Effect of weight and body composition changes on waist measurement of severely obese women receiving carbohydrate-restricted diet

Authors

  • Andresa Toledo TRIFFONI-MELO Universidade de São Paulo
  • Rita de Cássia Lusia dos SANTOS Universidade de São Paulo
  • Rosa Wanda DIEZ-GARCIA Universidade de São Paulo

Keywords:

Abnominal circumference, Body composition, Diet, carbohydrate-restricted, Weight loss

Abstract

Objective
To evaluate the effect of weight and body composition changes on waist measurement of severely obese women receiving a low-carbohydrate diet for a short-term.

Methods
Nineteen severely obese women divided into an intervention and a control group received a low-carbohydrate diet and a conventional diet, respectively, both with 1,200kcal, for seven days. Anthropometric measurements such as weight, body mass index, arm circumference, waist circumference (at the navel), two proposed measurements of waist circumference (waist circumference 1, 10cm above the navel; and waist circumference 2, 20cm above the navel), hip circumference; and body composition (lean mass and fat mass) were performed at baseline and end of the study.

Results
There was significant reduction of all variables in the intervention group (p<0.01), but the control group had no change in waist circumference (p=0.06) and hip circumference (p=0.36). Patients of the intervention grouppresented greater weight loss (4.4kg, p<0.01) and reduction of body mass index, waist circumference, waist circumference 1, waist circumference 2 (p<0.01), and fat mass (p=0.04) than the control group.

Conclusion
The weight loss and body composition changes were greater in the low-carbohydrate group than in the conventional-diet group, and they had a greater impact on waist measurements. The proposed measurements (waist circumference 1 and waist circumference 2) were sensitive to weight reduction in both groups.

References

Ellis KJ. Select body composition methods can be used in field studies. J Nutr. 2001; 131(5):1589S-9 5S.

Perini TA, Oliveira GL, Ornellas JS, Oliveira FP. Cál culo do erro técnico de medição em antropometria. Rev Bras Med Esporte. 2005; 11(1):81-5. doi: 10.15 90/S1517-86922005000100009

Anjos LA. Índice de massa corporal (massa corpo ral.estatura-2) como indicador do estado nutricional de adultos: revisão da literatura. Rev Saúde Pública. 1992; 26(6):431-6. doi: 10.1590/50034-89101992 000600009

Rezende F, Rosado L, Franceschinni S, Rosado G, Ribeiro R, Marins JCB. Revisão crítica dos métodos disponíveis para avaliar a composição corporal em grandes estudos populacionais e clínicos. Arch Latinoam Nutr. 2007; 57(4):327-34.

Rankinen T, Kim SY, Pérusse L, Després JP, Bouchard C. The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis. Int J Obes Relat Metab Disord. 1999; 23(8):801-9. doi: 10.1038/sj.ijo.0800929

Pereira RA, Sichieri R, Marins VMR. Razão cintura/ quadril como preditor de hipertensão arterial. Cad Saúde Pública. 1999; 15(2):333-44. doi: 10.1590/S0 102-311X1999000200018

Ravensbergen HR, Lear S, Claydon VE. Waist circumference is the best index for obesity in individuals with spinal cord injury. J Neurotrauma. 2013; 37(3):336-46. doi: 10.1089/neu.2013.3042

Elobeid MA, Brock DW, Allison DB, Padilla MA, Ruden DM. Endocrine disruptors and obesity: An examination of selected persistent organic pollutants in the NHANES 1999-2002 data. Int J Environ Res Public Health. 2010; 7(7):2988-3005. doi: 10.3390/ijerph7072988

Walls HL, Magliano DJ, McNeil JJ, Stevenson C, Ademi Z, Shaw J, et al. Predictors of increasing waist circumference in an Australian population. Public Health Nutr. 2011; 14(5):870-81. doi: 10.1017/S13 68980010002673

Chumlea WM, Guo SS. Assessment and prevalence of obesity: Application of new methods to a major problem. Endocrine. 2000; 13(2):135-42. doi: 10.1 385/ENDO:13:2:135

Callaway CW, Chumlea WC, Bouchard C, Himes JH, Lohman TG, Martin AD, et al. Circumferences. In: Lohman TG, Roche AF, Martorell R, Editors. Anthropometric standardization reference manual. Champaign (Ill): Human Kinetics Books; 1988. p.39-54.

Arnold TJ, Schweitzer A, Hoffman HJ, Onyewu C, Hurtado ME, Hoffman EP, et al. Neck and waist circumference biomarkers of cardiovascular risk in a cohort of predominantly African-American college students: A preliminary study. J Acad Nutr Diet. 2014; 114(1):107-16. doi: 10.1016/j.jand.2013.0 7.005

Fett CA, Fett WCR, Marchini JS. Comparação entre a bioimpedância e antropometria e a relação de índices corporais ao gasto energético de repouso e marcadores bioquímicos sanguíneos em mulheres da normalidade à obesidade. Rev Bras Cineantropom Desempenho Hum. 2006; 8(1):29-36. doi: 10.15 90/S1415-790X2011000400014

Laquatra I. Nutrição para o controle de peso. In: KL Mahan, S Escott-Stuump. Krause: alimentos, nutrição e dietoterapia. 11ª ed. São Paulo: Rocca; 2004. p.535-60.

