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Asep Iwan Purnawan; Pembimbing: Sudarto Ronoatmodjo
S-3008
Depok : FKM UI, 2003
S1 - Skripsi   Pusat Informasi Kesehatan Masyarakat
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Rahma Listyandini; Pembmimbing: Siti Arifah Pujonarti; Penguji: Kusdinar Achmad, Kusharisupeni, Abas Basuni Jahari, Misti
Abstrak:
Akhir-akhir ini, berbagai studi berfokus pada indeks antropometri untuk obesitasseperti lingkar pinggang (LP), rasio lingkar pinggang-lingkar pinggul (RLPP), danrasio lingkar pinggang-tinggi badan (LP-TB) sebagai faktor prediksi sindrommetabolik. Penelitian ini bertujuan mengidentifikasi cut-off points dengan sensitivitasdan spesifistas optimal dari indeks antropometri untuk obesitas dalam mendefinisikansindrom metabolik menurut kriteria NCEP-ATP III pada pegawai di area TanjungPriok di Jakarta. Desain penelitian adalah cross sectional. Analisis data menggunakankurva Receiver Operating Characteristic (ROC) untuk mengindentifikasi cut-offpoints optimal dari LP, RLPP, dan LP-TB dalam memprediksi sindrom metabolik.Total sampel diperoleh sebanyak 256 responden (174 pria dan 82 wanita) berusia 20-58 tahun, yang bekerja di instansi pemerintah di area pelabuhan Tanjung Priok.Berdasarkan area under curve (AUC), didapatkan indeks antropomteri dengan angkaterbesar hingga terkcecil secara berurutan yaitu LP-TB, LP, dan RLPP. Didapati cut-off point LP ≥88 cm pada pria dan ≥85 cm pada wanita. Cut-off points RLPP padapria ≥0,9 dengan sensitifitas 63% dan spesifisitas 60%, sedangkan RLPP pada wanita≥0,83 dengan sensitifitas 73% dan spesifitas 62%. Didapatkan LP-TB dengan cut-offpoints 0,5, dengan sensitivitas 66% (pria) dan 67% (wanita) serta spesifisitas 65%(pria) dan 62% (wanita). Sebagai faktor prediksi sindrom metabolik, indeksantropometri dapat dipilih dengan pertimbangan kemudahan pengukuran. LP dinilailebih mudah dipraktikkan karena pengukuran tidak berbentuk rasio dan hanyamelibatkan satu pengukuran antropometri saja, sehingga bias pengukuran dapatdiminimalisir. Dibutuhkan studi longitudinal untuk memperkuat hasil penelitian ini.Kata kunci:Lingkar pinggang, rasio lingkar pinggang-lingkar pinggul, rasio lingkar pinggang-tinggi badan, receiver operating characterisitic, sindrom metabolik

Recently, many studies have focused on anthropometric indices for abdominal obesityas waist circumference (WC), waist to hip ratio (WHR), and waist to height ratio(WHtR) to define metabolic syndrome (MetS). This study aimed to compare WC,WHR, and WHtR and define an optimal cut-off values, which is most closelypredictive of the components of the NCEP-ATP III MetS definition among employeesin Port of Tanjung Priok, Jakarta. This study was cross-sectional study. ReceiverOperating Characteristic (ROC) analysis was used to examine discrimination andfind optimal cut-off values of WC, WHR, and WHtR to predict components of MetS. Itincluded 256 subjects (174 men and 82 women) aged 20-58 years, who worked inPort of Tanjung Priok. According to area under curve, we found WHtR with thehighest score, followed by WC, and followed by WHR with the lowest score. WC cut-off points were ≥88 cm in men dan ≥85 cm in women. WHR cut-off points were ≥0,9in men (sensitivity 63%; specificity 60%), ≥0,83 in women (sensitivity 73%;specificity 62%). WHtR cut-off points was 0,5, in men and women (sensitivity 66%and specificity 65% in men; sensitivity 67% and specificity 62% in women).Anthropometric indices for metabolic syndrome prediction could be determined byconsidering measurement complexity. WC was considered as an easy measurementbecause it`s not in ratio and involved one measurement. Bias of measurement couldbe minimized. Longitudinal studies is needed to evaluate the consistency of thefindings.Keywords:Waist circumference waist to hip ratio, waist to height ratio, receiver operatingcharacteristic, metabolic syndrome
