Cigarette Smoking and Multiple Health Risk Behaviors: A Latent Class Regression Model to Identify a Profile of Young Adolescents

Seroprevalence of Hepatitis C Virus and Factors Associated with It in Armenia, 2021

Hepatitis C virus (HCV) infection is among the leading causes of cirrhosis and hepatocellular carcinoma. Knowledge of its prevalence and risk factors can help to effectively fight the virus. This study was the first to investigate the seroprevalence of HCV, its genotypes, and factors associated with it among the general adult population of Armenia selected countrywide via cluster sampling. Anti-HCV antibodies were detected using third-generation immunoassay. Polymerase chain reaction and genotyping was performed among anti-HCV-positive individuals. Shortly after testing, the participants underwent a telephone survey. Logistic regression models were fitted to identify factors associated with anti-HCV antibody positivity and chronic HCV infection. The prevalence of anti-HCV antibodies among 3831 tested individuals was 2% (99% CI 1.4, 2.5), and chronic HCV infection was 0.7% (99% CI 0.4, 1.0), with genotypes 3 and 2 being the most common. The risk factors for chronic HCV infection included self-reported chronic liver disease (95% CI 1.47, 15.28), having tattoos (95% CI 1.34, 10.94), ever smoking (95% CI 1.16, 9.18), and testing positive for hepatitis B virus core antibody (95% CI 1.02, 7.17). These risk factors demonstrate that there could be room for strengthening infection control measures to prevent the transmission of HCV in Armenia.

Prevalence and Sociodemographic Correlates of Smoking among Schoolchildren in Albania

Smoking among children remains a critical public health issue, with millions of minors engaging in tobacco use, leading to addiction and long-term health consequences. Our objective was to assess the prevalence and sociodemographic distribution of smoking habits among Albanian children. A cross-sectional study was conducted in Albania in 2022, including a nationwide representative sample of 5454 schoolchildren aged 11, 13, and 15 years (N = 5454; ≈52% girls; response rate: 96%). Data on smoking habits were gathered, along with sociodemographic factors of schoolchildren. Binary logistic regression was used to assess the associations of smoking variables with sociodemographic factors. The prevalence of smoking variables was 12% for lifetime cigarette smoking, 7% for current cigarette smoking, 20% for lifetime smoking of e-cigarettes, and 13% for current smoking of e-cigarettes. Independent positive correlates of both cigarette and e-cigarette smoking included male gender, age 15, and pertinence to more affluent families (all p < 0.01). The prevalence of smoking among Albanian children is seemingly high, which should be a cause of serious concern to decisionmakers and policymakers in this transitional country. Albania should immediately consider the implementation of expanded comprehensive tobacco control measures, which will save lives, reduce illness, and help reduce the economic burden associated with tobacco-related illness.

Can we predict adolescent cannabis use? A Bayesian semi-parametric approach to project future trends

Despite its decrease in many Western countries, cannabis remains the most used illicit substance among adolescents. This study aims to summarize cannabis consumption during the last two decades and project trends among 15-year-olds in the 2021-22 HBSC survey. A Bayesian semi-parametric hierarchical model was adopted to estimate the trend of cannabis consumption using data of about 287,000 adolescents from the 2001/2002 to the 2017/2018 HBSC wave and the 38 countries that met the inclusion criteria. Data show an overall decline in most countries for both boys and girls. However, in 22 countries of 38 cannabis use is expected to increase again in our projection. The discussion of these findings should take into account cultural, policy, social factors and unpredictable events such as the Covid-19 pandemic, that can significantly impact future trends leading to discrepancies between the projected and observed values. However, these discrepancies can provide insight into understanding the potential impact of preventive strategies and the underlying processes responsible for changes in cannabis use over time.

