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"Latar Belakang: Sarkopenia merupakan salah satu sindrom geriatri yang dapat menyebabkan luaran yang buruk. Dibutuhkan pemeriksaan yang lebih sederhana dibandingkan Bioelectrical Impedance Analysis (BIA) atau Dual energy X- ray Absorptiometry (DXA) untuk mengukur massa otot sebagai komponen penting sarkopenia. Namun, belum ada studi di Indonesia yang meneliti perannya dalam memprediksi massa otot pada pasien usia 60 tahun atau lebih. Tujuan: Mengetahui performa diagnostik lingkar betis untuk estimasi massa otot sebagai komponen sarkopenia pada pasien usia 60 tahun atau lebih. Metode: Penelitian ini merupakan suatu uji diagnostik menggunakan desain uji potong lintang yang dilakukan di poliklinik geriatri Departemen Ilmu Penyakit Dalam FKUI-RSCM selama bulan April-Juni 2018. Pengukuran massa otot menggunakan DXA dan penentuan titik potong berdasarkan Asian Working Group of Sarcopenia (AWGS). Hasil: Dari 120 subjek didapatkan 46 lelaki (38,3%) dan 74 perempuan (61,7%). Didapatkan titik potong lingkar betis kelompok lelaki dibawah 34 cm (sensitivitas 64.7%, spesifitas 79.3%, NDP 64.7%, NDN 79.3%, AUC 73.1%) dan 29 cm untuk perempuan (sensitivitas 71.4%, spesifitas 95.5%, NDP 62.5%, NDN 97.0%, AUC 96.4%). Simpulan: Akurasi diagnostik lingkar betis cukup baik sebagai prediktor massa otot pada pasien perempuan usia 60 tahun atau lebih.

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Background: Sarcopenia is one of the geriatric syndromes that lead to poor outcomes. A simpler method than Bioelectrical Impedance Analysis (BIA) or Dual energy X- ray Absorptiometry (DXA) is needed to measure muscle mass as essential component of sarcopenia. Previous studies have shown calf circumference (CC) as surrogate marker of muscle mass. However there has been no study on the role of CC in predicting muscle mass in both gender of elderly outpatient. Objectives: To investigate the diagnostic performance of CC to estimate muscle mass in elderly outpatient. Methods: A cross sectional study was conducted at Geriatric Outpatient Clinic of Cipto Mangunkusumo Hospital Jakarta during April-June 2018, using DXA as a reference test for measuring muscle mass. Asian Working Group of Sarcopenia (AWGS) criteria was used to classify muscle mass as normal or low. Results: Of the 120 subjects, 46 subjects were male (38.3%) and 74 were female (61.7%).The optimal Cut-off for CC that indicate low muscle mass was 34 cm for (sensitivity 64.7%, specificity 79.3%, PPV 64.7%, NPV 79.3%, AUC 73.1%) and 29 cm for female (sensitivity 71.4%, specificity 95.5%, PPV 62.5%, NPV 97.0%, AUC 96.4%). Conclusion: CC can be used to estimate muscle mass in female elderly outpatient, with good diagnostic performance."

