Frontiers in Public Health (Jun 2024)

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

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

DOI
https://doi.org/10.3389/fpubh.2024.1325856
Journal volume & issue
Vol. 12

Abstract

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BackgroundSmoking 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.ObjectiveThis 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.Methods39,126 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.ResultsOur 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/.ConclusionOur 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.

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