TEMPORAL PATTERNS IN PRETERM BIRTH RATES IN THE UNITED STATES (2016-2023): A TIME SERIES ANALYSIS
| dc.contributor.advisor | Beyene, Joseph | |
| dc.contributor.author | Samarasinghe, Yasith | |
| dc.contributor.department | Health Research Methodology | en_US |
| dc.date.accessioned | 2025-09-24T19:22:18Z | |
| dc.date.available | 2025-09-24T19:22:18Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Background: Preterm birth is a leading cause of neonatal morbidity and mortality worldwide. Despite medical advancements, the United States (U.S.) has seen a rise in preterm birth rates. Few studies have examined the underlying causes of this trend. The objectives of this thesis were to examine temporal trends of preterm birth rates in the U.S using time series methods. Methods: A time series analysis was conducted using U.S. National Vital Statistics System Natality data from 2016 to 2023, restricted to singleton live births among nulliparous individuals. Monthly preterm birth rates (per 1,000 live births) were calculated, including subcategories: extremely, very, and moderate-to-late preterm. Subgroup analyses were performed for maternal, paternal, and delivery characteristics. To assess the impact of COVID-19, an interrupted time series analysis was applied, with the COVID-19 pandemic onset (March 11, 2020) and the Delta variant emergence (June 1, 2021) as intervention points. Results: A total of 9,169,343 live births were included. The preterm birth rate increased from 92.5 to 102.5 between 2016 and 2023. Time series analysis revealed strong seasonality, with peak rates in June (median=101.238, interquartile range (IQR): [97.186, 102.779]) and troughs in September (median=89.135, IQR: [87.023, 91.198]). Subgroup analyses showed disproportionately higher monthly preterm birth rate increases among older mothers (Slope: 0.248/month, p<0.001), smokers (Slope: 0.444/month, p<0.001), and older fathers (Slope: 0.235/month, p<0.001). Rates among immigrant mothers rose sharply, particularly among Black (Slope: 0.190/month, p=0.007) and Asian immigrants (Slope: 0.190/month, p=0.001). Conclusion: Preterm birth rates in the U.S. increased from 2016 to 2023, with growing disparities among certain groups such as immigrant mothers, smokers, and socioeconomically disadvantaged populations. Targeted public health efforts and continued monitoring are needed to reverse these patterns and improve perinatal health outcomes. | en_US |
| dc.description.degree | Master of Public Health (MPH) | en_US |
| dc.description.degreetype | Thesis | en_US |
| dc.description.layabstract | Preterm birth affects about 1 in 10 babies worldwide and is a major cause of health problems in newborns. In the United States, preterm birth rates have increased by 12 percent since 2014. This study examined national birth records from 2016 to 2023 to understand these trends and predict future patterns. Results showed that preterm birth rates rose from 92.5 to 102.5 per 1,000 live births, with the highest rates in the summer. Certain groups had especially high and rising rates, including older mothers, smokers, individuals with obesity or high blood pressure, and those using fertility treatments. Mothers who were on Medicaid, lacked prenatal care, or participated in nutrition assistance programs were also more affected. Immigrant mothers, particularly Black and Asian immigrants, saw a large rate increase. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/32403 | |
| dc.language.iso | en | en_US |
| dc.subject | preterm birth | en_US |
| dc.subject | united states | en_US |
| dc.subject | time series | en_US |
| dc.title | TEMPORAL PATTERNS IN PRETERM BIRTH RATES IN THE UNITED STATES (2016-2023): A TIME SERIES ANALYSIS | en_US |
| dc.type | Thesis | en_US |