Cigarette prices, cigarette expenditure and smoking-induced deprivation: findings from the International Tobacco Control Mexico survey

Socioeconomic status and cigarette expenditure among US households: results from 2010 to 2015 Consumer Expenditure Survey

OBJECTIVES

To examine (1) the association between household socioeconomic status (SES) and whether a household spends money on cigarettes and (2) socioeconomic variations in proportion of total household expenditure spent on cigarettes among smoking households.

METHODS

We pooled data from six consecutive years, 2010-2015, of the Consumer Expenditure Interview Survey. The interviews involved a structured questionnaire about household income, demographics and expenditures including expenditure on cigarettes. Households that reported cigarette expenditure in the previous 3 months were distinguished as smoking households. SES indicators were household poverty status, education and occupation of the head of household. Logistic regression was used to assess the association of household smoking status with SES. Fractional logistic regression was used to assess the association of cigarette expenditure as a proportion of total household expenditure with SES. The analysis sample size was 39 218.

RESULTS

The probability of spending money on cigarettes was higher among lower SES households. Households in poverty compared with those above 300% of poverty threshold had 1.86 (95% CI 1.61 to 2.16), households headed by a person with less than high school education compared with those headed by a person with at least a bachelor's degree had 3.37 (95% CI 2.92 to 3.89) and households headed by a blue-collar work compared with those headed by a person in a managerial occupation had 1.45 (95% CI 1.26 to 1.66) higher odds of spending money on cigarettes. Similarly, the proportion of total household expenditure spent on cigarettes was higher among lower SES smoking households.

CONCLUSION

Lower SES households are more likely to spend money on cigarettes and spend a larger proportion of their total expenditure on cigarettes. We recommend strategies effective in reducing smoking among low SES smokers.

Neighbourhood exposure to point-of-sale price promotions for cigarettes is associated with financial stress among smokers: results from a population-based study

AIM

To examine the association between neighbourhood exposure to point-of-sale (POS) cigarette price promotions and financial stress among smokers in a Midwestern metropolitan area in the USA.

METHODS

Survey data from 888 smokers provided information on sociodemographic and smoking related variables. Financial stress was measured with the question: 'In the last six months, because of lack of money, was there a time when you were unable to buy food or pay any important bills on time, such as electricity, telephone, credit card, rent or your mortgage? (Yes/No).' Using audit data from 504 tobacco retailers, we estimated a score of POS price promotions for each respondent by summing the different types of promotion in each store in their neighbourhood, as defined by a 1-km roadway buffer.

RESULTS

Adjusted results provided strong support for an association between higher scores of neighbourhood POS cigarette price promotions and a higher probability of financial stress (p=0.007).

CONCLUSION

Exposure to POS cigarette price promotions is associated with financial stress. This finding, coupled with previous reports that smokers with financial stress are less likely to attempt to quit or succeed in quitting smoking, suggests that POS cigarette price promotions may act as an impediment to smoking cessation.

Point-of-sale cigarette marketing and smoking-induced deprivation in smokers: results from a population-based survey

BACKGROUND

Strict restrictions on outdoor cigarette marketing have resulted in increasing concentration of cigarette marketing at the point-of-sale (POS). The association between POS cigarette marketing and smoking-induced deprivation (SID) has never been studied. The aim of this study was to examine this association and how it is mediated by cravings to smoke, urges to buy cigarettes, and unplanned purchases of cigarettes.

METHODS

Data from a telephone survey of 939 smokers were collected in Omaha, Nebraska. POS cigarette marketing was measured by asking respondents three questions about noticing pack displays, advertisements, and promotions such as cigarette price discounts within their respective neighborhoods. SID was measured with the following question: "In the last six months, has there been a time when the money you spent on cigarettes resulted in not having enough money for household essentials such as food? [yes/no]" We used structural equation modeling to examine the study aim.

RESULTS

There was overwhelming evidence for an association between higher levels of POS cigarette marketing and a higher probability of SID (p < 0.001). This association was partly mediated by cravings to smoke, urges to buy cigarettes, and unplanned purchases of cigarettes during a visit to a neighborhood store (p < 0.001).

CONCLUSION

Given that POS cigarette marketing is associated with a higher probability of experiencing SID, policies that ban POS cigarette marketing might help some smokers afford essentials household items such as food more easily and thus have better standards of living.

The association between tax structure and cigarette price variability: findings from the ITC Project

BACKGROUND

Recent studies have shown that more opportunities exist for tax avoidance when cigarette excise tax structure departs from a uniform specific structure. However, the association between tax structure and cigarette price variability has not been thoroughly studied in the existing literature.

