Indian Journal of Pharmacy and Pharmacology

Print ISSN: 2393-9079

Online ISSN: 2393-9087

CODEN : IJPPTK

Indian Journal of Pharmacy and Pharmacology (IJPP) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award programs. With more...

  • Article highlights
  • Article tables
  • Article images

Article statistics

Viewed: 895

PDF Downloaded: 692


Get Permission Okpogba, Ogbodo, Amah, Mounmbegna, Obi-Ezeani, and Iwuji: Evaluation of some heavy metal levels in blood of lead acid battery manufacturing factory workers in Nnewi, Nigeria


Introduction

Today, industrialization has been implicated in the generation of certain compounds which are potentially hazardous to human life particularly to individuals who work in such industries. Nnewi is one of such growing industrial towns in South Eastern Nigeria and it is the second largest city in Anambra State. Some of the notable factories found in this area include lead acid battery manufacturing factories, cable manufacturing factories, metal fabricating factories and metal forging factories among others. Importantly, these factories are often found located around or within residential areas, thus exposing humans to the hazardous effects of the resultant effluents emanating from the activities carried out in these factories. Interestingly, an important and major effluent produced from these factories especially lead acid battery manufacturing factories is ‘heavy metals’. Heavy metals with adverse health effects in human metabolism present obvious concerns due to their persistence in the environment and documented potential for serious health consequences.1

The term “heavy metals” assumes a variety of different meanings throughout the different branches of science. Although “heavy metals” lacks a consistent definition in medical and scientific literature, the term is commonly used to describe the group of dense metals or their related compounds, usually associated with environmental pollution.2 Elements fitting this description include lead, mercury and cadmium. The rather broad definition of heavy metals may also be applied to toxic metalloids like arsenic, as well as nutritionally-essential trace minerals with potential toxicities at elevated intake or exposure (e.g., iron, zinc, copper).2, 3 Heavy metals are those natural components of the earth’s crust that cannot be degraded or destroyed.4 They have relatively high density and are toxic or poisonous even at low concentration.5 Heavy metals are among the contaminants in the environment and they may become bio-accumulative. This bio-accumulation results when there is an increase in the concentration of a chemical in a biological system over time compared with the natural concentration of the chemical in the environment.6 Combustion processes are the most important sources of heavy metal pollution particularly power generation, smelting, incineration and the internal combustion engine.7 Beside the natural activities, almost all human activities also have potential contribution to produce heavy metals as side effects.8, 9 Some of the important routes of exposure to these heavy metals in humans include through food, air and water. Others are through industrial products10 and occupational exposure.11

Exposure to some of these environmental pollutants such as Arsenic, zinc, lead, copper, nickel, chromium, cadmium, etc, have been linked to some common health problems such as chronic fatigue, aggressiveness, anxiety, anorexia, muscular and joint pains, constipation, insomnia and high blood pressure, heart and liver damage, and skin allergy, cancer, stroke and diabetes.12, 13, 14

Previously, some studies have reported high levels of heavy metals such as lead (Pb), nickel (Ni), arsenic (As) etc, in soils, rivers and plants surrounding these factories in Nnewi and this may suggest a possible threat to the living population.11, 15, 7 Also, threatening levels of some of such metal pollutants have been detected in meat;16 chickens17, 18 and vegetables 19, 20 around these areas. Interestingly, a number of studies have shown that these metals may bio-accumulate and exert various deleterious effects on human health by affecting different organs of the human body including the kidney, liver, pancreas, brain, testes among others.3, 21, 22, 23, 24, 25, 26 In Nnewi, most of the industries and factories consume materials which contain many of these heavy metals. Since evidence abounds that effluents of these factories have been found to contain appreciable quantities of these metals either in soil, plant or running water,11, 27 there is a strong indication that individuals who work in this factory would be accumulating them in their bodies, hence this study.

Materials and Methods

Study design and subjects

This is a cross-sectional study designed to evaluate some heavy metal levels in blood of lead acid battery manufacturing factory workers in Nnewi, Nigeria. A total of 39 apparently healthy individuals in the exposed group (lead acid battery manufacturing factory workers) aged between 19 and 56 years were recruited for the study. The exposed group comprised workers from lead acid battery manufacturing factories who were constantly being exposed to effluents from lead acid battery manufacturing factory. The control groups were made up of two (2) sets: The first set was made up of thirty-nine (39) staff and undergraduate students of the College of Health Sciences, Nnamdi Azikiwe University, Nnewi Campus whose residential homes were at least 5-10 km from the factory sites, while the second set was made up of forty (40) staff and undergraduate students of the Faculty of Medicine, Madonna University, Elele. They were aged between 18 and 44 years. Informed consent was obtained from all individuals after being educated on the benefit of the study and completing of a structured questionnaire. Thereafter, 10ml of venous blood sample was collected from each individual for the evaluation of heavy metal levels. Blood samples for the determination of lead (5ml) were delivered into new EDTA containers, mixed and stored frozen at -40C until analyzed. The rest of the blood sample was delivered into lithium heparin containers, stoppered and gradually mixed to prevent clotting. The blood samples were then centrifuged for 3 minutes at 2000 rpm. The plasma were separated and put into clean dry sample containers and stored deep-frozen at -40C until analyzed. The plasma was used for the estimation of heavy metals (Pb, Ni, Cu, Zn, As and Se) by atomic absorption spectroscopy (AAS) according to the method of Smith et al.28 Determination of lead in whole blood was done using the method as described by Hessel.29

Inclusion criteria

Apparently healthy individuals aged between 19 and 56 years who are exposed to lead acid battery manufacturing factory effluents and control individual (non-exposed groups) were included in this study

Exclusion criteria

Individuals of any known kidney disease, liver disorder, alcoholics and smokers as well as those outside the age limits were excluded from the study.