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T-4696
Depok : FKM-UI, 2016
S2 - Tesis   Pusat Informasi Kesehatan Masyarakat
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Sugeng Wiyono; Pembimbing: Krisnawati Bantas; Penguji: Ratna Djuwita, Endang Laksminingsih Achadi, Idrus Jus'at, Tatang S. Falah
Abstrak:

Saat ini Indonesia tengah mengalami transisi demografi dan transisi epidemiologi. Beberapa cirinya antara lain di satu sisi terjadi penurunan angka kematian bayi dan anak karena penyakit infeksi, namun dipihak lain karena kemajuan bidang ekonomi dan meningkatnya pelayanan kesehatan maka terjadi peningkatan jumlah populasi penduduk tua.Hasil studi indeks massa tubuh di dua belas kota besar di Indonesia (1996) bahwa prevalensi overweight mencapai 16-22.5% dan 4% diantaranya menderita obesitas. Obesitas mencerminkan kandungan lemak tubuh. Lemak tubuh yang berhubungan dengan penyakit jantung koroner adalah lemak tubuh yang spesifik terdapat didalam rongga perut. Selain obesitas, untuk deteksi penyakit jantung- koroner sering diukur melalui kadar kolesterol. Gambaran kadar kolesterol dapat dilihat dari beberapa temuan, antara lain oleh penelitian Tim Monica Jawa Tengah (1996) yakni rata-rata Kolesterol Total sebesar 204.0 mg/dl. Sementara penelitian di Yogyakarta (1996) diperoleh rata-rata kadar Kolesterol Total sebesar 201.9 mg/dl, rata-rata kadar Kolesteol LDL sebesar 128.1 mg/dl dan rata-rata kadar Kolesterol HDL sebesar 52.6 mg/dl.Untuk mengetahui kandungan lemak secara spesifik yang terdapat didalam rongga perut dapat dilihat dari nilai rasio lingkar pinggang-lingkar pinggul/waist to hip ratio. Selanjutnya oleh penulis berasumsi bahwa lemak yang terkandung didalam rongga perut berhubungan dengan kadar kolesterol.Dalam penelitian ini diperoleh nilai rata-rata rasio lingkar pinggang-pinggul (RLPP) sebesar 0.86 dengan standar deviasi 0.06. Jika dikelompokkan berdasarkan Bray, maka 8.5% responden laki-laki termasuk kategori RLPP risiko (>0.95) dan 64.3% responden perempuan termasuk kategori RLPP risiko (0.80).Responden memiliki rata rata Kolesterol Total sebesar 208.37 mg/dl, dan rata-rata Kolesterol LDL sebesar 136.48 mg/dl dengan standar deviasi sebesar 37.52 mg/dl, serta rata-rata Kolesterol HDL sebesar 44.80 dengan standar deviasi 10.42 mg/dl.Rasio lingkar pinggang pinggul secara bermakna berhubungan dengan Kolesterol Total. Kadar Kolesterol Total meningkat sejalan dengan meningkatnya nilai RLPP setelah dikontrol oleh IMT dan Umur. RLPP, IMT dan Umur secara bermakna berkontribusi sebesar 11.00% tehadap kadar Kolesterol Total. Kontribusi RLPP sebagai variabel independen utama dalam persamaan terhadap Kolesterol Total sebesar 29.0%.Rasio lingkar pinggang pinggul secara bermakna berhubungan dengan Kolesterol LDL. Kadar Kolesterol LDL meningkat sejalan dengan meningkatnya nilai RLPP setelah dikontrol oleh IMT dan Umur. RLPP, IMT dan Umur secara bermakna berkontribusi sebesar 6.10% tehadap kadar Kolesterol LDL. Kontribusi RLPP sebagai variabel independen utama dalam persamaan terhadap