Tobacco Induced Diseases最新文献

Introduction: This study aims to estimate the prevalence and factors associated with cigarette smoking among patients in treatment for substance use disorders (SUD) in France.

Methods: We analyze a nation-wide dataset retrieving information on patients entering treatment for alcohol, opioid and stimulant use disorders between 2010 and 2020. We conduct multilevel Poisson regressions to determine the main factors associated with daily cigarette smoking among all patients who entered treatment for alcohol (n=607122), opioid (n=283381) or stimulant (n=57189) use disorders, and zero-truncated negative-binomial regressions to predict the average number of cigarettes per day.

Results: Daily cigarette smoking remains a widespread behavior among patients with SUD (overall prevalence: 72.2%, 95% CI: 72.1-72.3), with lower prevalence of daily cigarette smoking among patients treated for alcohol use disorders (69.9%, 95% CI: 69.8-70.0), and higher for patients treated for opioid (78.8%, 95% CI: 78.6-79.0) or stimulant use disorders (75.8%, 95% CI: 75.4-76.2). There was an overall increase in daily cigarette smoking over time (69.9%, 95% CI: 69.8-70.0 in 2010 vs 76.8%, 95% CI: 76.5-76.9 in 2020); however, the average number of cigarettes per day decreased (17.8 per day, 95% CI: 17.7-17.9 in 2010 vs 16.3 per day, 95% CI: 16.2-16.4 in 2020). The higher the education level, the fewer number of cigarettes per day; conversely, the higher the occupational status, the higher the number of cigarettes.

Conclusions: The high prevalence of smoking among patients treated for SUD in France departs from the decreasing trend observed in the general population and remains a source of concern. It is necessary to implement tailored prevention strategies that target specific patient subgroups and increase staff awareness.

Introduction: Liver injury is a primary factor in the pathogenesis of most liver diseases, which can lead to liver failure. Secondhand smoke (SHS) is a serious public problem. This research explored the correlation between SHS and the indicators of liver injury.

Methods: This cross-sectional study was based on the National Health and Nutrition Examination Survey (NHANES) 2011-2016. The relationship between SHS and indicators of liver injury was explored by the weighted linear regression model and smooth curve fitting. The weighted threshold saturation effect model tested the relationship and inflection point between them. Mediation analyses were used to explore whether body mass index (BMI) mediates the correlation between SHS and liver injury indicators.

Results: Our cross-sectional study included 3811 non-smoking participants (aged 20-80 years). The full covariate adjustment model (β= -0.05; 95% CI: -0.08 - -0.02) showed a significant and negative correlation between log cotinine and albumin (ALB). Compared to the unexposed group, the ALB, and total protein (TP) were decreased by 0.16 g/dL, 0.26 g/dL in the heavy exposure group [ALB: -0.16 (-0.26 - -0.05), TP: -0.26 (-0.38 - -0.13)], respectively. Smoothed curve fitting revealed a nonlinear relationship between log cotinine and fibrosis-4 index (FIB-4 score), with the inflection point of log cotinine at -1.72. When log cotinine was < -1.72, the log cotinine significantly and positively correlated with the FIB-4 score (β=0.27; 95% CI: 0.06-0.49). BMI partially mediated the effect of SHS exposure on ALB or TP.

Conclusions: SHS has harmful effects on the liver in never-smoking adults. BMI partially mediated the effect of SHS exposure on ALB or TP. More prospective and basic research in the future is necessary to focus on validating our results.

Introduction: The use of electronic cigarettes (ECs) has surged globally, particularly among young individuals. This study aimed to assess the perceptions of vaping-related oral health risks, clinical oral health status, and self-perceived dental and periodontal conditions among young adult users of ECs in Pakistan.

Methods: A cross-sectional study was conducted from June 2023 to March 2024, recruiting 142 young users of ECs. Intraoral examinations assessed Decayed, Missing, and Filled Teeth (DMFT) index, Oral Hygiene Index Simplified (OHI-S), Gingival Bleeding Index (GBI), Plaque Index (PI), and dental stain. Data on sociodemographic characteristics, oral health behaviors, vaping habits, and perceptions of impact of vaping on oral health were gathered through a self-administered questionnaire. Associations between EC use and various oral health variables were analyzed using the chi-squared and Fisher's exact tests.

