57 research outputs found

    Adolescent alcohol use and participation in organised activities: A mixed methods study of British young people

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    Those who misuse alcohol are a burden on health services, the economy and society generally. Compared to their peers, British adolescents report some of the highest levels of alcohol use in Europe. Community organisations can potentially play an important role in the delivery of policy interventions aimed at reducing alcohol misuse. However, little is known about British adolescents’ engagement with these organisations, and related activities, and therefore the role that participation in community activities plays in adolescent alcohol use. This thesis presents findings from an investigation into young people’s participation in organised activities (OAs), such as sports and special groups. While the research was primarily motivated by psychological theories of adolescent risk taking their application was in an ecological framework that identified broader social and environmental determinants of behaviour. An explanatory mixed method design was used. This consisted of two longitudinal studies using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), two cross-sectional studies of male young offenders and non-offenders and a qualitative study involving practitioners involved with the care and management of vulnerable young people. Findings revealed that individual-level characteristics associated with risk-taking behaviours predicted OA participation and that more vulnerable young people participated less in OAs. The analysis of qualitative data indicated that there were barriers to youngsters’ participation in OAs at multiple levels. Longitudinal analyses showed that those participating in sport OAs were more likely to report alcohol use compared to adolescents who did not participate in any OA and participants in non-sport OAs. Cross-sectional analyses showed that young offenders in team sports reported lower levels of hazardous alcohol use compared to young offenders who did not participate in any OA. Qualitative work explored how OA participation might impact vulnerable young people’s alcohol use and showed that the structures of organisations were important for how practitioners worked and the mechanisms identified. These findings highlighted OA participation inequalities among British adolescents and the importance of community contexts for future adolescent alcohol use interventions

    Predictors of physical activity and sedentary behaviours among 11-16 year olds: Multilevel analysis of the 2013 Health Behaviour in School-aged Children (HBSC) study in Wales

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    Background The present study investigated associations between individual- and school-level predictors and young people’s self-reported physical activity (total activity and moderate-to-vigorous activity) and sedentary behaviours. Methods Individual-level data provided by the 2013/14 cross-sectional survey ‘Health Behaviour in School-aged Children (HBSC) study in Wales’ were linked to school-level data within the ‘HBSC School Environment Questionnaire’. The final sample comprised 7,376 young people aged 11-16 years across 67 schools. Multilevel modelling was used to examine predictors of total physical activity, moderate-to-vigorous physical activity (MVPA) and sedentary behaviours (screen-based behaviours). Results Taking more physical activity (less than 5 days vs. 5 or more days per week), engaging in higher levels of MVPA (less than 4 hours vs. 4 or more hours per week) and reporting 2 or less hours of sedentary time were predicted by several individual level variables. Active travel to school positively predicted high levels of physical activity, however, gender stratified models revealed active travel as a predictor amongst girls only (OR:1.25 (95 % CI:1.05 - 1.49)). No school-level factors were shown to predict physical activity levels, however, a lower school socio-economic status was associated with a higher level of MVPA (OR:1.02 (95 % CI:1.01 - 1.03)) and a lower risk of sedentary behaviour (OR:0.97 (95 % CI:0.96 – 0.99)). A shorter lunch break (OR:1.33 (95 % CI:1.11 - 1.49)) and greater provision of facilities (OR:1.02 (95 % CI:1.00 - 1.05)) were associated with increased sedentary activity. Gender stratified models revealed that PE lesson duration (OR:1.18 (95 % CI:1.01 - 1.37)) and the provision of sports facilities (OR:1.03 (95 % CI:1.00 - 1.06)) were predictors of boy’s sedentary behaviours only. Conclusion Shorter lunch breaks were associated with increased sedentary time. Therefore, while further research is needed to better understand the causal nature of this association, extending lunch breaks could have a positive impact on sedentary behaviour through the provision of more time for physical activity. The findings also suggest that active travel could offer a mechanism for increasing physical activity levels particularly amongst girls. Particularly, the design and evaluation of interventions to promote physical activity during school hours should employ a comprehensive approach, including a focus on school policies and behaviours both in and out of school hours. Keywords Physical activity – Sedentary behaviour – Active travel – School – Policy – Environmen

    Mixed-Methods Systematic Review to Identify Facilitators and Barriers for Parents/Carers to Engage Pre-School Children in Community-Based Opportunities to Be Physically Active

