Alcohol Consumption Patterns in a Primary Care Population

Buchsbaum, David G.; Buchanan, R; Lawton, Marcia J.; Schnoll, Sidney H.

doi:10.1093/oxfordjournals.alcalc.a045103

Cited by 49 publications

(16 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The measure of drinking history was the CAGE instrument for the clinical assessment of alcohol disorders (Buchsbaum et al, 1991). The CAGE score is based on answers to four questions: "Have you ever felt you should cut down your drinking?"…”

Section: Multinomial Logit Analysis Of Drinking Categorymentioning

confidence: 99%

“…Item responses on the CAGE are scored 0 or 1, with a higher score indicating the presence of an alcohol problem. Although the CAGE does not provide a Diagnostic and Statistical Manual of Mental Disorder, Third Edition, Revised (American Psychiatric Association, 1987), diagnosis of alcohol abuse or dependence (Girela et al, 1994), it has been validated as a clinical screening tool (Buchsbaum et al, 1991;Chan et al, 1994;Girela et al, 1994;Mayfi eld et al, 1974;McIntosh et al, 1994). Because we used values of CAGE obtained from the baseline interview and the questions referred to behaviors that occurred at any time in the past, the CAGE score (range: 0-4) measured the person's drinking history before baseline.…”

Section: Multinomial Logit Analysis Of Drinking Categorymentioning

confidence: 99%

See 1 more Smart Citation

Alcohol-Consumption Trajectories and Associated Characteristics Among Adults Older Than Age 50

Platt¹,

Sloan²,

Costanzo³

2010

J. Stud. Alcohol Drugs

108

118

View full text Add to dashboard Cite

ABSTRACT. Objective: This study examined changes in drinking behavior after age 50 and baseline personal characteristics and subsequent life events associated with different alcohol-consumption trajectories during a 14-year follow-up period. Method: Data were taken from the Health and Retirement Study. The study sample included individuals ages 51-61 in 1992 who survived the sample period (1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006) and had at least fi ve interviews with alcohol consumption information, yielding an analysis sample of 6,787 (3,760 women). We employed linear regression to determine drinking trajectories over 1992-2006. Based on these fi ndings, each sample person was classifi ed into one of fi ve drinking categories. We used multinomial logit analysis to assess the relationship between personal demographic, income, health, and attitudinal characteristics as well as life events and drinking-trajectory category. Results:Overall, alcohol consumption declined. However, rates of decline differed appreciably among sample persons, and for a minority, alcohol consumption increased. Persons with increasing consumption over time were more likely to be affl uent (relative-risk ratio [RRR] = 1.09, 95% CI [1.05, 1.12]), highly educated (RRR = 1.20, 95% CI [1.09, 1.31]), male, White (RRR = 3.54, 95% CI [1.01, 12.39]), unmarried, less religious, and in excellent to good health. A history of problem drinking before baseline was associated with increases in alcohol use, whereas the reverse was true for persons with histories of few or no drinking problems. Conclusions: There are substantial differences in drinking trajectories at the individual level in midlife and late life. A problem-drinking history is predictive of alcohol consumption patterns in later life. (J. Stud. Alcohol Drugs, 71, 169-179, 2010)

show abstract

Section: Multinomial Logit Analysis Of Drinking Categorymentioning

confidence: 99%

Section: Multinomial Logit Analysis Of Drinking Categorymentioning

confidence: 99%

Alcohol-Consumption Trajectories and Associated Characteristics Among Adults Older Than Age 50

Platt¹,

Sloan²,

Costanzo³

2010

J. Stud. Alcohol Drugs

108

118

View full text Add to dashboard Cite

show abstract

“…[1][2][3] In a meta-analysis of five in primary care studies the pooled prevalence of lifetime problem drinking was 19.8%. 4 Many authors have therefore suggested that GPs are well positioned to identify and manage alcohol problems.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of one or two simple questions to identify alcohol-use disorder in primary care: a meta-analysis

