151 resultados para Sugar and alcohol sector


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Bhutan is a low-middle-income country with poor roads, rapidly increasing motor vehicle use and heavy alcohol consumption. We estimated the proportion of emergency department patients presenting with injury who had positive blood alcohol. We sought to breathalyse and interview all adult patients (≥18 years) presenting with injury at the Jigme Dorji Wangchuck National Referral Hospital in the capital city Thimphu, from April to October 2015. Breath tests and interviews were conducted with 339 (91%) of 374 eligible adult patients. A third (34%) were alcohol-positive and 22% had blood alcohol concentrations >0.08 g/dL. The highest alcohol-positive fractions were for assault (71%), falls (31%) and traffic crashes (30%). Over a third (36%) of patients had a delay of >2 h between injury and breath test. The results underestimate blood alcohol concentrations at the time of injury so the true prevalence of pre-injury alcohol impairment is greater than our estimates suggest. Countermeasures are urgently needed, particularly roadside random breath testing and alcohol controls.

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Introduction and Aims The aim of this study was to determine changes in advertising expenditures across eight media channels for the four main alcohol beverage types and alcohol retailers in Australia. Design and Methods Yearly advertising expenditures between January 1997 and December 2011 obtained from a leading media-monitoring company. Media channels assessed were: free-to-air television, newspapers, magazines, radio, outdoors (billboards), cinema, direct mail (from 2005) and online (from 2008). Data were categorised into alcohol retailers (e.g. supermarkets, off-licences) or four alcoholic beverage types (beer, wine, spirits, premixed spirits/cider). Regression analyses examined associations between year and expenditure. Results Total alcohol advertising expenditure peaked in 2007, then declined to 2011 (P = 0.02). Television advertising expenditure declined between 2000 and 2011 (P < 0.001), while outdoor advertising expenditure increased between 1997 and 2007. Alcohol retailers' advertising expenditure increased over time (P < 0.001), and from the mid-2000s exceeded expenditure for any single beverage category. For both beer and spirits, television advertising expenditure declined over time (beer: P < 0.001; spirits: P < 0.001) while outdoor advertising expenditure increased (beer: P < 0.001; spirits: P = 0.02). However, the number of advertised beer (P < 0.001), spirits (P < 0.001) and wine (P = 0.01) products increased over time. Discussion and Conclusions Retailers are playing an increasing role in advertising alcohol. As our study excluded non-traditional advertising media (e.g. sponsorships, in-store) we cannot determine whether declines in television advertising have been offset by increases in advertising in newer media channels. However, our findings that media channels used for alcohol advertising have changed over time highlights the need for adequate controls on alcohol advertising in all media channels.

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BACKGROUND: People with bipolar disorder (BD) have a mortality gap of up to 20 years compared to the general population. Physical conditions, such as cardiovascular disease (CVD) and cancer, cause the majority of excess deaths in psychiatric populations and are the leading causes of mortality in people with BD. However, comparatively little attention has been paid to reducing the risk of physical conditions in psychiatric populations. Unhealthy lifestyle behaviors are among the potentially modifiable risk factors for a range of commonly comorbid chronic medical conditions, including CVD, diabetes, and obesity. This systematic review will identify and evaluate the available evidence for effective interventions to reduce risk and promote healthy lifestyle behaviors in BD.

METHODS/DESIGN: We will search MEDLINE, Embase, PsychINFO, Cochrane Database of Systematic Reviews, and CINAHL for published research studies (with at least an abstract published in English) that evaluate behavioral or psychosocial interventions to address the following lifestyle factors in people with BD: tobacco use, physical inactivity, unhealthy diet, overweight or obesity, sleep-wake disturbance, and alcohol/other drug use. Primary outcomes for the review will be changes in tobacco use, level of physical activity, diet quality, sleep quality, alcohol use, and illicit drug use. Data on each primary outcome will be synthesized across available studies in that lifestyle area (e.g., tobacco abstinence, cigarettes smoked per day), and panel of research and clinical experts in each of the target lifestyle behaviors and those experienced with clinical and research with individuals with BD will determine how best to represent data related to that primary outcome. Seven members of the systematic review team will extract data, synthesize the evidence, and rate it for quality. Evidence will be synthesized via a narrative description of the behavioral interventions and their effectiveness in improving the healthy lifestyle behaviors in people with BD.