"Latar Belakang: Sarkopenia mempengaruhi prognosis karsinoma sel hati (KSH). Dalam penilaian klasifikasi Barcelona Clinic Liver Cancer (BCLC) terkandung penilaian status performa Eastern Cooperative Oncology Group (ECOG). Status performa ECOG merupakan penilaian aktivitas fisik terkait sarkopenia. Pemeriksaan baku emas sarkopenia pada KSH mahal dan membutuhkan banyak waktu. Pemeriksaan tebal otot paha dapat digunakan sebagai modalitas yang baru. Studi ini bertujuan untuk menilai hubungan antara status performa ECOG dengan sarkopenia pada KSH, mengetahui perbedaan rerata antara tebal otot paha pasien status performa ECOG rendah dengan status performa ECOG tinggi pada KSH, dan mengetahui perbedaan rerata antara tebal otot paha pasien sarkopenia dengan non sarkopenia pada KSH.Metode: Studi ini dilakukan di RS tersier selama Januari – Oktober 2021. Analisis statistik dilakukan untuk memperoleh hubungan antara status performa ECOG, tebal otot paha, dan status sarkopenik pasien KSH.Hasil: Delapan puluh lima subjek pasien KSH (usia median, 52 tahun) dilakukan analisis. Sarkopenia diamati pada 30,6% pasien KSH. Setelah melalui analisis multivariat, status performa ECOG buruk berhubungan dengan sarkopenia pada KSH (adjusted OR = 6,35, IK 95% 2,06-19,60). Terdapat perbedaan signifikan rerata tebal otot paha pasien status performa ECOG rendah dengan status performa ECOG tinggi pada KSH (p < 0,001). Terdapat juga perbedaan signifikan rerata tebal otot paha pasien sarkopenia dan non sarkopenia (p < 0,001).Kesimpulan: Terdapat hubungan antara status performa ECOG tinggi dengan sarkopenia pada KSH (aOR = 6,35, IK 95% 2,06-19,60). Rerata tebal otot paha pasien status performa ECOG rendah lebih besar dibanding dengan status performa ECOG tinggi pada karsinoma sel hati. Rerata tebal otot paha pasien non sarkopenia lebih besar dibanding dengan sarkopenia pada karsinoma sel hati.

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Background: Sarcopenia affects hepatocellular carcinoma (HCC) prognosis. HCC staging consists of Eastern Cooperative Oncology Group performance status (ECOG-PS). ECOG-PS is an assessment of physical activity related to sarcopenia. Gold standard examinations for sarcopenia in HCC are expensive and time-consuming. Thigh muscle thickness can be used as a new modality. This study was aimed to explore the association between ECOG-PS with sarcopenia, to seek thigh muscle thickness difference between poor and good performance status, and to know thigh muscle thickness difference between sarcopenic and non-sarcopenic patients with HCC.

Methods: The study was conducted in a tertiary hospital during January – October 2021. Statistical analysis was performed to obtain an association between ECOG-PS, thigh muscle thickness, and sarcopenic status of HCC patients.

Results: Eighty-five HCC patients (median age, 52 years) were analyzed. Sarcopenia was observed in 30,6% of HCC patients. On multivariate binary regression analysis, a poor ECOG-PS remained independently associated with sarcopenia in HCC (adjusted OR = 6,35, 95% CI 2,06-19,6, p < 0,001). There was a significant difference in thigh muscle thickness between good and poor performance status (p < 0,001). There was also a significant difference in thigh muscle thickness between sarcopenic and non-sarcopenic patients (p < 0,001).

Conclusion: There were association between ECOG-PS and sarcopenia in HCC (aOR = 6,35, IK 95% 2,06-19,60). Mean thigh muscle thickness was larger in HCC patients with good ECOG-PS than poor ECOG-PS. Mean thigh muscle thickness was larger in non-sarcopenic HCC patients than sarcopenic ones."

"Sarkopenia menyebabkan luaran buruk pada populasi hemodialisis reguler. Panduan diagnosis dan cara pengukuran yang berbeda menyebabkan rentang prevalensi yang besar. Faktor yang berperan terhadap sarkopenia pada hemodialisis reguler belum diketahui. Tujuan: Mengetahui prevalensi dan hubungan fosfat dengan sarkopenia pada hemodialisis reguler. Metode: Studi potong lintang observasional pada 96 pasien hemodialisis reguler, usia ≥18 tahun, lama hemodialisis ≥120 hari di RSCM (Maret-Mei 2022).Uji deskriptif, analisis bivariat, dan regresi logistik mendapatkan prevalensi dan hubungan antara Simplify Creatinine Index, DM type 2, IL-6, status gizi, aktivitas fisik, dan fosfat dengan sarkopenia. Diagnosis sarkopenia menggunakan kriteria AWGS 2019. Hand Grip Strength untuk kekuatan otot, massa otot dengan Bioimpedance Spectroscopy dan performa fisik dengan uji berjalan 6 meter. Hasil: Prevalensi sarkopenia adalah 54,2% dan rerata kadar fosfat 4,08 mg/dL (SB 1,45 mg/dL). Beda rerata kadar fosfat kelompok sarkopenia dengan kelompok tanpa sarkopenia adalah 3,73mg/dL vs 4,5 mg/dL, p=0,008. Faktor lain yang berhubungan dengan sarkopenia adalah SCI (p=0,005), dan aktivitas fisik ringan (p=0,006). Fosfat tidak berhubungan bermakna setelah menambahkan perancu. Kesimpulan: Prevalensi sarkopenia dengan kriteria AWGS 2019 pada populasi hemodialisis reguler adalah 54,2%. Kelompok sarkopenia memiliki rerata fosfat lebih rendah dibandingkan dengan kelompok tanpa sarkopenia, hubungan menjadi tidak bermakna setelah menambahkan variabel perancu.

