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"[ABSTRAKDXA, Densitometry, Hydrometry, Magnetic Resonance Imaging (MRI), dan Bioelectrical Impedance Analysis (BIA) merupakan metode pengukuran yang akurat untuk menilai komposisi tubuh. Namun metode ini mahal, rumit dan tidak aplikatif jika digunakan masyarakat. Pengukuran antropometri adalah pengukuran yang lebih sederhana, murah dan mudah digunakan untuk evaluasi status gizi. Tujuan dari penelitian ini adalah untuk mendapatkan pengukuran yang lebih sederhana namun akurat dalam mengevaluasi kasus obesitas dengan gold standard BIA. Penelitian ini dilaksanakan pada bulan Mei-April 2015 dengan jumlah total responden 18 laki-laki dan 79 perempuan yang merupakan PNS Dinas Kesehatan Kota Depok Tahun 2015. Desain studi yang digunakan yaitu cross sectional dengan mengukur variabel independen yaitu persen lemak tubuh serta variabel bebas meliputi IMT, lingkar pinggang, lingkar panggul, skinfold tricep, ILT dan RLPP. Hasil penelitian menunjukkan bahwa RLPP memiliki nilai koefisien korelasi paling tinggi yaitu (0,938) dibandingkan dengan pengukuran lainnya. Namun berdasarkan kurva ROC IMT memiliki performa uji paling baik untuk digunakan pada semua jenis kelamin dengan (AUC 0,948; Se = 90,9,5%; Sp = 85,7%; NPP 90%; NPN 85%; LR+ 6,35; LR- 0,10) pada laki-dengan cut off 25,5 kg/m2 sedangkan pada perempuan (AUC 0,943; Se = 81,5%; Sp = 96,2%; NPP 91%; NPN 90%; LR+ 21,4; LR- 0,19) dengan cut off 26,5 kg/m2. Akan tetapi masih diperlukan studi validasi lain dengan mempertimbangkan beberapa faktor seperti usia, jenis kelamin dan etnis.

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ABSTRACT

;DXA, Densitometry, Hydrometry, Magnetic Resonance Imaging (MRI), and Bioelectrical Impedance Analysis (BIA) are accurate measurement methods to assess body composition. However, these methods are expensive, complicated, and not applicative if used by society. Anthropometric measurement is a measurement that is more simple, inexpensive and easy to use for the evaluation of nutritional status. This study aims to procure simpler measurement but accurate in evaluating cases of obesity used BIA as a gold standard. This study was conducted in May-April 2015 with a total number of respondents are 18 male and 79 female who are Civil Servants from Depok Health Departement in 2015. The study used cross sectional design with measure of independent variables which is body fat percentage as well as independent variables include BMI, waist circumference, hip circumference, triceps skinfold, ILT and waist to hip ratio. The result of this study showed that waist to hip ratio had a highest correlation coeffisient (0,938) compared with other measurements. However based on ROC curve, IMT has the best test performance for use on all genders with (AUC 0.948; Se = 90,9,5%; Sp = 85.7%; 90% NPP; NPN 85%, LR + 6.35; LR- 0 , 10) in men with cut-off of 25.5 kg/m2, while the test performence on women (AUC 0.943; Se = 81.5%; Sp = 96.2%; 91% NPP; NPN 90%; LR + 21.4; LR - 0.19) with cut-off 26.5 kg/m2. However another similiar studies were still needed to validate several factors such as age, gender and ethnicity.

, DXA, Densitometry, Hydrometry, Magnetic Resonance Imaging (MRI), and Bioelectrical Impedance Analysis (BIA) are accurate measurement methods to assess body composition. However, these methods are expensive, complicated, and not applicative if used by society. Anthropometric measurement is a measurement that is more simple, inexpensive and easy to use for the evaluation of nutritional status. This study aims to procure simpler measurement but accurate in evaluating cases of obesity used BIA as a gold standard. This study was conducted in May-April 2015 with a total number of respondents are 18 male and 79 female who are Civil Servants from Depok Health Departement in 2015. The study used cross sectional design with measure of independent variables which is body fat percentage as well as independent variables include BMI, waist circumference, hip circumference, triceps skinfold, ILT and waist to hip ratio. The result of this study showed that waist to hip ratio had a highest correlation coeffisient (0,938) compared with other measurements. However based on ROC curve, IMT has the best test performance for use on all genders with (AUC 0.948; Se = 90,9,5%; Sp = 85.7%; 90% NPP; NPN 85%, LR + 6.35; LR- 0 , 10) in men with cut-off of 25.5 kg/m2, while the test performence on women (AUC 0.943; Se = 81.5%; Sp = 96.2%; 91% NPP; NPN 90%; LR + 21.4; LR - 0.19) with cut-off 26.5 kg/m2. However another similiar studies were still needed to validate several factors such as age, gender and ethnicity.

