The Impact of the Covid-19 Pandemic on Smoking Among Vulnerable Populations

Associations Between U.S. High-School Student and Parental Job Loss During the COVID-19 Pandemic and Student Substance Use: Adolescent Behaviors and Experiences Survey (ABES), 2021

BACKGROUND

Job loss among both adults and adolescents increased markedly early in the COVID-19 pandemic. While parental job loss has been associated with the adverse effects, including adolescent substance use, no research is available on the effects of adolescent job loss on substance use.

METHODS

Analyses of Adolescent Behaviors and Experiences Survey (ABES) data from January to June 2021 were conducted to assess associations between parent and student pre-pandemic employment status and pandemic-era job loss and adolescent substance use behaviors. Cigarette, electronic vapor product (EVP), alcohol, and drug use were examined in a nationally representative sample of 7,705 U.S. high-school students.

RESULTS

Compared to students who did not lose their job during the pandemic, students reporting job loss had significantly elevated prevalences of current EVP use (29.9% vs. 19.7%), drinking more alcohol during the pandemic (25.3% vs. 16.7%), and current marijuana use (25.8% vs. 15.6%). Additionally, parental job loss was significantly associated with all substance use behaviors.

CONCLUSIONS

Higher levels of substance use associated with student and parental job loss, as well as parental unemployment, indicate that care may be needed for those students experiencing these losses. School-based intervention and prevention programs, including job loss supports for students, could be useful.

Contextualizing Changes in e-Cigarette Use During the Early COVID-19 Pandemic and Accompanying Infodemic ("So Much Contradictory Evidence"): Qualitative Document Analysis of Reddit Forums

BACKGROUND

Understanding how social media platforms facilitate information exchange and influence behavior during health crises can enhance public health responses during times of uncertainty. While some risk factors for COVID-19 susceptibility and severity (eg, old age) were clear, whether e-cigarette use increased risk was not clear. People who used e-cigarettes had to navigate both the COVID-19 infodemic and a conflicting, politicized, and changing information environment about the interaction between COVID-19 and e-cigarette use.

OBJECTIVE

This study aims to characterize and contextualize e-cigarette-related behavior changes during the early COVID-19 pandemic and illuminate the role that social media played in decision-making.

METHODS

We conducted a qualitative analysis of COVID-19-related e-cigarette discussions on 3 Reddit forums about e-cigarettes. We collected 189 relevant discussion threads made in the first 6 months of the pandemic (collected from June 27, 2020, to July 3, 2020). Threads included 3155 total comments (mean 17 comments) from approximately 1200 unique Redditors. We developed and applied emergent codes related to e-cigarette perceptions and behaviors (eg, the role of nicotine in COVID-19 and do-it-yourself narratives) and web-based community interactions (eg, advice), identified thematic patterns across codes, and developed a model to synthesize the socioecological context of e-cigarette behaviors.

RESULTS

e-Cigarette subreddits provided a platform for Redditors to discuss perceptions and experiences with e-cigarettes, make sense of information, and provide emotional support. Discussions reflected an array of e-cigarette-related behavioral responses, including increases and decreases in use intensity, changes in purchasing practices (eg, stockpiling), and changes in vaping practices (eg, reusing disposable pods). This study presented a theoretically and empirically informed model of how circumstances created by the pandemic (eg, changes in activity space and product shortages) compelled behavior changes. Redditors drew from their existing perceptions, intentions, and experiences with nicotine and tobacco products; their personal pandemic experiences; and their participation on Reddit to decide whether and how to change their e-cigarette behaviors during the early pandemic. Forums reflected uncertainty, stress, and debate about the rapidly evolving and complicated public health information. Consumption and discussion of media (eg, news articles and peer-reviewed publications) on Reddit informed e-cigarette perceptions and behaviors. Decisions were complicated by distrust of the media.

