THE RELATIONSHIP BETWEEN THE CONDITION OF THE ORAL CAVITY AND THE USE OF TOBACCO PRODUCTS IN DIFFERENT AGE GROUPS.

Understanding the harmful effects of using tobacco products (cigarettes, electronic cigarettes (e-cigarette) or vape, IQOS, hookah, etc.) by various segments of the population is one of the important ways to improve the condition of the tissues of the oral cavity, since smoking is an important risk factor for the occurrence of chronic destructive periodontal diseases. The purpose of our work was a study of the relationship between the state of the oral cavity and the use of tobacco products in different age groups based on the conducted questionnaire. MATERIAL AND METHODS: In order to conduct this research, an anonymous survey was conducted in the form of a Google document among people divided into three age groups: younger (under 21), middle (21-40) and older (over 40) with 1113 participants. In the survey, they answered questions about their lifestyle, the type of tobacco product used, visible changes of oral cavity if they were present. RESULTS: Studies show that smoking and the use of tobacco products is a fairly common phenomenon in modern society and reflects a direct correlation between the intensity of this habit in people and the development of various pathological conditions of the mucous membranes of the mouth. A significant period of cigarette use, and the accompanying insufficiency of oral hygiene measures increase risk of oral cavity injury. More than 60% answered that they regularly brush their teeth twice a day. At the same time, at least half of all respondents answered that they use dental floss and mouthwashes irregularly, and also visit the dentist only when necessary. Among the first two age groups, it is noted that up to 52% of people consume various sweets and sweet drinks every day, which is a factor that contributes to the appearance of destructive changes in the oral cavity. Similar factors include the lack of an active lifestyle. So, from 30% to 50% in each age group don't have any physical exercise. Only up to 30% of people have up to 3 physical exercises a week or have morning exercise every day. CONCLUSIONS: The most pronounced correlative relationship for severity of changes in oral cavity was revealed between with experience of smoking (how long) - r=0.79, intensity of smoking (r=0.75) and oral hygiene practices (r=0.71). It is necessary to develop new methods of combating the consequences of long-term use of tobacco products, as well as preventing the appearance of uncompensated changes in the mucous membrane of the oral cavity.

ATTITUDES AND BEHAVIORS RELATED TO REDUCING SECONDHAND SMOKE EXPOSURE AMONG MEDICAL UNIVERSITY STUDENTS IN THE COUNTRY OF GEORGIA.

Public smoke-free policy support can contribute to effective policy adoption, implementation, and impact. Furthermore, individuals may engage in behaviors to reduce secondhand smoke exposure (SHSe). This study examined factors associated with smoke-free policy support and behaviors to reduce SHSe. MATERIAL AND METHODS: We analyzed cross-sectional survey data among 261 students (Mage=22.26, SD=2.76; 55.6% female) at a large medical university in Tbilisi, Georgia. Multivariable regression analyses assessed sociodemographics, tobacco use, past-week SHSe, perceived risk of SHSe, and perceived smoke-free policy effectiveness in relation to smoke-free policy support; SHSe avoidance; and having asked others to put out cigarettes. RESULTS: Overall, 38.3% reported current smoking, 62.8% lived with someone who used tobacco, and the average number of days of SHSe was 4.07 (SD=2.17). Most commons SHSe sources were open (58.2%) and closed public places (24.1%). The majority supported the smoking ban in closed (94.6%) and open public places (59.8%); 71.6% believed it should include other places. Average ratings were relatively high for perceived risk (M=3.38, 1=no-4=serious) but lower for perceived smoke-free policy effectiveness (M=2.51, 1=not-4=quite) and avoidance of SHSe (M=3.32, 1=never-5=always); 58.6% had asked someone to put out cigarettes. Greater smoke-free policy support, avoidance of SHSe, and having asked someone to put out cigarettes (respectively) were associated with nonsmoking status and greater perceived SHSe risk (p's<.01). CONCLUSIONS: Despite general support for smoke-free policy and engagement in SHSe reduction behaviors in Georgia, additional efforts to reduce SHSe are needed (e.g., media campaigns to raise SHSe risk awareness, engaging nonsmoking adults in enforcement).

The Interest in Betting, Smoking, Alcohol, and Drugs in Malawi: Changing Trends between 2012-2022.

