Associations between smoking behaviors and financial stress among low-income smokers

Impact of tobacco spending on intrahousehold resource allocation in Montenegro

BACKGROUND

The main goal of this study is to estimate the crowding out impact of tobacco expenditures on the household budget allocation to other mutually exclusive commodity groups in Montenegro.

METHODOLOGY

The analysis uses the Household Budget Survey data from 2005 to 2017 to estimate a system of Engel curves using a three-stage least squares approach. As the tobacco expenditure variable is endogenous to budget shares on other consumption items, instrumental variables were included to obtain consistent estimates.

RESULTS

Overall, the results confirm the existence of the crowding out effect of tobacco spending on various commodities, such as some food items (eg, cereals, fruits and vegetables and dairy products), clothing, housing and utilities, education and recreation while a positive effect of tobacco consumption was estimated on budget shares on bars and restaurants, alcohol, coffee and sugary drinks. These results are consistent throughout the income groups of households. The estimates indicate that an increase in tobacco expenditures leads to reduction in budget shares on essential goods, which is likely to have negative impacts on the household living standard.

CONCLUSIONS

Tobacco expenditure crowds out household spending on necessities, especially in case of the poorest households, thus increasing inequality, hampering human capital development and potentially causing long-term adverse effects on the households in Montenegro. Our results are similar to evidence from other low and middle-income countries. This paper contributes to the analysis of the crowding out effect of tobacco consumption, which was conducted for the first time in Montenegro.

The Association of Frequency of Worry About Financial Debt With Substance Use Among Adults in Ontario, Canada

BACKGROUND

Financial debt and associated stress might increase the risk of substance use problems or exacerbate existing ones. Little evidence is available about the degree of debt stress and its association with substance use. The objective of this study was to examine the associations of the frequency of worry about debt with heavy episodic drinking (HED), daily smoking, e-cigarette use, and cannabis use in the past 30 days.

METHODS

Data were utilized from the 2020/2022 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The surveys employed a web-based panel survey of 6038 adults and collected data on debt-related stress, HED, tobacco smoking, e-cigarettes, and cannabis use in the past 30 days. Odds ratios (OR) were estimated from logistic regression models accounting for sociodemographic factors.

RESULTS

Overall, 18.4% of respondents reported that they were worried about their debt most or all of the time. Accounting for household income, educational status, employment status, and other factors, the results revealed that there was a dose-response relationship between the frequency of worry about debt and substance use including daily smoking, e-cigarette use, and cannabis use in the past 30 days compared to those who were not worried at all about their debt. Sex differences were also found in the association between worry about debt and e-cigarette use.

CONCLUSIONS

The frequency of worry about debt might have an important role in substance use, which suggests that financial well-being is vital in substance use prevention and harm reduction.

The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study

BACKGROUND

There may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco control.

OBJECTIVE

To examine the relationship between the health of one's family and their smoking habits, as well as investigate the potential influence of personality on this relationship.

METHODS

For this cross-sectional investigation, a national survey conducted in China in 2022 recruited a total of 21,916 individuals. The Family Health Scale was utilized to assess the health of the family. The 10-item Big Five Inventory scale was utilized to assess the Big five personality traits. The relationship between big five personality, family health, and smoking were investigated using binary and linear logistic regression. The indirect effects mediated by Big five personality were analyzed using mediation analysis with Sobel tests, and the indirect effects were composited using the Karlson-Holm-Breen method.

RESULTS

The overall prevalence of smoking in the study population was 14.87%, 26.19% for males and 3.54% for females. Urban and rural smoking prevalence was 13.81% and 16.10% respectively. Binary logistic regression analysis revealed a significant negative relationship between smoking and family health (odds ratio 0.964, 95% CI 0.959, 0.970, P < 0.001) with covariates controlled. The Karlson-Holm-Breen composition facilitated the connection between extraversion (47.81%) and nervousness (52.19%).

CONCLUSIONS

Preventive interventions for smoking behavior should prioritize family health and the Big five personality as significant areas to focus on. According to this study, in addition to implementing various interventions for different personalities, family health should be strengthened to reduce smoking behavior.

Patient-Level Characteristics Associated with Tobacco Users and Nonusers at a Student-Run Free Clinic

OBJECTIVES

Many tobacco users are motivated to quit but lack the resources to do so. To date, studies characterizing tobacco users at student-run free clinics have used small sample sizes, which may not be large enough to detect differences across key variables. As such, we assessed sociodemographic differences between tobacco users and nonusers at a student-run free clinic using a pooled cross-sectional design.

METHODS

We used patient-level data from the electronic health records for all of the patients who were seen during January 2012 to February 2020 inclusive. Our dependent variable was whether patients self-reported tobacco use. We assessed for differences across age, sex, race/ethnicity, and education level using a multivariable logistic regression model.

RESULTS

Across 4264 patients, 28.7% reported tobacco use. When controlling for other factors, greater odds of tobacco use were observed in this cohort for patients who were male (odds ratio [OR] 1.690, 95% confidence interval [CI] 1.468-1.944), those with educational attainment of 9th to 11th grade (OR 2.291, 95% CI 1.558-3.369), and those who were high school graduates/completed the General Education Development test (OR 1.849, 95% CI 1.295-2.638) compared with those with less than a high school education. Similarly, patients of older age had greater odds of tobacco use.

CONCLUSIONS

Our study found patient-level differences that may need to be integrated into improving the reach of intervention methods. Future research should look at a broader set of metrics (eg, geographic location, socioeconomic status) and ascertain reasons for sociodemographic differences observed.

Social Risk and Smoking Among Women Smokers Early in the COVID-19 Pandemic: The Role of Mental Health

Background: We examined patterns of smoking in relation to health-related socioeconomic vulnerability (HRSV) among U.S. women early in the pandemic and whether mental health symptoms mediated these relationships. Materials and Methods: Data were obtained from the April 2020 National U.S. Women's Health COVID-19 Study (N = 3200). Among current smokers, adjusted odds of increased smoking since the start of the pandemic (vs. same or less) by incident and worsening HRSVs were modeled. Structural equation modeling was used to assess anxiety, depression, and traumatic stress symptoms as mediators of the relationship between six HRSVs (food insecurity; housing, utilities, and transportation difficulties; interpersonal violence; financial strain) and increased smoking early in the pandemic. Results: Nearly half (48%) of current smokers reported increased smoking since the pandemic started. Odds of increased smoking were higher among women with incident financial strain (aOR = 2.0, 95% CI 1.2-3.3), incident food insecurity (aOR = 2.9, 95% CI 1.7-5.1), any worsening HRSV (aOR = 2.2, 95% CI 1.5-3.0), and worsening food insecurity (aOR = 1.9, 95% CI 1.3-3.0). Anxiety symptoms were a significant, partial mediator of the relationship between increased smoking and any worsening HRSVs (proportion mediated = 0.17, p = 0.001) and worsening food insecurity (0.19, p = 0.023), specifically. Depression symptoms were a significant, partial mediator of the relationship between increased smoking and any worsening HRSVs (0.15, p = 0.004) and incident financial strain (0.19, p = 0.034). Traumatic stress was not a significant mediator of any tested relationship. Conclusions: Anxiety and depression symptoms partially explain the relationship between rising socioeconomic vulnerability and increased smoking among women early in the pandemic. Addressing HRSVs and mental health may help reduce increased smoking during a public health crisis.

