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In Sub-Saharan Africa, lots of efforts have been geared toward the mitigation of high HIV/AIDS prevalence (Painter, 2001; Williams, Lloyd-Smith, Gouws, & Hankins, 2006; Lawn, Harries, Anglaret, Myer, & Wood, 2008). Despite the gargantuan efforts however, the Global statistical comparison on HIV and AIDS sadly indicate that the Sub-Saharan Africa still remains the region most heavily affected by HIV worldwide (UNAIDS, 2008). Gleaned from the information, the Sub-Saharan Africa accounted for over two thirds (67%) of all people living with HIV which undoubtedly also led to about three quarters (72%) of AIDS-related deaths in 2008. While the efforts at reducing its prevalence have been continuous, the dimension of fatalism-risky sexual behaviour on the persistently high HIV prevalence is however neither so much understood nor investigated.
OBJECTIVE
To examine the relationship between personal and psychosocial factors, their classification power, and predictive validity on HIV-Fatalistic risky sexual behaviour practices of participants from Nigeria and Lesotho
METHOD
The analytical survey design subsumed within the quantitative approach was applied on 800 screened participants for being sexually active and are 21 years and above to investigate the role of fatalism on risky sexual behaviour in HIV/AIDS prevention. The Fatalism-HIV/AIDS Risky Sexual Behaviour Inventory (Fat-HIV/AIDSRiSBEI).
RESULTS
Overall, although both psychosocial and personal factors independently predicted HIV-fatalistic risky sexual behaviour practices in the participants (p<0.05), the combination of the two predictor variables however showed that only HIV-fatalism (HIVFAT) and gender (GENLOG) remained in the new path model prediction equation as (HIVRiskySeBe) = a+ b1x1 (HIVFAT) +b2x2 (GENLog).
CONCLUSION
As the sad history of high HIV/AIDS prevalence in especially the Sub-Saharan Africa is no more news, to harness the benefits and application of multi-behaviour modification strategies has therefore become urgent in combating its prevalence generally, but specifically in Lesotho and Nigeria.
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Learning Objectives: Learning Objectives: 1. Participants attending the section would acquire additional skills for articulating more understanding and knowledge in multi-behavioural factors (i.e. fatalism) predicting HIV-Risky Sexual Behavioural Practices in Sub-Saharan Africa. 2. Participants at the end of the section presentation should be able to: (i) Itemize, recognize, define, explain and discuss the relationship between personal and psycho-social factors in risky sexual behavioural practices globally generally but, specifically in Sub-Saharan Africa. (ii) Articulate, identify, describe, explain and explain the personal and psychosocial predictor variables that finally entered in the prediction equation. This means the combination of the two predictor variables which are HIV-fatalism (HIVFAT) and gender (GENLOG) that remained in the new Path Model Prediction Equation as (HIVRiskySeBe) = a+ b1x1 (HIVFAT)+b2x2 (GENLog).(iii). Participants’ schematically sketching a Path Model for HIV-Risky Sexual Behaviour