Ethical consideration

Ethical approval for the research was obtained from Ethical Committee, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria (NAUTH/CS/66/Vol.2/149).

Statistical analysis

The data were presented as mean±SEM and the mean values of the control and test group were compared by Students t-test and Pearson’s bivariate correlation coefficient using Statistical package for social sciences (SPSS) (Version 16) software. A P<0.05 was considered as significant.

Results

Table 1 shows some demographic profiles of control individuals from Nnewi (control N) an industrial town and Elele (control E), a rural town and the workers of the lead acid battery manufacturing factory (V). These workers had an average length of service (LOS) of 7.70±0.86 years. The body mass index (BMI) of control N individuals (24.75±0.38) and E individuals (23.58±0.67) were not statistically different (p>0.05) from those of lead acid battery manufacturing factory workers (23.77±0.49).

Table 1

Demographic profile of lead acid battery manufacturing factory workers   

Variables Age (years) LOS (years) Weight (kg) Height (m) BMI (kg/m2)
Control N (n=39) 23.28±1.04ab 74.82±1.04c 1.74±0.01b 24.75±0.38b
Control E (n=40) 21.68±0.33a 66.10±10.91b 1.68±0.01a 23.58±0.67b
V (n=38) 31.38±1.32c 7.70±0.86 66.26±1.57b 1.67±0.01a 23.77±0.49b

[i] *Values are in mean (±SEM); within the column, means with different superscripts are statistically significant (p<0.05).

[ii] Key: N: Control individuals from Nnewi, E: Control individuals from Elele, V: Workers from lead acid battery factory, BMI: Body mass index, LOS: Length of service

The mean serum levels of Ni, Cu, Zn, As, Se and whole blood Pb of controls N and E individuals and factory workers are presented in Table 2. The levels of Cu, Zn, As, Se and Pb levels from control E individuals were higher and statistically different (p<0.05) from those of control N individuals, however, no significant difference (p>0.05) was observed for Ni. The regression of metal levels of control N and E subjects with BMI are presented in Figure 1, Figure 2, respectively. In control N, while the Ni, As and Pb levels were positively correlated, Cu, Zn and Se were negatively correlated with BMI, though non-significantly (p>0.05). In control E, Ni, Cu and Pb were positively correlated (p<0.05) with BMI, while Zn, As and Se were negatively correlated.

The Ni level of lead acid battery factory workers (3.20±0.06) were highly elevated and statistically different (p<0.05) when compared to control N individuals (0.04±0.00) and control E individuals (0.07±0.00). The Cu level in the lead acid battery factory (9.67±0.09) was significantly reduced (p<0.05) when compared with control N (16.69±0.21) and control E (19.72±0.21) individuals; Zn levels of the factory workers of 9.67±0.09 for lead acid battery were statistically reduced (p<0.05) when compared with the controls N (11.73±0.19) and E (17.11±0.46) individuals. While the As level in lead acid battery factory was 0.07±0.00, and it was significantly elevated (p<0.05) compared to both controls N and E individuals. Serum Se levels were reduced in the factory workers (p<0.05) when compared with the control (5.11±0.08 Vs 3.43±0.07) (p<0.05). However, the Pb level in the factory workers were significantly elevated (p<0.05) when compared with control N (0.59±0.01) and E (0.79±0.10) individuals.

Table 2

Heavy metal levels of lead acid battery manufacturing factory workers

Variables Ni (µmol/L) Cu (µmol/L) Zn (µmol/L) As (µmol/L) Se (µmol/L) Pb (µmol/L)
Control N (n=39) 0.04±0.00a 16.69±0.21c 11.73±0.19d 0.01±0.00a 5.11±0.08c 0.59±0.07a
Control E (n=40) 0.07±0.00a 19.72±0.21d 17.11±0.46e 0.02±0.00a 6.66±0.08d 0.79±0.10b
V (n=38) 3.20±0.06c 11.30±0.07b 9.67±0.09c 0.07±0.00d 3.43±0.07b 1.12±0.09e

[i] *Values are in mean ±SEM; within the column, means with different superscripts are statistically significant (p<0.05).

[ii] Key: N: Control subjects from Nnewi, E: Control subjects from Elele, V: Workers from lead acid battery manufacturing factory

Figure 1

Regression of metal levels of control individuals with BMI (Nnewi)

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/bbede4bd-4bac-44df-9009-c5d164c26760/image/cbfcec92-896a-4b93-932c-34f96db52010-uimage.png

Figure 2

Regression of metal levels of control individuals with BMI (Elele)

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/bbede4bd-4bac-44df-9009-c5d164c26760/image/f71f506e-7fa8-4629-afcf-44ad6149861d-uimage.png

The result of the classification of the metal levels of factory workers according to age groups is presented in Table 3 while Figure 3 presents the regression analyses with age. Ni, As and Pb were elevated significantly (p<0.05) while Cu, Zn and Se were reduced significantly (p<0.05) in all the age groups when compared with both controls N and E with the highest Ni, As and Pb elevation at the 41-50yrs, 51-60yrs and 31-40yrs age groups, respectively while lowest Cu, Zn and Se levels were recorded in the 41-50yrs, 51-60yrs and 31-40yrs age groups, respectively. Nickel level (r=0.060; p=0.722), As (r=-0.002; p=0.991), Zn(r=0.103; p=0.588) and Pb (r=0.181; p=0.276) were positively correlated while Cu (r=-0.016; p=0.925) and Se (r=-0.018; p=0.913) were negatively correlated with age (Figure 3) though non-significantly (p>0.05).

