ArticleBMC pregnancy and childbirth2025
Time series and factors associated with prematurity in live births in curitiba, brazil: time series analysis between the years 2000 and 2021.
Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrematurity stands as the primary cause of mortality among children under the age of five globally, defined as childbirth occurring before the completion of the 37th week of pregnancy. The study aims to examine the historical prevalence and temporal trend of prematurity in Curitiba (PR) from 2000 to 2021, considering factors associated with the mother, child, and pregnancy.
methodsThis quantitative, descriptive, and analytical study employs a time series approach, utilizing data from the "COOSMIC - Curitiba Maternal and Child Health Cohort" study conducted by the Pontifical Catholic University of Paraná in collaboration with the Curitiba Municipal Health Department. Data sourced from the Live Birth Information System (SINASC) focuses on variables including baby's sex, mother's age, schooling, and marital status, gestational age at delivery, single or multiple pregnancies, and prenatal care. In the first stage, prematurity serves as the dependent variable, while characteristics associated with the mother, child, and pregnancy are treated as independent variables over time/year using the Prais-Winsten regression model. In the second stage, the Poisson Regression model examines the association between Social Determinants of Health (SDH) and preterm births.
resultsThe analysis reveals an increasing trend in the prevalence of preterm births, with an Annual Significant Rate (ASR) of 2.4% (95%CI = 1.8; 3.0). Rising trends are observed across all stratifications examined, except for women lacking prenatal care visits.
conclusionDespite the initial low historical prevalence, an upward trend in prematurity is observed. Factors such as maternal age, schooling, marital status, gestational history, and prenatal care are identified as associated factors, highlighting the necessity for targeted interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.