ABSTRACT
BACKGROUND: The increasing number of illicit drug toxicity deaths in British Columbia (BC) has led to calls for a regulated (pharmaceutical grade) supply of substances ("safe supply"). In order to inform safe supply recommendations, we aimed to identify why people currently smoke opioids and assess the preferred mode of consumption if people who use opioids were provided with opioid safe supply. METHODS: The BC Harm Reduction Client Survey (HRCS) is an annual survey that gathers information about people who use drugs' (PWUD) substance use characteristic with the goal of contributing to evidence-based policy. This study utilized data from the 2021 HRCS. The outcome variable was "prefer smoking opioid safe supply" ('yes/no'). Explanatory variables included participants' demographics, drug use, and overdose characteristics. Bivariate and hierarchical multivariable logistic regressions were conducted to identify factors associated with the outcome. RESULTS: Of 282 total participants who indicated a preference for a mode of consumption for opioid safe supply, 62.4% preferred a smokable option and 19.9% preferred to inject if provided with opioid safe supply. Variables significantly associated with the outcome (preferred smoking) included: being 19-29 years old (AOR=5.95, CI =1.93 - 18.31) compared to >50 years old, having witnessed an overdose in the last 6 months (AOR=2.26, CI=1.20 - 4.28), having smoked opioids in the last 3 days (AOR=6.35, CI=2.98 - 13.53) and having a preference to smoke stimulants safe supply (AOR=5.04, CI=2.53 - 10.07). CONCLUSION: We found that over half of participants prefer smokable options when accessing opioid safe supply. Currently in BC, there are limited smokable opioid safe supply options as alternatives to the toxic street supply. To reduce overdose deaths, safe supply options should be expanded to accommodate PWUD that prefer smoking opioids.
Subject(s)
Drug Overdose , Opioid-Related Disorders , Humans , Young Adult , Adult , Middle Aged , Analgesics, Opioid , British Columbia/epidemiology , Cross-Sectional Studies , Opioid-Related Disorders/epidemiology , Drug Overdose/epidemiology , SmokingABSTRACT
BACKGROUND: The Ask-Advise-Connect (AAC) approach can help primary care providers to increase the number of people who attempt to quit smoking and enrol into cessation counselling. We implemented AAC in Dutch general practice during the COVID-19 pandemic. In this study we describe how AAC was received in Dutch general practice and assess which factors played a role in the implementation. METHODS: A mixed-methods approach was used to evaluate the implementation of AAC. Implementation took place between late 2020 and early 2022 among 106 Dutch primary care providers (general practitioners (GPs), practice nurses and doctor's assistants). Quantitative and qualitative data were collected through four online questionnaires. A descriptive analysis was conducted on the quantitative data. The qualitative data (consisting of answers to open-ended questions) were inductively analysed using axial codes. The Consolidated Framework for Implementation Research was used to structure and interpret findings. RESULTS: During the study, most participants felt motivated (84-92%) and able (80-94%) to apply AAC. At the end of the study, most participants reported that the AAC approach is easy to apply (89%) and provides advantages (74%). Routine implementation of the approach was, however, experienced to be difficult. More GPs (30-48%) experienced barriers in the implementation compared to practice nurses and doctor's assistants (7-9%). The qualitative analysis showed that especially external factors, such as a lack of time or priority to discuss smoking due to the COVID-19 pandemic, negatively influenced implementation of AAC. CONCLUSIONS: Although AAC was mostly positively received in Dutch general practice, implementation turned out to be challenging, especially for GPs. Lack of time to discuss smoking was a major barrier in the implementation. Future efforts should focus on providing additional implementation support to GPs, for example with the use of e-health.
