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Abstrak :
Gula darah puasa yang tidak normal merupakan suatu masalah yang serius dan dapat berujung ke penyakit Diabetes Mellitus. Penyakit ini sering ditemukan di Indonesia dan masih dibutuhkan sebuah metode untuk menilai risiko seseorang terkena Diabetes Mellitus yang cepat akurat dan mudah untuk dilakukan sehingga peneliti ingin mencari tahu apakah pengukuran persentase lemak tubuh menggunakan skinfold method memiliki hubungan dengan gula darah puasa. Pengambilan data berlangsung dari periode Juli 2018 hingga Agustus 2018. Kriteria inklusi mencakup responden-responden berumur 19-50 tahun yang secara sukarela mengikuti penelitian ini dan berasal dari sekitar Jakarta. Kriteria eksklusi mencakup perempuan yang sedang hamil, menyusui, dan menstruasi serta seluruh subjek yang sedang sakit atau sedang meminum obat rutin. Dari kriteria tersebut, didapatkan responden total dimana 126 orang dianalisis dari jumlah total sebanyak 277 orang. Sisa 151 responden tidak dianalisis karena tidak memiliki data lengkap untuk skinfold, gula darah puasa, dan asupan nutrisi. Hasil analisis ditemukan bahwa persentase lemak tubuh yang diukur berkorelasi positif secara tidak signifikan dan lemah p=0,064, r=0,165. Setelah dianalisis lebih lanjut dan dilakukan penyesuaian terhadap usia, asupan karbohidrat dan kalori, serta jenis kelamin, ditemukan bahwa persentase lemak tubuh berhubungan secara signifikan sebesar 9,7 % terhadap gula darah puasa p=0,005, Adjusted b=0,542, 95 % CI=-0,167-0,917. Bila disimpulkan, terdapat hubungan yang bermakna antara persentase lemak tubuh dengan gula darah puasa namun diperlukan penelitian lanjut menggunakan ukuran sampel yang lebih besar sebelum dapat digunakan secara luas sebagai metode skrining gula darah puasa tidak normal. ...... Abnormal fasting blood glucose is one of the serious medical problems faced upon us that can lead to Diabetes Mellitus. This disease could be found commonly in Indonesia and it is still needed a fast, accurate, and easy to use method of to find the risk of someone having diabetes mellitus hence the author wanted to know whether measuring body fat percentage using skinfold thickness as a screening method is viable for predicting fasting blood glucose. Data is gathered starting from July 2018 until August 2018. Inclusion criterias are defined as volunteers with age ranged from 19-50 years old and are from Jakarta which mostly came from East Jakarta. Exclusion criteria includes women that are having their period, pregnant, or breastfeeding. Volunteers that are sick or taking routine medications are also excluded. The results were 126 people that are accepted for data analysis out of a total of 277 people. The rest of the volunteers were not analysed since they didnt account for the inclusion and exclusion criteria and some of them also didnt have data for either skinfold, fasting blood sugar, nor nutritional intake. Results shows that a borderly significant positive correlation is present between body fat percentage and fasting blood glucose p=0.064, r=0.165. Further analysis and adjustments show that body fat percentage affects fasting blood glucose by 9.7 % when confounding variables were not accounted p=0.005, Adjusted b=0.542, 95 % CI=-0.167-0.917. Hence, it is found that an increase in body fat percentage may increase an amount of fasting blood glucose after adjustment for calorie and carbohydrate intake. Despite this result, a study with a larger sample size must be done before body fat percentage can be used as a comparative scale against fasting blood glucose.

