Socio-economic inequalities in smoking prevalence and involuntary exposure to tobacco smoke in Argentina: Analysis of three cross-sectional nationally representative surveys in 2005, 2009 and 2013

The health, economic and social burden of smoking in Argentina, and the impact of increasing tobacco taxes in a context of illicit trade

Tobacco tax increases, the most cost-effective measure in reducing consumption, remain underutilized in low and middle-income countries. This study estimates the health and economic burden of smoking in Argentina and forecasts the benefits of tobacco tax hikes, accounting for the potential effects of illicit trade. Using a probabilistic Markov microsimulation model, this study quantifies smoking-related deaths, health events, and societal costs. The model also estimates the health and economic benefits of different increases in the price of cigarettes through taxes. Annually, smoking causes 45,000 deaths and 221,000 health events in Argentina, costing USD 2782 million in direct medical expenses, USD 1470 million in labor productivity loss costs, and USD 1069 million in informal care costs-totaling 1.2% of the national gross domestic product. Even in a scenario that considers illicit trade of tobacco products, a 50% cigarette price increase through taxes could yield USD 8292 million in total economic benefits accumulated over a decade. Consequently, raising tobacco taxes could significantly reduce the health and economic burdens of smoking in Argentina while increasing fiscal revenue.

Trends in Socio-economic Inequality in Smoking Among Middle-aged and Older Adults in China: Evidence From the 2011 and 2018 China Health and Retirement Longitudinal Study

INTRODUCTION

Socio-economic inequalities in smoking and related health problems are a public health concern worldwide. To support the development of effective tobacco control policies, this study examines trends in smoking rates according to socio-economic status (SES) in China.

AIMS AND METHODS

We analyzed data from repeated cross-sectional China Health and Retirement Longitudinal Study (CHARLS) on adults aged ≥45 years for the years 2011 and 2018, which involved 16 471 participants in 2011 and 19 367 in 2018. We then estimated the SES of individuals based on four types of wealth-related variables, namely, education, occupation, household characteristics, and durable consumer goods. Principal-component analysis was conducted to measure SES, and the Erreygers normalised concentration index (ECI) was used to calculate socio-economic inequality in current smoking by gender, age, and region.

RESULTS

The overall ECI (95% confidence interval) for women was -0.042 (-0.054 to -0.031) and -0.038 (-0.047 to -0.029) for 2011 and 2018, respectively. The ECI (95% confidence interval) for men was -0.077 (-0.101 to -0.050) and -0.019 (-0.042 to 0.005) for 2011 and 2018, respectively. The inequality in smoking by SES for adults aged < 60 years in the Northeast region increased during 2011-2018, from -0.069 (-0.144 to 0.006) to -0.119 (-0.199 to -0.038) for women and from 0.009 (-0.115 to 0.132) to -0.164 (-0.296 to -0.032) for men.

CONCLUSIONS

smoking inequality by socio-economic among adults aged ≥45 years declined in recent years in China. However, smoking inequality by SES increased in other population groups.

IMPLICATIONS

Our research indicated that socio-economic inequality of current smoking among residents aged 45 years and older declined in 2018 when compared with 2011 numbers, particularly for men aged ≥ 60 years. Women in the Northeast region displayed more significant smoking inequality by SES than women in other regions did. During the study period, there was an increase in inequality in smoking by SES for adults aged < 60 years in the Northeast region. Thus, tobacco control policies and interventions should be targeted at high-risk subpopulations with lower SES, particularly in Northeast China.

Changes in prevalence and in educational inequalities in Brazilian health behaviors between 2013 and 2019

Considering the relevance of health behaviors for chronic diseases prevalence and mortality and the increase in income concentration observed in the world and in Brazil, this study aimed to evaluate the changes in the prevalence and in the educational inequalities of Brazilian adult health behaviors between 2013 and 2019. We analyzed data of 49,025 and 65,803 adults (18-59 years of age) from the Brazilian National Health Survey (PNS), 2013 and 2019. Prevalence of health behaviors (smoking, alcohol intake, diet, physical activity and sedentarism) were estimated for three educational strata, for both surveys. Prevalence ratios (PR) between year of survey and between educational strata were estimated by Poisson regression models. Significant reductions were found in the prevalence of smoking, physical inactivity, sedentarism, insufficient consumption of fruits, and the excessive consumption of sweetened beverages. However, an increase was observed in alcohol consumption and binge drinking; vegetable consumption remained stable. Contrasting the favorable change in some behaviors, inequalities among schooling strata remained very high in 2019, specially for smoking (PR = 2.82; 95%CI: 2.49-3.20), passive smoking (PR = 2.88; 95%CI: 2.56-3.23) and physical inactivity (PR = 2.02; 95%CI: 1.92-2.13). There was a significant increase in the educational inequality regarding physical inactivity (21%), insufficient intake of fruit (8%) and in the frequent consumption of sweetened beverages (32%). The persistence and enlargement of inequalities highlight the behaviors and social segments that should be special targets for policies and programs focused in promoting healthy lifestyles.