Subject(s)
COVID-19 , General Practice , Smoking Cessation , Humans , Pandemics/prevention & control , COVID-19/prevention & control , Smoking/epidemiologyABSTRACT
After more than two years the COVID-19 pandemic, that is caused by infection with the respiratory SARS-CoV-2 virus, is still ongoing. The risk to develop severe COVID-19 upon SARS-CoV-2 infection is increased in individuals with a high age, high body mass index, and who are smoking. The SARS-CoV-2 virus infects cells of the upper respiratory tract by entering these cells upon binding to the Angiotensin-converting enzyme 2 (ACE2) receptor. ACE2 is expressed in various cell types in the lung but the expression is especially high in goblet and ciliated cells. Recently, it was shown that next to its full-length isoform, ACE2 also has a short isoform. The short isoform is unable to bind SARS-CoV-2 and does not facilitate viral entry. In the current study we investigated whether active cigarette smoking increases the expression of the long or the short ACE2 isoform. We showed that in active smokers the expression of the long, active isoform, but not the short isoform of ACE2 is higher compared to never smokers. Additionally, it was shown that the expression of especially the long, active isoform of ACE2 was associated with secretory, club and goblet epithelial cells. This study increases our understanding of why current smokers are more susceptible to SARS-CoV-2 infection, in addition to the already established increased risk to develop severe COVID-19.
Subject(s)
COVID-19 , Humans , Spike Glycoprotein, Coronavirus/metabolism , SARS-CoV-2 , Angiotensin-Converting Enzyme 2 , Pandemics , Peptidyl-Dipeptidase A , Epithelium/metabolism , Smoking/adverse effectsSubject(s)
Smoking Cessation , Tobacco Products , Humans , Tobacco/adverse effects , Smoking/epidemiology , Asia/epidemiologyABSTRACT
OBJECTIVE: To determine the incidence of adverse reactions (AR) after the first dose of Pfizer-BioNTech vaccine, and to identify some factors associated with AR. METHOD: A retrospective cohort study was conducted. Data were obtained through an epidemiological survey answered online. Multivariate analyses were performed to identify factors associated with early (< 2 h) and late (≥ 2 h) AR. RESULTS: A total of 2295 health care workers were included; in them, the cumulative incidence of AR was 18.2% (95% confidence interval: 16.6-19.8), where the majority were late (78.2%). The associated factors that increased the risk of early AR were being female (odds ratio [OR]: 2.23, p = 0.002) and belonging to the medical staff (OR: 1.56; p = 0.041). In late AR were being female (OR: 1.94; p < 0.0001); on the other hand, diabetes (OR: 0.46; p = 0.021), asthma (OR: 0.53; p = 0.040) and smoking (OR: 0.44, p = 0.002) were inversely associated factors. Interestingly, history of COVID-19 was not associated with either early or late AR. CONCLUSIONS: The risk of presenting some type of AR due to the Pfizer-BioNTech vaccine in health care workers is < 20%.
OBJETIVO: Determinar la incidencia de reacciones adversas (RA) tras la primera dosis de la vacuna Pfizer-BioNTech e identificar algunos factores asociados con ellas. MÉTODO: Se realizó un estudio de cohorte retrospectiva. Los datos fueron obtenidos mediante una encuesta epidemiológica contestada en línea. Se realizaron análisis multivariados para identificar factores asociados con las RA tempranas (< 2 h) y tardías (≥ 2 h). RESULTADOS: Se incluyeron 2295 trabajadores de la salud; en ellos, la incidencia acumulada de RA fue del 18.2% (intervalo de confianza del 95%: 16.6-19.8%) y la mayoría fueron tardías (78.2%). Las RA tempranas más frecuentes fueron dolor local, cefalea y mareo; en las tardías fueron dolor local, cefalea y fatiga. No se documentaron casos de anafilaxia; sin embargo, en el grupo de RA tempranas y tardías hubo un caso y tres casos, respectivamente, con síntomas sistémicos que afectaron a dos órganos diferentes. Los factores asociados que incrementaron el riesgo de RA tempranas fueron ser mujer (odds ratio [OR]: 2.23; p = 0.002) y pertenecer al personal médico (OR: 1.56; p = 0.041). En las RA tardías fue ser mujer (OR: 1.94; p < 0.0001); por su parte, la diabetes (OR: 0.46; p = 0.021), el asma (OR: 0.53; p = 0.040) y el tabaquismo (OR: 0.44; p = 0.002) fueron factores asociados inversamente. Es interesante que la historia de COVID-19 no se asoció con RA tempranas ni tardías. CONCLUSIONES: El riesgo de presentar algún tipo de RA debido a la vacuna Pfizer-BioNTech en trabajadores de la salud es < 20%.
