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The current situation and future directions for the study on time-to-pregnancy: a scoping review
INTRODUCTION: As problems associated with infertility and population aging increase, there is a growing interest in the factors that cause a decline in human fertility. Time-to-pregnancy (TTP) is a good indicator with which to reflect human fecundability. Here, we present a comprehensive overview of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233796/ https://www.ncbi.nlm.nih.gov/pubmed/35752834 http://dx.doi.org/10.1186/s12978-022-01450-6 |
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author | Hong, Xiang Yin, Jiechen Wang, Wei Zhao, Fanqi Yu, Hong Wang, Bei |
author_facet | Hong, Xiang Yin, Jiechen Wang, Wei Zhao, Fanqi Yu, Hong Wang, Bei |
author_sort | Hong, Xiang |
collection | PubMed |
description | INTRODUCTION: As problems associated with infertility and population aging increase, there is a growing interest in the factors that cause a decline in human fertility. Time-to-pregnancy (TTP) is a good indicator with which to reflect human fecundability. Here, we present a comprehensive overview of this topic. METHODS: Relevant qualitative and quantitative studies were identified by searching the Web of science and PubMed electronic databases. We included all literature, written in English, from inception to the 10th April 2021 providing the focus was on TTP. We conducted a narrative synthesis using thematic analysis. RESULTS: Traditional TTP-related study protocols include prospective and retrospective cohorts that provide a wealth of data to reveal potential influences on TTP. Thus far, a variety of factors have been shown to be associated with TTP in couples preparing for pregnancy, including basic demographic characteristics, menstrual status, chronic disease status, environmental endocrine disruptor exposure, and lifestyles. However, there are inevitable epidemiological bias in the existing studies, including recall bias, selection bias and measurement bias. Some methodological advances have brought new opportunities to TTP research, which make it possible to develop precision interventions for population fertility. Future TTP studies should take advantage of artificial intelligence, machine learning, and high-throughput sequencing technologies, and apply medical big data to fully consider and avoid possible bias in the design. CONCLUSION: There are many opportunities and future challenges for TTP related studies which would provide a scientific basis for the “precise health management” of the population preparing for pregnancy. |
format | Online Article Text |
id | pubmed-9233796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92337962022-06-27 The current situation and future directions for the study on time-to-pregnancy: a scoping review Hong, Xiang Yin, Jiechen Wang, Wei Zhao, Fanqi Yu, Hong Wang, Bei Reprod Health Review INTRODUCTION: As problems associated with infertility and population aging increase, there is a growing interest in the factors that cause a decline in human fertility. Time-to-pregnancy (TTP) is a good indicator with which to reflect human fecundability. Here, we present a comprehensive overview of this topic. METHODS: Relevant qualitative and quantitative studies were identified by searching the Web of science and PubMed electronic databases. We included all literature, written in English, from inception to the 10th April 2021 providing the focus was on TTP. We conducted a narrative synthesis using thematic analysis. RESULTS: Traditional TTP-related study protocols include prospective and retrospective cohorts that provide a wealth of data to reveal potential influences on TTP. Thus far, a variety of factors have been shown to be associated with TTP in couples preparing for pregnancy, including basic demographic characteristics, menstrual status, chronic disease status, environmental endocrine disruptor exposure, and lifestyles. However, there are inevitable epidemiological bias in the existing studies, including recall bias, selection bias and measurement bias. Some methodological advances have brought new opportunities to TTP research, which make it possible to develop precision interventions for population fertility. Future TTP studies should take advantage of artificial intelligence, machine learning, and high-throughput sequencing technologies, and apply medical big data to fully consider and avoid possible bias in the design. CONCLUSION: There are many opportunities and future challenges for TTP related studies which would provide a scientific basis for the “precise health management” of the population preparing for pregnancy. BioMed Central 2022-06-25 /pmc/articles/PMC9233796/ /pubmed/35752834 http://dx.doi.org/10.1186/s12978-022-01450-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Hong, Xiang Yin, Jiechen Wang, Wei Zhao, Fanqi Yu, Hong Wang, Bei The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title | The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title_full | The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title_fullStr | The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title_full_unstemmed | The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title_short | The current situation and future directions for the study on time-to-pregnancy: a scoping review |
title_sort | current situation and future directions for the study on time-to-pregnancy: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233796/ https://www.ncbi.nlm.nih.gov/pubmed/35752834 http://dx.doi.org/10.1186/s12978-022-01450-6 |
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