A two-year follow-up investigation of parenting and peer influences on tobacco use onset among Italian early adolescents

BackgroundStudies demonstrated that adolescent e-cigarette use is associated with subsequent tobacco smoking, commonly referred to as the gateway effect. However, most studies only investigated gateways from e-cigarettes to tobacco smoking. This study replicates a cornerstone study revealing a positive association between both adolescent e-cigarette use and subsequent tobacco use; and tobacco and subsequent e-cigarette use in the Netherlands and Flanders.DesignThe longitudinal design included baseline (n=2839) and 6-month (n=1276) and 12-month (n=1025) follow-up surveys among a school-based cohort (mean age: 13.62). Ten high schools were recruited as a convenience sample. The analyses involved (1) associations of baseline e-cigarette use and subsequent tobacco smoking among never smokers; (2) associations of e-cigarette use frequency at baseline and tobacco smoking frequency at follow-up; and (3) the association of baseline tobacco smoking and subsequent e-cigarette use among non-users of e-cigarettes.FindingsConsistent with prior findings, baseline e-cigarette use was associated with higher odds of tobacco smoking at 6-month (OR=1.89; 95% CI 1.05 to 3.37) and 12-month (OR=5.63; 95% CI 3.04 to 10.42) follow-ups. More frequent use of e-cigarettes at baseline was associated with more frequent smoking at follow-ups. Baseline tobacco smoking was associated with subsequent e-cigarette use (OR=3.10; 95% CI 1.58 to 6.06 at both follow-ups).ConclusionOur study replicated the positive relation between e-cigarette use and tobacco smoking in both directions for adolescents. This may mean that the gateway works in two directions, that e-cigarette and tobacco use share common risk factors, or that both mechanisms apply.

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Health workers’ perceptions on where and how to integrate tobacco use cessation services into tuberculosis treatment; a qualitative exploratory study in Uganda

BMC Public Health ◽

10.1186/s12889-021-11502-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Elizeus Rutebemberwa ◽

Kellen Nyamurungi ◽

Surabhi Joshi ◽

Yvonne Olando ◽

Hadii M. Mamudu ◽

...

Keyword(s):

Tobacco Use ◽

Tobacco Cessation ◽

Health Workers ◽

High Volume ◽

Health Facilities ◽

Hospital Treatment ◽

Management Support ◽

Tobacco Use Cessation ◽

Tb Treatment

Abstract Background Tobacco use is associated with exacerbation of tuberculosis (TB) and poor TB treatment outcomes. Integrating tobacco use cessation within TB treatment could improve healing among TB patients. The aim was to explore perceptions of health workers on where and how to integrate tobacco use cessation services into TB treatment programs in Uganda. Methods Between March and April 2019, nine focus group discussions (FGDs) and eight key informant interviews were conducted among health workers attending to patients with tuberculosis on a routine basis in nine facilities from the central, eastern, northern and western parts of Uganda. These facilities were high volume health centres, general hospitals and referral hospitals. The FGD sessions and interviews were tape recorded, transcribed verbatim and analysed using content analysis and the Chronic Care Model as a framework. Results Respondents highlighted that just like TB prevention starts in the community and TB treatment goes beyond health facility stay, integration of tobacco cessation should be started when people are still healthy and extended to those who have been healed as they go back to communities. There was need to coordinate with different organizations like peers, the media and TB treatment supporters. TB patients needed regular follow up and self-management support for both TB and tobacco cessation. Patients needed to be empowered to know their condition and their caretakers needed to be involved. Effective referral between primary health facilities and specialist facilities was needed. Clinical information systems should identify relevant people for proactive care and follow up. In order to achieve effective integration, the health system needed to be strengthened especially health worker training and provision of more space in some of the facilities. Conclusions Tobacco cessation activities should be provided in a continuum starting in the community before the TB patients get to hospital, during the patients’ interface with hospital treatment and be given in the community after TB patients have been discharged. This requires collaboration between those who carry out health education in communities, the TB treatment supporters and the health workers who treat patients in health facilities.

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Sex Difference in the Association between Electronic Cigarette Use and Subsequent Cigarette Smoking among U.S. Adolescents: Findings from the PATH Study Waves 1–4

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041695 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1695

Author(s):

Zongshuan Duan ◽

Yu Wang ◽

Jidong Huang

Keyword(s):