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Sarcopenia asscociated with worse outcomes in MHD patients. Difference in criteria and methods used to diagnose causing wide range of prevalence. Factors asscociated with sarcopenia in MHD have not been well studied. Objective: to investigate the prevalence and asscociation between phosphate and sarcopenia in MHD. Methods: Observational cross-sectional study in 96 MHD patients ≥18 years old, dialysis vintage ≥120 days in RSCM March-May 2022. Descriptive, bivariate, and logistic regression used to find prevalence and asccociation with Simplify Creatinine Index, type 2 DM, IL-6, nutritional status, physical activity, and phosphate. AWGS 2019 criteria used to diagnose sarcopenia, Hand Grip Strength for muscle strength, Bioimpedance Spectroscopy for muscle mass, and 6-meter walk for physical performance. Results: Sarcopenia prevalence was 54.2% and mean phosphate was 4,08 mg/dL (SD 1,45 mg/dL). Mean difference of phosphate in sarcopenia group compared to non-sarcopenia group is 3,73mg/dL vs 4,5 mg/dL, p=0,008. Factors with significant association were SCI (p=0.005) and low physical activity (p-0.006). Phosphate no longer asscociate significantly with sarcopenia after adjustement. Conclusions: Sarcopenia prevalence in MHD population with AWGS 2019 criteria was 54.2%. Sarcopenia group has significant lower mean phosphate compared to non-sarcopenia group, but the asscociation no longer significant after adjustment with confounding variables."

"Latar Belakang: Sarkopenia dan obesitas sering ditemukan pada populasi lanjut usia (lansia). Kombinasi sarkopenia dan obesitas, yaitu obesitas sarkopenia, memiliki morbiditas dan mortalitas lebih tinggi dibandingkan salah satu entitas saja. Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan antara obesitas perifer dan sentral dengan komponen sarkopenia. Metode: Studi potong-lintang ini memakai data sekunder dari penelitian validasi skor Sarcopenia Quality of Life (SARQoL) terhadap lansia ≥60 tahun di Poliklinik Geriatri Rumah Sakit Cipto Mangunkusumo, Jakarta, Indonesia, periode April–Juni 2018. Analisis multivariat dilakukan terhadap obesitas (indeks massa tubuh [IMT] dan lingkar pinggang [LP]) dan komponen sarkopenia (kekuatan genggam tangan [KGT], indeks massa otot [appendicular skeletal muscle mass per tinggi badan kuadrat, ASMM/TB2], dan kecepatan berjalan) untuk disesuaikan dengan perancu (usia, diabetes melitus, dan aktivitas fisik). Nilai potong diagnostik masing-masing komponen sarkopenia memakai panduan the Asian Working Group on Sarcopenia (AWGS) 2019. Hasil: Rerata usia dari 120 subjek adalah 71,89 (6,11) tahun, dengan proporsi wanita 61,70%. Seluruh subjek menunjukkan rerata IMT 22,48 (4,60) kg/m2; median LP 91,48 (65,40-113,00) cm; rerata ASMM/TB2 6,88 (0,96) kg/m2; median KGT 20 (10,00-40,00) kg; dan rerata kecepatan berjalan 0,76 (0,23) meter/detik. KGT rendah ditemukan lebih sedikit pada kelompok obesitas perifer dibandingkan nonobesitas perifer (adjusted odds ratio OR 0,419; interval kepercayaan IK 95% 0,183-0,959; p=0,040). ASMM/TB2 rendah lebih sedikit pada kelompok obesitas sentral dibandingkan nonobesitas sentral (adjusted OR 0,087; IK 95% 0,029-0,262; p <0,001). Simpulan: Terdapat efek protektif obesitas perifer dan sentral terhadap sarkopenia, tetapi hubungan ini terbatas pada IMT <30 kg/m2.

