Alcohol and Cigarette Use Among Warsaw Adolescents: Factors Associated With Risk and Resilience.
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ABSTRACT:
SUBMITTER: Pisarska A
PROVIDER: S-EPMC4980829 | biostudies-other | 2016 Aug
REPOSITORIES: biostudies-other
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Project description:Smoking among Malaysian adolescents remains a public health concern despite concerted efforts in tobacco control. The aims of this study were to examine the prevalence and determinants of current-smoking status in young adolescents. This cross sectional study used the first round of the Malaysian Health and Adolescents Research Team's prospective cohort study. It was conducted in three States of the Central and Northern regions of Peninsular Malaysia between March and May 2012. The study used the multistage stratified sampling design. A total of 1,342 adolescents of both sexes, aged 12-13 years, were sampled from randomly selected urban and rural national schools. Information on current smoking status and associated factors were collected by a self-administered, pre-tested, validated, structured questionnaire. Seven percent of the samples were current-smokers; the majority (62%) of them started smoking at the age of 11 years or below. The prevalence of current smoking was significantly higher in males (odds ratio [OR] = 2.37; 95% CI: 1.46, 3.84), those who were influenced by smoker friends (OR = 8.35; 95% CI: 4.90, 14.25), who were unaware of the health risks of smoking (OR =1.85; 95% CI: 1.02, 3.36) and who reported a lack of satisfaction about their overall life (OR =3.26; 95% CI: 1.73, 6.12). The study findings provide valuable information to strengthen the existing school-based smoking prevention program through integration of social competence and social influence curricula. The program should empower the young adolescents to refuse tobacco offers, to overcome social influences and to resist peer pressure to avoid starting smoking. Particular focuses to include mental health service to prevent both emotional and behavioural problems are needed.
| S-EPMC4466253 | biostudies-other
Project description:PurposeThis study aimed to describe substance use (SU) among adolescents and young adults (AYA) with chronic kidney disease, compare these findings with the general population, and identify associated risk factors.Methods708 AYA participants contributing 2475 person-visits from the Chronic Kidney Disease in Children Study were used to estimate prevalence rates of past year and 30-day alcohol, cigarette, e-cigarette and marijuana use, and were compared with national surveys. Repeated measures logistic regression estimated the association between SU and participant characteristics.ResultsThere was nearly no SU among those 12 to 14 years, but use increased with age, and past year alcohol use was about 80% for those greater than or equal to 22 years. Rates of use among males were constant or increased with age, while rates of use among females were lower after age 22 compared to ages 18 to 22. Associated risk factors included non-Black and non-Hispanic identity, older age, and worse disease severity. Participants were less likely to use substances compared to the general population, especially those 14-18 years.ConclusionsSU was less common in AYA with chronic kidney disease than the general population, but differences were attenuated among those greater than or equal to 18 years. Ages 12-14 appear to be the ideal time for prevention efforts. As the landscape of e-cigarette and marijuana policies change, these results underscore the need to understand how similar high-risk populations engage in SU.
| S-EPMC8327403 | biostudies-literature
Project description:ImportanceThe prevalence of electronic nicotine delivery systems (ENDS) use among US youths has increased significantly during the past decade. Identifying key factors highly associated with ENDS use is essential in monitoring and preventing this harmful behavior among youths.ObjectiveTo identify the most important risk factors in wave 4.5 (ie, December 2017 to December 2018) of the Population Assessment of Tobacco and Health Study (PATH) data that are associated with ENDS use in wave 5 (ie, December 2018 to November 2019) among adolescents who were tobacco-naive at baseline.Design, setting, and participantsThis prognostic study examined data from waves 4.5 and 5 of the PATH youth data set using machine learning techniques. The PATH study is a nationally representative longitudinal cohort study of tobacco use and health in the United States among individuals aged 12 years and older. The data analysis was carried out between January and April 2023.Main outcomes and measuresWave 5 current ENDS use status of wave 4.5 adolescents who were tobacco-naive.ResultsThe analyzed data set comprised 7943 individuals who were tobacco-naive in wave 4.5. Among this group, 332 participants (4.2%) indicated their present use of ENDS in wave 5, 5047 (63.5%) were aged 12 to 14 years, 4066 (51.2%) were male, and 2455 (30.9%) were Hispanic. The most important risk factors of ENDS use in wave 5 among adolescents who were tobacco-naive in wave 4.5 were the likelihood of using ENDS if offered by a best friend (mean SHAP value, 0.184), the number of best friends using e-cigarettes (mean SHAP value, 0.167), household tobacco usage (mean SHAP value, 0.161), curiosity about ENDS use (mean SHAP value, 0.088), future intention to use ENDS (mean SHAP value, 0.068), youth's total average weekly earnings (mean SHAP value, 0.060), and perceptions of tobacco product safety (mean SHAP value, 0.026).Conclusions and relevanceThe findings of this study suggest that family and friends play an important role in ENDS use among adolescents. The top-ranking factors associated with ENDS use in this study are areas for further exploration, given the increasing prevalence of ENDS use among youths in recent years. Additionally, these findings highlight the important role of families and schools in shaping adolescents' tobacco-related knowledge, which can protect them from using ENDS.
