Global Adult Tobacco Survey (GATS): a case for change in definition, analysis and interpretation of "cigarettes" and "cigarettes per day" in completed and future surveys

Association between smoking and lack of HIV virological suppression in a cross-sectional study of persons with HIV on antiretroviral therapy in Uganda

BACKGROUND

Smoking and alcohol use frequently co-occur and are the leading causes of preventable death in sub-Saharan Africa (SSA) and are common among people living with HIV (PLWH). While alcohol use has been shown to be associated with reduced adherence to antiretroviral treatment (ART), which may affect HIV viral suppression, the independent effect of smoking on HIV outcomes in SSA is unknown. We aimed to 1) describe the prevalence of current smoking and correlates of smoking; 2) assess the association of smoking with viral suppression, adjusting for level of alcohol use; 3) explore the relationship between smoking and CD4 cell count <350 cells/mm3, among participants who are virally suppressed.

METHODS

We analyzed data from the Drinkers Intervention to Prevent Tuberculosis (DIPT) and the Alcohol Drinkers' Exposure to Preventive Therapy for TB (ADEPTT) studies conducted in Southwest Uganda. The studies enrolled PLWH who were on ART for at least 6 months and co-infected with latent tuberculosis and dominated with participants who had unhealthy alcohol use. Current smoking (prior 3 months) was assessed by self-report. Alcohol use was assessed using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C, modified for prior 3 months) and phosphatidylethanol (PEth), an alcohol biomarker. We used logistic regression to estimate the cross-sectional association between smoking and lack of virological suppression (≥40 copies/ml), adjusting for level of alcohol use and other covariates, and to examine the association between smoking and CD4 cell counts among PLWH with viral suppression.

RESULTS

Of the 955 participants enrolled from 2017 to 2021 who had viral load (VL) results, 63% were men, median age was 40 years (interquartile range [IQR] 32-47), 63% engaged in high/very high-risk alcohol use (AUDIT-C≥6 or PEth≥200 ng/mL), and 22% reported smoking in the prior 3 months. Among 865 participants (91%) with viral suppression and available CD4 count, 11% had a CD4 cell count <350 cells/mm3. In unadjusted and adjusted analyses, there was no evidence of an association between smoking and lack of virological suppression nor between smoking and CD4 count among those with viral suppression.

CONCLUSIONS

The prevalence of smoking was high among a study sample of PLWH in HIV care with latent TB in Southwest Uganda in which the majority of persons engaged in alcohol use. Although there was no evidence of an association between smoking and lack of virological suppression, the co-occurrence of smoking among PLWH who use alcohol underscores the need for targeted and integrated approaches to reduce their co-existence and improve health.

Performance of the Heaviness of Smoking Index in Indian Settings

Background and objective The heaviness of smoking index (HSI) is a popular tool to assess nicotine dependence in clinical and community settings. Low cigarette consumption and concurrent use of other tobacco products raise concerns about its validity in Indian settings. This study explores the performance of HSI in Indian settings. Methods This study analyzed daily manufactured cigarette smoker data from the cross-sectional Global Adult Tobacco Surveys (GATS) from its first (GAST-1, 2009) and second waves (GATS-2, 2016), both of which were available in the public domain. The HSI scores were calculated based on the number of cigarettes smoked per day (CPD) and time to first smoke (TTFS) after waking up among the current daily cigarette users. This study examined the utility of the HSI scale in Indian settings by estimating the predictability of low dependence on quit attempts and quit intentions using the likelihood ratio parameter. Results About nine in 10 cigarette users in India consumed less than 10 cigarettes per day, yielding a low score on the HSI scale for most of the daily cigarette users. The majority of daily cigarette smokers scored ≤ 1 (low dependence) on the HSI scale both in GATS-1 and GATS-2, irrespective of their exclusive cigarette use status. The absolute value and the 95% confidence limit of positive likelihood ratios (falling below and above one) suggest that the predictability of low dependence on quit attempts and quit intention in the Indian setting is limited. Conclusions The utility of the HSI scale in assessing nicotine dependence among cigarette users in India is limited. This may be attributed to low average cigarette consumption, concurrent use of various tobacco products, and the sociocultural milieu of Indian smokers. This highlights the need for a new rapid nicotine dependence scale tailored to the specific patterns of tobacco use behavior prevalent in the Indian context.

Changes in adult smoking behaviours in ten global adult tobacco survey (GATS) countries during 2008-2018 - a test of 'hardening' hypothesis'

BACKGROUND

Hardcore smoking behaviours and test of hardening are seldom reported from low-and-middle-income countries (LMICs). We report country-wise changes in smoking behaviors between two sequential surveys and explored ecologically the relationship between MPOWER scores and smoking behaviors including hardcore smoking.