Subject(s)
COVID-19 , Diabetes Mellitus , Humans , Female , Male , Retrospective Studies , COVID-19/epidemiology , COVID-19/prevention & control , Smoking/adverse effects , Smoking/epidemiology , IncidenceABSTRACT
BACKGROUND: Despite significant progress in reducing tobacco use over the past 2 decades, tobacco still kills over 8 million people every year. Digital interventions, such as text messaging, have been found to help people quit smoking. Chatbots, or conversational agents, are new digital tools that mimic instantaneous human conversation and therefore could extend the effectiveness of text messaging. OBJECTIVE: This scoping review aims to assess the extent of research in the chatbot literature for smoking cessation and provide recommendations for future research in this area. METHODS: Relevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, Google Scholar, and Scopus, as well as additional searches on JMIR, Cochrane Library, Lancet Digital Health, and Digital Medicine. Studies were considered if they were conducted with tobacco smokers, were conducted between 2000 and 2021, were available in English, and included a chatbot intervention. RESULTS: Of 323 studies identified, 10 studies were included in the review (3 framework articles, 1 study protocol, 2 pilot studies, 2 trials, and 2 randomized controlled trials). Most studies noted some benefits related to smoking cessation and participant engagement; however, outcome measures varied considerably. The quality of the studies overall was low, with methodological issues and low follow-up rates. CONCLUSIONS: More research is needed to make a firm conclusion about the efficacy of chatbots for smoking cessation. Researchers need to provide more in-depth descriptions of chatbot functionality, mode of delivery, and theoretical underpinnings. Consistency in language and terminology would also assist in reviews of what approaches work across the field.
Subject(s)
Smoking Cessation , Text Messaging , Communication , Humans , Smokers , Smoking , Smoking Cessation/methodsABSTRACT
A COVID-19 patient often presents with multiple comorbidities and is associated with adverse outcomes. A comprehensive assessment of the prevalence of comorbidities in patients with COVID-19 is essential. This study aimed to assess the prevalence of comorbidities, severity and mortality with regard to geographic region, age, gender and smoking status in patients with COVID-19. A systematic review and multistage meta-analyses were reported using PRISMA guidelines. PubMed/MEDLINE, SCOPUS, Google Scholar and EMBASE were searched from January 2020 to October 2022. Cross-sectional studies, cohort studies, case series studies, and case-control studies on comorbidities reporting among the COVID-19 populations that were published in English were included. The pooled prevalence of various medical conditions in COVID-19 patients was calculated based on regional population size weights. Stratified analyses were performed to understand the variations in the medical conditions based on age, gender, and geographic region. A total of 190 studies comprising 105 million COVID-19 patients were included. Statistical analyses were performed using STATA software, version 16 MP (StataCorp, College Station, TX). Meta-analysis of proportion was performed to obtain pooled values of the prevalence of medical comorbidities: hypertension (39%, 95% CI 36-42, n = 170 studies), obesity (27%, 95% CI 25-30%, n = 169 studies), diabetes (27%, 95% CI 25-30%, n = 175), and asthma (8%, 95% CI 7-9%, n = 112). Moreover, the prevalence of hospitalization was 35% (95% CI 29-41%, n = 61), intensive care admissions 17% (95% CI 14-21, n = 106), and mortality 18% (95% CI 16-21%, n = 145). The prevalence of hypertension was highest in Europe at 44% (95% CI 39-47%, n = 68), obesity and diabetes at 30% (95% CI, 26-34, n = 79) and 27% (95%CI, 24-30, n = 80) in North America, and asthma in Europe at 9% (95% CI 8-11, n = 41). Obesity was high among the ≥ 50 years (30%, n = 112) age group, diabetes among Men (26%, n = 124) and observational studies reported higher mortality than case-control studies (19% vs. 14%). Random effects meta-regression found a significant association between age and diabetes (p < 0.001), hypertension (p < 0.001), asthma (p < 0.05), ICU admission (p < 0.05) and mortality (p < 0.001). Overall, a higher global prevalence of hypertension (39%) and a lower prevalence of asthma (8%), and 18% of mortality were found in patients with COVID-19. Hence, geographical regions with respective chronic medical comorbidities should accelerate regular booster dose vaccination, preferably to those patients with chronic comorbidities, to prevent and lower the severity and mortality of COVID-19 disease with novel SARS-CoV-2 variants of concern (VOC).
