3,246 research outputs found
Effects of Policies Designed to Keep Firearms from High-Risk Individuals
This article summarizes and critiques available evidence from studies published between 1999 and August 2014 on the effects of policies designed to keep firearms from high-risk individuals in the United States. Some prohibitions for high-risk individuals (e.g., those under domestic violence restraining orders, violent misdemeanants) and procedures for checking for more types of prohibiting conditions are associated with lower rates of violence. Certain laws intended to prevent prohibited persons from accessing firearms -- rigorous permit-to-purchase, comprehensive background checks, strong regulation and oversight of gun dealers, and requiring gun owners to promptly report lost or stolen firearms -- are negatively associated with the diversion of guns to criminals. Future research is needed to examine whether these laws curtail nonlethal gun violence and whether the effects of expanding prohibiting conditions for firearm possession are modified by the presence of policies to prevent diversion
Diazepam, alcohol use and violence among male young offenders: 'the devil's mixture’
Citation for published version (APA): Forsyth, A., Khan, F., & McKinlay, W. (2011). Diazepam, alcohol use and violence among male young offenders: 'the devil's mixture’. Drugs: Education, Prevention and Policy, 18(6), 468-476. 10.3109/09687637.2011.563762 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the ResearchOnline@GCU portal Take down polic
Progressive stage transition does mean getting better: a further test of the Transtheoretical Model in recovery from alcohol problems
Aims
To test two central assumptions of the Transtheoretical Model (TTM) regarding recovery from alcohol problems: (i) individuals making a forward transition from pre-action to action stages will show greater drinking improvements than those remaining in pre-action stages; and (ii) individuals remaining in pre-action stages will not demonstrate improvements in drinking outcomes.
Design and setting
Large, multi-centre, randomized controlled trial of treatment for alcohol problems [United Kingdom Alcohol Treatment Trial (UKATT)]. Measurements Stage of change, drinks per drinking day and percentage days abstinent at baseline, 3- and 12-month follow-ups.
Findings
In support of TTM assumption 1, improvements in drinking outcomes were consistently greater among clients who showed a forward stage transition (Cohen's d = 0.68) than among those who did not (d = 0.10). Two tests of assumption 2 showed a significant improvement in drinking outcomes in non-transition groups, inconsistent with the TTM; one test showed a significant deterioration and the other showed equivalent drinking outcomes across time. An explanation is offered as to why, under the relevant assumption of the TTM, clients in non-transition groups showed small changes in drinking outcomes.
Conclusions
In contrast to a previous study by Callaghan and colleagues, our findings largely support the TTM account of recovery from alcohol problems in treatment. The discrepancy can be explained by the use in our study of a more reliable and valid method for assigning stage of change
Reducing alcohol-exposed pregnancies: a report of the National Task Force on Fetal Alcohol Syndrome and Fetal Alcohol Effect
"This report is a collaborative effort of the National Task Force on Fetal Alcohol Syndrome and Fetal Alcohol Effect (NTFFASFAE), the Centers for Disease Control and Prevention's (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD) FAS Prevention Team, National Center for Health Marketing Community Guide Branch, and Research Triangle Institute International (RTI). Evidence for this report began with a systematic search of the literature to identify community-level FASD interventions and policies that can prevent AEPs and reduce the prevalence of physical, mental, behavioral, and learning disabilities due to prenatal alcohol exposure. This evidence, along with the findings and recommendations of the U.S. Preventive Services Task Force on behavioral counseling interventions for alcohol misuse, helped lay the groundwork for the information presented in this report. The report reviews the current evidence on prevention strategies to reduce alcohol use and AEPs, provides recommendations on promoting and improving these strategies, and offers future research directions in the field of FASD prevention. It also serves as a guide for those in the research and practice fields interested in selecting and implementing effective, scientifically tested interventions for women at risk for an AEP."Acknowledgements -- Executive summary -- Introduction -- Background and epidemiological overview -- Alcohol screening for women at risk -- Current evidence -- Universal prevention -- Selective and indicated prevention -- Future research directions -- Conclusions -- Acronyms -- Appendix A. Timeline of national efforts to prevent alcohol-exposed pregnancies -- Appendix B. Alcohol screening tools -- Appendix C. Efforts to support alcohol screening and brief intervention -- Referencesprepared by Kristen L. Barry ... [et al.]."March 2009."Also available via the World Wide Web as an Acrobat .pdf file (5.95 MB, 36 p.).Includes bibliographical references (p. 22-26).Barry KL, Caetano R, Chang G, DeJoseph MC, Miller LA, O'Connor MJ, Olson HC, Floyd RL, Weber MK, DeStefano F, Dolina S, Leeks K, National Task Force on Fetal Alcohol Syndrome and Fetal Alcohol Effect. Reducing alcohol-exposed pregnancies: A report of the National Task Force on Fetal Alcohol Syndrome and Fetal Alcohol Effect. Atlanta, GA: Centers for Disease Control and Prevention; March 2009
The allure, and challenges, of complexity in epidemiological modelling of alcohol harm: Commentary on Rehm
Alcohol Research: A Lifespan Perspective