METHODS

We analysed sequential Global Adult Tobacco Survey (GATS) data done at least at five years interval in 10 countries namely India, Bangladesh, China, Mexico, Philippines, Russia, Turkey, Ukraine, Uruguay, and Vietnam. We estimated weighted prevalence rates of smoking behaviors namely current smoking (both daily and non-daily), prevalence of hardcore smoking (HCS) among current smokers (HCSs%) and entire surveyed population (HCSp%), quit ratios (QR), and the number of cigarettes smoked per day (CPD). We calculated absolute and relative (%) change in rates between two surveys in each country. Using aggregate data, we correlated relative change in current smoking prevalence with relative change in HCSs% and HCSp% as well as explored the relationship of MPOWER score with relative change in smoking behaviors using Spearman' rank correlation test.

RESULTS

Overall daily smoking has declined in all ten countries lead by a 23% decline in Russia. In India, Bangladesh, and Philippines HCSs% decreased as the smoking rate decreased while HCSs% increased in Turkey (66%), Vietnam (33%) and Ukraine (15%). In most countries, CPD ranged from 15 to 20 sticks except in Mexico (7.8), and India (10.4) where CPD declined by 18 and 22% respectively. MPOWER scores were moderately correlated with HCSs% in both sexes (r = 0.644, p = 0.044) and HCSp% (r = 0.632, p = 0.05) and among women only HCSs% (r = 0.804, p = 0.005) was significantly correlated with MPOWER score.

CONCLUSION

With declining smoking prevalence, HCS had also decreased and quit rates improved. Ecologically, a positive linear relationship between changes in smoking and HCS is a possible evidence against 'hardening'. Continued monitoring of the changes in quitting and hardcore smoking behaviours is required to plan cessation services.

Outcome of tobacco cessation in workplace and clinic settings: A comparative study

Aims and Objectives:

Several biological, social, and cultural factors contribute to the poor outcome of tobacco cessation interventions. Inability to engage large number of participants is one of the major identifiable factors. The objective of this study was to compare the outcome of tobacco cessation interventions in the clinical and workplace settings.

Materials and Methods:

In the present study, we recruited 100 participants in tobacco cessation clinic (TCC) group and workplace group (50 participants in each). Both the groups were regularly intervened and were followed up regularly at 2 weeks, 4 weeks, 3 months, and 6 months. Active interventions in the form of awareness lectures, focused group discussions, and if needed, pharmacotherapy (nicotine/non-nicotine replacement therapy) was carried out for all participants. The outcome was assessed as no change, harm reduction (>50% reduction), complete cessation, and drop out. Statistical analysis of the data was done using the Statistical Package for the Social Sciences version 21.0.

Results:

At the end of 1 month, there was higher tobacco cessation rate in the workplace group versus TCC group (n = 22, 44% vs n = 9, 18%; P < 0.0001). The tobacco cessation rate was maintained even after 6 months of intervention (n = 30, 60% vs n = 12, 24%; P = 0.002) and dropout rate was also lower among the workplace group than the TCC group (n = 14, 28% vs n = 27, 54%; P < 0.0001).

Conclusions:

Our study findings suggest that the workplace setting has superior outcome in tobacco cessation and harm reduction than clinical setting. In addition, it is associated with low dropout rate and the cessation effect is maintained over a period of 6 months.

Tobacco use and quit behaviour assessment in the Global Adult Tobacco Survey (GATS): invalid responses and implications

BACKGROUND

Tobacco use and quit attempts are two key indicators of the Global Adult Tobacco Survey (GATS) that assess quit attempts among current as well as former tobacco users. The relevant data have inherent policy implications for tobacco cessation programme evaluation. This study aimed to review the concepts of quit attempt assessment and quantifying invalid responses considering GATS-India data.

MATERIALS AND METHODS

GATS assessment of tobacco use and quit attempts were examined in the current literature. Two categories of invalid responses were identified by stratified analysis of the duration of last quit attempt among current users and duration of abstinence among former users. Category A included absolute invalid responses when time- frame of assessment of current tobacco use and less than former tobacco use were violated. Category B included responses that violated the unit of measurement of time.

RESULTS

Current daily use, current less than daily use and former use in GATS were imprecisely defined with overlapping of time-frame of assessment. Overall responses of 3,102 current smokers, 4,036 current smokeless users, 1,904 former smokers and 1,343 former smokeless users were analyzed to quantify invalid responses. Analysis indicated overall 21.2% (category A: 7.32%; category B: 17.7%) and 22.7% (category A: 8.05%; category B: 18.1%) invalid responses among current smokers and smokeless users respectively regarding their duration of last quit attempt. Similarly overall 6.62% (category A: 4.7%; category B: 2.3%) and 10.6% (category A: 8.6%; category B: 3.5%) invalid responses were identified among former smokers and smokeless users respectively regarding their duration of abstinence.

CONCLUSIONS

High invalid responses for a single assessment are due to the imprecise definition of current use, former use and quit attempt; and failure to utilize opportunity of direct data entry interface use during the survey to validate responses instantly. Redefining tobacco use and quit attempts considering an appropriate timeframe would reduce invalid responses.