CONCLUSIONS

Variations in individual traits and environmental circumstances during the early COVID-19 pandemic provide context for why there was no unified direction of e-cigarette behavior change during this period. Information and discussion on Reddit also informed risk perceptions and decisions during the pandemic. Social media is an effective and important place to communicate public health information, particularly during crisis or disaster situations. Moving forward, transparent, accurate, and specific message development should consider the stress, struggles, and stigma of people who use e-cigarettes and address the roles mistrust and misinformation play in decisions.

Smoking and Risks Contributing to COVID-19 Hospitalization in Washoe County, Nevada, 2020-2021

OBJECTIVES

To investigate the association between smoking behavior and COVID-19 hospitalization, integrating individual and regional factors such as community resilience and social determinants of health (SDOH), addressing gaps in existing research.

DESIGN

Retrospective cohort study utilizing multilevel analytical methods to evaluate the effects of individual smoking status and regional SDOH on COVID-19 hospitalization.

SETTING

Washoe County, Nevada, during the first year of the COVID-19 pandemic (March 5, 2020, to April 30, 2021).

PARTICIPANTS

All reported laboratory-positive COVID-19-infected adult residents of Washoe County collected by the Washoe County Health District through mandated disease surveillance for which smoking status was recorded, totaling 10,215 cases after data cleaning.

MAIN OUTCOME MEASURE

Hospitalization among those with COVID-19 was the primary outcome measure, analyzed in relation to individual smoking status and zip code tabulation area (ZCTA)-level SDOH variables.

RESULTS

The analysis found that individuals infected with COVID-19 who currently and formerly smoked had significantly higher odds of hospitalization compared to those who never had smoked, with odds ratios adjusted for demographics and comorbidities. An increased odds of hospitalization among those with COVID-19 were associated with higher local unemployment, a significant ZCTA-level factor.

CONCLUSIONS

Smoking may have increased the odds of hospitalization among those infected with COVID-19, as well as the socioeconomic factor of unemployment. The integration of SDOH into the assessment of health outcomes underscores the need for targeted public health interventions that address both individual behaviors and community-level factors. Future research should continue to explore these factors to inform more effective public health strategies and policy decisions.

Smoking Status in Pregnancy: A Retrospective Analysis in Northern Greece

Background and Objectives: Smoking has adverse effects on both maternal and fetal health and its incidence varies among different countries. The aim of this study was to identify the prevalence of smoking during pregnancy and to identify factors associated with smoking. Materials and Methods: This was a retrospective study conducted at the Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, during an 11-year period (2013-2023). All women receiving antenatal care in our unit were eligible to participate when they attended the prenatal unit for the first trimester nuchal translucency scan (11+0-13+6 weeks). Results: Of the 12,074 pregnant women included in the study, 5005 (41.5%) reported themselves as smokers before pregnancy; the smoking cessation rate due to pregnancy was 70.2% (3516/5005) and the prevalence of smoking in pregnancy was 12.3% (1489/12,074). Multiparity was associated with less odds of smoking before pregnancy (OR: 0.79; 95% CI: 0.73-0.85), whereas advanced maternal age (OR: 1.17; 95% CI: 1.07-1.27) and obesity (OR: 1.44; 95% CI: 1.29-1.6) were associated with higher odds of smoking before pregnancy. Smoking prevalence in pregnancy was lower in women that conceived via assisted reproductive techniques (ARTs) (OR: 0.52; 95% CI: 0.38-0.70) and higher in cases of multiparity (OR: 1.12; 95% CI: 1.008-1.26) and maternal obesity (OR: 1.55; 95% CI: 1.20-2.00). Conception via ARTs was associated with higher odds of smoking cessation (OR: 1.9; 95% CI: 1.38-2.69), whereas multiparous (OR: 0.7; 95% CI: 0.62-0.8) and obese women (OR: 0.72; 95% CI: 0.61-0.85) were less likely to quit smoking. Conclusions: Pregnancy is a strong motivator for women to quit smoking, especially in primiparous women and those undergoing ARTs. Our findings highlight the need for more consistent smoking prevention and health promotion strategies in Greece as a very high proportion of women smoke before pregnancy and a substantial proportion continue in pregnancy.

