A comparison of risky sexual behaviours between circumcised and uncircumcised men aged 30-44 years in Botswana

Balekang, Galekgatlhe Bailey; Dintwa, Kakanyo Fani

doi:10.4314/ahs.v16i1.14

Cited by 10 publications

(11 citation statements)

References 17 publications

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“…Seidu et al [ 15 ] showed in their study that SAM in rural areas had lower odds to pay for sex, compared to men in urban areas. Other studies in Botswana [ 30 ], China [ 31 ], and Cambodia [ 32 ] have also reported that SAM in urban areas are more exposed to STIs due to their higher odds of paying for sex. Disparities in socio-economic and healthcare access between urban and rural areas in SSA could partly explain this trend.…”

Section: Discussionmentioning

confidence: 99%

A multi-country cross-sectional study of self-reported sexually transmitted infections among sexually active men in sub-Saharan Africa

et al. 2020

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Background Despite the importance of self-reporting health in sexually transmitted infections (STIs) control, studies on self-reported sexually transmitted infections (SR-STIs) are scanty, especially in sub-Saharan Africa (SSA). This study assessed the prevalence and factors associated with SR-STIs among sexually active men (SAM) in SSA. Methods Analysis was done based on the current Demographic and Health Survey of 27 countries in SSA conducted between 2010 and 2018. A total of 130,916 SAM were included in the analysis. The outcome variable was SR-STI. Descriptive and inferential statistics were performed with a statistical significance set at p < 0.05. Results On the average, the prevalence of STIs among SAM in SSA was 3.8%, which ranged from 13.5% in Liberia to 0.4% in Niger. Sexually-active men aged 25–34 (AOR = 1.77, CI:1.6–1.95) were more likely to report STIs, compared to those aged 45 or more years. Respondents who were working (AOR = 1.24, CI: 1.12–1.38) and those who had their first sex at ages below 20 (AOR = 1.20, CI:1.11–1.29) were more likely to report STIs, compared to those who were not working and those who had their first sex when they were 20 years and above. Also, SAM who were not using condom had higher odds of STIs (AOR = 1.35, CI: 1.25–1.46), compared to those who were using condom. Further, SAM with no comprehensive HIV and AIDS knowledge had higher odds (AOR = 1.43, CI: 1.08–1.22) of STIs, compared to those who reported to have HIV/AIDS knowledge. Conversely, the odds of reporting STIs was lower among residents of rural areas (AOR = 0.93, CI: 0.88–0.99) compared to their counterparts in urban areas, respondents who had no other sexual partner (AOR = 0.32, CI: 0.29–0.35) compared to those who had 2 or more sexual partners excluding their spouses, those who reported not paying for sex (AOR = 0.55, CI: 0.51–0.59) compared to those who paid for sex, and those who did not read newspapers (AOR = 0.93, CI: 0.86–0.99) compared to those who read. Conclusion STIs prevalence across the selected countries in SSA showed distinct cross-country variations. Current findings suggest that STIs intervention priorities must be given across countries with high prevalence. Several socio-demographic factors predicted SR-STIs. To reduce the prevalence of STIs among SAM in SSA, it is prudent to take these factors (e.g., age, condom use, employment status, HIV/AIDS knowledge) into consideration when planning health education and STIs prevention strategies among SAM.

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Section: Discussionmentioning

confidence: 99%

A multi-country cross-sectional study of self-reported sexually transmitted infections among sexually active men in sub-Saharan Africa

et al. 2020

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“…The finding that men in rural areas had lower odds to pay for sex, compared to men in urban centres, is supported by studies in Botswana ( Balekang & Dintwa, 2016 ), China (Pan, Parish, & Huang, 2011) and Cambodia ( Dizechi et al, 2018 ) where it was found that men in urban areas were significantly more likely to pay for sex. The reason could be that the sex partners of men who pay for sex may be predominant in urban areas.…”

Section: Discussionmentioning

confidence: 78%

“…Previous studies have revealed that socio-demographic, economic and behavioral factors are associated with paid sex among men. The socio-demographic factors include age ( Girchenko et al, 2015 ; Jewkes et al, 2012 ; Rich et al, 2018 ; Rissel et al, 2017 ), educational level ( Choudhry et al, 2015 ; Dizechi et al, 2018 ; Galvan, Ortiz, Martinez, & Bing, 2009 ; Jewkes et al, 2012 ; Pitts, Smith, Grierson, O'brien, & Misson, 2004 ), place of residence ( Balekang and Dintwa, 2016 , Dizechi et al, 2018 , Pan, Parish, & Huang, 2011 ) marital status ( Belza et al, 2008 ; Rissel et al, 2017 ; Schei & Stigum, 2010 ; Ward et al, 2005 ) and wealth status ( Dizechi et al, 2018 ; Jewkes et al, 2012 ; Jones et al, 2015 ; Rich et al, 2018 ). It has also been found that exposure to mass media (newspapers, magazines, radio and television) are associated with risky sexual practices, which may include paid sex ( Asekun-Olarinmoye, Asekun-Olarinmoye, Adebimpe, & Omisore, 2014 ; Bleakley, Hennessy, Fishbein, & Jordan, 2011 ; Fisher, Hill, Grube & Grube, 2004 ).…”

