862 resultados para Drug-use
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There has been a dearth of epidemiological research on rates of mental disorder among Irish people and little is known about the numbers of young people in Ireland who are experiencing diagnosable mental disorders. In the context of such limited epidemiological research in the field of mental health, the PERL Group in the Royal College of Surgeons in Ireland has conducted two studies on mental disorders and psychopathology among young Irish people. This report is the first research report from these two studies by the PERL Group. It provides data on the prevalence rates of mental disorder, substance use, deliberate self-harm and suicidality among young Irish people aged 11-24 years.This resource was contributed by The National Documentation Centre on Drug Use.
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Information about drugs and alcohol - what parents need to know: information for parents, carers and anyone who works with young people. About this leaflet This is one in a series of leaflets for parents, teachers and young people entitled Mental Health and Growing Up. These leaflets aim to provide practical, up-to-date information about mental health problems (emotional, behavioural and psychiatric disorders) that can affect children and young people. This leaflet offers practical advice for parents, teachers and carers who are worried that a young person is misusing drugs or alcohol. Why do I need to know about a young person using drugs or alcohol? Many young people smoke, drink alcohol and may try drugs. It is important you are aware of this and do not ignore it as a time when they are just having fun or experimenting. It doesnââ,¬â"¢t take much for the young people to soon lose control and to need help to recover from this problem. How common is it? By the age of 16, up to half of young people have tried an illegal drug. Young people are trying drugs earlier and more are drinking alcohol. What are the different types of drugs which cause problems? The most commonly used, readily available and strongly addictive drugs are tobacco and alcohol. There are numerous others that can be addictive. Alcohol and cannabis are sometimes seen as ââ,¬Ëogatewayââ,¬â"¢ drugs that lead to the world of other drugs like cocaine and heroin. Drugs are also classed as ââ,¬Ëolegalââ,¬â"¢ andââ,¬Ëoillegalââ,¬â"¢. The obviously illegal drugs include cannabis (hash), speed (amphetamines), ecstasy (E), cocaine and heroin. Using ââ,¬Ëolegalââ,¬â"¢ drugs (like cigarettes, alcohol, petrol, glue) does not mean they are safe or allowed to be misused. It just means they may be bought or sold for specific purposes and are limited to use by specific age groups. There are clear laws regarding alcohol and young people. For more detailed information on various drugs, their side-effects and the law, see ââ,¬ËoFurther Informationââ,¬â"¢ at the end of the factsheet. Why do young people use drugs or alcohol? Young people may try or use drugs or alcohol for various reasons. They may do it for fun, because they are curious, or to be like their friends. Some are experimenting with the feeling of intoxication. Sometimes they use it to cope with difficult situations or feelings of worry and low mood. A young person is more likely to try or use drugs or alcohol if they hang out or stay with friends or family who use them. What can be the problems related to using drugs or alcohol? Drugs and alcohol can have different effects on different people. In young people especially the effects can be unpredictable and potentially dangerous. Even medications for sleep or painkillers can be addictive and harmful if not used the way they are prescribed by a doctor. Drugs and alcohol can damage health. Sharing needles or equipment can cause serious infections, such as HIV and hepatitis. Accidents, arguments and fights are more likely after drinking and drug use. Young people are more likely to engage in unprotected sex when using drugs. Using drugs can lead to serious mental illnesses, such as psychosis and depression. When does it become addiction or problem? It is very difficult to know when exactly using drugs or alcohol is more than just ââ,¬Ëocasualââ,¬â"¢. Addiction becomes more obvious when the young person spends most of their time thinking about, looking for or using drugs. Drugs or alcohol then become the focus of the young personââ,¬â"¢s life. They ignore their usual work, such as not doing their schoolwork, or stop doing their usual hobbies/sports such as dancing or football. How do I know if there is a problem or addiction? Occasional use can be very difficult to detect. If the young person is using on a regular basis, their behaviour often changes. Look for signs such as: ïâ?s§ unexplained moodiness ïâ?s§ behaviour that is ââ,¬Ëoout of character' ïâ?s§ loss of interest in school or friends ïâ?s§ unexplained loss of clothes or money ïâ?s§ unusual smells and items like silver foil, needle covers. Remember, the above changes can also mean other problems, such as depression, rather than using drugs. What do I do if I am worried? If you suspect young person is using drugs, remember some general rules. ïâ?s§ Pay attention to what the child is doing, including schoolwork, friends and leisure time. ïâ?s§ Learn about the effects of alcohol and drugs (see websites listed below). ïâ?s§ Listen to what the child says about alcohol and drugs, and talk about it with them. ïâ?s§ Encourage the young person to be informed and responsible about drugs and alcohol. ïâ?s§ Talk to other parents, friends or teachers about drugs - the facts and your fears and seek help. If someone in the family or close friend is using drugs or alcohol, it is important that they seek help too. It may be hard to expect the young person to give up, especially if a parent or carer is using it too. My child is abusing drugs. What do I do? ïâ?s§ If your child is using drugs or alcohol, seek help. ïâ?s§ Do stay calm and make sure of facts. ïâ?s§ Don't give up on them, get into long debates or arguments when they are drunk, stoned or high. ïâ?s§ Donââ,¬â"¢t be angry or blame themââ,¬â?othey need your help and trust to make journey of recovery. Where can I get help? You can talk in confidence to a professional like your GP or practice nurse, a local drug project or your local child and adolescent mental health. They can refer your child to relevant services and they will be able to offer you advice and support. You may also be able to seek help through a school nurse, teacher or social worker. You can find this information from your local area telephone book or council website, or ask for the address from your health centre. [For the full factsheet, click on the link above]This resource was contributed by The National Documentation Centre on Drug Use.
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Objective: To assess the effects of psychosocial interventions for reduction in substance use in people with a serious mental illness compared with standard care. Conclusion: We included 32 RCTs and found no compelling evidence to support any one psychosocial treatment over another for people to remain in treatment or to reduce substance use or improve mental state in people with serious mental illnesses. Furthermore, methodological difficulties exist which hinder pooling and interpreting results. Further high quality trials are required which address these concerns and improve the evidence in this important area.This resource was contributed by The National Documentation Centre on Drug Use.
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Health at a Glance 2013 presents the trends and influences shaping health status, services and policies in OECD countries and the BRIICS. Although indicators such as life expectancy or infant mortality suggest that things are improving overall, inequalities in wealth, education and other social indicators still have a significant impact on health status and access to health services. These health disparities may be explained by differences in living and working conditions, as well as differences that show up in the health-related lifestyle data presented here (e.g., smoking, harmful alcohol drinking, physical inactivity, and obesity).This resource was contributed by The National Documentation Centre on Drug Use.
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A brief intervention using motivational and cognitive behavioural approaches to help change drug use. Also offer alternative brief interventions for clients not suited to the current approach. This manual is divided into five sections: Section 1. Context Key points from the National Drug Strategy Monograph No 51. Models of Intervention and Care for Psychostimulant Users are included to present the evidence supporting this type of intervention for regular amphetamine users. A flow-chart to place the intervention in a treatment context. Section 2. Brief background to the study and summary of results of evaluation A brief description of how the study was developed, undertaken and evaluated. A brief description of the evaluation outcome data (detailed results will be published separately). Section 3. The intervention The CBT intervention is presented in a clear and easy to use format for practitioners. Section 4. Suggested alternative brief interventions for those not suitable for the current intervention This section provides an overview of recommendations for alternative interventions for psychostimulant users who are unsuitable for the CBT intervention (e.g. those who are not considering change, experimental users etc). Section 5. Other available resources This section lists a range of other resources that are currently available for practitioners working with psychostimulant users. This treatment guide has not been designed to stand alone. Rather, practitioners are encouraged to: 1. Acquaint themselves with the current research and clinical literature. The recently completed monograph Models of Intervention and Care for Psychostimulant Users is an excellent resource for current evidence supporting practice in this area. 2. Undertake training in CBT and motivational enhancement techniques if unfamiliar with these approaches. 3. Obtain ongoing clinical supervision.This resource was contributed by The National Documentation Centre on Drug Use.
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This textbook is a definitive guide to the complete spectrum of community medicine. The basic concepts are set out in a clear readable and concise way. The main types of health data are described, as are the principles of disease prevention and its main strategies.This resource was contributed by The National Documentation Centre on Drug Use.
