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. 2019 Sep 12;53:78. doi: 10.11606/s1518-8787.2019053001081

Table 1. Characteristics of the studies included in the systematic review and prevalence of sexual violence. (n = 60).

First author and year of study Country(ies)/ host region Data collection location Period of data collection Instrument of study Sampling (n) Mean age of sample (years) Female proportion (%) Global SV prevalence (%)* Prevalence of SV by sex


Start End Female Male
Allodi14 (1990) Canada USS 1979 1985 NI 56 NI 50.0 NI 64.3 39.3
Fornazzari15 (1990) Canada USS NI NI Collection in records 36 37 100.0 22.2 22.2 NA
Mckelvey16 (1995) Philippines USS NI NI RQ 102 NI 33.3 9.8 8.8 10.3
Peel17 (1996) United Kingdom USS and detention centers 1993 1994 Collection in records 92 NI 21.7 33.7 80 20.8
Frljak18 (1997) Bosnia and Herzegovina USS 1993 1994 Collection in records 241 NI 100.0 3.3 3.3 NA
Silove19 (1998) Australia NI NI NI HTQ 96 NI NI 0.0 0.0 0.0
Gorst-Unsworth20 (1998) United Kingdom USS NI NI HTQ 84 39 0.0 14.3 NA 14.3
Loutan21 (1999) Switzerland USS 1993 1994 HTQ 573 27 36.3 2.3 NI NI
Blair22 (2000) USA USS and households 1991 1991 WTS 124 37 60.5 5.6 NI NI
Hondius23 (2000) Netherlands USS NI NI NI 156 NI 34 23.1 26.4 21.4
Petersen24 (2000) Thailand RC 1999 1999 RQ 129 36 37.2 NI 6.3 NI
Iacopino25 (2001) Macedonia and Albania RC 1999 1999 RQ 11,458 NI NI 0.03 NI NI
Tang26 (2001) Gambia RC 1999 1999 HTQ 80 41.3 48.8 1.3 NI NI
Crescenzi27 (2002) India Villages 1995 1995 HTQ 150 NI 37.3 NI NI NI
Sabin28 (2003) Mexico RC 2000 2000 HTQ 170 37.9 58.2 3.5 NI NI
Cardozo29 (2004) Thailand RC 2001 2001 HTQ 495 NI 57.4 NI 2.8 2.9
Sesay30 (2004) Sierra Leone RC and villages 2001 2011 RQ 400 NI 100.0 11.3 11.3 NA
Thomas31 (2004) United Kingdom NI NI NI NI 100 16 41 32 63.4 10.2
Asgary32 (2006) USA USS 1998 2002 Istanbul Protocol 89 34 13.5 NI NI NI
Avdibegovic33 (2006) Bosnia and Herzegovina USS and RC 2000 2002 Modified DVI 50 NI 100.0 30.0 30.0 NA
Bradley34 (2006) United Kingdom USS NI NI NI 97 30 14.4 8.2 28.6 2.4
Schweitzer35 (2006) Australia Community 2003 2003 HTQ 63 34.2 33.3 11.1 19 7.1
Olsen36 (2006) Denmark USS 1991 1994 RQ 221 35.6 12.7 11.3 NI NI
Bogner37 (2007) England USS 2004 2005 RQ 27 NI 59.3 55.6 68.8 36.4
Edston38 (2007) Sweden USS 1993 2005 NI 63 28 100.0 76.2 76.2 NA
Hammoury39 (2007) Lebanon USS 2005 2005 AAS 349 28 100.0 26.4 26.4 NA
Hooberman40 (2007) USA USS 2000 2003 HTQ 325 33.5 38.8 28.9 NI NI
John-Langba41 (2007) Botswana RC NI NI SGBV 402 29.2 100.0 99.8 99.8 NA
Kira42 (2007) USA NI NI NI CTS 501 35.7 45.3 1.2 NI NI
Piwowarczyk43 (2007) USA USS 1999 2002 NI 134 34 65.7 50.0 NI NI
Chang44 (2008) USA USS 2001 2001 NI 243 10.6 51.9 4.9 NI NI
Nagai45 (2008) Uganda RC and villages 1999 2000 RQ 1,216 NI 78.0 NI 18.1 16.9
Harrison46 (2009) Uganda RC and villages 2006 2006 BSS 1,158 NI 52.4 NI 3.8 NI
Mitike47 (2009) Ethiopia RC 2004 2004 RQ 288 NI 100.0 42.4 42.4 NA
Williams48 (2010) United Kingdom USS 2005 2005 NI 178 30.4 35.4 25.8 54.0 10.4
Schubert49 (2011) Finland USS NI NI HTQ 78 37.6 37.2 NI NI NI
Tamblym50 (2011) USA USS 2004 2007 HTQ modified 58 34.7 29.3 20.7 NI NI
Bogic51 (2012) Germany, Italy and United Kingdom Households and communities 2005 2006 LSC 854 41.6 51.3 5.2 NI NI
Kira52 (2012) USA NI 2006 2006 CTS 209 NI 0.0 90.9 NI NI
Parmar53 (2012) Republic of Cameroon Villages 2010 2010 NI 191 35.1 100.0 40.8 40.8 NA
Black54 (2013) USA USS and Community 2004 2004 CREV SECV 196 13.8 45.9 4.6 NI NI
Falb55 (2013) Thailand RC 2008 2008 RHA 861 30.1 100.0 NI NI NA
Tufan56 (2013) Turkey USS 2005 2007 SLESQ 67 30.6 41.8 20.9 46.4 2,6
Gibson-Helm57 (2014) Australia USS 2002 2011 NI 1,279 NI 100.0 5.7 5.7 NA
Idemudia58 (2014) Polokwane, South Africa City NI NI RQ 125 28.3 42.3 NI NI NI
Morof59 (2014) Uganda NI 2010 2010 HTQ RQ 117 31.6 100.0 71.8 71.8 NA
Bell60 (2015) Ruanda RC 2008 2008 RHA toolkit 810 29 100.0 8.0 8.0 NA
Connor61 (2015) USA Community NI NI RQ 30 31.8 100.0 93.3 93.3 NA
Sipsma62 (2015) Ruanda RC NI NI RHA toolkit 548 32 100.0 38.1 38.1 NA
Al-Modallal63 (2016) Jordan RC NI NI AAS 238 32.7 100.0 21.0 21.0 NA
Chu64 (2016) USA Communities and households 2014 2014 RQ 15 NI 100.0 60.0 60.0 NA
Lerner65 (2016) USA USS 2010 2013 RQ 267 34 33.0 33.3 NI NI
Um66 (2016) South Korea NI 2010 2010 CTS2 180 39.8 100.0 25.6 25.6 NA
Wirtz67 (2016) Ethiopia RC 2012 2012 ASIST-GBV 487 NI 100.0 NI NI NA
Gušić68 (2017) Sweden Schools USS NI NI WRGTI 77 NI 35.0 12.0 NI NI
Hopkinson69 (2017) USA USS 2008 2013 HTQ RQ 61 28.8 37.7 62.3 NI NI
Logie70 (2017) Canada Communities and social networks 2013 2015 RQ 42 NI 100.0 52.0 52.0 NA
Riley71 (2017) Bangladesh RC NI NI HTQ 148 34 52.8 13.0 NI NI
Stark72 (2017) Ethiopia RC 2015 2015 NI 919 14.6 100.0 65.3 65.3 NA
Wright73 (2017) USA Agencies of settlement 2011 2012 HTQ 298 NI 45.0 NI 1.5 NI

