140 resultados para risky alcohol consumption
Resumo:
Alcohol-related mortality and morbidity represents a substantial financial burden to communities across the world. In Australia, conservative estimates place the societal cost (2004-2005) for alcohol abuse at approximately 15.3 billion dollar annually (Collins & Lapsley, 2008). Research has found that adolescence and young adulthood is a peak period for heavy episodic alcohol consumption, with over a third of all people aged 14-19 years having been at risk for acute alcohol-related harm at least once in the prior 12 months (Australian Institute of Health and Welfare [AIHW], (2008). While excessive alcohol consumption has, for a long time, been seen as a male problem; there has been a gradual shift towards a social acceptance of female drinking which has resulted in a diminishing gap in drinking quantity and style between men and women (Roche & Deehan, 2002). There is substantial evidence that women are at higher risk than men for detrimental physical, medical, social and psychological effects of at-risk alcohol consumption (Epstein, et al., 2007). Research outlining the epidemiology of women’s substance use emphasises the need for further examination into influences that may be gender specific and culturally defined (Matheson, 2008; Measham & Ostergaard, 2009). As such, there is a need to utilise female perspectives in examining alcohol consumption and alcohol related problems in order to reflect a more balanced and competent version of drinking in today’s culture (Allamani, 2008). Currently a number of reasons are offered to explain the observed trends including reduction in traditional sanctions and social norms against women drinking, financial emancipation, cultural shift and targeted advertising to name a few. However, there is yet comparatively little research examining drinking by young women in order to understand this ‘new’ drinking pattern. Most research into alcohol use and subsequent intervention and prevention campaigns have been based on male perceptions and constructs of drinking. While such approaches have provided important information regarding the quantity and frequency of alcohol consumption by women, they do not address the important question of why. To understand the why, research needs to explore the difference between males and females in the meaning of the behaviour and the place that drinking holds to them.
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University students are recognised as a heavy drinking group who are at risk of both short and long term harms from their alcohol consumption. This paper explores the social dynamics of drinking and the key differences between three core groups of university students – those who live at home, those living in college and those who live independently. We draw on a large scale survey of Australian university students on alcohol consumption and harm minimisation and extensive qualitative individual and focus group interviews with university students in Victoria, New South Wales and Queensland. Our data suggests that living at home supports safer drinking in comparison to the less regulated college context or living independently in shared households.
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Objective: To examine the extent to which socio-demographics, modifiable lifestyle, and physical health status influence the mental health of post-menopausal Australian women. Methods: Cross-sectional data on health status, chronic disease and modifiable lifestyle factors were collected from a random cross-section of 340 women aged 60-70 years, residing in Queensland, Australia. Structural equation modelling (SEM) was used to measure the effect of a range of socio-demographic characteristics, modifiable lifestyle factors, and health markers (self-reported physical health, history of chronic illness) on the latent construct of mental health status. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12®) which examined and Center for Epidemiologic Studies Depression Scale (CES-D). Results: The model was a good fit for the data (χ2=4.582, df=3, p=0.205) suggesting that mental health is negatively correlated with sleep disturbance (β = -0.612, p <0.001), and a history of depression (β = -0.141, p = 0.024).While mental health was associated with poor sleep, it was not correlated with most lifestyle factors (BMI, alcohol consumption, or cigarette smoking) or socio-demographics like age, income or employment category and they were removed from the final model. Conclusion: Research suggests that it is important to engage in a range of health promoting behaviours to preserve good health. We found that predictors of current mental health status included sleep disturbance, and past mental health problems, while socio-demographics and modifiable lifestyle had little impact. It may be however, that these factors influenced other variables associated with the mental health of post-menopausal women, and these relationships warrant further investigation.
