23 research outputs found

    Understanding fatal and non-fatal drug overdose risk factors : overdose risk questionnaire pilot study—validation

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    Data collection and analysis was supported by the Health Informatics Centre, Farr Institute, the University of Dundee. In addition, NHS Fife R&D, NHS Education for Scotland, and the Medical School of the University of St Andrews supported the project.Background: Drug overdoses (fatal and non-fatal) are among the leading causes of death in population with substance use disorders. The aim of the current study was to identify risk factors for fatal and non-fatal drug overdose for predominantly opioid-dependent treatment–seeking population. Methods: Data were collected from 640 adult patients using a self-reported 25-item Overdose Risk (OdRi) questionnaire pertaining to drug use and identified related domains. The exploratory factor analysis (EFA) was primarily used to improve the interpretability of this questionnaire. Two sets of EFA were conducted; in the first set of analysis, all items were included, while in the second set, items related to the experience of overdose were removed. Logistic regression was used for the assessment of latent factors’ association with both fatal and non-fatal overdoses. Results: EFA suggested a three-factor solution accounting for 75 and 97% of the variance for items treated in the first and second sets of analysis, respectively. Factor 1 was common for both sets of EFA analysis, containing six items (Cronbach’s α = 0.70) focusing around “illicit drug use and lack of treatment.” In the first set of analysis, Factors 2 (Cronbach’s α = 0.60) and 3 (Cronbach’s α = 0.34) were focusing around “mental health and emotional trauma” and “chronic drug use and frequent overdose” domains, respectively. The increase of Factor 2 was found to be a risk factor for fatal drug overdose (adjusted coefficient = 1.94, p = 0.038). In the second set of analysis, Factors 2 (Cronbach’s α = 0.65) and 3 (Cronbach’s α = 0.59) as well as Factor 1 were found to be risk factors for non-fatal drug overdose ever occurring. Only Factors 1 and 3 were positively associated with non-fatal overdose (one in a past year). Conclusion: The OdRi tool developed here could be helpful for clinical studies for the overdose risk assessment. However, integrating validated tools for mental health can probably help refining the accuracy of latent variables and the questionnaire’s consistency. Mental health and life stress appear as important predictors of both fatal and non-fatal overdoses.Publisher PDFPeer reviewe

    Association between chronic psychoactive substances use and systemic inflammation : a systematic review and meta-analysis

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    This systematic review and meta-analysis assess the change in inflammation biomarkers level among chronic psychoactive substance users. To meet the required inclusion criteria, all studies had to describe human participants with an age ≄18y., experiencing chronic psychostimulant (nicotine, amphetamine, cocaine), sedative (benzodiazepine, opioids) and/or cannabinoid use. The comparison group was defined as healthy participants. Studies where included if they reported at least one of the pro/inflammatory biomarkers. Study bias was examined by Funnel plots and heterogeneity by computing the I2 statistics. Only 21 eligible studies were selected based on 26216 study participants. A small and significant effect size of 0.18mg/L (95% CI:0.10-0.27) was detected in favor of chronic smokers (z=4.33;P<0.0001). There was evidence of publication bias for studies measuring IL-6 and IL-10 association with cocaine and IL-6 in association with cannabis. In summary, except for chronic tobacco users, there was no evidence of association between other chronic substances abuse and inflammatory levels. More studies are needed to inform policy and decision makers about the utility of anti-inflammatory based targeted intervention programs.PostprintPeer reviewe