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Background: Increasing number of elderly is accompanied by increasing prevalence of sarcopenia and obesity. Combination of sarcopenia and obesity, which is called as sarcopenic obesity, associated with higher morbidity and mortality compared to either obesity or sarcopenia alone. Objectives: This study aimed to determine the association between obesity profiles and sarcopenia components.

Methods: This cross-sectional study was using data from the validation study of Sarcopenia Quality of Life (SARQoL) score, of which conducted in geriatric outpatient clinic of Cipto Mangunkusumo Hospital, Jakarta, Indonesia. Multivariate analysis between obesity (body mass index [BMI] and waist circumference [WC]) and sarcopenia components (handgrip strength [HGS], muscle mass index [appendicular skeletal muscle mass/ height square, ASMM/h2], and gait speed was adjusted to age, diabetes mellitus, and physical activities.

Results: Out of 120 subjects, there was 61.70% women. All subjects had mean of age 71.89 (6.11) years old; mean of BMI 22.48 (4.60) kg/m2; median of WC 91.48 (65.40-113.00) cm; mean of ASMM/h2 6.88 (0.96) kg/m2; median of HGS 20 (10.00-40.00) kg; and mean of gait speed 0.76 (0.23) meter/second. Low HGS was found statistically significant in lower proportion for peripheral obesity group than non-peripheral obesity group (adjusted odds ratio OR 0.419, 95% confidence interval CI 0.183-0.959, p=0.040); and low muscle mass index was lower in central obesity group than non-central obesity group (adjusted OR 0.087, 95% CI 0.029-0.262, p <0.001).

Conclusion: There were protective effects of peripheral and central obesity against sarcopenia"

"Latar belakang: Peningkatan usia lanjut menimbulkan dampak kesehatan, diantaranya adalah sarkopenia dan kerapuhan. Kekuatan genggam tangan merupakan komponensarkopenia, fenotip sindrom kerapuhan, dan bersifat dinamis. Berbagai studi potonglintang menilai hubungan kekuataan genggam tangan dengan usia, jenis kelamin, statusnutrisi, status fungsional, status mental, dan komorbiditas namun temuan masihberagam. Selain itu, belum ada studi longitudinal untuk mengetahui hubunganperubahan kekuatan genggam tangan dengan usia, jenis kelamin, status nutrisi, statusfungsional, status mental dan komorbiditas di Indonesia.Tujuan: Mengetahui hubungan antara usia, jenis kelamin, status nutrisi, statusfungsional, status mental dan komorbiditas dengan perubahan kekuatan genggamtangan pada pasien usia lanjut.Metode: Penelitian kohort prospektif menggunakan data sekunder pasien usia lanjutyang kontrol rutin di Poliklinik Geriatri RSCM Jakarta dari register studi longitudinalINA-FRAGILE yang telah diobservasi selama 1 tahun (2013-2014). Uji analisismultivariat regresi logistik digunakan untuk menilai hubungan antara usia, jeniskelamin, status nutrisi (skor MNA), status fungsional (skor ADL), status mental (skorGDS-SF), indeks komorbiditas (skor CIRS) dengan perubahan kekuatan genggamtangan.Hasil: Dalam 1 tahun pengamatan dari 162 subjek, didapatkan rerata usia 72,9 (SB 5,9)tahun, jenis kelamin terbanyak perempuan (57,41%), memiliki nutrisi baik (83,9%),mandiri (median ADL 9–20), tidak depresi (median GDS-SF 0–11), rerata indekskomorbiditas 11,8 (SB 3,7), dan 53,1% mengalami penurunan kekuatan genggamtangan. Status nutrisi (OR=2,7; p=0,033) dan indeks komorbiditas (OR 0,3; p<0,002)berhubungan dengan kekuatan genggam tangan.Simpulan: Status nutrisi dan komorbiditas memengaruhi perubahan kekuatan genggamtangan pada pasien usia lanjut dalam 1 tahun di rawat jalan.