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Background: Sleep disturbance in midlife women has been studied extensively, although less is known about sleep after menopause. This study examined the relative impact of socio-demographics, modifiable lifestyle factors, and health status on sleep disturbance in post-menopausal women from Queensland, Australia. Methods: The longitudinal Healthy Aging of Women (HOW) study examines health-related quality of life (HRQOL measured by SF-12©), chronic illness, modifiable lifestyle factors such as physical activity, alcohol consumption, smoking, and sleep disturbance (General Sleep Disturbance Scale, GSDS ≥ 43 represent poor sleep) in midlife and older women from low and high socio-economic, rural and urban areas of South-East Queensland, Australia. This paper presents cross-sectional data from the 322 women, aged 60-70 years, participating in the HOW study in 2011. Results: For women in this study, sleep disturbance was relatively common, with 23% (n = 83) reporting poor sleeping (GSDS ≥ 43). Sleep disturbance scores were strongly correlated with being unemployed or on a disability support pension (β = 18.69, P < 0.01), sedentary lifestyle (β = 23.84, P < 0.01), and lower mental (β = -0.60, P <0.01) and physical health-related quality of life scores (β = -0.32, P = 0.01), and these variables explained almost one third of variance in sleep disturbance scores (ηρ² = 29%). Conclusions: Multivariable analysis revealed that sleep disturbance was correlated with physical and mental health-related quality of life, disability, and sedentary lifestyle, but not other lifestyle and socio-demographic characteristics. It may be however, that modifiable lifestyle factors may indirectly impact on sleep by influencing health status.
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To understand the underlying genetic architecture of cardiovascular disease (CVD) risk traits, we undertook a genome-wide linkage scan to identify CVD quantitative trait loci (QTLs) in 377 individuals from the Norfolk Island population. The central aim of this research focused on the utilization of a genetically and geographically isolated population of individuals from Norfolk Island for the purposes of variance component linkage analysis to identify QTLs involved in CVD risk traits. Substantial evidence supports the involvement of traits such as systolic and diastolic blood pressures, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, body mass index and triglycerides as important risk factors for CVD pathogenesis. In addition to the environmental inXuences of poor diet, reduced physical activity, increasing age, cigarette smoking and alcohol consumption, many studies have illustrated a strong involvement of genetic components in the CVD phenotype through family and twin studies. We undertook a genome scan using 400 markers spaced approximately 10 cM in 600 individuals from Norfolk Island. Genotype data was analyzed using the variance components methods of SOLAR. Our results gave a peak LOD score of 2.01 localizing to chromosome 1p36 for systolic blood pressure and replicated previously implicated loci for other CVD relevant QTLs.
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Background The Environments for Healthy Living (EFHL) study is a repeated sample, longitudinal birth cohort in South East Queensland, Australia. We describe the sample characteristics and profile of maternal, household, and antenatal exposures. Variation and data stability over recruitment years were examined. Methods Four months each year from 2006, pregnant women were recruited to EFHL at routine antenatal visits on or after 24 weeks gestation, from three public maternity hospitals. Participating mothers completed a baseline questionnaire on individual, familial, social and community exposure factors. Perinatal data were extracted from hospital birth records. Descriptive statistics and measures of association were calculated comparing the EFHL birth sample with regional and national reference populations. Data stability of antenatal exposure factors was assessed across five recruitment years (2006–2010 inclusive) using the Gamma statistic for ordinal data and chi-squared for nominal data. Results Across five recruitment years 2,879 pregnant women were recruited which resulted in 2904 live births with 29 sets of twins. EFHL has a lower representation of early gestational babies, fewer still births and a lower percentage of low birth weight babies, when compared to regional data. The majority of women (65%) took a multivitamin supplement during pregnancy, 47% consumed alcohol, and 26% reported having smoked cigarettes. There were no differences in rates of a range of antenatal exposures across five years of recruitment, with the exception of increasing maternal pre-pregnancy weight (p=0.0349), decreasing rates of high maternal distress (p=0.0191) and decreasing alcohol consumption (p<0.0001). Conclusions The study sample is broadly representative of births in the region and almost all factors showed data stability over time. This study, with repeated sampling of birth cohorts over multiple years, has the potential to make important contributions to population health through evaluating longitudinal follow-up and within cohort temporal effects.
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Objective: To explore the influencing factors of esophageal cancer in the trunk basin of Dawen river , Shandong province. Methods: A case- control study was carried out: 195 living cases of diagnosed esophageal cancer and 195 controls were matched by age and sex and surveyed by a unified inventory. Results: T he following items could rises the risk of esophageal cancer : hard dry diet, smoke homemade cigarettes, alcohol consumption> 500 ml/ day, relatives with tumor in history ( OR = 51850, OR = 161 158, OR = 111 513, OR = 11 827, respectively ) . While drinking tea may have protective effect against esophageal cancer ( OR = 01 311). Conclusion: The high incidence of esophageal cancer in the area is relative not only to the environment and dietary factors, but also to the family history of esophageal cancer.