    Trajectories of eating behaviour changes during adolescence

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    Abstract : Adolescence represents a critical transition phase during which individuals acquire eating behaviours that can track into adulthood. This study aims to characterise trends in eating behaviours throughout adolescence by investigating the presence of sub-groups of individuals presenting distinct trajectories of vegetable and fruit, sugary beverage, breakfast and fast-food consumption. Data from 744 MATCH study Canadian participants followed from 11 to 18 Years old (2013–2019) were included in the analyses. Participants reported how often they ate breakfast and consumed vegetables and fruits, sugary beverages and fast foods. Trajectories of eating behaviours over seven years were identified using group-based multi-trajectory modelling. For girls, three different groups were identified, namely ‘stable food intake with a decline in daily breakfast consumption’ (39.9%), ‘moderate food intake and worsening in overall eating behaviours’ (38.0%) and ‘stable high food intake’ (22.1%). For boys, five different groups were identified, namely ‘low food intake with stable daily breakfast consumption’ (27.3%), ‘breakfast-skippers and increasing fast food intake’ (27.1%), ‘low food intake with a decline in daily breakfast consumption’ (23.9%), ‘high food intake with worsening of eating behaviours’ (13.3%) and ‘average food intake with consistently high breakfast consumption’ (8.4%). Eating behaviours evolve through various distinct trajectories and sub-groupspecific strategies may be required to promote healthy eating behaviours among adolescents

    Parental control and support for physical activity predict adolescents’ moderate to vigorous physical activity over five years

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    Abstract : Background: Social factors are important determinants of youth physical activity (PA), but the longitudinal association between parental behaviours and adolescent PA has not been clearly assessed. This prospective study examined average and lagged associations between perceived parental support and control with adolescents’ moderate to vigorous PA (MVPA); and assessed the independent associations between specific parental support and control behaviours and adolescents’ MVPA. Methods: Data from three cycles of the MATCH study, when 374 participants were 12, 16 and 17 years old, were included in this analysis. At each cycle, participants self-reported questionnaires on perceived tangible parental support, intangible support, and control behaviours as well as number of days per week attaining at least 60 min of MVPA. Mixed effect models were used to assess the longitudinal relationship between parental behaviours and MVPA. Cross-lagged panel design was used to assess the association of parental behaviours during early adolescence with MVPA during late adolescence. Results: Overall parental support (coef. = 0.46, P < 0.0001), tangible support (coef. = 0.37, P < 0.0001), encouragement (coef. = 0.12, P = 0.025) and transportation (coef. = 0.25, P < 0.0001) were positively associated with MVPA, whereas parental control was a negative predictor of MVPA (coef. = − 0.18, P = 0.003). Perceived parental behaviours appeared to have long term associations (5 y.) with MVPA as parent support (coef. = 0.40, P = 0.006) and coparticipation (coef. = 0.33, P = 0.017) reported around age 12 were positively associated with MVPA measured 5 years later. Conclusions: Parental support for PA, particularly in the form of tangible support, may be a key factor to include in interventions aiming to promote PA during adolescence. In contrast, parents should be encouraged to avoid control behaviours as these appear to lead to lower MVPA among adolescents

    Trajectories of beverage consumption during adolescence

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    Abstract : Beverages contribute substantially to daily energy and nutrient intakes. However, little is known about the codevelopment of beverage consumption throughout adolescence. This study aimed to investigate the presence of naturally occurring sub-groups of girls and boys following distinct trajectories of various types of beverage consumption (i.e. sugary beverages, tea and coffee, water, and milk) throughout adolescence. During the Monitoring Activities for Teenagers to Comprehend their Habits study, data were collected from 744 Canadian youths followed for six years (2013–2019). The participants were asked yearly (start-age 10–11 years old) to report how many times they consumed sugary beverages, tea and coffee, water, and milk in a week. Trajectories of beverage consumption were identified from age 11 to 18 using a person-centred approach, namely groupbased multi-trajectory modelling. For girls, three different groups were identified: ‘Water consumers’ (62.7%), ‘High beverage consumers’ (20.9%), and ‘Water and milk consumers’ (16.4%). For boys, four different groups were identified: ‘Water consumers’ (39.1%), ‘Water and milk consumers’ (30.5%), ‘Sugary drinks, coffee and tea consumers’ (20.1%), and ‘High beverage consumers’ (10.4%). This study illustrates the complexity of beverage consumption patterns in adolescence. Various types of public health messaging and interventions may be required to promote healthier beverage consumption patterns among all adolescents