Mental Health ◽

Cigarette Smoking ◽

Tobacco Use ◽

Mental Health Problems ◽

Cigarette Use ◽

Tobacco Products ◽

Estimation Equations ◽

Nationally Representative ◽

Prospective Association

E-cigarettes are the most-used tobacco products among U.S. adolescents. Emerging evidence suggests that adolescents using e-cigarettes are at elevated risk for initiating cigarette smoking. However, whether this risk may differ by sex remains unknown. This study analyzed data from Wave 1 to 4 of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative longitudinal survey. Generalized estimation equations (GEE) were performed to estimate the associations between baseline e-cigarette use and subsequent cigarette smoking, controlling for sociodemographic characteristics, mental health conditions, and other tobacco use. Effect modifications by sex were examined. Multivariate analyses showed that, among baseline never cigarette smokers, past-30-day e-cigarette use at baseline waves was significantly associated with past-30-day cigarette smoking at follow-up waves (aOR = 3.90, 95% CI: 2.51–6.08). This association was significantly stronger for boys (aOR = 6.17, 95% CI: 2.43–15.68) than for girls (aOR = 1.10, 95% CI: 0.14–8.33). Additionally, using other tobacco products, older age, and having severe externalizing mental health problems at baseline were significantly associated with an increased likelihood of cigarette smoking at follow-up. The prospective association between e-cigarette use and cigarette smoking differs by sex among U.S. adolescents. Sex-specific tobacco control interventions may be warranted to curb the youth tobacco use epidemic.

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Tobacco use among Kyrgyzstan medical students: an 11-year follow-up cross-sectional study

BMC Public Health ◽

10.1186/s12889-017-4547-6 ◽

2017 ◽

Vol 17 (1) ◽

Cited By ~ 4

Author(s):

Nurlan Brimkulov ◽

Denis Vinnikov ◽

Zhamilia Dzhilkiadarova ◽

Aigerim Aralbaeva

Keyword(s):

Medical Students ◽

Tobacco Use ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Early Predictors of Trajectories of Tobacco Use Level from Adolescence to Young Adulthood: A 16-Year Follow-Up of the TEMPO Cohort Study (1999–2015)

European Addiction Research ◽

10.1159/000495759 ◽

2018 ◽

Vol 25 (1) ◽

pp. 2-9

Author(s):

Virgile Clergue-Duval ◽

Murielle Mary-Krause ◽

Camille Bolze ◽

Eric Fombonne ◽

Maria Melchior

Keyword(s):

Cohort Study ◽

Young Adulthood ◽

Tobacco Use ◽

Early Predictors

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Effect of self-regulatory behaviour change techniques and predictors of physical activity maintenance in cancer survivors: a 12-month follow-up of the Phys-Can RCT

BMC Cancer ◽

10.1186/s12885-021-08996-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Anne-Sophie Mazzoni ◽

Hannah L. Brooke ◽

Sveinung Berntsen ◽

Karin Nordin ◽

Ingrid Demmelmaier

Keyword(s):

Physical Activity ◽

Cancer Survivors ◽

Cancer Treatment ◽

Tobacco Use ◽

Exercise Intervention ◽

Behaviour Change Techniques ◽

Exercise Motivation ◽

History Of

Abstract Background Current knowledge about the promotion of long-term physical activity (PA) maintenance in cancer survivors is limited. The aims of this study were to 1) determine the effect of self-regulatory BCTs on long-term PA maintenance, and 2) identify predictors of long-term PA maintenance in cancer survivors 12 months after participating in a six-month exercise intervention during cancer treatment. Methods In a multicentre study with a 2 × 2 factorial design, the Phys-Can RCT, 577 participants with curable breast, colorectal or prostate cancer and starting their cancer treatment, were randomized to high intensity exercise with or without self-regulatory behaviour change techniques (BCTs; e.g. goal-setting and self-monitoring) or low-to-moderate intensity exercise with or without self-regulatory BCTs. Participants’ level of PA was assessed at the end of the exercise intervention and 12 months later (i.e. 12-month follow-up), using a PA monitor and a PA diary. Participants were categorized as either maintainers (change in minutes/week of aerobic PA ≥ 0 and/or change in number of sessions/week of resistance training ≥0) or non-maintainers. Data on potential predictors were collected at baseline and at the end of the exercise intervention. Multiple logistic regression analyses were performed to answer both research questions. Results A total of 301 participants (52%) completed the data assessments. A main effect of BCTs on PA maintenance was found (OR = 1.80, 95%CI [1.05–3.08]) at 12-month follow-up. Participants reporting higher health-related quality-of-life (HRQoL) (OR = 1.03, 95%CI [1.00–1.06] and higher exercise motivation (OR = 1.02, 95%CI [1.00–1.04]) at baseline were more likely to maintain PA levels at 12-month follow-up. Participants with higher exercise expectations (OR = 0.88, 95%CI [0.78–0.99]) and a history of tobacco use at baseline (OR = 0.43, 95%CI [0.21–0.86]) were less likely to maintain PA levels at 12-month follow-up. Finally, participants with greater BMI increases over the course of the exercise intervention (OR = 0.63, 95%CI [0.44–0.90]) were less likely to maintain their PA levels at 12-month follow-up. Conclusions Self-regulatory BCTs improved PA maintenance at 12-month follow-up and can be recommended to cancer survivors for long-term PA maintenance. Such support should be considered especially for patients with low HRQoL, low exercise motivation, high exercise expectations or with a history of tobacco use at the start of their cancer treatment, as well as for those gaining weight during their treatment. However, more experimental studies are needed to investigate the efficacy of individual or combinations of BCTs in broader clinical populations. Trial registration NCT02473003 (10/10/2014).