Health risk behaviours among adolescents in Argentina: trends between 2007, 2012 and 2018 national cross-sectional school surveys

Background

The aim of this study was to assess trends of various health risk behaviours among adolescents across three different surveys in Argentina.

Methods

Data from 115,697 adolescents (mean age:14.6 years, SD=1.2) that participated in three cross-sectional national school surveys in 2007, 2012 and 2018 were analysed. In all, 27 health risk behaviours were assessed through a self-administered questionnaire. Significance of a linear trend was tested by treating study year as categorical variable in logistic regression analyses, adjusted by age group and food insecurity for boys and girls separately

Results

Among both sexes, four health risk behaviours (current cigarette use, passive smoking, trouble from alcohol use, and physically attacked) significantly reduced from 2007 to 2018. Among boys five health risk behaviours (experience of hunger, parental tobacco use, current alcohol use, involvement in physical fighting, and multiple sexual partners), and among girls, inadequate physical activity significantly reduced over time. Among both sexes, the prevalence of four health risk behaviours (overweight/obesity, obesity, leisure-time sedentary behaviour and insufficient fruit intake) significantly increased among both sexes, and among girls ten health risk behaviours (not walking/biking to school, current other tobacco use, bullying victimisation, lifetime drunkenness, having no close friends, suicide plan, suicidal ideation, worry-induced sleep disturbance, loneliness, and ever sexual intercourse) significantly increased over time.

Conclusion

Nine health risk behaviours among boys and five health risk behaviours among girls decreased, and four health risk behaviours among boys and 14 health compromising behaviours among girls increased over a period of 11 years. School health programmes for adolescents should be strengthened in Argentina.

Educational inequalities, urbanicity and levels of non-communicable diseases risk factors: evaluating trends in Argentina (2005-2013)

BACKGROUND

We investigated a) whether urbanicity is associated with individual-level non-communicable diseases (NCD) risk factors and whether urbanicity modifies trends over time in risk factors; and (b) whether educational inequalities in NCD risk factors change over time or are modified by province urbanicity.

METHODS

We used data from three large national surveys on NCD risk factors (Encuesta Nacional de Factores de Riesgo; ENFR2005-2009-2013) conducted in urban areas of Argentina (n = 108,489). We used gender-stratified logistic random-intercept models (individuals nested within provinces) to determine adjusted associations of self-reported individual NCD risk factors (hypertension, diabetes, obesity, and current smoking) with education and urbanicity.

RESULTS

In both men and women, the prevalence of obesity and diabetes increased over time but smoking decreased. Hypertension prevalence increased over time in men. Higher urbanicity was associated with higher odds of smoking and lower odds of hypertension in women but was not associated with NCD risk factors in men. Obesity increased more over time in more compared to less urbanized provinces (in men) while smoking decreased more over time in less urbanized provinces. All risk factors had a higher prevalence in persons with lower education (stronger in women than in men), except for diabetes in men and smoking in women. Educational inequalities in obesity (in men) and hypertension (in men and women) became stronger over time, while an initial inverse social gradient in smoking for women reverted and became similar to other risk factors over time. In general, the inverse associations of education with the risk factors became stronger with increasing levels of province urbanicity.

CONCLUSION

Increasing prevalence of diabetes and obesity over time and growing inequities by education highlight the need for policies aimed at reducing NCD risk factors among lower socioeconomic populations in urban environments in Argentina.

Urban social determinants of non-communicable diseases risk factors in Argentina

We examined associations of individual-, neighborhood- and city-level education -as proxies of SES at different levels-, with diabetes, hypertension, obesity, smoking and binge drinking (non-communicable disease risk factors -NCD/RF) among Argentinian adults. We estimated mixed models based on 21,415 individuals from the 2013 National Survey of Risk Factors, living in 2,698 neighborhoods and 33 cities. Gradients by individual-level education differed by gender and NCD/RF, and some were modified by city education. In addition, we identified contextual effects of neighborhood and city education on some NCD/RF. Urban efforts to tackle NCD/RF in Argentina should be context- and gender-sensitive, and mainly focused on socially disadvantaged groups.