| S-EPMC10589803 | biostudies-literature
Project description:IntroductionElectronic cigarette (e-cigarette) use among adolescents has become increasingly common; therefore, effectively reducing adolescent e-cigarette use is an urgent issue. We aimed to predict and identify potential factors related to adolescent e-cigarette use behaviors.MethodsThis cross-sectional study was conducted using anonymous questionnaires given to Taiwanese high school students in 2020. Approximately 1,289 adolescent students completed questions on e-cigarette use, personal characteristics, family environment, and substances used. We performed multivariate logistic regression analyses to assess the model's predictive performance in terms of the area under the receiver operating characteristic curve.ResultsWe found that 9.3% of adolescent students used e-cigarettes. Tobacco smoking, close friends' reactions to e-cigarette use, and the use of other substances were independent risk factors for adolescent e-cigarette use. Furthermore, relative to tobacco nonuse, tobacco use and tobacco smoking dependence had odds ratios of 76.49 and 113.81, respectively. The predictive accuracy of adolescent e-cigarette use from personal characteristics, family environment, and substance use status was 73.13, 75.91, and 93.80%, respectively.ConclusionThe present study highlights the need for early prevention of e-cigarette use among adolescents, particularly those with a history of using tobacco and other substances and those who have close friends with positive attitudes towards e-cigarette use.
| S-EPMC10311257 | biostudies-literature
Project description:IntroductionWhile electronic cigarette (EC) use is rapidly increasing among asthmatic adolescents, little is known about the links between EC use and depression or suicidality. We assessed associated factors for depression and suicidality in asthmatic adolescents with experience of EC use.MethodsWe analyzed the data from the 11th to 13th Korea Youth Risk Behavior Web-based Surveys, which were completed from 2015 to 2017. Data were obtained from a stratified, multistage, clustered sample. Students supplied 'yes or no' answers to questions about previous asthma diagnosis by a doctor. Associated factors for depression and suicidality were evaluated by logistic regression models after controlling for potential confounding factors. We targeted 203336 adolescents, and 195847 completed the survey.ResultsThe proportion of asthma among the respondents was 8.9%. The rate of experience of EC use was higher among asthmatic respondents than non-asthmatic respondents (10.3% vs 8.6%). Asthmatic respondents with experience of EC use had a much higher proportion of negative mental health states including depression and suicidality than subjects without EC experience. In our adjusted models, perception of stress was most strongly associated with depression (adjusted odds ratio, AOR=4.79; 95% CI: 4.12-5.58), and perception of unhappiness was most strongly associated with suicidal ideation (AOR=5.24; 95% CI: 4.51-6.09) and suicide attempt (AOR=4.37; 95% CI: 3.36-5.69).ConclusionsMany Korean asthmatic adolescents with experience of EC use report relatively high depression and suicidal behaviors. A multidisciplinary approach, including psychological help, may be required to prevent suicide among this population, especially those who report associated factors.
