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Alcohol Problem

Alcohol Problem is a condition characterized by the inability to control or moderate alcohol consumption, leading to significant impairment in personal, social, or occupational functioning.
This may involve dependence, abuse, or harmful patterns of drinking that negatively impact an individual's health and well-being.
Alcohol Problems can have far-reaching consequences, affecting physical, mental, and social aspects of life.
Understanding the complexities and identifying effective interventions is crucial for addressing this widespread public health issue.

Most cited protocols related to «Alcohol Problem»

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Publication 2010
Alcohol Problem Amyotrophic Lateral Sclerosis Anger Angina Pectoris Anxiety Arthritis Asthma Cerebrovascular Accident Chronic Obstructive Airway Disease Cognition Coronary Artery Disease Diabetes Mellitus Disease, Chronic Epilepsy Fatigue Health Care Professionals Heart Heart Diseases Heart Failure High Blood Pressures Kidney Diseases Liver Diseases Lung Malignant Neoplasms Mental Disorders Migraine Disorders Multiple Sclerosis Myocardial Infarction Pain Patients Pharmaceutical Preparations Physical Examination Physicians Psychological Distress Satisfaction Sleep Disorders Spinal Cord Injuries
Interviews were conducted by trained research staff in a private setting and data were recorded anonymously, unaccompanied by any unique identifiers. Subjects were first asked the single screening question, “How many times in the past year have you used an illegal drug or used a prescription medication for non-medical reasons?” (where a response of ≥1 is considered positive). If asked to clarify the meaning of “non-medical reasons”, the research associate added "for instance because of the experience or feeling it caused”. After subjects responded to the single screening question, they were asked if they had ever experienced any of a list of problems related to drug use. For this we modified the previously described Short Inventory of Problems-Alcohol and Drug (SIP-AD) questionnaire, which asks about problems ever experienced in the subject’s lifetime related to alcohol or drug use8 (link). We modified this by eliminating the word alcohol from the questions, a modification we hereafter refer to as the Short Inventory of Problems- Drug Use (SIP-DU). In a separate analysis (but in these subjects) we determined the reliability and validity of the SIP-DU as a measure of drug use consequences 9 . The computerized version of the Composite International Diagnostic Interview (CIDI) Substance Abuse Module was used for the assessment of current (12-month) drug use disorders 10 . This structured interview yields a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnosis of drug abuse or dependence. In addition, as part of the CIDI, subjects were asked detailed questions about current (past year) use of illicit drugs (marijuana, cocaine, heroin, stimulants or hallucinogens) and non-medical use of prescription drugs. Following the interview subjects were asked to undergo oral fluid testing for the presence of common drugs of abuse (opiates, benzodiazepines, cocaine, methamphetamines, tetrahydrocannabinol (THC). Once collected, oral fluid was sent to an outside laboratory for analysis using methodology that yields results comparable to urine drug screening (Intercept™ immunoassay, OraSure Technologies, Bethlehem, PA)11 (link)–14 (link). In order to aid in the interpretation of drug test results subjects had been asked, as part of the interview, if they had recently been prescribed any drugs from a list of opiates or benzodiazepines. Because this question was added to the questionnaire during the study, responses were missing from 23 subjects who underwent oral fluid testing. Subjects were not told that they would be asked to undergo drug testing until the interview was complete. After completing the interview, they were compensated and thanked for their participation. They were then asked to undergo oral fluid testing and a second informed consent process was completed. Following the single drug screening question, but before the other assessments, the 10-item Drug Abuse Screening Test (DAST-10) was administered for comparison 4 (link). As part of a parallel study on screening for unhealthy alcohol use, subjects were also asked a single alcohol screening question (preceding the drug screening question), two other brief alcohol screening questionnaires and a calendar based assessment of past-month alcohol consumption (all after the drug screen and prior to the CIDI) 7 (link).
