Predictive Factors for the Development of Gallbladder Necrosis.

Introduction Acute cholecystitis is a common complication of gallstone disease. Likewise, gallbladder necrosis is a complication of cholecystitis associated with higher risks of morbidity and mortality. Identification of risk factors which portend to gallbladder necrosis is key in prioritizing the management of higher-risk patients. This study aimed to identify such factors that predict the development of gallbladder necrosis. Method A retrospective review of all patients undergoing emergency cholecystectomy in a tertiary hospital over a two-year period was performed. Gallbladder necrosis was diagnosed on histopathological examination of operative specimens. Multivariable logistic regression was performed to determine risk factors for gallbladder necrosis. Results A total of 163 patients underwent acute cholecystectomy and 43 (26%) had proven gallbladder necrosis. Multivariable analysis demonstrated that elevated white cell count (WCC) (OR 1.122, 95%CI 1.031-1.221, p=0.007), elevated C-reactive protein (CRP) (OR 1.004, 95%CI 1.001-1.008, p=0.022) and positive smoking status (OR 5.724, 95%CI 1.323-24.754, p=0.020) were independently predictive of gallbladder necrosis. Notably, advancing age, elevated BMI, diabetes mellitus or American Society of Anesthesiologists (ASA) grade were not found to be associated with developing necrosis. Conclusion Patients at risk of gallbladder necrosis include those with higher WCC, CRP, and active smokers. Given the increased potential complications, these risk factors should be identified early in the management of those admitted with gallstone disease to ensure such patients receive aggressive medical therapy alongside timely and guided surgical intervention.

Smoking Status and Premature Death Among Japanese Rural Community-Dwelling Persons.

Background: Smoking status is known to be an independent and significant predictor of health outcomes related to aging and plays a crucial role in overall mortality rates. This cohort study investigated the relationship between smoking status and survival outcomes over follow-up periods of 9 and 21 years. Methods: The sample consisted of 3526 participants with a mean age of 64 ± 12 years, 44.1% of whom were male. The median follow-up duration was 6315 days, with an interquartile range of 3441 to 7727 days. Smoking status [i.e., Brinkmann index (BI)] was calculated by multiplying the number of years smoked by the number of cigarettes smoked daily. Based on this, participants were categorized into non-smokers, former smokers, and current smokers. The data were analyzed using Cox regression, employing age as the time variable and accounting for various risk factors. Results: A total of 1111 participants (49.2%) were confirmed to have died. Among these, 564 were male (36.2% of all male participants), and 547 were female (27.8% of all female participants). The multivariate-adjusted odds ratio (95% confidence interval) for all-cause mortality compared with never-smokers was 1.51 (1.17-1.96) for former smokers with BI > 800, 1.61 (1.20-2.17) for current smokers with BI of 400-799 and 1.62 (95% CI, 1.24-2.10) with BI of ≥800 (P for trend <0.001). Participants who died within three years of follow-up were excluded to avoid the possibility of reverse causation, but the results were essentially unchanged. Conclusion: We found that the BI is a valid predictor of future mortality risk and that BI 800 for former smokers and BI 400 for current smokers were useful cutoff values. Efforts to control smoking should focus not only on current smokers but also on former smokers to reduce the risk of premature death associated with smoking.

Association between smoking status and the prognosis of brain metastasis in patients with non-small cell lung cancer.

Objective: This study aimed to explore the relationship between smoking status and the interval to brain metastasis in patients with non-small cell lung cancer (NSCLC) and its impact on survival time after brain metastasis. Methods: Data were collected from patients with NSCLC with brain metastases who were treated at our centre between January 2005 and December 2017. Clinical indices such as clinicopathological features and smoking status were recorded, and patients were followed up until 1 September 2022. Based on our inclusion and exclusion criteria, 461 patients were analysed and matched using 1:1 propensity score matching. Three balanced groups were formed: non-smoking (n = 113), smoking cessation (n = 113), and smoking (n = 113). The interval to brain metastasis and overall survival were compared between the groups. Results: There was a statistically significant difference in the interval to brain metastasis between the non-smoking and smoking cessation groups (p = 0.001), as well as between the non-smoking and smoking groups (p < 0.001). However, the difference between the smoking cessation and smoking groups was not statistically significant (p = 0.106). Multivariate and univariate analyses identified smoking status, clinical stage, lung cancer surgery, chemotherapy, and chest radiotherapy as independent predictors of the interval to brain metastasis. Additionally, the multivariate analysis showed that smoking status, driver gene mutations, and chest radiotherapy independently influenced survival after brain metastasis. Conclusion: Smoking status in patients with NSCLC affects the interval to brain metastasis and survival after brain metastasis.

