2Department of Haematology and Blood Transfusion, University of Jos, Nigeria
3Department of Chemical Pathology, University of Jos, Jos-Nigeria
Keywords: Alcohol Consumption; Haematological Variables; Anisocytosis; Hypochromia
Excessive alcohol consumption has been linked to numerous adverse events, especially in impairing the state of the brain. [4, 5]. Alcohol abuse is fast becoming a public health concern among the Nigerian youths and adult strata of the society [6, 7].
Heavy intake of alcohol is a leading cause of preventable mortality, second only to cigarette smoking in industrialised countries [8]. Alcohol is implicated in more than 40% of all fatal traffic accidents in 25% of all general hospital admissions, in liver and upper gastrointestinal cancers, suicides sex crimes, industrial accidents, robbery, murder and fetal alcohol syndrome [9-11]. Conversely, there is evidence to suggest that moderate intake of alcohol has some advantages of reducing the risk of coronary heart disease and dementia, the leading causes of death in most affluent societies, especially in the elderly persons, [12, 13]. Therefore, it is expedient to unravel and make available to the public and research community, the benefit and harmful effects of alcohol consumption on specific haematological variables in our location.
With the global daily increase in the population of alcohol consumers, many scientific papers have been published on the subject of the biological effects of alcohol on the human body and from different parts of the world including some parts of Nigeria, but none has been reported from Jos metropolis in Plateau state, Nigeria.
This study was therefore designed to determine the effect of alcohol consumption on some haematological variables among alcohol consumers in Jos metropolis.
The demographic data of the study population are presented in Table 1. There are no significant differences in the mean values of PCV, Hb and total WBC counts between subjects that consume alcohol and those who abstain from taking alcohol as reported in Table 2. The white blood cell differential count results are displayed in Table 3; alcohol consumers showed a significantly higher percentage lymphocyte count compared to non-alcohol consumers ( 48.28±12.98% v 41.91±11.59%; p=0.002). Whereas non-alcohol consumers had a borderline significant higher percentage neutrophil count compared to alcohol consumers (48.40±12.70% v 44.50±13.67%; p=0.078).
Data from the film reporting in Table 4 revealed that a significantly higher percentage of alcohol consumers harbour malaria parasites in the blood compared to non-consumers (79.7% v 20.3%; p=0.001). Further results from the blood film reporting in Table 5, showed that significantly higher proportions of the following blood film variables were observed among alcohol consumers compared to non-consumers: macrocytes (80.4 v 19.6; p=0.001), microcytes (80.0 v 20.0; p=0.020), hypochromia (92.3 v 7.7; p=0.001), polychromasia (84.6 v 15.4; p=0.013), rouleaux formation (77.8 v 22.2; p=0.004) and atypical lymphocytes (90.0 v 10.0; p=0.011).
variables |
frequency |
percentage % |
Gender |
||
male |
99 |
55.9 |
female |
78 |
44.1 |
Alcohol Consumption |
||
Yes |
124 |
70.1 |
No |
53 |
29.9 |
Blood group |
||
A+ |
32 |
20.4 |
B+ |
38 |
24.2 |
O+ |
77 |
49 |
AB+ |
4 |
2.5 |
A- |
3 |
1.9 |
O- |
3 |
1.9 |
Haematological variables |
Status of alcohol consumption |
t-test |
P value |
||
|
consumers |
Non-consumers |
|
||
Pcv (%) |
44.93±4.43 |
44.55±4.07 |
0.536 |
0.593 |
|
Hb(g/dl) |
14.65±1.63 |
14.63±1.30 |
0.063 |
0.95 |
|
WBC(x 109/L) |
5.84±2.30 |
5.93±1.93 |
0.264 |
0.806 |
Differential white blood cell count |
Status of alcohol consumption |
t-test |
P value |
|
consumers |
Non-consumers |
|||
Neutrophils (%) |
44.50±13.67 |
48.40±12.70 |
1.773 |
0.078 |
Lymphocytes (%) |
48.28±12.98 |
41.91±11.59 |
3.089 |
0.002 |
Monocytes (%) |
4.90±3.32 |
5.29±2.87 |
0.725 |
0.47 |
Eosinophils (%) |
4.50±3.55 |
5.48±4.69 |
1.272 |
0.206 |
Basophils (%) |
1.14±0.38 |
1.40±0.38 |
0.968 |
0.356 |
Malaria parasite |
Status of alcohol consumption |
χ2 |
P value |
|
Consumers |
Non-Consumers |
|||
Positive |
47(79.7) |
12(20.3) |
20.763 |
0.001 |
Negative |
77(65.3) |
41(34.7) |
10.983 |
0.001 |
Total |
124(70.1) |
53(29.9) |
28.48 |
0.001 |
Parameters |
Status of alcohol consumption |
χ2 |
P value |
|
Consumers |
Non-Consumers |
|||
Normal red cells |
45(56.3) |
35(43.8) |
1.25 |
0.264 |
Macrocytes |
45(80.4) |
11(19.6) |
20.643 |
0.001 |
Microcytes |
12(80.0) |
3(20.0) |
5.4 |
0.02 |
Hypochromia |
36(92.3) |
3(7.7) |
27.923 |
0.001 |
ovalocytes |
