Table 3.
Authors, Reference, Year | Country | Study Population | Proportions or Rates of Potential Risk Factors | Potential Risk Factors/Risk Factors Identified | |||
---|---|---|---|---|---|---|---|
Davis and Smith, 1982 [33] | South Africa (Cape Town) | 1,500,000 people | Alcohol | ||||
Knobel et al., 1984 [28] | South Africa | 3248 children < 15 years | Race | Race: whites | |||
Coloured | 10.7% | ||||||
White | 16.1% | ||||||
Black | 7.9% | ||||||
Gender | Male | ||||||
Male | 11.7% | ||||||
Female | 9.7% | ||||||
Age | |||||||
<1 year | 6.9% | Age: 6–14 | |||||
1–5 years | 12.8% | ||||||
6–14 years | 20.3% | Summer season | |||||
Weekends | |||||||
Davis and Smith 1985 [24] | South Africa (Cape Town) | 1,600,000 people | Race | Race: Black race for adults >30 years | |||
Black race | 32.3/100,000 | White race for children 0–5 years | |||||
Colored | 24.2/100,000 | Male | |||||
White | 13.4/100,000 | ||||||
Gender | |||||||
Male | 38.7/100,000 | ||||||
Female | 8.3/100,000 | ||||||
Age | Age: 21–30 | ||||||
0–5 years | 13.3% | ||||||
6–10 years | 5.8% | ||||||
11–15 years | 4.9% | ||||||
16–20 years | 10.98% | ||||||
21–30 years | 25.14% | Summer season | |||||
31–40 years | 15.61% | Swimming pools | |||||
>40 years | 24.28% | Alcohol | |||||
Grainger 1985 [60] | Seychelles | 119 drowning deaths | Age | Age: 40–49 years | |||
0–9 years | 6.72% | Epilepsy | |||||
10–19 years | 13.44% | Head injury | |||||
20–29 years | 16.8% | Time of day: 12–2 pm | |||||
30–39 years | 18.5% | ||||||
40–49 years | 21.8% | ||||||
50–59 years | 12.6% | ||||||
60–69 years | 5.88% | ||||||
70+ years | 4.2% | ||||||
Gender | |||||||
Male | 109 deaths | Male | |||||
Female | 10 deaths | ||||||
Kibel et al., 1990 [31] | South Africa | 14,118 children under 15 years of age (injuries related death) | Age | Age: 1–4 years | |||
<1year | 7.4% | ||||||
1–4 years | 23.0% | ||||||
5–14 years | 20.1% | ||||||
Race | <1 year | White race for children <1 year to 4 years | |||||
Blacks | 6.7% | Black race for children aged 5–14 years | |||||
Whites | 9.5% | Site: | |||||
Coloured | 8.3% | Swimming pools for white children | |||||
Asians | 6.4% | Dams and rivers for older black children | |||||
1–4 years | |||||||
Blacks | 18.8% | ||||||
Whites | 42.7% | ||||||
Coloured | 22.1% | ||||||
Asians | 9.4% | ||||||
5–14 years | |||||||
Blacks | 21.9% | ||||||
Whites | 12.7% | ||||||
Coloured | 21.2% | ||||||
Asians | 9.4% | ||||||
Flisher et al., 1992 [42] | South Africa | 9288 adolescent deaths due to external causes | Race | 10–14 years | Age: 10–14 years | ||
Whites | 6.3% | Black race for adolescents 10–14 years old | |||||
Coloured | 25.2% | Asian race for adolescents 15–19 years old | |||||
Asians | 12.7% | Summer season | |||||
Black | 24.2% | ||||||
Race | 15–19 years | ||||||
Whites | 4.2% | ||||||
Coloured | 9.7% | ||||||
Asians | 12.5% | ||||||
Black | 6.3% | ||||||
Lerer et al., 1997 [32] | South Africa (Cape Town) | 3690 non-natural mortality | Age | Number of drowning deaths | Age: 0–14 years | ||
0–14 years: | 35 | ||||||
15–24 years: | 10 | ||||||
25–34 years | 16 | ||||||
35–44 years | 16 | ||||||
45–54 years | 12 | ||||||
55–64 years | 3 | ||||||
65–74 years | 1 | ||||||
75+ years | 3 | ||||||
Kobusingye et al., 2001 [55] | Uganda (Mukono district) | 34 fatal injuries | Age | % of drowning | Age: 10–39 years | ||