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On 6 May 2001, a 67-year-old Australian born, Caucasian male presented to the Emergency Department of the Austin and Repatriation Medical Centre (A&RMC) with a 3 day history of fever, lethargy and confusion. This occurred one week after returning from a trip to the Northern Territory. His previous medical problems included ischaemic heart disease, a repaired abdominal aortic aneurysm, hypertension, hyperlipidaemia and congestive cardiac failure. He smoked 20 cigarettes per day and had a history of heavy alcohol consumption. He had no history of diabetes. His medications were aspirin, frusemide, lisinopril, simvastatin, and a nitroglycerol patch. Fifty years ago, he had an adverse reaction to penicillin with angioedema and an urticarial rash. Four weeks before admission he went on a fishing trip in the Northern Territory. He travelled by road, through outback regions of Victoria, New South Wales, Queensland, the Northern Territory and South Australia, spending time in Daly River, Coolum, Darwin, Dunmarra, Avon Downs, Innaminka and Mataranka. He was away for 3 weeks and camped in tents or outside in a swag throughout the trip. He recalls numerous times where he was exposed to mosquitoes with large numbers of bites at Dunmarra. During the time away, he remained well as did his 5 travelling companions. There was...
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Background Changing trends in women's alcohol consumption have demonstrated that women, in both younger and older cohorts, are drinking at increased levels than previously. However, little research investigates these changing trends or the influences behind them. Aims The current research aims to identify influences on women's drinking across a range of age groups, with a focus on multiple level influences (i.e. cultural, social and psychosocial). Methods One hour semi-structured telephone interviews were conducted, in 2011, with 35 women (aged 18-55) residing in Australia. Interview development was guided by an adaptation of Bronfenbrenner's Bioecological Model of Development (BBMD) to assess multiple areas of influences from cultural through to psychosocial. Results Interview findings highlighted the existence of multiple levels of influence on women’s drinking and thus provided support for the BBMD framework. Cultural influences identified related to gender roles and national identity. Exosystem influences (e.g. legislation, infrastructure, and media) and Microsystem influences (e.g. immediate social networks) were also identified. A range of psychosocial factors, such as identity, normative influence and attitude were also found as influencing drinking behaviours. Finally, changes across a woman’s life span, and intergenerational differences, were Chronosystem constructs that also emerged as key influences. Discussion and conclusions This study has provided an in-depth understanding into the key factors, occurring across multiple levels of influence, impacting upon women's drinking across younger and older cohorts. The findings also highlight changes in alcohol-related attitudes and behaviours across a life span and across generations. Future research should extend upon these findings based on larger, quantitative studies based on representative samples. The findings do provide key insights into the influences that need to be addressed within targeted interventions.
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Background Alcohol is a major contributor to road crashes in China (Li, Xie, Nie, & Zhang, 2012; Cochrane, & Chen, 2003). Two levels of offence are defined in legislation: the lower level is driving under the influence (DUI, also translated as “drink driving”) and the higher level is driving while intoxicated (DWI, also translated as “drunk driving”, where the driver has BAC>0.08mg/100ml). This study focuses on a 2011 legislative amendment that made drunk driving (DWI) a criminal offence. However, it is not known whether drivers are aware of the law, and whether this knowledge, their exposure to enforcement and the existence of alcohol use disorders relate to their drink driving behaviour. This study explored these relationships in a sample of convicted drunk drivers. Method A survey collected information about offenders’ knowledge and practices related to drunk driving in Guangzhou. The Alcohol Use Disorders Identification Test (AUDIT) (Babor, & Grant, 1989; Chen, & Cheng, 2005) assessed hazardous drinking levels. In total, 101 drunk driving offenders were recruited while in detention. Results Males represented 90% of the sample; the average age was 33.6 years (SD=8.7; range 17-59 years). The average age at which offenders reported starting to drink alcohol was 19.5 years (SD=4.1; range 8-30 years). Driver’s licences had been held for a median of 7 years. Knowledge about legal limits for DUI and DWI offences was surprisingly low, at 27.7% and 40.6% respectively. On average, offenders had experienced 1.5 police alcohol breath tests in the previous year (SD=1.3; range 1-10). AUDIT scores indicated that a substantial proportion of the offenders had high levels of alcohol use disorders. Higher AUDIT scores were found among the least experienced drivers, those with lack of knowledge about the legal limits, and recidivist drunk drivers. Discussion and conclusions Limited awareness of legal alcohol limits might contribute to offending; high levels of alcohol consumption by many offenders suggest that hazardous drinking levels may also contribute. Novice drivers are a concern and their higher AUDIT scores merit some followup. Overall, this study provides important information to assist in refining community education and prevention efforts to align with China’s new regulations.
