Evidence map›Paper›PMID 40458596›Full record

ArticleAJPM focus2025

Examining the Role of Race/Ethnicity and Sex in Modifying the Association Between Early Smoking Initiation and Mortality: A 20-Year NHANES Analysis.

Mohammad Ehsanul Karim, Md Belal Hossain, Chuyi Astra Zheng

Abstract read
In one paragraph

Article in AJPM focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Mohammad Ehsanul KarimSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Md Belal HossainSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Chuyi Astra ZhengDepartment of Statistics, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The authors aim to examine the modifications of the relationship between early smoking initiation and overall mortality by race/ethnicity and sex using data from U.S. adults in the 1999-2018 National Health and Nutrition Examination Surveys. Methods: The authors analyzed data from 10 aggregated National Health and Nutrition Examination Surveys cycles focusing on noninstitutionalized U.S. civilian population aged 20-79 years. Smoking initiation was categorized by age, and the study's primary outcome was all-cause mortality. The authors employed Kaplan-Meier curves and Cox proportional hazards models to investigate the associations and adjusted for race/ethnicity, sex, and survey cycle. The authors also explored effect modification by race/ethnicity and sex. Results: The analysis included 50,549 participants. The authors found that early smoking initiation was significantly associated with increased all-cause mortality across all age categories, with higher hazard ratios for earlier initiation ages. The relationship exhibited variations by race/ethnicity and sex. Non-Hispanic White population showing the highest risk, followed by non-Hispanic Black subpopulation, but race/ethnicity interaction terms was not significant. Significant interaction by sex was observed. Conclusions: Early smoking initiation is significantly associated with increased risk of mortality, with noticeable differences by race/ethnicity and sex. These findings emphasize the need for prevention measures that are sensitive to demographic variations.

Indexed as

Complex surveyeffect modificationmortalitysmoking initiationsurvival analysis

Identifiers

PMID40458596
PMCPMC12128641

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Registered trials

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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.