Socio-economic status moderates within-person associations of risk factors and smoking lapse in daily life

BACKGROUND AND AIMS

Individuals of lower socio-economic status (SES) display a higher prevalence of smoking and have more diffxiculty quitting than higher SES groups. The current study investigates whether the within-person associations of key risk (e.g. stress) and protective (self-efficacy) factors with smoking lapse varies by facets of SES.

DESIGN AND SETTING

Observational study using ecological momentary assessment to collect data for a 28-day period following a smoking quit attempt. Multi-level mixed models (i.e. generalized linear mixed models) examined cross-level interactions between lapse risk and protective factors and indicators of SES on smoking lapse.

PARTICIPANTS

A diverse sample of 330 adult US smokers who completed a larger study examining the effects of race/ethnicity and social/environmental influences on smoking cessation.

MEASUREMENTS

Risk factors included momentary urge, negative affect, stress; protective factors included positive affect, motivation, abstinence self-efficacy; SES measures: baseline measures of income and financial strain; the primary outcome was self-reported lapse.

FINDINGS

Participants provided 43 297 post-quit observations. Mixed models suggested that income and financial strain moderated the effect of some risk factors on smoking lapse. The within-person association of negative [odds ratio (OR) = 0.967, 95% CI= 0.945, 0.990, P < 0.01] and positive affect (OR = 1.023, 95% CI = 1.003, 1.044, P < 0.05) and abstinence self-efficacy (OR = 1.020, 95% CI = 1.003, 1.038, P < 0.05) on lapse varied with financial strain. The within-person association of negative affect (OR = 1.005, 95% CI = 1.002, 1.008, P < 0.01), motivation (OR = 0.995, 95% CI = 0.991, 0.999, P < 0.05) and abstinence self-efficacy (OR = 0.996, 95% CI = 0.993, 0.999, P < 0.01) on lapse varied by income. The positive association of negative affect with lapse was stronger among individuals with higher income and lower financial strain. The negative association between positive affect and abstinence self-efficacy with lapse was stronger among individuals with lower financial strain, and the negative association between motivation and abstinence self-efficacy with lapse was stronger among those with higher income. The data were insensitive to detect statistically significant moderating effects of income and financial strain on the association of urge or stress with lapse.

CONCLUSION

Some risk factors (e.g. momentary negative affect) exert a weaker influence on smoking lapse among lower compared to higher socio-economic status groups.

Associations between relative deprivation with opioid use among working-age adults during the great recession

Recessions, poverty, and unemployment have been associated with opioid use. However, these measures of financial hardship may be imprecise, limiting our ability to understand this relationship. We tested associations between relative deprivation and non-medical prescription opioid use (NMPOU) and heroin use among working-age adults (ages 18-64) during the Great Recession. Our sample included working-age adults in the 2005-2013 United States National Survey of Drug Use and Health (n = 320,186). Relative deprivation compared the lowest limit of participants' income category to the national 25th percentile individual income for people with similar socio-demographic characteristics (race and ethnicity, gender, year). We distinguished the period before (1/2005-11/2007), during (12/2007-06/2009), and after (07/2007-12/2013) the Great Recession. We estimated odds of past-year NMPOU and heroin use for each past-year exposure (i.e., relative deprivation, poverty, unemployment) using separate logistic regressions adjusting for individual-level covariates (gender, age, race/ethnicity, marital status, and education) and national-level annual Gini coefficient. Our results show that NMPOU was higher among people experiencing relative deprivation (aOR = 1.13, 95% CI = 1.06-1.20), poverty (aOR = 1.22, 95% CI = 1.16-1.29), and unemployment (aOR = 1.42, 95% CI = 1.32-1.53) between 2005 and 2013, as was heroin use (aORs = 2.54, 2.09, 3.55, respectively). The association between relative deprivation and NMPOU was modified by recession timing, and was significantly higher after the Recession (aOR = 1.21, 95% CI = 1.11-1.33). Relative deprivation was associated with higher odds of NMPOU and heroin use, and higher odds of NMPOU after the Great Recession. Our findings suggest contextual-level factors may modify the relationship between relative deprivation and opioid use, and support the need for new measures of financial hardship.

Exhaled Carbon Monoxide Level and Practices among Tobacco and Nicotine Adult Users in Klang Valley, Malaysia

Tobacco and nicotine derivatives uses are multiple in nature. These include conventional cigarettes (CCs), heated tobacco products (HTPs), and electronic cigarettes (ECs). This study aims to determine the practices, nicotine dependency profile, association with exhaled carbon monoxide (eCO) level, and pulmonary function (PF) among adult product users and non-smokers. This cross-sectional study involved smokers, nicotine users, and non-smokers from two public health facilities in Kuala Lumpur from December 2021 to April 2022. Data on socio-demography, smoking profile, nicotine dependency level, anthropometry, eCO monitor, and spirometer measurements were recorded. Out of 657 respondents, 52.1% were non-smokers, 48.3% were CC only smokers, poly-users (PUs) (27.3%), EC-only users (20.9%), and HTP-only users (3.5%). EC use was prevalent among the younger aged, tertiary educated, and females; HTP use was prevalent among those of an older age and CC users was common among lower educated males. The highest median eCO (in ppm) seen were as follows: in CC users only (13.00), PUs (7.00), EC users (2.00), HTP users (2.00), and the least was observed among non-smokers (1.00), which is significantly different across the groups (p <0.001). Comparison of practice between the different product users showed significant differences in age of product initiation (p <0.001, youngest in CC users in PUs), duration of product use (p <0.001, longest in exclusive CC users), cost per month (p <0.001, highest in exclusive HTP users) and attempt to quit product (p <0.001, CC use in PUs had the highest attempt to quit), while there is no significant difference in Fagerström score across the groups. Among EC users, 68.2% successfully switched from smoking CCs to ECs. The findings suggest that EC and HTP users are exhaling less CO. The use of these products in a targeted approach may manage nicotine addiction. Switching practice was higher among current EC users (from using CCs), hence emphasizing the need of switching encouragement and total nicotine abstinence later on. Lower eCO levels in the PU group, (as compared to CC-only users) and high quit attempt rate among in CC use in PUs may indicate attempt of PUs in reducing CC use through alternative modalities such as ECs and HTPs.

Impact of smoking cessation on household food security

PURPOSE

Smokers can spend a substantial amount on cigarettes, potentially constraining their ability to purchase food. We tested the association of smoking cessation and household food security.

METHODS

Using the Current Population Survey (2001-2019), we longitudinally linked the Tobacco Use Supplement and the Food Security Supplement (n = 71,278). Among adult smokers (n = 13,144), we used modified Poisson regression to model household food insecurity as a function of quit status (continuing smokers vs. recent quitters), adjusting for sex, age, household size, children in the household, and other household smokers. We also used multinomial logistic regression to examine more detailed food security status (high, marginal, low, very low).