Subject(s)
Asthma , COVID-19 , Diabetes Mellitus , Hypertension , Male , Humans , COVID-19/epidemiology , SARS-CoV-2 , Prevalence , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Hypertension/epidemiology , Obesity/epidemiology , Asthma/epidemiology , SmokingABSTRACT
Corona virus disease (COVID-19) has been emerged as pandemic infectious disease. The recent epidemiological data suggest that the smokers are more vulnerable to infection with COVID-19; however, the influence of smoking (SMK) on the COVID-19 infected patients and the mortality is not known yet. In this study, we aimed to discern the influence of SMK on COVID-19 infected patients utilizing the transcriptomics data of COVID-19 infected lung epithelial cells and transcriptomics data smoking matched with controls from lung epithelial cells. The bioinformatics based analysis revealed the molecular insights into the level of transcriptional changes and pathways which are important to identify the impact of smoking on COVID-19 infection and prevalence. We compared differentially expressed genes (DEGs) between COVID-19 and SMK and 59 DEGs were identified as consistently dysregulated at transcriptomics levels. The correlation network analyses were constructed for these common genes using WGCNA R package to see the relationship among these genes. Integration of DEGs with network analysis (protein-protein interaction) showed the presence of 9 hub proteins as key so called "candidate hub proteins" overlapped between COVID-19 patients and SMK. The Gene Ontology and pathways analysis demonstrated the enrichment of inflammatory pathway such as IL-17 signaling pathway, Interleukin-6 signaling, TNF signaling pathway and MAPK1/MAPK3 signaling pathways that might be the therapeutic targets in COVID-19 for smoking persons. The identified genes, pathways, hubs genes, and their regulators might be considered for establishment of key genes and drug targets for SMK and COVID-19.
Subject(s)
COVID-19 , Humans , COVID-19/genetics , Transcriptome/genetics , SARS-CoV-2 , Lung , Epithelial Cells , Smoking/adverse effects , Smoking/genetics , Computational BiologyABSTRACT
The association between current smoking and coronavirus disease 2019 (COVID-19) progression remains uncertain. We aim to provide up-to-date evidence of the role of cigarette smoking in COVID-19 hospitalisation, severity and mortality. On 23 February 2022 we conducted an umbrella review and a traditional systematic review via PubMed/Medline and Web of Science. We used random-effects meta-analyses to derive pooled odds ratios of COVID-19 outcomes for smokers in cohorts of severe acute respiratory syndrome coronavirus 2 infected individuals or COVID-19 patients. We followed the Meta-analysis of Observational Studies in Epidemiology reporting guidelines. PROSPERO: CRD42020207003. 320 publications were included. The pooled odds ratio for current versus never or nonsmokers was 1.08 (95% CI 0.98-1.19; 37 studies) for hospitalisation, 1.34 (95% CI 1.22-1.48; 124 studies) for severity and 1.32 (95% CI 1.20-1.45; 119 studies) for mortality. Estimates for former versus never-smokers were 1.16 (95% CI 1.03-1.31; 22 studies), 1.41 (95% CI: 1.25-1.59; 44 studies) and 1.46 (95% CI 1.31-1.62; 44 studies), respectively. Estimates for ever- versus never-smokers were 1.16 (95% CI 1.05-1.27; 33 studies), 1.44 (95% CI 1.31-1.58; 110 studies) and 1.39 (95% CI 1.29-1.50; 109 studies), respectively. We found a 30-50% excess risk of COVID-19 progression for current and former smokers compared with never-smokers. Preventing serious COVID-19 outcomes, including death, seems the newest compelling argument against smoking.