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This second edition of Health at a Glance: Europe presents a set of key indicators of health and health systems in 35Â European countries, including the 27 European Union member states, 5 candidate countries and 3 EFTA countries. The selection of indicators is based largely on the European Community Health Indicators (ECHI) shortlist, a list of indicators that has been developed by the European Commission to guide the development and reporting of health statistics. It is complemented by additional indicators on health expenditure and quality of care, building on the OECD expertise in these areas. Contents: Introduction 12 Chapter 1. Health status 15 1.1. Life expectancy and healthy life expectancy at birth 1.2. Life expectancy and healthy life expectancy at age 65 1.3. Mortality from all causes 1.4. Mortality from heart disease and stroke 1.5. Mortality from cancer 1.6. Mortality from transport accidents 1.7. Suicide 1.8. Infant mortality 1.9. Infant health: Low birth weight 1.10. Self-reported health and disability 1.11. Incidence of selected communicable diseases 1.12. HIV/AIDS 1.13. Cancer incidence 1.14. Diabetes prevalence and incidence 1.15. Dementia prevalence 1.16. Asthma and COPD prevalence Chapter 2. Determinants of health 49 2.1. Smoking and alcohol consumption among children 2.2. Overweight and obesity among children 2.3. Fruit and vegetable consumption among children 2.4. Physical activity among children 2.5. Smoking among adults 2.6. Alcohol consumption among adults 2.7. Overweight and obesity among adults 2.8. Fruit and vegetable consumption among adults Chapter 3. Health care resources and activities 67 3.1. Medical doctors 3.2. Consultations with doctors 3.3. Nurses 3.4. Medical technologies: CT scanners and MRI units 3.5. Hospital beds 3.6. Hospital discharges 3.7. Average length of stay in hospitals 3.8. Cardiac procedures (coronary angioplasty) 3.9. Cataract surgeries 3.10. Hip and knee replacement 3.11. Pharmaceutical consumption 3.12. Unmet health care needs Chapter 4. Quality of care 93 Care for chronic conditions 4.1. Avoidable admissions: Respiratory diseases 4.2. Avoidable admissions: Uncontrolled diabetes Acute care 4.3. In-hospital mortality following acute myocardial infarction 4.4. In-hospital mortality following stroke Patient safety 4.5. Procedural or postoperative complications 4.6. Obstetric trauma Cancer care 4.7. Screening, survival and mortality for cervical cancer 4.8. Screening, survival and mortality for breast cancer 4.9. Screening, survival and mortality for colorectal cancer Care for communicable diseases 4.10. Childhood vaccination programmes 4.11. Influenza vaccination for older people Chapter 5. Health expenditure and financing 117 5.1. Coverage for health care 5.2. Health expenditure per capita 5.3. Health expenditure in relation to GDP 5.4. Health expenditure by function. 5.5. Pharmaceutical expenditure 5.6. Financing of health care 5.7. Trade in health services Bibliography 133 Annex A. Additional information on demographic and economic context 143 Most European countries have reduced tobacco consumption via public awareness campaigns, advertising bans and increased taxation. The percentage of adults who smoke daily is below 15% in Sweden and Iceland, from over 30% in 1980. At the other end of the scale, over 30% of adults in Greece smoke daily. Smoking rates continue to be high in Bulgaria, Ireland and Latvia (Figure 2.5.1). Alcohol consumption has also fallen in many European countries. Curbs on advertising, sales restrictions and taxation have all proven to be effective measures. Traditional wine-producing countries, such as France, Italy and Spain, have seen consumption per capita fall substantially since 1980. Alcohol consumption per adult rose significantly in a number of countries, including Cyprus, Finland and Ireland (Figure 2.6.1).This resource was contributed by The National Documentation Centre on Drug Use.
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This Key Finding reports on data from the second wave of interviews with Growing Up in Ireland's Child Cohort. The 8,568 children and their families were first interviewed when the children were 9 years old, and then at age 13 years, when 7,400 were reinterviewed between August 2011 and February 2012.The findings show that boys and young people from more socially advantaged backgrounds were more likely to exercise, and that 13-year-olds who took more exercise (whether hard or light exercise) were less likely to be overweight or obese.While most of the young people in Growing Up in Ireland maintained a healthy weight over time, one in four was either overweight or obese, a finding similar to that at 9 years. Girls were also more likely to be classified as overweight or obese than boys. The majority of 13-year-olds were quite positive about their physical appearance, although a quarter rated themselves as below average in this respect, and girls tended to be less positive about their body image than boys. Dieting behaviours had also become evident at 13.To understand more fully the origins and course of overweight and obesity, the descriptive data in this Key Finding can be used in more complex analyses drawing on the rich data available on the child, family and other important contextual variables.This resource was contributed by the National Documentation Centre on Drug Use.
