The Association between Exposure to Second-Hand Smoke and Disease in the Chinese Population: A Systematic Review and Meta-Analysis

Objective To analyze the association between exposure to second-hand smoke(SHS) and 23 diseases,categorized into four classifications, among the Chinese population.Methods We searched the literature up to June 30, 2021, and eligible studies were identified according to the PECOS format: Participants and Competitors(Chinese population), Exposure(SHS),Outcomes(Disease or Death), and Study design(Case-control or Cohort).Results In total, 53 studies were selected. The odds ratio(OR) for all types of cancer was 1.79(1.56–2.05), and for individual cancers was 1.92(1.42–2.59) for lung cancer, 1.57(1.40–1.76) for breast cancer, 1.52(1.12–2.05) for bladder cancer, and 1.37(1.08–1.73) for liver cancer. The OR for circulatory system diseases was 1.92(1.29–2.85), with a value of 2.29(1.26–4.159) for stroke. The OR of respiratory system diseases was 1.76(1.13–2.74), with a value of 1.82(1.07–3.11) for childhood asthma. The original ORs were also shown for other diseases. Subgroup analyses were performed for lung and breast cancer. The ORs varied according to time period and were significant during exposure in the household;For lung cancer, the OR was significant in women.Conclusion The effect of SHS exposure in China was similar to that in Western countries, but its definition and characterization require further clarification. Studies on the association between SHS exposure and certain diseases with high incidence rates are insufficient.

Does Smoking Weaken the Immune System: A Narrative Review

Smoking has a complex impact on the immune system, affecting both innate and adaptive immunity. It can exacerbate pathogenic immune responses and attenuate defensive immunity, leading to a higher susceptibility to infections and certain diseases. The chemicals in cigarette smoke, such as nicotine and carbon monoxide, can alter immune cell functions and inflammatory responses. Smoking can also have long-term effects on the immune system, with some changes persisting even after quitting [1]. According to a Penn Medicine Physician, the Medical Oncologist Dr. David Porter, “People who are smokers tend to get sicker from infections”, “It may be that smoking impacts the immune system’s ability to respond appropriately”. Thus, such individuals within smoking exposure history might be considered as immunocompromised due to the altered and weakened immune system. Cigarette smoking is a prevalent habit with far-reaching health implications. Among its many adverse effects, smoking significantly alters the immune system’s functionality [1].

Inhibition of the NF-κB Signaling Pathway Improves Cigarette Mainstream Smoke-Induced Lung Injury and Gut Microbiota Disturbance

Currently,cigarette smoke(CS)remains a major contributor to disease morbidity and mortality.CS can be divided into cigarette mainstream smoke(CMS)and side-stream smoke,depending on where it is produced by burning tobacco^([1]).CMS is inhaled by smokers from the filter end during cigarette combustion and is strongly associated with the development of several diseases^([2-4]).

Exploring the Impact of Alcohol Consumption and Smoking on Primary Open Angle Glaucoma: A Mendelian Randomization Study

Objective: Utilizing Mendelian Randomization, this study employs Single Nucleotide Polymorphisms (SNPs) as instrumental variables to explore the causal relationships between bibulosity, smoking, and Primary Open Angle Glaucoma (POAG). Methods: GWAS data for bibulosity, smoking, and POAG were obtained from the Social Science Genetic Association Consortium website and the IEU OpenGWAS Project website, respectively. Using a P-value threshold of −8, a linkage disequilibrium coefficient (r2) of 0.001, and a linkage disequilibrium region width of 10,000 kb, the data were aggregated, resulting in 6 SNPs for bibulosity and 253 SNPs for smoking. Three regression models, MR-Egger, Weighted Median Estimator (WME), and Random-Effects Inverse-Variance Weighted (IVW) were applied to analyze the causal impact of bibulosity and smoking on POAG. Results: The GWAS data for alcohol consumption and smoking were derived from European populations, while the GWAS data for Primary Open-Angle Glaucoma (POAG) were sourced from East Asian populations, with no gender restrictions. Analysis using three different regression models revealed that neither excessive alcohol consumption nor smoking significantly increased the risk of developing POAG. Specifically, the odds ratios with 95% confidence intervals for the alcohol consumption group were 0.854 (0.597 - 1.221) in MR-Egger regression, 0.922 (0.691 - 1.231) in WME regression, and 0.944 (0.711 - 1.252) in IVW regression. For the smoking group, the odds ratios were 1.146 (0.546 - 2.406) in MR-Egger regression, 0.850 (0.653 - 1.111) in WME regression, and 0.939 (0.780 - 1.131) in IVW regression. Given the significant heterogeneity in the SNPs associated with smoking, the focus was primarily on the results from the IVW regression model. Conclusion: Alcohol consumption and smoking are not significant risk factors for the development of POAG.