Correcting misperceptions about very low nicotine cigarettes for cigarette-only smokers, dual/poly smokers, other tobacco users, and non-tobacco users.

Background: The U.S. Food and Drug Administration authorized the sale and marketing of two very low nicotine cigarettes (VLNC) as modified risk tobacco products. The misperception that VLNC are healthier than regular cigarettes is common. This study explores effective message strategies to inform the public about health risks associated with VLNC use, encourage cigarette smokers to try VLNC, and prevent other tobacco users and non-users from product initiation. Methods: Following the Reasoned Action approach, a VLNC educational message was developed based on the salient beliefs associated with behavioral intention. The message was tested in an online survey conducted in 2018, where 410 participants were randomly assigned to one of the two message conditions (no-message, VLNC message). Message effects were assessed across four tobacco-use groups (non-tobacco users, cigarette-only smokers, cigarette dual/poly smokers, other tobacco users). Results: Compared to the no-message control, the VLNC message condition showed lower nicotine risk perception for all participants, lower misbelief in VLNC safety for non-users and cigarette-only smokers, higher belief in VLNC carcinogenicity for other tobacco users, stronger belief in second-hand smoke harm for cigarette dual/poly smokers and other tobacco users, and higher VLNC intention for cigarette-only smokers. Conclusions: Different messages are needed for different types of tobacco users. Both cigarette smokers and other tobacco users could benefit from messages that acknowledge the non-addictiveness but emphasize the health risks of VLNC. Regulators could consider making physical harm statements a requirement for VLNC packaging and marketing. New strategies need to be explored to inform cigarette dual/poly smokers.

Hidradenitis suppurativa and its association with obesity, smoking, and diabetes mellitus: A systematic review and meta-analysis.

Our meta-analysis aimed to quantify the association between Hidradenitis suppurativa (HS) and several risk factors including obesity, smoking, and type 2 diabetes mellitus (T2DM). We searched PubMed, Scopus, Embase, Web of Science, and cumulative index to nursing and allied health literature for articles reporting either the odds ratio (OR) or the numbers of HS cases associated with obesity, smoking, or T2DM, and including HS negative controls. Risk of bias was assessed against the risk of bias in non-randomized studies of interventions tool. Data synthesis was done using the random effects model with heterogeneity being evaluated with I2 statistic. Twenty-three studies with a total of 29 562 087 patients (average age of 36.6 years) were included. Ten studies relied on country-level data, while six studies collected their data from HS clinics. The analysis showed a significant association between HS and female sex (OR 2.34, 95% CI 1.89-2.90, I2 = 98.6%), DM (OR 2.78, 95% CI 2.23-3.47, I2 = 98.9%), obesity (OR 2.48, 95% CI 1.64-3.74, I2 = 99.9%), and smoking (OR 3.10 95% CI 2.60-3.69, I2 = 97.1%). Our meta-analysis highlights HS links to sex, DM, obesity, and smoking, with emphasis on holistic management approach. Further research is needed on molecular mechanisms and additional risk factors for improved patient care.

Association between smoking status and subclinical coronary atherosclerosis in asymptomatic individuals.