RESULTS

The adjusted probability of household food insecurity at follow-up was 11% (95% CI: 8.7%-13%) for recent quitters and 20% (95% CI: 19%-21%) for continuing smokers. Continuing smokers had a lower adjusted probability of high food security (69% vs. 80%) and a higher adjusted probability of marginal (11% vs. 9.8%), low (12% vs. 7%), and very low food security (7.8% vs. 3.6%) compared to recent quitters.

CONCLUSIONS

Cigarette cessation is associated with a lower risk of household food insecurity. Therefore, promoting tobacco cessation alongside food assistance and poverty reduction policies may help alleviate food insecurity.

Structural interventions that affect racial inequities and their impact on population health outcomes: a systematic review

Structural racism is the historical and ongoing reinforcement of racism within society due to discriminatory systems and inequitable distribution of key resources. Racism, embedded within institutional structures, processes and values, perpetuates historical injustices and restricts access to structural factors that directly impact health, such as housing, education and employment. Due to the complex and pervasive nature of structural racism, interventions that act at the structural level, rather than the individual level, are necessary to improve racial health equity. This systematic review was conducted to evaluate the effects of structural-level interventions on determinants of health and health outcomes for racialized populations. A total of 29 articles are included in this review, analyzing interventions such as supplemental income programs, minimum wage policies, nutrition safeguard programs, immigration-related policies, and reproductive and family-based policies. Most studies were quasi-experimental or natural experiments. Findings of studies were largely mixed, although there were clear benefits to policies that improve socioeconomic status and opportunities, and demonstrable harms from policies that restrict access to abortion or immigration. Overall, research on the effects of structural-level interventions to address health inequities is lacking, and the evidence base would benefit from well-designed studies on upstream policy interventions that affect the structural determinants of health and health inequities and improve daily living conditions.

Modeling of smoking intensity by age at smoking onset among Iranian adult male using generalized additive model

Because the age at which a person first starts smoking has such a strong correlation with future smoking behaviours, it's crucial to examine its relationship with smoking intensity. However, it is still challenging to accurately prove this relationship due to limitations in the methodology of the performed studies. Therefore the main purpose of this study is to evaluate the potential risk factors affecting the intensity of smoking, especially the age of smoking onset among Iranian adult male smokers over 18 years of age using a generalized additive model (GAM). In GAM a latent variable with logistic distribution and identity link function was considered. Data from 913 Iranian male current smokers over the age of 18 was evaluated from a national cross-sectional survey of non-communicable disease (NCD) risk factors in 2016. Individuals were classified into: light, moderate, and heavy smokers. A GAM was used to assess the relationship. The results showed that 246 (26.9%) subjects were light smokers, 190 (20.8%) subjects were moderate smokers and 477 (52.2%) subjects were heavy smokers. According to the GAM results, the relationship was nonlinear and smokers who started smoking at a younger age were more likely to become heavy smokers. The factors of unemployment (OR = 1.364, 95% CI 0.725–2.563), retirement (OR = 1.217, 95% CI 0.667–2.223), and exposure to secondhand smoke at home (OR = 1.364, 95% CI 1.055–1.763) increased the risk of heavy smoking. but, smokers with high-income (OR = 0.742, 95% CI 0.552–0.998) had a low tendency to heavy smoking. GAM identified the nonlinear relationship between the age of onset of smoking and smoking intensity. Tobacco control programs should be focused on young and adolescent groups and poorer socio-economic communities.

Household expenditure of smokers and ex-smokers across socioeconomic groups: results from a large nationwide Australian longitudinal survey

BACKGROUND

Countries with best practice tobacco control measures have experienced significant reductions in smoking prevalence, but socioeconomic inequalities remain. Spending on tobacco products, particularly by low-income groups can negatively affect expenditure on other goods and services. This study aims to compare the household expenditure of adults who smoke tobacco products and those who formerly smoked across socioeconomic groups.

METHODS

Daily smokers and ex-smokers were compared using the Household, Income and Labour Dynamics in Australia Survey, over 7 waves. Adults who never smoked were not included. Participants were continuing sample members across waves. Mean number of participants per wave was 2505, 25% were smokers and 75% ex-smokers. The expenditure variables investigated included tobacco products, alcohol, motor vehicle fuel, health practitioners, insurance, education, and meals eaten out. Regression models using the generalized estimating equation technique were employed to compare expenditure data aggregated across the waves by Socioeconomic Index for Areas (SEIFA) quintiles of relative socio-economic advantage/disadvantage while accounting for within-participant autocorrelation. Quintiles are ranked by information such as the income, occupation and access to material and social resources of the residents.

RESULTS

Smokers from all quintiles spent significantly less per year on meals out, education and insurance than ex-smokers (p < 0.001). Smokers from quintiles 2-5 spent less on groceries, medicines, and health practitioners (p < 0.01). Smokers from quintiles 1 and 2 (most disadvantaged), spent less on motor vehicle fuel than ex-smokers ($280;95%CI: $126-$434), ($213;95%CI: $82-$344). Smokers from quintiles 2 and 3 spent more on alcohol ($212;95%CI: $86-$339), ($231.8;95%CI: $94-$370) than ex-smokers. Smokers from the least disadvantaged groups spent less on clothing than ex-smokers ($348;95%CI: $476-$221), ($501; 95%CI: $743-$258). Across the whole sample, smokers spent more than ex-smokers on alcohol ($230;95%CI:$95-$365) and less on meals out ($361;95%CI:$216-$379), groceries ($529;95%CI:$277-$781), education ($456;95%CI:$288-$624), medicine ($71;95%CI:$38-$104), health practitioners ($345;95%CI:$245-$444) and insurance ($318;95%CI:$229-$407).

CONCLUSIONS

Smoking cessation leads to reallocation of spending across all socioeconomic groups, which could have positive impacts on households and their local communities. Less spending on alcohol by ex-smokers across the whole sample could indicate a joint health improvement associated with smoking cessation.

Low housing quality, unmet social needs, stress and depression among low-income smokers

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Over 60% of low-income smokers reported housing quality problems.

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Problems with housing quality were among the most common social needs.

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Housing quality problems were associated with worse measures of health.

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Poor housing quality may exacerbate health disparities for low-income smokers.

Smokers are at greater risk of multiple health conditions that are exacerbated by environmental hazards associated with low housing quality. However, little is known about the prevalence of low housing quality among low-income smokers. Using correlations and logistic regression, we examined associations among eight housing quality indicators – pests, water leaks, mold, lead paint, and working smoke detectors, appliances, heating, and air conditioning – and between housing quality and social needs, depressive symptoms, perceived stress, sleep problems, and self-rated health in a community-based sample of 786 low-income smokers from 6 states. Most participants were female (68%), and White (45%) or African-American (43%). One in four (27%) completed less than high school education, and 41% reported annual pre-tax household income of less than $10,000. Housing quality problems were common. Most participants (64%) reported at least one problem in their home, and 41% reported two or more problems, most commonly pest infestations (40%), water leaks (22%), lack of air conditioning (22%) and mold (18%). Lack of heat and air conditioning were correlated, as were water leaks and mold. Using logistic regression analyses controlling for participant demographic characteristics, we found that reporting more housing quality problems was associated with greater odds of worse mental and physical health outcomes. Multiple health threats, including housing quality, depressive symptoms, stress, poor sleep, and financial strain may be mutually reinforcing and compound the health consequence of smoking. Future research should seek to replicate these findings in other samples, and examine associations longitudinally to better understand causality.