Yancy Jr. WS, Foy M, Chalecki AM, Vernon MC, Westman EC. A low-carbohydrate, ketogenic diet to treat type 2 diabetes. Nutr Metab. 2005; 2:34. doi: 10.1186/1743-7075-2-34

McAuley KA, Hopkins CM, Smith KJ, McLay RT, Williams SM, Taylor RW, et al. Comparison of high fat and high-protein diets with a high-carbohydrate diet in insulin-resistant obese women. Diabetologia. 2005; 48(1):8-16. doi: 10.1007/s00125-004

Brehm BJ, Seeley RJ, Daniels SR, D’Alessio DA. A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. J Clin Endocrinol Metab. 2003; 88(4):1617-23. doi: 10.1210/jc.2002-021480

Maclnnis RJ, Hodge AM, Dixon HG, Peeters A, Johnson LEA, English DR, et al. Predictors of increased body weight and waist circumference for middle-aged adults. Public Health Nutr. 2013; 1:1-11. doi: 10.1017/S1368980013001031

Brasil. Ministério da Saúde. Portaria 390, de 6 de julho de 2005. Institui diretrizes para a atenção ao paciente portador de obesidade. Brasília: Ministério da Saúde; 2005 [acesso 2010 out 3]. Disponível em: .

Triffoni-Melo AT, Dick-de-Paula I, Portari GV, Jordão AA, Chiarello PG, Diez-Garcia RW. Short-term carbohydrate-restricted diet for weight loss in severely obese women. Obes Surg. 2011; 21(8): 1194-202. doi: 10.1007/s11695-010-0110-6

Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Manuel Gómez J, et al. Bioelectrical impedance analysis-part II: Utilization in clinical practice. Clin Nutr. 2004; 23(6):1430-53. doi: 10.10 16/j.clnu.2004.09.012

Schall R. Estimation in generalized linear models with random effects. Biometrika. 1991; 78(4):719-27. doi: 10.1093/biomet/78.4.719

Montgomery DC. Design and Analysis of Experiments. 5th ed. New York: John Wiley & Sons; 2000.

World Health Organization. Obesity: Preventing and managing the global epidemic. Report of a WHO consultation on obesity. Geneva: WHO; 1998.

Verweij LM, Terwee CB, Proper KI, Hulshof CTJ, van Mechelen W. Measurement error of waist circumference: Gaps in knowledge. Public Health Nutr. 2013; 16(2):281-8. doi: 10.1017/S13689800 12002741

Laaksonen DE, Nuutinen J, Lahtinen T, Rissanen A, Niskanen LK. Changes in abdominal subcutaneous fat water content with rapid weight loss and long term weight maintenance in abdominally obese men and women. Int J Obes Relat Metab Disord. 2003; 27(6):677-83. doi: 10.1038/sj.ijp.0802296

Martins IS, Marinho SP. O potencial diagnóstico dos indicadores da obesidade centralizada. Rev Saúde Pública. 2003; 37(6):760-7. doi: 10.1590/S0034-89 102003000600011

Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witknow S, Greenberg I, et al. Weight loss with a low-carbohydrate, mediterranean, or low-fat diet. N Engl J Med. 2008; 359(3):229-41. doi: 10.1056/NE JMoa0708681

Samaha FF, Iqbal N, Seshadri P, Chicano KL, Dayli DA, McGrory J, et al. A low-carbohydrate as compared with low-fat diet in severe obesity. N Engl J Med. 2003; 348(21):2074-81. doi: 10.1056/NEJ Moa022637

Foster GD, Wyatt HR, Hill JO, McGuckin BG, Brill C, Mohammed BS, et al. A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med. 2003; 348(21):2082-90. doi: 10.1056/NEJMoa02 2207

Krieger WJ, Sitren HS, Daniels MJ, Langkamp Henken B. Effects of variation in protein and carbohydrate intake on body mass and composition during energy restriction: A meta-regression 1. Am J Clin Nutr. 2006; 83(2):260-74.

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Published

2023-04-13

How to Cite

Toledo TRIFFONI-MELO, A. ., Lusia dos SANTOS, R. de C. ., & DIEZ-GARCIA, R. W. . (2023). Effect of weight and body composition changes on waist measurement of severely obese women receiving carbohydrate-restricted diet. Brazilian Journal of Nutrition, 27(1). Retrieved from https://periodicos.puc-campinas.edu.br/nutricao/article/view/8278

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ORIGINAL ARTICLE