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Background: Increasing elderly population throughout the world has been related to

increased prevalence of sarcopenia and frailty. Handgrip strength is a component of

sarcopenia, one of frailty syndrome phenotypes, and a dynamic process. Previous

cross-sectional studies have assessed association of age, sex, nutritional status,

functional status, mental status and comorbodity but the results were varied. That being

said, there was no longitudinal study has been done to determine the correlation of

handgrip strength changes with age, sex, nutritional status, functional status, mental

status, and comorbidity in Indonesia.

Objective: To examine correlation between age, sex, nutritional status, functional

status, depressive symptopms, comorbidity, and handgrip strength changes in elderly

patients.

Methods: A prospective cohort study using secondary data of elderly patients whom

routinely visiting Geriatric Out-Patients Clinic at Cipto Mangunkusumo Hospital,

Jakarta from INA-FRAGILE register that have been observed for 1 year (2013-2014).

The multivariate logistic regression analysis was used to assess correlation between

sex, age, nutrional status (MNA score), functional status (ADL score), depressive

symptoms (GDS-SF score), comorbidities (CIRS score) and handgrip strength changes.

Results: From 162 subjects which were included in the study, the mean age was 72.9

(SB 5.9) years, predominantly female (57.41%), with good nutrition (83.9%),

independent (median 9- 20), not depressed (median 0-11), has average comorbidity

index 11.8 (SB 3.7), and 53.1% experienced decreased handgrip strength. Nutritional

status (OR = 2.7, p = 0.033) and comorbidity index (OR 0.3, p <0.002) correlated with

handgrip strength changes.

Conclusion: Nutritional status and comorbidity correlates with handgrip strength

changes in out-patients elderly within 1 year."

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Penurunan massa otot pada usia lanjut menimbulkan sarkopenia,salah satu penyebabnya adalah proses inflamasi. Rasio asam lemak omega-3/omega-6 dapat memengaruhi proses inflamasi, namun hubungannya dengan massa otot masih menunjukkan hasil yang beragam. Penelitian potong lintang ini bertujuan untuk mengeksplorasi korelasi rasio asupan asam lemak omega-3/omega-6 dan kadar asam lemak omega-3 dengan massa otot pada usia lanjut di lima panti wreda yang terdaftar di Kota Tangerang Selatan. Penelitian ini melibatkan 101 usila yang didapatkan menggunakan proportional random sampling. Rasio asupan asam lemak omega-3 dan omega-6 dinilai menggunakan food record 3x24 jam dan food frequency questionnaire semikuantitatif, kadar asam lemak omega-3 membran eritrosit diukur menggunakan gas chromatography-mass spectrometry, dan pemeriksaan massa otot menggunakan bioelectrical impedance analysis. Analisis korelasi menggunakan uji Spearman. Didapatkan rerata usia subjek adalah 75.5 ± 7.6 tahun dengan 73.3% subjek adalah perempuan. Rasio asupan asam lemak omega-3/omega-6 subjek menggunakan food record adalah 0,09 (0,05-0,22) dan 0,08 (0,05-0,23) menggunakan FFQ semikuantitatif. Nilai tengah kadar asam lemak omega-3 membran eritrosit subjek untuk ALA=10,06 (4,9-24,9) µg/mL, EPA=14,6 (5,06-81,02) µg/mL, DHA=115,5 (20,6-275,09) µg/mL, dan total omega-3=144,1 (89,3-332,1) µg/mL. Nilai tengah massa otot subjek adalah 35,5 (22,8-63,5) kg. Hasil penelitian ini menunjukkan tidak terdapat korelasi antara rasio asupan asam lemak omega-3/omega-6 dengan massa otot baik menggunakan food record (r = -0.2, p = 0.07), maupun FFQ semikuantitatif (r = 0.01, p = 0.9), dan tidak terdapat korelasi antara kadar ALA, EPA, DHA, total asam lemak omega-3 membran eritrosit dengan massa otot berturut-turut (r = -0.03, p = 0.8; r = 0.01, p = 0.9; r = -0.06, p = 0.5; dan r = -0.02, p = 0.8).

