A REMS Scan-Based Report on Relation Between Body Mass Index and Osteoporosis in Urban Population of Medan at Royal Prima Hospital

Adrian Khu, Michael Sumardi

Abstract


Body Mass Index (BMI) and osteoporosis are two major medical issues in practical life. Body Mass Index is recognized as an index to determine body fat mass while osteoporosis is a condition that decreases bone mass density and disrupts bone architecture, which will eventually affect bone strength and increase the risk of fracture. This study aimed to determine the relationship between BMI and osteoporosis using REMS. This was a cross-sectional study on 300 patients, 21 years of age and above, who underwent Radiofrequency Echographic Multi-Spectrometry (REMS) scan during October 2018 to September 2019 in Royal Prima Hospital, Medan, North Sumatra, Indonesia. Osteoporosis was defined based on densitometer parameters for spine and neck of femur while the BMI categories used were underweight (< 18.5 kg/m2), normal-weight (18.5-22.9 kg/m2), overweight (23-24.9 kg/m2), pre-obese (25-29.9 kg/m2), obese type 1 (BMI 30-40 kg/m2), and obese type 2 (40.1-50 kg/m2). Correlation between osteoporosis and BMI was analyzed using Spearman correlation test. The median BMIs for Spine osteoporosis and Neck of Femur osteoporosis groups were 23.24 and 22.51, respectively. Meanwhile, the central tendency of the bone mass density (gr/cm2) of the spine and neck of femur osteoporosis were 0.70 and 0.53, respectively. There was a significant correlation between BMI and the incidence of the neck of femur (R coefficient = -0.690) and spine (R = -0.390) osteoporosis. Hence, lower BMI increases the potential of the neck of femur and spine osteoporosis.

Laporan Berbasis Pemindaian REMS tentang Hubungan Antara Indeks Massa Tubuh dan Osteoporosis pada Penduduk Kota Medan di Rumah Sakit Royal Prima

Indeks Massa Tubuh (IMT) dan osteoporosis merupakan dua masalah medis utama dalam kehidupan sehari-hari. Indeks Massa Tubuh telah diakui sebagai indeks yang digunakan untuk menentukan massa lemak tubuh sementara osteoporosis merupakan kondisi yang menurunkan kepadatan tulang dan mengganggu arsitektur tulang yang pada akhirnya memengaruhi kekuatan tulang dan meningkatkan risiko fraktur. Penelitian ini bertujuan untuk menentukan hubungan antara BI dan osteoporosis dengan menggunakan Radiofrequency Echographic Multi-Spectrometry (REMS). Penelitian ini merupakan penelitian potong lintang pada 300 pasien berusia 21 tahun ke atas yang menjalani pemindaian REMS selama periode Oktober 2018 sampai September 2019 di RS Royal Prima Medan. Osteoporosis ditentukan berdasarkan parameteri densitometri untuk tulang belakang dan leher femur sementara kategori BMI yang digunakan adalah berat badan (BB) kurang (<18,5 kg/m2), BB normal- (18,5-22,9 kg/m2), BB berlebih (23-24,9 kg/m2), pra-obesitas (25-29.9 kg/m2), obesitas tipe 1 (BMI 30-40 kg/m2), dan obesitas tipe 2 (40.1-50 kg/m2). Korelasi antara osteoporosis dan BMI dianalisis dengan menggunakan uji korelasi Spearman. Median IMT untuk osteoporosis pada tulang belakang dan leher femur adalah, secara berturut-turut, 23,24 dan 22,51. Terdapat perbedaan antara IMT dan insiden osteoporosis leher femur (R=-0,690) dan tulang punggung (R=-0,390). Dengan demikian, IMT yang lebih rendah meningkatkan kemungkinan osteoporosis di leher femur dan tulang belakang.


Keywords


Body Mass Index (BMI); Osteoporosis; Radiofrequency Echographic Multi-Spectrometry (REMS)

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References


Hoxha R, Islami H, Qorraj-Bytyqi H, Thaci S, Bahtiri E. Relationship of Weight and Body Mass Index with Bone Mineral Density in Adult Men from Kosovo. Mater Socio Medica. 2014;26(5):306-308. doi:10.5455/msm.2014.26.306-308

Indonesia Health Ministry. Osteoporosis Management Guidelines. Jakarta: Indonesia Health Ministry; 2008.

