17 research outputs found
A cross sectional evaluation of a total smoking ban at a large Australian university
Background: Total smoking bans have been found to contribute positively to the health of non-smokers by reducing exposure to second-hand smoke, and to enhance the likelihood of cessation among smokers. Methods: Two cross-sectional electronic surveys of staff and students at a large Australian university were conducted prior (n = 969) and 1 year post (n = 670) the implementation of a smoke free campus policy. Demographics, tobacco use, intention to quit, attitudes towards smoking and smoking restrictions and awareness of and attitudes towards the campus smoking policy were measured. Results: Exposure to second-hand smoke (SHS) reduced significantly (p < 0.001) one year after policy implementation. Smoking prevalence was similar at both time periods (T1 9.3 %; T2 8.4 %) and over half of smokers indicated they were planning to quit smoking in the future (T1 65.5 vs T2 62.3 %). There was a significant increase in positive responses to the statement the campus should be totally smoke free including all outdoor areas at T2 compared to T1 (T1 60.8 vs T2 71.4 %; p < 0.001), however respondents felt there should be places on campus for smokers to smoke (T1 53.6 vs T2 47 %; p < 0.05). Conclusions: This study found a significant positive difference in exposure SHS after implementation of the total ban. Although prevalence of smoking in this study was low, the proportion of respondents who were contemplating smoking cessation suggests support for smokers would be beneficial. Continued awareness raising, education and enforcement is likely to enhance the long term outcomes of the total ban
The impact of land use/land cover scale on modelling urban ecosystem services
Context
Urbanisation places increasing stress on ecosystem services; however existing methods and data for testing relationships between service delivery and urban landscapes remain imprecise and uncertain. Unknown impacts of scale are among several factors that complicate research. This study models ecosystem services in the urban area comprising the towns of Milton Keynes, Bedford and Luton which together represent a wide range of the urban forms present in the UK.
Objectives
The objectives of this study were to test (1) the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and (2) whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock- versus flow-based).
Methods
Carbon storage, sediment erosion, and pollination were modelled with the InVEST framework using input data representative of common coarse (25 m) and fine (5 m) spatial resolutions.
Results
Fine scale analysis generated higher estimates of total carbon storage (9.32 vs. 7.17 kg mâ2) and much lower potential sediment erosion estimates (6.4 vs. 18.1 Mg kmâ2 yearâ1) than analyses conducted at coarser resolutions; however coarse-scale analysis estimated more abundant pollination service provision.
Conclusions
Scale sensitivities depend on the type of service being modelled; stock estimates (e.g. carbon storage) are most sensitive to aggregation across scales, dynamic flow models (e.g. sediment erosion) are most sensitive to spatial resolution, and ecological process models involving both stocks and dynamics (e.g. pollination) are sensitive to both. Care must be taken to select model data appropriate to the scale of inquiry
Associations between parental chronic pain and self-esteem, social competence, and family cohesion in adolescent girls and boys â family linkage data from the HUNT study
Causal mechanisms proposed for the Alcohol Harm Paradox - a systematic review
Background and Aims
The Alcohol Harm Paradox (AHP) posits that disadvantaged groups suffer from higher rates of alcohol-related harm compared with advantaged groups, despite reporting similar or lower levels of consumption on average. The causes of this relationship remain unclear. This study aimed to identify explanations proposed for the AHP. Secondary aims were to review the existing evidence for those explanations and investigate whether authors linked explanations to one another.
Methods
Systematic review. We searched MEDLINE (1946-January 2021), EMBASE (1974 â January 2021) and PsycINFO (1967 â January 2021), supplemented via manual searching of grey literature. Included papers either explored the causes of the AHP or investigated the relationship between alcohol consumption, alcohol-related harm, and socioeconomic position. Papers were set in Organisation for Economic Co-operation and Development high income countries. Explanations extracted for analysis could be evidenced in the empirical results or suggested by researchers in their narrative. Inductive thematic analysis was applied to group explanations.
Results
Seventy-nine papers met the inclusion criteria and initial coding revealed these papers contained 41 distinct explanations for the AHP. Following inductive thematic analysis, these explanations were grouped into 16 themes within six broad domains: Individual, Lifestyle, Contextual, Disadvantage, Upstream and Artefactual. Explanations related to risk behaviours, which fit within the Lifestyle domain, were the most frequently proposed (n=51) and analysed (n=21).
Conclusions
While there are many potential explanations for the Alcohol Harm Paradox, most research focuses on risk behaviours while other explanations lack empirical testing
Higher and Higher? Drug and Alcohol Use and Misuse among HIV-Vulnerable Men, Trans Men, and Trans Women Who Have Sex with Men in the United States
Experimenting first with eâcigarettes versus first with cigarettes and transition to daily cigarette use among adolescents: the crucial effect of age at first experiment
International audienceBackground and aims: Most studies in English-speaking countries have found a positive association between e-cigarette experimentation and subsequent daily tobacco smoking among adolescents. However, this result may not be valid in other cultural contexts; in addition, few studies have assessed whether this association varies with the subject' age at the time of e-cigarette experimentation. This study aimed to estimate the association between experimenting first with e-cigarette (rather than tobacco) and subsequent daily smoking according to age at the time of experimentation. Design: Secondary analysis; risk ratios (RRs) computed using modified Poisson regressions with inverse probability weighting. Setting: A cross-sectional nation-wide representative survey performed in 2017 in France. Participants: French adolescents (n = 24 111), aged 17 to 18.5 years, who had previously experimented with either e-cigarettes or tobacco. Measures: Exposure was defined as the experimentation with e-cigarettes first (whether or not followed by experimentation with tobacco); the outcome as daily tobacco smoking at the time of data collection. Gender, age, literacy, socio-economic status, pre-exposure repeat school years and experimentation with drunkeness, 3 licit and 8 illicit drugs were adjusted for. Uncertainties about the sequence of events defining exposure were handled by the definition of three patterns of exposure, to avoid a misclassification bias. Findings: Exposure reduced the risk of transition to daily smoking: RR = 0.58, 95% confidence interval (CI) = 0.54, 0.62. This effect increased in a linear manner with age at exposure (RR = 0.87, 95% CI = 0.78; 0.98 for 1 year, P < 0.001): from RR = 1.30, 95% CI = 1.09; 1.54 at age 9 to RR = 0.38, 95% CI = 0.32; 0.45 at age 17. Conclusions: Experimenting with e-cigarettes first (as opposed to tobacco first) appears to be associated with a reduction in the risk of daily tobacco smoking among French adolescents aged 17â18.5, but this risk varies negatively with age at experimentation, and early e-cigarette experimenters are at higher risk