Results: Mean DMFT was 5.66 (SD=2.20). Poor oral hygiene (29.6%) and severe dental staining were prevalent. Most participants (76.1%) brushed once daily, while only 34.5% attended regular dental check-ups. Gingival bleeding and plaque accumulation were observed in 47.2% and 35.3% of participants. Around 66% reported daily EC use, with 80.3% initiating vaping before the age of 18 years. Most common reason for vaping was perception that ECs are safer than traditional smoking (31.7%). Participants' perceptions of vaping-related oral health risks were relatively low, with 45% associating vaping with tooth decay, 48% with gum disease, and 58.5% with tooth staining. Tooth brushing frequency, vaping frequency (per day), and time since vaping started, were significantly associated with oral clinical indicators (p<0.05). The education level was the only variable significantly associated with vaping-related risk perception (p<0.05).

Conclusions: The study reveals that oral health awareness among young vapers is low, with many starting EC use at a young age and exhibiting poor oral health behaviors. Misconceptions about the safety of ECs compared to conventional cigarettes may contribute to increased vaping.

Introduction: Nicotine addiction is one of the most common forms of dependence. It is shown to be associated with many chronic diseases that develop mostly through smoking. The association between sleep quality and smoking or nicotine addiction has not been clarified yet. This study aimed to investigate the association between nicotine addiction and sleep quality.

Methods: In this cross-sectional study, the Epworth sleepiness scale (ESS), Pittsburgh sleep quality index (PSQI), Fagerström test for nicotine dependence (FTND), and Hospital anxiety-depression scale (HADS) were administered to patients who applied to the smoking cessation outpatient clinic of a reference hospital between April and June 2023. FTND measured nicotine dependence, and its association with sleep quality estimated by PSQI was assessed by binary logistic regression with the potential confounders.

Results: In the study group of 280 participants, 67.1% were male, and 57.8% had poor sleep quality. The median (IQR) FNTD score was 7.0 (3.0), and the median global PSQI score was 6.0 (5.0). Poor sleep quality increased by 1.12 times (AOR=1.12; 95% CI: 1.02-1.22, p=0.016) for each unit increase in hospital anxiety score and by 1.22 times (AOR=1.22; 95% CI: 1.05-1.42, p=0.011) for each unit increase in FTND score.

Conclusions: Increased nicotine dependence and anxiety are independently associated with poor sleep quality. The findings support smoking cessation efforts. It is recommended to study the effect of combating anxiety and tobacco addiction to improve sleep quality.

Introduction: Digital platforms serve as an avenue for the tobacco industry to promote both conventional tobacco and emerging products, with a notable focus on capturing the attention of young people through sophisticated marketing campaigns. This research aims to analyze the prevalence of different advertising strategies on digital platforms and to assess the impact of exposure to these strategies on the probability of use initiation and increased consumption of conventional tobacco and new tobacco products among young Spaniards.

Methods: An online survey was conducted on a representative sample of 1730 young Spaniards aged 16-21 years in November 2022 using a comprehensive approach, considering all possible relevant factors and perspectives regarding the issue of the study. A descriptive analysis and two adjusted logistic regression models were employed to explore the association of exposure to digital platforms with the likelihood of conventional tobacco and new tobacco product use among this population.

Results: Among the participants, 83.2% reported witnessing individuals smoking, 61.6% observed identifiable logos or explicit advertisements, and 77.6% encountered indirect product placement on social media. Notably, exposure to conventional tobacco product placement (AOR=1.71; 95% CI: 1.27-2.30) emerged as the variable most significantly associated with an increased probability of tobacco use. Furthermore, exposure to advertising related to new tobacco products (AOR=2.47; 95% CI: 1.90-3.21) was linked to a heightened likelihood of subsequent use. Similarly, the direct promotion of these novel products is also associated with a higher probability of conventional tobacco use (AOR=1.58; 95% CI: 1.21-2.07).