Kolesterol LDL sebesar 26.2%.Rasio lingkar pinggang pinggul secara bermakna berhubungan dengan Kolesterol HDL. Kadar Kolesterol HDL menurun sejalan dengan meningkatnya nilai RLPP setelah dikontrol oleh umur dan merokok . RLPP, umur dan merokok secara bermakna berkontribusi sebesar 11.00% tehadap kadar Kolesterol HDL. Kontribusi RLPP sebagai variabel independen utama dalam persamaan terhadap Kolesterol HDL sebesar 46.0%.Peningkatan 1 unit RLPP meningkatkan 51.0 mg/dl Kolesterol Total, peningkatan 1 unit IMT meningkatkan 2.49 mg/dl Kolesterol Total, peningkatan 1 unit Umur meningkatkan 0.72 mg/dl Kolesterol Total. Peningkatan 1 unit RLPP meningkatkan 16.95 mg/dl Kolesterol LDL, peningkatan 1 unit IMT meningkatkan 1.65 mg/dl Kolesterol LDL, peningkatan 1 unit Umur meingkatkan 0.61 mg/dl Kolesterol LDL. Peningkatan 1 unit RLPP menurunkan 17.75 mg/dl Kolesterol HDL, dan merokok dapat menurunkan 5.80 mg/dl Kolesterol HDL.Berdasarkan temuan tersebut selanjutnya direkomendasikan untuk dilakukan pemasaran sosial sebagai wahana kampanye untuk skrining lemak dalam rongga perut melalui pengukuran lingkar pinggang dan lingkar pinggul. Penyuluhan menurunkan berat badan bagi individu yang mengalami kegemukan dan penyuluhan berhenti merokok serta mencegah merokok. Juga perlu dilakukan penelitian lanjutan secara analitik dengan rancangan kasus kontrol khusus bagi penderita kegemukan.


 

The Relationship between Waist to Hip Ratio and Cholesterol Levels among Adult Population in Surakarta City 1996Now days, Indonesia has been in transition period both in demography and epidemiology. Several signs are identified, for example in one hand, among children, the infant mortality rate and infections diseases decrease but in another hand the prospect to have a long life in the old population improve because of better economics and health services.The results of body mass index studies from twelve big cities in Indonesia (1996) show that the prevalence of overweight was ranged 16-22.5% and 4% for obesity. Obesity reflects the body fat contained in the body. The body fat that related to coronary heart diseases is body fat, specifically found in stomach hollow. Besides obesity, the blood cholesterol level is commonly used for early detecting of coronary heart diseases.The study in cholesterol levels has been reported in several areas, e.g. MONICA research team 1996 found that the average total cholesterol in Central lava was 204.0 mg/dl and in Yogjakarta (1996) was 201.9 mg/dl whereas the average of LDL cholesterol and HDL cholesterol were 128.1 mg/dl and 52.6 mg/dl, respectively in Yogjakarta area.The ratio of waist to hip specifically describes the fat level in stomach hollow. This study is aimed to evaluate the relationship between fat in stomach hallow and the level of cholesterol using total cholesterol, LDL cholesterol and HDL cholesterol.This study found that the average of waist and hip ratio (RLPP) among the population aged 25-64 years was 0.86 ± 0.06. The result also shows that based on Bray's classification, 8.5% was categorized as population at risk in man (more than 0.95) and for women was 64.3% (more than 0.80). In addition, the total cholesterol level was208.37 ± 40.67mg/dl, LDL cholesterol was 136.48 + 37.52 mg/dl and HDL cholesterol was 44.80 ± 10.42mg/dl.The relationship between RLPP and Total cholesterol is statistically significant. Increasing total cholesterol is likely increases RLPP controlled by BMI and age. The contribution of RLPP, BMI and age to total cholesterol are 11.0%.  