Skip to main content
Log in

Association between electronic cigarettes use and whole blood cell among adults in the USA—a cross-sectional study of National Health and Nutrition Examination Survey analysis

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Electronic cigarettes (E-cigarettes) use is an emerging public health problem. Trying to assess the independent associations between E-cigarettes use and whole blood cell in a nationally representative sample of the US adults is very important for the smoking population. Using E-cigarettes data from NHANES (National Health and Nutrition Examination Survey) 2013–2018, 17,180 adults were included in this cross-sectional analysis. All participants were stratified into four different groups (non-smoke group N=10087, E-cigarettes group N=52, dual-smoke group N=249, cigarettes group N=6792) based on questions SMQ020 (smoked at least 100 cigarettes in life) and SMQ690H (used last 5 days E-cigarettes). Whole blood cell tests included white blood cell (WBC) with differentials, red blood cell (RBC) with characteristics, and platelet variables. With adjusted by age, gender, and race ethnicity, multivariate logistic regression analyses were used to assess independent associations between E-cigarettes group and other groups for different whole blood cell variables. A total of 17,180 participants were included in the study; 47.9% were males, with a mean age of 46.99 (±0.29). In WBC-related variables, non-smoke group had the lowest value in WBC counts (7.15±0.05), lymphocyte (2.15±0.02), and monocyte (0.57±0.01), among the four different groups. In RBC-related variables, non-smoke group had the lowest value in mean cell volume (MCV, 88.46±0.14, p<0.05) and mean cell hemoglobin (MCH, 29.73±0.06, p<0.05), among the four different groups. In adjusted analysis, WBC (OR = 0.97, 95% CI: 0.96–0.98, p<0.001), especially lymphocyte (OR = 0.97, 95% CI: 0.96–0.98, p<0.001) and monocyte (OR = 0.11, 95% CI: 0.02–0.66, p<0.001) of non-smoke group, showed negative significant effect for E-cigarettes group. Meanwhile, lower odds of MCV (OR = 0.91, 95% CI: 0.81–1.04, p<0.05) and MCH (OR = 0.81, 95% CI: 0.65–1.00, p<0.05) in non-smoke group were observed compared to E-cigarettes group. Conversely, for dual-smoke group and cigarette group, there was no significant results in all whole blood cell variables compared to E-cigarettes group. E-cigarettes use might be associated with a systemic response that could lead to an increase in WBC, especially lymphocytes and monocytes, in the US adults. Meanwhile, the properties of RBC might also be influenced simultaneously; MCV and MCH in E-cigarettes population were bigger than the non-smoke population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

CBC:

complete blood count

E-cigarettes:

electronic cigarettes

MCH:

mean cell hemoglobin

MCV:

mean cell volume

NCHS:

National Center for Health Statistics

NHANES:

National Health and Nutrition Examination Survey

RBC:

red blood cell

US:

the United States

WBC:

white blood cell

References

  • Bk S, Ak S, Sciences H (2012) Original Article The effects of cigarette smoking on hemoglobin levels compared between smokers and non. 1:42–44

  • Borland R, Murray K, Gravely S, et al (n.d.) A new classif cation system for describing concurrent use of nicotine vaping products alongside cigarettes ( so-called ‘ dual use ’ ): findings from the ITC-4 Country Smoking and Vaping wave 1 Survey. 114:24–34. 10.1111/add.14570

  • Bridges AB, Hill A, Belch JJF (1993) Cigarette smoking increases white blood cell aggregation in whole blood. 86:139–140

  • Chen H, Ding X, Li J, et al (2018) White blood cell count: an independent predictor of coronary heart disease risk in middle-aged and elderly population with hyperuricemia. Med (United States) 97:. https://doi.org/10.1097/MD.0000000000013729

  • Clinic M (2022) (Complete Blood Count; CBC). In: Mayo Clin. https://www.healthlinkbc.ca/medical-tests/hw4260%0Ahttps://www.summacheeva.org/article/cbc

  • Conklin DJ, Schick S, Blaha MJ et al (2019) Cardiovascular injury induced by tobacco products: assessment of risk factors and biomarkers of harm. A Tobacco Centers of Regulatory Science compilation. Am J Physiol - Hear Circ Physiol 316:H801–H827. https://doi.org/10.1152/ajpheart.00591.2018