Small-scale fire tests in the underwater tunnel section model with new sidewall smoke extraction

The Shenzhen–Zhongshan Bridge is a 24‐km‐long bridge and tunnel system,including a 6.8-km-long super cross section subsea tunnel.To solve the smoke exhaust problem of a super large cross-section subsea tunnel,the tunnel has a new smoke exhaust system that combines a horizontal smoke exhaust cross section at the top and sidewall smoke exhaust holes.In order to evaluate the potential fire hazards of this type of tunnel,a 1:30 tunnel model was established and 140 smallscale experiments on underwater tunnel fires were conducted.By changing the fire power,fire location,and fan operation mode,different scenarios of submarine immersed tunnel fire were simulated and the related key parameters such as fire smoke diffusion behavior and smoke temperature distribution were studied.On this basis,the optimal smoke control strategy was proposed for different fire scenarios.The research results indicate that the new smoke exhaust system can fully utilize the smoke flow characteristics,significantly improve smoke exhaust efficiency,and increase available evacuation time,thus further enhancing the fire safety of super large cross-section subsea tunnels.

An Improved YOLOv5s-Based Smoke Detection System for Outdoor Parking Lots

In the rapidly evolving urban landscape,outdoor parking lots have become an indispensable part of the city’s transportation system.The growth of parking lots has raised the likelihood of spontaneous vehicle combus-tion,a significant safety hazard,making smoke detection an essential preventative step.However,the complex environment of outdoor parking lots presents additional challenges for smoke detection,which necessitates the development of more advanced and reliable smoke detection technologies.This paper addresses this concern and presents a novel smoke detection technique designed for the demanding environment of outdoor parking lots.First,we develop a novel dataset to fill the gap,as there is a lack of publicly available data.This dataset encompasses a wide range of smoke and fire scenarios,enhanced with data augmentation to ensure robustness against diverse outdoor conditions.Second,we utilize an optimized YOLOv5s model,integrated with the Squeeze-and-Excitation Network(SENet)attention mechanism,to significantly improve detection accuracy while maintaining real-time processing capabilities.Third,this paper implements an outdoor smoke detection system that is capable of accurately localizing and alerting in real time,enhancing the effectiveness and reliability of emergency response.Experiments show that the system has a high accuracy in terms of detecting smoke incidents in outdoor scenarios.

The Prevalence of Smoking in Caribbean Towns and Correlation with Disease States: A Survey

Background: Smoking continues to be one of the most popular recreational practices despite its known harmful effects. Aim: The purpose of this survey was to assess the prevalence of smoking in the Caribbean and the correlation of smoking with the disease states of high blood pressure, diabetes and high cholesterol whose risk is known to be higher among smokers. Findings: Our study found a smoking prevalence of 22% in the population, similar to that reported by the World Health Organization (20%) and a positive correlation between smoking and diabetes. Conclusion: The survey shows that smoking numbers within the population are still high and that smoking increases the risk of certain disease states within smokers. Aggressive global efforts to reduce smoking should continue so as to minimize the negative impact of smoking on health.