Section: Introductionmentioning

confidence: 99%

Paid sex among men in sub-Saharan Africa: Analysis of the demographic and health survey

Seidu

Darteh

Kumi-Kyereme

et al. 2020

SSM - Population Health

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Background Paying for sex is regarded as a risky sexual behavior (RSB) among heterosexual men. Men paying for sex are considered to be a bridging population for sexually transmitted infections (STIs). Despite the link between paid sex and sexual and reproductive health outcomes such as STIs, little is known about the prevalence and factors associated with paid sex among men in sub-Saharan Africa. This study examined the prevalence of paid sex and the socio-demographic factors associated with it among men in sub-Saharan Africa. Methods The study made use of pooled data from the Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 3, 2016 in 27 countries in sub-Saharan Africa. Binary and multivariable logistic regression models were used to investigate the relationship between the explanatory and the outcome variables. Results The results of the study showed that of the 139,427 men who participated in the study, 4.3% reported they had paid for sex in the 12 months preceding the survey. Men in Mozambique had the highest proportion (13.6%) of paying for sex in the 12 months preceding the survey. The results of the multivariable analysis indicated that men from DR Congo [AOR = 9.74; 95% CI = 7.45–12.73], men who had completed only primary level of education [AOR = 1.31; 95% CI = 1.18–1.45], men aged 25–34 years [AOR = 2.84; 95% CI = 2.26–3.56], men belonging to “other” religious groups [AOR = 1.20; 95% CI = 1.09–1.32] and men who were employed [AOR = 1.73; 95% CI = 1.58–1.90] had higher odds of paying for sex. Men who were divorced [AOR = 4.52; 95% = 3.89–5.25], men who read newspaper/magazine almost every day [AOR = 1.34; 95% CI = 1.12–1.63], men who listened to radio almost every day [AOR = 1.19; 95% CI = 1.05–1.36] and men who watched television at least once a week [AOR = 1.10; 95% CI = 1.01–1.19] also had higher odds of paying for sex. On the other hand, men in rural areas [AOR = 0.88; 95%CI = 0.82–0.95], men in the richest wealth quintile [AOR = 0.83; 95%CI = 0.74–0.93] and those with tertiary level of education [AOR = 0.77; 95% CI = 0.65–0.90] had lower odds of paying for sex. Conclusion The odds of paid sex were high among men with only primary level of education, men aged 25–34, men who professed ‘other’ religious affiliation, men who are employed and men who are divorced. However, paid sex was low among men in the richest wealth quintile, men with tertiary level of education and men living in rural areas. This means that the decision to pay for sex is influenced by several social and demographic factors. Hence, these factors should be taken into consideration for sexual and reproductive health interventions and services. Policy and interventional measures should aim at reducing high-risk behavior of men who pay for sex.

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“…Finally, there was no information about the patients addiction to alcohol, smoke or maybe drug abuse in the SEER database, and these factors can also impact the survival of AML patients [ 41 , 42 ]. The studies by Park B et al and Balekang GB et al have indicated that patients with unmarried status were more prone to such addiction habits [ 43 , 44 ]. So, the physician should pay attention to such adverse factors, particularly in unmarried AML patients.…”

Section: Discussionmentioning

confidence: 99%

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study

Zheng

Zhu

et al. 2017

Oncotarget

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ObjectiveThis study investigated the impact of marital status on cancer-caused specific mortality among acute myeloid leukemia (AML) patients in the United States.MethodsWe used the Surveillance, Epidemiology and End Results program to identify 50,825 patients who had their clinical and follow-up information available and were diagnosed for AML between the years 1988 and 2015. The univariate and multivariable Cox regression models were used to analyze the patient data, and to minimize the group differences due to covariates between groups, a 1:1 propensity score matching was used in subsequent subgroup analysis.ResultsOur study demonstrated that married patients were less likely to die due to AML after adjusting for demographic and clinicopathological variables, than patients with variable unmarried status. Further analysis indicated that widowed, divorced and never married status correlated with poor cancer-cause specific survival than being married in almost all subgroups after being adjusted for the aforementioned variables (P<0.05). However, the difference between married and separated was not apparent. Moreover, similar survival analysis results were also observed in the 1:1 matched subgroups of marital status, but they displayed varied prognostic factors between them. The association of survival benefit with marriage in AML was consistent with the published survival benefit of conventional therapeutic approaches.ConclusionOverall, our study concluded that unmarried AML patients were at greater risk of cancer-specific mortality than married, and thus indicated that physicians should focus on health care strategies that target social support, in order to reduce the cancer-specific mortality in unmarried patients.

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A comparison of risky sexual behaviours between circumcised and uncircumcised men aged 30-44 years in Botswana

Cited by 10 publications

References 17 publications

A multi-country cross-sectional study of self-reported sexually transmitted infections among sexually active men in sub-Saharan Africa

A multi-country cross-sectional study of self-reported sexually transmitted infections among sexually active men in sub-Saharan Africa

Paid sex among men in sub-Saharan Africa: Analysis of the demographic and health survey

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study

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