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Risk factors associated with metabolic syndrome in older people in slum areas: a cross-sectional study

Jurnal Ners · Vol. 20 No. 4 (2025) · hlm. 408–416

DOI
10.20473/jn.v20i4.66748
ISSN
2502-5791, 1858-3598
Terbit
2025-11-30
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Introduction: Older people are at high risk of metabolic syndrome (MetS), non-communicable diseases, and mortality. This makes it difficult for older people in slum areas to achieve healthy and productive quality of life (QOL). In Indonesia, a developing country with a significant and growing number of slum areas, research on this issue remains scarce. This study aimed to analyze the risk factors that play a role in the incidence of MetS in older people living in slum areas. Methods: This was a cross-sectional study. The participants were male and female residents aged ≥45 years, with a total sample size of 150. The participants were selected through simple random sampling from a list of older people. Data analysis was performed using the chi-squared test for bivariate analysis and binary logistic regression for multivariate analysis. Results: The majority of the participants were female (62%), aged between 60-74 years (53.33%), with low-level education (86%), nutritional status in the overweight and obese categories (41.4%), and residence duration <5 years (70%). There was a significant association between district (p < 0.001) and body mass index (BMI) (p < 0.001) with MetS. Overweight participants were more likely to have MetS (AOR 3.75; 95%CI, 1.37-10.24), and the risk was higher among those with obesity (AOR 11.85; 95%CI, 3.90-35.97). Conclusions: The risk of MetS in slum dwellers is higher if they are overweight or obese. Periodic evaluation of body weight can help to control the incidence of MetS.

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  • Universitas PGRI Madiun
  • Universitas Gadjah Mada
  • National Research and Innovation Agency
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Agung Dwi LaksonoAfiliasi tidak diketahui7
Afi NursafingiAfiliasi tidak diketahui4
Ratna Dwi WulandariAfiliasi tidak diketahui3
Hastin Dyah KusumawardaniAfiliasi tidak diketahui3
Leny LatifahAfiliasi tidak diketahui3
Utami UtamiAfiliasi tidak diketahui3
Sri AnardaniUniversitas PGRI Madiun1
Dimas SetiawanUniversitas PGRI Madiun1
Digna Niken PurwaningrumUniversitas Gadjah Mada1
Lutfan LazuardiUniversitas Gadjah Mada1
Sapto WibowoAfiliasi tidak diketahui1
Heryanto Nur MuhammadAfiliasi tidak diketahui1
Noortje Anita KumaatAfiliasi tidak diketahui1
Nur Ahmad AriefAfiliasi tidak diketahui1
Sri WicahyaniAfiliasi tidak diketahui1
UtamiAfiliasi tidak diketahui1
Amir AliAfiliasi tidak diketahui1
Eka Wilda FaidaAfiliasi tidak diketahui1
Rani JayantiAfiliasi tidak diketahui1
Amelia Amanda VerawatiAfiliasi tidak diketahui1
Tiwi Widya LestariAfiliasi tidak diketahui1
Mukhammad Aqmal AzisAfiliasi tidak diketahui1
Rispalman RispalmanAfiliasi tidak diketahui1
Jamhuri UngelAfiliasi tidak diketahui1
Mirza Hapsari Sakti Titis PenggalihAfiliasi tidak diketahui1
Weni KurdantiAfiliasi tidak diketahui1
Nastiti WijayantiAfiliasi tidak diketahui1
Aris HaryantoAfiliasi tidak diketahui1
Retno MurwantiAfiliasi tidak diketahui1
Dewi Kartikawati ParamitaAfiliasi tidak diketahui1
Dyah WidiastutiAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://e-journal.unair.ac.id/index.php/JNERS/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Risk factors associated with metabolic syndrome in older people in slum areas: a cross-sectional study</dc:title>
	<dc:creator>Supadmi, Sri</dc:creator>
	<dc:creator>Khairunnisa, Marizka</dc:creator>
	<dc:creator>Kusrini, Ina</dc:creator>
	<dc:creator>Wijanarka, Agus</dc:creator>
	<dc:creator>Kuntari, Titik</dc:creator>
	<dc:creator>Purwoko, Sidiq</dc:creator>
	<dc:creator>Hidayat, Taufiq</dc:creator>
	<dc:creator>Suwarno, Tri</dc:creator>
	<dc:creator>Riyanto, Slamet</dc:creator>
	<dc:description xml:lang="en-US">Introduction: Older people are at high risk of metabolic syndrome (MetS), non-communicable diseases, and mortality. This makes it difficult for older people in slum areas to achieve healthy and productive quality of life (QOL). In Indonesia, a developing country with a significant and growing number of slum areas, research on this issue remains scarce.  This study aimed to analyze the risk factors that play a role in the incidence of MetS in older people living in slum areas.
Methods: This was a cross-sectional study. The participants were male and female residents aged ≥45 years, with a total sample size of 150. The participants were selected through simple random sampling from a list of older people. Data analysis was performed using the chi-squared test for bivariate analysis and binary logistic regression for multivariate analysis.
Results: The majority of the participants were female (62%), aged between 60-74 years (53.33%), with low-level education (86%), nutritional status in the overweight and obese categories (41.4%), and residence duration &amp;lt;5 years (70%). There was a significant association between district (p &amp;lt; 0.001) and body mass index (BMI) (p &amp;lt; 0.001) with MetS. Overweight participants were more likely to have MetS (AOR 3.75; 95%CI, 1.37-10.24), and the risk was higher among those with obesity (AOR 11.85; 95%CI, 3.90-35.97).
Conclusions: The risk of MetS in slum dwellers is higher if they are overweight or obese. Periodic evaluation of body weight can help to control the incidence of MetS.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2025-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>text/xml</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JNERS/article/view/66748</dc:identifier>
	<dc:identifier>10.20473/jn.v20i4.66748</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ners; Vol. 20 No. 4 (2025): VOLUME 20 ISSUE 4 (NOVEMBER 2025); 408-416</dc:source>
	<dc:source>2502-5791</dc:source>
	<dc:source>1858-3598</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/66748/35180</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/66748/34767</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Jurnal Ners</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>