DOI: https://doi.org/10.14710/jgi.7.1.30-36

Lingkar lengan atas dan panjang ulna sebagai parameter antropometri untuk memperkirakan berat badan dan tinggi badan orang dewasa

Program Studi Gizi, Fakultas Ilmu Kesehatan, Universitas Ngudi Waluyo, Indonesia

Received: 16 Sep 2018; Published: 30 Dec 2018.

Citation Format:
Abstract

Background: Weight (Wt) and height (Ht) can be estimated by using mid-upper arm circumference (MUAC) and ulna length (UL). The formula for estimating Wt and Ht that has been formulated is mostly using subjects not Asian especially Indonesian.
Objectives : derived linear regression equations to estimate Wt and Ht from MUAC and UL for Indonesian adults
Methods : The study design was cross sectional study. Population of this study was student of Health Science and Nursing Faculty Ngudi Waluyo University. The sample consisted of 303 students 19-29 years old. Research instruments were digital weight scale, microtoise, and metline. Correlation was tested using Pearson analysis. Linear regression equations was derived from linear regression analysis.
Results: Wt estimation was significantly correlated with Wt (r=0.917, p<0.0001). Ht estimation was significantly correlated with Ht (r= 0.812, p<0.0001). Estimation Wt = 2.863 MUAC (cm) – 4.019 sex -14.533 (R2=0.84, SEE=4.90). Estimation Ht = 2.525 UL (cm) – 5.828 sex + 99.384 (R2=0.66, SEE=3.92). Male=0, female = 1.
Conclusion: The regression equations can be used as alternative to estimate Wt and Ht from MUAC and UL for Indonesian adults.

Fulltext View|Download
Keywords: weight; height; MUAC; ulna length
Funding: Universitas Ngudi Waluyo; DRPM Kemenristekdikti

Article Metrics:

