Evidence map›Paper›PMID 38448970›Full record

ArticleRespiratory research2024

Association and mediation between educational attainment and respiratory diseases: a Mendelian randomization study.

Guohui Lan, Mengying Xie, Jieli Lan, Zelin Huang, Xiaowei Xie, Mengdan Liang, Zhehui Chen, Xiannuan Jiang, Xiaoli Lu, Xiaoying Ye and 3 more

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Guohui Lan *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Mengying Xie *The Second Clinical Medical School, Nanchang University, Nanchang, China.
Jieli Lan *Clinical Research Unit, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China.
Zelin Huang *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiaowei XieThe First Clinical Medical School, Shanxi Medical University, Taiyuan, China.
Mengdan LiangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Zhehui ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiannuan JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiaoli LuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xiaoying YeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Tingting XuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Yiming ZengDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine of Fujian Province, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China. zeng_yi_ming@126.com.
Xiaoxu XieDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. xxx@fjmu.edu.cn.
Fujian Medical University · CNNanchang University · CN

Funding

National Natural Science Foundation of China 82203989Natural Science Foundation of Fujian Province 2021J01729
6 · The paper itself

Abstract

backgroundRespiratory diseases are a major health burden, and educational inequalities may influence disease prevalence. We aim to evaluate the causal link between educational attainment and respiratory disease, and to determine the mediating influence of several known modifiable risk factors.

methodsWe conducted a two-step, two-sample Mendelian randomization (MR) analysis using summary statistics from genome-wide association studies (GWAS) and single nucleotide polymorphisms (SNPs) as instrumental variables for educational attainment and respiratory diseases. Additionally, we performed a multivariable MR analysis to estimate the direct causal effect of each exposure variable included in the analysis on the outcome, conditional on the other exposure variables included in the model. The mediating roles of body mass index (BMI), physical activity, and smoking were also assessed.

findingsMR analyses provide evidence of genetically predicted educational attainment on the risk of FEV1 (β = 0.10, 95% CI 0.06, 0.14), FVC (β = 0.12, 95% CI 0.07, 0.16), FEV1/FVC (β = - 0.005, 95% CI - 0.05, 0.04), lung cancer (OR = 0.54, 95% CI 0.45, 0.65) and asthma (OR = 0.86, 95% CI 0.78, 0.94). Multivariable MR dicated the effect of educational attainment on FEV1 (β = 0.10, 95% CI 0.04, 0.16), FVC (β = 0.07, 95% CI 0.01, 0.12), FEV1/FVC (β = 0.07, 95% CI 0.01, 0.01), lung cancer (OR = 0.55, 95% CI 0.42, 0.71) and asthma (OR = 0.88, 95% CI 0.78, 0.99) persisted after adjusting BMI and cigarettes per day. Of the 23 potential risk factors, BMI, smoking may partially mediate the relationship between education and lung disease.

conclusionHigh levels of educational attainment have a potential causal protective effect on respiratory diseases. Reducing smoking and adiposity may be a target for the prevention of respiratory diseases attributable to low educational attainment.

Indexed as

AsthmaLung NeoplasmsRespiration DisordersRespiratory Tract DiseasesEducational StatusGenome-Wide Association StudyHumansMendelian Randomization AnalysisAsthmaEducationLung cancerLung functionMendelian randomization

Identifiers

PMID38448970
PMCPMC10918882
OpenAlexW4392504422

What OpenQuestion holds

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LicenceCC BY
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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.