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"Gizi lebih adalah akumulasi lemak berlebih dalam tubuh dan merupakan faktor risiko DM tipe 2 hingga kematian. Penelitian ini bertujuan untuk mengetahui perbedaan proporsi kejadian gizi lebih berdasarkan konsumsi air putih, minuman manis, asupan zat gizi makro, frekuensi makan, dan kebiasaan merokok. Desain penelitian ini adalah potong lintang dengan 108 responden yang merupakan Pegawai Negeri Sipil Dinas Kesehatan Kota Depok. Pengukuran status gizi menggunakan IMT; konsumsi air putih menggunakan Questionnaire for Water Consumption Habits oleh BioMed Center; konsumsi minuman manis menggunakan BEVQ-15; asupan gizi makro dan frekuensi makan menggunakan 24h-food recall; kebiasaan merokok menggunakan kuesioner yang diadaptasi dari Dare et al. Hasil penelitian menunjukkan bahwa sebanyak 50 PNS mengalami gizi lebih IMT ge;25 kg/m2 . Terdapat perbedaan bermakna proporsi gizi lebih berdasarkan konsumsi air putih, minuman manis, asupan energi, lemak, karbohidrat, dan frekuensi makan. Setelah dikontrol oleh jenis kelamin, perbedaan bermakna ditemukan hanya pada perempuan, sedangkan untuk variabel frekuensi makan hanya pada laki-laki. Anjuran peningkatan konsumsi air putih, asupan rendah kalori dan lemak, serta pengurangan minuman manis diharapkan dapat mencegah dan menanggulangi angka kejadian gizi lebih.

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Overnutrition is a risk factor for Type 2 Diabetes Mellitus even death. This study aims to determine the difference of overnutrition proportion based on water consumption, sugar sweetened beverage, dietary intake, eating frequency, and smoking habits. This is a cross sectional study with 108 Civil Servants of Dinas Kesehatan Kota Depok as respondents. Ovenutrition was measured using Body Mass Index water consumption using Questionnaire for Water Consumption Habits by BioMed Center sugar sweetened beverage SSB using BEVQ 15 dietary intake and eating frequency using 24h food recall smoking habits using adapted questionnaire by Dare et al. The overnutrition prevalence was 50 BMI ge 25 kg m2. There were significant differences based on water consumption, SSB, energy, fat, carbohydrate intake, and eating frequency. After controlled by sex, the differences were only significant in women eating frequency was only significant in men. Increasing of water consumption, low calories and fat intake, and SSB reducing could be the solution to overcome and prevent overnutrition. "

"Tingkat kebugaran kardiorespiratori seseorang berhubungan dengan risiko kematian akibat penyakit kardiovaskular. Penelitian ini bertujuan untuk mengetahui perbedaan status kebugaran kardiorespiratori berdasarkan status gizi (IMT dan persen lemak tubuh), aktivitas fisik, asupan gizi, dan perilaku merokok. Penelitian ini menggunakan desain studi cross-sectional. Penelitian dilakukan pada bulan April hingga Juni tahun 2015 di Dinas Kesehatan Kota Depok. Responden dalam penelitian ini adalah 72 orang pegawai Dinas Kesehatan Kota Depok. Pengambilan data status kebugaran kardiorespiratori menggunakan 1 mile walk test, status gizi diukur dengan pengukuran antropometri, asupan gizi diperoleh dengan metode food recall 2 x 24 jam, aktivitas fisik diperoleh dengan GPAQ, dan perilaku merokok diperoleh melalui pengisian kuesioner. Analisis yang dilakukan adalah analisis univariat dan analisis bivariat. Analisis bivariat yang digunakan adalah uji chi-square, independent t-test, dan non-parametric test. Hasil penelitian menunjukkan bahwa terdapat 62,5% pegawai tidak bugar. Variabel yang memiliki perbedaan bermakna terhadap status kebugaran kardiorespiratori pada penelitian ini adalah IMT dan aktivitas fisik.