| S-EPMC7586912 | biostudies-literature
Project description:A family history of alcoholism (FH) increases risk for alcohol use disorder (AUD), yet many at-risk individuals never develop alcohol use problems. FH is associated with intermediate levels of risk phenotypes, whereas distinct, compensatory brain changes likely promote resilience. Although several cognitive, behavioral, and personality factors have been associated with AUD, the relative contributions of these processes and their neural underpinnings to risk or resilience processes remains less clear. We examined whole-brain resting-state functional connectivity (FC) and behavioral metrics from 841 young adults from the Human Connectome Project, including healthy controls, individuals with AUD, and their unaffected siblings. First, we identified functional connections in which unaffected siblings were intermediate between controls and AUD, indicating AUD risk, and those in which siblings diverged, indicating resilience. Canonical correlations relating brain risk and resilience FC to behavioral patterns revealed AUD risk and resilience phenotypes. Risk phenotypes primarily implicated frontal-parietal networks corresponding with executive function, impulsivity, externalizing behaviors, and social-emotional intelligence. Conversely, resilience-related phenotypes were underpinned by networks of medial prefrontal, striatal, temporal, brainstem and cerebellar connectivity, which associated with high trait attention and low antisocial behavior. Additionally, we calculated "polyphenotypic" risk and resilience scores, to investigate how the relative load of risk and resilience phenotypes influenced the probability of an AUD diagnosis. Polyphenotypic scores predicted AUD in a dose-dependent manner. Moreover, resilience phenotypes interacted with risk phenotypes, reducing their effects. The hypothesis-generating results revealed interpretable AUD-related phenotypes and offer brain-informed targets for developing more effective interventions.
| S-EPMC8416942 | biostudies-literature
Project description:PURPOSE:Develop and validate a scale that measures Technophilia (positive orientation toward new technology) and use it to address orientation toward new technologies to explain e-cigarette trial and adoption, especially in relatively low risk adolescents. METHODS:Survey data were obtained from students of the three largest cities in Mexico (n?=?8123). We developed eight questions involving access, use and pleasure from different electronic media to measure technophilia. Exploratory factor analysis (EFA) was conducted. Linear GEE models were used when regressing technophilia on covariates. When regressing e-cigarette and conventional cigarette trial and use, logistic GEE models were used. Finally, we used multinomial logistic regression to evaluate the associations between technophilia and e-cigarettes as the first tobacco product. RESULTS:Technophilia were correlated with theoretically-related variables. Unadjusted and adjusted models regressing e-cigarette trial and use indicated that students in the highest quartile for technophilia were more likely to have tried e-cigarettes compared with the lowest quartile (AORQ4 vs Q1?=?1.36, 95% CI 1.14-1.62). Technophilia was not independently associated with current e-cigarette use in adjusted models. Students with higher technophilia were more likely to have first tried e-cigarettes in both crude and adjusted models (AORQ4vQ1?=?1.66, 95% CI 1.20-2.31; AORQ3vQ1?=?1.43, 95% CI 1.02-2.01). Technophilia did not have a statistically significant, independent association with first use of other tobacco products. CONCLUSION:This study suggests that technophilia is associated with trial of e-cigarettes among youth. The measure we developed appears useful for understanding why some youth are open to trying novel, technologically oriented ways to consume nicotine.
| S-EPMC6358480 | biostudies-literature
Project description:INTRODUCTION:Research shows that adolescents who are overweight or obese may be at greater risk of cigarette smoking, and that this relationship may vary by gender. However, this relationship is understudied for electronic cigarettes (e-cigarettes). Given the high rate of adolescent obesity and the rise in e-cigarette use in adolescents, this relationship should be investigated. METHODS:Data are from the third wave (collected October 2015-January 2016) of the Texas Adolescent Tobacco and Marketing Surveillance system. Students were in the seventh, ninth, and 11th grades (n=2,733) from five counties surrounding four major Texas metropolitan areas (Houston, Austin, San Antonio, Dallas). Weighted logistic regression was used to determine if weight status (healthy weight, overweight, or obese) was correlated with ever and past 30-day cigarette or e-cigarette use, controlling for sociodemographics. Models were stratified by gender. Data analyses were conducted in March 2017. RESULTS:Compared with healthy-weight boys, obese boys had higher odds of past 30-day e-cigarette use (AOR=3.45, 95% CI=1.34, 8.33) and cigarette smoking (AOR=4.52, 95% CI=1.32, 15.51). There was no significant relationship between weight status and cigarette or e-cigarette use in girls. CONCLUSIONS:This study supports that there is a positive relationship between weight status and past 30-day cigarette and e-cigarette use for boys, but that there is no association for girls.
