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Published on: May 24, 2017
Detection of individual over-smoking using conventional laboratory tests
Yoko Komaki1, Hiroyuki Furuya, Reiichi Higashiyama
1Department of Community Health, Tokai University School of Medicine and Research Center for International Health Development, Tokai University Graduate School of Medicine, Isehara City, Kanagawa, Japan.
Certain blood test markers, including white blood cell counts (WBC) and mean corpuscular volume (MCV), can effectively grade smoking effects. Abnormalities in these indicators suggest smoking-related health impacts in individuals.
Area of Science:
- Clinical Chemistry
- Public Health
- Biomarkers
Background:
- Smoking is a major public health concern with widespread physiological effects.
- Identifying reliable biomarkers for smoking impact is crucial for health monitoring.
- Conventional laboratory tests are widely available in community health check-ups.
Purpose of the Study:
- To identify useful markers for detecting smoking severity from routine laboratory tests.
- To establish grading indices for smoking effects applicable in community health settings.
Main Methods:
- Analysis of lifestyle information and laboratory test data from 18,576 individuals.
- Utilized multiple regression and logistic analysis to correlate smoking habits with various health markers.
- Data collected from Tokai University Hospital Health Check Clinic between January and December 2000.
Main Results:
- White blood cell counts (WBC), lymphocytes (Ly), hemoglobin (Hb), mean corpuscular volume (MCV), and carcinoembryonic antigen (CEA) showed positive correlation with cigarette consumption.
- High-density lipoprotein cholesterol (HDL-C) demonstrated a negative correlation with smoking.
- WBC, MCV, HDL-C, and CEA served as reliable grading indices for smoking effects, independent of alcohol intake.
Conclusions:
- White blood cell counts (WBC), mean corpuscular volume (MCV), high-density lipoprotein cholesterol (HDL-C), and carcinoembryonic antigen (CEA) are valuable grading indices for smoking effects.
- The presence of abnormalities in one or more of these markers in healthy smokers indicates smoking-induced physiological changes.
- A single marker abnormality is more indicative of smoking status than an accumulation of abnormalities.
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