{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T19:19:27Z","timestamp":1787771967628,"version":"build-2784847793"},"reference-count":18,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>\n                    A\n                    <jats:sc>BSTRACT<\/jats:sc>\n                  <\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>In the past five years, observational evidence suggests that the rates and determinants of preterm birth may have changed due to the effect of the coronavirus disease 2019 (COVID-19) pandemic and other humanitarian crises in our environment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>This study aimed to determine the incidence, associated factors, and outcomes of preterm birth in tertiary hospitals in Enugu, southeastern Nigeria.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This cross-sectional study included 238 pregnant women from the University of Nigeria Teaching Hospital (UNTH), Enugu State University of Science and Technology Teaching Hospital (ESUT-TH) Parklane, and Mother of Christ Specialist Hospital (MOCSH), Enugu, from April 2022 to March 2023. Eligible and consenting participants were recruited from 28\u201336 weeks +6 days of gestational age and followed up until delivery. Relevant outcome variables, such as sociodemographic characteristics, gestational age at delivery, and pregnancy outcomes, were recorded in a pro forma. These data were analyzed using IBM Statistical Package for the Social Sciences (SPSS) statistics for Windows, version 22.0, Armonk, NY: IBM Corp.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The incidence of preterm birth was 16.6% (37\/223), with spontaneous preterm birth constituting 24 of 37 (64.5%) cases.\n                      <jats:italic toggle=\"yes\">The mean age of participants was 30.3 \u00b1 4.8 years<\/jats:italic>\n                      . Advanced maternal age (&gt;35 years) (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.01, adjusted odds ratio (AOR) =0.01, confidence interval (CI): 0.00\u20130.144), low socioeconomic status (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.04, AOR = 0.40, CI: 0.11\u20131.46), and history of miscarriage (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.02, AOR = 0.06, CI: 0.01\u20130.59) were the factors associated with spontaneous preterm birth. Neonatal death occurred in 21.6% (8\/37) of cases within the first 24 hours. Rates of cesarean section and low birth weight were 73% (27\/37) each.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The incidence of preterm birth is high in Enugu, and associated factors were advanced maternal age, low socioeconomic status, and a history of miscarriage.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/njcp.njcp_634_23","type":"journal-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T23:00:09Z","timestamp":1708988409000},"page":"228-235","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Incidence, Determinants, and Outcomes of Spontaneous Preterm Birth at Tertiary Hospitals in Enugu, Southeast, Nigeria: A Cross-Sectional Study"],"prefix":"10.4103","volume":"27","author":[{"given":"JE","family":"Nnagbo","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology, University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu State, Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"GO","family":"Ugwu","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, College of Medicine, University of Nigeria, University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu, Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"MI","family":"Eze","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, College of Medicine, University of Nigeria, University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu, Nigeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"PU","family":"Agu","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, 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