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Association of Metabolic Syndrome Parameters with Kidney Stones in Indonesia

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

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

Abstract

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.

Collaboration network of the authors

40 authors · 93 co-authorship links · showing the 40 most connected

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  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dina Nur Anggraini NingrumAffiliation unknown6
Irwan BudionoAffiliation unknown5
Oktia Woro Kasmini HandayaniState University of Semarang5
Widya Hary CahyatiAffiliation unknown5
Ari YuniastutiState University of Semarang4
Tandiyo RahayuAffiliation unknown4
RR. Sri Ratna RahayuAffiliation unknown3
Arulita Ika FibrianaAffiliation unknown3
Widya Hari CahyatiAffiliation unknown3
Fitri IndrawatiAffiliation unknown2
Muhamad Zakki SaefurrohimAffiliation unknown2
Muhammad AzinarAffiliation unknown2
R SusantiAffiliation unknown2
Lukman FauziAffiliation unknown2
Alfiana Ainun NisaAffiliation unknown2
Nurul Dwi AstutiAffiliation unknown1
Nur RohmawatiAffiliation unknown1
Siswanti SiswantiAffiliation unknown1
Nur Lissa UtamiAffiliation unknown1
Erika PrihatiningsihAffiliation unknown1
Trinanda Agustina Sapta NingrumAffiliation unknown1
Muhammad Hakam ArifinAffiliation unknown1
Ina YulianaAffiliation unknown1
Nita SuryaningsihAffiliation unknown1
Meilinda Ayu SaputriAffiliation unknown1
Rezqy Laili MunthariAffiliation unknown1
Pangesty Tisna Wahyu NurcahyaniAffiliation unknown1
Ayu Tri IsmiatiAffiliation unknown1
Agita Kusuma DewiAffiliation unknown1
Astri FitrianaAffiliation unknown1
Lina ShofiyanahAffiliation unknown1
Dhita Aulia FerdianiAffiliation unknown1
Sugiharto SugihartoAffiliation unknown1
Imam SubhiAffiliation unknown1
Syahrina Nurul HikmahAffiliation unknown1
Amira Isnaini MahmudahAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/ujph/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (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>
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