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Effectiveness of the Internet-based Versus Face-to-Face Interaction on Reduction of Tobacco use among Adults: A Systematic Review and Meta-Analysis

10.21203/rs.3.rs-318627/v1 ◽

2021 ◽

Author(s):

Rajesh Kumar ◽

Ravi Kant ◽

Poonam Yadav ◽

Tamar Rodney ◽

Mukesh Bairwa

Keyword(s):

Developing Countries ◽

Tobacco Use ◽

Meta Analysis ◽

Intervention Group ◽

The Internet ◽

Control Group ◽

Forest Plot ◽

Cochrane Central Register ◽

Face To Face

Abstract BackgroundThe burden of tobacco-associated disorders is prevalent worldwide. Over the years, many innovative internet-based approaches have been utilized with variable success to quit tobacco. Though the effectiveness of internet-based and face-to-face interventions on quitting smoking are very well reported in the literature, due to limitation in methodology and limited sample size, it is required to integrate and analyze these studies' findings to reach a single conclusion. The study evaluated the effectiveness of the internet as an intervention approach versus face-to-face interaction on reducing tobacco use as control among adults.MethodsA systematic search was performed through various electronic databases such as Medline, PsychInfo, PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), ResearchGate, Google Scholar, and Academia. Reference lists of the eligible articles were also screened. Full-text articles were included as per eligibility criteria (PICO framework). No ethnicity restriction was applied.ResultsA total of 13 studies were selected for meta-analysis, with 3852 and 3908 participants in intervention and control groups respectively. Forest plot favours the intervention group at one month follow up for tobacco quitting (OR: 2.37, CI: 1.86-3.02, P-0.00001, I2 =0%), at three months (OR: 1.88, CI: 1.48-2.40, P-0.00001, I2 =42%) at six months (OR: 2.02, CI: 1.64-2.50, P-0.00001, I2 =38%) and at 1 year of follow-up (OR: 1.43, CI: 1.18-1.74, P-0.00001, I2 = 36%) comparing to control group. ConclusionInternet and web-based interventions are highly useful in tobacco quitting at one month, three months, six months, and one year of follow-up compared to face-to-face interaction or no intervention, although the level of evidence was moderate. Additionally, limited availability of trials in developing countries, arising need for research of internet use in developing countries to quit tobacco. Prospero Registration number- PROSPERO 2020 CRD42020214306

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A comparison of the smoking outcomes of self-reported and agency-notified child abuse in a population-based birth cohort at 30-year-old-follow-up

Nicotine & Tobacco Research ◽

10.1093/ntr/ntaa270 ◽

2020 ◽

Author(s):

Steve Kisely ◽

Lane Strathearn ◽

Jake Moses Najman

Keyword(s):

Child Abuse ◽

Child Maltreatment ◽

Birth Cohort ◽

Tobacco Use ◽

Prospective Studies ◽

Retrospective Studies ◽

Limited Information ◽

Different Populations ◽

Smoking Outcomes

Abstract Introduction Retrospective studies show a strong association between self-reported child abuse and subsequent tobacco use. Prospective studies using reports to statutory agencies are less common with limited information on people in their 30s. In addition, there have been no comparisons of the effect of self- and agency-reported abuse on smoking. We therefore assessed the effect on the prevalence and persistence of smoking at the 30-year-old follow-up of prospective agency notifications of child abuse compared to retrospective self-reports of maltreatment in the same birth cohort. Methods There were 2443 young adults with data on smoking and child abuse at 30-year-old follow-up. Information on self-reported abuse was collected using the Child Trauma Questionnaire (CTQ) and linked to notifications of child maltreatment to statutory agencies. Results The prevalence of self- and agency-reported maltreatment was 600 (24.7%) and 142 (5.8%) respectively. At follow-up, 565 participants smoked (23.1 %) but only 91 (3.8%) smoked 20 or more cigarettes a day. Of the 206 participants who smoked at 14 years, 101 were still smoking at follow-up. On adjusted analyses, both self- and agency-reported maltreatment showed a significant association with the prevalence and persistence of smoking from 14 years old. However, associations were weaker for some of the agency-notified child maltreatment subtypes possibly because of lower numbers. Conclusions Child maltreatment is associated with both an increased prevalence and persistence of smoking at 30-year-old follow-up irrespective of reporting source. This is despite self- and agency-reported maltreatment possibly representing different populations. Smoking cessation programmes should therefore target both groups. Implications Retrospective studies show an association between self-reported child abuse and subsequent tobacco use. Prospective studies of reports to statutory agencies are less common with limited information on people in their 30s. In addition, there have been no comparisons of self- and agency-reported abuse on smoking outcomes even though they may represent different populations. We therefore compared the effect of both on smoking outcomes at 30-year-old follow-up of 2443 adults from the same birth cohort. On adjusted analyses, both self- and agency-reported maltreatment showed significant associations with the prevalence and persistence of smoking. Smoking prevention and cessation programmes should therefore target both groups.

