Ditemukan 40007 dokumen yang sesuai dengan query :: Simpan CSV
Ella Nurmila Novianty; Pembimbing: Diah M. Utari; Penguji: Asih Setiarini, Agus Triwinarto
s-5114
Depok : FKM UI, 2007
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Indri Wahyuni; Pembimbing: Trini Sudiarti; Penguji: Ratu Ayu Dewi Sartika, Salimar
S-4848
Depok : FKM UI, 2006
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Abdurrahman; Pembimbing: Diah M. Utari
S-2060
Depok : FKM UI, 2001
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Nur Ratna Intan; Pemb. Syafri Guricci; Penguji: Kusharisupeni, Meylina Djafar
S-5435
Depok : FKM UI, 2008
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Nur Faizah; Pembimbing: Luknis Sabri
S-3449
Depok : FKM-UI, 2003
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Ito Leiliana; Pemb. Kusharisupeni; Penguji: Yvonne Magdalena Indrawani, Edith H. Sumedi
S-5364
Depok : FKM UI, 2008
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Diah Ayu Asmarani; Pembimbing: Triyanti; Penguji: Engkus Kusdinar Achmad, Ida Ruslita Amir
Abstrak:
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.
Kata kunci : Antropometri, Bioelectrical Impedance Analysis (BIA), Gizi lebih, IMT/U, Persen lemak tubuh n
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.
Keywords: Anthropometry, Bioelectrical Impedance Analysis (BIA), BMI for age, overnutrition, percentage body fat
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Kata kunci : Antropometri, Bioelectrical Impedance Analysis (BIA), Gizi lebih, IMT/U, Persen lemak tubuh n
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.
Keywords: Anthropometry, Bioelectrical Impedance Analysis (BIA), BMI for age, overnutrition, percentage body fat
S-9151
Depok : FKM UI, 2016
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Fitria Rahmi; Pembimbing: Kusharisupeni Djokosujono; Penguji: Triyanti, Salimar
Abstrak:
WHO menyatakan rendahnya konsumsi buah dan sayur merupakan salah satu dari 10 faktor utama yang menyebabkan tingginya angka kematian. Rata-rata remaja di negara barat tidak memenuhi rekomendasi WHO untuk mengonsumsi buah dan sayur minimal 400 gram per hari. Di Indonesia, rekomendasi konsumsi buah dan sayur adalah 5 porsi buah dan sayur berdasarkan WHO. Penelitian ini bertujuan untuk mengetahui gambaran distribusi konsumsi buah dan sayur siswa SMAIT Nurul Fikri Depok tahun 2017 serta faktor-faktor yang berhubungan dengan konsumsi buah dan sayur siswa SMAIT Nurul Fikri Depok tahun 2017. Penelitian ini menggunakan desain cross sectional dengan jumlah sampel 156 orang, dilakukan pada bulan Juni 2017 di SMAIT Nurul Fikri Depok. Sumber data penelitian ini adalah data pimer yang dikumpulkan dengan metode pengisian kuesioner dan formulir Food Frequency Questionnaire pada siswa SMAIT Nurul Fikri Depok tahun 2017 dengan alat bantu kuesioner dan formulir Food Frequency Questionnaire. Analisis data menggunakan uji statistik chi-square dan regresi logistik ganda model faktor dominan. Konsumsi buah dan sayur baik terdapat sebanyak 5.1% siswa. Terdapat 5 variabel yang diduga menjadi faktor dominan konsumsi buah dan sayur di SMAIT Nurul Fikri Depok tahun 2017. Setelah dilakukan analisis, variabel yang dominan berhubungan dengan konsumsi buah dan sayur adalah keterpaparan media dengan p= 0,012 dan OR=0,048 artinya siswa yang tidak memiliki keterpaparan media yang baik mengenai buah dan sayur berpeluang untuk tidak mengonsumsi buah dan sayur 0,048 kali dibanding yang terpapar media setelah dikontrol oleh ketersediaan di rumah, ketersediaan di sekolah, pengetahuan dan preferensi terhadap buah dan sayur. Kata Kunci : Konsumsi, buah, sayur WHO report that low consumption of fruit and vegetable causal high fatality rate. Adolescent average in west not comply with a request of WHO for cunsumption fruit and vegetable with a minimum consumption 400 gram/day. In Indonesia, recommendation for consumption fruit and vegetables is 5 portion fruit and vegetable per day.. This study purpose for knows distribution consumption of fruit and vegetable student senior high school Islam Terpadu Nurul Fikri Depok 2017 with factor-factor related to consumption fruit and vegetable at student senior high school Islam Terpadu Nurul Fikri Depok 2017. This study use desain cross sectional with total sample 156 responden. It going on June 2017 at Senior