U-Net Inspired Deep Neural Network-Based Smoke Plume Detection in Satellite Images

Industrial activities, through the human-induced release of Green House Gas (GHG) emissions, have beenidentified as the primary cause of global warming. Accurate and quantitative monitoring of these emissions isessential for a comprehensive understanding of their impact on the Earth’s climate and for effectively enforcingemission regulations at a large scale. This work examines the feasibility of detecting and quantifying industrialsmoke plumes using freely accessible geo-satellite imagery. The existing systemhas so many lagging factors such aslimitations in accuracy, robustness, and efficiency and these factors hinder the effectiveness in supporting timelyresponse to industrial fires. In this work, the utilization of grayscale images is done instead of traditional colorimages for smoke plume detection. The dataset was trained through a ResNet-50 model for classification and aU-Net model for segmentation. The dataset consists of images gathered by European Space Agency’s Sentinel-2 satellite constellation from a selection of industrial sites. The acquired images predominantly capture scenesof industrial locations, some of which exhibit active smoke plume emissions. The performance of the abovementionedtechniques and models is represented by their accuracy and IOU (Intersection-over-Union) metric.The images are first trained on the basic RGB images where their respective classification using the ResNet-50model results in an accuracy of 94.4% and segmentation using the U-Net Model with an IOU metric of 0.5 andaccuracy of 94% which leads to the detection of exact patches where the smoke plume has occurred. This work hastrained the classification model on grayscale images achieving a good increase in accuracy of 96.4%.

Net Effect of Short-Term Smoking Cessation on Mental Health Changes:Inverse Probability of Treatment Weighting and Difference-in-Differences Method

Background:In response to the need for research clearly demonstrating the net effect of smoking cessation on mental health status,considering the causal relationship between smoking cessation and changes in mental health status,this study was undertaken.Thus,this study aimed to examine the net effect of short-term smoking cessation on five specific mental health metrics and the overall mental health status score.Methods:We used data from the first wave of the Korean Health Panel(KHP)Survey(2011–2013,2016–2018)and focused on men aged 19 years and older,to explore the effects of smoking cessation.We compared mental health status before and after cessation among current non-smokers who had quit smoking and continuous smokers.We ensured homogeneity between the two groups via inverse probability of treatment weighting(IPTW)and employed a difference-in-differences(DID)analysis to assess changes in mental health status.This study controlled for factors that could influence mental health and explored the net effect of short-term smoking cessation through difference-in-differences model using multiple regression analysis.Results:The results showed that short-term smoking cessation significantly alleviated mental and physical stress(p<0.1),reduced experiences of frustration(p<0.01),and improved the overall mental health status score(p<0.1).Conclusion:Thus,these results highlight a meaningful link between positive health behavior changes,such as smoking cessation,and enhanced mental health.Moreover,the application of temporal variables further improved the understanding of the causal relationship between health behaviors and mental health.

Smoking cessation prior to elective total joint arthroplasty results in sustained abstinence postoperatively

BACKGROUND Tobacco use is a well-documented modifiable risk factor for perioperative complications.AIM To determine the tobacco abstinence rates of patients who made cessation efforts prior to a total joint arthroplasty(TJA)procedure.METHODS A retrospective evaluation was performed on 88 self-reported tobacco users who underwent TJA between 2014-2022 and had tobacco cessation dates within 3 mo of surgery.Eligible patients were contacted via phone survey to understand their tobacco use pattern,and patient reported outcomes.A total of 37 TJA patients participated.RESULTS Our cohort was on average 61-years-old,60%(n=22)women,with an average body mass index of 30 kg/m^(2).The average follow-up time was 2.9±1.9 years.A total of 73.0%(n=27)of patients endorsed complete abstinence from tobacco use prior to surgery.Various cessation methods were used perioperatively including prescription therapy(13.5%),over the counter nicotine replacement(18.9%),cessation programs(5.4%).At final follow up,43.2%(n=16)of prior tobacco smokers reported complete abstinence.Patients who were able to maintain cessation postoperatively had improved Patient-Reported Outcomes Measurement Information System(PROMIS)-10 mental health scores(49 vs 58;P=0.01),and hip dysfunction and osteoarthritis outcome score for joint replacement(HOOS.JR)scores(63 vs 82;P=0.02).No patients in this cohort had a prosthetic joint infection or required revision surgery.CONCLUSION We report a tobacco cessation rate of 43.2%in patients undergoing elective TJA nearly 3 years postoperatively.Patients undergoing TJA who were able to remain abstinent had improved PROMIS-10 mental health scores and HOOS.JR scores.The perioperative period provides clinicians a unique opportunity to assist active tobacco smokers with cessation efforts and improve postoperative outcomes.

