Cargando…
Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China
OBJECTIVES: To investigate time trends of preterm birth and estimate the contributions of risk factors to the changes in preterm birth rates over a decade (2009–2018) of transitional period in Shenzhen, China. DESIGN: Retrospective cohort study between 2009 and 2018. SETTING: All births in Baoan dur...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577040/ https://www.ncbi.nlm.nih.gov/pubmed/33082182 http://dx.doi.org/10.1136/bmjopen-2020-037266 |
_version_ | 1783598131649183744 |
---|---|
author | Ma, Rui Luo, Yali Wang, Jun Zhou, Yanxia Sun, Haiyang Ren, Xi Xu, Quan Zhang, Lian Zou, Lingyun |
author_facet | Ma, Rui Luo, Yali Wang, Jun Zhou, Yanxia Sun, Haiyang Ren, Xi Xu, Quan Zhang, Lian Zou, Lingyun |
author_sort | Ma, Rui |
collection | PubMed |
description | OBJECTIVES: To investigate time trends of preterm birth and estimate the contributions of risk factors to the changes in preterm birth rates over a decade (2009–2018) of transitional period in Shenzhen, China. DESIGN: Retrospective cohort study between 2009 and 2018. SETTING: All births in Baoan during January 2009 and December 2018 registered in the Shenzhen Birth Registry Database. PARTICIPANTS: 478 044 live births were included with sociodemographic and medical records for both women and infants. OUTCOME MEASURES: The incidence rate of preterm birth stratified by different maternal and infant characteristics. Multiple logistic regression was used to identify significant risk factors associated with preterm birth. The population attributable risk fraction of each factor was calculated to estimate its contribution to variations of preterm birth rate over the 10 years. RESULTS: A total of 27 829 preterm births from 478 044 (5.8%) live births were recorded and the preterm birth rate increased from 5.5% in 2009 to 6.2% in 2018. Medically induced preterm birth rate increased from 2.0% in 2009 to 3.4% in 2018 while spontaneous preterm labour rate decreased from 3.3% to 2.7% over the decade years. Risk factors including multiple pregnancy (0.28% increase) drove the rise of preterm birth rate, whereas changes in maternal educational attainment (0.22% reduction) and prenatal care utilisation (0.45% reduction) had contributed to the decline in preterm birth rate. CONCLUSIONS: An uptrend of preterm birth rate was observed in an area under rapid sociodemographic transitions during 2009–2018 and the changes were associated with these sociodemographic transitions. Continued investments in girls’ education and prenatal care have the potential of reducing preterm birth rate. |
format | Online Article Text |
id | pubmed-7577040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75770402020-10-21 Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China Ma, Rui Luo, Yali Wang, Jun Zhou, Yanxia Sun, Haiyang Ren, Xi Xu, Quan Zhang, Lian Zou, Lingyun BMJ Open Epidemiology OBJECTIVES: To investigate time trends of preterm birth and estimate the contributions of risk factors to the changes in preterm birth rates over a decade (2009–2018) of transitional period in Shenzhen, China. DESIGN: Retrospective cohort study between 2009 and 2018. SETTING: All births in Baoan during January 2009 and December 2018 registered in the Shenzhen Birth Registry Database. PARTICIPANTS: 478 044 live births were included with sociodemographic and medical records for both women and infants. OUTCOME MEASURES: The incidence rate of preterm birth stratified by different maternal and infant characteristics. Multiple logistic regression was used to identify significant risk factors associated with preterm birth. The population attributable risk fraction of each factor was calculated to estimate its contribution to variations of preterm birth rate over the 10 years. RESULTS: A total of 27 829 preterm births from 478 044 (5.8%) live births were recorded and the preterm birth rate increased from 5.5% in 2009 to 6.2% in 2018. Medically induced preterm birth rate increased from 2.0% in 2009 to 3.4% in 2018 while spontaneous preterm labour rate decreased from 3.3% to 2.7% over the decade years. Risk factors including multiple pregnancy (0.28% increase) drove the rise of preterm birth rate, whereas changes in maternal educational attainment (0.22% reduction) and prenatal care utilisation (0.45% reduction) had contributed to the decline in preterm birth rate. CONCLUSIONS: An uptrend of preterm birth rate was observed in an area under rapid sociodemographic transitions during 2009–2018 and the changes were associated with these sociodemographic transitions. Continued investments in girls’ education and prenatal care have the potential of reducing preterm birth rate. BMJ Publishing Group 2020-10-20 /pmc/articles/PMC7577040/ /pubmed/33082182 http://dx.doi.org/10.1136/bmjopen-2020-037266 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Ma, Rui Luo, Yali Wang, Jun Zhou, Yanxia Sun, Haiyang Ren, Xi Xu, Quan Zhang, Lian Zou, Lingyun Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title | Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title_full | Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title_fullStr | Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title_full_unstemmed | Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title_short | Ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in Shenzhen, China |
title_sort | ten-year time trends in preterm birth during a sociodemographic transition period: a retrospective cohort study in shenzhen, china |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577040/ https://www.ncbi.nlm.nih.gov/pubmed/33082182 http://dx.doi.org/10.1136/bmjopen-2020-037266 |
work_keys_str_mv | AT marui tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT luoyali tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT wangjun tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT zhouyanxia tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT sunhaiyang tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT renxi tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT xuquan tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT zhanglian tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina AT zoulingyun tenyeartimetrendsinpretermbirthduringasociodemographictransitionperiodaretrospectivecohortstudyinshenzhenchina |