Independently, RLPP as a main variable contributes 29.0% to total cholesterol.RLPP is significant correlated to the LDL cholesterol. Increasing LDL cholesterol is likely increases RLPP controlled by BMI and age. The contribution of RLPP, BMI and age to LDL cholesterol are 6.1%. RLPP as a main variable contributes 25.2% to LDL cholesterol, independently.In HDL cholesterol found that HDL is statistically significant to RLPP. Increasing LDL is likely increases RLPP controlled by age and smoking status. The contribution of RLPP, age, and smoking status to HDL cholesterol are 11.0%. RLPP as a main variable contributes 46.0% to HDL cholesterol, independently.Interestingly, this study suggested that the increase of 1 unit RLPP would increase 51.0 mg/dl of total cholesterol. The increase of 1 unit of IMT would increase 2.49 mg/dl of total cholesterol and the improvement of 1 unit of age would increase 0.72 mg/dl of total cholesterol. For LDL cholesterol, 1 unit RLPP would increase 16.95 mg/dl of LDL cholesterol. The increase of 1 unit of IMT would increase 1.65 mg/dl of LDL cholesterol and the improvement of 1 unit of age would increase 0.61 mg/dl of LDL cholesterol. For HDL, 1 unit RLPP would decrease 17.75 mg/dl of HDL cholesterol. The increase of 1 unit of smoking status would decrease 5.8mg/d1 of HDL Cholesterol.In conclusion, maintaining an ideal body weight, decreasing the rate of fat stomach hollow development and not smoking are the best way for preventing the increase of LDL cholesterol and the- decrease of HDL cholesterol. It can be recommended that routine assessment of waist and hip in normal population may be socialized as indices to control fat stomach hollow levels. In addition, non-formal education in relation to normal body weight and stop smoking as well as prevent smoking would be prioritized. Furthermore, it is recommended for further investigation using case-control with the same topic in regard to RLPP and cholesterol.

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T-1497
Depok : FKM-UI, 2002
S2 - Tesis   Pusat Informasi Kesehatan Masyarakat
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Yeni Sifiani Setiadi; Pembimbing: Asih Setiarini
S-3861
Depok : FKM UI, 2004
S1 - Skripsi   Pusat Informasi Kesehatan Masyarakat
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Bul. Pen. Sis. Kes. (Bulitsiskes), Vol.16, No.1, Jan. 2013: hal. 73-82. ( ket. ada di bendel 2012-2013 )
[s.l.] : [s.n.] : s.a.]
Indeks Artikel Jurnal-Majalah   Pusat Informasi Kesehatan Masyarakat
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Tjahjo Harsojo; Pembimbing: Endang L. Achadi
T-558
Depok : FKM UI, 1997
S2 - Tesis   Pusat Informasi Kesehatan Masyarakat
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Bul. Pen. Kes. (Bulitkes), Vol.38, No.1, 2010, hal. 36-42, ( Cat ada di bendel 2008-2011 )
[s.l.] : [s.n.] : s.a.]
Indeks Artikel Jurnal-Majalah   Pusat Informasi Kesehatan Masyarakat
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Nuzulvia Damayanti; Pembimbing: Fatmah; Penguji: Trini Sudiarti, Suma`mur
S-8004
Depok : FKM UI, 2013
S1 - Skripsi   Pusat Informasi Kesehatan Masyarakat
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Katrina Inanda; Pembimbing: Diah Mulyawati Utari; Penguji: Yvonne Magdalena Indrawani
S-7304
Depok : FKM UI, 2012
S1 - Skripsi   Pusat Informasi Kesehatan Masyarakat
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