High Scholl Islam Terpadu Nurul Fikri Depok. Source of data is primer data with filled the questionnaire and form Food Frequency Questionnaire by student senior high school Islam Terpadu Nurul Fikri Depok. Analisys data use test statistic chi-square and regression binary logistic by factor dominant models. Goog consumption fruit and vegetable 5,1% student in senior high school islam terpadu nurul fikri Depok. There are 5 variabels expected as factor dominant consumption fruit and vegetable in senior high school islam terpadu nurul fikri Depok 2017. After do analisys, dominant variabel related with consumption fruit and vegetable is connected mass media p value = 0,012 and odd ratio = 0,048 its mean students connected mass media consumption fruit and vegetable have opportunity as big as 0,048 times to consumption fruit and vegetable just than student dont connected mass media. Key words :Consumption, fruit, vegetable
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T-4970
Depok : FKM UI, 2017
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Egah Kurnia Sulistya; Pembimbing: Diah Mulyawati Utari; Penguji: Yvonne M. Indrawani, Fitrah Ernawati
S-5209
Depok : FKM UI, 2007
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Jessica Harland; Pembimbing : Triyanti; Penguji: Trini Sudiarti, Ida Ruslita
Abstrak:
Gizi lebih meningkatkan risiko terjadinya penyakit tidak menular (PTM) padaanak usia sekolah. Tujuan penelitian ini adalah untuk mengetahui faktor dominandari gizi lebih. Penelitian ini menggunakan desain cross-sectional pada siswakelas 4 dan 5 SDIT Nurul Fikri Depok (n=114). Hasil penelitian menunjukkanbahwa 49.1% anak sekolah mengalami gizi lebih. Faktor-faktor yang mempunyaihubungan bermakna dengan gizi lebih adalah konsumsi fast food (p=0.003; CI95%), konsumsi minuman manis (p=0.000; CI 95%), aktivitas fisik (p=0.000; CI95%), asupan protein (p=0.049; CI 95%) dan asupan serat (p=0.000; CI 95%).Didapatkan faktor dominan gizi lebih adalah aktivitas fisik (p=0.001; OR 6.069)yang berarti bahwa responden dengan aktivitas fisik yang rendah berisiko 6 kaliterkena gizi lebih dibandingkan dengan responden dengan aktivitas fisik tinggi.Dari hasil penelitian, diharapkan adanya peningkatan aktivitas fisik, peningkatanasupan serat dan mengurangi konsumsi minuman manis.Kata Kunci :Aktivitas Fisik, Anak Sekolah, Gizi Lebih
Overnutrition increases the risk of non-communicable diseases (NCDs) in school-age-children. This study aimed to identify the dominant factors of theovernutrition This study used the cross-sectional design on 4th and 5th gradesstudents at SDIT Nurul Fikri Depok (n=114). The results showed that 49.1% ofstudents were overnutrition. Factors significantly associate with overnutritionwere fast food consumption (p=0.003; CI 95%), sweetened beveragesconsumption (p=0.000; CI 95%), physical activity (p=0.000; CI 95, protein intake(p=0.049; CI 95%) and fyber intake (p=0.000; CI 95%). The dominant factorassociated with overnutrition was physical activity (p=0.001; OR 6.069), whichmeans that respondents with low physical activity have a risk 6 times exposedwith overnutrition. Based on this research, attention shoul be given more tophysical activity, fiber intake and sweetened beverages consumption.
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Overnutrition increases the risk of non-communicable diseases (NCDs) in school-age-children. This study aimed to identify the dominant factors of theovernutrition This study used the cross-sectional design on 4th and 5th gradesstudents at SDIT Nurul Fikri Depok (n=114). The results showed that 49.1% ofstudents were overnutrition. Factors significantly associate with overnutritionwere fast food consumption (p=0.003; CI 95%), sweetened beveragesconsumption (p=0.000; CI 95%), physical activity (p=0.000; CI 95, protein intake(p=0.049; CI 95%) and fyber intake (p=0.000; CI 95%). The dominant factorassociated with overnutrition was physical activity (p=0.001; OR 6.069), whichmeans that respondents with low physical activity have a risk 6 times exposedwith overnutrition. Based on this research, attention shoul be given more tophysical activity, fiber intake and sweetened beverages consumption.
S-9303
Depok : FKM-UI, 2017
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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