Article Info
Section: Articles
Language : EN
Recent articles
Keragaman pangan, pola asuh makan dan kejadian stunting pada balita usia 24-59 bulan Aktivitas fisik, stress, dan asupan makanan terhadap tekanan darah pada wanita prediabetes Lingkar lengan atas dan panjang ulna sebagai parameter antropometri untuk memperkirakan berat badan dan tinggi badan orang dewasa More recent articles
Most cited articles
Front-Matter Pengaruh pemberian asi eksklusif dan non eksklusif terhadap mental emosional anak usia 3-4 tahun Kadar seng dan kadar malondialdehyde pada penderita multi drug resistant tuberculosis dan tuberkulosis sensitif Front Matter Pengaruh pemberian jus mangga terhadap profil lipid dan malondialdehyde pada tikus yang diberi minyak jelantah More cited articles
  1. Susetyowati. Penerapan Skrining Gizi di Rumah Sakit. Gajahmada University Press: Yogyakarta, 2014
  2. Lee RD, Nieman DC. Nutritional assessment. McGraw-Hill, 2013
  3. Pocock SJ, McMurray JJ, Dobson J, Yusuf S, Granger CB, Michelson EL et al. Weight loss and mortality risk in patients with chronic heart failure in the candesartan in heart failure: Assessment of reduction in mortality and morbidity (CHARM) programme. Eur Heart J 2008; 29: 2641–2650
  4. Sharma A, Lavie CJ, Borer JS, Vallakati A, Goel S, Lopez-Jimenez F et al. Meta-analysis of the relation of body mass index to all-cause and cardiovascular mortality and hospitalization in patients with chronic heart failure. Am J Cardiol 2015; 115: 1428–1434
  5. Cattermole GN, Graham CA, Rainer TH. Mid-arm circumference can be used to estimate weight of adult and adolescent patients. Emerg Med J. 2017; 34(4):231-6
  6. Fernandez MAL, Delchevalerie P, van Herp M. Accuracy of MUAC in the Detection of Severe Wasting With the New WHO Growth Standards. Pediatrics 2010; 126: e195–e201
  7. Binns P, Dale N, Hoq M, Banda C, Myatt M. Relationship between mid upper arm circumference and weight changes in children aged 6-59 months. Arch Public Heal 2015; 73: 1–10
  8. Madden AM, Tsikoura T, Stott DJ. The estimation of body height from ulna length in healthy adults from different ethnic groups. J Hum Nutr Diet 2012; 25: 121–128
  9. Borhani-Haghighi M, Navid S, Hassanzadeh G. Height prediction from ulnar length in Chabahar: A city in South-East of Iran. Rom J Leg Med 2016; 24: 304–307
  10. Elia M. The MUST Report. Nutritional Screening of Adults: A Multidisciplinary Responsibility. Development and Use of the Malnutrition Universal Screening Tool (MUST) for Adults. Malnutrition Advisory Group (MAG), a Standing Committee of the British Association of Parenteral and Enteral Nutrition: Redditch, 2003
  11. Heitmann BL, Swinburn BA, Carmichael H, Rowley K, Plank L, Mcdermott R et al. Are there ethnic differences in the association between body weight and resistance, measured by bioelectrical impedance? https://www.nature.com/articles/0800477.pdf?origin=ppub (accessed 16 Nov2018)
  12. Bujang M, Sa’at N, Ikhwan M, Sidik A. Determination of Minimum Sample Size Requirement for Multiple Linear Regression and Analysis of Covariance Based on Experimental and Non-experimental Studies. Epidemiol Biostat Public Heal 2017; 14. doi: 10.2427/12117
  13. Philip J, Zacharia I, Paul S, Bhatt A. Estimating height and weight in old-age from other anthropometric measurements - a community based cross-sectional study from central Kerala. Int J Med Sci Public Heal 2017; 6: 1
  14. Chakraborty R, Bose K, Koziel S. Use of mid-upper arm circumference in determining undernutrition and illness in rural adult Oraon men of Gumla District, Jharkhand, India. Rural Remote Health 2011; 11: 1–12
  15. Jung MY, Chan MS, Chow VS, Chan YT, Leung PF, Leung EM et al. Estimating geriatric patient’s body weight using the knee height caliper and mid-arm circumference in Hong Kong Chinese. Asia Pac J Clin Nutr. 2004;13(3): 261–4
  16. Powell TJ, Hennessy EM. A comparison of mid upper arm circumference, body mass index and weight loss as indices of undernutrition in acutely hospitalized patients. Clin Nutr 2003; 22: 307–312
  17. Rohin MAK, Rozano N, Hadi NA, Nor MNM, Abdullah S, Venkateshaiah MD. Anthropometry and body composition status during ramadan among higher institution learning centre staffs with different body weight status. Sci World J 2013; 2013. doi: 10.1155/2013/308041
  18. Anitha MR, Chaitra BR, Rajitha V, Bharathi D. Estimation of Stature Using Ulnar Length in Living Adult Individuals in South Indian Population. Int J Anat Res 2016; 4(1): 2139–41
  19. Agnihotri AK, Kachhwaha S, Jowaheer V, Singh AP. Estimating stature from percutaneous length of tibia and ulna in Indo-Mauritian population. Forensic Sci Int 2009; 187: 4–6
  20. Lorini C, Ph D, Collini F, Castagnoli M, Di M, Bari MD et al. Using alternative or direct anthropometric measurements to assess risk for malnutrition in nursing homes. Nutrition 2014; 30: 1171–1176
  21. Barbosa VM, Stratton RJ, Lafuente E, Elia M. Ulna length to predict height in English and Portuguese patient populations. Eur J Clin Nutr 2012; 66: 209–215
  22. Nightingale CM, Rudnicka AR, Owen CG, Cook DG, Whincup PH. Patterns of body size and adiposity among UK children of South Asian, black African-Caribbean and white European origin: Child Heart And health Study in England (CHASE Study). Int J Epidemiol 2011; 40: 33–44
  23. Heymsfield SB, Peterson CM, Thomas DM, Heo M, Schuna JM, Jr. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review. Obes Rev 2016; 17: 262–75

Last update:

  1. Pelaksanaan Proses Asuhan Gizi Terstandar, Pemberian Diet Tinggi Kalori dan Tinggi Protein terhadap pasien pasca bedah Intususepsi Ileocolic, Post Hemikolektomi Kanan, dan Reseksi Ileum End-to-End Anastomosis : Sebuah Laporan Kasus.

    Aprilia Durotun Nasikhah, Qonita Rachmah, Endah Sarworini. Media Gizi Kesmas, 10 (1), 2021. doi: 10.20473/mgk.v10i1.2021.80-88

  2. Proses Asuhan Gizi Terstandar pada Pasien Diabetes Mellitus Tipe 2 dengan Hipertensi: Diet Rendah Karbohidrat, Gula, dan Garam

    Erwanda Anugrah Permatasari, Qonita Rachmah, Avilla Arsa. Media Gizi Kesmas, 11 (2), 2022. doi: 10.20473/mgk.v11i2.2022.426-436

  3. Development of Muscle Strength Scale Monitoring System for Stroke Patients Using Sensor AD8619-Based Surface Electromyography

    I Wayan Widhiada, Tjokorda Gde Tirta Nindhia, Made Adi Guna Dharma, I Dewa Gede Agung Eka Putra, Divyananda Japara, Kadek Yuma Kusuma Dewi, Anak Agung Gede Cahya Wedanta, I Komang Arimbawa. Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024. doi: 10.1145/3669754.3669778

Last update: 2024-11-21 16:39:21

No citation recorded.