Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Phương trình dự đoán mới để đánh giá tỷ lệ mỡ cơ thể của phụ nữ và nguy cơ bệnh tim mạch liên quan đến béo phì
Tóm tắt
Béo phì là một vấn đề sức khỏe cộng đồng toàn cầu do sự liên quan của nó với các bệnh tim mạch và giảm tuổi thọ. Phân loại béo phì phổ biến nhất được thể hiện dưới dạng Chỉ số Khối cơ thể (BMI); tuy nhiên, công thức này là một phương pháp đo lường mỡ không chính xác vì bỏ qua nhiều yếu tố quan trọng khác liên quan. Chỉ số Mỡ cơ thể (BAI) được đề xuất gần đây như một phương pháp gián tiếp để đánh giá tỷ lệ phần trăm mỡ cơ thể (PBF). PBF là một thước đo trực tiếp về tỷ lệ mỡ cơ thể của một người và là một dấu hiệu dự đoán tốt hơn về các bệnh liên quan đến béo phì so với BMI và BAI. Vì béo phì và các bệnh liên quan được coi là dịch bệnh, các công thức chính xác mới cho các nghiên cứu dịch tễ học đang thu hút sự quan tâm của cộng đồng khoa học. Bởi vì việc đo lường trực tiếp thành phần cơ thể có thể khá đắt đỏ, mục tiêu của công trình này là phân tích sự phân bố của PBF bằng phương pháp hấp thụ tia X đôi và tạo ra một phương trình dự đoán mới chỉ sử dụng các phép đo nhân trắc học có thể hữu ích cho các bác sĩ lâm sàng trong việc dễ dàng đánh giá mỡ cơ thể của bệnh nhân nữ. Một mẫu gồm 1.031 phụ nữ Ý da trắng đã được tuyển chọn, và BMI, BAI cùng PBF đã được đánh giá. Nhằm phát triển một mô hình dự đoán PBF, một mô hình hồi quy đa biến đã được khớp với dữ liệu quan sát. Định nghĩa về PBF được công nhận toàn cầu theo giới tính và tuổi tác có thể có những tác động đến sức khỏe cộng đồng. Trong nghiên cứu này, chúng tôi đã phát triển một phương trình PBF dự đoán mới mà không cần đến các dụng cụ y tế hoặc kỹ thuật đo lường chuyên nghiệp và có thể được áp dụng dễ dàng cho phụ nữ Ý.
Từ khóa
#béo phì; tỷ lệ mỡ cơ thể; bệnh tim mạch; sức khỏe cộng đồng; phương trình dự đoán; nhân trắc họcTài liệu tham khảo
Bray G, Bellanger T (2006) Epidemiology, trends, and morbidities of obesity and the metabolic syndrome. Endocrine 29:109–117
Finucane MM, Stevens GA, Cowan MJ et al (2011) National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet 377(9765):557–567
Indagine multiscopo annuale sulle famiglie. “Aspetti della vita quotidiana” Anno 2009, ISTAT 2011
Poirier P (2007) Adiposity and cardiovascular disease: are we using the right definition of obesity? Eur Heart J 28:2047–2048
Gómez-Ambrosi J, Silva C, Galofré JC, Escalada J et al (2012) Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity. Int J Obes (Lond) 36(2):286–294
Flegal KM (2010) Commentary: the quest for weight standards. Int J Epidemiol 39(4):963–967
Sun Q, van Dam RM, Spiegelman D et al (2010) Comparison of dual-energy X-ray absorptiometric and anthropometric measures of adiposity in relation to adiposity-related biologic factors. Am J Epidemiol 172(12):1442–1454
Li C, Ford ES, Zhao G, Balluz LS, Giles WH (2009) Estimates of body composition with dual-energy X-ray absorptiometry in adults. Am J Clin Nutr 90(6):1457–1465
Romero-Corral A, Somers VK, Sierra-Johnson J, Jensen MD et al (2007) Diagnostic performance of body mass index to detect obesity in patients with coronary artery disease. Eur Heart J 28:2087–2093
Fleming TR, DeMets DL (1996) Surrogate end points in clinical trials: are we being misled? Ann Intern Med 125:605–613 (Review)
De Lorenzo A, Deurenberg P, Pietrantuono M, Di Daniele N, Cervelli V, Andreoli A (2003) How fat is obese? Acta Diabetol 40:S254–S257
Di Monaco M, Vallero F, Di Monaco R, Tappero R (2011) Prevalence of sarcopenia and its association with osteoporosis in 313 older women following a hip fracture. Arch Gerontol Geriatr 52(1):71–74
Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 39(4):412–423
Etchison WC, Bloodgood EA, Minton CP et al (2011) Body mass index and percentage of body fat as indicators for obesity in an adolescent athletic population. Sports Health 3(3):249–252
Shea JL, King MT, Yi Y, Gulliver W, Sun G (2011) Body fat percentage is associated with cardiometabolic dysregulation in BMI-defined normal weight subjects. Nutr Metab Cardiovasc Dis 22(9):741–747
Marques-Vidal P, Pecoud A, Hayoz D et al (2009) Normalweight obesity: relationship with lipids, glycaemic status, liver enzymes and inflammation. Nutr Metab Cardiovasc Dis 20(9):669–675