5(62.5) |
3(37.5) |
0.5 |
0.48 |
Crenated red cells |
16(66.7) |
8(33.3) |
2.667 |
0.102 |
Stomatocytes |
6(85.7) |
1(14.3) |
3.571 |
0.059 |
Spherocytes |
5(83.3) |
1(16.7) |
2.667 |
0.102 |
polychromasia |
11(84.6) |
2(15.4) |
6.231 |
0.013 |
Rouleaux formation |
21(77.8) |
6(22.2) |
8.333 |
0.004 |
Platelets Adequate |
107(69.5) |
47(30.5) |
23.377 |
0.001 |
Platelet increased |
6(75.0) |
2(30.5) |
2 |
0.157 |
Giant platelets |
7(53.8) |
6(46.2) |
0.077 |
0.782 |
Atypical lymphocytes |
9(90.0) |
1(10.0) |
6.4 |
0.011 |
The demographic data of the study participants are presented in table 1. Table 2 showed that there was no statistically significant difference in the values of haematocrit, haemoglobin, and total white cell count among alcohol consumers compared to non-alcohol consumers. Since we did not classify the study subjects according to the rate and frequency of alcohol intake, this observation could not provide a clear picture of the impact of alcohol intake on these haematological variables.. We speculate that stratifying the study subjects according to the frequency and duration of alcohol consumption may reveal a clearer picture of the effect of excessive and prolonged alcohol intake on haematology. The results of the differential white blood cell counts presented in table 3 revealed that alcohol consumers had a significantly higher percentage of lymphocytes compared to nonconsumers of alcohol (p=0.002). Inversely, a higher percentage (at a borderline significance; p=0.078) of the neutrophils count was reported among non-alcohol consumers compared to alcohol consumers. These reports have not been able to categorically decipher any advantege in the immune status of the two groups of the study participants. While the higher percentage of lymphocytes reported among alcohol consumers may be seen to confer potentials for adaptive immunity, the higher percentage neutrophil count seen among non-consumers of alcohol might be viewed as a potential for a stronger innate immune response..
As part of the thin blood film reporting, table 4 showed that alcohol consumers had a significantly higher incidence of malaria parasitaemia compared to non-consumers of alcohol (p=0.001).. It is contemplated that the increased malaria parasitaemia observed among the alcohol consumers could be associated with social habits such as keeping late nights at drinking spots and sleeping outside the mosquito nets among others, which increases their vulnerability to mosquito bites.. Interestingly, further blood film reporting presented in table 5 indicated increased incidences of macrocytes, microcytes, hypochromia, polychromasia, rouleaux formation and atypical lymphocytes among alcohol consumers compared to non-consumers of alcohol. These are common features that are characteristically oberved on blood films of patients suffering from some types of anaemia.
A study by Thoma and colleagues reported statistically decreased Hb concentration, total white cell count and PCV among alcoholics in relation to increased alcohol consumption time [19]. A case-control study performed by Erhabor and colleagues in Nigeria had observed significant reduction in WBC, red cell count (RBC), haemoglobin, haematocrit and platelet count, while MCV values were significantly elevated [20].This report did not agree with our findings, although the mean values of Hb, WBC and PCV recorded in this study was within a lower borderline and the time of alcohol consumption was not considered in the study. In a similar study by Elanchian et al, a statistically significant increased macrocytes among severe alcoholics was revealed in comparison to the non alcoholics [21]. The Elanchian finding is in agreement with data. The increased macrocytes among alcoholics could be associated with impaired dietary folate metabolism resulting to folate deficiency and leading to poor DNA development thereby releasing macrocytic cells into the peripheral blood circulation. A similar study by Yoganandh and colleagues reported grossly decreased level of both vitamin B12 and folate among severe alcoholics in comparison with non-alcoholic group [21].
The blood film report revealed statistically increased macrocytic, microcytic, hypochromic and polychromic red blood cells among the alcoholics. The blood film features suggest that alcohol consumption may be associated with anaemia, although the mean haematocrit and Hb values recorded in this study are at lower borderline. However alcohol consumption rate and duration should be consider because alcohol may have delay effect on haemaological parameters.