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Key Findings • Based on body mass index (BMI) measurements, 36% of Irish over 50s are obese and a further 43% are overweight. • Based on waist circumference measurements, 52% of Irish over 50s are ‘centrally obese’, i.e., with a ‘substantially increased’ waist circumference, while a further 25% have an ‘increased’ waist circumference. • Using BMI as an indicator of obesity, a higher proportion of men (38%) are obese than women (33%); however, using waist circumference as an indicator of obesity, a higher proportion of women (56%) have a ‘substantially increased’ waist circumference than men (48%). • The prevalence of obesity in Irish men over 50 is comparable with US men over 50 (while English rates are much lower). Â Â .This resource was contributed by The National Documentation Centre on Drug Use.
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Injection drug use before and after liver transplantation: a retrospective multicenter analysis on incidence and outcome. Clin Transplant 2009 DOI: 10.1111/j.1399-0012.2009.01121.x. Background and aims: Injecting drug use (IDU) before and after liver transplantation (LT) is poorly described. The aim of this study was to quantify relapse and survival in this population and to describe the causes of mortality after LT. Methods: Past injection drug users were identified from the LT listing protocols from four centers in Switzerland and France. Data on survival and relapse were collected and used for uni- and multivariate analysis. Results: Between 1988 and 2006, we identified 59 patients with a past history of IDU. The mean age at transplantation was 42.4 yr and the majority of patients were men (84.7%). The indication for LT was for the vast majority viral cirrhosis accounting for 91.5% of cases, while alcoholic cirrhosis was 5.1%. There were 16.9% of patients who had a substitution therapy before and 6.8% who continued after LT. Two patients (3.4%) relapsed into IDU after LT and died at 18 and 41 months. The mean follow-up was 51 months. Overall survival was 84%, 66%, and 61% at 1, 5, and 10 yr after transplantation. Conclusions: Documented IDU was rare in liver transplanted patients. Past IDU was not associated with poorer survival after LT, and relapse after LT occurred in 3.4%.
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OBJECTIVE: Virologic failure of HIV-positive patients is of special concern during pregnancy. We compared virologic failure and the frequency of treatment changes in pregnant and non-pregnant women of the Swiss HIV Cohort Study. METHODS: Using data on 372 pregnancies in 324 women we describe antiretroviral therapy during pregnancy. Pregnant women on HAART at conception (n = 131) were matched to 228 non-pregnant women (interindividual comparison) and to a time period of equal length before and after pregnancy (intraindividual comparison). Women starting HAART during pregnancy (n = 145) were compared with 578 non-pregnant women starting HAART. FINDINGS: The median age at conception was 31 years, 16% (n = 50) were infected through injecting drug use and the median CD4 cell count was 489 cells/microl. In the majority of pregnancies (n = 220, 59%), women had started ART before conception. When ART was started during pregnancy (n = 145, 39%), it was mainly during the second trimester (n = 100, 69%). Two thirds (n = 26) of 35 women starting in the third trimester were diagnosed with HIV during pregnancy. The risk of virologic failure tended to be lower in pregnant than in non-pregnant women [adjusted odds ratio 0.52 (95% confidence interval 0.25-1.09, P = 0.08)], but was similar in the intraindividual comparison (adjusted odds ratio 1.04, 95% confidence interval 0.48-2.28). Women starting HAART during pregnancy changed the treatment less often than non-pregnant women. CONCLUSION: Despite the physiological changes occurring during pregnancy, HIV infected pregnant women are not at higher risk of virologic failure.
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This report summarises data that is collected on the operation of the Northern Ireland Needle and Syringe Exchange Scheme (NSES). It relates to the twelve-month period between 1st April 2013 and 31st March 2014. The anonymised data is collected by the 14 pharmacies and 1 Trust-based service that participate in the Northern Ireland Needle and Syringe Exchange Scheme (NSES) which was introduced in April 2001.
