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Spatiality in Health: The Distribution of Health Conditions Associated with Electronic Waste Processing Activities at Agbogbloshie, Accra Cover

Spatiality in Health: The Distribution of Health Conditions Associated with Electronic Waste Processing Activities at Agbogbloshie, Accra

Open Access
|Mar 2020

Figures & Tables

Table 1

Coordinates of mapped out areas.

DescriptionX (Longitude)Y (Latitude)
BIF–0.224785.553944
FA–0.226535.552306
MWE–0.224475.553111
NCP–0.2255.553778
NEW–0.226425.554167
SCP–0.226695.551056
SCWB–0.225225.551528
SE–0.227315.550583
SWE–0.2245.552472
WB–0.223975.553278
WBE–0.216675.553278
Figure 1

Spatial distribution of e-waste processing activities at Agbogbloshie.

Table 2

Demographic characteristics of study subjects.

CharacteristicActivity spaceP-value
CollectingSortingDismantlingBurningTotal
AgeP = 0.010
<203 (8.6)1 (6.3)7 (18.0)9 (40.9)20 (17.9)
20–2922 (62.9)7 (43.8)23 (59.0)11 (50.0)63 (56.3)
30 – 398 (22.9)6 (37.5)8 (20.5)0 (0.0)22 (19.6)
40+2 (5.7)2 (12.5)1 (2.6)2 (9.1)7 (6.3)
Mean (SD)26.1 (6.8)28.1 (7.6)24.5 (6.1)22.1 (9.9)25.3 (7.5)
Marital status
Unmarried16 (45.7)6 (37.5)18 (46.2)10 (45.5)50 (44.6)
Married19 (54.3)10 (62.5)21 (53.9)12 (54.6)62 (55.4)
Highest educationP = 0.314
None16 (45.7)8 (50.0)11 (28.2)4 (18.2)39 (34.8)
Primary9 (25.7)4 (25.0)13 (33.3)10 (45.5)36 (32.1)
Junior High3 (8.6)0 (0.0)6 (15.4)4 (18.2)13 (11.6)
Secondary7 (20.0)4 (25.0)8 (20.51)3 (13.6)22 (19.6)
Region
Northern33 (94.3)14 (87.5)33 (84.6)20 (90.9)100 (89.3)
Others2 (7.1)2 (12.5)6 (15.4)2 (9.1)12 (10.7)
Ethnic group
Dagomba33 (94.3)14 (87.5)27 (69.2)15 (68.2)89 (79.5)
others2 (5.7)2 (12.5)11 (28.2)7 (31.8)22 (19.6)
Length of workP = 0.497
6–12 months4 (11.4)1 (6.25)4 (10.3)4 (18.2)13 (11.6)
1–5 years13 (37.1)4 (25.0)11 (28.2)10 (45.5)38 (33.9)
>517 (48.6)11 (68.8)24 (61.5)8 (36.4)60 (53.6)
Daily working hours
5–10 hours9 (25.7)3 (18.8)9 (23.8)5 (22.7)26 (23.2)
11–15 hours24 (68.6)12 (75.0)30 (76.9)16 (72.7)82 (73.2)

[i] Fischer’s exact p-value was used due to low cell count, below 5.

Table 3

Injury experience among e-waste worker groups.

Characteristic AssessedActivity spaceStatistic P-value
CollectorsSortersDismantlersBurnersTotal
Injuriesb
Cuts30 (85.7)13 (81.3)37 (94.9)20 (90.9)100 (96.2)0.799
Lacerations10 (26.3)5 (31.3)29 (74.4)12 (54.5)56 (46.6)0.208
Abrasions1 (2.8)3 (18.9)15 (38.5)3 (13.6)22 (16.3)0.038
Total no. of cases35 (100.0)16 (100.0)39 (100.0)22 (100.0)112 (100.0)

[i] b Multiple responses allowed for various injuries and skin conditions. Fischer’s exact p-value was used due to low cell count, below 5.

Table 4

Skin conditions among the different worker-category/activity space.

Characteristic AssessedActivity spaceStatistic P-value
CollectorsSortersDismantlersBurnersTotal
Skin conditionsb
Rashes27 (96.4)14 (87.5)39 (100.0)19 (90.5)99 (93.6)0.275
Scars3 (10.7)3 (8.5)4 (10.5)6 (28.6)16 (14.6)0.201
Skin peeling003 (7.9)1 (4.8)4 (3.9)0.368
Cumulative no. of cases35 (100.0)16 (100.0)39 (100.0)22 (100.0)112 (100.0)
Burns<0.001
No30 (93.8)14 (93.3)31 (88.6)5 (22.7)80 (76.9)
Yes2 (6.3)1 (6.7)4 (11.4)17 (77.3)24 (23.1)
Cumulative burns32 (100.0)15 (100.0)35 (100.0)22 (100.0)104 (100.0)
Mean Scar #s/person35163622112
Number Mean17.021.430.627.024.3
Stand. dev9.810.512.110.912.3
P501623323025.5
IQR1514.5131018

[i] b Multiple responses allowed for various injuries and skin conditions. Fischer’s exact p-value was used due to low cell count, below 5. Stand dev – standard deviation, P50 – 50th Percentile, IQR-Intra Quartile Range.

Table 5

Association between injury levels and worker-characteristics.

CharacteristicInjuriesTotal no. of casesP-value
CutsLacerationsAbrasions
Age0.250
<2014 (77.8)4 (22.2)2 (11.1)18
20–2946 (80.7)12 (21.1)5 (8.8)57
30–3914 (82.4)4 (23.5)2 (11.8)17
40+2 (33.3)2 (33.3)2 (33.3)6
Marital status0.114
Unmarried36 (81.8)6 (13.6)2 (4.6)44
Married40 (74,1)16 (29.6)9 (16.7)54
Length of work0.901
6–12 months10 (83.3)2 (16.7)2 (16.7)12
1–5 years25 (75.8)7 (21.2)3 (9.1)33
>540 (77.3)13 (25.0)6 (11.5)52
Daily working/hours0.416
5–10 hours15 (71.4)5 (23.8)1 (4.8)21
11–15 hours59 (80.8)15 (20.6)9 (12.3)73
Table 6

Mean systolic and diastolic blood pressure across activity spaces.

CharacteristicActivity spaceP-value
CollectingSortingDismantlingBurningTotal
Blood pressure
Mean systolic Hg123.1 ±11.3120.7 ± 11.7121.7 ± 12.8119.7 ± 3.9121.6 ± 12.30.773
Mean diastolic Hg72.8 ± 8.773.1 ± 10.574.1 ± 8.772.4 ± 9.573.2 ± 9.00.887
Hypertension0.315
Normotensive29 (82.9)16 (100.0)36 (92.3)20 (90.9)101 (90.2)
Hypertensive6 (17.1)0 (0.0)3 (7.7)2 (9.1)11 (9.8)
Total35 (100.0)16 (100.0)39 (100.0)22 (100.0)112 (100.0)

[i] ANOVA used to test for association.

DOI: https://doi.org/10.5334/aogh.2630 | Journal eISSN: 2214-9996
Language: English
Published on: Mar 18, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Abenaa Adusei, John Arko-Mensah, Mawuli mdzodzomenyo, Judith Stephens, Afua Amoabeng, Saskia Waldschmidt, Katja Löhndorf, Kwame Agbeko, Sylvia Takyi, Lawrencia Kwarteng, Augustine Acquah, Paul Botwe, Prudence Tettey, Andrea Kaifie, Michael Felten, Thomas Kraus, Thomas Küpper, Julius Fobil, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.