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Cardiorespiratory fitness level of a person associated with the risk of death from cardiovascular disease. This study aims to determine differences in cardiorespiratory fitness status based on nutritional status (BMI and body fat percentage), physical activity, nutrient intake, and smoking behavior. This study used a cross-sectional study design. The study was conducted in April and June 2015 in Depok City Health Department. Respondents in this study were 72 employees of Depok City Health Department. Cardiorespiratory fitness status data was collected with an 1 mile walk test, nutritional status measured by anthropometric measurements, nutrient intake obtained by the method of food recall 2 x 24 hours, physical activity obtained by GPAQ, and smoking behavior was obtained through questionnaires. Analysis is conducted univariate and bivariate analyzes. Bivariate analysis used was chi-square test, independent t-test, and non-parametric test. The results showed that there were 62.5% of employees do not fit. Variables that have significant differences on the status of cardiorespiratory fitness in this study is BMI and physical activity."

"Pengukuran persen lemak tubuh yang akurat seperti Dual-energy X-ray Absorptiometry (DXA), hydrostatic weighing, Magnetic Resonance Imaging (MRI), ultrasound, dan Bioelectrical Impedance Analysis (BIA) mahal dan sulit digunakan oleh masyarakat, sehingga dibutuhkan pengukuran yang lebih sederhana. Tujuan dari penelitian ini adalah untuk mendapatkan pengukuran antropometri yang akurat untuk menentukan gizi lebih dengan menggunakan golden standard BIA. Penelitian ini merupakan studi validasi yang dilakukan pada anak kelas 4 dan 5 (9-11 tahun) SDIT Nurul Fikri Depok dengan jumlah sampel 115 orang. Hasil penelitian menunjukkan bahwa IMT/U memiliki koefisien korelasi paling tinggi (r=0,934) dibandingkan dengan pengukuran lainnya. Selain itu, IMT/U juga memiliki validitas paling baik (AUC 0,849; Se 82.69%; Sp 69.84%; NPP 69.35%; NPN 83.02%; LR+ 2.7; LR- 0.2) dengan cut off +0,5 SD.

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Accurate measurement of body fat percentage as Dual-energy X-ray Absorptiometry (DXA), hydrostatic weighing, Magnetic Resonance Imaging (MRI), ultrasound, and Bioelectrical Impedance Analysis (BIA) is expensive and difficult to used by society. Anthropometric measurement is more simple and easy to use for evaluation of nutritional status.

This study aims to obtaine an accurate anthropometric measurement to determine overnutrition with BIA as a golden standard. This study is a validation study conducted on elementary school children grades 4 and 5 (9-11 years old) in Elementary School Nurul Fikri Depok.

The results showed that the BMI for age has the highest correlation coefficient (r=0.934) compared with other measurements. In addition, BMI for age also has the best validity (AUC 0.849; Se 82.69%; Sp 69.84%; 69.35% PPV; NPV 83.02%; LR + 2.7; LR- 0.2) with a cut-off +0.5 SD."

"Persen lemak tubuh (PLT) berlebih yang tergolong obesitas merupakan faktor risiko penyakit degeneratif salah satunya diabetes. Penelitian ini bertujuan mengetahui faktor-faktor yang berhubungan dengan persen lemak tubuh pada polisi laki-laki Kabupaten Purworejo (n = 100; usia 30?58 tahun) diantaranya karakteristik individu, asupan, dan aktivitas fisik. Penelitian ini bersifat kuantitatif dengan desain studi potong lintang. Hasil penelitian menemukan 54% polisi tergolong obesitas. Faktor yang berhubungan dengan PLT diantaranya asupan energi (p=0,0001;CI 95%), protein (p=0,007; CI 95%), lemak (p=0,018; CI 95%), karbohidrat (p=0,001; CI 95%), indeks glikemik (IG) pangan (p=0,0001 ; CI 95%), dan aktivitas fisik (p=0,025; CI 95%). Hasil ini menunjukkan sebaiknya polisi memiliki asupan yang cukup, meningkatkan asupan serat, mengurangi makanan dengan IG tinggi, dan meningkatkan aktivitas fisik.