Abstrak :
Tujuan penelitian ini adalah untuk mengetahui korelasi pengukuran antropometri Lingkar Pinggang, IMT, RLPP, dan Skinfold Thickness dengan persen lemak tubuh BIA sebagai "Golden Standard". Beberapa studi telah menghasilkan rumus prediksi lemak tubuh dengan pengukuran IMT dan Skinfold, serta menetapkan batasan gizi lebih untuk populasi anak di Asia. Dalam penelitian ini juga dievaluasi rumus prediksi dan cut-off point yang paling tepat digunakan untuk populasi anak di Indonesia. Penelitian dilakukan pada 157 anak dari SD Vianney dan SD Mardi Yuana di Jakarta dan Depok pada tahun 2010 yang menunjukkan prevalensi gizi lebih di atas 20%. Studi validasi ini menggunakan pendekatan kuantitatif dengan desain penelitian cross sectional. Pengambilan sampel menggunakan rumus uji koefisien korelasi. Alat yang digunakan untuk mengukur Lingkar Pinggang dan RLPP adalah pita meter non-elastis, untuk pengukuran IMT yaitu dengan microtoise dan timbangan SECA, serta caliper Harpenden untuk mengukur Skinfold Thickness. Setiap pengukuran dilakukan dua kali. Analisis yang dilakukan adalah uji korelasi untuk melihat kekuatan hubungan variabel antropometri dan rumus prediksi dengan persen lemak tubuh, analisis sensitivitas dan spesifisitas cut-off point, uji beda rumus prediksi dengan persen lemak tubuh, dan uji regresi. Hasil menunjukkan rata-rata Lingkar Pinggang, RLPP, persen lemak tubuh dan tricep skinfold lebih tinggi pada anak laki-laki, dan rata-rata IMT, bicep, dan subscapular lebih tinggi pada anak perempuan. Semua variabel berhubungan kuat dengan persen lemak tubuh BIA, yang paling kuat hubungannya adalah IMT Z score pada anak perempuan dengan r = 0.985. Rumus prediksi persen lemak tubuh yang memiliki hasil hampir serupa dengan persen lemak tubuh BIA adalah rumus IMT Deurenberg. Cut-off point yang paling baik sensitivitas dan spesifisitasnya adalah cut-off point IMT WHO dengan sensitivitas 79.75% dan spesifisitas 91.03%. Secara umum, IMT lebih baik dalam memprediksi persen lemak tubuh.

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The purpose of this study was to evaluate correlation between anthropometric measurement : waist circumference, body mass index (BMI), waist-hip-ratio, and skinfold thickness; and percentage of body fat measured by BIA as a golden standard. Some studies found several equations to predict percentage of body fat from antrhopometric measurements like body mass index and skinfold thickness. Previous studies had established cut-off points to define overweight for pediatric population in Asia. In this study, a prediction equation and cut-off point to define overweight would be evaluated as well, the ones which were closer to percentage of body fat BIA, was a better approach and indicator to define overweight in Indonesian children. Data were obtained from 157 children from two different elementary schools, SD Vianney and SD Mardi Yuana. Both schools had overweight prevalence more than 20%. Design of this validation study was a cross sectional one with a quantitative approach. Samples were taken by using sampling equation of coeficient correlation. Waist circumference and waist-hip ratio were measured by using non-elastic tape, body mass index was measured by using SECA body scale and microtoise, and skinfold thickness was measured by using Harpenden caliper. Every measurement was taken two times. This study analyzed the strength of correlation between antropometric measurement and percentage body fat BIA, evaluated the sensitivity and spesificity of cut off points to define overweight, and evaluated the difference between prediction equations and BIA. Results showed that means of waist circumference, waist hip ratio, percentage body fat, and tricep skinfold are higher in boys, whereas, body mass index, bicep and subscapular skinfold were higher in girls. Every variable had a good correlation with percentage body fat BIA. The strongest correlation was between BMI in Z score and percentage body fat BIA in girls with r = 0.985. The prediction equation that produced similar result with percentage body fat BIA was equation from Deurenberg and the cut-off point that had a highest sensitivity and specficity was standard from WHO, the sensitivity was 79.75% and specificity was 91.03%. Overall, BMI was a good prediction to assess percentage body fat.