Romero-Corral A, Somers VK, Sierra-Johnson J et al (2010) Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality. Eur Heart J. 31(6):737e46
Shea JL, Randell EW, Sun G (2011) The prevalence of metabolically healthy obese subjects defined by BMI and dual-energy X-ray absorptiometry. Obesity (Silver Spring) 19(3):624–630
World Health Organization (1995) Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser 854:1–452
Okorodudu DO, Jumean MF, Montori VM et al (2010) Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes 34(5):791–799
Romero-Corral A, Somers VK, Sierra-Johnson J et al (2008) Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond) 32:959e66
De Lorenzo A, Bianchi A, Maroni P et al (2013) Adiposity rather than BMI determines metabolic risk. Int J Cardiol 166:111–117
Mazess RB, Barden HS, Bisek JP, Hanson J (1990) Dual-energy X-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition. Am J Clin Nutr 51:1106–1112
Roche AF, Sievogel RM, Chumlea WC, Webb P (1981) Grading body fatness from limited anthropometric data. Am J Clin Nutr 34:2831–2838
Gallagher D, Heymsfield SB, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y (2000) Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 72(3):694–701
Deurenberg P, Weststrate JA, Seidell JC (1991) Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr 65(2):105–114
Martarelli D, Martarelli B, Pompei P (2008) Body composition obtained from the body mass index: an Italian study. Eur J Nutr 47(8):409–416
Bergman RN, Stefanovski D, Buchanan TA et al (2011) A better index of body adiposity. Obesity (Silver Spring) 19:1083–1089
Schulze MB, Thorand B, Fritsche A et al (2012) Body adiposity index, body fat content and incidence of type 2 diabetes. Diabetologia 55:1660–1667
Vinknes KJ, Elshorbagy AK, Drevon CA et al (2013) Evaluation of the body adiposity index in a Caucasian population: the Hordaland health study. Am J Epidemiol 177(6):586–592
Ruderman NB, Chisholm D, Pi-Suneir X, Schneider SH (1998) The metabolically preobese–obese normal weight revisited. Diabetes 47:699–713
Karelis AD, St-Pierre DH, Conus F, Rabasa-Lhoret R, Poehlman ET (2004) Metabolic and body composition factors in subgroups of obesity: what do we know? J Clin Endocrinol Metab 89:2569–2575
De Lorenzo A, Martinoli R, Vaia F, Di Renzo L (2006) Normal weight obese (NWO) women: an evaluation of candidate new syndrome. Nutr Metab Cardiovasc Dis 16(8):513–523
World Health Organization. Obesity: Preventing and Managing the Global Epidemic. Report Series 894 on a WHO Consultation on Obesity, WHO, Geneva, Swizerland, 2000. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser, 1995
Parodi E, De Lorenzo A (2009) I disturbi del comportamento alimentare, vol 6. Collana Universalia, Fondazione E.N.P.A.M
Lohman TG, Roche AF, Martorell R (1998) Anthropometric Standardization Reference Manual. Human Kinetics, Champaign
Norton K, Olds T (1996) Anthropometrica. UNSW Press, Sydney
Wang J, Thornton JC, Bari S et al (2003) Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr 77:379–384
Shai I, Shahar DR, Vardi H, Fraser D (2004) Selection of food items for inclusion in a newly developed food-frequency questionnaire. Public Health Nutr 7(6):745–749
Wilson MMG, Thomas DR, Rubenstein LZ et al (2005) Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. Am J Clin Nutr 82:1074–1081
Gortmaker SL, Peterson K, Wiecha J et al (1999) Reducing obesity via a school-based interdisciplinary intervention among youth: planet Health. Arch Pediatr Adolesc Med 153:409–418
Di Renzo L, Del Gobbo V, Bigioni M, Premrov MG, Cianci R, De Lorenzo A (2006) Body composition analyses in normal weight obese women. Eur Rev Med Pharmacol Sci 10:191–196
Deurenberg P, Andreoli A, Borg P et al (2001) The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr 55(11):973–979
Royston P, Altman DG (1994) Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling (with Discussion). Appl Stat 43:429–467
European health for all database (HFA-DB), WHO/Europe. http://www.euro.who.int/hfadb
Panico S, Mattiello A (2010) Epidemiology of cardiovascular diseases in women in Europe. Nutr Metab Cardiovasc Dis 20(6):379–385
Lopez-Jimenez F (2009) Speakable and unspeakable facts about BMI and mortality. Lancet 373:1055–1056
Word Health Organization (2003) Diet, nutrition and the prevention of chronic diseases. Tech Rep Ser 916:1–149