Objectives: In this study, we sought to evaluate the association between smoking status and subclinical coronary atherosclerosis, as detected by coronary computed tomography angiography (CCTA), in asymptomatic individuals. Methods: We retrospectively analyzed 9,285 asymptomatic participants (mean age, 53.7±8.0 years; 6,017 [64.8%] male) with no history of coronary artery disease (CAD) who had undergone self-referred CCTA. Of these participants, 4,333 (46.7%) were considered never smokers, 2,885 (31.1%) former smokers, and 2,067 (22.3%) current smokers. We assessed the degree and characteristics of subclinical coronary atherosclerosis using CCTA, with obstructive CAD defined as a diameter stenosis of at least 50%. Results: Compared with never-smokers, former smokers exhibited no significant differences in the probabilities of obstructive CAD, any coronary plaque, calcified plaque, or mixed plaque, as determined using adjusted odds ratios (aORs; p>0.05 for all). However, the risk of non-calcified plaque was significantly higher in former smokers (aOR, 1.34; 95% confidence interval [CI], 1.00 to 1.78; p=0.048). Current smokers had significantly higher rates of obstructive CAD (aOR, 1.46; 95% CI, 1.10 to 1.96; p=0.010), any coronary plaque (aOR, 1.41; 95% CI, 1.20 to 1.65; p<0.001), calcified plaque (aOR, 1.32; 95% CI, 1.13 to 1.55; p=0.001), non-calcified plaque (aOR, 1.72; 95% CI, 1.28 to 2.32; p<0.001), and mixed plaque (aOR, 2.00; 95% CI, 1.39 to 2.86; p<0.001) compared to never smokers. Conclusion: This cross-sectional study revealed a significant association between current smoking and subclinical coronary atherosclerosis, as detected on CCTA. Additionally, former smoking demonstrated an association with non-calcified plaque, indicating elevated cardiovascular risk.

Diet quality as assessed by the healthy eating index-2020 among different smoking status: an analysis of national health and nutrition examination survey (NHANES) data from 2005 to 2018.

BACKGROUND: Combining smoking with poor eating habits significantly elevates the risk of chronic illnesses and early death. Understanding of how dietary quality shifts post-smoking cessation remains limited. The objective of this study is to examine dietary quality - using Healthy Eating Index (HEI - 2020) and its 13 components, among current, former, and never smokers, and particularly the impact of quitting and the duration of cessation on dietary habits. METHODS: A cross-sectional analysis of 31,569 adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was conducted. Dietary quality was assessed using HEI-2020 scores, which were determined by NIH developed - simple HEI scoring algorithm per person. Smoking status was categorized into current, former, and never smokers, with further subdivisions for current (heavy/light smokers) and former smokers (duration post-cessation). Descriptive analysis and multiple regression models weighted to represent the US population were performed. RESULTS: The current smoking rate was 19.4%, with a higher prevalence in males (22.5%) than females (17.5%). Current smokers reported statistically significantly lower HEI total score than both former and never smokers. Former smokers exhibited HEI scores similar to those of never smokers. The adjusted HEI total scores for current, former, and never smokers were 49.2, 54.0, and 53.3, respectively, with a statistically significant difference (p < 0.001). Moreover, light smokers had better total HEI score than heavy smokers (46.8 vs. 50.8, p < 0.001, respectively), but former and never smokers scored even higher. Quitting smoking immediately improved dietary quality, with former smokers reaching the dietary levels of never smokers within 5-10 years (53.8 vs. 53.3, p > 0.05, respectively). Compared to current smokers, former smokers tended to consume more beneficial foods (e.g., fruits, vegetables, greens and beans, whole grains, proteins, and fatty acids), while also consuming more sodium and less added sugar. CONCLUSIONS: Current smokers, particularly heavy smokers, exhibit poorer dietary habits than former and never smokers. The dietary quality of former smokers aligns with never smokers over time, highlighting the positive impact of smoking cessation on diet. This has implications for reducing chronic disease risks associated with poor diet and smoking.

Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

BACKGROUND: Smoking is a critical risk factor responsible for over eight million annual deaths worldwide. It is essential to obtain information on smoking habits to advance research and implement preventive measures such as screening of high-risk individuals. In most countries, including Denmark, smoking habits are not systematically recorded and at best documented within unstructured free-text segments of electronic health records (EHRs). This would require researchers and clinicians to manually navigate through extensive amounts of unstructured data, which is one of the main reasons that smoking habits are rarely integrated into larger studies. Our aim is to develop machine learning models to classify patients' smoking status from their EHRs. METHODS: This study proposes an efficient natural language processing (NLP) pipeline capable of classifying patients' smoking status and providing explanations for the decisions. The proposed NLP pipeline comprises four distinct components, which are; (1) considering preprocessing techniques to address abbreviations, punctuation, and other textual irregularities, (2) four cutting-edge feature extraction techniques, i.e. Embedding, BERT, Word2Vec, and Count Vectorizer, employed to extract the optimal features, (3) utilization of a Stacking-based Ensemble (SE) model and a Convolutional Long Short-Term Memory Neural Network (CNN-LSTM) for the identification of smoking status, and (4) application of a local interpretable model-agnostic explanation to explain the decisions rendered by the detection models. The EHRs of 23,132 patients with suspected lung cancer were collected from the Region of Southern Denmark during the period 1/1/2009-31/12/2018. A medical professional annotated the data into 'Smoker' and 'Non-Smoker' with further classifications as 'Active-Smoker', 'Former-Smoker', and 'Never-Smoker'. Subsequently, the annotated dataset was used for the development of binary and multiclass classification models. An extensive comparison was conducted of the detection performance across various model architectures. RESULTS: The results of experimental validation confirm the consistency among the models. However, for binary classification, BERT method with CNN-LSTM architecture outperformed other models by achieving precision, recall, and F1-scores between 97% and 99% for both Never-Smokers and Active-Smokers. In multiclass classification, the Embedding technique with CNN-LSTM architecture yielded the most favorable results in class-specific evaluations, with equal performance measures of 97% for Never-Smoker and measures in the range of 86 to 89% for Active-Smoker and 91-92% for Never-Smoker. CONCLUSION: Our proposed NLP pipeline achieved a high level of classification performance. In addition, we presented the explanation of the decision made by the best performing detection model. Future work will expand the model's capabilities to analyze longer notes and a broader range of categories to maximize its utility in further research and screening applications.

The clustering effects of current smoking status, overweight/obesity, and physical inactivity with all-cause and cause-specific mortality risks in U.S. adults.

Objective: To estimate the associations of smoking, weight status and physical inactivity with all-cause and cause-specific deaths, and the advanced rate period (RAP) to determine how early death was advanced among United States (U.S.) adults aged 18 years or older. Methods: We used data from the third National Health and Nutrition Examination Survey (NHANES III) and the 2019 Linked Mortality File (LMF) with a follow-up period of 21.6 years (n = 16,612, including 7,278 deaths). Smoking, weight status, and physical inactivity were obtained from NHANES III and mortality outcomes from the 2019 LMF. Cox regression was used to estimate hazard ratios, RAPs and their corresponding confidence intervals. Results: For adults who currently smoke, were obese and physically inactive, the rate of dying from all-cause, CVD, and cancer was at least 231 % greater than for those who never smoked, were normal weight and physically active. The RAPs associated with the clustering of these risk factors for all cause, CVD- and cancer-specific cause of deaths were 13.0, 12.1 and 18.9 years older, respectively. Conclusions: Our findings underscore the need to focus on modifiable risk factors for illness prevention and health promotion and call attention to the increasing clustering of unhealthy risk factors in the U.S. population.

Impact of New York City Cigarette Floor Price Policy on Reducing Smoking Disparities.