Prevalence of Tobacco Products' Use and Associated Factors Among Adolescents in Morocco: A Systematic Review

Introduction

Tobacco use is the major preventable cause of premature death worldwide, responsible for about 8 million deaths per year, mostly in low- and middle-income countries, such as Morocco. Adolescents' tobacco use is a matter of concern, because early initiation increases the risk of becoming a lifelong user. There exists a notable gap in the synthesis of evidence concerning tobacco use among Moroccan adolescents. Thus, the purpose of this study was to provide a comprehensive view of the prevalence of tobacco products' use and associated factors among adolescents in Morocco.

Methods

We systematically searched PubMed, Scopus, Web of Science and ScienceDirect for relevant studies reporting prevalence rates of tobacco products' use among Moroccan adolescents, published until June 2024, using inclusion and exclusion criteria in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Additional searches were completed on other sources to reach unpublished reports. The Joanna Briggs Institute Critical Appraisal Checklist was used to assess the quality of included studies.

Results

After the final screening, 22 papers met the inclusion criteria. Life-time prevalence of tobacco use ranged from 7.8% to 20.4% for cigarettes smoking, from 10.6% to 21.9% for waterpipe, from 7.9% to 9.1% for chewing tobacco and from 9.2% to 12.4% for snuff. The last 12-month prevalence of cigarette smoking was comprised between 6.9% and 10.8%. As for the prevalence of current use, ranges of (1.8%-16.4%) and (4.9%-8.4%) were noted for cigarettes and waterpipe, respectively. The most commonly highlighted risk factors for tobacco use included male sex, older age, having friends or family members who use tobacco and low perception of risk associated with tobacco use.

Conclusion

Our findings reveal an alarming situation of tobacco use among Moroccan adolescents. Therefore, it is crucial that all stakeholders engage in concerted efforts to develop and implement evidence-based preventive interventions among early adolescents.

Risk Behaviors among Migrant Adolescents in Italy

Adolescence is a critical period for engaging in health risk behaviors. Migrant adolescents may face unique challenges due to acculturation stress. This study aims to monitor substance use and problem gambling among migrant adolescents living in Italy. Data from the 2017/18 Health Behavior in School-Aged Children survey in Italy were analyzed. The 18,794 participants included 15-year-olds, categorized as native or migrants, with ethnic backgrounds from Western, Eastern European, or non-Western/non-European countries. Girls had higher smoking rates, while boys exhibited higher prevalence of alcohol-related risk behaviors, cannabis use, and gambling. Boys from Eastern European countries displayed a greater risk of drunkenness (OR: 1.58, 95% CI: 1.06-2.37), particularly in the first generation, while those from Western countries showed a higher risk of multiple substance use (OR: 1.44, 95% CI: 1.05-1.96). Girls from Eastern European and non-Western/non-European countries had a lower risk of alcohol consumption (OR: 0.50, 95% CI: 0.29-0.85; OR: 0.55, 95% CI: 0.33-0.91, respectively). Finally, boys, especially those from Eastern European and non-Western/non-European countries, had a significantly higher risk of problem gambling (OR: 1.83, 95% CI: 1.04-3.22; OR: 2.10, 95% CI: 1.29-3.42, respectively). This disparity was more pronounced in the first generation, possibly due to acculturation challenges and socio-economic factors. Risk behaviors in adolescents are influenced by complex interplays of gender, cultural factors, and migration generation. Preventive strategies should consider these factors to effectively address substance use and gambling in this heterogeneous population.

Age of Smoking Initiation in Relation to Multiple Health Risk Factors among US Adult Smokers: National Health Interview Survey (NHIS) Data (2006-2018)