Subject(s)
COVID-19 , Humans , Risk Factors , SARS-CoV-2 , Odds Ratio , Smoking/adverse effects , Smoking/epidemiologyABSTRACT
Mucosal vaccines offer several advantages over transdermal vaccines, including the ability to acquire systemic and mucosal immunities. Smoking is a huge public health threat and major risk factor for various diseases that exacerbate or prolong respiratory symptoms and conditions. However, its impact on the efficacy of mucosal vaccines remains partially explored. Thus, this study investigates the effects of smoking on mucosal vaccine reactivity by assessing the induction of Th1 immunity, a vital response in infection defense. Cigarette smoke condensate was prepared as a substitute for mainstream smoke. We intranasally administered diphtheria toxoid as an antigen and natural CpG oligonucleotide G9.1, which enhances the Th1-type antibody (Ab) response in a plasmacytoid dendritic cells (pDCs) dependent manner, as an adjuvant to mice to assess the effect of cigarette smoke condensate on Ab responses. The mechanism of its effect was evaluated using human peripheral blood mononuclear cells and their pDC-rich fraction cultured with or without G9.1. In mice, cigarette smoke condensate tended to decrease diphtheria toxoid-specific Ab response, with a higher reduction in Th1-type IgG2 Ab response than in Th2-type IgG1 Ab response. In human peripheral blood mononuclear cells, cigarette smoke condensate significantly reduced the induction of IFN-α production by G9.1. Moreover, G9.1-induced increases in the CD83 expression in pDCs and the CD80 expression in DCs were suppressed via treatment with cigarette smoke condensate. Among the mechanisms suggested were decreased expression of toll-like receptor 9 mRNA, decreased expression of mRNA for IFN regulatory factor 7, and increased CpG methylation of its promoter region. The analysis of Tbet and GATA3 expressions revealed that cigarette smoke condensate exhibits Th1-directed immunostimulatory activity at a steady state but becomes more Th2-directed under G9.1 stimulation. In conclusion, smoking could reduce mucosal vaccine responses by decreasing pDC activation and, consequently, Th1-dominant immunity.
Subject(s)
Cigarette Smoking , Interferon-alpha , Animals , Humans , Mice , Dendritic Cells , Diphtheria Toxoid , Leukocytes, Mononuclear , RNA, Messenger/genetics , SmokingABSTRACT
Heated tobacco products have a rapid uptake, especially among young people, mostly where advertising is unregulated, as is the case in Romania. This qualitative study explores the influence of direct marketing methods of heated tobacco products on young people, their perception and behaviour towards smoking. We have carried out 19 interviews with smokers of heated tobacco products (HTPs) or/and combustible cigarettes (CCs) or non-smokers (NS), aged 18-26. Using the thematic analysis, we have identified three overarching themes: (1) people, places, and subjects of marketing, (2) engagement with risk narratives and (3) social body, family bonds, and autonomous self. Even if most of the participants have been exposed to a mix of marketing methods, they did not acknowledge the influence that marketing has on their decision to experience smoking. Young adults' decision to use heated tobacco products seems to be influenced by a cluster of reasons: overcoming the legislation gap which prohibits indoor use of combustible cigarettes but not heated tobacco products; the attractivity of the product (novelty, inviting appearance, technological appeal and price) and presumed less damaging effects on health.