Table 3

Effect of age on heavy metal levels of lead acid battery manufacturing factory workers

Age group Ni (µmol/L) Cu (µmol/L) Zn (µmol/L) As (µmol/L) Se (µmol/L) Pb (µmol/L)
N (n=39) 0.04±0.00a 16.72±0.21b 11.71±0.19a 0.01±0.00a 5.13±0.08b 0.59±0.01a
18-30yrs (n=25) 3.17±0.77c 11.32±0.09a 9.59±0.10a 0.07±0.00b 3.48±0.09a 1.10±0.02c
31-40yrs (n=7) 3.34±0.92cd 11.38±0.14a 9.58±0.23a 0.07±0.00b 3.34±0.16a 1.16±0.03c
41-50yrs (n=4) 3.43±0.17d 11.10±0.13a 10.30±0.26a 0.07±0.00b 3.35±0.22a 1.15±0.07c
51 60yrs (n=2) 2.85±0.09b 11.43±0.30a 9.46±0.27a 0.07±0.00b 3.58±0.32a 1.11±0.06c

[i] Values are in mean (±SEM); within column, means with different superscripts are statistically significant (p<0.05)

[ii] Key: N: Control individuals from Nnewi

Figure 3

Regression of metal levels of lead acid battery manufacturing factory workers with age

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/bbede4bd-4bac-44df-9009-c5d164c26760/image/2c328424-29ff-4cbf-8fbf-b9cb9bb1ea9b-uimage.png

Table 4 presents the effect of length of service (LOS) on heavy metal levels of lead acid battery workers according to different age groups while the regression analyses with LOS are presented in Figure 4. Ni, As and Pb were significantly elevated (p<0.05) while Cu, Zn and Se decreased significantly with LOS (p<0.05) compared with controls N and E subjects. The highest Ni and As levels were obtained in the 16yrs and above LOS age group while highest Pb level was obtained at the 6-10yrs LOS age group. Ni (r=0.191; p=0.256), (Zn: r=0.025; p=0.880), Se (r=0.008; p=0.964) and Pb (r=0.172; p=0.302) correlated positively while Cu(r=-0.185; p=0.266) and As (r=-0.045; p=0.787) correlated negatively with LOS though non-significantly (p>0.05).

Table 4

Effect of LOS on metal levels of lead acid battery manufacturing factory workers

LOS group Ni (µmol/L) Cu (µmol/L) Zn (µmol/L) As (µmol/L) Se (µmol/L) Pb (µmol/L)
N (n=39) 0.04±0.00a 16.69±0.21b 11.73±0.19b 0.01±0.00a 5.11±0.08b 0.59±0.01a
0-5yrs (n=12) 3.11±0.13b 11.43±0.16a 9.77±0.18a 0.08±0.00c 3.39±0.11b 1.06±0.02b
6-10yrs (n=17) 3.26±0.08b 11.29±0.09a 9.53±0.14a 0.06±0.00b 3.47±0.10a 1.16±0.02c
11-15yrs (n=4) 3.20±0.15b 11.30±0.07a 10.04±0.42a 0.07±0.02v 3.03±0.29a 1.12±0.03bc
Above 16yrs (n=5) 3.31±0.15b 11.17±0.18a 9.53±0.14a 0.08±0.00c 3.56±0.19b 1.11±0.05bc

[i] Values are in mean (±SEM); within column, means with different superscripts are statistically significant (p<0.05)

[ii] Key :N: Control subjects from Nnewi, LOS: Length of service

Figure 4

Regression of metal levels of lead acid battery manufacturing workers with LOS

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/bbede4bd-4bac-44df-9009-c5d164c26760/image/6114f18c-489e-40da-bb64-e662393429aa-uimage.png

The effect of gender on the metal levels of the factory workers is presented in Table 5. There was no significant difference (p>0.05) between the Ni, Cu, Zn, As, Se and Pb levels of male and female workers of the factory. Ni levels of all the male factory workers were significantly elevated (p<0.05) compared with the controls N and E male individuals with a similar trend in the female gender. The Cu levels of male workers of lead acid battery, was significantly reduced (p<0.05) compared with their respective controls N and E male individuals. Zinc levels of all the male factory workers were significantly reduced (p<0.05) compared with male controls N and E individuals and with the same trend observed in the female workers. Arsenic levels in male and female factory workers were significantly elevated (p<0.05) compared to their respective control individuals. Selenium levels of male and female factory workers of were reduced significantly (p<0.05) compared with their respective male and female control N and E individuals. There were significantly elevated (p<0.05) blood Pb levels in male factory workers compared with the male control N and E individuals. The same trend was observed between the Pb levels of all female factory workers and their respective female controls N and E individuals.

Table 5

Effect of gender on metal levels of lead acid battery manufacturing factory workers

Factories Gender Ni (µmol/L) Cu (µmol/L) Zn (µmol/L) As (µmol/L) Se (µmol/L) Pb (µmol/L)
N M (n=29) 0.37±0.02a 16.90±0.24d 11.85±0.23d 0.01±0.00a 4.05±0.01c 0.59±0.01a
F (n=10) 0.38±0.03a 16.50±0.48d 11.06±0.30d 0.01±0.00a 4.07±0.12c 0.59±0.03a
E M (n=18) 0.08±0.01a 20.99±0.35f 16.29±0.39e 0.02±0.00ab 6.53±0.13d 0.85±0.02c
F (n=22) 0.05±0.00a 18.66±0.36e 17.79±0.76f 0.02±0.00b 6.76±0.10d 0.74±0.02b
V M (n=27) 3.17±0.07c 11.31±0.08c 9.76±0.12c 0.07±0.00d 3.43±0.09b 1.12±0.02d
F (n=11) 3.30±0.12c 11.26±0.14c 9.43±0.09c 0.07±0.00d 3.43±0.11b 1.09±0.03d

[i] Values are in mean (±SEM); within column, means with different superscripts are statistically significant (p<0.05)   

[ii] Key: N: Control individuals from Nnewi, E: Control individuals from Elele, V: Workers from lead acid battery manufacturing factory, M: Male, F: Female

