Tobacco smoking, smoking cessation and life expectancy among people with HIV on antiretroviral therapy in South Africa: a simulation modelling study.

INTRODUCTION: As access to effective antiretroviral therapy (ART) has improved globally, tobacco-related illnesses, including cardiovascular disease, cancer and chronic respiratory conditions, account for a growing proportion of deaths among people with HIV (PWH). We estimated the impact of tobacco smoking and smoking cessation on life expectancy among PWH in South Africa. METHODS: In a microsimulation model, we simulated 18 cohorts of PWH with virologic suppression, each homogenous by sex, initial age (35y/45y/55y) and smoking status (current/former/never). Input parameters were from data sources published between 2008 and 2022. We used South African data to estimate age-stratified mortality hazard ratios: 1.2-2.3 (females)/1.1-1.9 (males) for people with current versus never smoking status; and 1.0-1.3 (females)/1.0-1.5 (males) for people with former versus never smoking status, depending on age at cessation. We assumed smoking status remains unchanged during the simulation; people who formerly smoked quit at model start. Simulated PWH face a monthly probability of disengagement from care and virologic non-suppression. In sensitivity analysis, we varied smoking-associated and HIV-associated mortality risks. Additionally, we estimated the total life-years gained if a proportion of all virologically suppressed PWH stopped smoking. RESULTS: Forty-five-year-old females/males with HIV with virologic suppression who smoke lose 5.3/3.7 life-years compared to PWH who never smoke. Smoking cessation at age 45y adds 3.4/2.4 life-years. Simulated PWH who continue smoking lose more life-years from smoking than from HIV (females, 5.3 vs. 3.0 life-years; males, 3.7 vs. 2.6 life-years). The impact of smoking and smoking cessation increase as smoking-associated mortality risks increase and HIV-associated mortality risks, including disengagement from care, decrease. Model results are most sensitive to the smoking-associated mortality hazard ratio; varying this parameter results in 1.0-5.1 life-years gained from cessation at age 45y. If 10-25% of virologically suppressed PWH aged 30-59y in South Africa stopped smoking now, 190,000-460,000 life-years would be gained. CONCLUSIONS: Among virologically suppressed PWH in South Africa, tobacco smoking decreases life expectancy more than HIV. Integrating tobacco cessation interventions into HIV care, as endorsed by the World Health Organization, could substantially improve life expectancy.

Tobacco smoking and prevalence of communicable and non-communicable diseases in rural South Africa: A cross-sectional study.

Background: South Africa is facing a convergence of communicable diseases (CDs) and non-communicable diseases (NCDs). The contribution of tobacco use to the burden of these conditions is unknown. Methods: We analyzed the associations between current tobacco smoking and four important CDs and NCDs in Vukuzazi, a cross-sectional study of individuals aged 15 years and older conducted between 2018-2020 in a demographic surveillance area in KwaZulu-Natal, South Africa. Data on HIV, active tuberculosis (TB), hypertension and diabetes mellitus were collected via direct measurement from participants. Results: Of 18,024 participants (68% female, median age 37 years [interquartile rage 23-56 years]), 1,301 (7.2%) reported current smoking. Prevalence of HIV infection was similarly high among people who currently smoked (34.6%) and people who had never smoked (33.9%). However, among people living with HIV (PLWH), there was a higher prevalence of detectable viremia in people reporting current smoking compared to people who reported never smoking (28.8% vs. 16.6%; p-value < 0.001). Active TB was more prevalent in people who currently smoked than in people who never smoked (3.1% vs 1.3%, p < 0.001). In contrast, the prevalence of hypertension and diabetes mellitus were lower in people reporting current smoking than in people reporting never smoking (17.1% vs 26.0% (p < 0.001), and 2.5% vs 10.2% (p < 0.001), respectively). In sex-stratified multivariable analyses that were adjusted for potential confounding factors (including body mass index for the NCDs), the magnitude of differences in CD prevalence between people who currently smoked and people who never smoked decreased, whereas the lower prevalence of NCDs among people reporting current smoking persisted. Conclusions: In rural South Africa, smoking is associated with higher rates of active TB, and people with HIV who smoke have worse disease control. In contrast, hypertension and diabetes mellitus are less common in those who smoke. Interventions to screen for TB among those who smoke and to address smoking among people with HIV may be particularly impactful.

Age at the onset of tobacco smoking in South Africa: a discrete-time survival analysis of the prognostic factors.

