Evidence map›Paper›PMID 42775151›Full record

ArticlePNAS nexus2026

Why the mortality penalty of smoking is rising over time.

Ralph Lawton, Jennifer Beam Dowd, Jonathan Skinner, Ellen Meara

Abstract read
In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ralph LawtonInterfaculty Initiative in Health Policy, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID https://orcid.org/0000-0003-4640-5962
Jennifer Beam DowdLeverhulme Center for Demographic Science, Nuffield Department of Population Health, Nuffield College, University of Oxford, Oxford OX1 1JD, United Kingdom.ORCID https://orcid.org/0000-0003-2006-5656
Jonathan SkinnerDepartment of Economics, Dartmouth College, Hanover, NH 03755, USA.ORCID https://orcid.org/0000-0002-4760-9396
Ellen MearaNational Bureau of Economic Research, Cambridge, MA 02138, USA.ORCID https://orcid.org/0000-0003-0211-1970

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
MD-PhD Training Program in Aging and the Social/Behavioral SciencesT32AG051108 · NIA · HARVARD MEDICAL SCHOOL · PI MCWILLIAMS, JOHN MICHAEL · 2015 to 2025
$2.1M
NIA NIH HHS T32 AG051108NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

The adverse association between smoking and mortality is well known, yet estimated risks for smokers have risen markedly in recent decades. Explanations range from physiological impacts of changes in smoking intensity to shifts in the social characteristics of smokers. However, these hypotheses have rarely been tested. Using National Health Interview Survey data linked to the National Death Index through 2018, we confirm the mortality penalty associated with smoking increased by nearly 50% from 1987-1990 to 2012-2013, controlling for age. We show that this growing gradient between smokers and nonsmokers is driven largely by changes in the age distribution of smokers. This occurs even as more recent cohorts of smokers exhibit lower education, worse health, and greater psychological distress. These findings illustrate how evolving population composition can shape estimated mortality risks for exposures such as smoking and hold implications for understanding temporal changes in other risk factors like obesity.

Indexed as

agingmortalitysmoking

Identifiers

PMID42775151
PMCPMC13595352

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.