Discussion

This study determined the levels of some heavy metals (Ni, Cu, Zn, As, Se and Pb) in the blood of workers of lead acid battery manufacturing factory (V), in Nnewi, a fast growing industrial city, South East of Nigeria. The workers in these factory like their control counterparts, are living in an environment that has been found to have very high levels of such metals in soil, plants and rivers especially Pb due to environmental contamination caused by urbanization and development.15, 7 The air in the work environment usually contains a number of pollutants, which when inhaled and absorbed by the body, pose a potential risk for workers’ health.30, 31 Contamination of the environment includes that arising from agricultural activities, gaseous deposits from the air, waste water, sewage and industrial effluents and these industrial effluents may contain contaminants such as metallic ions that pose a threat to the natural ecosystem.32 There have been so far no reference values of heavy metals in population of Anambra State, Nigeria. This is possibly the first time an assessment of the level of these metals is being conducted in the blood of workers of the factory in question in Nnewi despite long term use of these metals and their related materials. However, some related reports had earlier emerged that assessed Ni, Cd and Pb levels in paint workers in nearby Nkpor, Anambra State,32 Pb in artisans occupationally exposed to it in the mechanic village in Nnewi, Nigeria33 and levels of lead from flaking paint chips from buildings in South Eastern, Nigeria.34 The impact of factory effluents on factory workers has been established to lead to high levels of heavy metals in the blood of workers.30 This work showed that of all the six heavy metals studied Ni, As and Pb were significantly elevated (p<0.05) in the factory workers while Cu, Zn and Se were reduced significantly (p<0.05) when compared with their control individuals. Surprisingly, the former group of heavy metals is generally toxic even at very low levels while those in the later group are required by the body, however, the latter group can be toxic when accumulated above the acceptable levels.35

The results of this work indicated a more than tenfold elevation in Ni level in the blood of workers of the factory studied when compared with the control. Ni is a metal used in making acid batteries, coins and jewelry.36 It is not surprising therefore that its levels in the blood of factory workers in Nnewi will be very high as evidenced by the results obtained from this study. These results are supported by the report of El-Shafei38 who showed that 25 nickel-plating workers overwhelmingly suffered from compromised liver function due to high Ni level obtained in their blood. The mean value of blood nickel obtained in this study was higher than those of other countries which could be attributed to reported prevalent environmental pollution in Nigeria. For instance, Llobet et al.reported that blood nickel concentration range of adults in Spain was 0.0008-0.0881 ppm.37 The mean value from this study was comparable with 0.25 ppm obtained from men in Nkpor and Nnewi in Anambra State by Orisakwe et al.32 The implication of this is that following the levels of nickel in this study, lead acid battery factory workers in Nnewi are more likely to suffer graded toxic effects of Ni such as hand eczema and high risk of respiratory cancer.36 Reports of blood nickel in occupationally exposed workers are scarce in Nigeria and Nnewi in particular, however, related report by Orisakwe et al.32 on the liver and kidney function tests among paint industry workers in Nkpor Nigeria, showed that Pb, Cd and Ni levels were significantly higher in the exposed workers than the unexposed individuals. Also, some other similar studies in this area have documented elevated levels of lead in the blood of cable and metal forging factory workers.38, 39

However, Cu level decreased significantly (p<0.05) in the factory workers under study when compared with the control individuals. This result differs from the earlier report of high copper level in the scalp hair of a group of workers in a copper smelter 40 and Solutto et al.41 who investigated copper exposure in the sera of a group of 68 industrial welders.42 Copper metal is a very important component of many enzymes especially those involved in redox cycling, mitochondrial respiration and iron absorption,43 however, low level of Cu observed in this work suggest that the workers may be exposed to adult-onset progressive neuropathy44 and development of severe blood disorders that may lead to myelodysplastic syndrome45 and alteration of some cellular constituents involved in anti-oxidant activities such as iron, selenium and glutathione metabolism.46

Zn levels in the factory workers were significantly decreased when compared with the control individuals in Nnewi. Zn is an important mineral element involved in a lot of metabolic activities of the body. Interestingly, the low level of zinc was not below the acceptable plasma zinc level of 9.2-20μmol/L. The low levels of this metal obtained in this work may have resulted from an inadequate intake or absorption of the metal by these individuals. The decreased Zn levels obtained in this work is similar to that by Dioka et al. on a group of artisan in Nnewi33and type 2 diabetic patients resident in Abakaliki by Nwosu and Nwosu.47 Lead appears to produce relative Zn deficiency.48 This is because as dietary zinc increases, lead absorption and its subsequent toxicity decrease.49 Zinc influences both tissue accumulation of lead and susceptibility to lead toxicity.50 It is probable therefore that decreases in zinc as reported in this work may enhance the toxicity of lead. The deficiency of zinc in these factory workers portend a great danger as the deficiency will compromise a lot of the important roles that zinc plays in human beings.

According to the report of the American Dermatitis Society,51 arsenic was voted Allergen of the Year, 2008. It is regarded as one of the most toxic substances known as a rat poison, and as a fungicide.4 The levels of this element obtained in this study were very high in the blood of the entire factory workers studied. This is a very worrisome issue bearing in mind that arsenic exposure can cause death52 and induce oxidative injury.53 The arsenic levels obtained in this work are above the 1µg/L (0.01µmol/L) recommended as permissible level in blood of adults54 and an earlier report by ATSDR55 suggested that arsenic levels may be high in certain areas as a result of weathering and anthropogenic activities including metal mining and smelting (mainly men), wood preservation (mainly men) and electronic industries using gallium and indium arsenide (mainly women).