Publication 2010
Alcohol Problem Benzodiazepines Cannabis sativa Central Nervous System Stimulants Cocaine Diagnosis Dronabinol Drug Use Disorders Ethanol Hallucinogens Heroin Illicit Drugs Immunoassay Methamphetamine Opiate Alkaloids Pharmaceutical Preparations Substance Abuse Substance Abuse Detection Urine
As technology advances and interactive Internet-based assessments become more practical and common, it is important to validate this widespread measure for use in these domains. The benefits of collecting data using the Internet include ease and expanded time of survey access and recruitment, standardization of questions, reduced cost and time, and fewer data entry errors (Moore, Soderquist, & Werch, 2005 (link); Riva, Terruzi, & Anolli, 2003 (link); Strecher, 2007 ). Electronic methods may further provide a greater sense of anonymity, thereby reducing underreporting of undesirable or stigmatizing behaviors such as underage and illicit substance use (Farvolden, Cunningham, & Selby, 2009 ; Turner et al., 1998 (link)).
Existing studies have found relatively minor or no differences between data collected electronically versus more traditional paper-and-pencil and interview methods (Khadjesari et al., 2009 (link); Kypri, Gallagher, & Cashell-Smith, 2004 (link); Miller et al., 2002 (link)). In general, alcohol use measures such as the Alcohol Use Identification Test (Saunders, Aasland, Babor, de la Fuente, & Grant, 1993 (link)) and the Rutgers Alcohol Problem Index (White & Labouvie, 1989 (link)) appear to collect comparable data in both online and paper-and-pencil formats. To date, little research has evaluated standard TLFB interviews with self-administered Internet-based TLFB assessments. Hoeppner, Stout, Jackson, and Barnett (2010) (link) compared an online 7-day TLFB assessment to standard 30-day in-person TLFB interviews and found more proximal reports of behavior within the 7-day TLFB may have been more accurate than retrospectively reported behavior collected during the in-person interview. However, it is unclear if standard TLFB formats (e.g., retrospective reports of past 90 days) compare to traditional and online formats. Concerns exist when online translations of traditional paper-and-pencil or interview assessments are utilized in research without empirically testing the validity of the measure in the new format (Buchanan et al., 2005 (link); Del Boca & Darkes, 2003 (link); Gosling, Vazire, Srivastava, & John, 2004 (link)). Thus, the current study employed a randomized within-subjects design to evaluate utility of an online TLFB assessment. We compared participants’ reported past 90-day drinking and marijuana use on a standard in-person TLFB interview to a similar online-delivered version. It was hypothesized that participants would report similar amounts of drinking and marijuana use during both administrations of the TLFB. However, as a greater degree of anonymity from online questionnaires may help assist in greater reports of illegal and stigmatized behaviors (Turner et al., 1998 (link)), we hypothesized that those participants who reported less comfort during the in-person TLFB would report higher levels of alcohol and marijuana use on the online TLFB.
Publication 2012
Alcohol Problem Alcohols Brown Oculocutaneous Albinism Marijuana Use Medical Marijuana Substance Use
Although the MSUTR initially began as a university-based twin registry assessing undergraduate men and women, we moved to recruiting twins via birth records beginning in 2004. The Michigan Department of Health and Human Services (MDHHS; formerly known as the Michigan Department of Community Health) identifies twin pairs residing in lower Michigan who meet our study age criteria (see criteria below) and whose addresses or parents’ addresses (for twins who are minors) can be located either using driver’s license information obtained from the state of Michigan or the proprietary search engine used by police (since the MDHHS, as the state agency in charge of vital records, has direct access to individual SSNs, full names, and birth dates). Twins are identified either directly from birth records or via the Michigan Twins Project, a large-scale twin registry within the MSUTR that doubles as a recruitment resource for smaller, more intensive projects. Because birth records are confidential in Michigan, recruitment packets are mailed directly from the MDHHS to eligible twin pairs to ensure their confidentiality. Twins indicating interest in participation via pre-stamped postcards or e-mails/calls to the MSUTR project office are then contacted by study staff to determine study eligibility and to schedule their assessments.
Four recruitment mailings are used for each study to ensure optimal twin participation. Overall, response rates across studies (56–85%) are on par with or better than those of other twin registries that use similar types of anonymous recruitment mailings, and have thus far yielded largely representative samples. Families recruited into the families of the naturally-conceived twins in the large-scale Michigan Twins Project, for example, closely resemble families across the state of Michigan (Burt & Klump, 2012 (link)). The proportion of MTP families that identify as White, non-Hispanic is 81.0%, which is very similar to the 80.2% indicated in state-wide Census data. Mean family incomes are also quite comparable ($75,940 in the MTP versus $73,373 in the Census), as are the proportion of families with graduate or professional degrees (10.3% in the MTP versus 9.6% in the Census).