The adverse effects of multiple health risk factors have been well-documented; however, still understudied are the effects of early smoking in the context of multiple health risk factors. This study aimed to examine the role of early smoking initiation in relation to several health risk factors, including heavy drinking, physical inactivity, and obesity in later life among ever smokers in the USA. The National Health Interview Survey (NHIS) data from 2006 through 2018 were analyzed. The primary dependent variables were presence of three other risk factors: heavy drinking, physical inactivity, and obesity. The independent variable was the age of smoking initiation. Logit regression models were constructed to evaluate the association between smoking initiation and multiple health risk factors. All analyses were done in 2022. Among US adult smokers, 18.2% started smoking before age 15 (early initiators), 55.9% at ages 15-18 (middle initiators), and 25.9% at age 20 or later (late initiators). Compared to late smoking initiators, the odds of engaging in additional health risk factors increased by 37.3% among early initiators (OR = 1.373, 95% CI = 1.316, 1.432) and 7.7% among middle initiators (OR = 1.077, 95% CI= 1.041, 1.116). Additionally, current smoking was associated with higher odds (OR = 1.369, 95% CI = 1.322, 1.417) of having additional health risk factors compared to former smoking, with one exception: current smokers had lower odds of obesity (OR = 0.566, 95% CI = 0.537, 0.597). Tobacco control programs to prevent adolescents from initiating smoking may have the potential to prevent other health risk factors in adulthood.

Forecasting Frequent Alcohol Use among Adolescents in HBSC Countries: A Bayesian Framework for Making Predictions

(1) Aim: To summarize alcohol trends in the last 30 years (1985/6–2017/8) among 15-year-olds in Health Behaviour in School-aged Children (HBSC) countries (overall sample size: 413,399 adolescents; 51.55% girls) and to forecast the potential evolution in the upcoming 2021/22 HBSC survey. (2) Methods: Using 1986–2018 prevalence data on weekly alcohol consumption among 15-year-olds related to 40 HBSC countries/regions, a Bayesian semi-parametric hierarchical model was adopted to estimate trends making a clusterization of the countries, and to give estimates for the 2022 HBSC survey. (3) Results: An overall declining trend in alcohol consumption was observed over time in almost all the countries. However, compared to 2014, some countries showed a new increase in 2018 and 2021/22 estimates forecast a slight increase in the majority of countries, pointing out a potential bounce after a decreasing period in frequent drinking habits. (4) Conclusions: The clusterization suggested a homogenization of consumption habits among HBSC countries. The comparison between 2022 observed and expected data could be helpful to investigate the effect of risk behaviour determinants, including the pandemic impact, occurring between the last two waves of the survey.

Identifying Cardiovascular Risk Profiles Clusters among Mediterranean Adolescents across Seven Countries

Cardiovascular diseases (CVDs) are the number one cause of death globally and are partially due to the inability to control modifiable lifestyle risk factors. The aim of this study was to analyze the profiles of adolescents from seven Mediterranean countries (Greece, Israel, Italy, Macedonia, Malta, Portugal, Spain) according to their modifiable lifestyle risk factors for CVD (overweight/obesity, physical activity, smoking, alcohol consumption). The sample consisted of 26,110 adolescents (52.3% girls) aged 11, 13, and 15 years who participated in the Health Behavior in School-aged Children (HBSC) survey in 2018 across the seven countries. Sociodemographic characteristics (sex, age, country of residence, socioeconomic status) and CVD modifiable lifestyle risk factors (overweight/obesity, physical activity, smoking, alcohol consumption) were recorded. A two-step cluster analysis, one-way analysis of variance, and chi-square test were performed. Four different cluster groups were identified: two low-risk groups (64.46%), with risk among those with low physical activity levels; moderate-risk group (14.83%), with two risk factors (unhealthy weight and low physical activity level); and a high-risk group (20.7%), which presented risk in all modifiable lifestyle risk factors. Older adolescents reported a higher likelihood of being in the high-risk group. Given that the adolescence period constitutes an important time for interventions aimed at CVD prevention, identifying profiles of moderate- and high-risk adolescents is crucial.

Patterns of six behaviors and psychosomatic symptoms in adolescents: A six-province study in China

BACKGROUND

Psychosomatic symptoms are often related with behaviors. However, the association between different behaviors and their latent patterns and psychosomatic health status is unclear. Current study aimed to identify the patterns of six behaviors and explore the association between different patterns and psychosomatic symptoms in a school-based sample of Chinese adolescents.

