Table 2.
Findings on socio-structural risk factors
| Author Year Country | Socio-demographics | Factors promoting entry into bar work | Bar environment |
|---|---|---|---|
|
Nagot 2002 Burkina Faso [9] |
Ages 16–34; 36% foreign; 54% illiterate | – | – |
|
Van Blerk 2007 Ethiopia [24] |
Ages 14–19 | Poverty | Many FBWs in debt to bar owner |
|
Van Blerk 2008 Ethiopia [23] |
Almost all migrated from other regions | Family financial need; escape from FGM & early marriage; disowned by family | Some clients give money without sex |
|
Van Blerk 2011 Ethiopia [25] |
Most migrated from rural areas If in hometown, work in bars far from home |
– | Current economic situation depends on type of bars they work in |
|
Sori 2012 Ethiopia [3] |
Often migrated from rural areas; 32% currently married | Early marriage leading to divorce leading to poverty | |
| Messersmith 2014 Ghana [6] | Mean age 25; 47% completed high school; 75% unmarried; 19% married/cohabiting 6% divorced | Poverty | Verbal and emotional abuse at bars common |
|
Kishindo 1995a Malawi [26] |
Mean age 19; 5–8 years of education; 10% previously married, none now; 12% have children; 97% migrated from rural areas | Economic need for self or family; minority are looking for husband | FBWs are highly mobile and change between bars |
|
Kishindo 1995b Malawi [8] |
Mean age 22; all have some formal education & are literate; almost all migrated from rural areas | To earn money (87%), incl. For school fees, to support family; to meet man with good job; unintended pregnancy | – |
|
Mhalu 1991 Tanzania [27] |
– | – | – |
|
Mnyika 1995 Tanzania [28] |
– | – | – |
|
Talle 1995 Tanzania [7] |
Mean age 20; most finished primary school; all single or divorced; many had teen pregnancy |
Economic need; independent lifestyle; escape from gender roles Typically poor but not the poorest prior to bar work |
– |
|
Talle 1998 Tanzania [10] |
Education rate higher than average; most have multi-ethnic background | Economic need; following friend/relative; freedom to make decisions; escape from rural life | 1 year post-interview, 90% had changed work place |
|
Mgalla 1997 Tanzania [29] |
Mean age 25; 80% have 5 years of education; Half migrated to district; 50% single, 50% divorced; most have children | Economic need; boredom; family troubles; left school due to pregnancy, illness, poverty or forced marriage | Bar business models vary: some pay FBWs wages, others do not |
|
Riedner 2003 Tanzania [30] |
Mean age 25; 54% attended secondary school; 21% living with partner, 44% widowed /divorced | – | – |
|
Akarro 2009 Tanzania [1] |
Modal age 20–24; 73% attended primary school; 81% single, 17% separated; 70% have children | – | – |
|
Beckham 2013 Tanzania [31] |
60% aged 20–29, 40% aged 30–39; 77% primary schooling; 57% single, 33% divorced /separated, 10% widowed; 90% have children | – | – |
|
Ostermannn 2015 Tanzania [32] |
– | – | – |
|
Gysels 2002 Uganda [2] |
Mean age 30; Marriages: mean of 2, if over 35 mean of 3.5; median of 2 children | Poverty; family troubles; early, often forced, sex leading to pregnancy; easier than farm work | – |
|
Ntozi 2003 Uganda [33] |
Age range 15–30 | – | – |
BW Bar work; CAGE Cut Down, Annoyed, Guilty and Eye Opener (alcohol use screening test); FBW Female bar worker; FGM Female genital mutilation; SW Sex work. Cells marked “-” were not addressed by the study in question