BACKGROUND: While knowledge of onset of smoking tobacco, and associated risk factors can aid the formulation of evidence-based policy and interventions, such information is scarce in South Africa. We assessed age at onset of tobacco smoking in South Africa and identified its risk factors. METHODS: We analysed data of 15,316 respondents aged 15-98 years from the 2012 South African National Health and Nutrition Examination Survey. Descriptive statistics and survival analysis techniques were used alongside weighted percentages. RESULTS: Overall lifetime prevalence of smoking was 20.5%. Among the 3360 ever-smoked respondents, the overall median age at smoking onset was 18 years (Inter-quartile range (IQR) =5) with 2% starting before age 10 while 60% had smoked before age 20. Likelihood of tobacco smoking was higher among adolescents (<=20 years) and those aged 20-29 years than those aged > = 60 years, thrice higher among males, 29% higher among urban dwellers and thrice higher in Western Cape and Free State than in North West Province. The onset of tobacco smoking was earlier among males, wealthier and "coloured" people from Northern and Eastern Capes. CONCLUSION: The onset of tobacco smoking peaked at 15-22 years and varied by province, sex, location, race and other characteristics. The age restrictions on smoking in South Africa has changed over time, coupled with the recent open and electronic advertisement of tobacco, and social media could have influenced the earlier onset of tobacco smoking in South Africa. Stricter regulations on tobacco-related advertisement and sales should be implemented.

Understanding the determinants of hemoglobin and iron status: adolescent-adult women comparisons in SANHANES-1.

The study compared hemoglobin (Hb) and serum ferritin levels between adolescent and adult women with different body mass indices, dietary intake, and sociodemography. A secondary analysis of data for 3177 South African women ⩾15 years of age who participated in the SANHANES-1 study was undertaken. Abnormal Hb (≤12 g/dL) and serum ferritin (<15 µg/mL) were based on the World Health Organization's criteria for nonpregnant women aged ⩾15 years. Data were analyzed using STATA version 11. Overall, anemia was detected in 740 (23.3%) participants. Of the individuals in the subsample (n = 1123, 15-35 years) who had serum ferritin measured, 6.0% presented with iron depletion (ID) and 10.8% presented with iron-deficiency anemia (IDA). The highest prevalences of anemia, ID, and IDA were in 15- to 18-year-olds (11.2%, 8.8%, and 20.2%, respectively). Black young adults (19-24 years) were up to 40 times more likely to present with ID compared with their non-black counterparts. While overweight adolescents were three times more likely to be anemic, overweight and obese young adults, as well as obese older adults (25-35 years), were less likely to be anemic compared with normal-weight women of all age groups. Overconsumption of dietary fat increased ID by up to 54- and 11-fold (adolescents and 25- to 35-year-olds, respectively). In South Africa, anemia is most prevalent in adolescents and black women. Anemia is also an indicator of overconsumption of dietary fat and a marker of socioeconomic disadvantage.

Body image and weight control in South Africans 15 years or older: SANHANES-1.

BACKGROUND: South African studies have suggested that differences in obesity prevalence between groups may be partly related to differences in body image and body size dissatisfaction. However, there has never been a national study that measured body image and its relationship to weight control in the country. Hence, the main aim of the study was to examine body image in relation to body mass index and weight control in South Africa. METHODS: A cross-sectional survey and a secondary analyses of data were undertaken for 6 411 South Africans (15+ years) participating in the first South African National Health and Nutrition Examination Survey. Body image was investigated in relation to weight status and attempts to lose or gain weight. Data were analysed using STATA version 11.0. Descriptive statistics are presented as counts (numbers), percentages, means, standard error of means, and 95 % confidence intervals. Any differences in values were considered to be significantly different if the confidence intervals did not overlap. RESULTS: Overall, 84.5 % participants had a largely distorted body image and 45.3 % were highly dissatisfied about their body size. Overweight and obese participants under estimated their body size and desired to be thinner. On the other hand, normal- and under-weight participants over estimated their body size and desired to be fatter. Only 12.1 and 10.1 % of participants attempted to lose or gain weight, respectively, mainly by adjusting dietary intake and physical activity. DISCUSSION: Body mass index appears to influence body image and weight adjustment in South Africa. CONCLUSIONS: South Africans at the extreme ends of the body mass index range have a largely distorted body image and are highly dissatisfied by it. This suggests a need for health education and beneficial weight control strategies to halt the obesity epidemic in the country.

Prevalence of tobacco use among adults in South Africa: Results from the first South African National Health and Nutrition Examination Survey.