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    Background: Low physical activity levels in young children is a major concern. For children aged 0–5 years, engagement with opportunities to be physically active are often driven by the adults responsible for the child’s care. This systematic review explores the barriers and facilitators to parents/caregivers engaging pre-school children in community-based opportunities for physical activity, within real-world settings, or as part of an intervention study. Methods: EBSCOhost Medline, CINHAL plus, EBSCOhost SPORTDiscus, Web of Science, ProQuest, and ASSIA were systematically searched for quantitative and qualitative studies published in English between 2015 and 16 May 2022. Data extracted from 16 articles (485 parents/carers; four countries) were quality-assessed using the Mixed Methods Assessment Tool and coded and themed via thematic analysis. Results: Nine themes (eight core, one minor) were identified and conceptualised into a socio-ecological model, illustrating factors over four levels: Individual—beliefs and knowledge (and parental parameters); Interpersonal—social benefits, social network, and family dynamic; Community—organisational factors and affordability; and Built and Physical Environment—infrastructure. Discussion: The findings provide valuable insights for practitioners and policy makers who commission, design, and deliver community-based physical activity opportunities for pre-school children. Developing strategies and opportunities that seek to address the barriers identified, as well as build on the facilitators highlighted by parents, particularly factors related to infrastructure and affordability, are imperative for physical activity promotion in pre-school children. The perspectives of fathers, socioeconomic and geographical differences, and the importance parents place on physical activity promotion all need to be explored further

    Do stronger school smoking policies make a difference? Analysis of the health behaviour in school-aged children survey

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    Background: Associations of the strength of school smoking policies with cigarette, e-cigarette and cannabis use in Wales were examined. Methods: Nationally representative cross-sectional survey of pupils aged 11–16 years (N=7376) in Wales. Senior management team members from 67 schools completed questionnaires about school smoking policies, substance use education and tobacco cessation initiatives. Multi-level, logistic regression analyses investigated self-reported cigarette, e-cigarette and cannabis use, for all students and those aged 15–16 years. Results: Prevalence of current smoking, e-cigarette use and cannabis use in the past month were 5.3%, 11.5% and 2.9%, respectively. Of schools that provided details about smoking policies (66/67), 39.4% were strong (written policy applied to everyone in all locations), 43.9% were moderate (written policy not applied to everyone in all locations) and 16.7% had no written policy. There was no evidence of an association of school smoking policies with pupils’ tobacco or e-cigarette use. However, students from schools with a moderate policy [OR = 0.47; 95% (confidence interval) CI: 0.26–0.84] were less likely to have used cannabis in the past month compared to schools with no written policy. This trend was stronger for students aged 15–16 years (moderate policy: OR = 0.42; 95% CI: 0.22–0.80; strong policy: OR = 0.45; 95% CI: 0.23–0.87). Conclusions: School smoking policies may exert less influence on young people’s smoking behaviours than they did during times of higher adolescent smoking prevalence. Longitudinal studies are needed to examine the potential influence of school smoking policies on cannabis use and mechanisms explaining this associatio

    Associations of socioeconomic status, parental smoking and parental e-cigarette use with 10–11-year-old children’s perceptions of tobacco cigarettes and e-cigarettes: cross sectional analysis of the CHETS Wales 3 survey

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    Background: This study examines primary schoolchildren’s perceptions of e-cigarettes and tobacco cigarettes, and associations with parental smoking, vaping and socioeconomic status. Methods: Survey of 2218 10–11-year-old children in 73 schools in Wales. Results: Overall, 36% reported that a parent figure smoked compared to 21% for vaping, with parental smoking lower in affluent families (OR = 0.72; 95% CI = 0.68 to 0.76). Overall, 1% had tried a cigarette, while 5% had tried an e-cigarette. Most said they would not smoke or vape in 2 years’ time; susceptibility to vaping (20%) was higher than smoking (12%). Exposure to and perceptions of tobacco cigarettes were more positive for children of smokers. Having a parent who vaped was associated with exposure to and positive perceptions of e-cigarettes, but not smoking. Most children perceived e-cigarettes as used by adults to stop smoking (64%). Susceptibility to smoking (OR = 0.57; 95% CI = 0.41 to 0.79) and vaping (OR = 0.78; 95% CI = 0.62 to 0.99) were lower among children who perceived e-cigarettes as cessation aids. Conclusions: Parental smoking continues to be concentrated in poorer families. This study provides no evidence that parental vaping in the absence of smoking is associated with more positive perceptions of tobacco cigarettes. Communicating to children the role of e-cigarettes as cessation devices for smokers may help to limit their appeal to young people

    The role of perceived public and private green space in subjective health and wellbeing during and after the first peak of the COVID-19 outbreak

