| Literature DB >> 30400192 |
Brilliance Onyinyechi Anyanwu1, Anthonet Ndidiamaka Ezejiofor2, Zelinjo Nkeiruka Igweze3, Orish Ebere Orisakwe4.
Abstract
The drive for development and modernization has come at great cost. Various human activities in developed and developing countries, particularly in sub-Saharan Africa (SSA) have given rise to environmental safety concerns. Increased artisanal mining activities, illegal refining, use of leaded petrol, airborne dust, arbitrary discarding and burning of toxic waste, absorption of production industries in inhabited areas, inadequate environmental legislation, and weak implementation of policies, have given rise to the incomparable contamination and pollution associated with heavy metals in recent decades. This review evaluates the public health effects of heavy metals and their mixtures in SSA. This shows the extent and size of the problem posed by exposure to heavy metal mixtures in regard to public health.Entities:
Keywords: Sub-Saharan Africa; environmental pollution; epidemiology; heavy metal mixtures; public health effects
Year: 2018 PMID: 30400192 PMCID: PMC6316100 DOI: 10.3390/toxics6040065
Source DB: PubMed Journal: Toxics ISSN: 2305-6304
Figure 1Study selection flow diagram.
Figure 2Conceptual framework of human exposure to heavy metal mixture from the environment.
Figure 3Attack of heavy metals on a cell resulting in the production of reactive oxygen species (ROS).
Figure 4Biotransformation of hepatotoxicants.
Figure 5A conceptual framework of metal mixture effects on the kidney.
Figure 6A conceptual framework of metal mixture exposure, mode of action, and disease outcome in the brain, the - sign indicates inhibition of cellular elements and the + sign rising apoptotic factors.
Figure 7Five predominant cancers in both males (A) and females (B) living in Rivers State (Cancer in Nigeria, 2009–2013).
Heavy metal pollution in Sub-Saharan Africa.
| Country/Region | Pollution Source | Pb | Cd | Mn | Cu | Fe | Zn | Cr | Ni | As | Ref. |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Nigeria/Kaduna | Soil | 0.87–1.41 | 0.0014–8.02 | 13.21–42.15 | 1425.0–1981.6 | 10.10–112.04 | 21.35–358.00 | [ | |||
| Nigeria/Kaduna | Vegetable | 0.0014–0.001 | 0.013–2.12 | 0.582–8.65 | 331.6–1252 | 14.19–69.07 | 0.058–2.80 | [ | |||
| Nigeria/Niger Delta | Water | 39 ± 33 | 2.4 ± 3.1 | 16.1 ± 7.4 | 107 ± 7.9 | 42 ± 17 | [ | ||||
| Nigeria/Ibadan | Water | 0.162–0.195 | 0.279–0.315 | 8.744–10.307 | 5.063–5.096 | 0.052–0.059 | 0.103–0.133 | [ | |||
| Nigeria/Benin | Soil | 227 ± 160 | 2.0 ± 2.9 | 562 ± 510 | 94.5 ± 150 | [ | |||||
| Nigeria/Akwa Ibom | Fish | 0.013 ± 0.003 | 0.011 ± 0.004 | 81.36 ± 5.06 | 223.0 ± 23.47 | 0.044 ± 0.05 | 0.017 ± 0.02 | [ | |||
| South Africa/Pretoria | Soil | 12.8–145 | 0.09–0.98 | 33.9–140 | 39.3–97.6 | 43.6–101 | [ | ||||