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External resources of resilience in association with the alcohol use among early adolescents

European Journal of Public Health ◽

10.1093/eurpub/ckz186.167 ◽

2019 ◽

Vol 29 (Supplement_4) ◽

Author(s):

L Abrinkova ◽

O Orosová ◽

M Bacikova-Sleskova ◽

M Štefaňáková ◽

B Gajdošová

Keyword(s):

Alcohol Use ◽

Youth Development ◽

Home Environment ◽

School Environment ◽

Early Adolescents ◽

International Study ◽

Repeated Measure ◽

Outcome Variable ◽

External Resources

Abstract Background This study aimed to explore the role of external resources of resilience in explaining the alcohol use in past 30 days among early adolescents. Methods A representative sample of 653 (52.9% girls) early adolescents (mean age =11.72 at T1; mean age = 13.09 at T5) was collected within a five wave repeated measure design with a baseline(T1), 3-month follow up(T2), 6-month (T3), 12-month(T4) and 18-month follow-up(T5). Alcohol use (AU) in the past 30 days was measured by a questionnaire of the international study ESPAD. School support (SS), school activities participation (SAP), home support (HS) and home activities participation (HAP) were measured by the Resilience Youth Development Module and represented external resources of resilience. Respondent's AU (dichotomized: 0-not used, 1-used) served as the outcome variable and external resources of resilience served as the independent variables. Binary logistic regressions were used to analyze the data. Results At T1, SS (95% CI = 0.77-0.96; p<0.01) was associated with lower AU while SAP (95% CI = 1.00-1.36; p<0.05) was associated with higher AU. At T2, SS (95% CI = 0.73-0.94; pα<0.01) and HS (95% CI = 0.70-0.98; pα<0.05) were associated with lower AU. AT T3, no significant association was found with AU and finally at T4 and T5 only HS (95% CI = 0.81-1.00; T4=pα<0.05), (95% CI = 0.78-0.96; T5=pα<0.01) remained significantly associated with lower AU at T4 and T5 while controlling for alcohol use at T1. AU increased significantly across the five waves (pα<0.01). Gender differences in AU were found only at T1 (p<0.01) with boys scoring higher. Conclusions The 5 measurement revealed a trend of the external resources of resilience in AU shifting from the school environment to the home environment. Moreover, it seems that SAP is associated with a higher probability of AU through more opportunities for group activities which are often associated with AU. Key messages School environment plays an important role in explaining AU in younger early adolescents. Home environment plays an important role in explaining AU in older early adolescents. The results point to an increasing trend in alcohol use among early adolescents.

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An Adult Communication Skills Program to Prevent Adolescent Smoking

Journal of Drug Education ◽

10.2190/4wch-86he-7b0t-rb4a ◽

1987 ◽

Vol 17 (1) ◽

pp. 1-9 ◽

Cited By ~ 9

Author(s):

John K. Worden ◽

Brian S. Flynn ◽

Susan F. Brisson ◽

Roger H. Secker-Walker ◽

Timothy L. McAuliffe ◽

...

Keyword(s):

Cigarette Smoking ◽

Problem Behaviors ◽

Communication Skills ◽

High Intensity ◽

Skills Training ◽

Smoking Initiation ◽

Adolescent Smoking ◽

Peer Influences ◽

One Year

To prevent cigarette smoking among adolescents, communication skills workshops were developed to teach adults how to help young people make responsible decisions and resist peer influences. Workshops were conducted with 125 parents, teachers, and other adults. They were evaluated through a one-year follow-up survey of participants to assess knowledge and use of skills and a behavioral comparison of adolescent smoking initiation between an area receiving a high intensity of workshops and an area of lower intensity. Results indicated participants were mostly mothers, 66 percent of those surveyed one year after the workshop reported use of skills five or more times in the past month, and significantly fewer adolescents in the high intensity area initiated cigarette smoking than in the other area ( p = .0031). While the study had design limitations, it suggested that adult communication skills training may have an impact on adolescent smoking and other problem behaviors.

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