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Social Demographic Factors in High-Risk Pregnancy: Analysis of Indonesian Health Survey Data 2023

Journal of Creativity Student · Vol. 8 No. 2 (2025) · pp. 207–216

DOI
10.15294/jcs.v8i2.27145
ISSN
2502-1958, 2962-603X
Published
2025-07-28
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

High-risk pregnancy is a condition that can negatively impact the health of both the mother and the fetus. Social and demographic factors such as maternal age, educational level, economic status, employment, and place of residence contribute to pregnancy risk levels. Indonesia continues to experience a high maternal mortality rate (MMR), necessitating an in-depth analysis of the social determinants affecting high-risk pregnancies. This study employs a cross-sectional design and utilizes secondary data from the 2023 Indonesian Health Survey (SKI). The study sample consists of 46,699 pregnant women from 38 provinces across Indonesia. The independent variables include maternal age, education, employment, economic status, and place of residence, while the dependent variable is high-risk pregnancy. Data analysis was conducted using the chi-square test to identify associations between social determinants and pregnancy risk. The findings indicate that 15.4% of pregnant women experience risk factors in their pregnancy. Significant social factors associated with high-risk pregnancy include maternal age, education level, employment, place of residence, and economic status (p 35 years) are at higher risk. Women with low education levels, unemployment, and lower economic status are also more vulnerable to high-risk pregnancies. High-risk pregnancy is influenced by various social and demographic factors. Therefore, inclusive health policies are needed to improve maternal healthcare access, especially for high-risk groups. Health education programs on reproductive health and increased access to prenatal healthcare services can help reduce the prevalence of high-risk pregnancies in Indonesia.

Keywords

Collaboration network of the authors

40 authors · 113 co-authorship links · showing the 40 most connected

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  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
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Show as table
Co-authorOrganisationJoint articles
Dina Nur Anggraini NingrumAffiliation unknown7
Intan ZainafreeAffiliation unknown6
Ari YuniastutiState University of Semarang6
Yuni WijayantiAffiliation unknown5
Irwan BudionoAffiliation unknown4
Evi WidowatiAffiliation unknown4
Mahalul AzamAffiliation unknown4
Nur SiyamAffiliation unknown3
Puput EdiyarsariAffiliation unknown3
Setya RahayuAffiliation unknown3
Tandiyo RahayuAffiliation unknown3
Sri Ratna RahayuAffiliation unknown3
Sofwan IndarjoState University of Semarang3
Eko FaridaAffiliation unknown3
Wandah WibawantoAffiliation unknown2
Natalia Desy PutriningtyasAffiliation unknown2
Margareta RahayuningsihAffiliation unknown2
Russiska RussiskaAffiliation unknown2
Hanif Pandu SuhitoAffiliation unknown2
Vilda Ana Veria SetyawatiAffiliation unknown2
Casmuti CasmutiAffiliation unknown2
Alfiana Ainun NisaAffiliation unknown2
‪Eram Tunggul Pawenang‬State University of Semarang2
Janu PurwonoState University of Semarang1
Irwan BudionoState University of Semarang1
Ika UtamiAffiliation unknown1
Tri Septa AnggrainiAffiliation unknown1
Shefi UmiasihAffiliation unknown1
Arum SiwiendrayantiState University of Semarang1
Siti Ainun NadhirohAffiliation unknown1
Ni'mal MunaAffiliation unknown1
Nurfitriani NurfitrianiAffiliation unknown1
Febriana Maya ZulfiariniAffiliation unknown1
Mirnawati MirnawatiAffiliation unknown1
Merlinda Permata SariAffiliation unknown1
Trisna Hani FauziahAffiliation unknown1
Tika MaelaniAffiliation 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/journals/jcs/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Social Demographic Factors in High-Risk Pregnancy: Analysis of Indonesian Health Survey Data 2023</dc:title>
	<dc:creator xml:lang="en">Suksesty, Catur Erty</dc:creator>
	<dc:creator xml:lang="en">Cahyati , Widya Hary </dc:creator>
	<dc:creator xml:lang="en">Handayani, Oktia Woro Kasmini </dc:creator>
	<dc:subject xml:lang="en">high-risk pregnancy, social determinants, maternal health, Indonesian Health Survey</dc:subject>
	<dc:description xml:lang="en">High-risk pregnancy is a condition that can negatively impact the health of both the mother and the fetus. Social and demographic factors such as maternal age, educational level, economic status, employment, and place of residence contribute to pregnancy risk levels. Indonesia continues to experience a high maternal mortality rate (MMR), necessitating an in-depth analysis of the social determinants affecting high-risk pregnancies. This study employs a cross-sectional design and utilizes secondary data from the 2023 Indonesian Health Survey (SKI). The study sample consists of 46,699 pregnant women from 38 provinces across Indonesia. The independent variables include maternal age, education, employment, economic status, and place of residence, while the dependent variable is high-risk pregnancy. Data analysis was conducted using the chi-square test to identify associations between social determinants and pregnancy risk. The findings indicate that 15.4% of pregnant women experience risk factors in their pregnancy. Significant social factors associated with high-risk pregnancy include maternal age, education level, employment, place of residence, and economic status (p &amp;lt; 0.05). Adolescent mothers (aged 10–19 years) and older mothers (&amp;gt;35 years) are at higher risk. Women with low education levels, unemployment, and lower economic status are also more vulnerable to high-risk pregnancies. High-risk pregnancy is influenced by various social and demographic factors. Therefore, inclusive health policies are needed to improve maternal healthcare access, especially for high-risk groups. Health education programs on reproductive health and increased access to prenatal healthcare services can help reduce the prevalence of high-risk pregnancies in Indonesia.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-07-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jcs/article/view/27145</dc:identifier>
	<dc:identifier>10.15294/jcs.v8i2.27145</dc:identifier>
	<dc:source xml:lang="en">Journal of Creativity Student; Vol. 8 No. 2 (2025); 207-216</dc:source>
	<dc:source>2502-1958</dc:source>
	<dc:source>2962-603X</dc:source>
	<dc:source>10.15294/jcs.v8i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jcs/article/view/27145/5292</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Journal of Creativity Student</dc:rights>
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