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The phenomenon of muscle mass deterioration appeared in the elderly called sarcopenia, one of the reasons was the inflammatory process. The ratio of omega-3 and omega-6 fatty acids are known to influence the inflammatory process. However, the relationship of this ratio with muscle mass are still conflicting. This cross-sectional study aimed to explore the correlations of omega-3/omega-6 fatty acids intake ratio and omega-3 fatty acids erythrocyte membrane levels with muscle mass among the elderly in five registered nursing homes in South Tangerang City. This study involved 101 elderly from the proportional random sampling method. The ratio of omega-3 and omega-6 fatty acids intake was assessed using 3-days food records and semi-quantitative food frequency questionnaire (SQ-FFQ). Moreover, omega-3 fatty acid erythrocyte membrane levels were measured using gas chromatography-mass spectrometry and muscle mass were examined using bioelectrical impedance analysis. We used Spearman analysis to investigate the correlation. The mean age of the participants was 75.5 ± 7.6 years and most of the participants were female (73.3%). Furthermore, the median value of omega-3 and omega-6 fatty acid intake ratio was 0.09 (0.05 – 0.22) using 3-days food records and 0.08 (0.05 – 0.23) using SQ-FFQ, the median value of omega-3 erythrocyte membrane levels for ALA = 10.06 (4.9-24.9) µg/mL, EPA = 14.6 (5.06 – 81.02) µg/mL, DHA = 115.5 (20.6 – 275.09) µg/mL, total omega-3 = 144.1 (89.3 – 332.1) µg/mL, and the median value of muscle mass were 35.5 (22.8 – 63.5) kg. We did not find strong correlation between omega-3/omega-6 fatty acids intake ratio and muscle mass using either 3-days food records (r = -0.2, p = 0.07), or SQ-FFQ (r = 0.01, p = 0.9), and no strong correlations found between ALA, EPA, DHA, total omega-3 fatty acids erythrocyte membrane levels and muscle mass (r = -0.03, p = 0.8; r = 0.01, p = 0.9; r = -0.06, p = 0.5; and r = -0.02, p = 0.8), respectively.

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"ABSTRACTBackground: sarcopenia is one of many geriatric problems that may lead to major clinical outcomes. Calf and thigh circumference have good correlation with muscle mass, whereas SARC-F questionnaire is very predictive of muscle function. There has not been a study that evaluates the diagnostic performance of calf and thigh circumference in combination with SARC-F questionnaire in detecting sarcopenia. The aim of this study was to investigate the diagnostic performance of calf and thigh circumference in combination with SARC-F questionnaire compared to standard diagnostic methods of sarcopenia according to the Asian Working Group for Sarcopenia (AWGS) to predict sarcopenia in patient aged 60 years or older. METHODS: this cross-sectional study was conducted in Geriatric Clinic Cipto Mangunkusumo Hospital, Jakarta, Indonesia during April-June 2018. Analysis was performed using receiver operating characteristic (ROC) curve to determine the cut-off point as well as sensitivity (Sn), specificity (Sp), positive and negative predictive value (PPV and NPV), positive and negative likelihood ratio (LR+ and LR-) of calf and thigh circumference as an indicator of low muscle mass, and SARC-F questionnaire score to detect decreased muscle function. RESULTS: from 120 participants, there were 46 men (38.3%) and 74 women (61.7%). The combination of calf circumference with cut-off point below 34 cm in men and below 29 cm in women, thigh circumference below 49 cm in men and below 44 cm in women with SARC-F questionnaire score of ≥4 have Sn, Sp, PPV, NPV, LR+, and LR- of 15.79%; 99.01%; 75.00%; 86.21%; 15.95; and 0.85 respectively. CONCLUSION: combination of calf and thigh circumference with SARC-F questionnaire showed good diagnostic accuracy in predicting sarcopenia in elderly outpatients."