INTRODUCTION: In 2017, New York City (NYC) passed a minimum floor price law (MFPL) to raise the minimum price of a pack of cigarettes to $13.00. Evaluation of the MFPL in NYC is limited and has yet to examine its potential as a pro-equity policy. METHODS: Data (n = 20,241; pre-policy n =15,037, post-policy n =5,204) were obtained from the New York State Adult Tobacco Survey, a quarterly repeated cross-sectional survey. Using the Difference-in-Differences approach, we compared changes in reported cigarette prices, cigarette consumption, and smoking status among NYC residents before and after policy implementation to changes in the same outcomes among residents in the rest of the state (ROS) over the same period. RESULTS: For some smokers, cigarette price increased in NYC for post-policy period; moreover, prices increased more in NYC than in ROS. NYC smokers who reported higher income, more education, or White or "Other" race, reported a bigger price increase than their ROS counterparts. Cigarette consumption decreased more in the post-policy period for people in the ROS, in general and among certain groups. Everyday smoking status decreased similarly in both NYC and ROS, whereas someday smoking status decreased primarily in the ROS during the analysis period. CONCLUSIONS: Cigarette prices in NYC increased after the 2017 MFPL; these increases were greater than those occurring elsewhere in the state, suggesting the policy might be a factor in the change. However, the increases were concentrated among relatively higher priced purchases, and groups with lower smoking prevalence. Changes in smoking status and cigarette consumption did not correspond to study hypotheses. IMPLICATIONS: This study provides an empirical analysis of a real-world policy in tobacco control. It examines the potential of the MFPL in New York City as a pro-equity policy. Findings extend the current MFPL literature and suggest that they may be able to raise cigarette prices for some purchases, but also may have a limited impact on smoking behaviors.

Perioperative Evaluation of the Physical Quality of Life of Patients with Non-Small Cell Lung Cancer: A Prospective Study.

Surgery is the most effective treatment for early-stage lung cancer; however, it poses a higher physical burden than other treatment options. Therefore, understanding the perioperative course of patients is important. Using the Short Form Health Survey 36, we prospectively measured the physical quality of life of patients who underwent anatomical pulmonary resection for non-small cell lung cancer at Shonan Kamakura General Hospital, Kanagawa, Japan (n = 87). In the preoperative setting, patients who had lower performance status and lived alone had significantly worse physical quality of life scores on multivariate analysis (regression coefficient (95% confidence interval), -9.37 (-13.43--5.32) and -10.22 (-13.74--7.40), respectively, p < 0.0001 for both). At 6 months postoperatively, patients who stopped smoking within 1 year preoperatively (stopped smoking within 1 year vs. remote or never smokers, 41.0 ± 10.5 vs. 48.6 ± 7.2, p = 0.002), had lower performance status (0 vs. 1-2, 49.3 ± 6.6 vs. 38.6 ± 9.6, p < 0.0001), lived alone (living alone vs. living with somebody, 41.6 ± 9.7 vs. 48.1 ± 7.9, p = 0.021), and had higher comorbid burden (Charlson comorbidity index <3 vs. ≥3, 48.2 ± 6.9 vs. 39.1 ± 14.7, p = 0.003) had significantly worse physical quality of life scores on univariate analysis. More recent smoking (regression coefficient (95% confidence interval), -4.90 (-8.78-1.0), p = 0.014), lower performance status (8.90 (5.10-12.70), p < 0.0001), living alone (5.76 (1.39-10.13), p = 0.01), and higher comorbid burden (-6.94 (-11.78--2.10), p = 0.006) were significant independent predictors of worse postoperative physical quality of life on multivariate analysis. Therefore, patients with these conditions might need additional support to maintain their physical condition after anatomical lung cancer surgery.

TGF-ß1 and TGF-ßR1 variants are associated with clinical outcomes in smoking-related head and neck cancer patients treated with chemoradiation through modulating microRNA-mediated regulation.