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AbstractExcess of body fat percentage (BFP) is a risk factor of degenerative illness. The objective of this study was to investigate the relation between factors of body fat percentage in policemen Purworejo Regency. This factors were individual characteristic, macronutrient, fiber intake, and physical activity. Design of this study is cross sectional. This study revealed that 54% polices were obese. Some factor positively associated with BFP were energy intake (p=0,0001; CI 95%), protein (p=0,007; CI 95%), fat (p=0,018; CI 95%), carbohydrate (p=0,001; CI 95%), glycemic index (GI) (p=0,000 ; CI 95%), and physical activity (p=0,025; CI 95%). Results suggest that policemen has to adequate intake, increase fiber intake, decrease food with high GI, and increase physical activity"

"Obesitas adalah faktor risiko penyakit kardiovaskular. Skripsi ini merupakan penelitian dengan desain studi cross-sectional yang bertujuan untuk mengetahui perbedaan kejadian obesitas berdasarkan asupan gizi, aktivitas fisik, dan faktor lainnya. Penelitian ini melibatkan 104 responden yang merupakan PNS di Kantor Dinas Kesehatan kota Depok. Obesitas diukur menggunakan Indeks Massa Tubuh. Sebanyak 50% PNS mengalami obesitas (IMT > 25 kg/m2). Dari beberapa variabel yang diuji, terdapat perbedaan bermakna kejadian obesitas berdasarkan asupan energi, karbohidrat, dan lemak, serta kebiasaan makan di luar rumah baik pada pria maupun wanita. Setelah dikontrol oleh jenis kelamin, perbedaan tersebut hanya bermakna pada wanita. Berdasarkan hasil penelitian, PNS disarankan untuk mengurangi makanan yang mengandung karbohidrat dan lemak yang berlebihan, serta mengurangi frekuensi makan di luar rumah untuk mencegah obesitas.

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Obesity is an independent risk factor for cardiovarcular disease. The purpose of this cross-sectional study is to identify the difference in the incidence of obesity based on dietary intake, physical activity, and some other factors. A total of 104 civil servants of Depok Health Department were included in this study. Obesity was measured using Body Mass Index. The prevalence of obesity (BMI > 25 kg/m2) was 50%. From the tested variables, there were significant differences in proportion of energy, carbohydrate, and protein intake, as well as eating out of home on the prevalence of obesity in both men and women. After controlled by sex, the differences were only significant in women, but not in men. The results suggest that civil servants to reduce energy, carbohydrate, and fat intake, as well as the frequency of eating out of home."

"Gejala konstipasi fungsional merupakan salah satu penyebab menurunnya kualitas hidup. Tujuan penelitian ini untuk mengetahui perbedaan proprosi beberapa faktor risiko dengan gejala konstipasi fungsional. Pengumpulan data dilakukan dengan pengukuran antropometri, wawancara dan pengisian kuesioner. Disain studi yang digunakan crosssectional, dilakukan bulan April hingga Mei 2015,dengan 129 responden, terdiri dari 96 perempuan (74,4%) dan 33 laki-laki 25,6%). Prevalensi gejala konstipasi fungsional adalah 47,3%. Analisis bivariat menunjukkan terdapat perbedaan proporsi antara IMT (p value = 0,021), pengetahuan gizi (p value = 0,020), asupan serat (p value = 0,012), dan aktivitas fisik (p value = 0,029) dengan gejala konstipasi fungsional. Diharapkan guru sekolah dasar dapat meningkatkan kualitas kesehatan dengan olahraga teratur dan mengonsumsi cukup serat untuk mencegah gejala konstipasi fungsional.

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Functional constipation symptom is one for risk factors of decreasing
quality of life. The purpose of the study was to determine differences in the proportion of multiple risk factors with functinal constipation symptom to perform anthropometry measurement, interview and admission questionnaire. This study was conducted with cross sectional design at April until May 2015. Study consisted of 129 respondent consisted of 96 women (74,4%) and 33 men (25,6%).
The prevalence of functional constipation symptom were 47,3%. Bivariate analysis showeed there to the difference betweeen BMI (p value = 0,021), knowledge of nutrition (p value = 0,020), fiber intake (p value = 0,012), and physical activity (p value = 0,029) with functional constipation symptom.
Elementary school teacher was expected to further improve the quality of health, by doing regularly exercise and consumpt adequat fiber intake to prevent functional constipation symptom."

"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."

