Table 1

Characteristics of 6291 individuals from 24 sites included in the analytic sample for water-fetching injury, by region

SiteReporting any injury, %Female, %Age, mean (SD)Socioeconomic standing, mean (SD)*Rural, periurban, urban, %Water insecurity score, mean (SD)†On-premise water source, %‡Hours spent fetching water/week, median (IQR)Respondent responsible for water fetching, %§
Africa
Kisumu, Kenya (n=238)31.980.439.8 (15.3)7.7 (1.6)94.1, 5.9, 0.011.7 (5.6)25.23.3 (12.6)71.9
Accra, Ghana¶ (n=193)23.879.836.3 (12.5)6.5 (2.5)0.0, 100, 0.06.1 (6.4)0.01.0 (4.0)50.3
Lilongwe, Malawi (n=126)17.588.930.9 (11.0)7.3 (1.8)0.0, 99.2, 0.87.1 (5.6)26.42.3 (12.7)73.0
Lagos, Nigeria (n=174)15.577.739.4 (11.1)5.4 (2.1)0.0, 29.9, 70.12.5 (3.3)0.00.8 (1.5)36.8
Kahemba, Democratic Republic of Congo (n=389)15.265.638.4 (14.7)8.0 (1.6)0.3, 99.7, 0.015.3 (4.4)0.014.0 (7.0)53.5
Kampala, Uganda (n=176)13.671.636.0 (11.3)6.6 (1.5)1.1, 88.6, 10.27.1 (5.4)2.80.4 (1.3)59.7
Bahir Dar, Ethiopia (n=259)11.6100.036.0 (13.0)5.3 (2.2)87.6, 12.4, 0.04.1 (6.0)25.53.5 (9.3)47.5
Singida, Tanzania¶ (n=1005)5.554.233.3 (9.2)3.5 (1.5)100.0, 0.0, 0.01.7 (3.5)1.37.0 (10.5)45.5
Latin America and the Caribbean
Gressier, Haiti (n=289)¶**38.499.036.2 (14.1)n/a77.6, 22.4, 0.09.3 (8.4)6.7n/a77.2
Chiquimula, Guatemala¶
(n=134)
29.188.838.6 (15.9)8.0 (1.9)100.0, 0.0, 0.07.2 (5.8)35.69.7 (19.3)41.8
San Borja, Bolivia¶ (n=202)23.360.240.0 (14.7)5.9 (2.1)7.5, 5.8, 86.816.2 (7.5)15.60.1 (1.3)45.6
Cartagena, Colombia¶
(n=198)
23.268.240.6 (15.1)7.3 (2.3)0.0, 0.0, 100.020.6 (5.8)37.92.0 (4.5)60.3
Acatenango, Guatemala
(n=58)
10.394.348.9 (16.7)5.2 (2.7)62.5, 0.0, 37.55.5 (7.5)33.30.0 (0.0)33.3
Torreon, Mexico (n=248)3.273.046.2 (16.6)5.4 (2.2)0.0, 79.8, 20.28.3 (8.1)27.00.1 (0.3)59.4
Honda, Colombia (n=48)0.072.346.1 (17.8)5.9 (1.9)0.0, 2.1, 97.92.5 (3.2)41.70.0 (0.0)31.3
South Asia
Punjab, Pakistan¶ (n=234)29.157.335.9 (10.1)7.4 (1.6)68.4, 28.2, 3.419.6 (5.6)30.78.8 (8.3)0.9
Rajasthan, India¶ (n=245)17.126.941.8 (13.1)7.4 (1.8)100.0, 0.0, 0.012.6 (6.7)5.63.5 (7.0)37.9
Chakaria and Dhaka, Bangladesh (n=506)13.097.034.4 (12.6)6.3 (1.7)50.0, 0.0, 50.05.9 (7.6)50.21.2 (3.7)53.6
Pune, India (n=180)5.0100.029.5 (5.8)5.3 (2.1)12.8, 10.6, 76.71.5 (3.8)89.40.0 (0.0)77.2
Kathmandu, Nepal (n=239)1.770.341.3 (13.2)6.3 (1.7)0.0, 0.0, 100.05.4 (4.8)31.90.0 (0.1)68.2
East Asia and Pacific
Labuan Bajo, Indonesia
(n=197)
15.745.739.3 (11.9)7.6 (1.5)21.3, 45.7, 33.015.0 (7.1)6.20.5 (1.5)28.9
Middle East and North Africa
Sistan and Balochistan, Iran
(n=304)
3.099.033.3 (10.9)6.9 (2.4)39.8, 7.9, 52.35.7 (6.0)21.71.5 (1.3)7.9
Beirut, Lebanon¶ (n=573)2.663.743.0 (14.9)6.3 (2.5)0.0, 0.2, 99.86.8 (6.6)4.00.0 (0.4)72.6
Central Asia
Dushanbe, Tajikistan (n=76)6.667.142.4 (14.7)6.4 (1.8)0.0, 0.0, 100.09.1 (5.3)26.82.0 (4.3)43.4
Total13.472.337.6 (13.5)6.1 (2.4)43.1, 23.1, 33.87.2 (7.7)18.41.5 (7.0)50.7
  • *Using MacArthur Scale of Subjective Social Status; score out of 10, with 10 being the highest, comparing one’s own standing to the community.

  • †Score out of 33, where higher scores indicate greater household water insecurity.

  • ‡On-premise or neighbouring plot, compared with small vended quantity, off-premise with queueing and surface waters.

  • §Compared with shared responsibility, or responsibility of spouse, child or other family.

  • ¶Some respondents in these sites reported >1 injury.

  • **In Gressier, socioeconomic standing was asked as a three-part question, and we therefore could not compute a score; time to water source was asked as a categorical variable, so these data were also not available.