    Article  CAS  Google Scholar 

  • Cornelius ME, Wang TW, Jamal A, et al (2020) Tobacco Product use among adults — United States, 2019. MMWR Morb Mortal Wkly Rep 69:1736–1742. 10.15585/mmwr.mm6946a4

  • Davoudi-Kiakalayeh A, Mohammadi R, Pourfathollah AA et al (2017) free radical production in the smoking of E-cigarettes and their possible effects in human Health. Int J Prev Med 8:1–6. https://doi.org/10.4103/ijpvm.IJPVM

    Article  Google Scholar 

  • Flach S, Maniam P, Manickavasagam J (2019) E-cigarettes and head and neck cancers: a systematic review of the current literature. Clin Otolaryngol 44:749–756. https://doi.org/10.1111/coa.13384

    Article  Google Scholar 

  • Flouris AD, Poulianiti KP, Chorti MS et al (2012) Acute effects of electronic and tobacco cigarette smoking on complete blood count. Food Chem Toxicol 50:3600–3603. https://doi.org/10.1016/j.fct.2012.07.025

    Article  CAS  Google Scholar 

  • Gilpin DF, McGown KA, Gallagher K et al (2019) Electronic cigarette vapour increases virulence and inflammatory potential of respiratory pathogens. Respir Res 20:1–10. https://doi.org/10.1186/s12931-019-1206-8

    Article  CAS  Google Scholar 

  • Gordon T, Karey E, Rebuli ME, et al (2022) E-Cigarette toxicology

  • Hong JW, Ku CR, Noh JH, et al (2015) Association between Self-Reported Smoking and Hemoglobin A1c in a Korean Population without Diabetes : The 2011 – 2012 Korean National Health and Nutrition Examination Survey. 1–13. https://doi.org/10.1371/journal.pone.0126746

  • Ikonomidis I, Katogiannis K, Kostelli G et al (2020) Effects of electronic cigarette on platelet and vascular function after four months of use. Food Chem Toxicol 141:111389. https://doi.org/10.1016/j.fct.2020.111389

    Article  CAS  Google Scholar 

  • Jee SH, Park JY, Kim H, et al (2005) Original contribution white blood cell count and risk for all-cause , cardiovascular , and cancer mortality in a cohort of Koreans. 162:1062–1069. https://doi.org/10.1093/aje/kwi326

  • Lee HW, Park SH, Weng M et al (2018) E-cigarette smoke damages DNA and reduces repair activity in mouse lung, heart, and bladder as well as in human lung and bladder cells. Proc Natl Acad Sci U S A 115:E1560–E1569. https://doi.org/10.1073/pnas.1718185115

    Article  CAS  Google Scholar 

  • Malenica M, Prnjavorac B, Bego T, et al (2017) Effect of cigarette smoking on haematological parameters in healthy population. 71:132–136. https://doi.org/10.5455/medarh.2017.71.132-136

  • Mbbs TP, Mbbs SP, Mbbs RD (2019) Risk of stroke with e-cigarette and combustible cigarette use in young adults. Am J Prev Med 58:446–452. https://doi.org/10.1016/j.amepre.2019.10.008

    Article  Google Scholar 

  • Metzen D, Pembele M, Zako S, et al (2021) Platelet reactivity is higher in e-cigarette vaping as compared to traditional smoking. 2–4. https://doi.org/10.1016/j.ijcard.2021.09.005

  • Mohammad S, Waseem A, Alvi AB (2020) Correlation between anemia and smoking : study of patients visiting different outpatient departments of Integral Institute of Medical Science and Research. Lucknow. 10:149–154. https://doi.org/10.5455/njppp.2019.9.0412805122019

    Article  Google Scholar 

  • Mph ADO, Mirbolouk M, Mph OAO et al (2019) Association Between E-cigarette use and cardiovascular disease among never and current combustible-cigarette smokers. Am J Med 132:949–954.e2. https://doi.org/10.1016/j.amjmed.2019.02.016

    Article  CAS  Google Scholar 

  • National G, Pillars H (n.d.) Electronic cigarette inhalation alters innate immunity and airway cytokines while increasing the virulence of colonizing bacteria

