Evidence map›Paper›PMID 38912260›Full record

ArticleFrontiers in public health2024

Smoking-diseases correlation database: comprehensive analysis of the correlation between smoking and 422 diseases based on NHANES 2013-2018.

Xi Chen, Tengkun Wang, Yushan Tian, Yinchao Ma, Yuan Liu, Huan Chen, Hongwei Hou, Qingyuan Hu, Ming Chu

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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xi Chen *NHC Key Laboratory of Medical Immunology (Peking University), Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
Tengkun Wang *NHC Key Laboratory of Medical Immunology (Peking University), Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
Yushan Tian *Beijing Life Science Academy, Beijing, China.
Yinchao MaNHC Key Laboratory of Medical Immunology (Peking University), Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
Yuan LiuNHC Key Laboratory of Medical Immunology (Peking University), Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
Huan ChenBeijing Life Science Academy, Beijing, China.
Hongwei HouBeijing Life Science Academy, Beijing, China.
Qingyuan HuBeijing Life Science Academy, Beijing, China.
Ming ChuNHC Key Laboratory of Medical Immunology (Peking University), Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smoking is a risk factor for a wide range of diseases. Previous research has confirmed over 30 Smoking-Associated Diseases in diverse systems. There is limited research exploring the correlation among multiple diseases, with an absence of comprehensive investigations. Few studies concentrate on diseases exhibiting a negative correlation with smoking, wherein smokers demonstrate a lower prevalence. Objective: This study aimed to detect the correlation between smoking and other diseases using data from National Health and Nutrition Examination Surveys (NHANES) and construct a Smoking-Diseases Correlation Database (SDCD). The second aim is to obtain an extensive screening test for diseases that may be linked to smoking. Methods: 39,126 subjects' data from the NHANES 2013-2018 dataset were extracted. The baseline information, difference in blood routine and blood chemistry indicators between smokers and non-smokers, and diseases' correlation with smoking in four different models were analyzed by R. The data and statistics were aggregated into an online SDCD. Results: Our study reported 46 Smoking-Associated Diseases (SAD), including 29 Smoking Positively Associated Diseases (SPAD) and 17 Smoking Negatively Associated Diseases (SNAD). The SDCD of 422 diseases was constructed and can be accessed at https://chatgptmodel.shinyapps.io/sdcd/. Conclusion: Our findings revealed 46 SADs including 29 SPADs and 17 SNADs. We aggregated the statistics and developed online SDCD, advancing our understanding of the correlation between smoking and diseases.

Indexed as

Nutrition SurveysSmokingAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesYoung Adultsmokingsmoking-associated diseasessmoking-diseases correlation databasesmoking negatively associated diseasessmoking positively associated diseases

Identifiers

PMID38912260
PMCPMC11190184

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