Contents: The Embryo and Fetus: Focus on Fetal Alcohol Spectrum Disorder (FASD) and Fetal Alcohol Syndrome (FAS) Midlife Focus on Detrimental Effects of Drinking and on Treatment Options Senior Adults and Alcohol: A National Health Issue Alcohol use and the risk for alcohol-related problems change over the lifespan. College students and young adults, who often drink large quantities of alcohol at one time, are more likely to experience problems such as alcohol poisoning, drunk-driving crashes, and assaults; whereas, older individuals who drink even moderately while taking certain medications run the risk of harmful drug interactions. Additionally, patterns of alcohol use may differ across the human lifespan—for example, adolescents who begin drinking prior to age 14 are more likely to develop a serious problem with alcohol later in life. Understanding how alcohol influences people across different life stages is important, especially when designing effective approaches for diagnosing, treating, and preventing alcohol abuse and dependence and their related problems. In 2006, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) published the Five-Year Strategic Plan, The NIAAA Strategic Plan for Research. The Five-Year Plan introduces a new organizing principle for alcohol research studies: A Lifespan Perspective. This new perspective gives researchers a framework within which to examine how alcohol affects people at different stages of development and how different stages of development affect drinking behaviors. The Five-Year Plan examines the current state of alcohol research—what we know about alcohol-related issues— within a Lifespan Perspective, and suggests opportunities for new research and outreach based on these findings. Since 2006, the Five-Year Plan has been revised once, and NIAAA will continue to provide updates to reflect new and emerging research opportunities. This Alcohol Alert presents some of the findings and opportunities outlined in the latest version of the Five-Year Plan
Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020
Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol.Research reported in this publication was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges the support for intellectual contributions to this manuscript by the Department of Community Medicine and Epidemiology at King Edward Medical University, Lahore, Pakistan. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. L Belo acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. D Bennett is supported by the UK Medical Research Council Population Health Research Unit at the University of Oxford (Oxford, UK). M Carvalho acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. L Castro-de-Araujo was funded by the Medical Research Council (UK), Grant no. MR/T03355X/1 and by the National Institute of Mental Health Grant no. R01MH128911. FJ Elgar is supported by the Canada Research Chairs program. F Greaves acknowledges support from the NIHR Applied Research Collaboration for NW London. V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. VB Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. C Herteliu is partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is partially supported by a grant from the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported by the Operational Programme Research, Development and Education –Project, Postdoc2MUNI “(No. CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the National Health and Medical Research Council and received funding from the National Heart Foundation of Australia. The Serbian part of this GBD-related contribution has been co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. M Kivimaki was supported by the Wellcome Trust (221854/Z/20/Z), the UK Medical Research Council (MR/S011676/1), the US National Institute on Aging (R01AG056477), and the Academy of Finland (350426). K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. B Lacey acknowledges support from the UK Biobank, funded largely by the UK Medical Research Council and Wellcome. S Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). G Lucchetti received a productivity scholarship from the Brazilian National Council for Scientific and Technological Development — CNPq (Level 1D). J McGrath was supported by the Danish National Research Foundation (Niels Bohr Professor). J McGrath is employed by the Queensland Centre for Mental Health Research (Australia), which receives support from the Queensland Health Department. C Parry acknowleges the South African Medical Research Council. A Peden is supported by a National Health and Medical Research Council Emerging Leadership Fellowship (Grant ID: APP2009306). M R Phillips was supported in part by the Global Alliance for Chronic Diseases - National Natural Science Foundation of China (NSFC. No. 81761128031). M Pinheiro acknowledges FCT for funding through program DL 57/2016 – Norma transitória. A Rahman acknowledges the support from the Data Science Research Unit in Charles Sturt University (Bathurst, NSW, Australia). U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges support from Ain Shams University (Cairo, Egypt) and the Egyptian Fulbright Mission Program. N Senthil Kumar acknowledges the DBT, New Delhi sponsored Advanced State Level Biotech Hub (BT/NER/143/SP44475/2021), Mizoram University (Aizawl, Mizoram, India) for facilitating this work. F Sha is supported by the Shenzhen Science and Technology Program (Grant No. KQTD20190929172835662). A Shetty acknowledges Kasturba Medical College (Mangalore, India) and Manipal Academy of Higher Education (Manipal, India) for all the academic support. R Shrestha acknowledges a career development award from the National Institutes of Health (K01DA051346). D Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de NÃvel Superior-Brazil (CAPES)-Finance Code 001 and is supported in part by CNPq - Brazil (309589/2021-5). D Sleet acknowledges partial support from Veritas Management Group, Inc and The Bizzell Group, LLC. S Trias-Llimós acknowledges research funding from the Juan de la Cierva-Formación program of the Spanish Ministry of Science and Innovation (FJC-2019-039314-I).S
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