DISCUSSION: The planned review will synthesize and evaluate the available evidence regarding the behavioral or psychosocial treatment of lifestyle-related behaviors in people with BD. From this review, we will identify gaps in our existing knowledge and research evidence about the management of unhealthy lifestyle behaviors in people with BD. We will also identify potential opportunities to address lifestyle behaviors in BD, with a view to reducing the burden of physical ill-health in this population.

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Students with special developmental needs (e.g. learning disabilities, attentional disorders, intellectual disability, conduct disorders, sensory deficits, acquired brain injury) face particular challenges with respect to academic achievement and psychosocial development, whether they are educated in mainstream settings, special settings, or a combination of these. These groups are typically poorly researched with respect to drug and alcohol use and education, however there is some evidence to indicate that they face an elevated risk of experiencing drug-related harms. The aim of the present paper is to highlight the particular challenges facing this heterogeneous population with respect to access to school-based drug education. Special learning challenges facing such students are described, and some suggestions are provided for researchers and practitioners in the drug education field.

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On the basis of a learning-theory approach to the intergenerational transmission of violence, researchers have focused almost exclusively on violent men's childhood experiences of physical abuse and witnessing family violence. Little consideration has been given to the coexistence of other forms of child maltreatment or the role of family dysfunction in contributing to violence. This study shows the relationships between the level of child maltreatment (physical abuse, psychological maltreatment, sexual abuse, neglect, and witnessing family violence), childhood family characteristics, current alcohol abuse, trauma symptomatology, and the level of physical and psychological spouse abuse perpetrated by 36 men with a history of perpetrating domestic violence who had attended counseling. As hypothesized, a high degree of overlap between risk factors was found. Child maltreatment, low family cohesion and adaptability, and alcohol abuse was significantly associated with frequency of physical spouse abuse and trauma symptomatology scores, but not psychological spouse abuse. Rather than physical abuse or witnessing family violence, childhood neglect uniquely predicted the level of physical spouse abuse. Witnessing family violence (but not physical abuse) was found to have a unique association with psychological spouse abuse and trauma symptomatology. These results present a challenge to the understanding of domestic violence obtained from learning theory.

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A well-resourced, comprehensive, population-based set of strategies is needed to
attenuate and eventually reverse the current trends of increasing obesity prevalence
now apparent in most countries. The Epidemiological Triad (host, vector,
environment) has proven to be a robust model for other epidemics and is applied
to obesity. Host-based strategies are primarily educational and these tend to
be most effective among people with higher incomes and higher educational
attainment. The main vectors for a high-energy intake are energy-dense foods and
drinks and large portion sizes and, for low energy expenditure, machines that
promote physical inactivity. Vector-based strategies that alter food formulation
can have a significant impact, particularly through influencing common, highvolume
foods. The increasingly ‘obesogenic’ environments are probably the main
driving forces for the obesity epidemic. There are many environmental strategies
that can influence the physical, economic, policy or socio-cultural environments,
but the evidence base for these potentially powerful interventions is small.
Children should be the priority population for interventions, and improving the
general socio-economic conditions for disadvantaged, marginalized or poor population
sectors is also a central strategy for obesity prevention. The key settings
for interventions are schools, homes, neighbourhoods, primary health care services
and communities. The key macroenvironments for interventions are the
transport and infrastructure sector, the media and the food sector.

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Objective: To determine the proportion of energy from foods prepared outside the home (FPOH) and the relationships with energy and nutrient intakes and body mass index (BMI).

Design: A nutrition survey of a representative sample of the Australian population aged 18 years and over (n = 10 863). Measure used was a 24-hour dietary recall. Underreporters (energy intake/estimated basal metabolic rate (EI/BMR) <0.9) were excluded from analysis. Daily energy and selected nutrient intakes were calculated using a 1996 nutrient composition database for all foods/beverages during the 24-hour period.

Results: On average FPOH contributed a significant 13% to total energy intake. About a third of the sample had consumed FPOH in the last 24 hours and on average this group consumed a third of their total energy as FPOH. The relative contributions of fat (for men and women) and alcohol (for women) were significantly higher for those in the top tertile of FPOH consumers. The intakes of fibre and selected micronutrients (calcium, iron, zinc, folate and vitamin C) were significantly lower in this group. After adjustment for age and income no relationship between FPOH and BMI was observed.

Conclusions: FPOH make a significant contribution to the energy intake of a third of the Australian population. FPOH contribute to poor nutritional intakes. Altering the supply of FPOH may be an effective means of improving diets at a population level.


