Age-dependent effects of tobacco smoke and nicotine on cognition and the brain: A systematic review of the human and animal literature comparing adolescents and adults

[Use of tobacco cigarettes, e-cigarettes, and shishas among children and adolescents: Results of the 'Präventionsradar' from 2016 to 2023]

AIM

To measure trends in the use of various smoking products among children and adolescents from 2016 to 2023.

METHOD

The data is based on seven waves of the "Präventionsradar", a school-based epidemiological study in grades 5 to 10. The primary endpoints of the study were the lifetime and monthly prevalence of the use of tobacco cigarettes, e-cigarettes, shisha and the use of at least two of these smoking products (combined use). Prevalence estimates are based on logistic regression models.

RESULTS

The analysis was based on 94,127 questionnaires. The sex ratio was balanced (49% female), mean age was 13 years (SD=1.8). In 2022/2023, the lifetime prevalence of smoking tobacco cigarettes was 18.8% (95% CI 18.1-19.5), of e-cigarettes 23.5% (95% CI 22.8-24.3), of shisha 14.0% (95% CI 13.4-14.7) and combined use 19.0% (95% CI 18.3-19.7). The monthly prevalence of smoking tobacco cigarettes was 5.9% (95% CI 5.5-6.4), of e-cigarettes 7.0% (95% CI 6.5-7.4), of shisha 3.2% (95% CI 2.8-3.5) and combined use 4.8% (95% CI 4.4-5.2). The following trends in lifetime prevalence have emerged since 2016: tobacco cigarettes (-3.0 percentage points), e-cigarettes (+1.8 percentage points), shisha (-9.2 percentage points), combined use (-2.7 percentage points). In the years of the COVID-19 pandemic, youth smoking decreased and rose again post-COVID with the exception of shisha.

DISCUSSION

The use of smoking products in adolescence occurs frequently. Over the observational period, a trend reversal towards e-cigarettes as the most popular product among children and young people is most likely. In addition, the combined use of several smoking products has become a common pattern of consumption. Consistent preventive measures are required in order to achieve the goal of a smoke-free society in 2040.

[Smoking in Netflix feature films and youth protection]

BACKGROUND

With the aim of protecting minors, the World Health Organization has recommended classifying films with smoking scenes as unsuitable for children and adolescents. In recent years, films have increasingly been viewed via video streaming services - a trend which has been intensified by the COVID-19 pandemic - which poses new challenges for the protection of minors.

AIM

To examine the frequency of smoking scenes in Netflix feature films and the age recommendations for Netflix productions with smoking scenes.

METHOD

A total of 235 films that were made available for streaming exclusively by the Netflix platform in 2021 and 2022 were content coded in order to find out (1) how high the proportion of smoke-free films was in this film sample, (2) how often smoking scenes occurred in these films and (3) the proportion of films with smoke scenes classified as appropriate for young people in Germany and the USA. All films with an age rating of under 16 were considered suitable for children and young people.

RESULTS

Smoking scenes occurred in 113 of 235 analyzed films (48.1%). Of the 113 films with smoking scenes, 57 (50.4%) in Germany and 26 films (23.0%) in the USA were classified as youth films (p<0.001). A total of 3,310 smoking scenes were registered. Of these, 39.4% (n=1,303) were in films with youth ratings in Germany, and in Netflix USA this proportion was 15.8% (n=524).

DISCUSSION

Smoking scenes are a common feature in Netflix movies. Neither in the US nor in Germany does Netflix adhere to the recommendations of the WHO Framework Convention on Tobacco Control to restrict access by young people to films depicting smoking. However, the protection of minors in the US is better than in Germany, since half of the Netflix films with smoking scenes in Germany were rated as suitable for minors, in the USA less than a quarter.

Smoking in Popular Streaming Shows and Youth Protection in Germany

Aim was to investigate the amount of smoking in popular streaming series in Germany with a focus on the comparison between series recommended for adults versus youth. The sample was drawn from the 35 highest user-rated streaming series, that released 1794 new episodes between January 1, 2017 and December 31, 2020. One-third of the episodes (N = 598) were randomly selected and analyzed for smoking content. The age ratings of these episodes ranged from 6 to 18 years, with categories of "6", "12", "16" and "18" years. Ten of the 35 shows (28.6%) were completely smoke-free, 25 shows (71.4%) had at least one episode with smoking. Of all analyzed episodes, 25.1% contained smoking (range = 1 to 36 smoking scenes; median = 4). There was a statistically significant association between episode age rating and the presence of smoking (χ2[3] = 9.1; p = 0.028; Spearman's rho = 0.11): The proportion of episodes with smoking was 0% for episodes with age ratings below 12 years, 20.4% for age ratings "12", 28.3% for age ratings "16", and 32.4% for age ratings "18". This association differed between streaming services, but all services had smoking in episodes rated for youth. Smoking is common in popular streaming series. None of the streaming services meet the recommendations of the WHO Framework Convention on Tobacco Control to reliably restrict young people's access to media content that depicts smoking.