<10 years | 0% | Extensive water surface | |||||
10–19 years | 18% | ||||||
20–29 years | 18% | ||||||
30–39 years | 18% | ||||||
40–49 years | 0% | ||||||
>50 years | 0% | ||||||
Moshiro et al., 2001 [59] | Tanzania | 1478 deaths due to injuries all age groups | Female gender/100,000 population | Females; | |||
Dar es Salaam | Hai District | Morogoro | 0–4 years (across the three districts) | ||||
0–4 years | 7.0 | 17.1 | 6.9 | ||||
5–14 years | 2.2 | 5.0 | 6.0 | Males: | |||
15–59 years | 5.2 | 3.0 | 4.2 | Dar es Salaam: 15–59 years | |||
60+ years | 2.8 | 4.6 | Hai District: 0–4 years | ||||
Morogoro: 60 years and above | |||||||
Male gender/100,000 population | |||||||
Dar es Salaam | Hai District | Morogoro | |||||
0–4 years | 3.4 | 12.3 | 12.1 | ||||
5–14 years | 4.9 | 9.0 | 3.6 | ||||
15–59 years | 12.4 | 10.6 | 7.9 | ||||
60+ years | 8.5 | 16.1 | |||||
Meel BL, 2008 [27] | South Africa (Mthatha) | 405 drowning deaths | Male | Female | Male | ||
1–10 years | 23.4% | 6.9% | Age: 1–20 years | ||||
11–20 years | 15.2% | 9.2% | |||||
21–30 years | 9.8% | 4.7% | |||||
31–40 years | 11.3% | 2.8% | |||||
41–50 years | 5.0% | 1.3% | |||||
51–60 years | 3.8% | 0.6% | |||||
61+ years | 3.1% | 2.5% | |||||
Burrows et al., 2010 [35] | South Africa | 2923 injury deaths of children aged 0–14 years | Drowning rate per 100,000 | ||||
Gender | |||||||
Female | 2.1 | Buffalo City | |||||
Male | 5.3 | ||||||
Male | |||||||
Population group | |||||||
Asian | 0.9 | ||||||
White | 4.3 | ||||||
Coloured | 2.0 | ||||||
African | 4.3 | African | |||||
City | |||||||
Tshwane | 2.9 | ||||||
Cape Town | 2.2 | ||||||
Johannesburg | 4.2 | ||||||
eThekwini | 3.8 | ||||||
Nelson Mandela | 3.7 | ||||||
Buffalo City | 9.2 | ||||||
Ohene et al., 2010 [46] | Ghana (Accra) | 151 injury related deaths among adolescents aged 10–19 years | Gender | Male | |||
Female | 25% | ||||||
Male | 44% | ||||||
Age | |||||||
10–14 years | 46% | Age: 10–14 years | |||||
15–19 years | 33% | ||||||
Garrib et al., 2011 [40] | South Africa | 1022 injury related deaths | Age | Children aged 0–15 years | |||
0–15 years | 65% | ||||||
>15 years | 35% | ||||||
Gender (rate/100,000 person years) | |||||||
Male | 6.2 | Male | |||||
Female | 3.4 | ||||||
Mamady et al., 2012 [58] | Guinea | 7066 fatal injuries | Female | Ref | |||
Male | OR 2.8; 95% CI (2.3–3.5) | ||||||
0–4 years | Ref | ||||||
5–14 years | OR 2.0; 95% CI (1.1–3.5) | ||||||
15–24 years | OR 8.9; 95% CI (5.3–15.0) | ||||||
25–64 years | OR 7.0; 95% CI (4.2–11.7) | ||||||
65+ years | OR 7.9; 95% CI (4.4–14.3) | ||||||
Seleye-Fubara et al., 2012 [50] | Nigeria (Niger-delta region) | 85 drowning deaths | Alcohol | ||||
Hard drugs | |||||||
Epilepsy | |||||||
Donson and Nickerk, 2013 [25] | South Africa | 1648 drowning deaths | Age (rate/100,000) | ||||
0–4 years | 6.3 | 0–4-year age group | |||||
5–14 years | 2.2 | ||||||
15–29 years | 1.7 | Swimming pools | |||||
30–44 years | 1.8 | ||||||
45–59 years | 1.4 | Alcohol use | |||||
60+ years | 1.2 | ||||||
Gender (rate/100,000) | December | ||||||
Male | 3.4 | ||||||
Female | 0.9 | Male | |||||
Odhiambo et al., 2013 [57] | Kenya | 11,147 adult deaths due to trauma | Gender | ||||
Female | 13% | Male | |||||
Male | 87% | ||||||
Age | |||||||
<40 years | 83% | Young adults (<40 years of age) | |||||
>40 years | 17% | ||||||