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We studied the effects of alcohol intake on postexercise muscle glycogen restoration with samples from vastus lateralis being collected immediately after glycogen-depleting cycling and after a set recovery period. Six well-trained cyclists undertook a study of 8-h recovery (2 meals), and another nine cyclists undertook a separate 24-h protocol (4 meals). In each study, subjects completed three trials in crossover order: control (C) diet [meals providing carbohydrate (CHO) of 1.75 g/kg]; alcohol-displacement (A) diet (1.5 g/kg alcohol displacing CHO energy from C) and alcohol + CHO (AC) diet (C + 1.5 g/kg alcohol). Alcohol intake reduced postmeal glycemia especially in A trial and 24-h study, although insulin responses were maintained. Alcohol intake increased serum triglycerides, particularly in the 24-h study and AC trial. Glycogen storage was decreased in A diets compared with C at 8 h (24.4 ± 7 vs. 44.6 ± 6 mmol/kg wet wt, means ± SE, P < 0.05) and 24 h (68 ± 5 vs. 82 ± 5 mmol/kg wet wt, P < 0.05). There was a trend to reduced glycogen storage with AC in 8 h (36.2 ± 8 mmol/kg wet wt, P = 0.1) but no difference in 24 h (85 ± 9 mmol/kg wet wt). We conclude that 1) the direct effect of alcohol on postexercise glycogen synthesis is unclear, and 2) the main effect of alcohol intake is indirect, by displacing CHO intake from optimal recovery nutrition practices.

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OBJECTIVES: This study evaluated a behavioural model of the relation between social factors and obesity, in which differences in body mass index (BMI) across sociodemographic groups were hypothesized to be attributable to social group differences in health behaviours affecting energy expenditure (physical activity, diet and alcohol consumption and weight control).

METHODS: A total of 8667 adults who participated in the 1995 Australian National Health and Nutrition Surveys provided data on a range of health factors including objectively measured height and weight, health behaviours, and social factors including family status, employment status, housing situation and migration status.

RESULTS: Social factors remained significant predictors of BMI after controlling for all health behaviours. Neither social factors alone, nor health behaviours alone, adequately explained the variance in BMI. Gender-specific interactions were found between social factors and individual health behaviours.

CONCLUSIONS: These results suggest that social factors moderate the relation between BMI and weight-related behaviours, and that the mechanisms underlying sociodemographic group differences in obesity may vary among men and women. Additional factors are likely to act in conjunction with current health behaviours to explain variation in obesity prevalence across sociodemographic groups.

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In recent years there has been considerable debate about the general decline in the number of students undertaking bachelor degrees and majors in economics. The discussion has stemmed mainly from a supply-side perspective of the economics education market. The goal of this paper is to add another dimension to the debate and report the results of a survey of employers of economics graduates. Drawing on the extensive customer services literature it is argued that a market oriented, or demand-side analysis is also an important component in redressing low student enrolments and retention. A first step in adopting a market oriented approach is to determine the skills required of the economics graduates entering the jobs market. With the support of The Economics Society of Au~tralia, twenty-nine public and private sector employers were surveyed in 2002. The aim of the survey was to establish the demand for economics graduates with bachelor and honours degrees, the skills and knowledge required of these graduates, and the performance of such graduates. The study found that economic knowledge and skill were important to employers. However, the skills rated most important by employers were the more general or 'generic' skills of clear writing, data analysis, interpersonal skills and a practical problem-solving orientation. While graduates generally performed satisfactorily in relation to the economic skills required by employers, this was not the case for generic skills. The result of the survey findings have some significant implications for the content and teaching of undergraduate economics programs. This paper outlines these implications and also discusses areas for future research It is argued that such research should aim to utilize both the demand and supplyside perspectives with the development of more precise definitions and measurement of the economic skills required by the various stakeholders in the economics education market.

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Dietary patterns are important in the prevention of chronic disease; however, there are few studies that include repeat measures of dietary patterns. The objective of this study was to assess the relations between dietary patterns during adult life (at ages 36, 43, and 53 y) and risk factors for chronic disease at age 53 y. Participants of a longitudinal study of health completed a 5-d food diary at 3 occasions during adult life (n = 1265). Factor analysis was used to identify dietary patterns and a pattern score was calculated from the consumption of the food items in each dietary pattern. Means and 95% CI for dietary pattern scores were calculated for each risk factor category using random effects models adjusted for socio-demographic and health-related behaviors. In women, the fruit, vegetables, and dairy pattern was inversely associated with BMI (P < 0.004), waist circumference (P = 0.0007), blood pressure (P = 0.02), and was positively associated with red cell folate (P < 0.03). The ethnic foods and alcohol pattern was also inversely associated with blood pressure (P = 0.008), whereas the meat, potatoes and sweet foods pattern was positively associated with glycated hemoglobin (P = 0.01). In men, a mixed pattern was inversely associated with waist circumference (P = 0.02) and blood pressure (P = 0.01), whereas there were no significant associations with the ethnic foods and alcohol pattern. Specific dietary patterns throughout adult life were associated with chronic disease risk factors.