TGF-ß1 and TGF-ßR1 play important roles in immune and inflammatory responses. Genetic variants of TGF-ß1 rs1800470 and TGF-ßR1 rs334348 have emerged as potentially prognostic biomarkers for HPV-related head and neck cancer, while their prognostic effect on survival of smoking-related head and neck cancer remains unknown. This study included 1403 patients with smoking-related head and neck cancer, and all these patients were genotyped for TGF-ß1 rs1800470 and TGF-ßR1 rs334348. Both univariate and multivariate analyses were performed to evaluate associations between the two functional genetic variants in microRNA binding sites of TGF-ß1 and TGF-ßR1 and survivals. Patients with TGF-ß1 rs1800470 CT or CC genotype had 30-35% risk reductions for OS, DSS, and DFS compared to patients with TT genotype among overall patients, ever smokers, and patients administered chemoradiation. Furthermore, patients with TGF-ßR1 rs334348 GA or GG genotype had significant 50-60% risk reductions for OS, DSS, and DFS compared to patients with AA genotype among overall patients and patients administered chemoradiation; among ever smokers, the risk reductions even reached 60-70%. The TCGA dataset was used for validation. These findings suggest that TGF-ß1 rs1800470 and TGF-ßR1 rs334348 significantly affect survival outcomes in patients with smoking-related head and neck cancer, especially in the subgroups of ever smokers and patients treated with chemoradiation. These genetic variants may serve as prognostic indicators for patients with smoking-related head and neck cancer and could play a role in advancing the field of personalized chemoradiation, thereby improving patient survival and quality of life.

[Tobacco cessation: one of the most effective medical measures]. / Tabakentwöhnung ­ eine der effektivsten medizinischen Maßnahmen.

Tobacco smoking is widespread in Germany. An increase in the number of teenagers and young adults that smoke has recently been a cause for concern. The high prevalence in Germany is contrasted by inadequate preventive measures compared to international standards. Smoking behavior should always be inquired about and documented in the same way as vital signs. All smokers, regardless of the reason for contact and motivation, should receive short, low-threshold advice, e.g. using the ABC approach (ask, brief advice, cessation). In addition to repeated advice and referral to further services, the use of nicotine replacement or drug therapy is essential for the success of quitting. The combination of long- and short-acting nicotine replacement products doubles the success rate. Electronic nicotine delivery systems are not recommended for smoking cessation.

Network analysis of smoking-related sleep characteristics in Chinese adults.

The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.

The impact of pre-treatment smoking status on survival after chemoradiotherapy for locally advanced non-small-cell lung cancer.

INTRODUCTION: Smoking is a risk factor for the development of lung cancer and reduces life expectancy within the general population. Retrospective studies suggest that non-smokers have better outcomes after treatment for lung cancer. We used a prospective database to investigate relationships between pre-treatment smoking status and survival for a cohort of patients with stage III non-small-cell lung cancer (NSCLC) treated with curative-intent concurrent chemoradiotherapy (CRT). METHODS: All patients treated with CRT for stage III NSCLC at a major metropolitan cancer centre were prospectively registered to a database. A detailed smoking history was routinely obtained at baseline. Kaplan-Meier statistics were used to assess overall survival and progression-free survival in never versus former versus current smokers. RESULTS: Median overall survival for 265 eligible patients was 2.21 years (95 % Confidence Interval 1.78, 2.84). It was 5.5 years (95 % CI 2.1, not reached) for 25 never-smokers versus 1.9 years (95 % CI 1.5, 2.7) for 182 former smokers and 2.2 years (95 % CI 1.3, 2.7) for 58 current smokers. Hazard ratio for death was 2.43 (95 % CI 1.32-4.50) for former smokers and 2.75 (95 % CI 1.40, 5.40) for current smokers, p = 0.006. Actionable tumour mutations (EGFR, ALK, ROS1) were present in more never smokers (14/25) than former (9/182) or current (3/58) smokers. TKI use was also higher in never smokers but this was not significantly associated with superior survival (Hazard ratio 0.71, 95 % CI 0.41, 1.26). CONCLUSIONS: Never smokers have substantially better overall survival than former or current smokers after undergoing CRT for NSCLC.

Risk of death due to COVID-19 among current and former smokers in the Netherlands: a population-based quasi-cohort study.

