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Predictors of Prediabetes Among Young Adults in East Java of Indonesia: A Cross-sectional Study

Nurse Media Journal of Nursing · Vol. 14 No. 2 (2024) · hlm. 294–306

DOI
10.14710/nmjn.v14i2.56904
ISSN
2406-8799, 2087-7811
Terbit
2024-08-31
Penerbit
Department of Nursing, Faculty of Medicine, Universitas Diponegoro
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Background: Prediabetes is a condition that can be controlled and managed to prevent the occurrence of type 2 diabetes mellitus (T2DM). This condition can occur at all ages, especially in young adults. However, little is known about what factors increase the risk of prediabetes in young adults in East Java, Indonesia.Purpose: This study aimed to estimate the prevalence and the influential risk factors of prediabetes among young adults in East Java, Indonesia.Methods: This study used a cross-sectional design. The purposive sampling technique was used to recruit young adults in East Java Province, Indonesia. International physical activity questionnaire short-form version questionnaire (IPAQ-SF) and physical indicators for anthropometry were used to obtain data on sociodemographic characteristics, prediabetes knowledge, and physical activity. In addition, blood pressure, impaired fasting glucose (IFG), and body mass index (BMI) were measured. Multivariable logistic regression was employed in the analysis to determine risk factors associated with prediabetes.Results: There were 126 participants recruited, with 69 (54.8%) having prediabetes based on IFG levels. Age (p=0.035), regular exercise (p=0.015), activity level (p=0.026), body weight (p=<0.001), waist circumference (p=0.002), BMI (p=<0.001) and obesity (p=<0.001) were significant factors associated with prediabetes.Conclusion: The high prevalence of prediabetes in young adults is associated with age, routine exercise, activity level, body weight, waist circumference, BMI and obesity. It is crucial to implement strategies, such as regular IFG testing, to identify young adults with these risk factors for prediabetes screening.

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  • Universitas Airlangga
  • Universitas Karya Husada Semarang
  • Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
  • Universitas Wiraraja
  • Kaohsiung Medical University
  • Universitas Muhammadiyah Surabaya
  • Universitas Gadjah Mada
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Rekan penulisOrganisasiArtikel bersama
Diah PriyantiniUniversitas Muhammadiyah Surabaya6
Tintin SukartiniUniversitas Airlangga6
Kusnanto KusnantoUniversitas Airlangga5
Ah YusufUniversitas Airlangga4
Nursalam NursalamUniversitas Airlangga3
Elsi Dwi HapsariUniversitas Gadjah Mada3
Dita Dwi OktavUniversitas Airlangga3
Erna Dwi WahyuniUniversitas Airlangga3
Nor Aziyan YahayaUniversity of Malaya3
Erna MelastutiSultan Agung Islamic University2
Dwi Indah IswantiUniversitas Karya Husada Semarang2
Harmayetty HarmayettyUniversitas Airlangga2
Ardhiles Wahyu KurniawanInstitut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW2
Rr Dian TristianaUniversitas Airlangga2
Lailatun Ni'mahAfiliasi tidak diketahui1
Abu BakarUniversitas Airlangga1
Merryana AdrianiUniversitas Airlangga1
Laily HidayatiUniversitas Airlangga1
Siti Nur QomariahUniversitas Gresik1
Umi HaniUniversitas Karya Husada Semarang1
Fery Agusman Motuho MendrofaUniversitas Karya Husada Semarang1
Rizki Fitryasari P.K.Universitas Airlangga1
Yuni Sufyanti AriefUniversitas Airlangga1
Apriyani Puji HastutiInstitut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW1
Ratna RoesardhyatiInstitut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW1
Elyk Dwi MumpuningtiasUniversitas Wiraraja1
Syaifurrahman HidayatUniversitas Wiraraja1
Nurul Hikmatul QowiUniversitas Muhammadiyah Lamongan1
Tri Johan Agus YuswantoPoltekkes Kemenkes Malang1
Ferry EfendiUniversitas Airlangga1
Retno IndarwatiUniversitas Airlangga1
Novianti LailiahUniversitas Airlangga1
Erika Untari DewiAfiliasi tidak diketahui1
Ni Putu WidariAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ejournal.undip.ac.id/index.php/medianers/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 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">Predictors of Prediabetes Among Young Adults in East Java of Indonesia: A Cross-sectional Study</dc:title>
	<dc:creator>Pratiwi, Ika Nur</dc:creator>
	<dc:creator>Widyawati, Ika Yuni</dc:creator>
	<dc:creator>Nursalam, Nursalam</dc:creator>
	<dc:creator>Pawanis, Zulfayandi</dc:creator>
	<dc:creator>Qonaah, Arina</dc:creator>
	<dc:creator>Lee, Bih-O</dc:creator>
	<dc:subject xml:lang="en-US">Age; diabetes; health risk; prevalence; young adult</dc:subject>
	<dc:description xml:lang="en-US">Background: Prediabetes is a condition that can be controlled and managed to prevent the occurrence of type 2 diabetes mellitus (T2DM). This condition can occur at all ages, especially in young adults. However, little is known about what factors increase the risk of prediabetes in young adults in East Java, Indonesia.Purpose: This study aimed to estimate the prevalence and the influential risk factors of prediabetes among young adults in East Java, Indonesia.Methods: This study used a cross-sectional design. The purposive sampling technique was used to recruit young adults in East Java Province, Indonesia. International physical activity questionnaire short-form version questionnaire (IPAQ-SF) and physical indicators for anthropometry were used to obtain data on sociodemographic characteristics, prediabetes knowledge, and physical activity. In addition, blood pressure, impaired fasting glucose (IFG), and body mass index (BMI) were measured. Multivariable logistic regression was employed in the analysis to determine risk factors associated with prediabetes.Results: There were 126 participants recruited, with 69 (54.8%) having prediabetes based on IFG levels. Age (p=0.035), regular exercise (p=0.015), activity level (p=0.026), body weight (p=&lt;0.001), waist circumference (p=0.002), BMI (p=&lt;0.001) and obesity (p=&lt;0.001) were significant factors associated with prediabetes.Conclusion: The high prevalence of prediabetes in young adults is associated with age, routine exercise, activity level, body weight, waist circumference, BMI and obesity. It is crucial to implement strategies, such as regular IFG testing, to identify young adults with these risk factors for prediabetes screening.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Nursing, Faculty of Medicine, Universitas Diponegoro</dc:publisher>
	<dc:date>2024-08-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/medianers/article/view/56904</dc:identifier>
	<dc:identifier>10.14710/nmjn.v14i2.56904</dc:identifier>
	<dc:source xml:lang="en-US">Nurse Media Journal of Nursing; Vol 14, No 2 (2024): (August 2024); 294-306</dc:source>
	<dc:source>2406-8799</dc:source>
	<dc:source>2087-7811</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/medianers/article/view/56904/27191</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 by the Authors, Published by Department of Nursing, Faculty of Medicine, Universitas Diponegoro</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>