Efficacy and utilization of smartphone applications for smoking cessation among low-income adults: Secondary analysis of the iCanQuit randomized trial

INTRODUCTION

Evidence of digital interventions that are efficacious among low-income populations is scarce. In a secondary analysis, we determined the efficacy and utilization of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus a U.S. Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation in low-income adults enrolled in the iCanQuit randomized trial.

METHODS

Participants were randomized to receive iCanQuit (n = 437) or QuitGuide (n = 460) for 12-months. Consistent with the main trial, the primary outcome was self-reported complete-case 30-day point prevalence abstinence (PPA) at 12-months. Secondary outcomes were 7-day PPA, missing-as-smoking and multiple imputation, prolonged abstinence, and cessation of all tobacco products at 12-months. Outcome data retention, utilization, and change in ACT-based processes were compared across arms.

RESULTS

Participants were recruited from 48 U.S. states. Retention rate was 88% at 12-months and did not differ by arm. At 12-months, iCanQuit was 1.46 times more efficacious than QuitGuide for smoking cessation (27% vs. 20%; OR=1.46 95% CI: 1.04, 2.06). Findings were similar for missing-as-smoking imputation (23% vs. 18%; OR=1.41 95% CI: 1.01, 1.97) and multiple imputation at 12-months (27% vs. 20%; OR=1.51 95% CI: 1.07, 2.14). Treatment utilization was significantly higher among iCanQuit than QuitGuide participants. Increased acceptance of cues to smoke mediated the effect of treatment on cessation.

CONCLUSIONS

The iCanQuit smartphone application was more efficacious and engaging for smoking cessation among low-income adults than a USCPG-based smartphone application. A nationwide dissemination trial of iCanQuit is warranted to determine whether iCanQuit may alleviate cessation-related disparities among low-income adults.

Financial strain and electronic nicotine delivery systems use among U.S. young adults: A longitudinal panel analysis, 2013-2018

INTRODUCTION

Financial strain is associated with an increased likelihood of cigarette smoking, but less is known about its association with electronic nicotine delivery systems (ENDS) use. This study examined longitudinal associations of financial strain with ENDS use behaviors among young adults.

METHODS

We analyzed in 2020 four waves (2013-2018) of the Population Assessment of Tobacco and Health, a nationally representative longitudinal study. A total of 5740 U.S. young adults (aged 18-24 years at baseline) had matched data for all four waves. We used generalized linear mixed modeling which accounts for correlations between repeated measures. Weighted logistic regressions assessed the association between financial strain and three different types of ENDS use behaviors (i.e., everyday, some-day, and experimental use), adjusting for major confounders including poverty, mental health symptoms, and other substance use behaviors.

RESULTS

Frequency and proportion of everyday ENDS use showed a linear increase over time whereas some-day and experimental uses showed quadratic trends, increasing with a peak at Wave 2 and then decreasing over time. Financial strain prospectively predicted some-day (adjusted odds ratio [AOR] = 1.32; 95% CI = 1.03-1.69) and experimental (AOR = 1.25; 95% CI = 1.02-1.52) ENDS use, but not everyday use.

CONCLUSIONS

The findings of the current study indicate the need for distinctly different approaches for non-daily ENDS users from daily users. Our findings further suggest that ENDS use prevention and cessation efforts should consider financial strain of young adults particularly for non-daily users to thwart them from progressing towards nicotine dependence and long-term use.

Comparative Safety of Smoking Cessation Pharmacotherapies During a Government-Sponsored Reimbursement Program

INTRODUCTION

The British Columbia Ministry of Health launched a Smoking Cessation Program on September 30, 2011, providing financial coverage for smoking cessation pharmacotherapies. Although pharmacotherapies have been shown to have a moderate short-term benefit as a quitting aid, substantial cardiovascular and neuropsychiatric safety concerns have been identified in adverse-reporting databases, leading to prescription label warnings by Health Canada and the U.S. Food and Drug Administration. However, recent studies indicate these warnings may be without merit. This study examined the comparative safety of medications commonly used to aid smoking cessation.

AIMS AND METHODS

Population-based retrospective cohort study using B.C. administrative data to assess the relative safety between varenicline, bupropion, and nicotine replacement therapies (NRTs). The primary outcome was a composite of cardiovascular hospitalizations. Secondary outcomes included mortality, a composite of neuropsychiatric hospitalizations, and individual components of the primary outcome. Statistical analysis used propensity score-adjusted log-binomial regression models. A sensitivity analysis excluded patients with a history of cardiovascular disease.

RESULTS

The study included 116 442 participants. Compared with NRT, varenicline was associated with a 10% 1-year relative risk decrease of cardiovascular hospitalization (adjusted risk ratio [RR] = 0.90, 95% confidence interval (CI): 0.82 to 1.00), a 20% 1-year relative risk decrease of neuropsychiatric hospitalization (RR: 0.80, CI: 0.7 to 0.89), and a 19% 1-year relative risk decrease of mortality (RR: 0.81, CI: 0.71 to 0.93). We found no significant association between NRT and bupropion for cardiovascular hospitalizations, neuropsychiatric hospitalizations, or mortality.

CONCLUSIONS

Compared with NRT, varenicline is associated with fewer serious adverse events and bupropion the same number of serious adverse events.

IMPLICATIONS

This study addresses the need for comparative safety evidence in a real-world setting of varenicline and bupropion against an active comparator. Compared with NRT, varenicline was associated with a decreased risk of mortality, serious cardiovascular events, and neuropsychiatric events during the treatment, or shortly after the treatment, in the general population of adults seeking pharmacotherapy to aid smoking cessation. These results provide support for the removal of the varenicline boxed warning for neuropsychiatric events and add substantively to the cardiovascular safety findings of previous observational studies and randomized clinical trials.

The Intersection of Food Insecurity and Tobacco Use: A Scoping Review

Cigarette smoking is increasingly concentrated in socioeconomically disadvantaged groups, and food insecurity also disproportionately affects lower-income groups. Recent studies have suggested that smoking and food insecurity operate as risk factors for one another, but there is limited understanding of their intersection. This scoping review aimed to synthesize the published literature on the association between food insecurity and tobacco use across population groups in the United States and Canada. We searched PubMed, Web of Science, and PsycINFO using key words. Studies included were published in English between 2008 and 2018, reported empirical findings, measured both tobacco use and food insecurity, and considered either variable as a study outcome. Nineteen articles were identified; 6 examined tobacco use as an outcome variable and 13 examined food insecurity as an outcome variable. Most articles were of studies using cross-sectional designs. Study samples ranged from general populations, clinical samples, and underserved populations. For each article, we extracted information including specific findings related to the association between food insecurity and tobacco use. We synthesized the current research by formulating a model by which food insecurity and tobacco use are bidirectionally associated. This scoping review concludes that the co-occurrence of food insecurity and tobacco use exists across populations in the United States and Canada. As the evidence is largely from cross-sectional investigations, there is a need for longer term, comprehensive assessments of relationships between tobacco use and food insecurity. Such investigations can inform policies and interventions aimed toward addressing the inequitable burden of tobacco use and of food insecurity among disadvantaged populations.