Nursing leadership in tobacco dependence treatment to advance health equity: An American Academy of Nursing policy manuscript

BACKGROUND

Tobacco use remains the leading cause of preventable disease, disability, and death in the United States and is a significant cause of health disparities.

PURPOSE

The purpose of this paper is to update the Tobacco Control policy paper published over a decade ago by the American Academy of Nursing's Health Behavior Expert Panel Tobacco Control subcommittee.

METHODS

Members reviewed and synthesized published literature from 2012 to 2024 to identify the current state of the science related to nurse-led tobacco dependence treatment and implications for nursing practice, education, and research.

FINDINGS

The results confirmed that nurse-led tobacco dependence treatment interventions are successful in enhancing cessation outcomes across settings.

DISCUSSION

Recommendations for nursing leaders include: promote tobacco dependence treatment as standard care, accelerate research on implementation of evidence-based treatment guidelines, reduce health disparities by extending access to evidence-based treatment, increase nursing competency in providing tobacco treatment, and drive equity-focused tobacco control policies.

A Complex Interplay: Navigating the Crossroads of Tobacco Use, Cardiovascular Disease, and the COVID-19 Pandemic: A WHF Policy Brief

The Coronavirus Disease 2019, commonly referred to as COVID-19, is responsible for one of the deadliest pandemics in human history. The direct, indirect and lasting repercussions of the COVID-19 pandemic on individuals and public health, as well as health systems can still be observed, even today. In the midst of the initial chaos, the role of tobacco as a prognostic factor for unfavourable COVID-19 outcomes was largely neglected. As of 2023, numerous studies have confirmed that use of tobacco, a leading risk factor for cardiovascular and other diseases, is strongly associated with increased risks of severe COVID-19 complications (e.g., hospitalisation, ICU admission, need for mechanical ventilation, long COVID, etc.) and deaths from COVID-19. In addition, evidence suggests that COVID-19 directly affects multiple organs beyond the respiratory system, disproportionately impacting individuals with comorbidities. Notably, people living with cardiovascular disease are more prone to experiencing worse outcomes, as COVID-19 often inherently manifests as thrombotic cardiovascular complications. As such, the triad of tobacco, COVID-19 and cardiovascular disease constitutes a dangerous cocktail. The lockdowns and social distancing measures imposed by governments have also had adverse effects on our lifestyles (e.g., shifts in diets, physical activity, tobacco consumption patterns, etc.) and mental well-being, all of which affect cardiovascular health. In particular, vulnerable populations are especially susceptible to tobacco use, cardiovascular disease and the psychological fallout from the pandemic. Therefore, national pandemic responses need to consider health equity as well as the social determinants of health. The pandemic has also had catastrophic impacts on many health systems, bringing some to the brink of collapse. As a result, many health services, such as services for cardiovascular disease or tobacco cessation, were severely disrupted due to fears of transmission and redirection of resources for COVID-19 care. Unfortunately, the return to pre-pandemic levels of cardiovascular disease care activity has stagnated. Nevertheless, digital solutions, such as telemedicine and apps, have flourished, and may help reduce the gaps. Advancing tobacco control was especially challenging due to interference from the tobacco industry. The industry exploited lingering uncertainties to propagate misleading information on tobacco and COVID-19 in order to promote its products. Regrettably, the links between tobacco use and risk of SARS-CoV-2 infection remain inconclusive. However, a robust body of evidence has, since then, demonstrated that tobacco use is associated with more severe COVID-19 illness and complications. Additionally, the tobacco industry also repeatedly attempted to forge partnerships with governments under the guise of corporate social responsibility. The implementation of the WHO Framework Convention on Tobacco Control could address many of the aforementioned challenges and alleviate the burden of tobacco, COVID-19, and cardiovascular disease. In particular, the implementation of Article 5.3 could protect public health policies from the vested interests of the industry. The world can learn from the COVID-19 pandemic to better prepare for future health emergencies of international concern. In light of the impact of tobacco on the COVID-19 pandemic, it is imperative that tobacco control remains a central component in pandemic preparedness and response plans.