Conclusions: A reciprocal impact was identified, with the promotion of vaping being associated with an elevated probability of engaging in conventional tobacco smoking. Urgent attention is warranted for formulating public policies to mitigate the adverse effects of such insidious indirect advertising practices on digital platforms.

Introduction: The adverse effects of secondhand smoke (SHS) exposure on health have been well established. Using the NHMS 2002: Adolescent Health Survey (AHS), this study attempts to evaluate the extent and factors associated with SHS exposure among Malaysian school-going adolescents.

Methods: We conducted the NHMS 2022: AHS to gather a representative sample of school-age teenagers. We employed a cross-sectional study design and a multi-stage sampling procedure. We utilized a pre-validated self-administered questionnaire to collect data from the selected respondents. The data analysis included adjusted odds ratios (AORs) with 95% confidence intervals (95% CIs). Additionally, we investigated the possible two-way interactions between the independent variables.

Results: The SHS prevalence was 42.0%. Exposure to secondhand smoke (SHS) was associated with male gender (AOR=1.28; 95 CI: 1.20-1.38), older age (AOR=1.46; 95% CI: 1.33-1.60), Malay (AOR=1.88; 95% CI: 1.49-2.37), Bumiputra Sabah (AOR=2.23; 95% CI: 1.67-2.99), Bumiputra Sarawak (AOR=2.43; 95% CI: 1.80-3.28), and Chinese ethnicity (AOR=2.89; 95 CI: % 2.30-3.64), as well as current smoking (AOR=2.78; 95% CI: 2.50-3.09), having separated or divorced parents (AOR=1.12; 95% CI: 1.02-1.23), and parental tobacco product use (AOR=4.75; 95% CI: 4.44-5.08). We found significant interactions between: 1) Age group with gender and ethnicity; 2) Gender and ethnicity; and 3) Parental smoking status with gender, response to tobacco use, parents' marital status, and ethnicity.

Conclusions: Parental characteristics, sociodemographic characteristics, and SHS exposure are strongly correlated. In addition, there is evidence of smoking displacement to the house from other areas by parents/guardians. This study offers a fresh perspective on how these variables influence the likelihood of SHS exposure for Malaysian school-age teenagers. More efforts should focus on parental variables and sociodemographic traits, especially parental smoking cessation support.

Introduction: This descriptive study examined the relationship between body image perception and smoking status among women aged 19-64 years in Korea, using data from the Korea National Health and Nutrition Examination Survey (KNHANES).

Methods: This study is a secondary analysis of data gathered from the KNHANES between 2014 and 2020, encompassing 12515 women aged 19-64 years. The final study group consisted of 742 current smokers (CS), 132 hidden smokers (HS), and 11641 non-smokers (NS). Hidden smokers were defined as participants who reported being non-smokers but had urine cotinine levels >50 ng/mL. The participants were divided into three age categories: 19-29, 30-49, and 50-64 years. A multiple logistic regression analysis was used to assess the relationship between body image perception and smoking status, by age group.

Results: Baseline statistics indicated that smokers (both CS and HS) generally had a lower socioeconomic status across all age groups. The highest rate of obesity perception was observed in the CS group, followed by the HS group, in both groups of women aged 19-29 and 30-49 years. However, only women aged 19-29 years in the CS group were more likely to perceive themselves as obese than those in the NS group (AOR=2.60; 95% CI: 1.49-4.52; p=0.001). Furthermore, factors such as current smoking status (AOR=2.32; 95% CI: 1.28-4.23; p=0.006), higher body mass index (AOR=2.95; 95% CI: 2.59-3.37; p<0.001), and perceived health status as poor (AOR=3.82; 95% CI: 2.11-6.92; p<0.001), significantly influenced the perception of obesity in this age group.

Conclusions: This study identified a notable relationship between obesity perception and smoking among women aged 19-29 years only. These findings suggest that interventions aimed at weight reduction or modifying the perception of obesity, could potentially aid smoking cessation efforts in young women.

Introduction: Although a substantial body of research has analyzed the effectiveness of cigarette package warning labels in tobacco control, the very general health warnings messages (HWMs) on cigarette packaging in China have shown limited effectiveness in deterring youth from smoking. Therefore, this study investigates the impact of specific and more detailed warning text messages on Chinese young people's risk perception of smoking and their intention to quit.