Regional socioeconomic deprivation in Germany and nicotine use among children and adolescents

To assess the association of regional socioeconomic deprivation and nicotine use, survey data from 17,877 pupils aged 9-17 years were analysed. Lifetime use of combustible, e-cigarettes, and both products were the outcome variables. The German Index of Socioeconomic Deprivation was the exposure variable. Logistic regression models controlling for age, gender, school type, and sensation seeking were used to examine associations between regional socioeconomic deprivation and nicotine use. Ever use of combustible cigarettes was 17.8%, of e-cigarettes 19.6%, and of both products 13.4%. Compared to the most affluent area, the adjusted odds ratio of combustible cigarette use in the most deprived area was 2.24 (95% CI: 1.67-3.00), of e-cigarette use 1.56 (95% CI: 1.20-2.03), and of poly use 1.91 (95% CI: 1.36-2.69). Nicotine use among young people across ages and especially in socioeconomic-deprived areas was widespread. Nicotine control measures are urgently needed to reduce smoking and vaping in German adolescents.

Early developmental risks for tobacco addiction: A probabilistic epigenesis framework

Considerable progress has been made in elucidating the relationships between early life psychobiological and environmental risk factors and the development of tobacco addiction. However, a comprehensive understanding of the heterogeneity in tobacco addiction phenotypes requires integrating research findings. The probabilistic epigenesis meta-theory offers a valuable framework for this integration, considering systemic, multilevel, developmental, and evolutionary perspectives. In this paper, we critically review relevant research on early developmental risks associated with tobacco addiction and highlight the integrative heuristic value of the probabilistic epigenesis framework for this research. For this, we propose a four-level systems approach as an initial step towards integration, analyzing complex interactions among different levels of influence. Additionally, we explore a coaction approach to examine key interactions between early risk factors. Moreover, we introduce developmental pathways to understand interindividual differences in tobacco addiction risk during development. This integrative approach holds promise for advancing our understanding of tobacco addiction etiology and informing potentially effective intervention strategies.

Patterns of Daily Cigarette and E-cigarette Use among United States Youth and Young Adults: Insights from the Truth Longitudinal Cohort between 2018 and 2019

Purpose

Temporal patterns of daily tobacco product use among ever users from the Truth Longitudinal Cohort (TLC) between 2018 and 2019 were explored.

Methods

The sample (N = 5274) includes individuals (15-36 years), residing in the United States, who had ever used any tobacco product at Wave 7 (February - May 2018) and provided tobacco use information at Wave 9 (September - December 2019).

Results

There was a nonsignificant 1.1 percentage point increase in daily tobacco use (on at least 25 of the past 30 days), from 14.6% (95% CI: 12.8, 16.6) to 15.7% (95% CI: 13.8, 17.7). Tobacco product use remained stable over time, as 65.3% (95% CI: 56.4, 73.3) of daily cigarette smokers, 57.0% (95% CI: 43.6, 69.4) of daily e-cigarette vapers, and 8.5% (95% CI: 2.0, 29.3) of daily dual users stayed with their primary tobacco product. There was also some evidence of switching, as 7.5% (95% CI: 3.7, 14.8) of daily cigarette smokers became daily e-cigarette vapers and 2.3% (95% CI: 0.7, 6.8) of daily e-cigarette vapers became daily cigarette smokers.

Discussion

Although most daily tobacco users were likely to continue using their primary product, some daily users transitioned to daily use of other products - suggesting that policies and public education focused on reducing overall nicotine use are essential for addressing the nicotine epidemic among young people.

[Use of tobacco cigarettes, e-cigarettes, and shishas among children and adolescents: Results of the 'Präventionsradar' from 2016 to 2023]

AIM

To measure trends in the use of various smoking products among children and adolescents from 2016 to 2023.

METHOD

The data is based on seven waves of the "Präventionsradar", a school-based epidemiological study in grades 5 to 10. The primary endpoints of the study were the lifetime and monthly prevalence of the use of tobacco cigarettes, e-cigarettes, shisha and the use of at least two of these smoking products (combined use). Prevalence estimates are based on logistic regression models.