"Otot merupakan fungsi dari aktivitas sehari-hari. Seiring bertambahnya usia, perubahan organ tubuh menyebabkan penurunan massa otot yang berakibat pada individu lanjut usia mengalami penurunan kekuatan tubuh sehingga mobilitasnya berkurang, kesulitan dalam melakukan aktivitas sehari-hari, kesulitan menjaga keseimbangan tubuh, meningkatkan resiko seseorang mengidap penyakit. orang lanjut usia mudah jatuh dan mengalami patah tulang. Namun demikian tidak semua metode pengukuran massa otot apendikuler praktis dan murah sehingga diperlukan metode lain yang dapat mengukur massa otot apendikuler dengan biaya yang sederhana, praktis, dan murah. Tujuan penelitian ini adalah untuk mendapatkan model prediksi massa otot apendikuler berdasarkan lingkar tengah paha, lingkar betis dan lingkar lengan atas sebagai alternatif pengukuran massa otot pada lansia. Penelitian ini menggunakan desain penelitian potong lintang dengan jumlah sampel 101 individu berusia ≥60 tahun (37 laki-laki dan 64 perempuan) di Desa Kadumanggu. Model prediksi yang dihasilkan adalah Massa Otot Apendikuler (kg) = (64.171 x Tinggi Badan (m)) + (1.710 x Indeks Massa Tubuh (kg / m2)) - (0.109 x Lingkar Lengan Atas (cm)) + 0.178 x Lingkar Betis (cm)) + (0,033 x Lingkar Paha Tengah (cm)) - (0,535 x Berat Badan (kg)) - (0,065 x Usia (tahun)) - 98,098 untuk pria lanjut usia (R2 = 0,710; LIHAT = 1, 43 kg ; p <0,05) dan Massa Otot Apendikular (kg) = (8,987 x Tinggi Badan (m)) - (0,170 x Indeks Massa Tubuh (kg / m2)) - (0,117 x Lingkar Lengan Atas (cm)) + (0,121 x Lingkar Betis (cm)) - (0,025 x Lingkar Paha Tengah (cm)) + (0,160 x Berat Badan (kg)) - (0,059 x Usia (tahun)) - 6,491 untuk wanita (R2 = 0,700; LIHAT = 1,23 kg; p <0,05). Model prediksi ini menunjukkan bahwa berat badan, tinggi badan, indeks massa tubuh, umur, lingkar tengah paha, lingkar betis, dan lingkar lengan atas memiliki hubungan yang signifikan dengan massa otot apendikuler.

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Muscle is a function of daily activities. With age, changes in body organs cause a decrease in muscle mass which results in elderly individuals experiencing a decrease in body strength so that their mobility is reduced, difficulty in carrying out daily activities, difficulty maintaining body balance, increasing a person's risk of suffering from disease. elderly people fall easily and have broken bones. However, not all methods of measuring appendicular muscle mass are practical and inexpensive so that another method is needed that can measure appendicular muscle mass at a cost that is simple, practical, and inexpensive. The purpose of this study was to obtain a predictive model for appendicular muscle mass based on mid-thigh circumference, calf circumference and upper arm circumference as an alternative to measuring muscle mass in the elderly. This study used a cross-sectional study design with a total sample of 101 individuals aged ≥60 years (37 males and 64 females) in Kadumanggu Village. The resulting prediction model is Appendicular Muscle Mass (kg) = (64,171 x Body Height (m)) + (1,710 x Body Mass Index (kg / m2)) - (0.109 x Upper Arm Circumference (cm)) + 0.178 x Calf Circumference (cm)) + (0.033 x Mid Thigh Circumference (cm)) - (0.535 x Body Weight (kg)) - (0.065 x Age (years)) - 98.098 for elderly men (R2 = 0.710; VIEW = 1.43 kg; p <0.05) and Appendicular Muscle Mass (kg) = (8.987 x Body Height (m)) - (0.170 x Body Mass Index (kg / m2)) - (0.117 x Upper Arm Circumference (cm)) + (0.121 x Calf Circumference (cm)) - (0.025 x Mid Thigh Circumference (cm)) + (0.160 x Body Weight (kg)) - (0.059 x Age (years)) - 6.491 for women (R2 = 0.700; VIEW = 1.23 kg; p <0.05). This predictive model shows that body weight, height, body mass index, age, mid-thigh circumference, calf circumference, and upper arm circumference have a significant relationship with appendicular muscle mass."