Mithal A. The Asian Audit: Epidemiology, Costs and Burden of Osteoporosis in Asia 2009. (Stenmark J, Nauroy L, eds.). New Delhi: International Osteoporosis Foundation; 2009.

US Department of Health and Human Services. Bone health and osteoporosis: a report of the Surgeon General. US Heal Hum Serv. 2004. doi:10.2165/00002018-200932030-00004

Tian L, Yang R, Wei L, et al. Prevalence of osteoporosis and related lifestyle and metabolic factors of postmenopausal women and elderly men. Med (United States). 2017;96(43):1-7. doi:10.1097/MD.0000000000008294

Sozen T, Ozisik L, Calik Basaran N. An overview and management of osteoporosis. Eur J Rheumatol. 2017;4(1):46-56. doi:10.5152/eurjrheum.2016.048

Di Paola M, Gatti D, Viapiana O, et al. Radiofrequency echographic multispectrometry compared with dual X-ray absorptiometry for osteoporosis diagnosis on lumbar spine and femoral neck. Osteoporos Int. 2019;30(2):391-402. doi:10.1007/s00198-018-4686-3

Fawzy T, Muttappallymyalil J, Sreedharan J, et al. Association between Body Mass Index and Bone Mineral Density in Patients Referred for Dual-Energy X-Ray Absorptiometry Scan in Ajman, UAE. J Osteoporos. 2011;2011(876309):1-4. doi:10.4061/2011/876309

Salamat MR, Salamat AH, Abedi I, Janghorbani M. Relationship between weight, body mass index, and bone mineral density in men referred for dual-energy X-ray absorptiometry scan in Isfahan, Iran. Hindawi Publ Corp. 2013;2013(205963):1-7. doi:10.1155/2013/205963

Hendrijantini N, Alie R, Setiawati R, Astuti ER, Wardhana M. The correlation of bone mineral density (BMD), body mass index (BMI) and osteocalcin in postmenopausal women. 2016;8. doi:10.4172/0974-8369.1000319

Limbong EA, Syahrul F. Rasio Risiko Osteoporosis Menurut Indeks Massa Tubuh, Paritas, dan Konsumsi Kafein. J Berk Epidemiol. 2015;3(2):194-204.

Salter RB. Textbook of Disorders and Injuries of the Musculoskeletal System. 3th editio. Baltimore: Wiliam & Wilkins; 1990.

Nguyen T V., Center JR, Eisman JA. Osteoporosis in Elderly Men and Women: Effects of Dietary Calcium, Physical Activity, and Body Mass Index. J Bone Miner Res. 2010;15(2):322-331. doi:10.1359/jbmr.2000.15.2.322

Kanis JA, McCloskey E V., Johansson H, Cooper C, Rizzoli R, Reginster JY. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int. 2013;24(1):23-57. doi:10.1007/s00198-012-2074-y

Conversano F, Franchini R, Greco A, et al. A Novel Ultrasound Methodology for Estimating Spine Mineral Density. Ultrasound Med Biol. 2015;41(1):281-300. doi:10.1016/j.ultrasmedbio.2014.08.017

Namwongprom S, Rojanasthien S, Mangklabruks A, Soontrapa S, Wongboontan C, Ongphiphadhanakul B. Effect of fat mass and lean mass on bone mineral density in postmenopausal and perimenopausal Thai women. Int J Womens Health. 2013;5(1):87-92. doi:10.2147/IJWH.S41884

Gholami M, Ghassembaglou N, Nikbakht H, Eslamian F. The Relationship Between Body Composition and Osteoporois in Postmmenopausal Women. J Food Technol Nutr. 2013;10(4 (40)):55-64.

Ristati Eka Widyanti L, Kusumastuty I, Putri Arfiani E. Hubungan Komposisi Tubuh dengan Kepadatan Tulang Wanita Usia Subur di Kota Bandung. Indones J Hum Nutr. 2017;4(1):23-33. doi:10.21776/ub.ijhn.2017.004.01.3

Kim Y-S, Han J-J, Lee J, Choi HS, Kim JH, Lee T. The correlation between bone mineral density/trabecular bone score and body mass index, height, and weight. Osteoporos sarcopenia. 2017;3(2):98-103. doi:10.1016/j.afos.2017.02.001




DOI: https://doi.org/10.15395/mkb.v52n1.1827

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