Improvements in mental health associated with increased electronic communication and deterioration in physical health in adults aged 50+ during the COVID-19 pandemic

Background

Previous studies have documented changes in physical health, mental health and social parameters during COVID-19. At the same time, there are no comprehensive analyses of these parameters designed as longitudinal studies on large-scale older populations before and during the pandemic.

Objective

This longitudinal study aims to provide a quantitative analysis of the COVID-19 impact on the physical, mental, and social parameters in adults aged 50 and older before, in the early stages, and during the COVID-19 pandemic.

Methods

The data for this study were collected from three waves of the Survey of Health, Ageing and Retirement in Europe (SHARE), a supranational longitudinal database: pre-COVID (October 2019-March 2020), early-COVID (June-September 2020), and during-COVID (June-August 2021). The sample included 31,526 individuals, compared across the three-time points through nonparametric group comparison tests.

Results

Physical health was subjectively rated as poorer in the during-COVID wave compared to the pre-COVID wave. Additionally, the number of illnesses or health conditions reported in the during-COVID wave was significantly higher than in the pre-COVID wave, with the biggest increases registered for cardiovascular diseases. The results also show that employment and overall social contact decreased while loneliness increased over time. Unexpectedly, mental health issues, such as sadness or depression and trouble sleeping, decreased significantly in the COVID waves compared to the pre-COVID wave. The analysis of two additional pre-COVID waves (2015, 2017) revealed that poorer pre-COVID mental health reflected in high values of sadness or depression and trouble sleeping was not an isolated peak but represented a typical baseline. The positive influence on the individuals' mental health during COVID-19 was found to be electronic communication, which showed higher values than face-to-face communication and lowered the odds of sadness or depression.

Conclusion

Future policies should thus consider the positive impact of electronic contacts on mental health to promote overall health in adults aged 50 and older.

The Gap of Health Inequalities Amongst Lung Cancer Patients of Different Socioeconomic Status: A Brief Reference to the Greek Reality

Lung cancer treatment and patient care are constantly improving, but it remains doubtful whether this applies equally to all socioeconomic groups. It is nowadays well established that there are socioeconomic inequalities regarding lung cancer incidence, screening, effective treatment, overall survival, and prognosis. One of the key contributing factors to low socioeconomic status is low education. Low educational level is correlated with several factors, such as smoking habits, bad lifestyle behaviors, lower paid and unhealthier occupations, polluted neighborhoods, and genetic-familial risk, that lead to increased lung cancer incidence. The disparities regarding lung cancer care are further enhanced by stigma. On this basis and inspired by the gap in health equality among the Greek population, the Greek Society of Lung Cancer initiated a campaign, "MIND THE GAP", to help increase awareness and minimize the gap associated with lung cancer, both in Greece and across Europe. The aim of this review is to explore the gap of health inequalities regarding lung cancer incidence and prognosis between patients of different SES and its root of causality. Key pivotal actions towards bridging this gap are reviewed as well.

COVID-19 and tobacco products use among US adults, 2021 National Health Interview Survey

Background

Smoking and vaping are linked to lung inflammation and lowered immune response.

Objective

Examine the prevalence of coronavirus disease 2019 (COVID-19) cases, testing, symptoms, and vaccine uptake, and associations with tobacco product use.

Methods

Data came from the 2021 National Health Interview Survey. The 2021 Sample Adult component included 29,482 participants with a response rate of 50.9%. We investigated COVID-19-related outcomes by tobacco product use status and reported national estimates. Multivariable regression models were performed accounting for demographics (e.g., age, sex, poverty level), serious psychological distress, disability, and chronic health conditions.