These successes extend to our smaller, more intensive in-person studies as well. For example, the 529 population-based twin families and 502 at-risk twin families in the completed Twin Study of Behavioral and Emotional Development in Children (TBED-C) were generally representative of recruited but non-participating families. As compared to non-participating twins, participating twins reported similar levels of conduct problems, emotional symptoms, or hyperactivity (d ranged from −.08 to .01 in the population-based sample and .01 to .09 in the at-risk sample; all ns). Participating families also did not differ from non-participating families in paternal felony convictions (d = −.01 and .13 for the population-based and the at-risk samples, respectively), rate of single parent homes (d = .10 and −.01 for the population-based and the at-risk samples, respectively), paternal years of education (both d ≤ .12), or maternal and paternal alcohol problems (d ranged from .03 to .05 across the two samples). However, participating mothers in both samples reported slightly more years of education (d = .17 and .26, both p < .05) than non-participating mothers. Maternal felony convictions differed across participating and non-participating families in the population-based sample (d = −.20; p < .05) but not in the at-risk sample (d = .02). In short, our recruitment procedures thus appear to yield samples that are representative of both recruited families and the general population of the state of Michigan.
Publication 2019
Alcohol Problem Childbirth Child Development Eligibility Determination Emotions Hispanics Mothers Parent Problem Behavior Steroid-Sensitive Nephrotic Syndrome Twins Woman
The CES-D is a self-report scale with 20 items designed to measure depressive symptoms in general population samples. Each item is assigned a value 0-4. There are four items that are positive-worded that have to be reverse scored, before computing the total score by adding each of the 20 items. The minimum score is 0 and the maximum score is 60. The CES-D measures common symptoms of major depression, including depressive mood, feelings of guilt and worthlessness, psychomotor retardation, loss of appetite, and sleep disturbance within the week prior to the interview. A score of 16 and above in the general population suggests symptoms of depression [27 (link)]. Reliability, validity, and factor structure have been found to be similar across a wide variety of demographic characteristics in general population samples that have been tested [32 (link),33 ]. In Uganda, the CES-D has been used to assess the prevalence of depression in HIV infected individuals, although it was not validated in this population [8 (link)].
The AUDIT was developed by the World Health Organisation (WHO) as a simple method of screening for excessive alcohol consumption in the past 12 months [28 (link),34 (link)]. It consists of 10 questions on recent alcohol use (items 1-3), alcohol dependency syndromes (items 4-6) and alcohol-related problems (items 7-10). Each of the 10 questions is rated on a four-point scale. The total score ranges from 0 to 40. A total score of 8 or more is recommended as an indicator of hazardous drinking behaviour [34 (link)].The AUDIT was developed and validated in multinational samples involving Kenya [28 (link)] and has been validated in South Africa [31 (link)].
Publication 2011
Alcohol Problem Alcohol Related Disorders Anorexia Depressive Symptoms Dyssomnias Guilt Mood

Most recents protocols related to «Alcohol Problem»

Participants were split into three small groups purposively chosen to ensure policy and academic and civil society representation. As a modelling team our shared belief was that alcohol use in South Africa presents a public health problem that warrants intervention, and that sufficient evidence exists to support pricing policies as a potentially cost-effective policy option. The specific objective of this exercise was to inform a problem-orientated conceptual model of the burden of alcohol in South Africa. This technique draws upon frameworks utilised within operational research for knowledge elicitation and brings together the stakeholder and researcher’s understanding of the problem in an accessible form [6 (link), 15 (link)–18 ].
A simplified map depicting causal pathways between consumption and alcohol harm in South Africa was presented and explained before each group took an A0 hardcopy to edit (Appendix 3, OSM). After 30 min the edited maps were presented back to the whole group. All changes were later merged onto one new diagram and further revisions added after email circulation post workshop.
Publication 2023
Alcohol Problem Ethanol Microtubule-Associated Proteins
Social anxiety was assessed with the French version (Douillez et al. 2008 ) of the Fear of Negative Evaluation (FNE; Watson and Friend 1969 (link)). The FNE consists of 30 items rated as 1 = “true” or 0 = “false” (e.g., “I am afraid others will not approve of me”). Scores range from 0 to 30 with higher scores indicating higher levels of social anxiety.