Selenium levels in the factory workers obtained in this work were significantly decreased (p<0.05) when compared with the control. According to an analysis of NHANES data from 2003-2004, the mean serum selenium concentration in the U.S. adults aged 40 years or older is 13.67μg/dL (1.73μmol/L).56 This value is quite below the values obtained in the lead acid battery factory and the control. Selenium levels vary somewhat by region because of the amount of selenium in soil and in local foods consumed57 and Caucasians have higher Se levels than African Americans.58, 59 The decreased selenium levels as obtained in this study may pre-dispose these workers to selenium-deficiency related diseases such as male infertility and Kashin-Beck disease, a type of osteoarthritis that occurs in certain low-selenium areas of China, Tibet and Siberia.60, 61, 62

Lead (Pb) stands out as the most ubiquitous metal in the Nigerian environment, caused by combined effects of automobile emissions,63 industrial effluents,27 paint flakes,34 refuse dumps64 and electronic wastes.65 The levels of lead (Pb) obtained in the blood of factory workers in this work were significantly elevated (p<0.05) relative to that of the control individuals. This work agrees with the report of similar studies that blood Pb was significantly higher in the exposed workers than the control66, 67 and agrees further with the view that blood lead level is influenced by the occupational practices and roughly parallels the duration of occupational exposure.68 This finding confirms the notion that occupational exposure increases blood lead level in exposed individuals. The significant statistical finding of elevated blood lead values in this study is consistent with the various reports of similar workers.33 High blood levels had been noted to cause neurobehavioural and intelligence deficits and can lead to lyses of red blood cells as it inhibits the Na+-K+-ATPase pump attached to erythrocyte membrane.69 The result of this work is a serious source of concern. Several reported works indicated that lead is a toxin with no apparent threshold below which it is harmless. Elevated blood lead level in adults can damage the cardiovascular system (CVS), central nervous system CNS), reproductive, hematological and renal systems of work-related individuals and the individuals in the present study are not exempted.

In adults, blood lead levels have been reported to steadily increase with increasing age while in adults of all ages; men have higher blood lead levels than women.70 Heavy metals bio-accumulate as a particular chemical element remains in an individual over time.71 This work assessed the effect of age on the metal levels of the factory workers within some age groups: 18-30; 31-40; 41-50 and 51-60 years. Importantly, Ni, As and Pb were significantly elevated while Cu, Zn and Se were significantly reduced in some age groups, but none of them was significantly correlated with age which indicates that significant age effect could not be established in the levels of the metals in the present study. The reason for this result may be due to the fact that very few factory workers were involved in this study. Secondly, the durations of service in these factories were very low.    

Furthermore, the duration of exposure of workers in a particular environment affects the level of heavy metals in the blood of the workers.68 In this work, attempt was made to determine the effect of LOS on heavy metal levels in the workers under study. There was no significant correlation between any of the heavy metals and LOS in this study. This result does not agree with that of Ukaejiofo et al. who reported a significant increase in blood Pb level in lead handlers in Enugu State, Nigeria with a decrease with duration greater than 10 years72 and further with Adela et al. who reported a steady increase in the proportion of garage workers in Jimma Town, Ethiopia with higher blood lead levels with increase in service years.68 A possible explanation for the present result may be that periodic heavy metal determinations are not useful indicators of heavy metal exposure.73

Interestingly, there is increasing evidence that health effects of toxic metals differ in prevalence or are manifested differently in men and women.74 This work evaluated the effect of gender in the levels of these heavy metals in the factory workers. Although the result showed that the levels of the metals in this study were not statistically different (p>0.05) between the males and females individuals, there was elevated Pb levels in the males factory workers than the male control individuals. This result agrees with that of Becker et al.75 and WHO that men have higher blood lead than women probably because of exposure but also due to blood hematocrit as Pb is bound to erythrocytes.76 In a work reported by Orisakwe et al. a significant serum nickel in male was obtained when compared with female counterparts; however, no significant difference was obtained for blood lead and levels of the male and female groups when compared.32 In the present work, although gender difference could not be established, the Ni, As and Pb levels of males were significantly elevated in the factory males and females than their female control counterparts establishing the fact the factory environment has an influence on the metal levels in blood and this position was supported by the work of Ibeto and Okoye.77 The same trend was observed for Cu, Zn and Se which were significantly reduced (p<0.05) in the factory males and females than their female gender. Gender differences in exposure to toxic metals have been reported and there is increasing evidence that health effects of certain toxic metals are also manifested differently in males and females, due to differences in kinetics, mode of action or susceptibility.74 Metabolism of heavy metals such as Ni has shown markedly higher prevalence of nickel-induced allergy and hand eczema in women compared with men while men have higher blood Pb levels than women. Arsenic-related skin effects such as skin cancer have been observed in men than women.78, 79 Arsenic-related suppression of spermatogenesis in experimental animals have been observed80 probably by affecting pituitary gonadotrophins and inhibiting androgen production. Although high arsenic levels were observed in most of male workers than the female, the results of this present study did not show any gender difference in the levels of arsenic obtained in the blood of the factory workers.

Conclusion

In conclusion, this study showed elevated levels of Ni, As and Pb and decreased levels of Cu, Zn and Se in the blood of lead acid battery manufacturing factory workers when compared with the control individuals which implies that individuals in this factory are at a great risk of these heavy metal toxicity as well as suffering the effect of depletion of some the essential micro-minerals and this trend is quite worrisome and demands urgent attention.

Source of Funding

None.

Conflict of Interest

None.

