Evidence map›Paper›PMID 39390407›Full record

Observational studyBMC pregnancy and childbirth2024

Secular variation and risk factors of preterm birth in Hainan, the Free Trade Port in China from 2010 to 2021.

Qing Luo, Weijia Wu, Chao Li, Anping Zhao, Dan Zhao, Chuican Huang, Lichun Fan

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qing Luo *Hainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Weijia Wu *Hainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Chao Li *Hainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Anping ZhaoInternational School of Public Health and One Health, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Dan ZhaoHainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Chuican HuangHainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China.
Lichun FanHainan Women and Children's Medical Center, School of Pediatrics, Hainan Medical University, Hainan Academy of Medical Sciences, Haikou, China. flc007@hainmc.edu.cn.

Funding

Excellent Talent Team of Hainan Province QRCBT202121Hainan Major Science and Technology Projects ZDKJ2019010Hainan Province Clinical Medical Center QWYH202175Hainan Provincial Natural Science Foundation of China 821QN415
6 · The paper itself

Abstract

objectivesPreterm delivery rates have increased obviously worldwide over the past decade, yet reliable epidemiological studies on the incidence of preterm birth and temporal trends are not available in Hainan, The Free Trade Port in China. We aimed to describe the rate of preterm birth and trends between 2010 and 2021 and to primarily explore risk factors associated with preterm birth in Hainan, China.

methodsThis was an observational study was based on data from the Hainan Provincial Birth Certificate System (HPBCS) for live births between 1 January 2010 and 31 December 2021. We included pregnancies resulting in at least one live birth, with newborns born at a gestational age of 28 weeks or greater, or with a birth weight of 1000 g or more. The outcome were preterm birth rates and their trends over time. Potential risk factors were collected, including infant gender, maternal age, paternal age, maternal ethnicity, paternal ethnicity, home address, and single or multiple pregnancies. The logistic regression model was used to assess the relationship between preterm birth and potential risk factors.

resultsA total of 1,537,239 live births and 86,328 preterm births were investigated, giving a total preterm birth rate of 5.62%. The overall preterm birth rate increased from 4.47% in 2010 to 7.12% in 2021 (compound annual growth rate [CAGR] 4.32). The CAGR of late preterm birth is consistent with the overall preterm birth rate (4.32%). The fastest growth is observed in the rate of very preterm births (5.53%), while the rate of moderate preterm births exhibits the slowest growth (3.87%). Infant gender, multiple pregnancy, home address, parental age, and ethnicity had significant effects on preterm birth.

conclusionThe preterm birth rate was increasing year by year from 2010 to 2021 in Hainan, The Free Trade Port in China. Incidence of preterm births in Hainan Province in relation to multiple pregnancies, infant sex, parental age, parental race and residential address.

Indexed as

Premature BirthAdultChinaFemaleGestational AgeHumansIncidenceInfant, NewbornMaleMaternal AgePregnancyPregnancy, MultipleRisk FactorsYoung AdultChinaInfantPreterm birthRisk factorsThe Free Trade Port

Identifiers

PMID39390407
PMCPMC11468206

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Registered trials

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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.