Effect of smoking on the risk of gastrointestinal cancer after cholecystectomy: A national population-based cohort study

BACKGROUND The role of smoking in the incidence of colorectal cancer(CRC)or gastric cancer(GC)in populations undergoing cholecystectomy has not been investigated.AIM To evaluate the effect of smoking on CRC or GC development in cholecystectomy patients.METHODS A total of 174874 patients who underwent cholecystectomy between January 1,2010 and December 31,2017 were identified using the Korean National Health Insurance Service claims database.These patients were matched 1:1 with mem-bers of a healthy population according to age and sex.CRC or GC risk after cholecystectomy and the association between smoking and CRC or GC risk in cholecystectomy patients were evaluated using adjusted hazard ratios(HRs)and 95%CIs.RESULTS The risks of CRC(adjusted HR:1.15;95%CI:1.06-1.25;P=0.0013)and GC(adjusted HR:1.11;95%CI:1.01-1.22;P=0.0027)were significantly higher in cholecystectomy patients.In the population who underwent cholecystectomy,both CRC and GC risk were higher in those who had smoked compared to those who had never smoked.For both cancers,the risk tended to increase in the order of non-smokers,ex-smokers,and current smokers.In addition,a positive correlation was observed between the amount of smoking and the risks of both CRC and GC.CONCLUSION Careful follow-up and screening should be performed,focusing on the increased risk of gastrointestinal cancer in the cholecystectomy group,particularly considering the individual smoking habits.

Persuasive Technology for the Future of Smoking Cessation*

This paper explores the integration of persuasive technology into smoking cessation efforts through the development and evaluation of a mobile app, “No-Smoke.” Leveraging compelling features like social support, tracking, planning, and motivation, the app aims to augment user engagement and support the process of quitting smoking. The efficacy of these features has been substantiated through both automated testing and user feedback, highlighting their potential to enhance awareness, motivation, and behavior modification. Despite notable successes, limitations, including a limited user base and uncertainties regarding long-term efficacy, have been acknowledged, stemming from the inherent complexities of smoking cessation. Nevertheless, based on user experiences and feedback, “No-Smoke” represents a promising advancement in the use of technology for public health interventions, particularly in the realm of smoking cessation. To address existing challenges, future research is recommended to encompass a comprehensive, long-term study involving a larger and more diverse user base. Additionally, further investigation should focus on personalization enhancements and the integration of machine learning algorithms to better understand and respond to user behavior.

Unveiling the dynamic role of innate and adaptive immune cells in COPD pathogenesis induced by cigarette smoke

Chronic obstructive pulmonary disease(COPD)is a multifaceted syndrome characterized by a dysregulated inflammatory cascade within the respiratory system,primarily triggered by exposure to harmful particles and gases,notably from cigarette smoke.This inflammatory response is orchestrated by innate immune cells like macrophages and epithelial cells,which recognize danger signals released from damaged cells.Prolonged inflammation prompts an adaptive immune reaction mediated by dendritic cells,culminating in the formation of lymphoid follicles and involving a complex interplay of T and B cells,as well as cytotoxic activity.Additionally,both viral and bacterial infections exacerbate COPD by further igniting inflammatory pathways,perpetuating the chronic inflammatory state.This comprehensive review encapsulates the intricate interplay between innate and adaptive immunity in COPD,with a particular focus on the role of cigarette smoke in its pathogenesis and potential therapeutic targets.

Pursuing a smoke-free generation

The United Kingdom may soon become a world leader in forging a smoke-free generation.Last month,the country passed a bill that bans the sale of cigarettes to anyone born in 2009 or later.The prime minister claims the policy will"phase out smoking in young people almost completely as early as 2040."A final vote by Parliament is expected next month.Tobacco claims 8 million lives every year,and could claim a billion lives over this century-mostly in low-and middle-income countries.For every person that dies,at least 30 more suffer from smokingrelated chronic disease.The benefits of a tobacco-free society would be transformational.

