity. Int J Obes (Lond) 2011; 36(2):286-294. doi: 10.1038/ijo.2011.100
  • 20. He S., Zheng Y., Wang H., Chen X.: Assessing the relationship between a body shape index and mortality in a group of middle aged men. Clin Nutr 2017;36(5):1355-1359. doi: 10.1016/j.clnu.2016.09.003
  • 21. Janssen I., Heymsfield S.B., Allison D.B., Kotler D.P., Ross R.: Body mass index and waist circumference independently contribute to the prediction of non abdominal, abdominal subcutaneous, and visceral fat. Am J ClinNutr 2002;75(4):683-688. DOI: 10.1093/ajcn/75.4.683
  • 22. Ji M., Zhang S., An R.: Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis. Obesity Reviews 2018;19(5):737-759. doi: 10.1111/obr.12666
  • 23. Kalmijn S., Curb, J., Rodriguez, B., Yano, K., Abbott, R.: The association of body weight and anthropometry with mortality in elderly men: the Honolulu Heart Program. Int J Obes Relat Metab Disord 1999;23:395-402.
  • 24. Kang, S.M., Yoon, J.W., Ahn, H.Y., Kim, S.Y., Lee, K.H. et al.: Android fat depotis more closely associated with metabolic syndrome than abdominal visceral fat in elderly people. PLoS ONE 2011;6(11):e27694. doi: 10.1371/journal.pone.0027694
  • 25. Katzmarzyk, P.T., Barreira, T.V., Harrington, D.M., Staiano, A.E., Heymsfield, S.B. et al.: Relationship between abdominal fat and bone mineral density in white and African American adults. Bone 2012;50(2):576-579. doi: 10.1016/j.bone.2011.04.012
  • 26. Kłósek P., Grosicki S., Całyniuk B.: Improving the effectiveness of obesity treatment by combining a diet and motivational techniques. Rocz Panstw Zakl Hig 2018; 69(3):299-305.
  • 27. Kopčeková J., Lorková M., Habánová M., Chlebo P., Ferenčíková Z., Chlebová Z.: The occurence of risk factors of cardiovascular diseases and the effect of selected dietary habits on the lipid profile and body mass index. Potravinarstvo 2015;9(1):330-336. doi: 10.5219/491.
  • 28. Kopčeková J., Mrázová J., Habánová M., Lorková M., Gažarová M.: Assessment of risk factors for cardiovascular diseases. Medicina Sportiva Bohemica & Slovaca 2014;23(3):143-148.
  • 29. Krakauer N.Y., Krakauer J.C.: A new body shape index predicts mortality hazard independently of body mass index. Plos One 2012;7(7):e39504. doi: 10.1371/journal.pone.0039504
  • 30. Krakauer N.Y., Krakauer J.C.: Dynamic association of mortality hazard with body shape. Plos One 2014;9:e88793. https://doi.org/10.1371/journal.pone.0088793
  • 31. Krauss R.M., Winston M.: Obesity: impact on cardiovascular disease. Circulation 1998;98:1472-1476.
  • 32. Nuttall F.Q.: Body mass index. Obesity, BMI, and health: a critical review. Nutr Today 2015;50(3):117-128. DOI: 10.1097/NT.0000000000000092
  • 33. Palafox M.P., Celis L., Romero M.S.C., Russi A., Juárez A.C.H., Almonacid Urrego A.C., Romero E.C., Zerón H.M.: Identification of metabolic indicators for cardiovascular risk in schoolchildren. Rocz Panstw Zakl Hig 2019;70(1):89-96. https://doi.org/10.32394/rpzh.2019.0058
  • 34. Petursson H., Sigurdsson J.A., Bengtsson C., Nilsen T.I.L., Getz L.: Body configuration as a predictor of mortality: comparison of five anthropometric measures in a 12 year follow-up of the Norwegian HUNT 2 study. PLoS ONE 2011;6(10):e26621. doi: 10.1371/journal.pone.0026621
  • 35. Sakurai M., Kobayashi J., Takeda Y., Nagasawa SY., Yamakawa J., Moriya J., Mabuchi H., Nakagawa H.: Sex differences in associations among obesity, metabolic abnormalities, and chronic kidney disease in Japanese men and women. J Epidemiol 2016;26(8):440-446. doi: 10.2188/jea.JE20150208
  • 36. Sato, Y., Fujimoto, S., Konta, T., Iseki, K., Moriyama, T., Yamagata, K., Tsuruya K., Ichiei Narita, Kondo M., Kasahara M., Shibagaki Y., Asahi K, Watanabe T.: Body shape index: Sex-specific differences in predictive power for all-cause mortality in the Japanese population. PLoS ONE 2017;12(5):e0177779. https://doi.org/10.1371/journal.pone.0177779
  • 37. Schneider H.J., Glaesmer H., Klotsche J., Böhler S., Lehnert H., Zeiher A.M., März W., Pittrow D., Stalla G.K., Wittchen H.U., DETECT Study Group.: Accuracy of anthropometric indicators of obesity to predict cardio-vascular risk. J Clin Endocrinol Metab 2007;92(2):589-594. DOI: 10.1210/jc.2006-0254
  • 38. Seidell J.C., Perusse L., Despres J.-P., Bouchard C.: Waist and hip circumference shave independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J ClinNutr 2001;74(3):315-321. DOI: 10.1093/ajcn/74.3.315
  • 39. Sjostrom C.D., Lissner L., Wedel H., Sjostrom L.: Reduction in incidence of diabetes, hypertension and lipid disturbances after interventional weight loss induced by bariatric surgery: the SOS Intervention Study. Obes Res 1999;7(5):477-484.
  • 40. Song X., Jousilahti P., Stehouwer C.D., Soderberg S., Onat A., Laatikainen T., Yudkin JS., Dankner R., Morris R., Tuomilehto J., Qiao Q.: Comparison of various surrogate obesity indicators as predictors of cardiovascular mortality in four European populations. Eur J ClinNutr 2013;67(12):1298-1302. doi: 10.1038/ejcn.2013.203
  • 41. Sumner A.E., Sen S., Ricks M., Frempong BA., Sebring NG., Kushner H.: Determining the waist circumference in African Americans which best predicts insulin resistance. Obesity (Silver Spring) 2008;16(4):841-886. doi: 10.1038/oby.2008.11
  • 42. Vazquez G., Duval S., Jacobs D.R. Jr, Silventoinen K.: Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev 2007;29:115-128. DOI: 10.1093/epirev/mxm008
  • 43. WHO: Global health risks: Mortality and burden of disease attributable to selected major risks. Technical report 2009; World Health Organization. URL http://www.who.int/entity /healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf.
  • 44. Xu Y., Yan W., Cheung Y.B.: Body shape indices and cardiometabolic risk in adolescents. Ann Hum Biol 2015;42(1):70-75. doi: 10.3109/03014460.2014.903998
  • 45. Zbrońska I., Mędrela-Kuder E.: The level of physical activity in elderly persons with overweight and obesity. Rocz Panstw Zakl Hig 2018; 69(4):369-373.
  • 46. Zhang D., Chen J., Wang J., Gong S, Jin H, Sheng P., Qi X Lv L., Dong Y., Hou L.: Body mass index and risk of brain tumors: a systematic review and dose–response metaanalysis. Eur J ClinNutr 2016;70(7):757-765. doi: 10.1038/ejcn.2016.4

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Bibliografia

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