BACKGROUND: Research on smoking as a risk factor for death due to COVID-19 remains inconclusive, with different studies demonstrating either an increased or decreased risk of COVID-19 death among smokers. To investigate this controversy, this study uses data from the Netherlands to assess the relationship between smoking and death due to COVID-19. METHODS: In this population-based quasi-cohort study, we linked pseudonymized individual data on smoking status from the 2016 and 2020 'Health Monitor Adults and Elderly' in the Netherlands (n = 914 494) to data from the cause-of-death registry (n = 2962). Death due to COVID-19 in 2020 or 2021 was taken as the main outcome. Poisson regression modelling was used to calculate relative risks (RRs) and 95% CIs of death due to COVID-19 for current and former smokers compared with never smokers while adjusting for relevant confounders (age, sex, educational level, body mass index and perceived health). RESULTS: Former smokers had a higher risk of death due to COVID-19 compared with never smokers across unadjusted (RR, 2.22; 95% CI, 2.04-2.42), age-sex-adjusted (RR, 1.38; 95% CI, 1.22-1.55) and fully adjusted (RR, 1.30; 95% CI, 1.16-1.45) models. Current smokers had a slightly higher risk of death due to COVID-19 compared with never smokers after adjusting for age and sex (RR, 1.21; 95% CI, 1.00-1.48) and after full adjustment (RR, 1.08; 95% CI, 0.90-1.29), although the results were statistically non-significant. CONCLUSIONS: People with a history of smoking appear to have a higher risk of death due to COVID-19. Further research is needed to investigate which underlying mechanisms may explain this.

Discrepant effect of high-density lipoprotein cholesterol on esophageal and gastric cancer risk in a nationwide cohort.

BACKGROUND: The relationship between high-density lipoprotein cholesterol (HDL-C) and gastroesophageal cancer is not constant. METHODS: In this population-based cohort study, 4.518 million cancer-free individuals among those who underwent national cancer screening in 2010 were enrolled and followed up until December 2017. HDL-C level was classified into eight groups at 10 mg/dL intervals. The risk of gastroesophageal cancers by HDL-C was measured using adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). RESULTS: During 8 years of follow-up, 38,362 gastric and 3022 esophageal cancers developed. Low HDL-C level was associated with an increased risk of gastric cancer; aHR was 1.19 (95% CI 1.09-1.30) for HDL-C < 30 mg/dL, 1.07 (95% CI 1.03-1.12) for HDL-C of 30-39 mg/dL, and 1.07 (95% CI 1.03-1.12) for HDL-C of 40-49 mg/dL comparing to HDL-C of 60-69 mg/dL. HDL-C was positively associated with esophageal cancer risk; aHR was 1.30 (1.12-1.51) for HDL-C of 70-79 mg/dL, 1.84 (1.53-2.22) for HDL-C of 80-89 mg/dL, 2.10 (1.67-2.61) for HDL-C ≥ 90 mg/dL. These site-specific effects of HDL-C were robust in sensitivity analyses. The range of HDL-C for the lowest cancer risk was different by sex and site. The hazardous effect of low HDL-C on gastric cancer was prominent in never and past smokers, and extremely high HDL-C increased gastric cancer risk (aHR 1.19; 95% CI 1.04-1.36) only in current smokers. Unfavorable effect of high HDL-C on gastroesophageal cancer risk was remarkable in smokers. CONCLUSIONS: Low HDL-C increased the risk of gastric cancer, wherein high HDL-C was associated with esophageal cancer risk with discrepancies by sex and smoking status.

Prevalence, knowledge, and concerns regarding the use of heated tobacco products and electronic cigarettes among young Japanese physicians.

INTRODUCTION: Heated tobacco products (HTPs) and e-cigarettes (ECs) have gained traction as alternatives for harm reduction, especially in Japan. In particular, the use of HTPs is rapidly gaining popularity among young adults in Japan, with a prevalence of 10.9% in 2020. Despite uncertainties regarding the health effects of HTPs and ECs, concerns regarding nicotine and carcinogens persist. Although physicians play a vital role in smoking cessation, they lack awareness and concerns regarding HTPs. This study aimed to assess the prevalence, knowledge, and concerns regarding HTPs and ECs among young Japanese physicians. METHODS: A cross-sectional online survey was conducted in 2021 with 529 young Japanese physicians aged 24-39 years. Parameters assessed included awareness, smoking status, knowledge of HTPs and ECs, and concerns related to HTPs. Statistical analyses were conducted to assess prevalence, knowledge, and concerns by smoking status using the chi-squared test and logistic regression. RESULTS: Most participants were aware of HTPs (89.0%) and ECs (71.3%). Young male physicians preferred HTPs, while females favored ECs. Primary sources of information included newspapers and stories (56.8%), and TV (37.4%). Non-smokers (89.0%) demonstrated limited knowledge of these products. Concerns were highest and lowest among non-smokers and HTP users, respectively, with safety concerns being the most prevalent. CONCLUSIONS: Young physicians exhibited lower smoking rates than the general population, but HTP use was prominent among young male physicians. Concerns varied based on smoking status, indicating the need to address these issues among healthcare professionals. Despite high awareness, knowledge gaps, particularly among non-smokers, highlight the importance of public health and educational campaigns to disseminate knowledge among physicians, regardless of medical specialty.