"Indonesia merupakan salah satu negara yang memilki penduduk dengan status gizi rendah. Data Riskesdas menunjukkan bahwa 13,3% anak laki-laki dan 10,9% anak perempuan berada dalam status gizi kurang. Tujuan dari penelitian ini adalah mengetahui apakah status gizi tersebut berhubungan dengan asupan lemak yang dikonsumsi. Penelitian ini dilakukan pada kelompok remaja yang berusia 13-18 tahun. Quesioner food-record diisi oleh responden selama 3 hari dalam 1 minggu yaitu dari tanggal 15 Januari 2011 sampai 22 Januari 2011 digunakan untuk mengetahui asupan lemak dan data pengukuran Indeks Massa Tubuh digunakan untuk menentukan status gizi. Responden dalam penelitian ini berjumlah 90 orang. Dari 90 responden tersebut, terdapat 1 (1,1%) responden dengan status gizi kurang, 64 (71,1%) responden dengan status gizi cukup, dan 25 (27,8%) responden dengan status gizi lebih. Dengan uji Kolmogorov-Smirnov, didapatkan hasil bahwa dalam penelitian ini tidak ditemukan hubungan antara asupan lemak dengan status gizi (p=0,736).

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Malnutrition continues to be a primary cause of ill health and mortality among children in developing countries like Indonesia. Riskesdas showed that 13.3% males and 10.9% females under 18 years of age in Indonesia were under-nutrition. In the present study, an attempt was made to find the prevalence of under-nutrition among school children 13-18 year age group and its association with fat intake. Nutritional status of the children was assessed by measuring Body Mass Index (BMI) and their fat intake for three day (Januari 15-22, 2011) was recorded using food-record questionnaire. A total 90 students were randomly selected from the study area. Among 90 students, 1.1% students were found to be undernutrition, 71.1% normal, and 27.8% overnutrition. There was no significant difference (Kolmogorov-Smirnov p>0.05) between prevalence of under-nutrition and fat intake. It was concluded that the prevalence of under-nutrition among school children 13-18 year age group was not associated with fat intake."

"Skripsi ini membahas gambaran asupan makanan (asupan energi, karbohidrat, protein dan lemak) dan faktor-faktor lain (karakteristik individu, kebiasaan sarapan pagi, faktor genetik, aktivitas fisik, dan durasi waktu tidur) dengan obesitas pada pegawai Unit Pelayanan Gizi PKSC Jakarta Tahun 2012. Penelitian menggunakan studi deskriptif dengan disain penelitian potong lintang. Pengambilan sampel menggunakan total populasi, dengan sampel penelitian sebanyak 57 orang. Analisis data meliputi analisis univariat dan analisis bivariat. Analisis bivariat dilakukan dengan 2 jenis uji statistik yaitu Uji Korelasi dan Uji Beda Dua Mean (Uji T). Hasil penelitian menunjukkan rata-rata PLT pegawai adalah 31,92% ± SD 14,60%. Hasil analisis bivariat menunjukkan karakteristik individu (jenis kelamin dan umur), asupan energi, asupan karbohidrat, dan frekuensi kebiasaan sarapan pagi memiliki hubungan signifikan dengan obesitas, sedangkan asupan protein, asupan lemak, faktor genetik, aktivitas fisik dan durasi waktu tidur tidak memiliki hubungan signifikan dengan obesitas. Saran yang dapat diberikan adalah pegawai harus memperhatikan asupan makanan, melakukan aktivitas fisik berupa olahraga, menerapkan pedoman umum gizi seimbang, serta melakukan pemeriksaan kesehatan secara berkala. Di samping itu, PKSC juga memberikan penyuluhan dan konsultasi tentang gizi dan kesehatan bagi pegawai bersama ahli gizi.

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This thesis talks about description food intake (energy intake, carbohydrate, protein, and fat) and other factors (characteristics of respondents, breakfast frequency, genetic factor, physical activity and sleep duration) with obesity of nutritional care employees at St. Carolus Jakarta Health Care in 2012.

The study used descriptive study with cross sectional design. Sampling was conducted using total population, with sample study as many as 57 respondents. Data analysis included univariate and bivariate analysis. Bivariate analysis performed with two types of statistical tests, Correlation Analysis and Independent Samples T-Test.

The study result showed that mean of body fat percentage of employees is 31,92% ± SD 14,60%. Results of bivariate analysis showed characteristics of respondents (gender and age), energy intake, carbohydrate intake and breakfast frequency have a significant relation with obesity, whereas protein intake, fat intake, genetic factor, physical activity and sleep duration does not have a significant relation with obesity.

I suggest that employees start to concern with they food intake, applying general guidelines for balanced nutrition, do physical activity of sports, and do periodic medical examination. Beside that, St. Carolus Jakarta Health Care can provide counseling and consultation about nutrition and health for employees with nutritionist."