SV: sexual violence; NA: not applicable; NI: not informed; RC: refugee camps; USA: Unites States of America; USS: health services units; RQ: research questionnaire; HTQ: Harvard Trauma Questionnaire; STAR: Resettlement Stressor Scale; WTS: War Trauma Scale; DVI: Domestic Violence Inventory; AAS: Abuse Assessment Screen; SBGV: Sexual and Gender-based Violence Scale; CTS: Revised Conflict Tactics Scales; CREV: Children’s Report of Exposure to Violence; SECV: Survey of Exposure to Community Violence; BSS: Behavioral Surveillance Surveys Questionnaire; SLESQ: Stressful Life Events Screening Questionnaire; LEC: Life Events Checklist; ASIST-GBV: Assessment Screen to Identify Survivors Toolkit for Gender Based Violence; LSC: Life Stressor Checklist; RHA: Reproductive Health Assessment; WRGTI: War/refugee and general trauma inventory

* The global prevalence of SV was calculated from the total number of cases reported by the studies or, when there was no such information, by the total sum of the specific cases reported (e.g. cases of rape, sexual harassment, etc.). However, in five studies32,49,55,58,67, the global prevalence could not be estimated since the authors did not report the total number of cases. It was not possible to calculate it from the sum of the typified prevalence because there were victims who suffered more than one type of SV, which would overestimate the calculation of the global prevalence.