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Background: The health benefits of regular physical activity and exercise have been widely acknowledged. Yet physical inactivity remains an issue in South Africa. This study examines factors associated with physical activity amongst South Africans. Methods: This analysis used the 2012 nationally representative population-based household survey conducted using a multi-stage stratified cluster sampling design. Multinomial bivariate and multiple logistic regression models were used to determine whether physical activity is significantly influenced by socio-demographic and lifestyle related characteristics. Results: Out of 26339 individuals, 57.4 % (CI: 55.9-59) were not physically active, 14.8 % (CI: 13.6-16) were moderately physically active, and 27.8 % (CI: 26.6-29.1) were vigorously physically active. Relative to those who reported physical inactivity, having higher education and being of a higher socioeconomic status increased the likelihood of engaging in moderate physical activity. Increasing age, being female, and living in informal settlements decreased the likelihood of engaging in moderate physical activity. Increasing age, being female, being married, being from rural formal settlements, and having poorer self-rated health reduced the likelihood of engaging in vigorous physical activity. Conclusion: The findings suggest that there is a need for health promotion efforts targeting particular groups from selected socio-demographic strata including unhealthy individuals and those from disadvantaged communities.

BackgroundDespite a variety of contraceptives being available for women in South Africa, a considerable number of adolescent girls and young women still face challenges in using them. This paper examines socio-demographic and behavioral predictors of using contraceptives among adolescent girls and young women (AGYW) aged 15 to 24 years.MethodsA secondary data analysis was conducted based on the 2012 population-based nationally representative multi-stage stratified cluster randomised household survey. Multivariate backward stepwise logistic regression model was used to examine socio-demographic and behavioural factors independently associated with contraceptive use amongst AGYW aged 15 to 24 years in South Africa.ResultsOut of 1460 AGYW, 78% (CI: 73.9–81.7) reported using some form of contraceptives. In the model, contraceptive use was significantly associated with secondary education [OR = 1.8 (1.2–2.7),p = 0.005], having a sexual partner within 5 years of their age [OR = 1.8 (1.2–2.5),p = 0.002], and sexual debut at age 15 years and older [OR = 2.5 (1.3–4.6),p = 0.006]. The likelihood of association decreased with other race groups-White, Coloured, and Indians/Asians [OR = 0.5 (0.3–0.7),p = 0.001], being married [OR = 0.4 (0.2–0.7),p = 0.001], never given birth [OR = 0.7 (0.5–0.9),p = 0.045], coming from rural informal [OR = 0.5 (0.3–0.9),p = 0.010] and rural formal settlements [OR = 0.5 (0.3–0.9),p = 0.020].ConclusionsEvidence suggest that interventions should be tailor-made to meet the needs of AGYW in order to, promote use and access to contraceptives. The results also suggest that family planning interventions should target those who had not given birth in order to reduce unplanned and or unintended pregnancies and associated risk factors. These findings contribute to public health discourse and reproductive health planning for these age groups in the country.

Background South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15–24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW in South Africa. Methods A secondary data analysis was undertaken based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Multivariate stepwise backward and forward regression modelling was used to determine factors independently associated with HIV prevalence. Results Out of 3092 interviewed and tested AGYW 11.4% were HIV positive. Overall HIV prevalence was significantly higher among young women (17.4%) compared to adolescent girls (5.6%). In the AGYW model increased risk of HIV infection was associated with being young women aged 20–24 years (OR = 2.30, p = 0.006), and condom use at last sex (OR = 1.91, p = 0.010), and decreased likelihood was associated with other race groups (OR = 0.06, p

This paper estimates the prevalence of self-reported cataract and associated risk factors among individuals aged ≥50 years in South Africa. Data from a nationally-representative cross-sectional Study on Global AGEing and Adult Health (SAGE) (N = 3646) conducted in South Africa from 2007–2008 was analyzed. The primary outcome was self-reported cataract, and exposures included socio-demographics, self-reported co-morbidities, and behavioral factors. Linearized multivariate logistic regression models were used. The weighted prevalence of self-reported diagnosed cataract was 4.4% (95%CI: 3.4–5.8). Prevalence was greater among individuals with advancing age (10.2%), higher quality of life (QoL) (5.9%), education (5.2%), and wealth (5.8%) than their counterparts. Prevalence was also higher among individuals with depression (17.5%), diabetes (13.3%), hypertension (9.1%), and stroke (8.4%) compared to those without these conditions, with the exception of obesity (4.2%). In the final multivariate model, the odds of self-reported cataract were: 4.14 times higher among people ≥70 years than 50 to 59 year olds (95%CI: 2.28–7.50); 2.48 times higher in urban than rural residents (95%CI: 1.25–4.92); 5.16, 2.99, and 1.97 times higher for individuals with depression (95%CI: 1.92–13.86), hypertension (95%CI: 1.60–5.59), and diabetes (95%CI: 1.07–3.61), compared to those without these conditions.