RESULTS

The analysis was based on 94,127 questionnaires. The sex ratio was balanced (49% female), mean age was 13 years (SD=1.8). In 2022/2023, the lifetime prevalence of smoking tobacco cigarettes was 18.8% (95% CI 18.1-19.5), of e-cigarettes 23.5% (95% CI 22.8-24.3), of shisha 14.0% (95% CI 13.4-14.7) and combined use 19.0% (95% CI 18.3-19.7). The monthly prevalence of smoking tobacco cigarettes was 5.9% (95% CI 5.5-6.4), of e-cigarettes 7.0% (95% CI 6.5-7.4), of shisha 3.2% (95% CI 2.8-3.5) and combined use 4.8% (95% CI 4.4-5.2). The following trends in lifetime prevalence have emerged since 2016: tobacco cigarettes (-3.0 percentage points), e-cigarettes (+1.8 percentage points), shisha (-9.2 percentage points), combined use (-2.7 percentage points). In the years of the COVID-19 pandemic, youth smoking decreased and rose again post-COVID with the exception of shisha.

DISCUSSION

The use of smoking products in adolescence occurs frequently. Over the observational period, a trend reversal towards e-cigarettes as the most popular product among children and young people is most likely. In addition, the combined use of several smoking products has become a common pattern of consumption. Consistent preventive measures are required in order to achieve the goal of a smoke-free society in 2040.

The Longevity Protein Klotho: A Promising Tool to Monitor Lifestyle Improvements

Aging is not a disease; it is a natural evolution of human physiology. Medical advances have extended our life expectancy, but chronic diseases and geriatric syndrome continue to affect the increasingly aging population. Yet modern medicine perpetuates an approach based on treatment rather than prevention and education. In order to help solve this ever-growing problem, a new discipline has emerged: lifestyle medicine. Nutrition, physical activity, stress management, restorative sleep, social connection, and avoidance of risky substances are the pillars on which lifestyle medicine is founded. The aim of this discipline is to increase healthspan and reduce the duration of morbidity by making changes to our lifestyle. In this review, we propose the use of klotho protein as a novel biomarker for lifestyle medicine in order to quantify and monitor the health status of individuals, as no integrative tool currently exists.

Urinary nicotine metabolites are associated with cognitive impairment among the elderly in southern China

INTRODUCTION

This study comprehensively assessed the association between eight metabolites of urinary nicotine and cognitive impairment.

METHODS

This cross-sectional study was based on the data of Shenzhen Aging Related Disorder Cohort (SADC), including 51 elderly community data variables such as demographic characteristics, neuropsychological assessment and environmental factors, from July 2017 to November 2018. Participant's cognitive function was assessed by Mini-Mental State Examination (MMSE) scale and urinary nicotine metabolite [including cotinine N-β-D-glucuronide (CotGluc), rac 4-hydroxy-4-(3-pyridyl) butanoic acid dicyclohexylamine salt (HyPyBut), trans-3'-hydroxy cotinine O-β-D-glucuronide (OHCotGluc), and cotinine (Cot), etc.] concentrations were measured by high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Generalized linear models and restricted cubic spline models were used to explore the relationships between the urinary levels of nicotine metabolite and cognitive function.

RESULTS

A total of 296 individuals aged >60 years were included. Individuals in the third quartile of CotGluc had a 0.786 point (95% CI: -1.244 - -0.329) decrease or in the highest quartile of OHCotGluc had a 0.804 point (95% CI: -1.330 - -0.278) decreased in attention and calculation compared to those in the lowest quartile (all p for trend <0.05). Compared with those in the lowest quartile, individuals in the highest quartile of CotGluc, HyPyBut, OHCotGluc and Cot, respectively, corresponded to a 1.043 point (95% CI: -2.269-0.182), 1.101 points (95% CI: -2.391-0.188), 2.318 points (95% CI: -3.615 - -1.020), and 1.460 points (95% CI: -2.726 - -0.194) decreased in MMSE total score (all p for trend <0.05). A non-linear dose-response relationship between urinary levels of CotGluc, HyPyBut, OHCotGluc or Cot and cognitive function (all overall p<0.05, non-linear p<0.05). Subgroup analysis showed that urinary levels of CotGluc, OHCotGluc or Cot were significantly negatively associated with cognitive function (all p for trend <0.05) among females and non-smokers.

CONCLUSIONS

The findings highlight the public health implications of environmental tobacco smoke exposure, and effective interventions need to be performed for vulnerable populations.