Results

In our regression analyses, odds of self-reported COVID-19 infection were significantly lower for combustible tobacco product users (vs. nonusers; adjusted odds ratio [AOR = 0.73; 95% confidence interval [CI] = 0.62-0.85]). Combustible tobacco users also were less likely to report ever testing for COVID-19 (AOR = 0.88; 95% CI = 0.79-0.98), ever testing positive for COVID-19 (AOR = 0.66; 95% CI = 0.56-0.77), and ever receiving COVID-19 vaccine (AOR = 0.58; 95% CI = 0.51-0.66) compared with their nonuser peers. Compared to nonusers, users of any type of tobacco who contracted COVID-19 had higher odds of losing smell (AOR = 1.36; 95%CI = 1.04-1.77), which was more pronounced among exclusive e-cigarette users. The odds of receiving vaccine were lower for all current exclusive tobacco product users compared to nonusers (AORs = 0.40 to 0.70).

Conclusions

Continued monitoring of tobacco product use and its association with respiratory diseases such as COVID-19 is crucial to inform public health policies and programs. In addition, efforts to promote vaccination, especially among tobacco product users, are warranted.

Impact of mandatory masking amid the COVID-19 pandemic on outdoor smoking: an interrupted time-series analysis of a 33-month unobtrusive observational study

Background

Mask-wearing in outdoor public places in Hong Kong was mandated on 29 July 2020, amid the COVID-19 pandemic. We aimed to evaluate the impact of mandatory masking with no exemption for smoking on outdoor smoking.

Methods

We conducted 253 unobtrusive observations at 10 outdoor smoking hotspots in 33 months from July 2019 to March 2022 and counted smokers and non-smoking pedestrians in fixed boundaries. We conducted interrupted time-series analyses on the monthly mean volume of smokers (persons per hour) using generalized linear models. The independent variables were as follows: time since the first observation, implementation of the mask regulation, time since the regulation, seasonality, and waves 1-5 outbreaks. We checked the robustness of the association using the daily mean volume of smokers as the dependent variable. Two sensitivity analyses were conducted to include the hotspot location or the number of all pedestrians as an offset.

Results

Monthly outdoor smoking decreased immediately after the regulation (incidence rate ratio [IRR]: 0.505, 95% confidence interval [CI]: 0.374 to 0.680, P < 0.001). Daily smoking analysis and the two sensitivity analyses supported the results. However, monthly outdoor smoking increased by 11% since the regulation (IRR: 1.110, 95% CI: 1.074 to 1.147, P < 0.001). An exception was observed at the most severe wave 5 outbreak when monthly outdoor smoking decreased (IRR: 0.415, 95% CI: 0.327 to 0.525, P < 0.001).

Conclusion

Outdoor smoking fell immediately after mandatory masking, rebounded to pre-pandemic levels, and decreased again at the most severe wave 5.

Effectiveness of a Smoking Cessation Program during the COVID-19 Pandemic

The coronavirus disease-2019 pandemic has caused major obstacles for effective smoking cessation programs by significantly limiting access to healthcare. This cross-sectional analysis aimed to assess the effectiveness of a self-developed smoking cessation program during the pandemic. The program was based on remote lectures, educational interventions, and hybrid services provided by an outpatient clinic. We assessed 337 participants enrolled to the program between January 2019 and February 2022. Data on demographic characteristics, medical history, and smoking status at baseline and after at least 1-year follow-up were collected from medical records and a standardized self-developed questionnaire. Participants were classified into two groups according to their current smoking status. The smoking cessation rate at 1 year was 37% (95% confidence interval [CI]: 31-42%). Major predictors of smoking cessation were the place of residence, ability to refrain from smoking during severe illness, and the number of cigarettes smoked per day. The proportion of participants with high levels of nicotine dependence at baseline was 40.8% (95% CI: 34.5-47.5%) vs. 29.1% (95% CI: 23.4-35.5%) after the program. In the group that did not quit smoking, there were more participants who smoked within 5 min after waking up than before the program (40.4% [95% CI: 34.0-47.1%] vs. 25.4% [95% CI: 19.9-31.6%]). Effective smoking cessation interventions can be performed using remote counseling and education.