Background: In recent years, the online gambling market has rapidly developed, and betting has become one of the most popular forms of gambling. The aim of this study was to analyse the interest of the Malawian population in terms related to betting, sports betting, alcohol, cigarettes, and some psychoactive drugs through the relative search volumes of Google Trends. Methods: Internet search query data related to betting, sports betting, alcohol, cigarettes, and psychoactive drugs were obtained monthly from Google Trends for the period 2010-2022. Comparisons of interest levels in these topics were conducted in Malawi, and correlation coefficients were calculated. Results: In Malawi, relative search volumes for betting and sports betting terms were the highest (average RSVs: 66% and 30%). It was found that from 2019 onwards, the interest in betting and sports-related search topics and keywords increased significantly (p < 0.001). Strong positive correlations were found between betting-related keywords and alcohol and gross domestic product (r = 0.831 and r = 0.901, p < 0.001). A positive correlation was found between betting and psychoactive drug-related terms (minimum r = 0.417, p < 0.01). Conclusions: This study concludes that the interest of the Malawian population in betting has increased in recent years, while interest in psychoactive drugs and alcohol remains high. Gross domestic product is highly correlated with society's interest in betting. It was additionally found that Google Trends can be used as a tool to predict and monitor future risky behaviours, such as gambling disorder.

Risk factors for breast cancer among women in Freetown, Sierra Leone, 2017: a case-control study.

Introduction: breast cancer is the most commonly diagnosed malignancy and an important cause of cancer death among females worldwide. The disease accounted for 25% (1.67 million) of new cancer cases and the fifth cause of cancer deaths. Incidence of all types of cancers is approximately 25% in Sierra Leone. However, there was no documented evidence on risk factors for breast cancer among women in the country. The main aim of this study was to assess risk factors associated with breast cancer among women screened for breast cancer in Freetown Sierra Leone. Methods: we conducted a case-control study on breast cancer involving 116 confirmed breast cancer cases and 116 controls. Questionnaire was designed to collect data on socio-demographic, reproductive and behavioral risk factors. Analysis was carried using logistic regression to assess the associations between breast cancer and the risk factors. Results: in the final multiple logistic regression, had formal educational level, (aOR 0.1, 0.03-0.26, p= 0.001) physical activity for more than 30 minutes per week (aOR 0.5 (0.9- 0.7, p=0.001). Cigarette smoking (aOR 4.8, 1.2-18.5, p=0.023) and family history of breast cancer (aOR 9.9 cigarette smoking (OR 4.4, 1.2-18.5, p=0.023) and family history of breast cancer (OR 9.9, 2.7-36.45, p=0.040) were identified as the main risk factors for breast cancer. This study did not find any statistically significant associations between reproductive risk factors and breast cancer. Conclusion: risk factors for breast cancer among women in Sierra Leone include educational level, physical activity, cigarette smoking and family history of breast cancer. We recommended screening program for women above 40 years and had history of breast cancer. Also, to establish breast cancer registry.

Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data.

Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is essential for precision medicine. In this study, we developed interpretable predictive models for multi-omics data by employing neural networks informed by prior biological knowledge, referred to as visible networks. These neural networks offer insights into the decision-making process and can unveil novel perspectives on the underlying biological mechanisms associated with traits and complex diseases. We tested the performance, interpretability and generalizability for inferring smoking status, subject age and LDL levels using genome-wide RNA expression and CpG methylation data from the blood of the BIOS consortium (four population cohorts, Ntotal = 2940). In a cohort-wise cross-validation setting, the consistency of the diagnostic performance and interpretation was assessed. Performance was consistently high for predicting smoking status with an overall mean AUC of 0.95 (95% CI: 0.90-1.00) and interpretation revealed the involvement of well-replicated genes such as AHRR, GPR15 and LRRN3. LDL-level predictions were only generalized in a single cohort with an R2 of 0.07 (95% CI: 0.05-0.08). Age was inferred with a mean error of 5.16 (95% CI: 3.97-6.35) years with the genes COL11A2, AFAP1, OTUD7A, PTPRN2, ADARB2 and CD34 consistently predictive. For both regression tasks, we found that using multi-omics networks improved performance, stability and generalizability compared to interpretable single omic networks. We believe that visible neural networks have great potential for multi-omics analysis; they combine multi-omic data elegantly, are interpretable, and generalize well to data from different cohorts.

Impact of mitigating obesity, smoking, and physical inactivity on type 2 diabetes mellitus burden in Oman: insights from mathematical modeling.