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    Research has consistently shown that access to parks and gardens is beneficial to people’s health and wellbeing. In this paper, we explore the role of both public and private green space in subjective health and wellbeing during and after the first peak of the COVID-19 outbreak that took place in the UK in the first half of 2020. It makes use of the longitudinal COVID-19 Public Experiences (COPE) study, with baseline data collected in March/April 2020 (during the first peak) and follow-up data collected in June/July 2020 (after the first peak) which included an optional module that asked respondents about their home and neighbourhood (n = 5,566). Regression analyses revealed that both perceived access to public green space (e.g. a park or woodland) and reported access to a private green space (a private garden) were associated with better subjective wellbeing and self-rated health. In line with the health compensation hypothesis for green space, private gardens had a greater protective effect where the nearest green space was perceived to be more than a 10-minute walk away. This interaction was however only present during the first COVID-19 peak when severe lockdown restrictions came into place, but not in the post-peak period when restrictions were being eased. The study found few differences across demographic groups. A private garden was relatively more beneficial for men than for women during but not after the first peak. The results suggest that both public and private green space are an important resource for health and wellbeing in times of crisis

    A qualitative study of e-cigarette emergence and the potential for renormalisation of smoking in UK youth

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    Background: Growth of e-cigarette use among smokers has raised concerns over uptake by non-smokers, particularly young people. Legislative changes aimed in part at reducing youth exposure to e-cigarettes include the EU Tobacco Products Directive (TPD). A core justification for such measures is the belief that e-cigarettes can lead to tobacco smoking through mechanisms of renormalisation including: mimicking and normalizing the act of smoking; increasing product acceptability via marketing; nicotine exposure. These mechanisms are here explored in relation to findings from qualitative research. Methods: This paper reports results from twenty-one group interviews with 14–15 year olds in Wales, England and Scotland, conducted as part of an ongoing evaluation of the impact of the TPD on youth smoking and e-cigarette use. Interviews were conducted around the end of the transitional period for TPD implementation, and explored perceptions of e-cigarettes and tobacco, as well as similarities and differences between them. Results: Young people differentiated between tobacco and e-cigarettes, rejecting the term e-cigarette in favour of alternatives such as ‘vapes’. Experimental or occasional use was common and generally approved of where occurring within social activity with peers. However, regular use outside of this context was widely disapproved of, unless for the purpose of stopping smoking. Increased prevalence of e-cigarettes did not challenge strongly negative views of smoking or reduce perceived harms caused by it, with disapproval of smoking remaining high. Nicotine use was variable, with flavour a stronger driver for choice of e-liquid, and interest more generally. Conclusion: The extent to which participants differentiated between vaping and smoking, including styles and reasons for use in adults and young people; absence of marketing awareness; and continued strong disapproval of smoking provides limited support for some of the potential mechanisms through which e-cigarettes may renormalise smoking. However caution over nicotine exposure is still necessary

    Have e-cigarettes renormalised or displaced youth smoking? Results of a segmented regression analysis of repeated cross-sectional survey data in England, Scotland and Wales

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    Objectives: To examine whether during a period of limited e-cigarette regulation and rapid growth in their use, smoking began to become renormalised among young people. Design: Interrupted time-series analysis of repeated cross-sectional time-series data. Setting: Great Britain Participants: 248 324 young people aged approximately 13 and 15 years, from three national surveys during the years 1998–2015. Intervention Unregulated growth of e-cigarette use (following the year 2010, until 2015). Outcome measures: Primary outcomes were prevalence of self-reported ever smoking and regular smoking. Secondary outcomes were attitudes towards smoking. Tertiary outcomes were ever use of cannabis and alcohol. Results: In final models, no significant change was detected in the pre-existing trend for ever smoking (OR 1.01, CI 0.99 to 1.03). There was a marginally significant slowing in the rate of decline for regular smoking (OR 1.04, CI 1.00 to 1.08), accompanied by a larger slowing in the rate of decline of cannabis use (OR 1.21, CI 1.18 to 1.25) and alcohol use (OR 1.17, CI 1.14 to 1.19). In all models and subgroup analyses for smoking attitudes, an increased rate of decline was observed after 2010 (OR 0.88, CI 0.86 to 0.90). Models were robust to sensitivity analyses. Conclusions: There was a marginal slowing in the decline in regular smoking during the period following 2010, when e-cigarettes were emerging but relatively unregulated. However, these patterns were not unique to tobacco use and the decline in the acceptability of smoking behaviour among youth accelerated during this time. These analyses provide little evidence that renormalisation of youth smoking was occurring during a period of rapid growth and limited regulation of e-cigarettes from 2011 to 2015
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