Abstrak :
Perubahan komposisi tubuh sering digunakan untuk menilai pengaruh pola makan pada tubuh. Pola makan yang tidak sehat secara langsung mempengaruhi kerentanan terhadap obesitas dan dengan demikian, terkena noncommunicable diseases (NCD) nantinya. Namun, masih belum diketahui apakah kualitas diet seperti Alternating Healthy Eating Index for pregnancy (AHEIP) dapat dikaitkan dengan kondisi tersebut pada wanita postpartum. Penelitian ini menyelidiki kualitas diet wanita postpartum di Jakarta dan menganalisis hubungannya dengan persentase lemak tubuh. Studi ini menggunakan data sekunder dari ‘BRAVE’ project oleh HNRC-IMERI FKUI yang melakukan studi cross-sectional pada populasi di Jakarta. Penelitian ini melibatkan 132 wanita yang sedang dalam periode 6 bulan setelah persalinan. Kualitas diet dinilai melalui pengumpulan kuesioner 24-hour food recall dan diikuti oleh kalkulasi skor AHEI-P. Sedangkan persentase lemak tubuh dihitung dengan rumus termodifikasi yang menggunakan hasil pengukuran ketebalan lipatan kulit subscapular, trisep, bisep, serta tinggi tubuh, dan lengkar lingan. Hubungan antara skor AHEI-P dan persentase lemak tubuh kami tentukan dengan melakukan analisis regresi linear berganda yang disesuaikan dengan faktor perancu. Skor AHEI-P dari 78% total subjek adalah <45, menunjukkan kualitas diet yang buruk. Sedangkan median dari persentase lemak tubuh adalah 31.3, dengan 90,2% dari total subjek memiliki persentase lemak tubuh yang normal. Melalui regresi linear berganda, tidak ditemukan adanya hubungan bermakna antara kedua variabel. Faktor perancu yang menunjukkan adanya hubungan signifikan dengan skor AHEI-P adalah BMI sebelum hamil (adj. β = 0.067; 95% CI = -0.081 – 0.216; p = 0.371). Kesimpulannya, penelitian ini mengungkapkan bahwa populasi subjek penelitian memiliki kualitas diet buruk dan persentase lemak tubuh yang sebagian besar normal. Selain itu, tidak ditemukan adanya hubungan antara kualitas diet dan persentase lemak tubuh. Temuan ini menekankan betapa pentingnya penerapan intervensi untuk pola. ......Changes in body composition have often been used to assess the effects of diet. An unhealthy diet directly affects the likelihood of developing obesity and thus, acquiring noncommunicable diseases (NCDs). However, it remains unclear whether dietary quality such as Alternating Healthy Eating Index for pregnancy (AHEI-P) is associated with such conditions in postpartum women. We investigated the dietary quality of postpartum women in Jakarta and analysed how it associates with their body fat percentage. A cross-sectional study was done in Jakarta using secondary data from the ‘BRAVE’ project by HNRC-IMERI FKUI. This study included 132 women who were six months postpartum. Dietary quality was assessed through the collection of 24-hour food recall questionnaires and subsequent AHEI-P scoring. Meanwhile, skinfold thickness taken from the biceps, triceps, and subscapular area, along with body height and arm circumference was measured to calculate body fat percentage using a modified formula. Multiple linear regression analysis was performed to determine the association between AHEIP score and body fat percentage, adjusting for potential confounders. The AHEI-P scores of 78% of women were <45, indicating a poor-quality diet, while the median for body fat percentage was 31.3 with 90.2% of subjects having normal adiposity. Results from adjusted multiple linear regression showed an association between AHEI-P with pre-pregnancy BMI (adj. β = 0.067; 95% CI = -0.081 – 0.216; p = 0.371), but no association between AHEI-P with body fat percentage. In conclusion, dietary quality is poor and their body fat percentage is mostly normal, with no association found between AHEI-P score and body fat percentage. These findings underline how crucial it is for interventions for healthy eating to be implemented in order to improve postpartum women's dietary quality and thus lower their risk of developing NCDs later in life. However, further study is needed to confirm these results.