References

1 

ATSDR. Health Consultation-Sulfolane. Atlanta, GA: US Department of Health and Human Services, Agency for Toxic Substances and Disease Registry, Division of Toxicology and Environmental Medicine, Prevention, Response and Medical Support Branch2011

2 

John H. Duffus "Heavy metals" a meaningless term? (IUPAC Technical Report)Pure Appl Chem20027457938070033-4545, 1365-3075Walter de Gruyter GmbH

3 

A C Bronstein D A Spyker L R Cantilena B H Rumack R C Dart Annual report of the American Association of Poison Control centers’ National Poison Data System (NDPS): 29th Annual ReportClin Toxicol (Phila)201250109111164

4 

ATSDR. Agency for Toxic Substances and Disease Registry. Toxicological profile for styrene. Atlanta, G.A: U.S. Department of Health and Human Services2010

5 

M R Singh Impurities-heavy metals: IR perspective. Indian pharmacopoeia commission2009

6 

G N Njar A I Iwara R A Offiong T D Deekor Assessment of Heavy Metal Status of Boreholes in Calabar South Local Government Area, Cross River State, NigeriaEthiopian J Environ Bull Manag20125186901998-0507African Journals Online (AJOL)

7 

John Kanayochukwu Nduka Orish Ebere Orisakwe Assessment of Environmental Distribution of Lead in Some Municipalities of South-Eastern NigeriaInt J Environ Public Health2010762501131660-4601MDPI AG

8 

Keli Zhao Xingmei Liu Jianming Xu H.M. Selim Heavy metal contaminations in a soil–rice system: Identification of spatial dependence in relation to soil properties of paddy fieldsJ Hazard Matter 20101811-3778870304-3894Elsevier BV

9 

Bieby Voijant Tangahu Siti Rozaimah Sheikh Abdullah Hassan Basri Mushrifah Idris Nurina Anuar Muhammad Mukhlisin A Review on Heavy Metals (As, Pb, and Hg) Uptake by Plants through PhytoremediationInt J Chem Engg201120111321687-806X, 1687-8078Hindawi Limited

10 

J A Bardin E E Eisen D H Wegman R J Gore Exposure in the Automobile IndustryAmerican Public Health20006780

11 

Orisakwe Orish Ebere Asomugha Rose Afonne Onyenmechi Johnson Obi Ejeatuluchukwu Chilaka Kingsley Chisorom Dioka Chudi Effect of Industrial Effluents on Water and Soil Qualities in Nnewi, NigeriaJ Health Sci1999454177831344-9702, 1347-5207Pharmaceutical Society of Japan

12 

Molly L. Kile Environmental Arsenic Exposure and DiabetesJAMA2008300784560098-7484American Medical Association (AMA)

13 

Ana Navas-Acien Arsenic Exposure and Prevalence of Type 2 Diabetes in US AdultsJAMA20083007814220098-7484American Medical Association (AMA)

14 

E J Tokar L Benbrahim-Tallaa M P Waalkes Metal ions in human cancer developmentMet Ions Life Sci20118263303

15 

R Asomugha O E Orisakwe O J Afonne E Obi J C Nduka C E Dioka Impact of Effluents from Cable Manufacturing Plant on Food, Water and Soil Qualities in Nnewi, NigeriaPak J Biol Sci 2005857447

16 

J C Akan F I Abdulrahman O A Sodipo Y A Chiroma Distribution of heavy metals in the liver, kidney and meat of beef, mutton, caprine and chicken from Kasuwan Shanu market in Maiduguri metropolis, Borno State, NigeriaRes J Appl Sci Eng Technol201027438

17 

Cob Okoye C N Ibeto J N Ihedioha Assessment of heavy metals in chicken feeds sold in south Eastern NigeriaAdv in Appl Sci Res201123638

18 

A N Okpogba E C Ogbodo E C Ugwu V N Oguaka F N Ujowundu Comparative assessment of heavy metal levels in chickens (gallus gallus domestica) in rural (elele) and urban (nnewi) areasAsian J Sci Technol2018091190569

19 

Monica Harmanescu Liana Maria Alda Despina Maria Bordean Ioan Gogoasa Iosif Gergen Heavy metals health risk assessment for population via consumption of vegetables grown in old mining area; a case study: Banat County, RomaniaChem Central J201151641752-153XSpringer Science and Business Media LLC

20 

Suruchi . Pankaj Khanna Assessment of Heavy Metal Contamination in Different Vegetables Grown in and Around Urban AreasBiol Trace Elem Res 20115316291819-3420Science Alert

21 

C Teijon R Olmo D Blanco A Romeo J M Teijon Low doses of lead: effects on reproduction and development in ratsBiol Trace Elem Res200611115165

22 

Toxicological profile for lead. U.S. Department of Health and Human Services, Public Health Human Services, Centers for Diseases ControlAtlanta, Canada2007

23 

C Draghichi G Cman C Jelescu C Dima E Chirila Heavy metals determination in environmental and biological samples. In: Environmental heavy metal pollution and effects on child mental development-risk assessment and prevention strategiesSofia, Bulgaria2010

24 

C. Vieira S. Morais S. Ramos C. Delerue-Matos M.B.P.P. Oliveira Mercury, cadmium, lead and arsenic levels in three pelagic fish species from the Atlantic Ocean: Intra- and inter-specific variability and human health risks for consumptionFood Chem Toxicol2011494923320278-6915Elsevier BV

25 

Zhihao Wu Yumei Du Hua Xue Yongsheng Wu Bing Zhou Aluminum induces neurodegeneration and its toxicity arises from increased iron accumulation and reactive oxygen species (ROS) productionNeurobiol Aging2012331199.e10197-4580Elsevier BV

26 

F Thévenod W K Lee Toxicology of cadmium and its damage to mammalian organsMet Ions Life Sci201311415490

27 

Orish Ebere Orisakwe Rose Asomugha Onyenmechi Johnson Afonne C. N. Anisi Ejeatuluchukwualo Obi Chudi Emma Dioka Impact of Effluents from a Car Battery Manufacturing Plant in Nigeria on Water, Soil, and Food QualitiesArch Environ Health20045913160003-9896Informa UK Limited