Socioeconomic Determinants of Smoking in the Kingdom of Saudi Arabia

Tobacco consumption, or smoking, is a major cause of preventable morbidity and mortality worldwide, including in the Kingdom of Saudi Arabia (KSA). In order to reduce the consumption of tobacco products, it is necessary to understand the factors that drive it. However, little is known about the socioeconomic determinants of tobacco smoking in the KSA. This study, therefore, investigates the socioeconomic factors that influence tobacco smoking in the KSA. Using a national health survey, the study employs logistic and negative binomial regressions to examine the socioeconomic factors associated with smoking. Moreover, the inequality concentration indices (CIs) are used to assess inequalities in smoking. The results reveal that the smoking prevalence is 14.09% of the 8813 respondents considered in this study. The prevalence of smoking is higher among men (25.34%) than among women (1.91%). On the determinants of smoking, the logistic regression results show that higher income is associated with lower likelihood of smoking. Other factors significantly associated with current smoking status are marital status, gender, age, and region of residence. Similarly, gender, age and region of residence are significantly associated with smoking intensity. As regards the inequality analysis, at the national level, the results show that smoking is concentrated among those with higher socioeconomic status (income: CI = 0.071, p < 0.01; education: CI = 0.095, p < 0.01), but with significant regional variations. By gender disaggregation, the results also show that the income-based CIs are positive for both males and females, but statistically insignificant. Education-based CI is positive for males and significant (CI = 0.057, p < 0.05), while it is negative and insignificant for females during the study period. The findings call for targeted tobacco control measures focusing on those with higher socioeconomic status, as well as factors such as age, gender, marital status and region of residence.

Socioeconomic inequalities in hypertension in Kenya: a decomposition analysis of 2015 Kenya STEPwise survey on non-communicable diseases risk factors

BACKGROUND

One in four Kenyans aged 18-69 years have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is limited understanding of factors explaining inequalities in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality.

METHODS

We used data from the 2015 Kenya STEPwise survey for non-communicable diseases risk factors. We included 4422 respondents aged 18-69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wagstaff decomposition analysis.

RESULTS

The overall concentration index of hypertension in Kenya was - 0.08 (95% CI: - 0.14, - 0.02; p = 0.005), showing socioeconomic inequalities in hypertension disfavouring the poor population. About half (47.1%) of the pro-rich inequalities in hypertension was explained by body mass index while 26.7% by socioeconomic factors (wealth index (10.4%), education (9.3%) and paid employment (7.0%)) and 17.6% by sociodemographic factors (female gender (10.5%), age (4.3%) and marital status (0.6%)). Regional differences explained 7.1% of the estimated inequality with the Central region alone explaining 6.0% of the observed inequality. Our model explained 99.7% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (- 0.0002).

CONCLUSION

The present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.

Healthy People 2020: Social Determinants of Cigarette Smoking and Electronic Cigarette Smoking among Youth in the United States 2010-2018

The purpose of this study was to determine social determinants of cigarette smoking and ever using electronic cigarettes (e-cigarettes) among young adults aged 18 to 25 years in the United States between 2010 and 2018. Using secondary data from National Health Interview Surveys (NHIS) across the 2010, 2014, and 2018 survey years, this study analyzed the prevalence rates of cigarette smoking and ever using e-cigarettes between 2010 and 2018, demographic and socioeconomic disparities in smoking, and the relationship between previous e-cigarette use and current smoking. First, the past decade witnessed a notable decline in conventional cigarette smoking and a sharp increase in e-cigarette use among youth. These trends were consistent regardless of socioeconomic status. Second, demographic and socioeconomic disparities persisted in cigarette smoking. Non-Hispanic white male youth were more likely to become smokers as they grew older. Young people with lower educational attainment, living below the U.S. federal poverty level, and having a poor physical health status had a higher smoking prevalence. Third, previous e-cigarette use was more likely to relate to subsequent cigarette use among young people. To achieve the Healthy People 2020 objectives, tobacco control programs and interventions need to be more specific in higher prevalence groups and service providers should not assume that there is a one-size-fits-all model for youth.