Examining Reciprocal Effects of Cigarette Smoking, Food Insecurity, and Psychological Distress in the U.S

In the U.S., cigarette smoking is increasingly concentrated in disadvantaged and vulnerable populations, such as populations with lower income and with mental health needs. Food insecurity is linked with psychological distress and is an independent risk factor for smoking. We prospectively examined how cigarette smoking, food insecurity, and psychological distress operate as risk factors for one another in a 2-year longitudinal analysis of U.S. adults from the 2015 and 2017 Panel Study of Income Dynamics, a nationally representative household survey (N = 7946). Using cross-lagged panel analysis, cross-lagged regression coefficients were estimated simultaneously with direct-effect paths, controlling for covariates. Results showed significant bidirectional associations between smoking and food insecurity: 2015 smoking predicted 2017 food insecurity, and 2015 food insecurity predicted 2017 smoking. Food insecurity and psychological distress also had significant bidirectional associations. However, the association between smoking and psychological distress was unidirectional: 2015 psychological distress predicted 2017 smoking, but not vice versa. The findings suggest a cyclical possibility that smoking exacerbates food insecurity, food insecurity exacerbates psychological distress, and psychological distress exacerbates smoking. There is a need to replicate with more timepoints, but our results highlight the importance of examining the overlapping health burdens of smoking, food insecurity, and psychological distress.

Smoking Status and Symptoms of Depression During and After Pregnancy Among Low-Income Women

OBJECTIVE

To describe the point prevalence rates, relapse rates, smoking status, and symptoms of depression and to examine the relationship between smoking status and symptoms of depression from early pregnancy to 12 months after childbirth among low-income women.

DESIGN

Secondary data analysis.

SETTING

Data from the national Nurse-Family Partnership program.

PARTICIPANTS

Women who were enrolled in the national Nurse-Family Partnership program between 2011 and 2016 with histories of smoking 3 months before pregnancy (N = 1,554).

METHODS

We used smoking status and Edinburgh Postnatal Depression Scale scores in early pregnancy, late pregnancy, and 12 months after childbirth to identify point prevalence rates, relapse rates, smoking status, and symptoms of depression. We used chi-square and additional analyses to examine the relationship between smoking status and symptoms of depression.

RESULTS

The prevalence of smoking was 30.12% (n = 468) in early pregnancy, 24.39% (n = 379) in late pregnancy, and 50.58% (n = 786) 12 months after childbirth. Prevalence rates of a positive depression screening result were 30.31% (n = 471), 20.46% (n = 318), and 18.08% (n = 281), respectively. Smoking relapse rates were 2.45% (n = 38) during the third trimester and 27.86% (n = 433) at 12 months after childbirth. Eight distinct patterns of smoking and depression were identified. Women who smoked were significantly more likely to also have positive depression screening results during the third trimester and at 12 months after childbirth compared with nonsmoking women (OR = 1.37, 95% confidence interval [1.04, 1.81] and OR = 1.93, 95% confidence interval [1.47, 2.51], respectively).

CONCLUSION

Prevalence rates of smoking, relapse, and positive depression screening results were great in this sample of low-income women during and after pregnancy. Pivotal time points exist where the trajectory of smoking and depression screening patterns may change. It is important for smoking cessation interventions to incorporate mental health assessment and treatment.

Exploring food insecurity and obesity in Dutch disadvantaged neighborhoods: a cross-sectional mediation analysis

BACKGROUND

Food insecurity is related to risk of adverse health outcomes such as obesity, but the explanatory factors underlying this association are still unclear. This study aimed to assess the association between food insecurity and obesity, and to explore potential mediation by sociodemographic and lifestyle factors.

METHODS

This cross-sectional study was conducted among 250 participants in a deprived urban area in the Netherlands. Data on sociodemographic and lifestyle factors, food insecurity status and diet quality were collected using questionnaires. Diet quality was determined based on current national dietary guidelines. BMI was calculated from self-reported height and weight. Regression analyses were performed to explore the association between food insecurity and BMI status. Mediation analyses were performed to estimate the total-, direct-, and indirect effect and proportion of total effect mediated of the food insecurity-obesity association.

RESULTS

The overall prevalence of food insecurity was 26%. Food insecurity was associated with obesity (OR = 2.49, 95%CI = 1.16, 5.33), but not with overweight (OR = 1.15, 95%CI = 0.54, 2.45) in the unadjusted model. The food insecurity-obesity association was partially mediated by living situation (proportion mediated: 15.4%), diet quality (- 18.6%), and smoking status (- 15.8%) after adjustment for other covariates.

CONCLUSIONS

The findings of this study suggest an association between food insecurity and obesity. Living situation, diet quality and smoking status explained part, but not all, of the total association between food insecurity and obesity. Future longitudinal studies are warranted to examine the temporal order of the food insecurity-obesity association and potential mediators in this relationship. In addition, food insecurity and its potential consequences need to be taken into account in obesity prevention programs and policies.

What drives us apart? Decomposing intersectional inequalities in cigarette smoking by education and sexual orientation among U.S. adults

Background

Socio-economic and sexual orientation inequalities in cigarette smoking are well-documented; however, there is a lack of research examining the social processes driving these complex inequalities. Using an intersectional framework, the current study examines key processes contributing to inequalities in smoking between four intersectional groups by education and sexual orientation.

Methods

The sample (28,362 adults) was obtained from Wave 2 (2014–2015) of the Population Assessment of Tobacco and Health (PATH) Study. Four intersectional positions were created by education (high- and low-education) and sexual orientation (heterosexual or lesbian, gay, bisexual, or queer/questioning (LGBQ). The joint inequality, the referent socio-economic inequality, and the referent sexual orientation inequality in smoking were decomposed by demographic, material, tobacco marketing-related, and psychosocial factors using non-linear Oaxaca decomposition.

Results

Material conditions made the largest contribution to the joint inequality (9.8 percentage points (p.p.), 140.9%), referent socio-economic inequality (10.01 p.p., 128.4%), and referent sexual orientation inequality (4.91 p.p., 59.8%), driven by annual household income. Psychosocial factors made the second largest contributions to the joint inequality (2.12 p.p., 30.3%), referent socio-economic inequality (2.23 p.p., 28.9%), and referent sexual orientation inequality (1.68 p.p., 20.5%). Referent sexual orientation inequality was also explained by marital status (20.3%) and targeted tobacco marketing (11.3%).

Conclusion

The study highlights the pervasive role of material conditions in inequalities in cigarette smoking across multiple dimensions of advantage and disadvantage. This points to the importance of addressing material disadvantage to reduce combined socioeconomic and sexual orientation inequalities in cigarette smoking.

Association of Cumulative Socioeconomic and Health-Related Disadvantage With Disparities in Smoking Prevalence in the United States, 2008 to 2017

IMPORTANCE

Understanding emerging patterns of smoking disparities among disadvantaged populations can guide tobacco control policy.