INTRODUCTION: To estimate the impact of reducing obesity, smoking, and physical inactivity (PIA) prevalence, and of introducing physical activity (PA) as an explicit intervention, on the prevalence, incidence, and mortality of type 2 diabetes mellitus (T2DM) in Oman. RESEARCH DESIGN AND METHODS: A deterministic population-level mathematical model was employed to investigate the impact of different scenarios for reducing T2DM risk factors on T2DM epidemiology. The model was stratified by sex, age group, risk factor status, T2DM status, and intervention status and parameterized with nationally representative data. Intervention scenarios were calculated and compared with a baseline (no-intervention) scenario for changes in T2DM prevalence, incidence, and mortality among adult Omanis between 2020 and 2050. RESULTS: In the no-intervention scenario, T2DM prevalence increased from 15.2% in 2020 to 23.8% in 2050. Achieving the goals of halting the rise of obesity, reducing smoking by 30%, and reducing PIA by 10% as outlined in the WHO's Global Action Plan for Non-communicable Diseases (implemented between 2020 and 2030 and then maintained between 2031 and 2050) would reduce T2DM prevalence by 32.2%, cumulative incidence by 31.3%, and related deaths by 19.3% by 2050. Halting the rise of or reducing obesity prevalence by 10%-50% would reduce T2DM prevalence by 33.0%-51.3%, cumulative incidence by 31.9%-53.0%, and related deaths by 19.5%-35.6%. Reducing smoking or PIA prevalence by 10%-50% would lead to smaller reductions of less than 5% in T2DM prevalence, cumulative incidence, and related deaths. Introducing PA with varying intensities at a 25% coverage would reduce T2DM prevalence by 4.9%-14.1%, cumulative incidence by 4.8%-13.8%, and related deaths by 3.4%-9.6% by 2050. CONCLUSIONS: Intervention-for-prevention efforts targeting obesity reduction and introducing PA could result in major reductions in the T2DM burden. Prioritizing such interventions could alleviate the burden of T2DM in Oman and other countries with similarly high T2DM and obesity burdens.

Beyond tobacco: genomic disparities in lung cancer between smokers and never-smokers.

BACKGROUND: Tobacco use is one of the main risk factors for Lung Cancer (LC) development. However, about 10-20% of those diagnosed with the disease are never-smokers. For Non-Small Cell Lung Cancer (NSCLC) there are clear differences in both the clinical presentation and the tumor genomic profiles between smokers and never-smokers. For example, the Lung Adenocarcinoma (LUAD) histological subtype in never-smokers is predominately found in young women of European, North American, and Asian descent. While the clinical presentation and tumor genomic profiles of smokers have been widely examined, never-smokers are usually underrepresented, especially those of a Latin American (LA) background. In this work, we characterize, for the first time, the difference in the genomic profiles between smokers and never-smokers LC patients from Chile. METHODS: We conduct a comparison by smoking status in the frequencies of genomic alterations (GAs) including somatic mutations and structural variants (fusions) in a total of 10 clinically relevant genes, including the eight most common actionable genes for LC (EGFR, KRAS, ALK, MET, BRAF, RET, ERBB2, and ROS1) and two established driver genes for malignancies other than LC (PIK3CA and MAP2K1). Study participants were grouped as either smokers (current and former, n = 473) or never-smokers (n = 200) according to self-report tobacco use at enrollment. RESULTS: Our findings indicate a higher overall GA frequency for never-smokers compared to smokers (58 vs. 45.7, p-value < 0.01) with the genes EGFR, KRAS, and PIK3CA displaying the highest prevalence while ERBB2, RET, and ROS1 the lowest. Never-smokers present higher frequencies in seven out of the 10 genes; however, smokers harbor a more complex genomic profile. The clearest differences between groups are seen for EGFR (15.6 vs. 21.5, p-value: < 0.01), PIK3CA (6.8 vs 9.5) and ALK (3.2 vs 7.5) in favor of never-smokers, and KRAS (16.3 vs. 11.5) and MAP2K1 (6.6 vs. 3.5) in favor of smokers. Alterations in these genes are comprised almost exclusively by somatic mutations in EGFR and mainly by fusions in ALK, and only by mutations in PIK3CA, KRAS and MAP2K1. CONCLUSIONS: We found clear differences in the genomic landscape by smoking status in LUAD patients from Chile, with potential implications for clinical management in these limited-resource settings.

Associations between lifestyle-related risk factors and back pain: a systematic review and meta-analysis of Mendelian randomization studies.

