Evidence map›Paper›PMID 42572525›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)

The Hidden Burden: Global, Regional, and National Trends in Indirect Cause of Maternal Mortality from 1980 to 2021: A Global Analysis Using the Global Burden of Disease 2021 Data.

Abebaw Alamrew, Chalie Mulugeta, Ayinalem Yetwale, Tadele Emagneneh, Mulat Ayele, Eyob Shitie Lake, Esuyawkal Mislu

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abebaw AlamrewDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.ORCID https://orcid.org/0009-0008-6342-9636
Chalie MulugetaDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Ayinalem YetwaleDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Tadele EmagnenehDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Mulat AyeleDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Eyob Shitie LakeDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.
Esuyawkal MisluDepartment of Midwifery, College of Health Sciences, Woldia University, Woldia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Worldwide, lowering maternal mortality is a top priority. While significant efforts have been made to address direct obstetric complications, indirect causes such as pre-existing medical conditions that are aggravated by pregnancy remain a major cause of mortality but are often unrecognized. Understanding indirect maternal mortality prevalence and patterns is crucial for creating focused interventions. Methods: Data were explored from the Global Burden of Disease (GBD) study 2021. Maternal mortality ratio (MMR), maternal mortality rate (MM Rate), disability-adjusted life years (DALYs), and years of life lost (YLLs) were extracted and analyzed. Age-standardized rates and estimated annual percentage change were calculated to evaluate temporal trends. Data visualization and trend analysis were conducted using GBD Compare, Cause of Death Visualization, and GBD Foresight Visualization tools. Microsoft Excel was used for additional data organization and statistical summarization. Result: The analysis revealed a global declining trend in indirect maternal mortality, as measured by the MM Rate, MMR, DALYs, and YLLs. The MM Rate decreased from 3.59 (95% uncertainty interval [UI]: 3.11, 4.14) per 100,000 women of reproductive age in 1980 to 0.97 (95% UI: 0.83, 1.13) in 2021, while the MMR declined from 31.49 (95% UI: 27.23, 36.24) to 14.67 (95% UI: 12.64, 17.07) per 100,000 live births over the same period. Indirect maternal deaths and DALYs were most prominent among women aged 25-29 and 30-34 years. The death rates in these age groups were 1.3 and 1.28 per 100,000 women, respectively, with corresponding DALY rates of 81.87 (95% UI: 70.2, 96.15) and 73.89 (95% UI: 63.03, 85.58). Conclusion: This analysis demonstrates a significant global decline in indirect maternal mortality from 1980 to 2021, reflected in reductions in the MMR, MM Rate, DALYs, and YLLs. Although global maternal mortality has declined, substantial variation continues across countries and regions, with the highest burden in low- and middle-income countries. Notably, some high-income countries have experienced increases since 1980. This signals a global health concern that demands urgent attention.

Indexed as

Global Burden of Diseaseglobal trendsindirect maternal mortalitymaternal health

Identifiers

PMID42572525
PMCPMC13452942

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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.