- Giesbrecht, N, Ashley Wettlaufer, Emma Walker, Anca Ialomiteanu, Timothy Stockwell. Beer, wine and distilled spirits in Ontario: A comparison of recent policies, regulations and practices. Nordic Studies on Alcohol and Drugs. 2012;29(1):79-102.
- Ferreira-Borges C, Esser MB, Dias S, Babor T, Parry CD. Alcohol control policies in 46 African countries: opportunities for improvement. Alcohol and alcoholism. 2015;50(4):470-476. doi: 10.1093/alcalc/agv036
- Abbey A, M J Smith and R O Scott. The relationship between reasons for drinking alcohol and alcohol consumption: An interactional approach. Addictive behaviors. 1993;18(6):659-670.
- Mukamal KJ, Kuller LH, Fitzpatrick AL, Longstreth WT, Mittleman MA, Siscovick DS. Prospective study of alcohol consumption and risk of dementia in older adults. Jama. 2003;289(11):1405-1413.
- Brust JC. Ethanol and cognition: indirect effects, neurotoxicity and neuroprotection: a review. International journal of environmental research and public health. 2010;7(4):1540-1557. doi: 10.3390/ijerph7041540
- Akanni E, Victor O Mabayoje, TO Zakariyahu, DP Oparinde. Haematological characterization among heavy alcohol consumers in Osogbo metropolis. Research Journal of Medical Sciences. 2010;4(2):48-52.
- Obiechina G and B Isiguzo. Curbing the Menace of Drug Use among Secondary School Students in Nigeria. European Journal of Research and Reflection in Educational Sciences. 2016;4(1):1-64.
- Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Correction: actual causes of death in the United States, 2000. Jama. 2005;293(3): 293-294.
- Kannel WB. Alcohol and cardiovascular disease. Proceedings of the Nutrition Society. 1988;47(2):99-110.
- Ifeanyi O, Omeh Yusuf Ndukaku, OT Ndubuisi, BL Eze Obioma. Some Haematological and Biochemical Parameters of Chronic Alcoholics in Umuahia, Abia State, Nigeria. Res J Pharmaceut Biol Chem Sci. 2014;5(2):831-836.
- Llerena S, María Teresa Arias-Loste, Angela Puente, Joaquín Cabezas, Javier Crespo and Emilio Fábrega. Binge drinking: Burden of liver disease and beyond. World journal of hepatology. 2015;7(27):2703-2715. doi: 10.4254/wjh.v7.i27.2703
- Klatsky AL. Moderate drinking and reduced risk of heart disease. Alcohol Research and Health. 1999;23(1):15-23.
- Sabia S, Aurore Fayosse, Julien Dumurgier, Aline Dugravot, Tasnime Akbaraly, Annie Britton, Mika Kivimäki, et al. Alcohol consumption and risk of dementia: 23 year follow-up of Whitehall II cohort study. Bmj. 2018;362:k2927.
- Bull BS. Procedure for determining packed cell volume by the microhematocrit method; approved standard. NCCLS Document H7-A3. 2000;20(18):1-18.
- Dacie J and S Lewis. Practical Hematology. 10th Ed, Churchill Living Stone. 2006.
- Kalaivani K and P Ramachandran. Time trends in prevalence of anaemia in pregnancy. Indian Journal of Medical Research. 2018; 147(3):268 -277. doi: 10.4103/ijmr.IJMR_1730_16
- Lorenzo C, AJ Hanley and SM Haffner. Differential white cell count and incident type 2 diabetes: the Insulin Resistance Atherosclerosis Study. Diabetologia. 2014;57(1):83-92. doi: 10.1007/s00125-013-3080-0
- Bain BJ, I Bates and MA Laffan. Dacie and Lewis Practical Haematology E-Book. Elsevier Health Sciences. 2016.
- Thoma E, Sonila Bitri , Klodeta Mucaj , Andrin Tahiri and Irida Pano. Changes of some blood count variables in correlation with the time of alcohol abuse. J Addict Res Ther. 2015;6:2. doi: 10.4172/2155-6105.1000221
- Erhabor O and Teddy Charles Adias. Evaluation Of Haematological Parameters Among Alcoholics In Port Harcourt Nigeria. International Journal of Laboratory Hematology. 2013;35:49-50.
- Yoganandh T, S Mayilsamy and S Radhakrishnan. Comparison of haematological parameters between alcoholics and non-alcoholics. International Journal of Research in Medical Sciences. 2017;5(11):5041-5047. doi:http://dx.doi.org/10.18203/2320-6012.ijrms20174967