BACKGROUND: Mendelian randomization (MR) studies have an advantage over conventional observational studies when studying the causal effect of lifestyle-related risk factors on back pain. However, given the heterogeneous design of existing MR studies on back pain, the reported causal estimates of these effects remain equivocal, thus obscuring the true extent of the biological effects of back pain lifestyle-risk factors. PURPOSE: The purpose of this study was to conduct a systematic review with multiple meta-analyses on the associations between various lifestyle factors and low back pain. METHODS: We conducted a PRISMA systematic review and specifically included MR studies to investigate the associations between lifestyle factors-specifically, BMI, insomnia, smoking, alcohol consumption, and leisure sedentary behavior-and various back pain outcomes. Each meta-analysis synthesized data from three or more studies to assess the causal impact of these exposures on distinct back pain outcomes, including chronic pain, disability, and pain severity. Quality of studies was assessed according to STROBE-MR guidelines. RESULTS: A total of 1576 studies were evaluated and 20 were included. Overall, the studies included were of high quality and had a low risk of bias. Our meta-analysis demonstrates the positive causal effect of BMI (OR IVW-random effects models: 1.18 [1.08-1.30]), insomnia(OR IVW-random effects models: 1.38 [1.10-1.74]), smoking(OR IVW-fixed effects models: 1.30 [1.23-1.36]), alcohol consumption(OR IVW-fixed effects models: 1.31 [1.21-1.42]) and leisure sedentary behaviors(OR IVW-random effects models: 1.52 [1.02-2.25]) on back pain. CONCLUSION: In light of the disparate designs and causal effect estimates presented in numerous MR studies, our meta-analysis establishes a compelling argument that lifestyle-related risk factors such as BMI, insomnia, smoking, alcohol consumption, and leisure sedentary behaviors genuinely contribute to the biological development of back pain.

An investigation into social determinants of health lifestyles of Canadians: a nationwide cross-sectional study on smoking, physical activity, and alcohol consumption.

BACKGROUND: Health lifestyles exert a substantial influence on the quality of everyday life, primarily affecting health maintenance and enhancement. While health-related practices during the COVID-19 pandemic may have positively altered the health lifestyles of Canadians to a certain degree, government reports indicate that issues related to health behaviors, such as cigarette smoking, physical inactivity, and alcohol consumption, continue to pose challenges to the health of Canadians. Social determinants of these health behaviors thus hold significant academic value in the formulation of policy guidelines. OBJECTIVE: The aim of this study is to scrutinize the social determinants of health with respect to social factors that have may have impacts on the health-related behaviors of Canadians. We tested health behaviors including cigarette use, alcohol consumption, and participation in physical exercise, which are integral to the promotion and improvement of individual health. METHODS: To examine the social determinants of Canadians' health lifestyles, we utilized nationally representative data from the 2017-2018 Canadian Community Health Survey annual component. Our data analysis involved the bootstrapping method with two-level mixed-effect logistic regressions, ordered logistic regressions, and negative binomial regressions. Additionally, we conducted several robustness checks to confirm the validity of our findings. RESULTS: The findings show that demographic background, socioeconomic status, social connections, and physical and mental health conditions all play a role in Canadians' smoking, physical activity, and drinking behaviors. Noticeably, the association patterns linking to these social determinants vary across specific health lifestyles, shedding light on the complex nature of the social determinants that may influence young and middle-aged Canadians' health lifestyles. Moreover, in the context of Canada, the health-region level demographic, socioeconomic, and working conditions are significantly linked to residents' health lifestyles. CONCLUSIONS: Investigating the social determinants of health lifestyles is pivotal for policymakers, providing them with the necessary insights to create effective interventions that promote healthy behaviors among specific demographic groups. It is recommended that health education and interventions at the community level targeting smoking, physical inactivity, and alcohol consumption be introduced. These interventions should be tailored to specific subgroups, considering their demographic and socioeconomic characteristics, social networks, and health status. For instance, it is imperative to focus our attention on individuals with lower educational attainment and socioeconomic status, particularly in relation to their smoking habits and physical inactivity. Conversely, interventions aimed at addressing alcohol consumption should be targeted towards individuals of a higher socioeconomic status. This nuanced approach allows for a more effective and tailored intervention strategy.

Prevalence of Chronic Obstructive Pulmonary Disease and Its Associated Risk Factors in Yunnan Province, China: A Population Based Cross-Sectional Study.

