LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,518
تعداد مشاهده مقاله45,416,254
تعداد دریافت فایل اصل مقاله11,292,109
Shahab Jahanlou, Alireza, Kouzekanani, Kamiar. (1395). The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians. سامانه مدیریت نشریات علمی, 41(4), 288-295.
Alireza Shahab Jahanlou; Kamiar Kouzekanani. "The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians". سامانه مدیریت نشریات علمی, 41, 4, 1395, 288-295.
Shahab Jahanlou, Alireza, Kouzekanani, Kamiar. (1395). 'The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians', سامانه مدیریت نشریات علمی, 41(4), pp. 288-295.
Shahab Jahanlou, Alireza, Kouzekanani, Kamiar. The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians. سامانه مدیریت نشریات علمی, 1395; 41(4): 288-295.

The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians

Iranian Journal of Medical Sciences
مقاله 5، دوره 41، شماره 4، مهر 2016، صفحه 288-295    اصل مقاله (482.96 K)
نوع مقاله: Original Article(s)
نویسندگان
Alireza Shahab Jahanlou* 1؛ Kamiar Kouzekanani2
1Department of Health Education, Hormozgan University of Medical Sciences, Bandar Abbas, Iran; and Visiting Scholar, College of Education, Texas A&M University-Corpus Christi, USA;
2Department of Quantitative Methodology, College of Education, Texas A&M University-Corpus Christi, USA
چکیده
Background: The study was conducted to examine the comparability of the BMI and Gallagher’s classification in diagnosing obesity based on the cutoff points of the gold standards and to estimate suitable cutoff points for detecting obesity among Iranians.Methods: The cross-sectional study was comparative in nature. The sample consisted of 20,163 adults. The bioelectrical impedance analysis (BIA) was used to measure the variables of interest. Sensitivity, specificity, positive predictive power (PPV), and negative predictive power (NPV) were used to evaluate the comparability of the two classification methods in detecting obesity.Results: The BMI wrongly classified 29% of the obese persons as overweight. In both classifications, as age increased, the accuracy of detecting obesity decreased. The Gallagher’s classification is better than MBI in detecting obesity in men with the exception of those older than 59 years. In females, the BMI was better in determining sensitivity. In both classifications, either female or male, an increase in age was associated with a decrease in sensitivity and NPV with the exception of the BMI for the 18 year olds. Gallagher can correctly classify males and females who are less than 40 and 19 years old, respectively. Conclusion: Gallagher’s classification is recommended for non-obese in both sexes and in obese males younger than 40 years old. The BMI is recommended for obese females. The suitable cutoff points for the BMI to detect obesity are 27.70 kg/m2 for females and males, 27.70 kg/m2 for females, and 27.30 kg/m2 for males. 
کلیدواژه‌ها
Fat body؛ Body mass index؛ Obesity؛ Overweight
مراجع
  1. Hasani-Ranjbar S, Nayebi N, Larijani B, Abdollahi M. A systematic review of the efficacy and safety of herbal medicines used in the treatment of obesity. World J Gastroenterol. 2009;15:3073-85. doi: 10.3748/wjg.15.3073.
  2. Sood A, Sundararaj P, Sharma S, Kurpad AV, Muthayya S. BMI and body fat percent: affluent adolescent girls in Bangalore City. Indian Pediatr. 2007;44:587-91. PubMed PMID: 17827634.
  3. De Schutter A, Lavie CJ, Milani RV. The impact of obesity on risk factors and prevalence and prognosis of coronary heart disease-the obesity paradox. Prog Cardiovasc Dis. 2014;56:401-8. doi: 10.1016/j.pcad.2013.08.003. PubMed PMID: 24438731.
  4. Eveleth PB. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. Wiley Online Library. 1996;854:1-452.
  5. Velazquez-Alva Mdel C, Irigoyen-Camacho ME, Huerta-Huerta R, Delgadillo-Velazquez J. A comparison of dual energy x-ray absorptiometry and two bioelectrical impedance analyzers to measure body fat percentage and fat-free mass index in a group of Mexican young women. Nutr Hosp. 2014;29:1038-46. doi: 10.3305/nh.2014.29.5.7254. PubMed PMID: 24951983.
