Evidence map›Paper›PMID 36819549›Full record

ArticleAnnals of translational medicine2023

Association between tobacco smoking and heart disease in older adults: a cross-sectional study based on the Chinese Longitudinal Healthy Longevity Survey.

Ming Liu, Mingxia Zheng, Sen He

Abstract read
In one paragraph

Article in Annals of translational medicine, 2023. 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.

Ming LiuDepartment of Cardiology, Cardiac Catheterization Room, West China Hospital of Sichuan University, Chengdu, China.
Mingxia ZhengDepartment of Cardiology, Cardiac Catheterization Room, West China Hospital of Sichuan University, Chengdu, China.
Sen HeDepartment of Cardiology, Cardiac Catheterization Room, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the risk of heart disease and tobacco smoking has been studied in previous work, but there are arguments among various population. We aimed to investigate the association between heart disease incidence and smoking status among older adults. Methods: A cross-sectional analysis was conducted with 10,891 older adults in the 2 most recent waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), 2011-2014 and 2014-2018. The data included individual weighting variables to ensure they were nationally representative. The parameters consisted of age, sex, body mass index (BMI), smoking status, and disease history was collected. Smoking measures included current/former/never status, pack-years and the time to first cigarette. Heart disease included coronary artery disease, arrhythmias, heart failure, valve diseases and other heart conditions. Respondents with missed values were excluded. Multivariable logistic regression analyses were performed. Results: Among the 10,006 respondents included in the analyses, 4,501 (44.9%) were men. The median age was 88 years old [interquartile range (IQR), 78-96]. A total of 6,713 respondents (67.1%) were nonsmokers, 1,695 respondents (16.9%) were former smokers, and 1,598 respondents (16.0%) were current smokers. The incidence of heart disease was significantly higher in smokers compared with nonsmokers (14.5% Conclusions: For elderly adults, current or former smoking was largely associated with heart disease incidence, especially in females and those over 80 years old. These variables could be considered for inclusion in future heart disease risk prediction models.

Indexed as

cardiovascular diseaseshealth surveyolder adultspack-yearTobacco smoking

Identifiers

PMID36819549
PMCPMC9929806

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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.