28 

J C Smith G P Butrimovitz W C Purdy Direct measurement of zinc in plasma by atomic absorption spectroscopy.Clin Chem19792581487910009-9147, 1530-8561Oxford University Press (OUP)

29 

D W Hessel A simple and rapid quantitative determination of lead in bloodAtomic Absorpt Newsletter19687505

30 

K L Njoku M O Akinola T M Zighadina A study of the spatial distribution of heavy metal in industrial area of Ikorodu, Lagos StateJ Res Environ Sci Technol2013236470

31 

M. Hutton C. Symon The quantities of cadmium, lead, mercury and arsenic entering the U.K. environment from human activitiesSci Total Environ1986571291500048-9697Elsevier BV

32 

O.E. Orisakwe E. Nwachukwu H.B. Osadolor O.J. Afonne C.E. Okocha Liver and kidney function tests amongst paint factory workers in Nkpor, NigeriaToxicol Ind Health200723316150748-2337, 1477-0393SAGE Publications

33 

C. Dioka O. Orisakwe F. Adeniyi S. Meludu Liver and Renal Function Tests in Artisans Occupationally Exposed to Lead in Mechanic Village in Nnewi, NigeriaInt J Environ Res Public Health 2004112151660-4601MDPI AG

34 

J K C Nduka O E Orisakwe C A Maduawguna Lead levels in paint flakes from buildings in Nigeria: a preliminary studyToxicol Ind Health2008248539420748-2337, 1477-0393SAGE Publications

35 

M N Chatterjea R Shinde Textbook of Medical Biochemistry7th edJayPee Brothers Medical Publications LtdNew Delhi2007

36 

T Sorahan Mortality of workers at a plant manufacturing nickel alloysOccup Med (Lond)1958542834

37 

J M Llobet S Granero A Torres M Schuhmacher J L Domingo Biological monitoring of environmental pollution and human exposure to metals in Tarragona, Spain III Blood levelsTrace Elements Electrolytes1998157680

38 

A N Okpogba E C Ogbodo C C Dike S O Nwoko E C Ugwu A K Amah Evaluation of heavy metal levels in blood of cable manufacturing factory workers in NnewiInt J Clin Biochem Res20196343062394-6369, 2394-6377Innovative Publication

39 

A N. Okpogba E C. Ogbodo E C. Ugwu C C. Dike S O. Nwoko A K Amah Assessment of heavy metal levels in blood of metal forging factory workers in nnewi, Anambra state, NigeriaJ Pharmaceut Biol Sci20197134402320-1924Innovative Publication

40 

M D Tshiashala K Kabengele B M Lumu Trace element determination in scalp hair of people working at a copper smelterBiol Trace Elem Res1990287294

41 

F Solutto C Romano G Piolatto A Chiesa E Capellaro G Discalzi Respiratory impairment and metal exposure in a group of 68 industrial weldersMed Lav19898020110

42 

Evert Nieboer Yngvar Thomassen Natalya Romanova Alexander Nikonov Jon Øyvind Odland Valery Chaschin Multi-component assessment of worker exposures in a copper refinery : Part 2. Biological exposure indices for copper, nickel and cobaltJ. Environ Monit2007976957001464-0325, 1464-0333Royal Society of Chemistry (RSC)

43 

H Tapiero D M Townsend K D Tev Trace elements in human physiologyCopper Biomed Pharmacother20035735698

44 

M Spinazzi De Lazzari F Tavolato B Angelini C Manara R Armani M Myelo-optico-neuropathy in copper deficiency occurring after partial gastrectomy. Do small bowel bacterial overgrowth syndrome and occult zinc ingestion tip the balance?J. Neurol200725410127

45 

B P Goodman E P Bosch M A Ross C Hoffman-Snyder D D Dodick B E Smith Clinical and electrodiagnostic findings in copper deficiency myeloneuropathyJ Neurol, Neurosurg Psychiatry200980552470022-3050BMJ

46 

J H Kägi A Schaffer Biochemistry of metallothioneinBiochem19882723850915

47 

O K Nwosu N G Nwosu Trace metals status of diabetic patients resident in AbakalikiAnimal Res Int201183144551

48 

S Telisman P Cvitković J Jurasović A Pizent M Gavella B Rocić Semen quality and reproductive endocrine function in relation to biomarkers of lead, cadmium, zinc, and copper in men.Environ Health Perspect2000108145530091-6765, 1552-9924Environmental Health Perspectives

49 

K R Mahaffey S G Carpar B C Gladen B A Fowler Concurrent exposure to lead, cadmium and arsenic: effects on toxicity and tissue metal concentrations in the ratJ Lab Clin Med19819846381

50 

A Peraza F Majories D S Ayala-Fieerro Casarez E Rael L T Effects of micronutrients onmetal toxicityEnvrion Health Perspect199810620315

51 

K K Das S N Das S A Dhundasi Nickel, its adverse health effects and oxidative stressIndian J Med Res2008128441225

52 

M. Valko H. Morris M. Cronin Metals, Toxicity and Oxidative StressCurr Med Chem20051210116112080929-8673Bentham Science Publishers Ltd.