  6. Yamada Y, Masuo Y, Nakamura E, Oda S. Inter-sport variability of muscle volume distribution identified by segmental bioelectrical impedance analysis in four ball sports. Open Access J Sports Med. 2013;4:97-108. doi: 10.2147/OAJSM.S43512. PubMed PMID: 24379714; PubMed Central PMCID: PMC3871051.
  7. Yamada Y, Yamashita D, Yamamoto S, Matsui T, Seo K, Azuma Y, et al. Whole-body and segmental muscle volume are associated with ball velocity in high school baseball pitchers. Open Access J Sports Med. 2013;4:89-95. doi: 10.2147/OAJSM.S42352. PubMed PMID: 24379713; PubMed Central PMCID: PMC3873239.
  8. Wilson JP, Strauss BJ, Fan B, Duewer FW, Shepherd JA. Improved 4-compartment body-composition model for a clinically accessible measure of total body protein. Am J Clin Nutr. 2013;97:497-504. doi: 10.3945/ajcn.112.048074. PubMed PMID: 23364008.
  9. Leahy S, O'Neill C, Sohun R, Jakeman P. A comparison of dual energy X-ray absorptiometry and bioelectrical impedance analysis to measure total and segmental body composition in healthy young adults. Eur J Appl Physiol. 2012;112:589-95. doi: 10.1007/s00421-011-2010-4. PubMed PMID: 21614505.
  10. Ezzati M, Lopez AD, Rodgers A, Murray CJL. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. Geneva; World Health Organization: 2004.
  11. Mirzazadeh A, Salimzadeh H, Arabi M, Navadeh S, Hajarizadeh B, Haghdoost AA. Trends of Obesity in Iranian Adults from 1990s to late 2000s; a Systematic Review and Meta-analysis. Middle East J Dig Dis. 2013;5:151-7. PubMed PMID: 24829686; PubMed Central PMCID: PMC3990178.
  12. Gharipour M, Sadeghi M, Dianatkhah M, Bidmeshgi S, Ahmadi A, Tahri M, et al. The cut-off values of anthropometric indices for identifying subjects at risk for metabolic syndrome in Iranian elderly men. J Obes. 2014;2014. doi: 10.1155/2014/907149.
  13. Shabnam AA, Homa K, Reza M, Bagher L, Hossein FM, Hamidreza A. Cut-off points of waist circumference and body mass index for detecting diabetes, hypercholesterolemia and hypertension according to National Non-Communicable Disease Risk Factors Surveillance in Iran. Arch Med Sci. 2012;8:614-21. doi: 10.5114/aoms.2012.30284.
  14. Ghorbani B. The assessment of body composition by bioelectrical impedance analysis among personals of Iranian Azerbaijan Shahid Madani University. Sport Physiology. 2013;17:115-13. Persian.
  15. Shahneshin M, Neyestani T. Comparison of bioelectrical impedance analysis and body mass index methods in determining the prevalence of overweight and obesity. The Journal of Qazvin University of Medical Sciences. 2012;65:18-25. Persian.
  16. Ejtahed HS, Asghari G, Mirmiran P, Hosseinpour-Niazi S, Sherafat-KazemZadeh R, Azizi F. Body mass index as a measure of percentage body fat prediction and excess adiposity diagnosis among Iranian adolescents. Arch Iran Med. 2014;17:400-5. doi: 014176/AIM.005. PubMed PMID: 24916524.
  17. Heydari ST, Ayatollahi SM, Zare N. Diagnostic value of bioelectrical impedance analysis versus body mass index for detection of obesity among students. Asian J Sports Med. 2011;2:68-74. doi: 10.5812/asjsm.34777. PubMed PMID: 22375221; PubMed Central PMCID: PMC3289197.
  18. Shekari-Ardekani MJ, Afkhami-Ardekani M, Poorsaid Isfahani M, Khosravi S. Bioelectrical Impedance versus Body Mass Index for Predicting Body Composition Parameters in Sedentary Job Women. Iranian Journal of Diabetes and Obesity. 2012;4:172-7.
  19. Shakerian S, Nikbakht M. Validity of Body Density with Methods of Body Mass Index, Skin Fold, Bio-Electrical Impedance & Criterion Method of Hydrostatic in Men Athletes of Swimming. Journal of Physical Education & Sports Science/Beden Egitimi ve Spor Bilimleri Dergisi. 2011;5:24-29.