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BACKGROUND: Inter-individual variability in plasma concentration-time profiles might contribute to differences in anti-malarial treatment response. This study investigated the pharmacokinetics of three different forms of artemisinin combination therapy (ACT) in Tanzania and Cambodia to quantify and identify potential sources of variability. METHODS: Drug concentrations were measured in 143 patients in Tanzania (artemether, dihydroartemisinin, lumefantrine and desbutyl-lumefantrine), and in 63 (artesunate, dihydroartemisinin and mefloquine) and 60 (dihydroartemisinin and piperaquine) patients in Cambodia. Inter- and intra-individual variabilities in the pharmacokinetic parameters were assessed and the contribution of demographic and other covariates was quantified using a nonlinear mixed-effects modelling approach (NONMEM®). RESULTS: A one-compartment model with first-order absorption from the gastrointestinal tract fitted the data for all drugs except piperaquine (two-compartment). Inter-individual variability in concentration exposure was about 40% and 12% for mefloquine. From all the covariates tested, only body weight (for all antimalarials) and concomitant treatment (for artemether only) showed a significant influence on these drugs' pharmacokinetic profiles. Artesunate and dihydroartemisinin could not be studied in the Cambodian patients due to insufficient data-points. Modeled lumefantrine kinetics showed that the target day 7 concentrations may not be achieved in a substantial proportion of patients. CONCLUSION: The marked variability in the disposition of different forms of ACT remained largely unexplained by the available covariates. Dosing on body weight appears justified. The concomitance of unregulated drug use (residual levels found on admission) and sub-optimal exposure (variability) could generate low plasma levels that contribute to selecting for drug-resistant parasites.
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BACKGROUND: A growing body of literature indicates that adolescents with chronic conditions are as likely, or more likely, to take risky behaviours than their healthy peers. The objective of this research was to assess whether adolescents with chronic illness in Catalonia differ from their healthy peers in risk-taking behaviour. METHODS: Data were drawn from the Catalonia Adolescent Health database, a survey including a random school-based sample of 6952 young people, aged 14-19 years. The index group (IG) included 665 adolescents (450 females) reporting several chronic conditions. The comparison group (CG) comprised 6287 healthy adolescents (3306 females). Personal, family and school-related variables were analysed to ensure comparability between groups. Sexual behaviour, drug use (tobacco, alcohol, cannabis, cocaine and synthetic drugs) and perception of drug use among peers and in school were compared. Analysis was carried out separately by gender. chi-square, Fisher's and Student's tests were used to compare categorical and continuous variables. RESULTS: The prevalence of chronic conditions was 9.6%, with females showing a higher prevalence than males. The IG showed similar or higher rates of sexual intercourse and risky sexual behaviour. For most studied drugs, IG males reported slightly lower rates of use than CG males, while IG females showed higher rates for every drug studied. No differences were found in the perceptions of drug use among peers or in their school. CONCLUSIONS: Similar to previous research, chronically ill adolescents in our sample are as likely, or more likely, to take risky behaviours than their healthy counterparts and should receive the same anticipatory guidance.
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Background The epidemic of HIV/AIDS and treatments that have emerged to alleviate, have brought about a shift in the burden of disease from death to quality of life/disability. The aim was to determine which factors are associated with improvements in the level of health of male and female patients with HIV/AIDS in Andalusia, in terms of disability-adjusted life years. Methods Descriptive study based on a sample group of 8800 people on the Andalusian AIDS register between 1983 and 2004. Dependent variables: Life lost due to premature mortality (YLL), years lost due to disability (YLD) and disability-adjusted life years (DALY). Independent variables: vital state, sex, age at the time of diagnosis, age at the time of death, transmission category, province of residence, AIDS-indicator disease and the period of diagnosis. A bivariate analysis was carried out to find out if the health level variables changed in accordance with the independent variables. Using the independent variables which had a statistically significant link with the level of health variables, a multivariate linear regression model, disaggregated by gender, was constructed. Results Amongst the women, we found a model which explained the level of health of 64.9%: a link was found between a higher level of health (lower DALYs) and not intravenous drug use, the province of residence, being diagnosed during the HAART era and older age at the time of diagnosis. Amongst the men, we found a model which explained the level of health of 64.4%: a link was found between a higher level of health (lower DALYs) and intravenous drug use, the province of residence, being diagnosed during the HAART era and older age at the time of diagnosis. Conclusion A higher level of health (lower DALY) amongst both men and women was found to be linked to not be intravenous drug user, the province of residence, being diagnosed during the HAART era and older age at the time of diagnosis.