Paranoia was assessed with the French version (Della Libera et al. 2021 (link)) of the Green et al. Paranoid Thoughts Scale, part B (GPTS-B; Green et al. 2008 (link)). The GPTS-B consists of 16 items (e.g., “People have intended me harm”). Participants rate the intensity of such thoughts during the last month on a 5-point scale ranging from 1 = “not at all” to 5 = “totally”. Scores range from 16 to 80 with higher scores indicating a higher level of paranoia.
Severity of depressive symptoms experienced during the last 7 days were assessed with the French version (Fuhrer and Rouillon 1989 (link)) of the Center for Epidemiologic Studies—Depression (CES-D; Radloff 1977 (link)). The CES-D consists of 20 items rated on a scale ranging from 0 = “never” to 3 = “frequently, all the time”. Scores range from 0 to 60 with higher scores indicating higher symptom severity. In addition, a score of 16 or above indicates the presence of depressive symptomatology.
Alcohol consumption was assessed with the French version (Gache et al. 2005 (link)) of the Alcohol Use Disorder Identification Test (AUDIT; Saunders et al. 1993 (link)). The AUDIT includes 10 multiple-choice items measuring alcohol consumption, alcohol dependence and alcohol-related problems. A score ranging from 0 to 40 is obtained by adding the score of each item. A score above 10 indicates an at-risk consumption (Fleming et al. 1991 (link)).
Nicotine consumption was assessed with a series of questions where participants indicated whether they were smokers, former smokers or non-smokers. The average number of cigarettes smoked par day, the frequency and duration of their addiction were asked for smokers and former smokers. Former smokers were also asked to indicate when they stopped smoking, the number of years they smoked, and the average number of cigarettes they smoked each day. These questions allowed to identify the smoking pattern of the current and former smokers.
Publication 2023
Addictive Behavior Alanine Transaminase Alcoholic Intoxication, Chronic Alcohol Problem Alcohol Use Disorder Depressive Symptoms Fear Friend Nicotine Non-Smokers Paranoia Social Anxiety Thinking
The study primarily aimed to investigate the association between the resilience profile PLP derived by the study and the local area deprivation measured by WIMD among the children living in high household-level deprivation (FSM children). The current study, however, also investigated a similar association among the non-FSM children group, hence FSM-stratified analysis was performed. A supplementary analysis has discussed the interaction between FSM eligibility and WIMD. This study examined if a child's potential to leave poverty can be moderated by improvements in their in local built environment. This is measured by examining the association of the domains of WIMD (e.g. income, community safety, health, access to services, physical environment, housing) on a child's outcome in order to develop insight into the factors that best influence the child's trajectory. Logistic regression models were used to determine the association between local area deprivation measured by WIMD and achieving PLP amongst the children in Wales. The logistic regressor was augmented with stepwise bidirectional (forward and backward) search for optimal model selection (Burnham & Anderson, 2003 ). This method determines the best model with the minimum Akaike Information Criterion (AIC) and least significant features are excluded at each iteration step. The study has confirmed that there is no major concern around the high degree of correlation between predictor variables in the regression models by multicollinearity test (see Supplementary material collinearity test). Along with the explanatory variables, the stepwise logistic regression models have been adjusted for other covariates – such as exam year, gender, urban/rural classification of the living area, number of adults in the household, number of children in the household, living with someone who had an alcohol problem, living with someone who had depression, living with someone who had serious mental illness, child's special education need requirement – as these factors are also associated with the outcome variable. The odds ratio calculated with this adjustment has been reported throughout this work. The statistical significance of the explanatory variables and covariates have been interpreted by the p value less than 0.05. The data preparation including extraction, cleaning and linkage was performed in Structured Query Language (SQL) on an IBM DB2 platform and analyses were performed in the R statistical language version 3.3.2 (R Core Team, 2018 ).
Publication 2023
Adult Alcohol Problem Child Eligibility Determination Gender Households Mental Disorders Physical Examination Safety Special Education
The Alcohol Use Disorders Identification Test (AUDIT) [66 ,67 (link)] was used to assess participants’ alcohol abuse. The 10-item scale was designed by the World Health Organization to evaluate hazardous and harmful drinking. Items investigate the amount and frequency of alcohol intake, the presence of alcohol dependence symptoms, and the presence of alcohol-related problems, with answers rated on a 5-point scale ranging from 0 (never) to 4 (frequently or daily). The present study used the AUDIT mean total score. Male participants with a score ≥ 8 and female participants with a score ≥ 6 were considered high-risk drinkers in accordance with the guidelines set by previous studies [68 (link),69 ]. The AUDIT has been shown to have good psychometric properties in the Italian context [29 (link),69 ,70 (link)]. The present study confirmed the high reliability of the scale (Cronbach’s alpha = 0.80).