"ABSTRAKNama : Utih ArupahNPM : 1506787121Program : Magister Ilmu Kesehatan MasyarakatJudul : Model Prediksi Berat Badan Menggunakan Prediktor LingkarLengan Atas, Lingkar Pinggang, Lingkar Paha, Lingkar Betis,dan Panjang BadanPengukuran berat badan di rumah sakit merupakan parameter yang objektif,akan tetapi tidak semua pasien yang dirawat dapat dilakukan penimbanganberat badan dengan timbangan biasa, karena pasien tidak bisa berdiri tegak,ketidakmampuan pasien untuk berdiri,lemah tubuh, kesadaran menurun, karenapenyakit tertentu sehingga data yang dihasilkan memiliki reliabilitas yangkurang baik. Lingkar lengan, lingkar pinggang, lingkar paha, lingkar betis danpanjang badan merupakan salah satu ukuran antropometri yang kuat dapatdigunakan untuk memprediksi berat badan. Penelitian ini bertujuan untukmengembangkan model prediksi berat badan berdasarkan lingkar lengan atas,lingkar pinggang, lingkar paha, lingkar betis dan panjang badan. Penelitiandilakukan pada bulan nopember 2017. Disain yang digunakan adalah crosssectional jumlah sampel 160 orang pegawai yang diambil secara simplerandom sampling di RSCM. Variabel yang dikumpuli meliputi berat badan,lingkar lengan atas, lingkar pinggang, lingkar paha, lingkar betis, dan panjangbadan. Berat badan diukur dengan penimbangan dan lingkar lengan atas,lingkar pinggang, lingkar paha, lingkar betis dengan melingkari pita, panjangbadan dengan ukuran meteran. Hasil akhir dari penelitian menghasilkan modelprediksi berat badan untuk mendapatkan berat badan prediksi. Menghasilkan18 model prediksi berat badan memiliki nilai R square tinggi yaitu: 2 modelprediksi berat berat untuk laki-laki R2= 0,898, dan R2= 0,930, 9 model prediksiberat badan untuk perempuan R2=0,960, R2=0,952, R2=0,953, R2=0,956,R2=0,968, R2=0,949, R2=0,945, R2=0,963, R2= 0,944 dan 7 model prediksiuntuk gabungan laki-laki dan perempuan R2=0,949, R2=0,934, R2=0,893,R2=0,935, R2=0,914, R2=0,913, R2=0,929. Peneliti menyimpulkan bahwamodel prediksi berat badan yang dihasilkan akurat untuk memprediksi beratbadan dewasa. Namun perlu dilakukan penelitian kembali pada populasi yanglebih luas.Kata Kunci : Model Prediksi, Berat Badan, Lingkar Lengan Atas

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ABSTRACTNama Utih ArupahNPM 1506787121Program Master of Public HealthJudul Weight Prediction Models Using Upper Arm CircumferencePredictor, Waist Circumference, Thigh Circumference, CalfCircumference and body LengthThe Weight measurement at Hospital is an objective parameter, however thereare only a few treated patients whose body weights can be measured withordinary scales. The reasons are mostly because of their inability to stand up bythemselves or because of certain disease so that the data results have lessreliability. Arm circumference, waist circumference, thigh circumference, calfcircumference and body length are one of the strongest anthropometry can beused to predict body weight. This research aims to develop a weight predictionmodel based on the upper arm circumference, waist circumference, thighcircumference, calf circumference and body length. This research wasconducted in November 2017. The design which used are cross sectional with160 samples of staffs which were taken by simple random in RSCM. Thecollected variables which consist of body weight, upper arm circumference,waist circumference, thigh circumference, calf circumference, and body length.Measurement of body weights can be done by weighing them. Measurement ofupper arm circumference, waist circumference, thigh circumference, calfcircumference can be done by using metering ribbon, and body length withstick meter. The final result of the research creates the formula of body weightprediction to get body weight rsquo s prediction. Producing 18 weight predictionmodels that have high lsquo R rsquo square value, that is 2 weight prediction models forman which are R2 0,898, and R2 0,930, 9 weight prediction models forwomen which are R2 0,960, R2 0,952, R2 0,953, R2 0,956, R2 0,968,R2 0,949, R2 0,945, R2 0,963, R2 0,944 and 7 weight prediction models ofmixed gender R2 0,949, R2 0,934, R2 0,893, R2 0,935, R2 0,914, R2 0,913,R2 0,929 . Scientists concluded that weight prediction models which wasdeveloped is accurate for predicting adult body weight. However, it needs to bere examined in the wider population.Keywords Prediction model, weight, upper arm circumference"