Purpose: Chronic obstructive pulmonary disease (COPD) is a significant disease impacting health and quality of life. Yunnan Province, a major tobacco producer, lacks comprehensive COPD studies. The purpose of this study is to describe the epidemic situation of COPD in Yunnan province and explore its influencing factors. Methods: This study is a cross-sectional research conducted in a representative sample of adults aged 20 and older from 13 prefectures and cities in Yunnan Province, China. COPD was diagnosed using post-bronchodilator pulmonary function tests. Demographics were analyzed with descriptive statistics. The influencing factors of COPD were examined by using the multivariate logistic regression models. Results: Our study found that high-risk individuals for COPD accounted for 20.30% of the screened population aged 20 and above, with a COPD prevalence of 27.18% among this high-risk group. Male had a higher prevalence (33.01%) than did female (16.35%; p<0.001 for sex difference). Additionally, the proportion of severe and extremely severe COPD cases in Yunnan Province was higher than the national average and other provinces. After considering the potential confounding variables, male (OR=2.291, 95% CI: 1.584-3.313), age (OR=1.501, 95% CI: 1.338-1.685), underweight (OR=1.747, 95% CI: 1.225-2.491), previous smoking (OR=1.712, 95% CI: 1.182-2.478), passive smoking (OR=1.444, 95% CI: 1.159-1.800), and a history of respiratory system diseases in childhood (OR=2.010, 95% CI: 1.346-3.001) were significantly associated with an increased risk of COPD. Conversely, being overweight (OR=0.636, 95% CI: 0.489-0.828), and residing in high-altitude counties (OR=0.445, 95% CI: 0.263-0.754) were negatively correlated with the risk of COPD. Conclusion: There is significant prevalence of COPD (27.18%) among high-risk population aged 20 and above in Yunnan Province, China. Apart from male, smoking, BMI and other known risk factors for COPD. We found that high-altitude residence had a lower prevalence of COPD. There is no significant difference in COPD prevalence between Han and ethnic minority populations.

Youths' awareness and attitudes towards raising the minimum legal age of smoking and passive smoking in Singapore.

Objectives: Early smoking initiation has been associated with a higher risk of developing long-term smoking habit. There is a growing global consensus that demands raising the minimum legal age (MLA) for smoking as an approach to address this problem. Singapore successfully raised the MLA from 18 to 21 years in 2021. This study aimed to evaluate the awareness and attitude of multi-ethnic Asian youth (aged 15-24) on raising MLA to 21 and passive smoking. Methods: A cross-sectional survey comprising of 23 items was circulated via a secure internet-based platform, FORMSG between September and November 2022. Data were analyzed for descriptive statistics. Categorical variables were compared for association with receptivity toward change in MLA using Chi-Squared test and multivariable logistic regression analysis using Rstudio. Post-hoc Bonferroni correction were further utilized for pairwise comparison. Results: Majority (80.3%) of the 608 participants expressed their support for MLA 21 implementation. Participants' age was a significant variable as those aged 15-17 years old (OR = 2.1, 95%CI = 1.01-4.32, p = 0.048) showed a higher likelihood of supporting MLA implementation compared to those aged 21 and above. In addition, majority (89.8%) of them were also aware of the harmful effects of passive smoking. When it came to discouraging smoking among youth, family influence (64%) and school education (55.6%) emerged as the top strategies. Conclusion: Most of the youth express strong support for raising the MLA to 21, with over 80% in favor of such change, reflects a significant harmony among youth in favor of tobacco-free environment.

Smoking and consumption of ultra-processed foods - a combination of risky choices: A cross-sectional study using Vigitel 2018 data.

BACKGROUND: Smoking and unhealthy diet are important risk factors for cardiovascular and metabolic diseases, contributing to public health crises. OBJECTIVE: To evaluate the consumption of natural/minimally processed and ultra-processed foods by Brazilian adults (18-59 years old) according to smoking status. DESIGN AND SETTING: Cross-sectional study of a representative population sample from 26 state capitals and the Federal District (Brazil-2018). METHODS: Data were obtained from Vigitel-Surveillance System for Risk and Protection Factors for Chronic Diseases by Telephone Survey. Participants were categorized as smokers, ex-smokers, and never smokers. Multinomial logistic regression was used for analyses. RESULTS: Of the 30,800 adults evaluated, 9.4% (95%CI: 8.7-10.2) were smokers and 16.5% (95%CI: 15.8-17.3) were ex-smokers. Smokers were less likely to consume fruit and natural juice, and more likely to consume soda or artificial juice (≥ 5 days/week) than ex-smokers and never smokers. Regarding the daily frequency of consumption, smokers were observed to be less likely to eat fruit more than 1 time/day and more likely to drink ≥ 3 cups/cans of soda/day. Compared to never smokers, smokers had a 42% higher chance of consuming ≥ 3 glasses of natural juice/day. On the day before the interview, fruit, milk, tubers, squash, and okra consumption were lower among smokers than non-smokers. Smokers were more likely to report consuming soft drinks, fruit juice, sauces, ready-made dishes, margarine, and sausages. CONCLUSION: Smokers had lower fruit consumption, and higher consumption of natural juices and ultra-processed foods. We highlight the need for strategies that encourage healthy eating and smoking cessation.

