| dc.contributor.author | ['Puspitasari, Sepsiana', 'Hernayanti, Munica Rita', 'Lamawatu, Nuril F.', 'Wahyuningsih, Windu Syawalina'] | |
| dc.date.accessioned | 2026-02-05T02:11:41Z | |
| dc.date.available | 2026-02-05T02:11:41Z | |
| dc.date.issued | 2025-12-15 00:00:00 | |
| dc.identifier.issn | - | |
| dc.identifier.uri | https://jurnal.ugm.ac.id/jcoemph/article/view/98282 | |
| dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/55086 | |
| dc.description.abstract | Introduction: Pandemic Corona Virus Disease-19 (COVID-19) has passed, but social determinants severity of COVID-19 in pregnant women are still under report. Pregnant women have a higher risk of experiencing severe COVID-19 infection, with the potential for serious complications for maternal and fetal health. The impact of pregnancy planning towards severity of COVID-19 in pregnant women is still lack reported. Objective: this study conducted to determine social factors that predict COVID-19 with severe symptoms among pregnant women at Rumah Sakit Lapangan Khusus COVID-19 (RSLKC) in Yogyakarta Province, Indonesia.Method: through the case-control study, 99 pregnant women who had experienced COVID-19 between August 2021 and May 2022 and were treated at RSLKC self-reporting the retrospective data. Chi square test and path analysis were used for determining the relationship and the direction on the dependent variable, respectively.Results: severe symptoms of COVID-19 were experienced by pregnant who were not vaccinated (p=0.032), undergo daily physical work (p = 0.023) and undergo unplanned pregnancy (p=0.027). The three variables have a direct influence coefficient magnitude -2.62; 4.05; 2.12, respectively. Unplanned pregnancy is directly influenced by age >35 years and the number of children with coefficient magnitudes 2.81.; -1.69, respectively.Conclusion: Unplanned pregnancy is a potential social determinant of severe COVID-19 symptoms in pregnant women and other several factors such as vaccine status and physical work (as direct factors), as well as age > 35 years and number of children (as indirect factors that predict unplanned pregnancy). | |
| dc.format | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada | |
| dc.relation.uri | ['https://jurnal.ugm.ac.id/jcoemph/article/view/98282/43035', 'https://jurnal.ugm.ac.id/jcoemph/article/downloadSuppFile/98282/33830', 'https://jurnal.ugm.ac.id/jcoemph/article/downloadSuppFile/98282/33831'] | |
| dc.rights | ['Copyright (c) 2025 Journal of Community Empowerment for Health', 'http://creativecommons.org/licenses/by-sa/4.0'] | |
| dc.subject | COVID-19; severity; pregnant women; unplanned pregnancy; RSLKC. | |
| dc.title | Unplanned pregnancy as a social predictor of COVID-19 severity among pregnant women in Yogyakarta: Study of path analysis | |
| dc.type | Article | |
| dc.identifier.oai | oai:jurnal.ugm.ac.id:article/98282 | |
| dc.journal.info | ['Journal of Community Empowerment for Health; Vol 8, No 3 (2025); 143-148', '2655-0164', '2654-8283'] | |