| Kenya/Nairobi | Vegetable | 0–2.4 | 0–3.02 | 0.52–21.34 | 20.13–89.85 | 0–1.24 | [ | ||||
| Kenya/Nairobi | Soil | 0.57–20 | 0–2.6 | 3.59–75.37 | 14.62–198.3 | 0.03–1.4 | [ | ||||
| Ghana/Accra | Soil | 184.44 | 103.66 | 202.99 | 72.00 | [ | |||||
| South Africa/Philippi horticultural area | Water | 0.04 ± 0.006 | 0.01 ± 0.002 | 0.02 ± 0.002 | 0.02 ± 0.003 | 0.02 ± 0.003 | 0.06 ± 0.009 | 0.02 ± 0.002 | [ | ||
| South Africa/Philippi horticultural area | Soil | 19.24 ± 2.91 | 0.74 ± 0.18 | 96.74 ± 12.29 | 14.53 ± 2.02 | 30.13 ± 3.93 | 1.71 ± 0.40 | [ | |||
| South Africa/Philippi horticultural area | Vegetable | 2.32 ± 0.91 | 0.22 ± 0.09 | 41.64 ± 5.21 | 5.55 ± 0.57 | 54.12 ± 9.24 | 2.68 ± 0.52 | 0.34 ± 0.25 | [ | ||
| Zimbabwe/Bulawayo | Water | 0.19 ± 0.03 | 0.06 ± 0.03 | [ | |||||||
| Zimbabwe/Bulawayo | Sediment | 51.67 ± 2.36 | 7.33 ± 0.76 | 79.17 ± 7.64 | 108.33 ± 17.02 | [ | |||||
| Zimbabwe/Bulawayo | Fish | 35 | 5 | 120 | 10 | [ | |||||
| Cameroon/Yaounde | River sediment | 20.3–249 | 2.8–15.6 | 42.8–142 | 26.8–341 | 94.7–199 | 2.68–32.7 | [ | |||
| Ethiopia | Vegetable | 0.345 | 130 | 130 | 24.11 | [ | |||||
| Ghana | Fish | 0.028 | 2.31 | [ | |||||||
| Ghana/Iture | Water | 0.075 | 0.041 | 2.45 | 2.45 | [ | |||||
| Ghana/Kumasi | Soil | 54.6 | 2.87 | 2606 | 2606 | [ | |||||
| Ghana/Tarkwa | Water | 1.3 | [ | ||||||||
| Kenya | Water | 0.496 | 0.01 | 1.95 | [ | ||||||
| Kenya/Nairobi | Soil | 264 | 40 | 105 | 462 | 157 | [ | ||||
| Namibia | Sediment | 10500 | 205 | 1950 | [ | ||||||
| Nigeria | Herbal medicines | 27 | 4.75 | 97.5 | 25.5 | 78 | [ | ||||
| Nigeria/Calabar | River sediment | 20 | 0.2 | 64 | 15 | 184 | 65 | 67 | [ | ||
| Nigeria/Ibadan | River surface water | 0.046 | 0.0044 | 0.0033 | 0.018 | 0.14 | 0.0031 | [ | |||
| Nigeria/Kano | Vegetable | 13.19 | 0.735 | 12.89 | [ | ||||||
| Nigeria/Lagos | Soil | 67.5–426 | 1.61–5.31 | [ | |||||||
| Nigeria/Niger Delta | Water | 0.025–0.064 | 0.01–0.11 | 0.03–0.081 | 0.03–0.09 | [ | |||||
| Nigeria/Niger Delta | Fish | 0.3 | 0.03 | 0.53 | 0.21 | [ | |||||
| Nigeria/Ogun | Fish | 3.4 | 2.1 | 5 | 20.35 | 2.3 | [ | ||||
| Nigeria/Osogbo | Soil | 92.07 | 3.6 | 37.9 | 71.9 | 17.3 | [ | ||||
| South Africa | Water | 16.3 | 72 | 42.6 | 27.6 | [ | |||||
| Tanzania | Vegetable | 4.9 | 0.3 | [ | |||||||
| Tanzania, along Lake Victoria | Water sediment | 54.6 | 7 | 26.1 | 83.7 | 12.9 | [ | ||||
| Uganda | Vegetable | 18.7 | 1.87 | [ | |||||||
| Uganda, along Lake Victoria | Water | 1.44 | 0.02 | 0.16 | 0.02 | 0.13 | [ | ||||
| Zambia | Sediment | 12,855 ± 1445 | 1030 ± 58 | [ | |||||||
| Zambia | Sediment | 9.75 | 0.8 | 125 | 130 | 220 | [ | ||||
| Zimbabwe | Water | 1.02 | 0.12 | 2.48 | 2.37 | [ | |||||
| Zimbabwe Harare | Vegetable | 6.77 | 3.68 | 0.05 | 111 | 221 | 16.1 | [ |
Blood lead levels (ug/dL) and public health effects in Sub-Saharan Africa.