OBJECTIVE

To estimate disparities in smoking prevalence associated with the number of socioeconomic and health-related disadvantages faced by a population among US adults from 2008 to 2017.

DESIGN, SETTING, AND PARTICIPANTS

Nationally representative cross-sectional annual household-based probability sample of US noninstitutionalized residents. Polytomous regression estimated associations of disadvantage variables, survey year, and their interaction with the following 3 pairwise contrasts: current vs never smoking (estimate of overall disparities), current vs former smoking (unique contribution of disparities in smoking cessation), and former vs never smoking (unique contribution of disparities in smoking initiation). The setting was in-home face-to-face interviews. Participants were respondents in 2008 to 2017 survey years who were aged 25 years or older (N = 279 559).

EXPOSURES

Self-reported past-year unemployment, income below the federal poverty line, absence of high school diploma, disability/limitation interfering with daily functions, serious psychological distress on the Kessler 6-item screen, and at least 60 past-year heavy drinking days, each coded yes or no. These indicators were summed in a cumulative disadvantage index (0, 1, 2, 3, 4, or 5 or 6).

MAIN OUTCOMES AND MEASURES

Self-reported current, former (ever smoked ≥100 cigarettes, had since quit, and not currently smoking), and never (<100 cigarettes) smoking.

RESULTS

Among 278 048 respondents (mean [SD] age, 51.9 [16.8] years; 55.7% female) with data on smoking history (99.5% of the sample), the mean current smoking prevalence across 2008 to 2017 compared with populations without disadvantages was successively higher among populations with 1 disadvantage (21.4% vs 13.8%; current vs never smoking adjusted odds ratio [OR], 2.34; 95% CI, 2.27-2.43), 2 disadvantages (26.6% vs 13.8%; OR, 3.55; 95% CI, 3.39-3.72), 3 disadvantages (35.1% vs 13.8%; OR, 5.35; 95% CI, 5.05-5.66), 4 disadvantages (45.7% vs 13.8%; OR, 8.59; 95% CI, 7.91-9.34), or 5 or 6 disadvantages (58.2% vs 13.8%; OR, 14.70; 95% CI, 12.30-17.50). In current vs former and former vs never smoking status contrasts, ORs were lower but also showed successively greater associations with increasing cumulative disadvantage. Current (vs never) smoking odds significantly declined each year among populations with 0 (OR, 0.95; 95% CI, 0.94-0.96), 1 (OR, 0.96; 95% CI, 0.95-0.97), or 2 (OR, 0.98; 95% CI, 0.97-0.99) disadvantages but did not change across 2008 to 2017 among those with 3 or more disadvantages.

CONCLUSIONS AND RELEVANCE

Results of this study demonstrate that US disparities in smoking prevalence from 2008 to 2017 were successively larger with each additional disadvantage faced, were expressed in higher smoking initiation odds and lower smoking cessation odds, and widened over time.

The Prevalence of Smoking, Determinants and Chance of Psychological Problems among Smokers in an Urban Community Housing Project in Malaysia

Objective: This study was conducted to assess the prevalence, pattern of smoking and sociodemographic factors among Kerinchi residents in Kuala Lumpur, as well as to identify the association between smoking, stress, anxiety and depression. Methods: This study was carried out at four community housing projects in the Lembah Pantai area in Kuala Lumpur. Data was collected between 3 February 2012, and 29 November 2012. Data collectors made house visits and used interviewer administered questionnaires containing questions on demographic data and smoking patterns. Depression anxiety stress scale (DASS) was used to assess psychological symptoms. Alcohol smoking and substance involvement screening tool (ASSIST) scale was used to assess nicotine use. Results: Data from 1989 individuals (833 households) showed the age of respondents ranged from 18 to 89 years and the mean age was 39.12 years. There were 316 smokers indicating the prevalence of smoking was 15.85%, with 35.5% among males and 1.8% among females. Further, 86.6% of smokers were Malay and 87% were Muslims. Divorce was associated with smoking. Unemployment and housewives were less associated with smoking. Depression and anxiety were significantly associated with smoking (OR = 1.347. 95% CI: 1.042–1.741) and (OR = 1.401. 95% CI: 1.095–1.793) respectively. Conclusion: Screening for depression and anxiety should be routinely performed in the primary care setting and in population-based health screening to intervene early in patients who smoke.

Socioeconomic differences in nicotine exposure and dependence in adult daily smokers

BACKGROUND

Socioeconomic status (SES) is a major determinant of tobacco use but little is known whether SES affects nicotine exposure and the degree of nicotine dependence.

METHODS

The Pennsylvania Adult Smoking Study is a cross-sectional study of smoke exposure and nicotine dependence among adults conducted in central Pennsylvania between June 2012 and April 2014. The study included several measures of SES, including assessments of education and household income, as well as occupation, home ownership, health insurance, household density and savings accounts. Measurements included saliva for the nicotine metabolites cotinine (COT), 3-'hydroxycotinine (3HC) and total metabolites (COT +3HC). Puffing behavior was determined using portable smoking topography devices.

RESULTS

The income levels of lighter smokers (< 20 cigarettes per day) was $10,000 more than heavier smokers. Higher Fagerström Test for Nicotine Dependence scores were associated with lower income and job status, scores ranged from 5.4 in unemployed, 4.4 in blue-collar, and 3.8 in white-collar workers. In principal components analysis used to derive SES indicators, household income, number in household, and type of dwelling were the major SES correlates of the primary component. Job category was the major correlate of the second component. Lower SES predicted significantly higher adjusted total nicotine metabolite levels in the unemployed group. Job category was significantly associated with total daily puffs, with the highest level in the unemployed, followed by blue-collar workers, after adjustment for income.

CONCLUSIONS

Among smokers, there was a relationship between lower SES and increased nicotine dependence, cigarettes per day and nicotine exposure, which varied by job type.

US state cigarette tax increases and smoke-free legislation in relation to cigarette expenditure across household socio-economic circumstances: a quasi-experimental study

BACKGROUND AND AIMS

While research has focused on outcomes of tobacco control policies, less is known about the mechanisms by which policies may affect tobacco use. We estimated the associations of changes in cigarette taxes and smoke-free legislation with (1) any household cigarette expenditure and (2) the level of household expenditure on cigarettes, as well as (3) tested interactions with socio-economic circumstances.

DESIGN

Difference-in-differences regression models to estimate the associations between changes in US state cigarette taxes and smoke-free legislation with changes in household expenditure on cigarettes.

SETTING

Forty US states and District of Columbia.

PARTICIPANTS

From annual, cross-sectional surveys (with a longitudinal component) between 2000 and 2014, 128 138 households interviewed quarterly in the Consumer Expenditure Survey.

MEASUREMENTS

Dependent measures included any household cigarette expenditure, expenditure in real dollars and budget share of cigarette expenditure. Policy measures included state cigarette taxes and 100% smoke-free legislation. Covariates included respondent age, race/ethnicity, sex; household education; poverty level; family structure; and number of children and adults.