E-cigarette use behaviors of Asian American, Native Hawaiian, and Pacific Islander youth in the contiguous United States: Insights from the Monitoring the Future Study (2018-2019)

This study examines e-cigarette use behaviors of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) youth, in relation to other racial/ethnic groups in the United States. Data were obtained from the 2018 and 2019 Monitoring the Future surveys, which include a random, probability-based sample of youth in 8th, 10th, and 12th grades surveyed annually across the contiguous United States. Respondents provided information on race/ethnicity and e-cigarette use (n = 42,980). Measures of e-cigarette use included current (1 + of past 30 days) and regular use (10 + of past 30 days). Chi-square tests were used to determine differences in e-cigarette use by race/ethnicity. Associations between race/ethnicity, other sociodemographic factors, and e-cigarette use were explored using logistic regression analyses. Approximately 5.1% (n = 2,410) of the sample identified as AANHPI. A greater proportion of Native Hawaiian and Pacific Islanders reported current e-cigarette use (NHPI, 28.0%), relative to Asian American (AA, 10.3%), Black (9.5%), Hispanic or Latino (15.0%), American Indian or Alaskan Native (AIAN, 16.5%), multiracial (22.3%), and non-Hispanic White (25.2%) youth. Regular e-cigarette use was highest among non-Hispanic White (12.3%), followed by multiracial (10.7%), AIAN (7.8%), Hispanic or Latino (5.0%), AA (4.3%), and Black (3.0%) youth. Associations between race/ethnicity and e-cigarette use remained significant, after controlling for other sociodemographic factors. Continued monitoring of e-cigarette use is needed among AANHPI, a historically underrepresented population in tobacco research. Special attention should be paid to NHPI, who reported the highest rates of e-cigarette use.

[Smoking in Netflix feature films and youth protection]

BACKGROUND

With the aim of protecting minors, the World Health Organization has recommended classifying films with smoking scenes as unsuitable for children and adolescents. In recent years, films have increasingly been viewed via video streaming services - a trend which has been intensified by the COVID-19 pandemic - which poses new challenges for the protection of minors.

AIM

To examine the frequency of smoking scenes in Netflix feature films and the age recommendations for Netflix productions with smoking scenes.

METHOD

A total of 235 films that were made available for streaming exclusively by the Netflix platform in 2021 and 2022 were content coded in order to find out (1) how high the proportion of smoke-free films was in this film sample, (2) how often smoking scenes occurred in these films and (3) the proportion of films with smoke scenes classified as appropriate for young people in Germany and the USA. All films with an age rating of under 16 were considered suitable for children and young people.

RESULTS

Smoking scenes occurred in 113 of 235 analyzed films (48.1%). Of the 113 films with smoking scenes, 57 (50.4%) in Germany and 26 films (23.0%) in the USA were classified as youth films (p<0.001). A total of 3,310 smoking scenes were registered. Of these, 39.4% (n=1,303) were in films with youth ratings in Germany, and in Netflix USA this proportion was 15.8% (n=524).

DISCUSSION

Smoking scenes are a common feature in Netflix movies. Neither in the US nor in Germany does Netflix adhere to the recommendations of the WHO Framework Convention on Tobacco Control to restrict access by young people to films depicting smoking. However, the protection of minors in the US is better than in Germany, since half of the Netflix films with smoking scenes in Germany were rated as suitable for minors, in the USA less than a quarter.

E-cigarette Device Type, Source, and Use Behaviors of Youth and Young Adults: Findings from the Truth Longitudinal Cohort (2020-2021)

Background: E-cigarette device types vary in the amount of nicotine delivered to users. Given that youth and young adults are using pod-based and disposable e-cigarettes with high nicotine concentrations, it is important to determine how e-cigarette use behaviors associated with nicotine dependence may differ across e-cigarette device type. Methods: Baseline information was collected from September 2020 to March 2021 and follow-up information was collected from July to October 2021 from the Truth Longitudinal Cohort. The final analytic sample included respondents (aged 15-24) who reported current use of e-cigarettes at either baseline or follow-up and provided information on the 4-item E-cigarette Dependence Scale (EDS). Differences in endorsement of items from the EDS by e-cigarette device type (pod-based, disposable, or tank) were assessed using chi-square tests. Results: Participants (N = 308) were evenly split on age (15-20, 21+) and gender. Most 15-20-year-olds used disposable e-cigarettes, while those 21+ years primarily used tank devices. Although EDS score did not differ by e-cigarette device type, positive endorsement of two items from the EDS significantly differed by e-cigarette device type. More tank users endorsed reaching for a device without thinking about it (tank: 92.6%; pod-based: 79.0%; disposables: 79.9%, p = 0.04) and vaping more before going into a situation where vaping is not allowed (tank: 92.9%; pod-based: 71.0%; disposables: 73.0%, p < 0.01). Conclusions: Findings have the potential to inform policy implementation by providing evidence for specific targets for regulatory action that can help to reduce the burdens of e-cigarette use among youth and young adults, as results suggest that tank device users are more likely to endorse use behaviors associated with nicotine dependence.