  20. Suchanek P, Kralova Lesna I, Mengerova O, Mrazkova J, Lanska V, Stavek P. Which index best correlates with body fat mass: BAI, BMI, waist or WHR? Neuro Endocrinol Lett. 2012;33:78-82. PubMed PMID: 23183515.
  21. Goh VH, Tain CF, Tong TY, Mok HP, Wong MT. Are BMI and other anthropometric measures appropriate as indices for obesity? A study in an Asian population. J Lipid Res. 2004;45:1892-8. doi: 10.1194/jlr.M400159-JLR200. PubMed PMID: 15258201.
  22. Herrera VM, Casas JP, Miranda JJ, Perel P, Pichardo R, Gonzalez A, et al. Interethnic differences in the accuracy of anthropometric indicators of obesity in screening for high risk of coronary heart disease. Int J Obes (Lond). 2009;33:568-76. doi: 10.1038/ijo.2009.35. PubMed PMID: 19238159; PubMed Central PMCID: PMC2687093.
  23. Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, et al. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond). 2008;32:959-66. doi: 10.1038/ijo.2008.11. PubMed PMID: 18283284; PubMed Central PMCID: PMC2877506.
  24. Gallagher D, Heymsfield SB, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr. 2000;72:694-701. PubMed PMID: 10966886.
  25. Mirzazadeh A, Sadeghirad B, Haghdoost A, Bahreini F, Rezazadeh Kermani M. The prevalence of obesity in Iran in recent decade; a systematic review and meta-analysis study. Iran J Public Health. 2009;38:1-11.
  26. Bioelectrical impedance analysis in body composition measurement: National Institutes of Health Technology Assessment Conference Statement. Am J Clin Nutr. 1996;64:524S-32S. PubMed PMID: 8780375.
  27. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993;39:561-77. PubMed PMID: 8472349.
  28. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29-36. doi: 10.1148/radiology.143.1.7063747.
  29. Sood A, Sundararaj P, Sharma S, Kurpad AV, Muthayya S. BMI and body fat percent: affluent adolescent girls in Bangalore City. Indian Pediatr. 2007;44:587-91. PubMed PMID: 17827634.
  30. Friedl KE, DeLuca JP, Marchitelli LJ, Vogel JA. Reliability of body-fat estimations from a four-compartment model by using density, body water, and bone mineral measurements. Am J Clin Nutr. 1992;55:764-70. PubMed PMID: 1550056.
  31. Basri R, Shaik MM, Alam MK, Mondol MBA, Mohammad QD, Gan SH. Waist to hip ratio, waist to height ratio and body mass index predict stroke risk in a Bangladeshi population. International Medical Journal. 2013;20:740-3.
  32. Blew RM, Sardinha LB, Milliken LA, Teixeira PJ, Going SB, Ferreira DL, et al. Assessing the validity of body mass index standards in early postmenopausal women. Obes Res. 2002;10:799-808. doi: 10.1038/oby.2002.108. PubMed PMID: 12181389.
  33. Neovius M, Rasmussen F. Evaluation of BMI-based classification of adolescent overweight and obesity: choice of percentage body fat cutoffs exerts a large influence. The COMPASS study. Eur J Clin Nutr. 2008;62:1201-7. doi: 10.1038/sj.ejcn.1602846. PubMed PMID: 17684527.
  34. Coe D, Ode J, Pfeiffer K, Pivarnik J. Accuracy of body mass index to determine overweight in youth. Int J Body Compos Res. 2010;8:147-153.
  35. Jitnarin N, Poston WS, Haddock CK, Jahnke S, Tuley BC. Accuracy of body mass index-defined overweight in fire fighters. Occup Med (Lond). 2013;63:227-30. doi: 10.1093/occmed/kqs213. PubMed PMID: 23266431.
  36. De Schutter A, Lavie CJ, Patel DA, Artham SM, Milani RV. Relation of body fat categories by Gallagher classification and by continuous variables to mortality in patients with coronary heart disease. Am J Cardiol. 2013;111:657-60. doi: 10.1016/j.amjcard.2012.11.013. PubMed PMID: 23261004.
  37. Rothman KJ. BMI-related errors in the measurement of obesity. Int J Obes (Lond). 2008;32:S56-9. doi: 10.1038/ijo.2008.87. PubMed PMID: 18695655.
آمار
تعداد مشاهده مقاله: 3,358
تعداد دریافت فایل اصل مقاله: 1,304


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب