{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T05:31:19Z","timestamp":1790573479534,"version":"4.1.0"},"reference-count":30,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T00:00:00Z","timestamp":1756771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["f1000research.com"],"crossmark-restriction":false},"short-container-title":["F1000Res"],"abstract":"<ns3:p>Background Maternal and neonatal mortality remain significant global challenges, with 287,000 pregnancy-related deaths in 2020 and a neonatal mortality rate of 17 per 1,000 live births in 2019. Preconception care (PCC) can mitigate these outcomes, yet low uptake persists. Unintended pregnancies and risky preconception behaviors (e.g., smoking, poor folic acid intake) exacerbate health disparities, underscoring the need to understand determinants of PCC knowledge, attitudes, and practices (KAP). Methods This systematic review and meta-analysis examined the determinants of KAP regarding PCC among women of reproductive age. Following PRISMA guidelines, we analyzed studies from PubMed and ScienceDirect, retrieved between January and March 2025. The study protocol was registered in PROSPERO (CRD42025637031). Results This systematic review and meta-analysis included 13 observational studies assessing preconception care (PCC) knowledge, attitudes, and practices. The analysis revealed that higher education levels (AOR=28.55, p&lt;0.00001), multiparity (AOR=2.91, p=0.02), prior PCC training (AOR=13.47, p&lt;0.00001), contraceptive history (AOR=5.05, p&lt;0.00001), and workplace library access (AOR=4.26, p&lt;0.00001) significantly enhanced PCC knowledge. For PCC attitudes, older age (&gt;35 years, AOR=8.73, p&lt;0.00001) and higher education (AOR=5.51, p=0.007) were strong predictors. Regarding PCC behaviors, key determinants included older age (AOR=3.16, p&lt;0.0001), positive attitudes (AOR=2.96, p&lt;0.0001), higher education (AOR=2.49, p&lt;0.00001), and prior counseling (AOR=11.29, p&lt;0.00001). Substantial heterogeneity was observed for some associations, but overall effects remained significant. Conclusions These findings highlight that education, age, healthcare access, and prior PCC engagement are critical factors influencing PCC outcomes. Interventions targeting these determinants could improve preconception care uptake and maternal health outcomes.<\/ns3:p>","DOI":"10.12688\/f1000research.167200.1","type":"journal-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T15:55:07Z","timestamp":1756828507000},"page":"860","update-policy":"https:\/\/doi.org\/10.12688\/f1000research.crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["What Influences Women\u2019s Knowledge, Attitudes, and Practices Toward Preconception Care? A Systematic Review and Meta-Analysis"],"prefix":"10.12688","volume":"14","author":[{"given":"Noor","family":"Hidayah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oktia","family":"Woro Kasmini H","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ari","family":"Yuniastuti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dina","family":"Nur Anggraini Ningrum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7802-1328","authenticated-orcid":false,"given":"Faizul","family":"Hasan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2560","published-online":{"date-parts":[[2025,9,2]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e0261895","DOI":"10.1371\/journal.pone.0261895","article-title":"Utilization of preconception care and associated factors in Hosanna Town, Southern Ethiopia.","volume":"17","author":"M Wegene","year":"2022","journal-title":"PloS one."},{"key":"ref3","doi-asserted-by":"publisher","first-page":"106-115","DOI":"10.1016\/S2352-4642(21)00311-4","article-title":"Global, regional, and national causes of under-5 mortality in 2000\u201319: an updated systematic analysis with implications for the Sustainable Development Goals.","volume":"6","author":"J Perin","year":"2022","journal-title":"The Lancet Child & Adolescent Health."},{"key":"ref4","doi-asserted-by":"publisher","first-page":"e306-e316","DOI":"10.1016\/S2214-109X(23)00468-0","article-title":"A global analysis of the determinants of maternal health and transitions in maternal mortality.","volume":"12","author":"J Souza","year":"2024","journal-title":"Lancet Glob. 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