World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report Series 894 on a WHO Consultation on Obesity. WHO, Geneva
De Lorenzo A, Del Gobbo V, Premrov MG et al (2007) Normal-weight obese syndrome: early inflammation? Am J Clin Nutr 85:40–45
Kennedy A, Shea JL, Sun G (2009) Accuracy of BMI to estimate obesity: a parallel comparison with dual-energy X-ray absorptiometry in the Newfoundland population. Obesity 17(11):2094e9
The Emerging Risk Factors Collaboration, Wormser D, Kaptoge S et al (2011) Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet 377:1085–1095
European Heart Network. Cardiovascular disease statistics. http://www.ehnheart.org (2008 edition)
Di Renzo L, Galvano F, Orlandi C et al (2010) Oxidative stress in normal-weight obese syndrome. Obesity (Silver Spring) 18(11):2125–2130
Di Renzo L, Bigioni M, Bottini FG et al (2006) Normal weight obese syndrome: role of single nucleotide polymorphism of IL-15R-alpha and MTHFR 677CT genes in the relationship between body composition and resting metabolic rate. Eur Rev Med Pharmacol Sci 10:235–245
Di Renzo L, Bigioni M, Del Gobbo V et al (2007) Interleukin-1 (IL-1) receptor antagonist gene polymorphism in normal weight obese syndrome: relationship to body composition and IL-1α and β plasma levels. Pharmacol Res 55:131–138
Di Renzo L, Bertoli A, Bigioni M et al (2008) Body composition and −174 G/C interleukin-6 promoter gene polymorphism: association with progression of insulin resistance in normal weight obese syndrome. Curr Pharm Des 14:2699–2706
Marques-Vidal P, Pécoud A, Hayoz D et al (2008) Prevalence of normal weight obesity in Switzerland: effect of various definitions. Eur J Nutr 47(5):251–257
Marques-Vidal P, Pécoud A, Hayoz D et al (2010) Normal weight obesity: relationship with lipids, glycaemic status, liver enzymes and inflammation. Nutr Metab Cardiovasc Dis 20(9):669–675
Fox CS, Masaro JM, Hoffman U et al (2007) Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 116(1):39–48
Preis SR, Massaro JM, Robins SJ et al (2010) Abdominal subcutaneous and visceral adipose tissue and insulin resistance in the Framingham Heart Study. Obesity 18:2191–2198
St. Onge M-P, Janssen I, Heymsfield SB (2004) Metabolic syndrome in normal-weight Americans. Diabetes Care 27(9):2222e8
Succurro E, Marini MA, Fronton S et al (2008) Insulin secretion in metabolically obese, but normal weight, and in metabolically healthy but obese individuals. Obesity 16:1881e6
Shea JL, King MTC, Yi Y, Gulliver W, Sun G (2012) Body fat percentage is associated with cardiometabolic dysregulation in BMI-defined normal weight subjects. Nutr Metab Cardiovasc Dis 22:741e747
Sun Q, Townsend MK, Okereke OI et al (2009) Adiposity and weight change in mid-life in relation to healthy survival after age 70 in women: prospective cohort study. BMJ 339:b3796
Elia M (2001) Obesity in the elderly. Obes Res 9:244–248
Gallagher D, Heymsfield SB, Heo M, Jebb SA, Murgatroyd PR, Sakamoto Y (2000) Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 72:694–701
Janssen I, Katzmarzyk PT, Ross R (2004) Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 79:379–384
Bigaard J, Tjonneland A, Thomsen BL, Overvad K, Heitmann BL, Sorensen TI (2003) Waist circumference, BMI, smoking, and mortality in middle-aged men and women. Obes Res 11:895–903
Bigaard J, Frederiksen K, Tjonneland A et al (2005) Waist circumference and body composition in relation to all-cause mortality in middle-aged men and women. Int J Obes 29:778–784
Visscher TL, Seidell JC, Molarius A, van der Kuip D, Hofman A, Witteman JC (2001) A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. Int J Obes Relat Metab Disord 25:1730–1735
Bombelli M, Facchetti R, Fodri D et al (2013) Impact of body mass index and waist circumference on the cardiovascular risk and all-cause death in a general population: data from the PAMELA study. Nutr Metab Cardiovasc Dis 23:650–656
Kanaya AM, Vittinghoff E, Shlipak MG et al (2003) Association of total and central obesity with mortality in postmenopausal women with coronary heart disease. Am J Epidemiol 158:1161–1170
Rexrode KM, Carey VJ, Hennekens CH et al (1998) Abdominal adiposity and coronary heart disease in women. JAMA 280:1843–1848
Madeira FB, Silva AA, Veloso HF et al (2013) Normal weight obesity is associated with metabolic syndrome and insulin resistance in young adults from a middle-income country. PLoS ONE 8(3):e60673