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Stress is thought to influence human eating behavior and has been examined in animal and human studies. Our understanding of the stress-eating relation is confounded by limitations inherent in the study designs; however, we can make some tentative conclusions that support the notion that stress can influence eating patterns in humans. Stress appears to alter overall food intake in two ways, resulting in under- or overeating, which may be influenced by stressor severity. Chronic life stress seems to be associated with a greater preference for energy- and nutrient-dense foods, namely those that are high in sugar and fat. Evidence from longitudinal studies suggests that chronic life stress may be causally linked to weight gain, with a greater effect seen in men. Stress-induced eating may be one factor contributing to the development of obesity. Future studies that measure biological markers of stress will assist our understanding of the physiologic mechanism underlying the stress-eating relation and how stress might be linked to neurotransmitters and hormones that control appetite.

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The advent of training packages is a further change to the vocational education and training sector and is currently being implemented by teaching professionals. This paper outlines the findings of a project involving teachers in a TAFE institution as they begin the process of implementing the cross-industry Laboratory Operations Training Package into their teaching centre. The impetus for the research was the recognition that the change brought about by the new initiative would present a challenge for the teachers and a further change to their role in vocational education and training (VET). The research was qualitative in the form of a case study. Findings demonstrated that the implementation required a significant change in the philosophy of educational practice within the centre and that the implementation process was causing the teachers anxiety and confusion.

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Purpose
To compare risk and protective factors that influence youth substance use in Australia and the United States. The two countries have different policy orientations toward substance use: Australia has adopted harm-reduction policies, and the United States has adopted abstinence-focused polices.

Methods
Cross-sectional survey data were collected from independent samples of adolescents in the states of Maine (N = 16,861; 53% female, 7% Non-white) and Oregon (N = 15,542; 51% female, 24% Non-white) in the United States and Victoria in Australia (N = 8442; 54% Female, 11% Non-white) in 1998 (Maine and Oregon) and 1999 (Victoria). Chi-square tests, t-tests, effect size comparisons, and logistic regression analyses that accounted for age and gender were used to investigate cross-national similarities and differences in: (a) rates of cigarette, alcohol, and marijuana use; (b) levels of risk and protective factors; and (c) magnitudes of associations between risk and protective factors and substance use.

Results
More adolescents in Victoria reported using cigarettes and alcohol, whereas more of the U.S. adolescents reported using marijuana. Exposure to risk and protective factors was generally similar in the cross-national samples. However, adolescents in Maine and Oregon perceived handguns to be more readily available, reported more participation in religious activities, and were higher in sensation-seeking and social skills; and adolescents in Victoria had more favorable attitudes toward drug use and reported community norms and parental attitudes more favorable to drug use. Most of the risk and protective factors were strongly associated with substance use to a similar degree in Victoria, Maine, and Oregon. However, among adolescents in Maine and Oregon peer/individual risk and protective factors associated with social detachment were more strongly related to substance use, and among adolescents in Victoria, family protective factors were less strongly related to alcohol use.

Conclusions
Inter-country influences on youth substance use are generally similar despite different policy directions. Existing differences suggest that the abstinence policy context is associated with higher levels of illicit drug use and stronger relations between individual indicators of social detachment and substance use, whereas the harm reduction policy context is related to more cigarette and alcohol use, possibly from exposure to normative influences that are more tolerant of youth drug use.

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Key Points
1. Ambulance attendance at non-fatal opioid overdose is a common event in mainland Australia (among heroin users in particular).
2. The monthly rate of non-fatal opioid overdose attended by ambulance was generally highest in Victoria (Melbourne) followed by NSW with the rates substantially lower in the remaining mainland states over the period Jan  1999 - Feb 2001.
3. Non-fatal opioid overdose victims were most likely to be male in all states with the proportion of males highest in Victoria (77%).
4. Non-fatal opioid overdose victims were aged around 28 years with ages lowest in WA (26) and highest in NSW (30).
5. The rates of transportation varied according to ambulance service practice across the states with around 94% of cases transported in WA and around 19% and 30% of cases transported in Melbourne and NSW respectively.