METHODS

From November 2015 to January 2016, the study enrolled 22,628 students from six cities in China (15.36 ± 1.79 years). Six behaviors [unintentional injury (UI), non-suicidal self-injury (NSSI), suicidal behaviors (SB), drinking, smoking, screen time (ST)] and psychosomatic symptoms (psychological and physical symptoms) were measured by self-report validated questionnaires.

RESULTS

Six behaviors were all related to psychosomatic symptoms, among which SB was the strongest. Four patterns of behaviors were be identified as follows: low-risk pattern (64.0%), substance use pattern (4.5%), injury pattern (28.8%) and high-risk pattern (2.7%). Logistic regression analysis of psychological symptoms indicated that compared with low-risk pattern, high-risk pattern had the highest risk, followed by injury pattern, substance use pattern showed the lowest risk. Compared with low-risk pattern, the results of physical symptoms suggested the degree of risk was high-risk pattern, injury pattern and substance use pattern, respectively.

LIMITATIONS

Cross-sectional data were used in the study that could not evaluate causal relationships between six behaviors and psychosomatic symptoms.

CONCLUSIONS

Six behaviors and their latent patterns are related to psychosomatic symptoms among Chinese adolescents differently, so different intervention and prevention protocol need to be taken for different patterns of adolescents.

Alcohol use, cigarette smoking, vaping and number of sexual partners: A cross-sectional study of sexually active, ethnically diverse, inner city adolescents

Context

There are few UK data on the prevalence and clustering of risky behaviours in ethnically diverse adolescents.

Objectives

To investigate the prevalence of reported alcohol use, smoking and vaping, and explore whether these behaviours are associated with increased numbers of sexual partners.

Design

Questionnaire survey of ‘Test n Treat’ chlamydia screening trial participants.

Setting and participants

Sexually active students attending six London technical colleges completed confidential questionnaires and provided genitourinary samples.

Results

The median age of the 509 participants was 17 years (IQR: 16‐18), 47% were male, 50% were of black ethnicity, 55% reported ≥2 sexual partners in the past year (67% of males and 45% of females) and 6.2% had chlamydia infection and 0.6% gonorrhoea. Almost half (48%) reported getting drunk in the past month, 33% smoked cigarettes and 7% had ever vaped.

A larger percentage of students with ≥2 sexual partners than 0‐1 partners reported getting drunk in the past month (53.7%, 144/268% versus 42.2% 94/223, adjusted prevalence ratio: 1.33, 95% confidence interval: 1.11‐1.61) and smoking cigarettes (36.6%, 100/273% versus 30.2%, 67/222, 1.34 (1.05‐1.70)). By contrast, multiple sexual partners were not associated with vaping or chlamydia infection, but numbers were small.

Conclusions

We found high prevalences of risky behaviour and an association between multiple sexual partners and smoking and/or getting drunk. Findings support the introduction of compulsory sex and relationship education in UK secondary schools, including information about the adverse effects of alcohol and smoking.

Public contribution

Participants helped with study design, conduct and interpretation.

Previsit Multidomain Psychosocial Screening Tools for Adolescents and Young Adults: A Systematic Review

Adolescence and young adulthood constitute a period when exploratory behaviors can evolve into risky behaviors. Most causes of adolescent ill health are preventable; therefore, it is a priority to detect them early before they turn into health problems. Previsit multidomain psychosocial screening tools are used by professionals to detect and prioritize potentially problematic issues. In conjunction with appropriate clinician training, these tools have improved clinician screening rates in several areas of adolescent health. This article reviews existing multidomain previsit psychosocial screening tools developed in the 21st century and describes their characteristics using a systematic methodology. We reviewed 10,623 records to identify 15 different tools in use since 2000 and described their characteristics. Results show that all tools were developed in high-income countries. The tools provide sufficient coverage of many psychosocial domains relevant to young people's health. However, some psychosocial domains such as screen use and strengths are seldomly addressed. Furthermore, the tools rarely focus on young adults as a target population. Future research should assess the effectiveness, acceptability, and psychometric properties of validated psychosocial screening tools and examine how to expand their use in low- and middle-income countries.

