ANTHROPOMETRIC MEASUREMENT OF METABOLIC AGE USING NECK CIRCUMFERENCE

Ni Nyoman Sri Yuliani, Elsa Trinovita

Abstract


Excessive fat accumulation in the obese body causes chronic low-grade inflammation. The continuous occurrence will affect health, which may lead to damage to cell metabolism related to metabolic age. Therefore, anthropometric application by measuring neck circumference (NC) and body mass index (BMI) was performed. The aim of this study was to determine NC cut-off which can be used to identify the increase of metabolic age in an individual. This study is a diagnostic study using cross sectional design using subjects who met the criteria needed for this study (n = 82). BMI and NC anthropometric measurements were performed in this study. Metabolic age was measured using Bioelectrical Impedance Analyzer (BIA). Data were analyzed using 2 x 2 diagnostic table and Receiver Operating Characteristic (ROC) curve to obtain Area Under Curve (AUC). The results showed that the highest BMI was obese (65.8%) with the most common age of 30-57 years old. The result of ROC-AUC NC on metabolic age showed that AUC value of NC measurement was 0.77, cut-off ≥ 33 cm, sensitivity 71.2%, and specificity 69.6%. This study concludes that the cut-off value of NC in predicting the increase of metabolic age had good sensitivity and specificity.


Keywords


metabolic age; body mass index; neck circumference

Full Text:

PDF

References


Ang, N. S., & Raboca, J. C. (2011). Neck Circumference as a Screening Measure for Abdominal Obesity and its Association with Metabolic Syndrome among High Risk Filipino Patients in Makati Medical Center. PSEM, 118(87), 1–17.

Aswathappa, J., Garg, S., Kutty, K., & Shankar, V. (2013). Neck Circumference as an Anthropometric Measure of Obesity in Diabetics. North American Journal of Medical Sciences, 5(1), 28–31. https://doi.org/10.4103/1947-2714.106188

Aswathappa, J., Garg, S., Kutty, K., & Shankar, V. (2014). Utility of neck circumference, a simple and novel measure as anthropometric marker of obesity in adult. World Journal of Pharmacy and Pharmaceutical Sciences, 3(3), 1618–1629.

Ellulu, M. S., Patimah, I., Khaza’ai, H., Rahmat, A., & Abed, Y. (2017). Obesity & inflammation: The linking mechanism & the complications. Archives of Medical Science, 13(4), 851–863. https://doi.org/10.5114/aoms.2016.58928

Garcia-Rubira, J. C., Cano-Garcia, F. J., Bullon, B., Seoane, T., Villar, P. V., Cordero, M. D., & Bullon, P. (2018). Body fat and metabolic age as indicators of inflammation and cardiovascular risk. European Journal of Preventive Cardiology, 25(3), 233–234. https://doi.org/10.1177/2047487317744051

Hingorjo, M. R., Qureshi, M. a, & Mehdi, A. (2012). Neck circumference as a useful marker of obesity: a comparison with body mass index and waist circumference. JPMA, 62(1), 36–40.

Huang, B., Zhu, M., Wu, T., Zhou, J., Liu, Y., & Chen, X. (2015). Neck Circumference , along with Other Anthropometric Indices , Has an Independent and Additional Contribution in Predicting Fatty Liver Disease. Plos ONE, 10(2), 1–12. https://doi.org/10.1371/journal.pone.0118071

Joshipura, K., Muñoz-torres, F., Vergara, J., Palacios, C., & Pérez, C. M. (2016). Neck Circumference May Be a Better Alternative to Standard Anthropometric Measures. Journal of Diabetes Research, 2016, 1–8. https://doi.org/10.1155/2016/6058916

Jung, U. J., & Choi, M.-S. (2014). Obesity and its metabolic complications: the role of adipokines and the relationship between obesity, inflammation, insulin resistance, dyslipidemia and nonalcoholic fatty liver disease. International Journal of Molecular Sciences, 15(4), 6184–6223. https://doi.org/10.3390/ijms15046184

Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017). Biological Age Predictors. EBioMedicine, 21, 29–36. https://doi.org/10.1016/j.ebiom.2017.03.046

Kementerian Kesehatan Republik Indonesia. (2018). Laporan Nasional RISKESDAS 2018 Provinsi Kalimantan Tengah. Jakarta.