Impact of Smoke-Free Legislation on Acute Myocardial Infarction and Subtypes of Stroke Incidence in Shenzhen,China,2012-2016:An Interrupted Time Series Analysis

Objective This study assesses the impact of smoke-free legislation on the incidence rate for acute myocardial infarction(AMI)and stroke in Shenzhen.Methods Data on ischemic(n=72,945)and hemorrhagic(n=18,659)stroke and AMI(n=17,431)incidence covering about 12 million people in Shenzhen from 2012 to 2016 were used.Immediate and gradual changes in incidence rates were analyzed using segmented Poisson regression.Results Following the smoke-free legislation,a 9%(95%CI:3%-15%)immediate reduction was observed in AMI incidence,especially in men(8%,95%CI:1%-14%)and in those aged 65 years and older(17%,95%CI:9%-25%).The gradual annual benefits were observed only in hemorrhagic and ischemic stroke incidence,with a 7%(95%CI:2%-11%)and 6%(95%CI:4%-8%)decrease per year,respectively.This health effect extended gradually to the 50-64 age group.In addition,neither the immediate nor gradual decrease in stroke and AMI incidence rates did not show statistical significance among the 35-49 age group(P>0.05).Conclusion Smoke-free legislation was enforced well in Shenzhen,which would generate good experiences for other cities to enact and enforce smoke-free laws.This study also provided more evidence of the health benefits of smoke-free laws on stroke and AMI.

Smoking Cessation with E-Cigarettes in Smokers with a Documented History of Depression and Recurring Relapses

The association between nicotine dependence and affective disorders, particularly major depressive disorder (MDD), is well known with high prevalence rates being reported for smokers. The reason for this association is not clear, but, it has been argued that smoking may help individuals to cope with stress or medicate depressed mood. Smoking cessation programs are useful in helping smokers to quit, but smoking is a very difficult addiction to break, especially for people suffering from depression, and the need for novel and effective approaches to smoking cessation interventions for this special population is unquestionable. The e-cigarette is a battery-powered electronic nicotine delivery device (ENDD), which may help smokers to remain abstinent during their quit attempt. Here, we report for the first time objective measures of smoking cessation in two heavy smokers, suffering from depression, who experimented the e-cigarette.

Acute effect of smoking on gallbladder emptying and refilling in chronic smokers and nonsmokers: A sonographic study

AIM: To ultrasonographicaly evaluate the acute effects of smoking on gallbladder contraction and refilling in chronic smokers and nonsmokers.METHODS: Fifteen chronic smokers (21-30 years old) and fifteen nonsmokers (21-35 years old) participated in this study. Chronic smokers were selected among the volunteers who had been smoking for at least 5 years and 10 cigarettes per day (mean 17.5/d). Examinations were performed in two separate days. In the fi rst day, basal gallbladder (GB) volumes of volunteers were measured after 8-h fasting. After the examinations, participants had a meal containing at least 30-40 gram fat. Gallbladder volume was assessed at 5, 15, 30, 60, 120 and 180 min after the meal. In the second day, participants smoked 2 cigarettes after 8-h fasting. Then, they had the same meal, and gallbladder measurements were repeated at the same time points. Same procedures were applied to both groups. RESULTS: The mean starving GB volumes were 23.3 ± 3.3 mL in the fi rst day, 21.9 ± 3.0 mL in the second day in nonsmoker group and 18.3 ± 3.0 mL in the fi rst day, 19.5 ± 2.8 mL in second day in smoker group. There was no significant difference between starving GB volumes. We did not fi nd any signifi cant difference between the GB volumes measured at 5, 15, 30, 60, 120 and 180 min in the fi rst and second days in nonsmoker group. In smokers, post cigarette GB volume was found significantly higher at 5, 15 and 30 min which corresponded to GB contraction phase (P < 0.05). Control GB volume measurements were not signifi cantly different between the two groups. Post-smoking GB volumes were also not signifi cantly different between the two groups.CONCLUSION: Smoking prolongs the maximal GB emptying time both in smokers and in nonsmokers though it is not signifi cant. It delays GB contraction inchronic smokers and causes a signifi cant decrease in GB emptying volume. Smoking causes no signifi cant delay in GB refi lling in both smokers and nonsmokers. These effects of smoking observed in acute phase result in bile stasis in GB. Bile stasis is the underlying cause of most GB disorders in chronic process.