A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MS.

INTRODUCTION: This study employs Proton-Transfer-Reaction Mass Spectrometry (PTR-MS) to analyze exhaled breath profiles of 504 healthy adults, focusing on nine common volatile organic compounds (VOCs): acetone, acetaldehyde, acetonitrile, ethanol, isoprene, methanol, propanol, phenol, and toluene. PTR-MS offers real-time VOC measurement, crucial for understanding breath biomarkers and their applications in health assessment. OBJECTIVES: The study aims to investigate how demographic factors-gender, age, and smoking history-affect VOC concentrations in exhaled breath. The objective is to enhance our understanding of breath biomarkers and their potential for health monitoring and clinical diagnosis. METHODS: Exhaled breath samples were collected using PTR-MS, measuring concentrations of nine VOCs. The data were analyzed to discern distribution patterns across demographic groups. RESULTS: Males showed higher average VOC levels for certain compounds. Propanol and methanol concentrations significantly increased with age. Smoking history influenced VOC levels, with differences among non-smokers, current smokers, and ex-smokers. CONCLUSION: This research provides valuable insights into demographic influences on exhaled VOC profiles, emphasizing the potential of breath analysis for health assessment. PTR-MS's real-time measurement capabilities are crucial for capturing dynamic VOC changes, offering advantages over conventional methods. These findings lay a foundation for advancements in non-invasive disease detection, highlighting the importance of considering demographics in breath biomarker research.

Comprehensive appraisal of lung function in young COPD patients: a single center observational study.

PURPOSE: The present study aimed to investigate the clinical characteristics and lung function impairment in young people diagnosed with chronic obstructive pulmonary disease (COPD). PATIENTS AND METHODS: We retrospectively enrolled patients with COPD who underwent symptom assessment and comprehensive pulmonary function tests at the First Affiliated Hospital of Guangzhou Medical University between August 2017 and March 2022. The patients were categorized into two groups based on age: a young COPD group (aged 20-50 years) and an old COPD group (aged > 50 years). RESULTS: A total of 1282 patients with COPD were included in the study, with 76 young COPD patients and 1206 old COPD patients. Young COPD patients exhibited a higher likelihood of being asymptomatic, lower rates of smoking, and a lower smoking index compared to old COPD patients. Although young COPD patients had higher median post-bronchodilator forced expiratory volume in 1 s (post-BD FEV1) (1.4 vs.1.2 L, P = 0.019), diffusing capacity of the lung for carbon monoxide (DLCO) (7.2 vs. 4.6, P<0.001), and a lower median residual volume to total lung capacity ratio (RV/TLC) compared to their older counterparts, there were no differences observed in severity distribution by GOLD categories or the proportion of lung hyperinflation (RV/TLC%pred > 120%) between two groups. Surprisingly, the prevalence of reduced DLCO was found to be 71.1% in young COPD, although lower than in old COPD (85.2%). CONCLUSION: Young COPD showed fewer respiratory symptoms, yet displayed a similar severity distribution by GOLD categories. Furthermore, a majority of them demonstrated lung hyperinflation and reduced DLCO. These results underscore the importance of a comprehensive assessment of lung function in young COPD patients.

Smoking and vaping alter genes related to mechanisms of SARS-CoV-2 susceptibility and severity: a systematic review and meta-analysis.

