Alternatif Penilaian Status Gizi Untuk Deteksi Risiko Obesitas: Review

Authors

  • Nathasa Khalida Dalimunthe

Keywords:

nutritional status, assessment, anthropometry, biochemistry, obesity

Abstract

Introduction: Early detection of obesity can prevent complications and severity, due to the earlier detection of obesity will accelerate the provision of interventions and guidelines to be able to regulate body weight. Currently, techniques for measuring or detecting the risk of obesity have developed. Measurement of obesity is not only limited to body mass index, but other measurement methods have also been introduced with their respective advantages and disadvantages. The purpose of this literature review was to provide an alternative measurement to detect the risk of obesity in individuals.

Discussion: Body mass index was found to be less precise when used for athletes whose body composition has more muscle than fat, as well as older people because

 

there is a tendency for distribution to be concentrated in the abdominal area. Measurement of skin-fold thickness cannot be applied to individuals who are too obese. Waist circumference and waist to hip ratio in several studies show better measurements for detecting body fat in individuals. The use of tools in detecting obesity such as air displacement plethysmography and dual energy x-ray absorptiometry is quite good, but has limitation, namely the tools used are expensive and impractical. Invasive use of biochemical biomarkers such as inflammatory biomarkers, serum lipids, adipose tissue is more accurate for individuals, but the limitation that they are expensive and require a long time to analyze.

Conclusion: The majority of anthropometric measurements are easier, faster and cheaper, so that they can be carried out on the population, while biochemical measurements are expensive, time consuming, not simple, and better only done on individuals, but the measurement results more accurately describe the individual's body condition. Further research is needed, especially in biochemical measurements, so that it can be a reference in the field of nutrigenetics and personal recommendation diet.

References

Kemenkes. Riset Kesehatan Dasar Tahun 2018. Kementerian Kesehatan RI; 2018.

Pischon T, Nimptsch K. Obesity and risk of cancer: an introductory overview. Obesity and Cancer 2016;1–15.

Hruby A, Manson JE, Qi L, Malik VS, Rimm EB, Sun Q, et al. Determinants and consequences of obesity. Am J

Public Health 2016;106(9):1656–1662.

Piqueras P, Ballester A, Durá-Gil J v, Martinez-Hervas S, Redón J, Real JT. Anthropometric indicators as a tool for diagnosis of obesity and other health risk factors: a literature review. Front Psychol 2021;12:631179.

Andreoli A, Garaci F, Cafarelli FP, Guglielmi G. Body composition in clinical practice. Eur J Radiol 2016;85(8):1461–1468

Sandjaja dan Atmarita. Kamus Gizi Pelengkap Kesehatan Keluarga. Jakarta: PT Kompas Media Nusantara;

Beechy L, Galpern J, Petrone A, Das SK. Assessment tools in obesity— Psychological measures, diet, activity, and body composition. Physiol Behav 2012;107(1):154–71.

Templeton AJ, McNamara MG, Šeruga B, Vera-Badillo FE, Aneja P, Ocaña A, et al. Prognostic role of neutrophil-to- lymphocyte ratio in solid tumors: a systematic review and meta-analysis. JNCI: Journal of the National Cancer Institute 2014;106(6).

Phillips CM, Perry IJ. Does inflammation determine metabolic health status in obese and nonobese adults? J Clin Endocrinol Metab 2013;98(10):E1610–9.

Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, et al. A better index of body adiposity. Obesity 2011;19(5):1083–9.

Asif M, Aslam M, Altaf S, Majid A, Atif S. Evaluation of Anthropometric Parameters of Central Obesity among Professional Drivers: A Receiver

Operating Characteristic Analysis. Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal) 2020;15(3).

Lee RD, Nieman DC. Nutritional Assessment. McGraw-Hill Higher Education 6th Edition. Amerika Serikat: McGraw-Hill; 2012.

Pasco JA, Holloway KL, Dobbins AG, Kotowicz MA, Williams LJ, Brennan SL. Body mass index and measures of body fat for defining obesity and underweight: a cross-sectional, population-based study. BMC Obes 2014;1(1):1–7.

Consultation WHOE. Appropriate body-mass index for Asian populations and its implications for policy and intervention

strategies. Lancet 2004;363(9403):157–163.

Belarmino G, Torrinhas RS, Sala P, Horie LM, Damiani L, Lopes NC, et al. A new anthropometric index for body fat estimation in patients with severe obesity. BMC Obes 2018;5(1):1–8.

Freedman DS, Thornton JC, Pi‐Sunyer FX, Heymsfield SB, Wang J, Pierson Jr RN, et al. The body adiposity index (hip

circumference÷ height1. 5) is not a more accurate measure of adiposity than is BMI, waist circumference, or hip

circumference. Obesity 2012;20(12):2438–44.

Lam BCC, Koh GCH, Chen C, Wong MTK, Fallows SJ. Comparison of body mass index (BMI), body adiposity index (BAI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) as predictors of cardiovascular disease risk factors in an

adult population in Singapore. PLoS One 2015;10(4):e0122985.

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 2013;21(3):493–8.

Das SK. Body composition measurement in severe obesity. Curr

Opin Clin Nutr Metab Care 2005;8(6):602–6.

Olutekunbi OA, Solarin AU, Senbanjo IO, Disu EA, Njokanma OF. Skinfold thickness measurement in term Nigerian neonates: establishing reference values. Int J Pediatr 2018;2018.