Smoking as a weight control strategy of Serbian adolescents

OBJECTIVES

The objective is to determine association of age, gender, BMI, body image (body satisfaction, body appearance), depression, unhealthy weight control behaviors with smoking among Serbian adolescents and specifically association of these variables with smoking for weight control among adolescent smokers.

METHODS

This is a secondary analysis of data collected from 2763 students aged 13-15 years old (49.9% boys; 50.1% girls) obtained through cross-sectional Health Behavior in School-aged Children Survey conducted in Serbia in 2018 and analyzed using multivariable logistic regression.

RESULTS

In Serbia, 12.9% adolescents 13-15 years old smoke and 6.6% smoke for weight control, while this practice was present among 48.8% of the smokers. Higher odds of smoking were found among adolescents who perceive themselves thin and good looking, while these two factors didn't play role for the smoking for weight control among smokers. Depression and unhealthy weight control behavior other than smoking significantly predicted smoking and smoking for weight control. Gender was not associated with smoking in adolescents, but among adolescent smokers, boys had two times higher chance compared to girls to report smoking for weight control.

CONCLUSIONS

Findings call for incorporating and strengthening interventions for adolescents' weight control management and mental health as part of smoking prevention and cessation programs.

Trends in Tobacco Use among Children and Adolescents in Israel, 1998-2015

OBJECTIVES

This study aims to measure trends in cigarette smoking among children and adolescents in Israel, focusing on school grade, sex, and ethnicity. We hypothesized that smoking would be higher among boys and Arab-Israelis, rates would grow with age, and there would be a decline over time.

METHODS

Data were derived from the Health Behavior in School-aged Children study between 1998 and 2015 in Israel. The total sample included 56,513 students in grades 6, 8, and 10, with 29,411 girls and 27,102 boys. Descriptive analysis described trends of smoking behavior according to grade, sex, ethnicity, family affluence, and year of study. multivariate logistic regression analysis examined predicting variables.

RESULTS

Smoking was higher among boys in all grades, ethnic groups, and years of study, with the highest frequencies among Arab-Israelis. Trends over the years show a decline from 1998 to 2004, followed by an increase for both sexes. The increase was more prominent among girls. Logistic regression analysis revealed strong associations between smoking and grade, sex, ethnicity, and year of study.

CONCLUSIONS

The results of this study can significantly enhance the development and implementation of smoking prevention and control programs among students in Israel.

Determinants of Smoking Status in a Sample of Outpatients Afferent to a Tertiary Referral Hospital

The identification of determinants of attempts to quit smoking and quitting smoking success is crucial for effective smoking prevention and/or cessation programs. Thus, here we have conducted a survey to determine the sociodemographic characteristics of tobacco use and the potential determinants of quitting smoking among a population of 140 subjects—101 smokers and 39 ex-smokers—referred to our clinic for respiratory diseases. Subject characteristics included demographic data, employment and education status, respiratory disease family history, smoking habits, life habits, diet, alcohol intake, and physical activity. In comparison with former smokers, active smokers were younger, lived with at least one smoking family member, and were more frequently exposed to passive smoke. They also displayed a higher coffee consumption, a higher frequency of in-between-meal snacks, and a lower chronic obstructive pulmonary disease (COPD) prevalence. In comparison with subjects who had never attempted to quit smoking, individuals who had attempted to quit smoking were younger, had a lower pack-year median, consumed a higher amount of coffee and alcohol, and conducted regular physical activity. Determinants of successful smoking cessation were older age, lower passive smoking exposure and daily coffee intake, and COPD diagnosis. Overall, our findings underscore the importance of health education in fostering successful smoking cessation in respiratory disease patients.