FINDINGS

Every $1.00 cigarette tax increase was associated with a 1.5 percentage point (-0.028, -0.002) reduction in any cigarette expenditure and an increase of 0.1% (0.1%, 0.1%) budget share and $10.11 ($8.38, $11.84) absolute expenditure. The association with absolute expenditure was stronger among smoking households above poverty level ($10.73; $8.94, $12.51) than below ($4.72; $2.37, $7.07). The enactment of smoke-free legislation was associated with $2.33 (-$4.56, -$0.10) less expenditure, but not with any expenditure (0.1%; -1.6%, 1.8%) or budget share (-0.1%; -0.1%, 0.1%). The association with absolute expenditure was stronger among households above poverty level (-$2.62; -$4.95, -$0.29) than below (-$0.34; -$4.27, $3.58) CONCLUSION: Cigarette tax increases in the United States between 2000 and 2014 may have reduced smoking prevalence due to an absolute and relative increase in household tobacco expenditure while smoke-free policies appear to have led to a reduction in expenditure. Although tax increases had a stronger impact on absolute expenditure among households above the poverty level, impact on relative expenditure was similar, and consequences for socio-economic inequalities in smoking will vary based on the broader financial situation of households.

The Experimental Tobacco Marketplace: Narratives engage cognitive biases to increase electronic cigarette substitution

BACKGROUND

The Experimental Tobacco Marketplace (ETM) is a digital storefront in which participants can purchase tobacco products using an account balance that reflects their typical tobacco product purchasing. The ETM is also an ideal resource to investigate the harm-reduction potential of alternative nicotine products such as e-cigarettes. In a series of experiments, we explored the effects of harm-reduction narratives that encouraged e-cigarette substitution of conventional cigarettes in the ETM. These narratives incorporated different cognitive biases in order to determine which strategy is most effective.

METHODS

In both experiments, participants, recruited from Amazon Mechanical Turk, read a narrative about a friend that either falls ill or faces financial difficulties and then made purchases in the ETM. Some of these narratives specifically incorporated different cognitive biases including trusting authority. Across ETM trials, the price of conventional cigarettes increased while the price of the alternative products, including e-cigarettes, remained constant.

RESULTS

Across both experiments, a general pattern emerged supporting the effectiveness of narratives in increasing e-cigarette purchasing. Importantly, from a harm-reduction perspective, this increase in e-cigarette substitution frequently corresponded with a decrease in conventional cigarette purchasing.

CONCLUSIONS

Narratives can decrease conventional cigarette and increase e-cigarette purchasing in an ETM that mimics real-world marketplaces. Invoking different cognitive biases may bolster this effect. Narratives can be a valuable harm-reduction tool because they are cost-effective, can be widely disseminated, and can be personalized to individuals.

End-of-day reports of daily hassles and stress in men and women with opioid-use disorder: Relationship to momentary reports of opioid and cocaine use and stress

BACKGROUND AND AIMS

Stress can be validly assessed "live" or by a summary evaluation of the very recent past. Using smartphone-based ecological momentary assessment (EMA) combined with end-of-day (EOD) entries, we assessed the association between daily hassles, stressful events and use of opioids and cocaine, in opioid- and cocaine-using men and women.

METHODS

For up to 16 weeks, 161 outpatients in opioid-agonist treatment who reported cigarette smoking carried smartphones on which they reported stressful events (SEs) and drug use (DU) and completed an EOD questionnaire to report hassles encountered throughout the day, current perceived stress, cigarettes/day, and current mood. We compared EOD responses on days with and without SE and DU reports and on days when thrice-weekly urine drug screens indicated opioid or cocaine use or abstinence.

RESULTS

Participants (N = 161) made 11,544 EOD entries; EMA SEs were reported on 861 (7.5%) days, and DUs on 1685 (14.6%) days. The most frequently reported hassles in EOD entries were "not enough money" (31.4% of daily reports) and maintaining abstinence (18.7%). Total EOD hassles showed small but statistically significant associations [odds ratios (95% CIs)] with EMA SEs [1.09 (1.06-1.13)], DUs [1.08 (1.06-1.10)], and urine-positive opioid [1.06 (1.04-1.09)] and cocaine [1.03 (1.00-1.06)] results. Men and women had similar rates (mean/day (SD)) of hassles: men 2.25 (3.55); women 2.55 (3.76) (F_1,159 = 0.53, p = 0.47).

CONCLUSIONS

Daily hassles, reported at the end of the day, are associated with both same-day stressful events and drug use. Monitoring hassles and devising specific coping strategies might be useful therapeutic targets.

Determinants of cigarette smoking and smoking intensity among adult males in Ghana

BACKGROUND

In spite of the adverse health and financial implications of smoking, it still remains one of the leading causes of preventable diseases and deaths in the world. Key to discouraging the habit of smoking is knowledge of the drivers of smoking. In Ghana, though smoking behaviours are relatively more associated with adult males than youth and adolescents, studies on smoking behaviours of adult males are scant. This study, therefore, investigates the determinants of cigarette smoking and smoking intensity among adult males in Ghana.

METHODS

Data were obtained from the most recent Ghana Demographic and Health Survey (DHS) conducted in 2014. Based on the 2014 GDHS, a negative binomial-logit hurdle model was estimated to explore the socioeconomic and demographic characteristics associated with cigarette consumption and smoking intensity among adult males in Ghana. To ensure robustness, separate estimations were performed for the respective logit and negative binomial models used in the two-part model.

RESULTS

We find that men in lower socioeconomic category (poor and low education) have a higher likelihood to smoke. Also, age proved significant in explaining smoking behaviors in Ghana. Moreover, religion and region of residence are reported to affect cigarette consumption decision. Furthermore, we find that among the men who smoke, those between the ages of 44 and 60 years and have attained approximately primary education have a higher likelihood to smoke greater quantities of cigarette daily. Also, the smokers who reside in the Upper East and Upper West regions are reported to smoke more intensely than their counterparts in the Greater Accra region.

CONCLUSION

Since smoking remains one of the major causes of diseases and deaths the world over, the current study provides recent empirical evidence based on a nationally representative sample for public health policies geared towards smoking reduction and ultimately cessation. This study suggests that public policies that promote higher educational attainment and improved incomes (wealth) are crucial in smoking reduction and cessation in Ghana.

Subsistence difficulties are associated with more barriers to quitting and worse abstinence outcomes among homeless smokers: evidence from two studies in Boston, Massachusetts

Background

Three-quarters of homeless people smoke cigarettes. Competing priorities for shelter, food, and other subsistence needs may be one explanation for low smoking cessation rates in this population. We analyzed data from two samples of homeless smokers to examine the associations between subsistence difficulties and 1) smoking cessation readiness, confidence, and barriers in a cross-sectional study, and 2) smoking abstinence during follow-up in a longitudinal study.

Methods

We conducted a survey of homeless smokers (N = 306) in 4/2014–7/2014 and a pilot randomized controlled trial (RCT) for homeless smokers (N = 75) in 10/2015–6/2016 at Boston Health Care for the Homeless Program. In both studies, subsistence difficulties were characterized as none, low, or high based on responses to a 5-item scale assessing the frequency of past-month difficulty finding shelter, food, clothing, a place to wash, and a place to go to the bathroom. Among survey participants, we used linear regression to assess the associations between subsistence difficulty level and readiness to quit, confidence to quit, and a composite measure of perceived barriers to quitting. Among RCT participants, we used repeated-measures logistic regression to examine the association between baseline subsistence difficulty level and carbon monoxide-defined brief smoking abstinence assessed 14 times over 8 weeks of follow-up. Analyses adjusted for demographic characteristics, substance use, mental illness, and nicotine dependence.