Watts K, Naylor LH, Davis EA, Jones TW, Beeson B, Bettenay F, et al. Do skinfolds accurately assess changes in body fat in obese children and

adolescents? Med Sci Sports Exerc 2006;38(3):439–44.

Ahmad N, Adam SIM, Nawi AM, Hassan MR, Ghazi HF. Abdominal obesity indicators: waist circumference or waist-

to-hip ratio in Malaysian adults population. Int J Prev Med 2016;7.

Liu A, Hills AP, Hu X, Li Y, Du L, Xu Y, et al. Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study. BMC Public Health 2010;10(1):1–9.

Andreoli A, Garaci F, Cafarelli FP, Guglielmi G. Body composition in clinical practice. Eur J Radiol 2016;85(8):1461–1468.

National Institutes of Health NHL and BInstitute. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. National Institutes of Health, National Heart, Lung, and Blood Institute; 1998.

Shafer KJ, Siders WA, Johnson LK, Lukaski HC. Validity of segmental multiple-frequency bioelectrical impedance analysis to estimate body composition of adults across a range of body mass indexes. Nutrition 2009;25(1):25–32.

Ginde SR, Geliebter A, Rubiano F, Silva AM, Wang J, Heshka S, et al. Air displacement plethysmography:

validation in overweight and obese subjects. Obes Res 2005;13(7):1232–7.

Horie LM, Barbosa-Silva MCG, Torrinhas RS, de Mello MT, Cecconello I, Waitzberg DL. New body fat prediction

equations for severely obese patients. Clinical Nutrition 2008;27(3):350–6.

LaForgia J, Dollman J, Dale MJ, Withers RT, Hill AM. Validation of DXA body composition estimates in obese men and women. Obesity 2009;17(4):821–826.

Kamel EG, McNeill G, van Wijk MCW. Usefulness of anthropometry and DXA

in predicting intra‐abdominal fat in obese men and women. Obes Res 2000;8(1):36–42.

Glickman SG, Marn CS, Supiano MA, Dengel DR. Validity and reliability of dual-energy X-ray absorptiometry for the assessment of abdominal adiposity. J Appl Physiol 2004;97(2):509–14.

Völgyi E, Tylavsky FA, Lyytikäinen A, Suominen H, Alén M, Cheng S. Assessing body composition with DXA

and bioimpedance: effects of obesity, physical activity, and age. Obesity 2008;16(3):700–5.

Achamrah N, Colange G, Delay J, Rimbert A, Folope V, Petit A, et al. Comparison of body composition assessment by DXA and BIA according

to the body mass index: A retrospective study on 3655 measures. PLoS One 2018;13(7):e0200465.

Yu OK, Rhee YK, Park TS, Cha YS. Comparisons of obesity assessments in over-weight elementary students using

anthropometry, BIA, CT and DEXA. Nutr Res Pract 2010;4(2):128–35.

Aleksandrova K, Mozaffarian D, Pischon T. Addressing the perfect storm:

biomarkers in obesity and pathophysiology of cardiometabolic risk. Clin Chem 2018;64(1):142–53.

Khan M, Khaleel M. Comparative study of serum lipid profile of obese and non-

obese students (male) of Aljouf University. IJBAR 2016;7(1):35–7.

Aljabri K, Bokhari S, Akl A. The relation between overweight, obesity and plasma

lipids in Saudi adults with type 2 diabetes. Journal of Health Specialties 2016;4(2):140.

Saber H, Himali JJ, Beiser AS, Shoamanesh A, Pikula A, Roubenoff R, et al. Serum insulin-like growth factor 1 and the risk of ischemic stroke: the

Framingham study. Stroke 2017;48(7):1760–5.

Racette SB, Weiss EP, Villareal DT, Arif H, Steger-May K, Schechtman KB, et al.

One year of caloric restriction in humans: feasibility and effects on body composition and abdominal adipose tissue. J Gerontol A Biol Sci Med Sci 2006;61(9):943–50.

Nimptsch K, Konigorski S, Pischon T. Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine. Metabolism 2019;92:61–70.

Blüher S, Shah S, Mantzoros CS. Leptin deficiency: clinical implications and opportunities for therapeutic interventions. Journal of Investigative Medicine 2009;57(7):784–8.

López-Campos JL, Arellano E, Calero C, Delgado A, Márquez E, Cejudo P, et al. Determination of inflammatory biomarkers in patients with COPD: a comparison of different assays. BMC Med Res Methodol 2012;12(1):1–9.

Fitri Y, Tann G, Rusdiana R. Estradiol and Leptin in Women with Obesity, Overweight, and Normal Body Weight.

Indonesian Journal of Medicine 2017;2(1):35–40.

Fronczyk A, Molęda P, Safranow K, Piechota W, Majkowska L. Increased concentration of C-reactive protein in obese patients with type 2 diabetes is associated with obesity and presence of diabetes but not with macrovascular and microvascular complications or glycemic control. Inflammation 2014;37(2):349–357.

Downloads

Published

2023-12-25

How to Cite

Khalida Dalimunthe, N. (2023). Alternatif Penilaian Status Gizi Untuk Deteksi Risiko Obesitas: Review. Berkala Ilmiah Mahasiswa Gizi Indonesia, 10(1). Retrieved from https://bimgi.or.id/index.php/bimgi/article/view/12

Citation Check