BACKGROUND: Evidence for the impact of smoking on coronavirus disease 2019 (COVID-19) is contradictory, and there is little research on vaping. Here we provide greater clarity on mechanisms perturbed by tobacco cigarette, electronic cigarette and nicotine exposures that may impact the risks of infection and/or disease severity. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the Ovid and Web of Science databases were searched. Study design and exposure-induced gene expression changes were extracted. Each study was quality assessed and higher confidence scores were assigned to genes consistently changed across multiple studies following the same exposure. These genes were used to explore pathways significantly altered following exposure. RESULTS: 125 studies provided data on 480 genes altered by exposure to tobacco cigarettes, e-cigarettes, nicotine or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Genes involved in both SARS-CoV-2 viral-entry and inflammation were changed following exposure. Pathway analysis revealed that many of those genes with high confidence scores are involved in common cellular processes relating to hyperinflammatory immune responses. CONCLUSION: Exposure to tobacco cigarettes, e-cigarettes or nicotine may therefore impact initial host-pathogen interactions and disease severity. Smokers and vapers of e-cigarettes with nicotine could potentially be at increased risk of SARS-CoV-2 infection, associated cytokine storm, and acute respiratory distress syndrome. However, further research is required, particularly on e-cigarettes, to determine the biological mechanisms involved in perturbation of viral-entry genes and host-pathogen interactions and subsequent responses within the respiratory tract. This will improve our physiological understanding of the impact of smoking and vaping on COVID-19, informing public health advice and providing improved guidance for management of SARS-CoV-2 and other respiratory viruses.

Clinical effects of omega-3 fatty acids supplementation in the periodontal treatment of smokers and non-smokers with periodontitis: a retrospective study.

OBJECTIVES: Omega-3 supplementation as an adjunct to nonsurgical periodontal treatment has been reported to have a positive effect on healing in periodontitis patients. However, there is a lack of information on the effects of periodontal healing in smokers with periodontitis. The aim of this retrospective study was to investigate the effect of omega-3 supplementation given as an adjunct to nonsurgical periodontal treatment on clinical parameters in smoker and non-smoker periodontitis patients. METHODS: This study included a total of 80 periodontitis patients, 40 non-smokers and 40 smokers who were systemically healthy. In this study, patients were divided into 4 groups as follows: Group 1 (Subgingival instrumentation (SI) alone/nonsmoker), Group 2 (SI alone/smoker), Group 3 (SI + Omega-3/nonsmoker) and Group 4 (SI + Omega-3/smoker). Group 3 and 4 consumed 1320 mg Omega-3 capsule (640 mg EPA, 480 mg DHA) once a day for 3 months. Probing depth (PD), clinical attachment level (CAL), gingival index (GI), plaque index (PI) and bleeding on probing (BOP %) were recorded at baseline, 1 month and 3 months after treatment. RESULTS: Significant improvement of all clinical parameters at 1 and 3 months was observed in all groups. Whole mouth CAL, GI and BOP% were significantly reduced in group 4 compared to group 2 at 1 and 3 months postoperatively (p < 0.05). For moderately deep pockets (4-6 mm) and deep pockets (7 mm≤), PD and CAL reductions were significantly greater in groups taking omega - 3 (group 3 and group 4) compared to groups not taking omega-3 (group 1 and group 2) between baseline and 1 month and between baseline and 3 months (p ˂ 0.05). CONCLUSION: Omega-3 supplementation given as an adjunct to nonsurgical periodontal treatment provided significant benefit in the improvement of clinical parameters (especially for CAL and PD) in the short term in smokers and non-smokers with periodontitis. CLINICAL RELEVANCE: Nonsurgical periodontal treatment with omega-3 supplementation resulted in significant improvements in clinical parameters in smokers and non-smokers with periodontitis.

Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT study.

INTRODUCTION: Blood biomarkers for early detection of lung cancer (LC) are in demand. There are few studies of the full microRNome in serum of asymptomatic subjects that later develop LC. Here we searched for novel microRNA biomarkers in blood from non-cancer, ever-smokers populations up to eight years before diagnosis. METHODS: Serum samples from 98,737 subjects from two prospective population studies, HUNT2 and HUNT3, were considered initially. Inclusion criteria for cases were: ever-smokers; no known cancer at study entrance; 0-8 years from blood sampling to LC diagnosis. Each future LC case had one control matched to sex, age at study entrance, pack-years, smoking cessation time, and similar HUNT Lung Cancer Model risk score. A total of 240 and 72 serum samples were included in the discovery (HUNT2) and validation (HUNT3) datasets, respectively, and analysed by next-generation sequencing. The validated serum microRNAs were also tested in two pre-diagnostic plasma datasets from the prospective population studies NOWAC (n = 266) and NSHDS (n = 258). A new model adding clinical variables was also developed and validated. RESULTS: Fifteen unique microRNAs were discovered and validated in the pre-diagnostic serum datasets when all cases were contrasted against all controls, all with AUC > 0.60. In combination as a 15-microRNAs signature, the AUC reached 0.708 (discovery) and 0.703 (validation). A non-small cell lung cancer signature of six microRNAs showed AUC 0.777 (discovery) and 0.806 (validation). Combined with clinical variables of the HUNT Lung Cancer Model (age, gender, pack-years, daily cough parts of the year, hours of indoor smoke exposure, quit time in years, number of cigarettes daily, body mass index (BMI)) the AUC reached 0.790 (discovery) and 0.833 (validation). These results could not be validated in the plasma samples. CONCLUSION: There were a few significantly differential expressed microRNAs in serum up to eight years before diagnosis. These promising microRNAs alone, in concert, or combined with clinical variables have the potential to serve as early diagnostic LC biomarkers. Plasma is not suitable for this analysis. Further validation in larger prospective serum datasets is needed.