53 

Su-Feng Fan Pei-Ling Chao Anya Maan-Yuh Lin Arsenite induces oxidative injury in rat brainAnn New York Acad Sci20101199127350077-8923Wiley

54 

Agency for Toxic Substances and Disease Registry (ATSDR).. Toxicological Profile for Arsenic. Atlanta, GA: U.S. Department of Health and Human Services, Public Health Services2007

55 

ATSDR. Interaction profile for Arsenic, dacdmium, chromium and lead. Ed. Health and human Services, US Department of health and human Sevives. Public Health Service, Atlanta, GA, USA2004

56 

M Laclaustra S Stranges A Navas-Acien J M Ordovas E Guallar Serum selenium and serum lipids in US adults: National Health and Nutrition Examination Survey (NHNES)Atheroslcerosis20032106438

57 

Margaret P. Rayman Food-chain selenium and human health: emphasis on intakeBr J Nutr20081002254680007-1145, 1475-2662Cambridge University Press (CUP)

58 

A S Niskar Serum selenium levels in the US population: Third National Health and Nutrition Examination SurveyBiol Trace Elem Res198891110

59 

Pengcheng Xun Deborah Bujnowski Kiang Liu J. Steve Morris Zhongqin Guo Ka He Distribution of toenail selenium levels in young adult Caucasians and African Americans in the United States: The CARDIA Trace Element StudyEnviron Res2011111451490013-9351Elsevier BV

60 

Y. Jirong P. Huiyun Y. Zhongzhe D. Birong L. Weimin Y. Ming Sodium selenite for treatment of Kashin-Beck disease in children: a systematic review of randomised controlled trialsOsteoarthritis Cartilage2012207605131063-4584Elsevier BV

61 

R A Sunde P M Coates J Betz M R Blackman 2nd ed SeleniumEncyclopedia of Dietary SupplementsInforma HealthcareLondon and New York20107118

62 

R A Sunde Ziegler A C Ross B Caballero R J Cousins K L Tucker SeleniumModern nutrition in health and disease11th edLippincott Williams and Wilkins Philadelphia, P.A201222537

63 

S E Kakulu Trace metal concentration in roadside surface soil ad tree bark: a measurement of local atmospheric pollution in Abuja NigeriaEnviron Monit Assess20038923342

64 

John Kanayochukwu Chiemezugo Nduka Orish Ebere Orisakwe Linus Obi Ezenweke Chioma Alex Abiakam Constance Kelechi Nwanguma Ugwuona John-Moses Maduabuchi Metal Contamination and Infiltration into the Soil at Refuse Dump Sites in Awka, NigeriaArch Environ Occup Health20066151972041933-8244, 2154-4700Informa UK Limited

65 

C W Schmidt Unfair trade, e-waste in AfricaEnviron Health Perspect20061442325

66 

Kayihan PALA Alpaslan TURKKAN Seref GUCER Erdinc OSMAN Hamdi AYTEKIN Occupational Lead Exposure: Blood Lead Levels of Apprentices in Bursa, TurkeyInd Health2009471971020019-8366, 1880-8026National Institute of Industrial Health

67 

A N. Okpogba E C Ogbodo E P Mounmbegna M N Izuogu A K Amah E E Onyeneke Assessment of heavy metal levels in blood of metal fabricating factory workers in Nnewi, NigeriaSantosh Univ J Health Sci2019511823Innovative Publication

68 

Yalemsew Adela Argaw Ambelu Dejene A Tessema Occupational lead exposure among automotive garage workers – a case study for Jimma town, EthiopiaJ Occup Med Toxicol201271151745-6673Springer Science and Business Media LLC

69 

David J. Hoffman Gary H. Heinz Daniel J. Audet Phosphorus Amendment Reduces Hematological Effects of Lead in Mallards Ingesting Contaminated SedimentsArch Environ Contam Toxicol200650342180090-4341, 1432-0703Springer Science and Business Media LLC

70 

E Rossi Low Level Environmental Lead Exposure – A Continuing ChallengeClin Biochem Rev / Aust Assoc Clin Biochem20082926370

71 

G N Njar AI Iwara R A Offiong T D Deekor Assessment of Heavy Metal Status of Boreholes in Calabar South Local Government Area, Cross River State, NigeriaEthiopian J Environ Studies Manag20125186901998-0507African Journals Online (AJOL)

72 

E O Ukaejiofo N Thomas S O Ike Haematological assessment of occupational exposure to lead handlers in Enugu urbanNiger J Clin Pract20091215864

73 

Paul Froom Estella Kristal-Boneh Jochanan Benbassat Ruth Ashkanazi Joseph Ribak Lead Exposure in Battery-Factory Workers Is Not Associated With AnemiaJ Occup Environ Med199941212031076-2752Ovid Technologies (Wolters Kluwer Health)

74 

Marie Vahter Agneta Åkesson Carola Lidén Sandra Ceccatelli Marika Berglund Gender differences in the disposition and toxicity of metalsEnviron Res2007104185950013-9351Elsevier BV

75 

K Becker S Kaus C Krause P Lepom C Schulz M Seiwert GerES III): environmental pollutants in blood of the German populationInt J Hyg Environ Health1998205297308

76 

World Health organization (WHO). Inorganic mercury: Environmental Health criteria, vol. 165: International Programme on Chemical Safety. World Health Organization, Geneva1995

77 

C.N. Ibeto C.O.B. Okoye High Levels of Heavy Metals in Blood of the Urban Population in NigeriaRes J Environ Sci201044371821819-3412Science Alert

78 

H Ahsan Y Chen F Parvez L Zablostska M Argos I Hussain Arsenic exposure from drinking water and risk of pre-malignant skin lesions in Bangladesh: Baseline results from health effects of arsenic longitudinal studyAm J Epidemiol2006163113848

79 

M Rahman M Vahter M A Wahed N Sohel M Yunus P K Streatfield Prevalence of arsenic exposure and skin lesions:A population-based survey on metalsBangladesh J Epidemiol Community Health20066032428

80 

M Sarkar G R Chaudhuri A Chattopadyay N M Biswas Effect of sodium arsenate on spermatogenesis, plasma gonadotrophins and testosterone in ratsAsian J Androl200352731



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Article type

Original Article


Article page

82-94


Authors Details

Aloysius Ngozyka Okpogba, Emmanuel Chukwuemeka Ogbodo, Ubuo Kalu Amah, Emmanuel Philippe Mounmbegna, Chikaodili Nwando Obi-Ezeani, Joy Chidinma Iwuji


Article Metrics


View Article As

 


Downlaod Files