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Background: Depression and alcohol misuse are among the most prevalent diagnoses in suicide fatalities. The risk posed by these disorders is exacerbated when they co-occur. Limited research has evaluated the effectiveness of common depression and alcohol treatments for the reduction of suicide vulnerability in individuals experiencing comorbidity. Methods: Participants with depressive symptoms and hazardous alcohol use were selected from two randomised controlled trials. They had received either a brief (1 session) intervention, or depression-focused cognitive behaviour therapy (CBT), alcohol-focused CBT, therapist-delivered integrated CBT, computer-delivered integrated CBT or person-centred therapy (PCT) over a 10-week period. Suicidal ideation, hopelessness, depression severity and alcohol consumption were assessed at baseline and 12-month follow-up. Results: Three hundred three participants were assessed at baseline and 12 months. Both suicidal ideation and hopelessness were associated with higher severity of depressive symptoms, but not with alcohol consumption. Suicidal ideation did not improve significantly at follow-up, with no differences between treatment conditions. Improvements in hopelessness differed between treatment conditions; hopelessness improved more in the CBT conditions compared to PCT and in single-focused CBT compared to integrated CBT. Limitations: Low retention rates may have impacted on the reliability of our findings. Combining data from two studies may have resulted in heterogeneity of samples between conditions. Conclusions: CBT appears to be associated with reductions in hopelessness in people with co-occurring depression and alcohol misuse, even when it is not the focus of treatment. Less consistent results were observed for suicidal ideation. Establishing specific procedures or therapeutic content for clinicians to monitor these outcomes may result in better management of individuals with higher vulnerability for suicide.
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Chronic ethanol exposure leads to dysregulation of the hypothalamic-pituitary-adrenal axis, leading to changes in glucocorticoid release and function that have been proposed to maintain pathological alcohol consumption and increase vulnerability to relapse during abstinence. The objective of this study was to determine whether mifepristone, a glucocorticoid receptor antagonist, plays a role in ethanol self-administration and reinstatement. Male, Long-Evans rats were trained to self-administer either ethanol or sucrose in daily 30 min operant self-administration sessions using a fixed ratio 3 schedule of reinforcement. Following establishment of stable baseline responding, we examined the effects of mifepristone on maintained responding and yohimbine-induced increases in responding for ethanol and sucrose. Lever responding was extinguished in separate groups of rats and animals were tested for yohimbine-induced reinstatement and corticosterone release. We also investigated the effects of local mifepristone infusions into the central amygdala (CeA) on yohimbine-induced reinstatement of ethanol- and sucrose-seeking. In addition, we infused mifepristone into the basolateral amygdala (BLA) in ethanol-seeking animals as an anatomical control. We show that both systemic and intra-CeA (but not BLA) mifepristone administration suppressed yohimbine-induced reinstatement of ethanol-seeking, while only systemic injections attenuated sucrose-seeking. In contrast, baseline consumption, yohimbine-induced increases in responding, and circulating CORT levels were unaffected. The data indicate that the CeA plays an important role in the effects of mifepristone on yohimbine-induced reinstatement of ethanol-seeking. Mifepristone may be a valuable pharmacotherapeutic strategy for preventing relapse to alcohol use disorders and, as it is FDA approved, may be a candidate for clinical trials in the near future.