Lee, H., Lee, I. S., & Choue, R. (2013). Obesity, Inflammation and Diet. Pediatric Gastroenterology, Hepatology & Nutrition, 16(3), 143. https://doi.org/10.5223/pghn.2013.16.3.143

Lindarto, D., Shierly, & Syafril, S. (2016). Neck circumference in overweight/obese subjects who visited the Binjai Supermall in Indonesia. Macedonian Journal of Medical Sciences, 4(3), 319–323. https://doi.org/10.3889/oamjms.2016.072

Majzoub, A., Talib, R., Canguven, O., Elbardisi, H., Arafa, M., Khalafalla, K., & Alsaid, S. S. (2017). Metabolic age versus chronologic age effect on the gonadal state. Fertility and Sterility, 108, e46–e47. https://doi.org/10.1016/j.fertnstert.2017.07.152

Nuttall, F. Q. (2015). Obesity, BMI and Health: A Critical Review. Nutrition Research, 50(3), 117–128. https://doi.org/10.1097/NT.0000000000000092

Riskesdas. (2018). Hasil Utama Riset Kesehatan Dasar 2018. Kementrian Kesehatan Republik Indonesia, 1–100. https://doi.org/1 Desember 2013

Sarnali, T. T., & Moyenuddin, P. (2010). Obesity and Disease Association : A Review. AKMMC J, 1(2), 21–24.

Schrack, J. A., Knuth, N. D., Simonsick, E. M., & Ferrucci, L. (2014). “IDEAL” Aging is Associated with Lower Resting Metabolic Rate: The Baltimore Longitudinal Study of Aging. J Am Geriartr Soc, 62(4), 667–672. https://doi.org/10.1111/jgs.12740.

Vucenik, I., & Stains, J. P. (2012). Obesity and cancer risk: Evidence, mechanisms, and recommendations. Annals of the New York Academy of Sciences, 1271(1), 37–43. https://doi.org/10.1111/j.1749-6632.2012.06750.x

Yang, G., Yuan, S., Fu, H., Wan, G., Zhu, L., & Zhang, J. (2010). Neck Circumference Positively Related with Central Obesity, Overweight, and Metabolic Syndrome in Chinese Subjects With Type 2 Diabetes : Beijing Community Diabetes Study 4. Diabetes Care Journals, 33(11), 2469–3. https://doi.org/10.2337/dc10-0798.

Yuliani, N. N. S., Subagio, H. W., & Murbawani, E. (2017). Korelasi Lingkar Leher Dengan Persentase Lemak Tubuh Pada Obesitas. Journal of Nutrition and Health, 5(3), 138–145.

Zhou, J., Ge, H., Zhu, M., Wang, L., Chen, L., Tan, Y., Chen, Y., Zhu, H. (2013). Neck circumference as an independent predictive contributor to cardio-metabolic syndrome. Cardiovascular Diabetology, 12(1), 76. https://doi.org/10.1186/1475-2840-12-76




DOI: https://doi.org/10.31983/jrk.v9i1.5400

Article Metrics

Abstract view : 733
Download PDF : 413

Refbacks

  • There are currently no refbacks.




Copyright (c) 2020 Jurnal Riset Kesehatan

INDEXING

Logo Google Schoolar
Logo Sinta
Logo DOAJ
Logo Crossref
Logo Garuda
Logo Dimensions
RECOMMENDED TOOLS
Turnitin Logo
EndNote Logo
Mendeley Logo
Keep in touch with us!
Get notified
Logo Poltekkes Semarang Logo JRK
JURNAL
RISET
KESEHATAN

Mailing Address:

Jalan Tirto Agung, Pedalangan, Kec. Banyumanik, Kota Semarang, Jawa Tengah - 50268, Indonesia

Commitment to quality

Double-blind peer review. Immediate open access. Authors retain copyright. No author fees. Published biannually.

 
CC Brands CC BY Brands CC SA Brands

Journal Riset Kesehatan (JRK), its website, and the articles published therein are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

WGA