Weldearegawi et al., 2013 [45] | Ethiopia (Kilite Awlaelo surveillance site) | 409 deceased | Gender | Male | |||
Female | 1.7% | ||||||
Male | 2.9% | ||||||
Chasimpha et al., 2015 [48] | Malawi (Karonga district) | 59,947 people (children and adults) in Karonga district | Children from fishing households | OR 3.07; 95% CI (1.03–9.10) ‡ | |||
Adult male with fishing as a source of income | OR 2.45; 95% CI (1.17–5.14) ‡ | ||||||
Adult males who are fishermen | OR 2.92; 95% CI (1.42–5.98) ‡ | ||||||
Adult females who have other occupations | OR 4.04; 95% CI (1.22–13.4) ‡ | ||||||
Joanknecht et al., 2015 [30] | South Africa (Cape Town) | 75 children admitted for a submersion incident | Public pools and the ocean for children older than 5 years of age | ||||
Private pools, baths and buckets for children less than 5 years | |||||||
Matzopoulos et al., 2015 [36] | South Africa | 52,493 injury related deaths | Gender (rate/100,000 population) | Male | |||
Female | 1.2 | ||||||
Male | 5.7 | ||||||
Pretorius and Niekerk, 2015 [33] | South Africa (Guateng) | 5404 fatal injuries in children aged 0–19 years | Age | ||||
0–1 year | 9.4% | Age: 2–3 years | |||||
13.4% | 2–3 years | 16.8% | |||||
4–6 years | 13..4% | ||||||
7–12 years | 13.1% | ||||||
13–19 years | 3.0% | ||||||
Mathews et al., 2016 [37] | South Africa (Western Cape and KwaZulu-Natal) | 711 child deaths | Age | ||||
<1 year | 1.1% | Age: 1–4 years | |||||
1–4 years | 5.8% | ||||||
5–14 years | 5.0% | ||||||
15–17 years | 1.9% | ||||||
Morris et al., 2016 [26] | South Africa (Pretoria) | 346 deaths due to external causes | Gender | ||||
Female | 21% | Male | |||||
Male | 79% | ||||||
Race | |||||||
Black | 71% | Black race | |||||
White | 24% | ||||||
Coloured | 4% | ||||||
Asian | 1% | ||||||
Age | Age >18 years | ||||||
<1 year | 15% | ||||||
1–2 years | 19% | Summer months (December to February) | |||||
2–13 years | 18% | Alcohol | |||||
13–18 years | 3% | Swimming pool | |||||
>18 years | 45% | ||||||
Kobusingye et al., 2017 [54] | Uganda (Buikwe; Kampala; Mukono; Wakiso) | 2804 people (population in the community) | Access to water bodies (for transportation or fishing) | ||||
Overloading | |||||||
Stormy weather | |||||||
Old age of boats | |||||||
Meel BL, 2017 [34] | South Africa | 24,693 deaths due to unnatural causes | Gender | Female | |||
Female | 6.07% | ||||||
Male | 4.8% | ||||||
Gelaye et al., 2018 [44] | Ethiopia | 623 injury related deaths | Gender | Female | |||
Female | 22% | No formal education (illiterates) | |||||
Male | 21.1% | ||||||
Saunders et al., 2018 [43] | South Africa (Western Cape) | 1391 drowning deaths | Age (rate/100,000 population) | Age: 0–19 years | |||
Children (0–19 years) | 3.8 | ||||||
Adults (20+ years) | 3.0 | ||||||
Gender (rate /100,000 population) | |||||||
Female | 1.2 | Male | |||||
Male | 5.3 | Access to large open bodies of water | |||||
Summer season (December, January, February) | |||||||
Ossei et al., 2019 [47] | Ghana | 1470 unnatural deaths | Age | Age: 0–9 years | |||
≤9 years | 40% | ||||||
10–19 years | 17.14% | ||||||
20–29 years | 17.14% | ||||||
30–39 years | 10.48% | ||||||
40–49 years | 6.67% | ||||||
50–59 years | 3.81% | ||||||
60–69 years | 2.86% | ||||||
≥70 years | 1.90% | ||||||
Gender | Male | ||||||
Female | 22.9% | ||||||
Male | 77.1% |
‡ Risk factors for external death, which also applies to drowning.