OBJECTIVE

To examine how cigarette tax structure is associated with price variability. The variability of self-reported prices is measured using the ratios of differences between higher and lower prices to the median price such as the IQR-to-median ratio.

METHODS

We used survey data taken from the International Tobacco Control Policy Evaluation (ITC) Project in 17 countries to conduct the analysis. Cigarette prices were derived using individual purchase information and aggregated to price variability measures for each surveyed country and wave. The effect of tax structures on price variability was estimated using Generalised Estimating Equations after adjusting for year and country attributes.

FINDINGS

Our study provides empirical evidence of a relationship between tax structure and cigarette price variability. We find that, compared to the specific uniform tax structure, mixed uniform and tiered (specific, ad valorem or mixed) structures are associated with greater price variability (p≤0.01). Moreover, while a greater share of the specific component in total excise taxes is associated with lower price variability (p≤0.05), a tiered tax structure is associated with greater price variability (p≤0.01). The results suggest that a uniform and specific tax structure is the most effective tax structure for reducing tobacco consumption and prevalence by limiting price variability and decreasing opportunities for tax avoidance.

Neighbourhood deprivation and smoking and quit behaviour among smokers in Mexico: findings from the ITC Mexico Survey

BACKGROUND

In high-income countries (HICs), higher neighbourhood socioeconomic deprivation is associated with higher levels of smoking. Few studies in low-income and middle-income countries (LMICs) have investigated the role of the neighbourhood environment on smoking behaviour.

OBJECTIVE

To determine whether neighbourhood socioeconomic deprivation is related to smoking intensity, quit attempts, quit success and smoking relapse among a cohort of smokers in Mexico from 2010 to 2012.

METHODS

Data were analysed from adult smokers and recent ex-smokers who participated in waves 4-6 of the International Tobacco Control (ITC) Mexico Survey. Data were linked to the Mexican government's composite index of neighbourhood socioeconomic deprivation, which is based on 2010 Mexican Census data. We used generalised estimating equations to determine associations between neighbourhood deprivation and individual smoking behaviours.

FINDINGS

Contrary to past findings in HICs, higher neighbourhood socioeconomic deprivation was associated with lower smoking intensity. Quit attempts showed a U-shaped pattern whereby smokers living in high/very high deprivation neighbourhoods and smokers living in very low deprivation neighbourhoods were more likely to make a quit attempt than smokers living in other neighbourhoods. We did not find significant differences in neighbourhood deprivation on relapse or successful quitting, with the possible exception of people living in medium-deprivation neighbourhoods having a higher likelihood of successful quitting than people living in very low deprivation neighbourhoods (p=0.06).

CONCLUSIONS

Neighbourhood socioeconomic environments in Mexico appear to operate in an opposing manner to those in HICs. Further research should investigate whether rapid implementation of strong tobacco control policies in LMICs, as occurred in Mexico during the follow-up period, avoids the concentration of tobacco-related disparities among socioeconomically disadvantaged groups.

Determinants of smoking-induced deprivation in China

OBJECTIVE

Spending on cigarettes may deprive households of other items like food. The goal of this study was to examine the prevalence of and factors associated with this smoking-induced deprivation among adult smokers in China.

METHODS

The data came from Waves 1-3 of the International Tobacco Control (ITC) China Survey, conducted from 2006 to 2009 among urban adults aged 18 years or older in China. We focus on the samples of current smokers from six cities (N=7981). Smoking-induced deprivation was measured with the survey question, "In the last six months, have you spent money on cigarettes that you knew would be better spent on household essentials like food?" We examined whether sociodemographic factors, smoking intensity and price paid per pack of cigarettes were associated with smoking-induced deprivation using generalised estimating equations modelling.

FINDINGS

7.3% of smokers reported smoking-induced deprivation due to purchasing cigarettes. Low-income and middle-income smokers were more likely to have smoking-induced deprivation compared with high-income smokers (adjusted OR (AOR)=2.06, 95% CI 1.32 to 2.31; AOR=1.44, 95% CI 1.10 to 1.69); smokers living in Shenyang (AOR=1.68, 95% CI 1.25 to 2.24) and Yinchuan (AOR=2.50, 95% CI 1.89 to 3.32) were more likely to have smoking-induced deprivation compared with smokers living in Beijing. Retired smokers were less likely to have smoking-induced deprivation compared with employed smokers (AOR=0.67, 95% CI 0.52 to 0.87). There was no statistically significant relationship between smoking intensity, price paid per pack of cigarettes and smoking-induced deprivation.

CONCLUSIONS

Our findings indicate that certain groups of smokers in China acknowledge spending money on cigarettes that could be better spent on household essentials. Tobacco control policies that reduce smoking in China may improve household living standards by reducing smoking-induced deprivation.