Effect of Cigarette Smoking on Haematological Parameters in Healthy Population

Malenica, Maja; Prnjavorac, Besim; Bego, Tamer; Dujić, Tanja; Semiz, Sabina; Škrbo, Selma; Gusic, Amar; Hadzic, Ajla; Čaušević, Adlija

doi:10.5455/medarh.2017.71.132-136

Cited by 167 publications

(170 citation statements)

References 29 publications

(29 reference statements)

Supporting

Mentioning

117

Contrasting

Unclassified

Order By: Relevance

“…The significant increases in WBC count, hemoglobin, hematocrit, MCV, and MCH in those who smoked are consistent with previous studies. 7,21,22 Smith et al reported that total WBC count and its components were strongly associated with cigarette smoking and that smoking cessation may have an almost immediate impact on pathophysiologic processes such as inflammation that may be indicated by WBC count. 21 Malenica et al showed that continuous cigarette smoking had severe adverse effects on hematological parameters (eg, hemoglobin, WBC count, MCV, RBC count, hematocrit) and that these alterations might be associated with a greater risk of developing atherosclerosis, polycythemia vera, chronic obstructive pulmonary disease, and cardiovascular diseases.…”

Section: Discussionmentioning

confidence: 99%

“…21 Malenica et al showed that continuous cigarette smoking had severe adverse effects on hematological parameters (eg, hemoglobin, WBC count, MCV, RBC count, hematocrit) and that these alterations might be associated with a greater risk of developing atherosclerosis, polycythemia vera, chronic obstructive pulmonary disease, and cardiovascular diseases. 7 Some studies have suggested that an increase in hemoglobin level in the blood of smokers could be a compensatory mechanism F I G U R E 2 The prevalence rates of obesity, smoking, and poor sleep stratified by red blood cell (RBC) count, hematocrit, mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH). The frequencies of obesity differed among quartiles of RBC count (P < 0.0001, A); smoking, poor sleep, and obesity differed among quartiles of hematocrit (all P < 0.001, B-D); and smoking differed among quartiles of MCV and MCH (all P < 0.0001, E, F), and the trends were significantly linear (all P < 0.001) mediated by exposure to carbon monoxide.…”

Section: Discussionmentioning

confidence: 99%

“…5,6 A high RBC count may be a symptom of a disease or disorder, although it does not always indicate a health problem, and health or lifestyle factors can also cause a high RBC count. 7 Furthermore, a high hemoglobin count in the absence of any other abnormalities is unlikely to be related to any condition of concern. Specific disorders such as chronic obstructive pulmonary disease, 8 heart failure, 9 liver cancer, 10 and kidney cancer 9 or lifestyle factors such as smoking and living at a high altitude 7 may affect the hemoglobin level.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Association between lifestyle and hematological parameters: A study of Chinese male steelworkers

Jean

Hsu

Hung

et al. 2019

Clinical Laboratory Analysis

View full text Add to dashboard Cite

BackgroundIncreasing evidence suggests an association between lifestyle and white blood cell (WBC) count; however, no study has examined the effects of lifestyle associations on hematological parameters. The aim of this study was to examine the association between lifestyle factors and hematological parameters in a large population‐based sample of Chinese male steelworkers.MethodsThis study included 3189 male workers at a steel plant who responded to a cross‐sectional questionnaire on basic attributes, lifestyle, and sleep. All workers in the plant underwent periodic health checkups. Hematological parameters were also examined at the checkup.ResultsStepwise linear regression analyses showed that smoking, poor sleep, shift work, and obesity were all significant factors associated with WBC count. Obesity was independently associated with RBC count. Furthermore, smoking and obesity were associated with hemoglobin, and smoking, poor sleep, and obesity were independently associated with hematocrit. Moreover, smoking was the main factor associated with MCV and MCH. When the subjects were divided into quartiles according to WBC count, RBC count, hemoglobin, hematocrit, MCV, MCH, and increased WBC count were associated with smoking, poor sleep, shift work, and obesity. Increased hemoglobin was associated with smoking and obesity. Furthermore, an increased RBC count was associated with obesity, and increased hematocrit was associated with smoking, poor sleep, and obesity. Similarly, increased MCV and MCH were also associated with smoking.ConclusionThis study indicates that lifestyle factors may exert an important effect on hematological parameters (eg, WBC count, RBC count, hemoglobin, hematocrit, MCV, and MCH).

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association between lifestyle and hematological parameters: A study of Chinese male steelworkers

Jean

Hsu

Hung

et al. 2019

Clinical Laboratory Analysis

View full text Add to dashboard Cite

show abstract

“…The literature typically shows higher levels in smokers versus non‐smokers on these parameters . The mechanism of hematological changes associated with smoking is not wholly understood, and can be a combination of multiple factors.…”

Section: Discussionmentioning

confidence: 99%

“…The findings of the other studied biomarkers were either inconclusive or showed no difference based on the Bayes factors analysis. The literature typically shows higher levels in smokers versus non-smokers on these parameters [13,[35][36][37][38][39]. The mechanism of hematological changes associated with smoking is not wholly understood, and can be a combination of multiple factors.…”

Section: Discussionmentioning

confidence: 99%

Effects of immediate versus gradual nicotine reduction in cigarettes on biomarkers of biological effects

et al. 2019

View full text Add to dashboard Cite

Aim A previous study showed significantly greater reductions in number of cigarettes smoked and biomarkers of toxicant and carcinogen exposure in smokers assigned to immediate reduction of nicotine in cigarettes to very low levels versus gradually over time or continued smoking of normal nicotine content cigarettes. This study examines the effects of these approaches on selected biomarkers associated with harmful biological effects. Design Three‐arm, randomized controlled trial. Setting Ten United States academic institutional sites. Participants Daily smokers uninterested in quitting smoking with a mean age of 45.1 [standard deviation (SD) = 13.4)] years and smoking 17.1 (SD = 8.5) cigarettes/day; 43.9% (549 of 1250) female; 60.6% (758 of 1250) white ethnicity. Interventions (1) Smoking cigarettes where nicotine content was immediately reduced to very low levels (n = 503); (2) smoking cigarettes where nicotine content was gradually reduced, with dose changes occurring monthly (n = 498); and (3) continued smoking with normal nicotine content cigarettes (n = 249). Measurements Smokers were assessed at baseline while smoking their usual brand cigarettes, and again at 4, 8, 12, 16 and 20 weeks. Outcomes were areas under the concentration time curve (AUC) for the period of study of biomarkers of inflammation, oxidative stress and hematological parameters. Findings No consistent significant differences were observed across groups (Bayes factors showing data to be insensitive), with the only exception being red blood cell size variability, which was observed to be lower in the immediate versus gradual nicotine reduction [mean difference = −0.11; 95% confidence interval (CI) = –0.18, −0.04, P = 0.004] and normal nicotine control groups (mean difference = − 0.15, 95% CI = –0.23, −0.06, P = 0.001). Conclusion It remains unclear whether switching to very low nicotine cigarettes leads to a short‐term reduction in biomarkers of tobacco‐related harm.

show abstract