The global prevalence of low back pain in pregnancy: a comprehensive systematic review and meta-analysis.


Journal

BMC pregnancy and childbirth
ISSN: 1471-2393
Titre abrégé: BMC Pregnancy Childbirth
Pays: England
ID NLM: 100967799

Informations de publication

Date de publication:
02 Dec 2023
Historique:
received: 23 03 2023
accepted: 22 11 2023
medline: 4 12 2023
pubmed: 3 12 2023
entrez: 2 12 2023
Statut: epublish

Résumé

Back pain during pregnancy is often considered as an unavoidable problem and can reduce the quality of life or disability of pregnant women. The aim of this study is to determine the global prevalence of back pain in pregnancy based on a systematic review and meta-analysis. In this study, Researchers systematically searched electronic databases PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar search engines for studies until September 2023. To analyze data, the random effects model was used, and the heterogeneity of the studies was checked with the I2 index. Data analysis was performed by software (Version 2 Comprehensive Meta-Analysis). In the review of 28 studies with a sample size of 12,908 people, the I In this meta-analysis, the overall prevalence of back pain in pregnant women was reported to be significant, so it is necessary for health policymakers to pay more attention to complications during pregnancy, in addition to increasing society's awareness of pregnant mothers, with timely diagnosis and treatment of such disorders, it can lead to improvement; and reduction in Complications caused by pregnancy and becoming more pleasant during pregnancy.

Sections du résumé

BACKGROUND BACKGROUND
Back pain during pregnancy is often considered as an unavoidable problem and can reduce the quality of life or disability of pregnant women. The aim of this study is to determine the global prevalence of back pain in pregnancy based on a systematic review and meta-analysis.
METHODS METHODS
In this study, Researchers systematically searched electronic databases PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar search engines for studies until September 2023. To analyze data, the random effects model was used, and the heterogeneity of the studies was checked with the I2 index. Data analysis was performed by software (Version 2 Comprehensive Meta-Analysis).
RESULTS RESULTS
In the review of 28 studies with a sample size of 12,908 people, the I
CONCLUSION CONCLUSIONS
In this meta-analysis, the overall prevalence of back pain in pregnant women was reported to be significant, so it is necessary for health policymakers to pay more attention to complications during pregnancy, in addition to increasing society's awareness of pregnant mothers, with timely diagnosis and treatment of such disorders, it can lead to improvement; and reduction in Complications caused by pregnancy and becoming more pleasant during pregnancy.

Identifiants

pubmed: 38042815
doi: 10.1186/s12884-023-06151-x
pii: 10.1186/s12884-023-06151-x
pmc: PMC10693090
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

830

Informations de copyright

© 2023. The Author(s).

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Auteurs

Nader Salari (N)

Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Aida Mohammadi (A)

Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Mahvan Hemmati (M)

Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Razie Hasheminezhad (R)

Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Salim Kani (S)

Department of Orthopedic Surgery, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Shamarina Shohaimi (S)

Department of Biology, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia.

Masoud Mohammadi (M)

Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran. Masoud.mohammadi1989@yahoo.com.

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Classifications MeSH