Results

Subsistence difficulties were common in both study samples. Among survey participants, greater subsistence difficulties were associated with more perceived barriers to quitting (p < 0.001) but not with cessation readiness or confidence. A dose-response relationship was observed for most barriers, particularly psychosocial barriers. Among RCT participants, greater baseline subsistence difficulties predicted less smoking abstinence during follow-up in a dose-response fashion. In adjusted analyses, individuals with the highest level of subsistence difficulty had one-third the odds of being abstinent during follow-up compared to those without subsistence difficulties (OR 0.33, 95% CI 0.11–0.93) despite making a similar number of quit attempts.

Conclusions

Homeless smokers with greater subsistence difficulties perceive more barriers to quitting and are less likely to do so despite similar readiness, confidence, and attempts. Future studies should assess whether addressing subsistence difficulties improves cessation outcomes in this population.

Trial registration

ClinicalTrials.gov: NCT02565381.

Financial strain indirectly influences smoking cessation through withdrawal symptom severity

BACKGROUND

Financial strain has an adverse impact on smoking cessation. However, the mechanisms through which financial strain influences cessation remain unclear. The purpose of the current study was to determine whether financial strain indirectly influenced smoking cessation through withdrawal symptom severity.

METHODS

Participants (N=139) were primarily Black (63.3%) and female (57.6%) adults enrolled in a smoking cessation program at a safety-net hospital. A self-report financial strain questionnaire was completed one week prior to the scheduled quit date, and the Wisconsin Smoking Withdrawal Scale (WSWS) was completed on the day after the scheduled quit date. Biochemically-verified 7-day point prevalence abstinence was assessed four weeks after the scheduled quit date. Adjusted mediation analyses were conducted using the PROCESS macro for SPSS to evaluate the indirect effects of financial strain on smoking cessation via post-quit withdrawal symptom severity.

RESULTS

Analyses indicated a significant indirect effect of financial strain on smoking cessation through total withdrawal symptom severity, B=0.027; 95% CI (0.003, 0.066); and specifically anger, B=0.035; 95% CI (0.008, 0.074), anxiety, B=0.021; 95% CI (0.001, 0.051), and sleep symptoms, B=0.015; 95% CI (0.005, 0.043). Greater pre-quit financial strain was associated with greater post-quit withdrawal symptom severity, which increased the likelihood of non-abstinence 4 weeks after the scheduled quit attempt. The direct effect of financial strain on smoking cessation was not significant in any of the mediation models.

CONCLUSIONS

Findings: suggest that withdrawal severity is an underlying mechanism through which financial strain influences smoking cessation.

Prevalence of food insecurity among food bank users in Germany and its association with population characteristics

The prevalence of food insecurity (FI) among food bank users in many European countries is unknown. The study aims to examine FI prevalence and associated population characteristics among this particular group of disadvantaged people in Germany. Food insecurity status was assessed among 1033 adult food bank users with a mean age of 53 years (57% female, 43% male) in Germany in 2015 using the food insecurity experience scale (FIES). About half of the participants (55.8%) were single with no children and born in Germany. Over 37% had a self-reported BMI of 30 kg/m² or above and 37.4% indicated to smoke. Over 70% of the food bank users can be described as food insecure. Of those, about 35% were considered mildly food insecure. Almost 30% were categorized as moderately food insecure while over 7% were categorized as severely food insecure. Significant associations with food insecurity were found for gender, age, subjective health status, smoking, duration of food bank use, school education and family type. Among this socially disadvantaged population, food insecurity is highly prevalent and public health efforts should be focusing on this vulnerable population taken into account the identified population and behavioral characteristics associated with food insecurity.

Sex/Gender Differences in Cotinine Levels Among Daily Smokers in the Pennsylvania Adult Smoking Study

BACKGROUND

This study was conducted to determine sex/gender differences in smoke exposure and to quantify the role of potential predictors including puffing behaviors, nicotine dependence, and non-nicotinic factors.

METHODS

The Pennsylvania Adult Smoking Study (PASS) of 332 adult cigarette smokers utilized portable handheld topography devices to capture the smokers' profiles in a naturalistic environment. Sex/gender differences in salivary biomarkers were modeled using ANCOVA to account for measures of dependence (Fagerstrom Test for Nicotine Dependence, nicotine metabolite ratio [3-hydroxycotinine/cotinine]), and nondependence covariates including anthropomorphic factors and stress. The Blinder-Oaxaca method was used to decompose the sex/gender differences in nicotine uptake due to covariates.

RESULTS

Men had significantly higher cotinine levels (313.5 ng/mL vs. 255.8 ng/mL, p < 0.01), cotinine +3-hydroxycotinine levels, (0.0787 mol/L vs. 0.0675 mol/L, p = 0.01), puff volumes (52.95 mL vs. 44.77 mL, p < 0.01), and a lower nicotine metabolite ratio (0.396 vs. 0.475, p = 0.01) than women. The mean Fagerström Test for Nicotine Dependence score did not differ between men and women (p = 0.24). Women had a higher mean Hooked on Tobacco Checklist score than men (7.64 vs. 6.87, p < 0.01). In multivariate analysis, nicotine metabolite levels were not significantly different by sex. Decomposition results show that ten predictors can explain 83% of the sex/gender differences in cotinine uptake. Height was the greatest contributor to these differences, followed by average puff volume. Conclusion and Impact: The higher levels of nicotine metabolites in men, compared to women, can be explained by height, weight, puff volume, and nicotine metabolism.

Smoking and finances: baseline characteristics of low income daily smokers in the FISCALS cohort

BACKGROUND

Financial stress is a barrier to successful smoking cessation and a key predictor of relapse. Little is known about the financial situation of low-income Australian daily smokers. This study aims to describe and investigate associations between the financial functioning, tobacco use and quitting behaviours of low income daily smokers.

METHODS

Low-income Australian adult smokers in the 'Financial Intervention for Smoking Cessation Among Low-income Smokers (FISCALS) randomised clinical trial completed a structured telephone questionnaire.

RESULTS

The median number of cigarettes typically smoked by the 1047 participants was 23 per day. The median spent on tobacco per week was AU$80. Three quarters (73.0%) reported some financial stress and 43.2% reported smoking-induced deprivation. Financial stress was significantly associated with deprivation (IRR: 1.23, 95% CI 1.21, 1.26, p < 0.001). There were no significant associations either between adjusted financial stress or deprivation and motivation to quit or certainty of quit success.

CONCLUSIONS

Financial stress and smoking induced deprivation were prevalent among low-income daily smokers, but they were not associated with motivation to quit. Smoking cessation interventions need to be responsive to the role financial stress plays in reducing quit attempts and increasing relapse.

TRIAL REGISTRATION

Australian and New Zealand Clinical trials Registry ACTRN12612000725864 6/07/2012.