| S-EPMC5736419 | biostudies-literature
Project description:BackgroundElectronic cigarette (e-cigarette) use is an increasingly common method of nicotine delivery in the general population. It is well-established that tobacco users are at increased risk to engage in hazardous drinking and meet criteria for alcohol use disorder (AUD) relative to nonusers. Less is known, however, about the risk of harmful alcohol use among people who use e-cigarettes. The current study reports on the association between e-cigarette and alcohol use in the U.S. population using a nationally representative sample.MethodsData from 36,309 adults who participated in the National Epidemiologic Survey on Alcohol and Related Conditions-Wave III were included in the study. The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS) measured past-year e-cigarette and alcohol use outcomes. Based on past-year e-cigarette use, respondents were categorized as nonusers, nondaily users, or daily users. Alcohol use outcomes were drinking quantity/frequency, binge drinking frequency, AUD diagnostic status, and National Institute on Alcohol Abuse and Alcoholism-defined hazardous drinking status.ResultsControlling for demographic characteristics, daily and nondaily e-cigarette users showed increased risk of harmful alcohol use compared to e-cigarette nonusers, including hazardous drinking (adjusted odds ratios [AORs] = 1.69; 2.48), AUD (AORs = 1.89; 2.44), and binge drinking frequency (AORs = 1.30 to 3.30). Nondaily e-cigarette use was associated with higher levels of risk than was daily use. Secondary analyses examined alcohol use outcomes according to participants' patterns of dual tobacco cigarette/e-cigarette use. These analyses confirmed that e-cigarette use alongside tobacco cigarette use is associated with additive risk of harmful alcohol consumption, particularly among nondaily users.ConclusionsE-cigarette users, particularly those who engage in nondaily and dual use, show elevated rates of harmful alcohol use. Heavy drinking may constitute a source of health risk among e-cigarette users.
| S-EPMC6286236 | biostudies-literature
Project description:IntroductionMany e-cigarette users find the variety of e-cigarette flavors appealing. We examined whether preferences for e-liquid flavors and the total number of flavors preferred differed between samples of adolescent and adult e-cigarette users. We also examined whether these preferences were associated with e-cigarette use frequency for adolescents or adults, respectively.Materials and methodsThe analytic samples comprised 1) 396 adolescent, past-month e-cigarette users from 5 Connecticut high schools who completed an anonymous, school-based survey in Fall 2014 (56.1% male; 16.18 [1.18] years; 42.2% past-month smokers), and 2) 590 adult, past-month e-cigarette users who completed an anonymous, MTurk survey in Fall 2014 (53.7% male; 34.25 [9.89] years; 51.2% past-month smokers).ResultsCompared to adults, a larger proportion of adolescents preferred fruit, alcohol, and "other"-flavored e-liquids, whereas adults disproportionately preferred tobacco, menthol, mint, coffee, and spice-flavored e-liquids (p-values < .05). Adults also preferred a greater total number of flavors compared to adolescents and used e-cigarettes more frequently (p-values < .001). Flavor preferences uniquely were associated with frequency of e-cigarette use within the adolescent sample; the total number of flavors preferred was associated with more days of e-cigarette use (ηp2 = 0.04), as were preferences for fruit (ηp2 = 0.02), dessert (ηp2 = 0.02), and alcohol-flavored (ηp2 = 0.02) e-liquids.ConclusionsFlavor preferences differed between adolescent and adult samples. While youth reported less frequent e-cigarette use overall, their preferences for specific flavors and the total number of flavors preferred were associated with more days of e-cigarette use, indicating that flavor preferences may play an important role in adolescent e-cigarette use.
| S-EPMC5754053 | biostudies-literature