et al. 2014

View full text Add to dashboard Cite

BackgroundThere is much interest in ultra-short alcohol screening in primary care that may support brief alcohol interventions. Brief screening consisting of one or two questions might be used alone or in combination with longer tests as recommended by the Primary Care Service Framework. AimTo investigate whether a simple one and two question screening might prove an accurate and acceptable screening method in primary care. Design and settingA systematic literature search, critical appraisal and meta-analysis were conducted. MethodA comprehensive search identified 61 analyses of single questions to detect alcohol problems including 17 that took place in primary care, using a robust interview standard. Despite focusing alcohol-use disorder in primary care settings, heterogeneity remained high, therefore random effects and bivariate meta-analyses were used. ResultsAfter adjustments, diagnostic accuracy of a single-question approach was given by a sensitivity of 54.5% (95% CI = 43.0% to 65.5%) and a specificity of 87.3% (95% CI = 81.5% to 91.5%) using meta-analytic weighting. Two questions had a sensitivity of 87.2% (95% CI = 69.9% to 97.7%) and specificity of 79.8% (95% CI = 75.7% to 83.6%). Looking at each question individually, the most successful single question was a modification of the Single Alcohol Screening Question (SASQ) namely, 'How often do you have six or more drinks on one occasion?'. The optimal approach appears to be two questions followed by the CAGE questionnaire, which achieved an overall accuracy of 90.9% and required only 3.3 questions per attendee. ConclusionTwo brief questions can be used as an initial screen for alcohol problems but only when combined with a second-step screen. A brief alcohol intervention should be considered in those individuals who answer positively on both steps. Keywordsalcohol; diagnostic accuracy; diagnostic validity; primary care; sensitivity; specificity.

show abstract

“…EAVY DRINKING and alcohol abuse and/or dependence are common among primary care patients, [1][2][3] and result in considerable suffering, [4][5][6] mortality, 4,5,7,8 and economic costs. 9 The risk of alcohol-related psychosocial, legal, and economic problems increases when drinking exceeds 14 drinks a week or 5 or more drinks per occasion for men.…”

mentioning

confidence: 99%

The AUDIT Alcohol Consumption Questions (AUDIT-C)<subtitle>An Effective Brief Screening Test for Problem Drinking</subtitle>

et al. 1998

View full text Add to dashboard Cite

Objective: To evaluate the 3 alcohol consumption questions from the Alcohol Use Disorders Identification Test (AUDIT-C) as a brief screening test for heavy drinking and/or active alcohol abuse or dependence. Methods:Patients from 3 Veterans Affairs general medical clinics were mailed questionnaires. A random, weighted sample of Health History Questionnaire respondents, who had 5 or more drinks over the past year, were eligible for telephone interviews (N = 447). Heavy drinkers were oversampled 2:1. Patients were excluded if they could not be contacted by telephone, were too ill for interviews, or were female (n = 54). Areas under receiver operating characteristic curves (AUROCs) were used to compare mailed alcohol screening questionnaires (AUDIT-C and full AUDIT) with 3 comparison standards based on telephone interviews: (1) past year heavy drinking (Ͼ14 drinks/week or Ն5 drinks/ occasion); (2) active alcohol abuse or dependence according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition, criteria;and (3) either.Results: Of 393 eligible patients, 243 (62%) completed AUDIT-C and interviews. For detecting heavy drinking, AUDIT-C had a higher AUROC than the full AUDIT (0.891 vs 0.881; P = .03). Although the full AUDIT performed better than AUDIT-C for detecting active alcohol abuse or dependence (0.811 vs 0.786; P<.001), the 2 questionnaires performed similarly for detecting heavy drinking and/or active abuse or dependence (0.880 vs 0.881).Conclusions: Three questions about alcohol consumption (AUDIT-C) appear to be a practical, valid primary care screening test for heavy drinking and/or active alcohol abuse or dependence.

show abstract

Alcohol Consumption Patterns in a Primary Care Population

Cited by 49 publications

References 0 publications

Alcohol-Consumption Trajectories and Associated Characteristics Among Adults Older Than Age 50

Alcohol-Consumption Trajectories and Associated Characteristics Among Adults Older Than Age 50

Accuracy of one or two simple questions to identify alcohol-use disorder in primary care: a meta-analysis

The AUDIT Alcohol Consumption Questions (AUDIT-C)<subtitle>An Effective Brief Screening Test for Problem Drinking</subtitle>

Contact Info

Product

Resources

About