| S/N | Age Groups | Sex | Place of Study (City/Country) | Condition | Reported Concentrations | Disease Scenarios | Exposure Scenarios | Ref. |
|---|---|---|---|---|---|---|---|---|
| 1 | Adults | F | Abeokuta, Southwest Nigeria | Pregnant | 54.50 ± 4.4 | Spontaneous abortion, premature delivery, pregnancy complications, still birth, hypertension, low birth weight | Non-occupationally exposed | [ |
| 2 | Adults | M | Nkpor, Nigeria | N/A | 39.00 ± 4.00 | Increases risk of hypertension and liver damage | Occupationally exposed | [ |
| 3 | Adults | M | Nkpor, Nigeria | N/A | 17.00 ± 4.00 | Increases risk of hypertension and liver damage | Non-occupationally exposed | [ |
| 4 | Adults | F | Niger Delta, Nigeria | Pregnant | 40.00 ± 16.50 | Spontaneous abortion, premature delivery, pregnancy complications, still birth, hypertension, low birth weight | Non-occupationally exposed | [ |
| 5 | Adults | F | Niger Delta, Nigeria | Non-pregnant | 27.7 ± 1.10 | Hypertension, increased risk of renal failure, cardiovascular attacks | Non-occupationally exposed | [ |
| 6 | Adults | M/F | Oshodi, Dopemu, & Ojota in Southwest Nigeria | N/A | 155.42 | Increases risk of hypertension and liver damage, endocrine disorder, reproductive disorder | Occupationally exposed | [ |
| 7 | Adults | M | Port Harcourt, Nigeria | N/A | 50.37 ± 24.58 | Increases risk of hypertension and liver damage | Occupationally exposed | [ |
| 8 | Adults | M | Port Harcourt, Nigeria | N/A | 41.40 ± 26.85 | Increases risk of hypertension and liver damage | Non-exposed | [ |
| 9 | Children | M/F | Nigeria | N/A | >10 or >20 | Increases risk of hypertension and liver damage | Non-exposed | [ |
| 10 | Adults | M | Abeokuta, Nigeria | N/A | 48.50 ± 9.08 | Increases risk of hypertension and liver damage | Exposed | [ |
| 11 | Adults | M | Southwest, Nigeria | N/A | 63.00 ± 9.00 | Increases risk of hypertension and liver damage | Exposed | [ |
| 12 | Adults | M | Southwest, Nigeria | N/A | 61.00 ± 11.00 | Increases risk of hypertension and liver damage | Non-exposed | [ |
| 13 | Children | M/F | Allada, Benin Republic | N/A | 46.6 | Lowers intelligent quotient scores, aggressive and violent behaviours | Environmentally exposed | [ |
| 14 | Adults | F | Allada, Benin Republic | Non-pregnant | 55.1 | Increases risk of hypertension and liver damage | Environmentally exposed | [ |
| 15 | Adults | M | Kinshasa (Democratic Republic of Congo) | N/A | 127 | Increases risk of hypertension and liver damage | Environmentally exposed | [ |
| 16 | Children | M/F | Kinshasa(Democratic Republic of Congo) | N/A | 11.5 | Lowers intelligent quotient scores, aggressive and violent behaviours | Environmentally exposed | [ |
| 17 | Children | M/F | Northwest, Nigeria | N/A | 143.8 | Lowers intelligent quotient scores, aggressive and violent behaviours | Environmentally exposed | [ |
| 18 | Adults | F | Abakaliki, Nigeria | Pregnant | 40.0 ± 16.5 | Spontaneous abortion, premature delivery, pregnancy complications | Environmentally exposed | [ |