AUTHOR=Chen Xi , Wang Tengkun , Tian Yushan , Ma Yinchao , Liu Yuan , Chen Huan , Hou Hongwei , Hu Qingyuan , Chu Ming TITLE=Smoking-diseases correlation database: comprehensive analysis of the correlation between smoking and 422 diseases based on NHANES 2013–2018 JOURNAL=Frontiers in Public Health VOLUME=12 YEAR=2024 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1325856 DOI=10.3389/fpubh.2024.1325856 ISSN=2296-2565 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.