Discrimination, Smoking, and Cardiovascular Disease Risk: A Moderated Mediation Analysis With MESA.

BACKGROUND: Carotid intima-media thickness (cIMT) and carotid plaque are reliable indicators of cardiovascular disease risk, and research highlights that racial and ethnic minority individuals generally exhibit higher cIMT and carotid plaque than White individuals. At present, the mechanisms driving these disparities among different racial and ethnic and biological sex groups are poorly understood. METHODS AND RESULTS: Data came from the baseline examination of MESA (Multi-Ethnic Study of Atherosclerosis). A total of 6814 participants aged 45 to 84 years free of clinical cardiovascular disease completed assessments on health behavior and perceived discrimination. Four sex-stratified moderated mediation models examined associations between discrimination, cigarette smoking, and mean cIMT and plaque. We hypothesized that cigarette use would mediate the association between discrimination and carotid artery disease features, and that these would differ by race and ethnicity. Indirect effects of discrimination on plaque were observed among Hispanic women such that discrimination was associated with cigarette use and, in turn, higher plaque (ß=0.04 [95% CI, 0.01-0.08]). Indirect effects of discrimination on mean cIMT were found among Hispanic (ß=0.003 [95% CI, 0.0001-0.007]) and White men (ß=0.04 [95% CI, 0.01-0.08]) such that discrimination was associated with cigarette use and, in turn, higher cIMT. Finally, a positive indirect effect of discrimination on plaque was observed among Hispanic men (ß=0.03 [95% CI, 0.004-0.07]). No other racial and ethnic differences were observed. CONCLUSIONS: To understand and address social determinants of cardiovascular disease, researchers must incorporate an intersectional framework that will allow us to understand the complex nature of discrimination and cardiovascular disease risk for individuals of varying intersecting identities and social positions.

Lifestyle factors associated with presenteeism among city government office workers: a cross-sectional study.

OBJECTIVES: Presenteeism is a critical issue in occupational health. This study aimed to examine the association between presenteeism and subjective sleep quality, smoking status, and alcohol consumption. METHODS: Anonymous data of 777 workers in a Japanese city were retrospectively obtained from City Government Office A. They included variables like absolute presenteeism scores (measured using the Japanese version of the World Health Organization Health and Work Performance Questionnaire short form), gender, age, family status, subjective sleep quality, smoking status, and alcohol consumption. A binary logistic regression analysis was performed with gender, age, family status, subjective sleep quality, smoking status, and alcohol consumption as the independent variables, and absolute presenteeism scores equal to or below 40 as the dependent variable. A gender-stratified binary logistic regression analysis was also performed. RESULTS: The logistic regression analysis results revealed that absolute presenteeism was positively associated with poor subjective sleep quality among all respondents (odds ratio [OR], 1.70; 95% CI, 1.18-2.44) and men (OR, 1.85; 95% CI, 1.12-3.05) and with current drinkers among women (OR, 3.49; 95% CI, 1.36-8.92); it was negatively associated with age among those who were ≥50 years old (OR, 0.50; 95% CI, 0.27-0.93) and with current drinkers among men (OR, 0.43; 95% CI, 0.20-0.92). CONCLUSIONS: The factors associated with presenteeism differed between men and women office workers, suggesting that gender differences need to be considered when working toward improving workers' productivity.