Smoking cessation advice and quit attempts in South Africa
between 2007 and 2017: A cross-sectional study

BackgroundLittle is known about how smoking cessation practices in primary care differ for patients with coronary heart disease (CHD) who have different comorbidities.AimTo determine the association between different patterns of comorbidity and smoking rates and smoking cessation interventions in primary care for patients with CHD.Design and settingCross-sectional study of 81 456 adults with CHD in primary care in Scotland.MethodDetails of eight concordant physical comorbidities, 23 discordant physical comorbidities, and eight mental health comorbidities were extracted from electronic health records between April 2006 and March 2007. Multilevel binary logistic regression models were constructed to determine the association between these patterns of comorbidity and smoking status, smoking cessation advice, and smoking cessation medication (nicotine replacement therapy) prescribed.ResultsThe most deprived quintile had nearly three times higher odds of being current smokers than the least deprived (odds ratio [OR] 2.76; 95% confidence interval [CI] = 2.49 to 3.05). People with CHD and two or more mental health comorbidities had more than twice the odds of being current smokers than those with no mental health conditions (OR 2.11; 95% CI = 1.99 to 2.24). Despite this, those with two or more mental health comorbidities (OR 0.77; 95% CI = 0.61 to 0.98) were less likely to receive smoking cessation advice, but absolute differences were small.ConclusionPatterns of comorbidity are associated with variation in smoking status and the delivery of smoking cessation advice among people with CHD in primary care. Those from the most deprived areas and those with mental health problems are considerably more likely to be current smokers and require additional smoking cessation support.

Download Full-text

Characterization and genetic relatedness of methicillin-susceptible Staphylococcus aureus strains circulating in the Pretoria region, South Africa: a cross-sectional study

10.26226/morressier.56d5ba26d462b80296c94ba7 ◽

2016 ◽

Author(s):

Marthie Ehlers

Keyword(s):

South Africa ◽

Staphylococcus Aureus ◽

Genetic Relatedness ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

Download Full-text

The Socio-Cultural Correlates of Volunteerism Among Youth in South Africa: A Cross Sectional Study of Undergraduate Students at the North-West University in South Africa

SSRN Electronic Journal ◽

10.2139/ssrn.3502706 ◽

2017 ◽

Author(s):

Acheampong Amoateng ◽

OlaOluwa S. Yaya

Keyword(s):

South Africa ◽

Undergraduate Students ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

North West ◽

The North

Download Full-text

Inclusive education among pre-service teachers from Nigeria and South Africa: A comparative cross-sectional study

Cogent Education ◽

10.1080/2331186x.2021.1930491 ◽

2021 ◽

Vol 8 (1) ◽

pp. 1930491

Author(s):

Olufemi Timothy Adigun

Keyword(s):

South Africa ◽

Inclusive Education ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

Download Full-text

Genetic Variants in Smoking-Related Genes in Two Smoking Cessation Programs: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18126597 ◽

2021 ◽

Vol 18 (12) ◽

pp. 6597

Author(s):

Gloria Pérez-Rubio ◽

Luis Alberto López-Flores ◽

Ana Paula Cupertino ◽

Francisco Cartujano-Barrera ◽

Luz Myriam Reynales-Shigematsu ◽

...

Keyword(s):

Smoking Cessation ◽

Cross Sectional Study ◽

Nucleotide Polymorphisms ◽

Sectional Study ◽

Cross Sectional ◽

Single Nucleotide ◽

Genotype Frequencies ◽

Quitting Smoking ◽

Genes Encoding ◽

Genomic Regions

Previous studies have identified variants in genes encoding proteins associated with the degree of addiction, smoking onset, and cessation. We aimed to describe thirty-one single nucleotide polymorphisms (SNPs) in seven candidate genomic regions spanning six genes associated with tobacco-smoking in a cross-sectional study from two different interventions for quitting smoking: (1) thirty-eight smokers were recruited via multimedia to participate in e-Decídete! program (e-Dec) and (2) ninety-four attended an institutional smoking cessation program on-site. SNPs genotyping was done by real-time PCR using TaqMan probes. The analysis of alleles and genotypes was carried out using the EpiInfo v7. on-site subjects had more years smoking and tobacco index than e-Dec smokers (p < 0.05, both); in CYP2A6 we found differences in the rs28399433 (p < 0.01), the e-Dec group had a higher frequency of TT genotype (0.78 vs. 0.35), and TG genotype frequency was higher in the on-site group (0.63 vs. 0.18), same as GG genotype (0.03 vs. 0.02). Moreover, three SNPs in NRXN1, two in CHRNA3, and two in CHRNA5 had differences in genotype frequencies (p < 0.01). Cigarettes per day were different (p < 0.05) in the metabolizer classification by CYP2A6 alleles. In conclusion, subjects attending a mobile smoking cessation intervention smoked fewer cigarettes per day, by fewer years, and by fewer cumulative pack-years. There were differences in the genotype frequencies of SNPs in genes related to nicotine metabolism and nicotine dependence. Slow metabolizers smoked more cigarettes per day than intermediate and normal metabolizers.

Download Full-text

A cross-sectional study measuring contact patterns using diaries in an urban and a rural community in South Africa, 2018

BMC Public Health ◽

10.1186/s12889-021-11136-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jackie Kleynhans ◽

Stefano Tempia ◽

Meredith L. McMorrow ◽

Anne von Gottberg ◽

Neil A. Martinson ◽

...

Keyword(s):

South Africa ◽

Age Groups ◽

Cross Sectional Study ◽

Rural Site ◽

Urban Site ◽

Contact Rate ◽

Sectional Study ◽

Cross Sectional ◽

Contact Rates ◽

Contact Patterns

Abstract Background Describing contact patterns is crucial to understanding infectious disease transmission dynamics and guiding targeted transmission mitigation interventions. Data on contact patterns in Africa, especially South Africa, are limited. We measured and compared contact patterns in a rural and urban community, South Africa. We assessed participant and contact characteristics associated with differences in contact rates. Methods We conducted a cross-sectional study nested in a prospective household cohort study. We interviewed participants to collect information on persons in contact with for one day. We described self-reported contact rates as median number people contacted per day, assessed differences in contact rates based on participant characteristics using quantile regression, and used a Poisson model to assess differences in contact rates based on contact characteristics within age groups. We also calculated cumulative person hours in contact within age groups at different locations. Results We conducted 535 interviews (269 rural, 266 urban), with 17,252 contacts reported. The overall contact rate was 14 (interquartile range (IQR) 9–33) contacts per day. Those ≤18 years had higher contact rates at the rural site (coefficient 17, 95% confidence interval (95%CI) 10–23) compared to the urban site, for those aged 14–18 years (13, 95%CI 3–23) compared to < 7 years. No differences were observed for adults. There was a strong age-based mixing, with age groups interacting more with similar age groups, but also interaction of participants of all ages with adults. Children aged 14–18 years had the highest cumulative person hours in contact (116.3 rural and 76.4 urban). Conclusions Age played an important role in the number and duration of contact events, with children at the rural site having almost double the contact rate compared to the urban site. These contact rates can be utilized in mathematical models to assess transmission dynamics of infectious diseases in similar communities.

Download Full-text