  • Neczypor EW, Mears MJ, Ghosh A et al (2022) E-Cigarettes and Cardiopulmonary health: review for clinicians. Circulation 145:219–232

    Article  Google Scholar 

  • Spack NP, Shumer DE (2017) Association Between electronic cigarette use and myocardial infarction. Physiol Behav 176:139–148. https://doi.org/10.1016/j.amepre.2018.05.004.Association

    Article  Google Scholar 

  • Pauly J, Li Q, Barry MB (2007) Tobacco-free electronic cigarettes and cigars deliver nicotine and generate concern. Tob Control 16:357. https://doi.org/10.1136/tc.2006.019687

    Article  Google Scholar 

  • Payne T, Stokes A, Benjamin E, et al (2018) (National Health and Nutrition Examination Survey) 2013 – 2014. 2013–2014. https://doi.org/10.1161/JAHA.117.008178

  • Polosa R, Cibella F, Caponnetto P, et al (2017) Health impact of E-cigarettes : a prospective 3.5-year study of regular daily users who have never smoked. 1–9. https://doi.org/10.1038/s41598-017-14043-2

  • Rebuli ME, Glista-Baker E, Hoffman JR et al (2021) Electronic-cigarette use alters nasal mucosal immune response to live-attenuated influenza virus: a clinical trial. Am J Respir Cell Mol Biol 64:126–137. https://doi.org/10.1165/rcmb.2020-0164OC

    Article  CAS  Google Scholar 

  • Stallings-smith S, Ballantyne T (2019) Ever use of E-cigarettes among adults in the United States : a cross-sectional study of sociodemographic factors. https://doi.org/10.1177/0046958019864479

  • Sunyer J, Munoz A, Peng Y, et al (1996) Longitudinal Relation between smoking and white blood cells. 144:734–741

  • Higuchi T, Omata F, Tsuchihashi K, Higashioka K, Koyamada R (2016) Current cigarette smoking is a reversible cause of elevated white blood cell count: Cross-sectional and longitudinal studies. Prev Med Reports 4:417–422

    Article  Google Scholar 

  • Wang JB, Olgin JE, Nah G et al (2018) Cigarette and e-cigarette dual use and risk of cardiopulmonary symptoms in the Health eHeart Study. PLoS One 13:1–14. https://doi.org/10.1371/journal.pone.0198681

    Article  CAS  Google Scholar 

  • Wang TW, Neff LJ, Park-Lee E, et al (2020) E-cigarette Use among middle and high school students — United States, 2020. MMWR Morb Mortal Wkly Rep 69:1310–1312. 10.15585/mmwr.mm6937e1

  • Wills TA, Choi K, Pagano I (2020) E-cigarette use associated with asthma independent of cigarette smoking and marijuana in a 2017 National Sample of Adolescents. J Adolesc Heal 67:524–530. https://doi.org/10.1016/j.jadohealth.2020.03.001

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (n.d.) NHANES questionnaires, datasets, and related documentation. https://www.cdc.gov/nchs/nhanes/

Download references

Availability of data and materials

All the data and raw codes are provided in the supplementary files.

Author information

Authors and Affiliations

Authors

Contributions

Yao Wang: Conceptualization, formal analysis, writing—original draft. Yunhui Zhu: Conceptualization, Investigation, writing—original. Zhebin Chen: Investigation, writing—original. Songzan Chen: Investigation, writing—original. Guosheng Fu: Supervision, resources. Jiayin Fu: Conceptualization, formal analysis, writing (review and editing), supervision.

Corresponding authors

Correspondence to Yao Wang or Jiayin Fu.

Ethics declarations

Ethics approval and consent to participate

Institutional Review Board approval was not required as the NHANES represents an adequately de-identified and publicly available dataset.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Lotfi Aleya

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Table S1

(DOCX 14 kb)

Table S2

(DOCX 14 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Zhu, Y., Chen, Z. et al. Association between electronic cigarettes use and whole blood cell among adults in the USA—a cross-sectional study of National Health and Nutrition Examination Survey analysis. Environ Sci Pollut Res 29, 88531–88539 (2022). https://doi.org/10.1007/s11356-022-21973-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-022-21973-6

Keywords

Navigation