An Analysis on Failure Reasons of Quit Smoking among Smokers in Beijing Communities——Based on a Cross-Sectional Study

With the implementation of tobacco control policies and increasing publicity year by year,smokers have acquired more information and knowledge through various channels about the harmful effects of smoking.As a result,more smokers have developed a desire to quit smoking and have begun to try to quit.

Lung Cancer Risk Attributable to Active Smoking in China:A Systematic Review and Meta-Analysis

Objective No consensus exists on the relative risk(RR)of lung cancer(LC)attributable to active smoking in China.This study aimed to evaluate the unified RR of LC attributable to active smoking among the Chinese population.Methods A systematic literature search of seven databases was conducted to identify studies reporting active smoking among smokers versus nonsmokers in China.Primary articles on LC providing risk estimates with their 95%confidence intervals(CIs)for“ever”“former”or“current”smokers from China were selected.Meta-analysis was used to estimate the pooled RR of active smoking.Results Forty-four unique studies were included.Compared with that of nonsmokers,the pooled RR(95%CI)for“ever”“former”and“current”smokers were 3.26(2.79–3.82),2.95(1.71–5.08),and 5.16(2.58–10.34)among men,3.18(2.78–3.63),2.70(2.08–3.51),and 4.27(3.61–5.06)among women,and2.71(2.12–3.46),2.66(2.45–2.88),and 4.21(3.25–5.45)in both sexes combined,respectively.Conclusion The RR of LC has remained relatively stable(range,2–6)over the past four decades in China.Early quitting of smoking could reduce the RR to some extent;however,completely refraining from smoking is the best way to avoid its adverse effects.

The Impact of Electronic Cigarettes (e-Cigs) Smoking Habit on Periodontal Status and Salivary pH among Some Passive e-Cigs Smokers Referred to the College of Dentistry Clinics, King Khalid University

Background: Electronic cigarette (e-cigs) smoking is substitutional to traditional cigarette smoking to reduce the dangerous combustion of products. Moreover, passive smoking is involuntarily tobacco smoking due to the exposure to cigarette or tobacco smoke among non-smokers and due to there being little knowledge about the impact of passive e-cigs smoking on periodontal status and salivary pH. Therefore, the present study aimed to evaluate the effect of e-cigs smoking habit on periodontal tissue and salivary pH among some passive e-cigs smokers referred to the college of dentistry clinics, King Khalid University. Material and Methods: Ninety male participants who were referred to the college of dentistry clinics at King Khalid University were included in the study. Age, gender, e-cigs smoking, and general health were recorded. The participants were divided into three equal groups (n = 30) as follows: Group I (Non-passive e-cigs smokers and non-smokers) as the control group, Group II (e-cigs users), and Group III (Passive e-cigs smokers). Salivary pH, plaque control record (PCR), gingival bleeding index (GBI), clinical attachment loss (CAL), percentage of radiographic bone loss (% RBL), periodontal pocket depth (PPD), more than 5 missing teeth due to periodontal diseases (>5 MTDP), tooth mobility (TM), furcation involvement (FI), Bite collapse (BC), and less than 20 remaining teeth (10 Opposing pairs) (L20RT) as well as HbA1c were recorded. ANOVA test was used to the comparison between Groups I, II, and III in the participants’ ages and periodontitis staging clinical findings. The mean of participants’ age groups, the mean of salivary pH values of study groups, and the periodontitis staging complexity and HbA1c were compared between groups with the ANOVA test, Tukey’s test, and the chi-square test. P-value was recorded, and less than 0.5 was considered a statistically significant difference (p Results: The e-cigs users group revealed higher means of PCR, GBI %RBL values, and the participants percentages of >5 MTDP, TM, FI, L20RT, and diabetes mellitus (DM) among participants compared to the passive e-cigs smokers group and control group except for the participants percentage of BC among the participants, which was higher among the control group participants. The differences were not significant in PCR, GBI, %RBL and DM (p > 0.5) and significant in >5 MTDP, TM, FI, L20RT and smoking (p 7% values compared to the e-cigs users group and control group participants. The differences were not significant in CAL and PPD (p > 0.5) and significant in the participants percentages of salivary pH values (p Conclusion: The e-cigs smoking habit was the cause of an increase in periodontal disease severity among the electronic smokers rather than passive e-cigs smokers, although the salivary pH was higher in the latter.