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Association of Metabolic Syndrome Parameters with Kidney Stones in Indonesia

Unnes Journal of Public Health · Vol. 8 No. 2 (2019) · hlm. 88–98

DOI
10.15294/ujph.v8i2.28690
ISSN
2548-7604, 2252-6781
Terbit
2019-07-31
Penerbit
Universitas Negeri Semarang (UNNES) in cooperation with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
Bahasa
eng

Abstrak

Kidney stone disease is common throughout the world. Elevated prevalence of kidney stones is often associated with metabolic syndrome itself. This study aimed to assess the association between kidney stones and metabolic syndrome parameters in differences gender. This was a cross-sectional study with Chi-square and multivariate logistic regression for data analysis from the secondary data Riskesdas 2013 with 26,063 respondents. Diagnosis of kidney stone based on Riskesdas 2013 interview, metabolic syndrome based on NCEP ATP-III and PERKENI. Result showed that there were 226 (0.9%) diagnosed kidney stones cases by doctors. After adjustment age, central obesity was dominant factor which associated with the risk of kidney stones in male (OR 1.9; 95% CI 1.3-2.9; p=0.003) and metabolic syndrome was dominant factor which associated with the risk of kidney stones in female (OR 6.1; 95% CI 3.4-11.3; p<0.001). The conclusion was that metabolic syndrome and central obesity were associated with risk of kidney stones.

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  • State University of Semarang
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Rekan penulisOrganisasiArtikel bersama
Dina Nur Anggraini NingrumAfiliasi tidak diketahui6
Irwan BudionoAfiliasi tidak diketahui5
Oktia Woro Kasmini HandayaniState University of Semarang5
Widya Hary CahyatiAfiliasi tidak diketahui5
Ari YuniastutiState University of Semarang4
Tandiyo RahayuAfiliasi tidak diketahui4
RR. Sri Ratna RahayuAfiliasi tidak diketahui3
Arulita Ika FibrianaAfiliasi tidak diketahui3
Widya Hari CahyatiAfiliasi tidak diketahui3
Fitri IndrawatiAfiliasi tidak diketahui2
Muhamad Zakki SaefurrohimAfiliasi tidak diketahui2
Muhammad AzinarAfiliasi tidak diketahui2
R SusantiAfiliasi tidak diketahui2
Lukman FauziAfiliasi tidak diketahui2
Alfiana Ainun NisaAfiliasi tidak diketahui2
Nurul Dwi AstutiAfiliasi tidak diketahui1
Nur RohmawatiAfiliasi tidak diketahui1
Siswanti SiswantiAfiliasi tidak diketahui1
Nur Lissa UtamiAfiliasi tidak diketahui1
Erika PrihatiningsihAfiliasi tidak diketahui1
Trinanda Agustina Sapta NingrumAfiliasi tidak diketahui1
Muhammad Hakam ArifinAfiliasi tidak diketahui1
Ina YulianaAfiliasi tidak diketahui1
Nita SuryaningsihAfiliasi tidak diketahui1
Meilinda Ayu SaputriAfiliasi tidak diketahui1
Rezqy Laili MunthariAfiliasi tidak diketahui1
Pangesty Tisna Wahyu NurcahyaniAfiliasi tidak diketahui1
Ayu Tri IsmiatiAfiliasi tidak diketahui1
Agita Kusuma DewiAfiliasi tidak diketahui1
Astri FitrianaAfiliasi tidak diketahui1
Lina ShofiyanahAfiliasi tidak diketahui1
Dhita Aulia FerdianiAfiliasi tidak diketahui1
Sugiharto SugihartoAfiliasi tidak diketahui1
Imam SubhiAfiliasi tidak diketahui1
Syahrina Nurul HikmahAfiliasi tidak diketahui1
Amira Isnaini MahmudahAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/ujph/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Association of Metabolic Syndrome Parameters with Kidney Stones in Indonesia</dc:title>
	<dc:creator>Fazriyah, La’elatul</dc:creator>
	<dc:creator>Azam, Mahalul</dc:creator>
	<dc:creator>Septiani, Indah</dc:creator>
	<dc:creator>Wijayanti, Yuni</dc:creator>
	<dc:description xml:lang="en-US">Kidney stone disease is common throughout the world. Elevated prevalence of kidney stones is often associated with metabolic syndrome itself. This study aimed to assess the association between kidney stones and metabolic syndrome parameters in differences gender. This was a cross-sectional study with Chi-square and multivariate logistic regression for data analysis from the secondary data Riskesdas 2013 with 26,063 respondents. Diagnosis of kidney stone based on Riskesdas 2013 interview, metabolic syndrome based on NCEP ATP-III and PERKENI. Result showed that there were 226 (0.9%) diagnosed kidney stones cases by doctors. After adjustment age, central obesity was dominant factor which associated with the risk of kidney stones in male (OR 1.9; 95% CI 1.3-2.9; p=0.003) and metabolic syndrome was dominant factor which associated with the risk of kidney stones in female (OR 6.1; 95% CI 3.4-11.3; p&amp;lt;0.001). The conclusion was that metabolic syndrome and central obesity were associated with risk of kidney stones.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang (UNNES) in cooperation with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))</dc:publisher>
	<dc:date>2019-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/ujph/article/view/28690</dc:identifier>
	<dc:identifier>10.15294/ujph.v8i2.28690</dc:identifier>
	<dc:source xml:lang="en-US">Unnes Journal of Public Health; Vol 8 No 2 (2019): Unnes Journal of Public Health; 88-98</dc:source>
	<dc:source>2548-7604</dc:source>
	<dc:source>2252-6781</dc:source>
	<dc:source>10.15294/ujph.v0i0</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/ujph/article/view/28690/13853</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Unnes Journal of Public Health</dc:rights>
</oai_dc:dc>