BACKGROUND: Data on tobacco use have informed the effectiveness of South Africa (SA)'s tobacco control strategies over the past 20 years. OBJECTIVE: To estimate the prevalence of tobacco use in the adult SA population according to certain demographic variables, and identify the factors influencing cessation attempts among current smokers. METHODS: A multistage disproportionate nationally representative stratified cluster sample of households was selected for the South African National Health and Nutrition Examination Survey, conducted in 2012. A sample of 10 000 households from 500 census enumerator areas was visited. A detailed questionnaire was administered to all consenting adults in each consenting household. RESULTS: Of adult South Africans, 17.6% (95% confidence interval (CI) 6.3 - 18.9) currently smoke tobacco. Males (29.2%) had a prevalence four times that for females (7.3%) (odds ratio 5.20, 95% CI 4.39 - 6.16; p<0.001). The provinces with the highest current tobacco smoking prevalence were the Western Cape (32.9%), Northern Cape (31.2%) and Free State (27.4%). Among current tobacco smokers, 29.3% had been advised to quit smoking by a healthcare provider during the preceding year, 81.4% had noticed health warnings on tobacco packages, and 49.9% reported that the warning labels had led them to consider quitting. CONCLUSION: A large proportion of adult South Africans continue to use tobacco. While considerable gains have been made in reducing tobacco use over the past 20 years, tobacco use and its determinants need to be monitored to ensure that tobacco control strategies remain effective.

Prevalence and correlates of smokeless tobacco use among grade 8-11 school students in South Africa: a nationwide study.

INTRODUCTION: Smokeless tobacco in South Africa is commonly used in the form of snuff or chewing tobacco. This paper reports its use among secondary school students and provides evidence of its association with demographic characteristics, tobacco smoking, and socioeconomic status. METHODS: Data were derived from a nationally representative study conducted in 2008 among 10,270 grade 8-11 students from 192 schools in South Africa. Data were collected with self-administered questionnaires. Multiple logistic regression analyses were used to examine correlates of past-month smokeless tobacco use. RESULTS: Nationally, 12.4% of students used smokeless tobacco such as chewing tobacco or snuff in the month preceding the survey, with significantly higher rates among males (13.6%) than females (10.6%). Smokeless tobacco use differed between racial groups, with African (12.8%) and colored (11.7%) students having the highest rates of past-month use. Grade 8 students (15.3%) reported significantly higher rates of use than grade 11 students (9.1%). Current cigarette smokers (21.3%) reported a higher prevalence of smokeless tobacco use than noncurrent smokers (10.1%). Logistic regression of past-month smokeless tobacco use showed significant associations with race, grade, school socioeconomic level, urbanicity, current cigarette smoking, and having first smoked a cigarette before the age of 10 years. CONCLUSIONS: These findings provide evidence for policy makers and program developers to develop targeted and tailored interventions for young people regarding smokeless tobacco use.

A decade of tobacco control: the South African case of politics, health policy, health promotion and behaviour change.

BACKGROUND: The South African (SA) government has implemented comprehensive tobacco control measures in line with the requirements of the Framework Convention on Tobacco Control. The effect of these measures on smoking prevalence and smoking-related attitudes, particularly among young people, is largely unknown. OBJECTIVE: To describe the impact of a comprehensive health promotion approach to tobacco control amongst SA school learners. METHODS: Four successive cross-sectional Global Youth Tobacco Surveys (GYTSs) were conducted in 1999, 2002, 2008 and 2011 among nationally representative samples of SA grades 8 - 10 school learners. We assessed the prevalence of current smoking (having smoked a cigarette on ≥1 day in the 30 days preceding the survey) and smoking-related attitudes and behaviours. RESULTS: Over the 12-year survey period current smoking among learners declined from 23.0% (1999) to 16.9% (2011) - a 26.5% reduction. Reductions in smoking prevalence were less pronounced amongst girls and amongst black learners. We observed an increase in smoking prevalence amongst learners between 2008 and 2011. Smoking-related attitudes and behaviours showed favourable changes over the survey period. CONCLUSION: These surveys demonstrate that the comprehensive and inter-sectorial tobacco control health promotion strategies implemented in SA have led to a gradual reduction in cigarette use amongst school learners. Of concern, however, are the smaller reductions in smoking prevalence amongst girls and black learners and an increase in smoking prevalence from 2008 to 2011. Additional efforts, especially for girls, are needed to ensure continued reduction in smoking prevalence amongst SA youth.