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Research Background: The proliferation of technologically-based interventions and mHealth in particular have led to a need for innovative, relevant and engaging ways of presenting health messages to young people using technology. ‘Ray’s Night Out’ is a mobile health application co-designed with young people by an interdisciplinary team of researchers at Queensland University of Technology. Research Questions: The design, research, development and evaluation of ‘Ray’s Night Out’ addressed a number of research questions from across the fields of Psychology and Interactive and Visual Design. The specific design research questions addressed were: How can a mobile intervention be best designed to promote young people’s safety and wellbeing and minimise harm when consuming alcohol on a typical night out? Specifically, how can principles of interactive and visual design be effectively applied to develop innovative digital health communication solutions that empower young people as active participants in improving their health and wellbeing? Research Contribution: Innovation The mobile app, as a digital artifact, represents a new way of engaging young people in the issue of alcohol consumption and the pacing and self-care behaviours through unique interaction, visual and interface designs which resulted from the participant-led and iterative design research process. The design of the specific interactive and visual features of the app informed by participatory design data and by health research present a novel approach to preventing young people in crossing the ‘stupid line’ on a typical night out. Research Significance: The significance of the design research component within the larger interdisciplinary practices that have informed ‘Ray’s Night Out’ (e.g. field of psychology, reported through journal articles and other related outcomes), is the unique visual and interactive presentation of participant data and health concepts within the app interface and interaction design which improves and increases young people’s engagement with the health messages it contains. The global quality standard is further demonstrated by the launch on Apple iTunes: https://itunes.apple.com/us/app/rays-night-out/id978589497?mt=8 This demonstrates the application meets the high professional requirements for global release and international standards set by Apple AppStore.
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OBJECTIVES This study examined the associations between physical activity and other health behaviors in a representative sample of US adolescents. METHODS In the 1990 Youth Risk Behavior Survey, 11631 high school students provided information on physical activity; diet; substance use; and other negative health behaviors. Logistic regression analyses examined associations between physical activity and other health behaviors in a subset of 2652 high-active and 1641 low-active students. RESULTS Low activity was associated with cigarette smoking, marijuana use, lower fruit and vegetable consumption, greater television watching, failure to wear a seat belt, and low perception of academic performance. For consumption of fruit, television watching, and alcohol consumption, significant interactions were found with race/ethnicity or sex, suggesting that sociocultural factors may affect the relationships between physical activity and some health behaviors. CONCLUSIONS Low physical activity was associated with several other negative health behaviors in teenagers. Future studies should examine whether interventions for increasing physical activity in youth can be effective in reducing negative health behaviors.
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Purpose: To examine the extent to which socio-demographic characteristics, modifiable lifestyle factors and health status influence the mental health of midlife and older Australian women from the Australian Healthy Aging of Women (HOW) study. Methods: Data on health status, chronic disease and modifiable lifestyle factors were collected from a random sample of 340 women aged 40-65 years, residing in Queensland, Australia in 2011. Structural equation modelling (SEM) was used to measure the effect of a range of socio-demographic characteristics (marital status, age, income), modifiable lifestyle factors (caffeine intake, alcohol consumption, exercise, physical activity, sleep), and health markers (self-reported physical health, history of chronic illness) on the latent construct, mental health. Mental health was evaluated using the Medical Outcomes Study Short Form 12 (SF-12®) and the Center for Epidemiologic Studies Depression Scale (CES-D). Results: The model was a good fit for the data (χ2 = 40.166, df =312, p 0.125, CFI = 0.976, TLI = 0.950, RMSEA = 0.030, 90% CI = 0.000-0.053); the model suggested mental health was negatively influenced by sleep disturbance (β = -0.628), sedentary lifestyle (β = -0.137), having been diagnosed with one or more chronic illnesses (β = -0.203), and poor self-reported physical health (β = - 0.161). While mental health was associated with sleep, it was not correlated with many other lifestyle factors (BMI (β = -0.050), alcohol consumption (β = 0.079), or cigarette smoking (β = 0.008)) or background socio-demographic characteristics (age (β = 0.078), or income (β = -0.039)). Conclusion: While research suggests that it is important to engage in a range health promoting behaviours to preserve good health, we found that only sleep disturbance, physical health, chronic illness and level of physical activity predicted current mental health. However, while socio-demographic characteristics and modifiable lifestyle factors seemed to have little direct impact on mental health, they probably had an indirect effect.