Evidence map›Paper›PMID 42242781›Full record

ArticleBMJ (Clinical research ed.)2026

Global, regional, and national levels and trends in older child, adolescent, and youth (5-24 years) all cause mortality from 1990 to 2024: modelling study.

Danzhen You, Lucia Hug, Graeme Wilson Fell, Yang Liu, David Sharrow, Patrick Gerland, Bruno Masquelier, Leontine Alkema, Fengqing Chao, Michel Guillot and 6 more

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2026. 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

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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Danzhen YouUnicef Office of Strategy and Evidence - Innocenti, New York, NY, USA.
Lucia HugUnicef Office of Strategy and Evidence - Innocenti, Florence, Italy lhug@unicef.org.ORCID 0000-0003-3230-4909
Graeme Wilson FellUnicef Office of Strategy and Evidence - Innocenti, Florence, Italy.
Yang LiuUnicef Office of Strategy and Evidence - Innocenti, Florence, Italy.
David SharrowUnicef Office of Strategy and Evidence - Innocenti, Florence, Italy.
Patrick GerlandPopulation Estimates and Projections, United Nations Department of Economic and Social Affairs, NY, USA.
Bruno MasquelierLouvain University, Louvain-la-Neuve, Belgium.
Leontine AlkemaUniversity of Massachusetts Amherst, Amherst, MA, USA.
Fengqing ChaoChinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China.
Michel GuillotUniversity of Pennsylvania, Philadelphia, PA, USA.
Thomas SpoorenbergDemographic Analysis Section, Population Division, United Nations Department of Economic and Social Affairs, NY, USA.
Bochen CaoDepartment of Data, Digital Health, Analytics and AI, World Health Organization, Geneva, Switzerland.
Kathleen StrongScience, Innovation and Monitoring Unit, Department of Sexual, Reproductive, Maternal, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Haidong WangDepartment of Data, Digital Health, Analytics and AI, World Health Organization, Geneva, Switzerland.
Helena Cruz CastanheiraCELADE - Population Division of United Nations Economic Commission for Latin America and the Caribbean, Santiago, Chile.
Emi SuzukiDevelopment Data Group, World Bank, Washington DC, USA.

Funding

Gates Foundation (INV-042416)
6 · The paper itself

Abstract

objectiveTo estimate all cause mortality among children, adolescents, and youths aged 5-24 years for 200 countries and areas from 1990 to 2024, to assess mortality levels and trends, and to identify which regions and countries require the greatest investment.

designDatabase construction of empirical data on mortality, mortality estimation, and assessment of levels and trends. DATA AND

methodsMortality databases were constructed from all available nationally representative data including vital registration data, sample vital registration data, household surveys, and population censuses to estimate mortality risk in the age groups in people aged 5 to 24 years.

resultsIn 2024, an estimated 2.1 million (90% uncertainty interval (UI) 2.1 million to 2.4 million) people aged 5-24 years died worldwide, representing 31% of all 7.0 million deaths under 25 years of age. This figure, an increase from 21% (3.3 million of 16.3 million) in 1990, reflects this age group's increasing epidemiological importance as mortality in children under 5 years old declines faster. Globally, mortality risk was lowest at ages 10-14 years (2.7 (90% UI 2.5 to 3.3) deaths per 1000) and increased at ages 15-19 years (4.3 (4.1 to 4.6)) and 20-24 years (6.1 (5.7 to 7.7)). Male mortality was consistently higher than female mortality, with the male to female ratio increasing with age. Progress has been uneven: mortality fell by 64% for people aged 5-9 years from 1990 to 2024, compared with 33% for people aged 20-24 years, with slower declines in male mortality, particularly in older youth (26% reduction in male mortality

conclusionProgress in reducing mortality in people aged 5-24 years has been uneven and has slowed. Urgent, context specific investments-particularly in high mortality regions-are needed to reduce preventable deaths and strengthen mortality monitoring data systems.

Indexed as

Global HealthMortalityAdolescentAge DistributionCause of DeathChildChild, PreschoolFemaleHumansMaleYoung Adult

Identifiers

PMID42242781
PMCPMC13327470

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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.