Publication 2023
Abuse, Alcohol Alcoholic Intoxication, Chronic Alcohol Problem Alcohol Use Disorder Females Males Psychometrics
Recruitment was conducted among alcohol-dependent patients from several Polish drug treatment centres in Kujawsko-Pomorskie (3 centres), Łódzkie (1 centre) and Podlaskie (1 centre). The total sample size was 130 persons (12 females and 118 males), due to missing data of some variables, the number of analysed variables may be smaller. Study subjects’ mean age was 43.0 years (24–78 years, SD=9.9). Patients were investigated twice using the same methods except for performing the SADD test and taking a swab for genetic testing. The study was longitudinally. The first examination was performed during a period of at least 2 weeks of abstinence maintenance (after the potential symptoms of the abstinence syndrome had resolved), ie, during the 2nd week of hospitalisation, and the second examination 4 weeks after the first examination (ie, up to the 6th week of hospitalisation). The study started with patients who had maintained alcohol abstinence for at least 2 weeks (considered to be week 2 of hospitalisation) in order to exclude possible abstinence symptoms interfering with the study. Thus, the study group is more clinically homogeneous. None of the subjects displayed alcohol withdrawal symptoms. It should be noted that each of the subjects participated in cognitive-behavioural psychotherapy and psychoeducation covering the issue of maintaining alcohol abstinence during hospitalisation. The therapeutic measures taken were independent methods of influencing patients outside the methodology of this study. Some of the patients studied were taking medication used in psychiatry or treatment of somatic disorders.
The inclusion criteria for the study group were age at least 18 years, no other addictions except alcohol and nicotine dependence, no symptoms of alcohol and nicotine abstinence syndrome, no metabolic diseases (eg, diabetes mellitus), ability to provide informed consent, no active viral or bacterial infections including liver dysfunction of an infectious nature.
Exclusion criteria were symptoms of abstinence syndrome, diagnosis of addiction other than alcohol and nicotine dependence, cognitive impairment preventing participation in the study, metabolic diseases and extremes of nutritional status.
The research was carried out using the face-to-face interview method. All questionnaires and measurements were carried out by specialised researchers.
During the interview with patients, information characterising the clinical situation (eg, duration of alcohol dependence, antiepileptic, antidepressant, anti-anxiety and antipsychotic medication taken) was collected. The following questionnaires were used in the study:
Publication 2023
Addictive Behavior Alcoholic Intoxication, Chronic Alcohol Problem Antidepressive Agents Antiepileptic Agents Antipsychotic Agents Anxiety Bacterial Infections Cognitive Therapy Diabetes Mellitus Diagnosis Diploid Cell Disorders, Cognitive Ethanol Face Females Infection Males Metabolic Diseases Natural Family Planning Methods Nicotine Nicotine Dependence Patients Pharmaceutical Preparations Syndrome Withdrawal Symptoms

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More about "Alcohol Problem"

Alcohol abuse, alcohol dependence, and alcohol use disorder are terms that describe the inability to control or moderate alcohol consumption, leading to significant impairment in personal, social, or occupational functioning.
This condition can have far-reaching consequences, affecting physical, mental, and social aspects of life.
Alcohol problems are a widespread public health issue that require effective interventions.
Statistical software like Stata (versions 14, 15, 16.1, and 17.0), SAS (version 9.4), SPSS (versions 22, 25, and 26), and PASW Statistics (version 22) can be utilized to analyze data and gain insights into the complexities of alcohol-related disorders.
Understanding the nuances of alcohol problems, such as dependence, abuse, and harmful drinking patterns, is crucial for addressing this challenge.
PubCompare.ai, an AI-driven tool, can help optimize alcohol research by facilitating data-driven decision making and enhancing reproducibility and accuracy in your studies.
Leveraging the power of data comparison across literature, pre-prints, and patents can unlock new possibilities in your alcohol research projects.