Subject(s)
Marketing , Tobacco Products , Humans , Young Adult , Adolescent , Romania , Smoking , Tobacco Smoking , Tobacco Products/adverse effectsABSTRACT
BACKGROUND: Previous literature showed significant health disparities between Native American population and other populations such as Non-Hispanic White. Most existing studies for Native American Health were based on non-probability samples which suffer with selection bias. In this paper, we are the first to evaluate the effectiveness of data integration methods, including calibration and sequential mass imputation, to improve the representativeness of the Tribal Behavioral Risk Factor Surveillance System (TBRFSS) in terms of reducing the biases of the raw estimates. METHODS: We evaluated the benefits of our proposed data integration methods, including calibration and sequential mass imputation, by using the 2019 TBRFSS and the 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS). We combined the data from the 2018 and 2019 BRFSS by composite weighting. Demographic variables and general health variables were used as predictors for data integration. The following health-related variables were used for evaluation in terms of biases: Smoking status, Arthritis status, Cardiovascular Disease status, Chronic Obstructive Pulmonary Disease status, Asthma status, Cancer status, Stroke status, Diabetes status, and Health Coverage status. RESULTS: For most health-related variables, data integration methods showed smaller biases compared with unadjusted TBRFSS estimates. After calibration, the demographic and general health variables benchmarked with those for the BRFSS. CONCLUSION: Data integration procedures, including calibration and sequential mass imputation methods, hold promise for improving the representativeness of the TBRFSS.
Subject(s)
Health Status , Smoking , Humans , United States , Behavioral Risk Factor Surveillance System , Selection Bias , American Indian or Alaska Native , Population Surveillance/methodsABSTRACT
INTRODUCTION: Incorporating spirometry into low-dose CT (LDCT) screening for lung cancer may help identify people with undiagnosed chronic obstructive pulmonary disease (COPD), although the downstream impacts are not well described. METHODS: Participants attending a Lung Health Check (LHC) as part of the Yorkshire Lung Screening Trial were offered spirometry alongside LDCT screening. Results were communicated to the general practitioner (GP), and those with unexplained symptomatic airflow obstruction (AO) fulfilling agreed criteria were referred to the Leeds Community Respiratory Team (CRT) for assessment and treatment. Primary care records were reviewed to determine changes to diagnostic coding and pharmacotherapy. RESULTS: Of 2391 LHC participants undergoing prebronchodilator spirometry, 201 (8.4%) fulfilled the CRT referral criteria of which 151 were invited for further assessment. Ninety seven participants were subsequently reviewed by the CRT, 46 declined assessment and 8 had already been seen by their GP at the time of CRT contact. Overall 70 participants had postbronchodilator spirometry checked, of whom 20 (29%) did not have AO. Considering the whole cohort referred to the CRT (but excluding those without AO postbronchodilation), 59 had a new GP COPD code, 56 commenced new pharmacotherapy and 5 were underwent pulmonary rehabilitation (comprising 2.5%, 2.3% and 0.2% of the 2391 participants undergoing LHC spirometry). CONCLUSIONS: Delivering spirometry alongside lung cancer screening may facilitate earlier diagnosis of COPD. However, this study highlights the importance of confirming AO by postbronchodilator spirometry prior to diagnosing and treating patients with COPD and illustrates some downstream challenges in acting on spirometry collected during an LHC.
Subject(s)
Lung Neoplasms , Pulmonary Disease, Chronic Obstructive , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/drug therapy , Early Detection of Cancer , Smoking , Lung , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/drug therapy , Treatment Outcome , Spirometry , Mass Screening/methods , Forced Expiratory VolumeABSTRACT
OBJECTIVES: Smoking stimulants, such as methamphetamine and "crack" cocaine, can spread infections, including hepatitis C and COVID-19, and lead to injuries, particularly when individuals share or use makeshift pipes. The purpose of the study was to assess the practices of people who inhale ("smoke") stimulants to guide future clinical harm reduction efforts. METHODS: Anonymous surveys were administered to participants reporting inhalation of crack cocaine and/or methamphetamine in the past 3 months. Participants were eligible if they sought services from an outreach team staffed by a municipal syringe service program (SSP) or if they were patients at a low-threshold substance use disorder treatment program, the Massachusetts General Hospital Bridge Clinic. RESULTS: The survey was administered to 68 total participants, 30% of whom were recruited in the Massachusetts General Hospital Bridge Clinic and 70% through SSP outreach. Unsafe smoking practices were reported by 93% of participants. Among the 46% of participants surveyed who both smoked and injected stimulants, 61% of those participants stated that they injected instead of smoked stimulants because of lack of access to pipes. Amid COVID-19, 35% of participants adopted safer smoking practices. Most participants reported that they would be more likely to attend an SSP or health center if pipes were provided. CONCLUSIONS: Inhalational practices that place participants at risk of injury and illness are common. Providing safer smoking equipment may promote health and engage individuals in care.
