Prevalence of tobacco use in selected Johannesburg suburbs

Background. Tobacco smoking is estimated to kill more than 44 000 South Africans every year. Studies have shown that since the introduction of tobacco control measures, national smoking prevalence has declined in South Africa (SA). Objective. To determine the prevalence of tobacco smoking over a 7-year period in five impoverished neighbourhoods in Johannesburg, SA.Methods. Data were collected through the annual administration of a prestructured questionnaire to one adult respondent in preselected dwellings from 2006 to 2012. Information was collected on socioeconomic status, smoking practices and health status.Results. Over the 7-year period of the analysis, smoking levels remained unchanged. The proportion of households with one or more smokers varied significantly across the five study neighbourhoods. Approximately 20% of households in Hillbrow and as many as 77% in Riverlea had a member who smoked.Conclusions. Despite a national downward trend in smoking levels, tobacco use remains high and persistent in certain vulnerable communities, requiring scaled-up action to reduce the risk of a range of tobacco-related diseases

The influence of HIV infection on the age dependence of squamous cell carcinoma of the skin in South Africa

Background. Cancer incidence typically increases with age, but it is not known whether ethnic characteristics influence the age dependence of squamous cell carcinoma of the skin (SCC).Objectives. (i) To determine the age dependence of SCC in the black African, coloured and white population groups of South Africa (SA); and (ii) to show whether any differences in the rate of change of age dependence could be influenced by diversity in behaviour and lifestyle, especially with regard to the prevalence of HIV infection, rather than by a fundamental variation in cancer biology between the populations.Methods. Linear regression analysis was applied to the logarithm of the age-specific incidence rates for SCC v. the logarithm of age between 35 and 74 years. The slopes of the regression (age exponent) were compared for each subset of gender, population group and year of diagnosis (between 2000 and 2010).Results. The most notable feature was the low value of the age exponent in both male and female black African compared with the white and coloured populations. This finding could be explained in part by the difference in the prevalence of HIV infection in the black African population group compared with the white and coloured population groups.Conclusions. The prevalence of HIV infection in black Africans in SA tends to decrease the apparent age component in SCC compared with the white and coloured population groups. Other factors relating to lifestyle and behaviour that differ between the population groups are also likely to influence the age component in SCC