Evidence map›Paper›PMID 40293748›Full record

ArticleJAMA network open2025

All-Cause Mortality and Life Expectancy by Birth Cohort Across US States.

Theodore R Holford, Lisa McKay, Jamie Tam, Jihyoun Jeon, Rafael Meza

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Theodore R HolfordDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Lisa McKayDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Jamie TamDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Jihyoun JeonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor.
Rafael MezaDepartment of Integrative Oncology, British Columbia Cancer Research Institute, Vancouver, Canada.

Funding

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Health and economic impact analysis of a reduced nicotine cigarette policy on vulnerable populationsK01DA056424 · NIDA · YALE UNIVERSITY · PI Jamie Pearl Tam · 2022 to 2026
$829k
NCI NIH HHS U01 CA253858NIDA NIH HHS K01 DA056424
6 · The paper itself

Abstract

Importance: Although overall US mortality rates declined from 1969 to 2020, they vary considerably by state and generation, especially when evaluated by birth cohort. Trends in mortality and life expectancy by birth cohort for US states and Washington, DC, have yet to be characterized. Objective: To estimate cohort mortality trends for each state and Washington, DC, and quantify life expectancy at birth and 40 years of age and the rate of increase after 35 years of age. Design, Setting, and Participants: In this cohort study, all-cause mortality rates by single years of age (0-119) and birth cohort (1900-2000) were estimated for each state in January 2025. Mortality data and population estimates were obtained from the National Center for Health Statistics, the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research website, and the Surveillance, Epidemiology, and End Results database for each state and Washington, DC, by single years of ages 0 to 84 and calendar years 1969 to 2020. An age-period-cohort model with constrained cubic splines for temporal effect estimates was used to estimate mortality from 1900 to 2000. Main Outcomes and Measures: Life expectancy for each cohort from birth or 40 years of age was estimated by sex and state, along with doubling time for the death rate after 35 years of age. Results: Analyses included 179 million deaths (77 million female and 102 million male). In the West and Northeast, cohort life expectancy improved from 1900 to 2000, but in some Southern states, it changed less than 3 years since 1900 in females and less than 2 years since 1950 in males. Washington, DC, had the lowest life expectancy in the 1900 birth cohort but a greater increase than the other states (from 61.1 to 72.8 years of age). After 35 years of age, the highest rate-doubling time in a state was 9.39 years in New York for females and 11.47 years for males in Florida. The shortest rate-doubling times were 7.96 years for females in Oklahoma and 8.95 years for males in Iowa. Conclusions and Relevance: Cohort-specific patterns across states reveal wide disparities in mortality. Some states have experienced little or no improvements in life expectancy from the 1900 to 2000 birth cohorts. Understanding how mortality patterns vary by birth cohort within each state can inform decision-making around resource allocation and public health interventions.

Indexed as

Birth CohortLife ExpectancyMortalityAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMale

Identifiers

PMID40293748
PMCPMC12038512

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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.