Subject(s)
COVID-19 , Methamphetamine , Humans , Smoke , Health Promotion , Smoking , Central Nervous System AgentsABSTRACT
This study examined the temporal trend of smoking use and the prevalent differences in the use of different types of cigarettes for Korean adolescents before and during the COVID-19 pandemic. In Korea, all use of e-cigarettes, including regular cigarettes, is considered smoking. Since adolescents are susceptible to peer influences in risky behaviors including smoking, social distancing could affect the smoking behaviors of youth under these unusual circumstances during the pandemic. In this study, we analyzed the Korea Youth Risk Behavior Web-based Survey (KYRBW) data collected from 2018 to 2021 to examine the association between smoking status and other covariates during the COVID-19 pandemic. As a result, it was confirmed that the influence of second-hand smoke on the smoking rate decreased before and after COVID-19, which is interpreted as a result of the social distancing policy caused by the pandemic.
Subject(s)
COVID-19 , Electronic Nicotine Delivery Systems , Humans , Adolescent , COVID-19/epidemiology , COVID-19/prevention & control , Pandemics/prevention & control , Communicable Disease Control , Smoking/epidemiologyABSTRACT
OBJECTIVE: The aim of this study was to identify changes in smoking behaviors along with the reasons thereof, 1 year after the pandemic started. Alterations in the smoking behavior of patients were investigated in the study. PATIENTS AND METHODS: Patients admitted to our Smoking Cessation Outpatient Clinic between March 1st, 2019, and March 1st, 2020, and registered in the Tobacco Addiction Treatment Monitoring System (TUBATIS) were evaluated. Patients were called in March 2021 by the same physician who conducted the smoking cessation outpatient clinic. RESULTS: When the first year of the pandemic was over, the smoking behavior of 64 (63.4%) patients did not change. Of the 37 patients who changed their smoking behavior, eight (21.6%) increased the amount of tobacco they consumed, twelve (32.5%) decreased the amount of tobacco they consumed, eight (21.6%) quit smoking, and nine (24.3%) relapsed smoking. When the reasons for the changes in smoking behavior were examined 1 year after the pandemic started, it was determined that the primary reason for patients who increased the amount of tobacco they consumed and started smoking again was stress, and the primary cause in those who reduced the number of cigarettes and quit smoking was health concerns due to the pandemic. CONCLUSIONS: This result can be a guide for estimating smoking trends in future crises or pandemics and for making necessary plans during the pandemic period to increase the rate of smoking cessation.
Subject(s)
COVID-19 , Smoking Cessation , Humans , Pandemics , Tertiary Care Centers , Smoking , TobaccoABSTRACT
OBJECTIVES: COVID-19 and the implementation of lockdowns have impacted daily lives worldwide. This systematic review and meta-analysis aimed to investigate the impact of lockdowns on the smoking and vaping behaviours of adults during the pandemic. STUDY DESIGN: This was a systematic review and meta-analysis. METHODS: A systematic literature search was conducted up to 28 April 2022 in the following databases: PubMed, Embase and Web of Science. RESULTS: In total, 77 studies met the inclusion criteria for this review. In 34 studies, an increase in smoking behaviour was reported for the majority of participants; however, in 21 and 18 studies, 'no change' and 'decrease' in smoking were the predominant responses, respectively. The results from the meta-analysis, which examined the change in the number of cigarettes smoked per day, showed no difference between the pre- and post-lockdown periods: 0.81 weighted mean difference (95% confidence interval, -0.59 to 2.21). Regarding vaping, three of seven studies reported an increase in smoking for the majority of participants, whereas 'no change' and 'decrease' were the predominant answers in the other four studies. CONCLUSIONS: The results show that lockdowns led most participants to increase smoking/vaping, whereas a decrease or cessation of smoking/vaping was only reported in the minority of participants. Attention should be given to the non-communicable diseases that could arise as a result of the increase in smoking/vaping during lockdowns, and further research in this area is needed.