    Trajectories of Eating Behaviour Changes during Adolescence

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    Adolescence represents a critical transition phase during which individuals acquire eating behaviours that can track into adulthood. This study aims to characterise trends in eating behaviours throughout adolescence by investigating the presence of sub-groups of individuals presenting distinct trajectories of vegetable and fruit, sugary beverage, breakfast and fast-food consumption. Data from 744 MATCH study Canadian participants followed from 11 to 18 Years old (2013–2019) were included in the analyses. Participants reported how often they ate breakfast and consumed vegetables and fruits, sugary beverages and fast foods. Trajectories of eating behaviours over seven years were identified using group-based multi-trajectory modelling. For girls, three different groups were identified, namely ‘stable food intake with a decline in daily breakfast consumption’ (39.9%), ‘moderate food intake and worsening in overall eating behaviours’ (38.0%) and ‘stable high food intake’ (22.1%). For boys, five different groups were identified, namely ‘low food intake with stable daily breakfast consumption’ (27.3%), ‘breakfast-skippers and increasing fast food intake’ (27.1%), ‘low food intake with a decline in daily breakfast consumption’ (23.9%), ‘high food intake with worsening of eating behaviours’ (13.3%) and ‘average food intake with consistently high breakfast consumption’ (8.4%). Eating behaviours evolve through various distinct trajectories and sub-group-specific strategies may be required to promote healthy eating behaviours among adolescents

    A Successful Pilot Experiment of Salt Reduction in Tunisian Bread: 35% Gradual Decrease of Salt Content without Detection by Consumers

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    As bread is the most consumed food by the Tunisian population and the major source of salt, a pilot experiment of salt reduction in bread was begun in Bizerte city. Salt analysis in bread collected from Bizerte city was done with the Volhard titration method. A one-way Anova test was carried out to assess salt content changes over time. Application of the salt reduction programme allowed a gradual decrease of salt content in bread by 35% during three years without detection by Tunisian consumers. The salt concentration in bread was then reduced from 1.7 ± 0.2 g/100 g to 1.1 ± 0.1 g/100 g (p &lt; 0.0001). The establishment of an effective salt reduction strategy with lifestyle education is needed to reduce hypertension, which is the primary cause of death in Tunisia

    Association between chronic psychoactive substances use and systemic inflammation:a systematic review and meta-analysis

    No full text
    This systematic review and meta-analysis assess the change in inflammation biomarkers level among chronic psychoactive substance users. To meet the required inclusion criteria, all studies had to describe human participants with an age ≄18y., experiencing chronic psychostimulant (nicotine, amphetamine, cocaine), sedative (benzodiazepine, opioids) and/or cannabinoid use. The comparison group was defined as healthy participants. Studies where included if they reported at least one of the pro/inflammatory biomarkers. Study bias was examined by Funnel plots and heterogeneity by computing the I2 statistics. Only 21 eligible studies were selected based on 26216 study participants. A small and significant effect size of 0.18mg/L (95% CI:0.10-0.27) was detected in favor of chronic smokers (z=4.33;P&lt;0.0001). There was evidence of publication bias for studies measuring IL-6 and IL-10 association with cocaine and IL-6 in association with cannabis. In summary, except for chronic tobacco users, there was no evidence of association between other chronic substances abuse and inflammatory levels. More studies are needed to inform policy and decision makers about the utility of anti-inflammatory based targeted intervention programs

    Prevalence of Breakfast Skippers among Tunisian Preschool and School Children and Association with Weight Status: A Cross-Sectional Study

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    Breakfast is considered the most important meal of the day. This study aimed to assess breakfast frequency and quality in Tunisian children and to determine the relationship between breakfast skipping and the weight status of the children. A total of 1200 preschool and school children aged 3 to 9 years were randomly selected under a cross-sectional design. Breakfast habits and socio-economic characteristics were collected using a questionnaire. Participants who consumed breakfast less than five times the previous week were categorized as breakfast skippers. The other breakfast consumers were considered as non-skippers. The overall prevalence of breakfast skipping in Tunisian children was 8.3% and 83% of them consumed breakfast all the weekdays. At least two out of three children had a poor breakfast quality. Only 1% of children consumed breakfast in accordance with the composition guidelines. No relationships between breakfast skipping and weight status were detected in this study after adjustment for age, sex and all socio-economic factors (OR = 1.16, 95% CI = 0.72–1.89, p = 0.541). Further school-based interventions should be implemented to improve breakfast quality and to promote a healthy weight in Tunisian children
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