The association of early life factors with depression and anxiety in adults aged 40-69 years: a population-based cohort study.

This study was aimed to explore the longitudinal association of five early life factors (breastfeeding, maternal smoking around birth, birth weight, being born in a multiple birth, and adoption) during the in-utero, perinatal, and early childhood development stages with incidence of depression and anxiety in adults aged 40-69 years. We used data from the UK biobank, 5,02,394 participants aged 40-69 years were recruited between 2006 and 2010. Participants provided information on early life exposures through touchscreen questionnaires or verbal interviews at baseline. The primary outcomes, depression, and anxiety, were defined according to the International Classification of Diseases, 10th Revision. Hazard ratios (HR) and 95% confidence intervals (CI) for each factor were reported. During a median follow-up of 13.6 years, 16,502 (3.55%) participants developed depression, and 15,507 (3.33%) developed anxiety. After adjusting for potential confounders, increased risk of depression was found to be significantly associated with non-breastfeeding (HR, 1.08; 95% CI, 1.04-1.13), maternal smoking around birth (HR, 1.19; 95% CI, 1.14-1.23), being born in multiple births (HR, 1.16; 95% CI, 1.05-1.27), low birth weight (HR, 1.14; 95% CI, 1.07-1.22), and being an adoptee (HR, 1.42; 95% CI, 1.28-1.58). Increased risk of anxiety was associated with non-breastfeeding (HR, 1.09; 95% CI, 1.04-1.13), maternal smoking around birth (HR, 1.11; 95% CI, 1.07-1.16), being born in a multiple births (HR, 1.05; 95% CI, 0.95-1.17), low birth weight (HR, 1.12; 95% CI, 1.05-1.20), and being an adoptee (HR, 1.25; 95% CI, 1.10-1.41). Each of these five early life factors can be considered as early life risk factors for incident depression and anxiety in adulthood independently. The dose-response relationship was also observed, suggesting that with an increase in the number of early life risk factors, the likelihood of experiencing depression and anxiety also increased. These findings highlighted the imperative consideration of early life factors in comprehending the susceptibility to mental health disorders later in life, including non-breastfeeding, maternal smoking around birth, being born in multiple births, low birth weight, and being an adoptee.

Different modifiable risk factors for the development of non-advanced adenoma, advanced adenomatous lesion, and sessile serrated lesions, on screening colonoscopy.

The development of premalignant colorectal polyps is significantly influenced by various lifestyle and modifiable risk factors. In our study, we used a large cohort of 9025 patients, who underwent screening colonoscopies at a university hospital, to assess the risk factors associated with the development of three different colorectal cancer precursor lesions: non-advanced adenomas (NAs), advanced adenomatous lesions (ADLs), and sessile serrated lesions (SSLs). Among the participants, 3641 had NAs, 836 had ADLs, and 533 had SSLs. We identified obesity, current smoking, and appendicular skeletal muscle mass as modifiable lifestyle risk factors that increase the development of NAs and ADLs (all P < 0.05). Furthermore, we found a positive correlation between the degree of obesity and an increased risk of developing NAs and ADLs (all P for trend < 0.001), while non-smoking was associated with a decreased risk (P for trend < 0.001 and 0.003, respectively). Smoking was the only modifiable risk factor for developing SSLs (adjusted odds ratio [aOR] 1.58; 95% confidence interval [CI] 1.20-2.07), and the risk was even higher in patients with metabolic syndrome (aOR 1.71; 95% CI 1.05-2.77). Addressing modifiable lifestyle factors such as smoking and obesity could play an important role in reducing the risk of both non-advanced and advanced adenomatous lesions. Smoking cessation is especially important as it is a significant modifiable risk factor for sessile serrated lesions.