Subject(s)
COVID-19 , Electronic Nicotine Delivery Systems , Smoking Cessation , Vaping , Adult , Humans , Vaping/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control , Smoking/epidemiologyABSTRACT
OBJECTIVES: Smoking and chronic obstructive pulmonary disease (COPD) are risk factors for severe COVID-19. However, limited literature exists on the effect of COPD and smoking on COVID-19 outcomes. This study examined the impact of smoking exposure in pack-years (PY) and COPD on COVID-19 outcomes among smokers in Japan. METHODS: The study included 1266 smokers enrolled by the Japan COVID-19 task force between February 2020 and December 2021. PY and COPD status was self-reported by patients. Patients were classified into the non-COPD (n = 1151) and COPD (n = 115) groups; the non-COPD group was further classified into <10 PY (n = 293), 10-30 PY (n = 497), and >30 PY (n = 361). The study outcome was the need for invasive mechanical ventilation (IMV). RESULTS: The incidence of IMV increased with increasing PY and was highest in the COPD group (<10 PY = 7.8%, 10-30 PY = 12.3%, >30 PY = 15.2%, COPD = 26.1%; P <0.001). A significant association was found for IMV requirement in the >30 PY and COPD groups through univariate (odds ratio [OR]: >30 PY = 2.11, COPD = 4.14) and multivariate (OR: >30 PY = 2.38; COPD = 7.94) analyses. Increasing PY number was also associated with increased IMV requirement in patients aged <65 years. CONCLUSION: Cumulative smoking exposure was positively associated with COVID-19 outcomes in smokers.
Subject(s)
COVID-19 , Pulmonary Disease, Chronic Obstructive , Humans , Japan , COVID-19/complications , Smoking/adverse effects , Risk FactorsABSTRACT
COVID-19 has adversely impacted the health behaviors of billions of people across the globe, modifying their former trends in health and lifestyle. In this paper, we compare the psychosocial language markers associated with diet, physical activity, substance use, and smoking before and after the onset of COVID-19 pandemic. We leverage the popular social media platform Reddit to analyze 1 million posts between January 6, 2019, to January 5, 2021, from 22 different communities (i.e., subreddits) that belong to four broader groups-diet, physical activity, substance use, and smoking. We identified that before the COVID-19 pandemic, posts involved sharing information about vacation, international travel, work, family, consumption of illicit substances, vaping, and alcohol, whereas during the pandemic, posts contained emotional content associated with quarantine, withdrawal symptoms, anxiety, attempts to quit smoking, cravings, weight loss, and physical fitness. Prevalent topic analysis showed that the pandemic was associated with discussions about nutrition, physical fitness, and outdoor activities such as backpacking and biking, suggesting users' focus shifted toward their physical health during the pandemic. Starting from the week of March 23, 2020, when several stay-at-home policies were enacted, users wrote more about coping with stress and anxiety, alcohol misuse and abuse, and harm-reduction strategies like switching from hard liquor to beer/wine after people were socially isolated. In addition, posts related to use of substances such as benzodiazepines (valium, xanax, clonazepam), nootropics (kratom, phenibut), and opioids peaked around March 23, 2020, followed by a decline. Of note, unlike the general decline observed, the volume of posts related to alternatives to heroin (e.g., fentanyl) increased during the COVID-19 pandemic. Posts about quitting smoking gained momentum after late March 2020, and there was a sharp decline in posts about craving to smoke. This study highlights the significance of studying social media discussions on platforms like Reddit which are a rich ecological source of human experiences and provide insights to inform targeted messaging and mitigation strategies, and further complement ongoing traditional primary data collection methods.