Methods: We employed a randomized survey experiment to examine the impact of specific text-based warning labels on Chinese young people's risk perception of smoking and intention to quit. The total effective sample size was 1064 participants. The subjects were divided into three groups: the first group served as the control group, which was shown the existing cigarette package warning labels; the second group was shown cigarette package warning labels related to cardiovascular, digestive, and respiratory diseases; and the third group was shown cigarette package warning labels related to sexual dysfunction.

Results: The respiratory disease-related warnings significantly increased young people's awareness of smoking-related respiratory risks (p<0.01). The impact of warning labels for the three common diseases on enhancing young people's overall risk perception of smoking (p<0.05) and their intention to quit exhibited only weak statistical significance (p<0.05). In contrast, warning labels related to sexual dysfunction significantly increased young people's risk perception of smoking (p<0.001) and their intention to quit (p<0.001), with a much higher level of statistical significance compared to those related to the other three common diseases.

Conclusions: Detailed descriptions of the risks associated with all four diseases were positively correlated with awareness of smoking-related harm and the intention to quit. However, warnings related to sexual dysfunction had a greater level of statistical significance compared to those related to the other three common diseases. This stronger significance may be attributed to young people's heightened concern about sexual dysfunction.

Introduction: The global rise in e-cigarette use among adolescents is alarming, with associated socioeconomic inequalities posing potential public health risks. This study examined trends in the socioeconomic inequality in e-cigarette use among South Korean adolescents to inform future regulatory directions.

Methods: Socioeconomic inequalities in e-cigarette use among Korean adolescents were assessed using data from the Korea Youth Risk Behavior Web-based Survey (KYRBS) from 2011 to 2023. The Concentration Index, a well-established method for measuring health inequalities, was employed. Additionally, this study investigated how the smoking behaviors of family members and friends influence socioeconomic inequality in e-cigarette use among Korean adolescents, using a decomposition analysis.

Results: The Concentration Index values showed a clear, fluctuating downward trend over 13 years, from -0.12 (95% CI: -0.13 - -0.10) in 2011 to -0.24 (95% CI: -0.26 - -0.21) in 2023. Decomposition analysis revealed that smoking among peer groups, including friends and siblings, was the primary contributor to socioeconomic inequality in e-cigarette use, followed by maternal smoking.

Conclusions: Socioeconomic inequalities in adolescent e-cigarette use in South Korea are widening, particularly among low socioeconomic status groups. The impact of peer groups on socioeconomic inequalities in e-cigarette use among adolescents is concerning.

Introduction: Unassisted smoking cessation (USC) is a method of quitting smoking driven by self-determination without the support of professional cessation assistance. This approach may contribute to a potential decrease in overall smoking prevalence within a population. However, the factors potentially influencing smokers' choice of USC and their success remain unclear. This study examined the associations between mental stress and USC choice and success.

Methods: Between June and September 2016, a cross-sectional multistage sampling design was used to interview subjects from six selected cities in China. A standardized questionnaire was used to obtain information on sociodemographic characteristics, USC choice, and success. Mental stress was measured by the Chinese version of the Perceived Stress Scale (CPSS). Multivariate logistic regression models were used to examine the association between mental stress, USC choice, and success, with adjustments for relevant covariates.

Results: Among 1647 smokers who had attempted or had quit, 91.6% (95% CI: 90.9-97.5) reported that they had done so without assistance, and 42.1% (95% CI: 32.4-61.3) of them achieved abstinence. While mental stress was not significantly associated with USC success (χ²=2.02, p=0.1547), smokers experiencing high levels of mental stress were 0.34 times less likely (95% CI: 0.23-0.50) to attempt USC compared to those with low levels of mental stress. Moreover, a significant negative linear association was observed between varying levels of mental stress and the prevalence of USC use (R²=0.910, p<0.001).

Conclusions: The study findings should help to understand USC and its role in reducing smoking prevalence in the Chinese population. These findings can inform future tobacco control programs and policies in China. Government and social agencies should prioritize understanding smokers' preferences for USC and providing USC services to promote success within the population.