Engagement in Tobacco Use Prompting During Childhood or Adolescence and Its Association with Tobacco Use in Adulthood among Colombian Women

Although most tobacco users initiate this behavior before the age of 18, little is known about engaging in tobacco use prompting behaviors (TPBs) during childhood/adolescence and tobacco use in adulthood, particularly among women in low- and middle-income countries (LMICs). The purpose of this study was to examine engagement in TPBs during childhood or adolescence and tobacco use in adulthood among Colombian women and whether or not current/past tobacco users who were engaged in TPBs during their childhood or adolescence had more odds of engaging other children or adolescents in these behaviors as adults. There were 4262 adult women who were recruited and completed an interviewer-administered survey through a door-to-door approach across the 9 regions of Antioquia, Colombia using a multi-stage probabilistic sampling. TPBs were defined as someone being asked to: (1) empty an ashtray, (2) buy cigarettes, (3) put the cigarette in their mouth and light it, (4) light a cigarette without putting it in their mouth, or (5) smoke with the adult during childhood or adolescence. We conducted bivariate regression logistic models where variables with a P < .25 were included in a parsimonious model. Approximately 40% of participants (41%) reported engaging in TPBs in childhood or adolescence. Buying cigarettes, lighting cigarettes with their mouth, and smoking with an adult were significantly associated with tobacco use in adulthood. Current/past tobacco users who reported being engaged in TPBs during childhood or adolescence (except for smoking with an adult) had higher odds of prompting these behaviors as adults. TPBs during childhood or adolescence are relevant contributors to tobacco use in adulthood among Colombian women.

Real-time video counselling for smoking cessation

BACKGROUND

Real-time video communication software such as Skype and FaceTime transmits live video and audio over the Internet, allowing counsellors to provide support to help people quit smoking. There are more than four billion Internet users worldwide, and Internet users can download free video communication software, rendering a video counselling approach both feasible and scalable for helping people to quit smoking.

OBJECTIVES

To assess the effectiveness of real-time video counselling delivered individually or to a group in increasing smoking cessation, quit attempts, intervention adherence, satisfaction and therapeutic alliance, and to provide an economic evaluation regarding real-time video counselling.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, CENTRAL, MEDLINE, PubMed, PsycINFO and Embase to identify eligible studies on 13 August 2019. We searched the World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov to identify ongoing trials registered by 13 August 2019. We checked the reference lists of included articles and contacted smoking cessation researchers for any additional studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), randomised trials, cluster RCTs or cluster randomised trials of real-time video counselling for current tobacco smokers from any setting that measured smoking cessation at least six months following baseline. The real-time video counselling intervention could be compared with a no intervention control group or another smoking cessation intervention, or both.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted data from included trials, assessed the risk of bias and rated the certainty of the evidence using the GRADE approach. We performed a random-effects meta-analysis for the primary outcome of smoking cessation, using the most stringent measure of smoking cessation measured at the longest follow-up. Analysis was based on the intention-to-treat principle. We considered participants with missing data at follow-up for the primary outcome of smoking cessation to be smokers.

MAIN RESULTS

We included two randomised trials with 615 participants. Both studies delivered real-time video counselling for smoking cessation individually, compared with telephone counselling. We judged one study at unclear risk of bias and one study at high risk of bias. There was no statistically significant treatment effect for smoking cessation (using the strictest definition and longest follow-up) across the two included studies when real-time video counselling was compared to telephone counselling (risk ratio (RR) 2.15, 95% confidence interval (CI) 0.38 to 12.04; 2 studies, 608 participants; I2 = 66%). We judged the overall certainty of the evidence for smoking cessation as very low due to methodological limitations, imprecision in the effect estimate reflected by the wide 95% CIs and inconsistency of cessation rates. There were no significant differences between real-time video counselling and telephone counselling reported for number of quit attempts among people who continued to smoke (mean difference (MD) 0.50, 95% CI -0.60 to 1.60; 1 study, 499 participants), mean number of counselling sessions completed (MD -0.20, 95% CI -0.45 to 0.05; 1 study, 566 participants), completion of all sessions (RR 1.13, 95% CI 0.71 to 1.79; 1 study, 43 participants) or therapeutic alliance (MD 1.13, 95% CI -0.24 to 2.50; 1 study, 398 participants). Participants in the video counselling arm were more likely than their telephone counselling counterparts to recommend the programme to a friend or family member (RR 1.06, 95% CI 1.01 to 1.11; 1 study, 398 participants); however, there were no between-group differences on satisfaction score (MD 0.70, 95% CI -1.16 to 2.56; 1 study, 29 participants).

AUTHORS' CONCLUSIONS

There is very little evidence about the effectiveness of real-time video counselling for smoking cessation. The existing research does not suggest a difference between video counselling and telephone counselling for assisting people to quit smoking. However, given the very low GRADE rating due to methodological limitations in the design, imprecision of the effect estimate and inconsistency of cessation rates, the smoking cessation results should be interpreted cautiously. High-quality randomised trials comparing real-time video counselling to telephone counselling are needed to increase the confidence of the effect estimate. Furthermore, there is currently no evidence comparing real-time video counselling to a control group. Such research is needed to determine whether video counselling increases smoking cessation.