Prevalensi dan Determinan Sindrom Metabolik pada Kelompok Eksekutif di Jakarta dan Sekitarnya

Kamso, Sudijanto; Purwantyastuti, Purwantyastuti; Lubis, Dharmayati Utoyo; Juwita, Ratna; Robbi, Yull Kurnia; Besral, Besral

doi:10.21109/kesmas.v6i2.110

Cited by 25 publications

(32 citation statements)

References 11 publications

(13 reference statements)

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“…Hasil penelitian sebelumnya memaparkan bahwa pengukuran tekanan darah dan indeks massa tubuh (IMT) dapat dilakukan untuk memprediksi sindroma metabolik tahap awal ketika tes darah tidak dapat dilakukan (14). Hal tersebut didukung dengan penelitian lain yang menyatakan bahwa pengukuran antropometri yang teratur, penting untuk mendeteksi risiko sindroma metabolik pada kelompok eksekutif di Jakarta (15).…”

Section: Who); National Cholesterol Education Program Expert Panel Onunclassified

Penentuan titik potong skor sindroma metabolik remaja dan penilaian validitas diagnostik parameter antropometri: analisis Riskesdas 2013

Pratiwi

Hasanbasri

Huriyati

2017

Jurnal Gizi Klinik Indonesia

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Section: Who); National Cholesterol Education Program Expert Panel Onunclassified

Penentuan titik potong skor sindroma metabolik remaja dan penilaian validitas diagnostik parameter antropometri: analisis Riskesdas 2013

Pratiwi

Hasanbasri

Huriyati

2017

Jurnal Gizi Klinik Indonesia

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“…8 Penelitian lain di Jakarta mendapatkan prevalensi sindrom metabolik pada kelompok eksekutif sebesar 21,6%, 24,8% pada laki-laki dan 11,8% pada perempuan. 9 Insiden sindrom metabolik diduga berhubungan dengan pergeseran gaya hidup akibat pengaruh globalisasi. Gaya hidup masyarakat berubah menuju masyarakat modern dengan pola konsumsi makanan tradisional beralih ke makanan instan dan kebarat-baratan.…”

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Pola Konsumsi dengan Terjadinya Sindrom Metabolik

Suhaema

Masthalina

2015

Kesmas: National Public Health Journal

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AbstrakTerjadinya sindrom metabolik diduga berhubungan dengan pergeserangaya hidup masyarakat yang berubah menuju masyarakat modern, darimengonsumsi makanan tradisional beralih ke makanan instan dan kebaratbaratan. Penelitian ini bertujuan untuk mengetahui prevalensi sindrom metabolik dan determinannya dari pola konsumsi, meliputi konsumsi sayur dan buah serta pola makan makanan manis, asin, berlemak, lauk hewani berpengawet, dan penggunaan penyedap. Penelitian ini merupakan bagian dari analisis lanjut data Riset Kesehatan Dasar tahun 2013 dengan desain potong lintang. Jumlah sampel setelah pembobotan adalah 1.878.578 orang dengan kriteria berusia 18 tahun ke atas. Pengumpulan data pola konsumsi, antropometri, klinis, dan biomedis telah dilakukan. Analisis data menggunakan kai kuadrat dan regresi logistik biner. Prevalensi sindrom metabolik di Indonesia sebesar 23%, pada perempuan 26,6% dan pada laki-laki 18,3%. Konsumsi makanan manis lebih dari satu kali per hari sebanyak 43,5% dan kurang dari satu kali per hari 10,5% dengan peluang mengalami sindrom metabolik sebesar 6,567 kali. Konsumsi makanan asin yang termasuk dalam kategori sering memiliki proporsi sindrom metabolik sebesar 100% dengan risiko mengalami sindrom metabolik sebanyak 6,363 kali. Terdapat hubungan yang signifikan (nilai p < 0,05) antara pola konsumsisayur dan buah, frekuensi konsumsi makanan manis, asin, berlemak,lauk hewani yang diawetkan, penggunaan penyedap, dan mi instan dengan kejadian sindrom metabolik pada usia produktif.AbstractOccurrence of metabolic syndrome is assumedly related to the changing ofpeople’s lifestyle into modern society, from consuming traditional food to instant food and be westernized. This study aimed to determine metabolicsyndrome prevalence and its determinants from consumption patterns including vegetable and fruit consumption as well as consumption patterns of sweet, salty, fatty food, preserved animal side dishes and use of seasonings. This study was a part of advanced 2013 Basic Health Research data analysis by cross sectional design. A total of sample after weighting was 1,878,578 people on aged 18 years old and older. Collecting consumption pattern, anthropometry, clinic and biomedic data had been conducted. Data analysis used chi square and binary logistic regression. Metabolic syndrome prevalence in Indonesia is 23%, 26.6% on women and 18.3% on men. Consuming sweet food more than once a day was 43.5% and less than once a day was 10.5% with opportunity of suffering metabolic syndrome was 6.567 times. Salty food consumption included into often category had metabolic syndrome proportion worth 100% with 6.363 times risk of suffering metabolic syndrome. There was a significant relation (p value < 0.05) between the pattern of vegetable and fruit consumption, frequency of sweet, salty, fatty food, preserved animal side dishes, the seasoning use and instant noodle with metabolic syndrome occurrence in productive age.

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“…This is consistent with Korneliani, K and Meida, D (2012) in which obese subjects had 3.8 times higher risk for developing hypertension. Another study by Kamso (2011), found that obesity is a risk for metabolic syndrome. The higher the weight, the more blood volume is needed to supply oxygen across the body and in turn gives greater pressure to the arterial wall.…”

Section: Resultsmentioning

confidence: 98%

Differences in Risk Factor of Cardiovascular Disease Risk on Rural and Urban Population

Rosjidi

Isro’in

Wahyuni

2017

Kemas

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Cardiovascular disease is a global threat. This study aimed to obtain a description of cardiovascular disease pattern among rural and urban population in Ponorogo. Two locations were chosen to represent rural and urban area through cluster sampling. Cross sectional study design was chosen with a sample size of 350 respondents. The research instrument was adopted from WHO STEPS. Difference in prevalence between the two clusters were analyzed with ?2 test, with ?=0.05. The result showed that the prevalence smoking and alcohol consumption among males were higher in rural than urban population (p= 0.04 and p=0.012 respectively). The prevalence of unhealthy fruit consumption was higher in both sexes from rural population (p =0.025 and p=0.012). Hypertension was higher among rural female compared to female living in urban area (p=0.024).

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Prevalensi dan Determinan Sindrom Metabolik pada Kelompok Eksekutif di Jakarta dan Sekitarnya

Cited by 25 publications

References 11 publications

Penentuan titik potong skor sindroma metabolik remaja dan penilaian validitas diagnostik parameter antropometri: analisis Riskesdas 2013

Penentuan titik potong skor sindroma metabolik remaja dan penilaian validitas diagnostik parameter antropometri: analisis Riskesdas 2013

Pola Konsumsi dengan Terjadinya Sindrom Metabolik

Differences in Risk Factor of Cardiovascular Disease Risk on Rural and Urban Population

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