Drinking Patterns and Their Predictive Factors in CONTROL: a 12-Month Prospective Study in a Sample of Alcohol-Dependent Patients Initiating Treatment

Daeppen, Jean‐Bernard; Faouzi, Mohamed; Sanglier, Thibaut; Sanchez, Nathalie; Coste, F; Bertholet, Nicolas

doi:10.1093/alcalc/ags125

Cited by 8 publications

(12 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CONTROL included 143 participants, followed for up to 487 days. Full details of the CONTROL study design have been published previously [ 26 , 27 ]. The primary objective of CONTROL was to describe the drinking patterns of patients with alcohol dependence and their baseline predictive factors during a 12-month period.…”

Section: Methodsmentioning

confidence: 99%

“…The primary objective of CONTROL was to describe the drinking patterns of patients with alcohol dependence and their baseline predictive factors during a 12-month period. More specifically, it intended to describe the population of patients with alcohol dependence, their disease management and their evolution in terms of alcohol consumption, social consequences, quality of life and resource use, after an initial evaluation for alcohol treatment [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the consequences of a reduction in alcohol consumption among patients with alcohol dependence based on real-life observational data

et al. 2015

Self Cite

View full text Add to dashboard Cite

BackgroundMost available pharmacotherapies for alcohol-dependent patients target abstinence; however, reduced alcohol consumption may be a more realistic goal. Using randomized clinical trial (RCT) data, a previous microsimulation model evaluated the clinical relevance of reduced consumption in terms of avoided alcohol-attributable events. Using real-life observational data, the current analysis aimed to adapt the model and confirm previous findings about the clinical relevance of reduced alcohol consumption.MethodsBased on the prospective observational CONTROL study, evaluating daily alcohol consumption among alcohol-dependent patients, the model predicted the probability of drinking any alcohol during a given day. Predicted daily alcohol consumption was simulated in a hypothetical sample of 200,000 patients observed over a year. Individual total alcohol consumption (TAC) and number of heavy drinking days (HDD) were derived. Using published risk equations, probabilities of alcohol-attributable adverse health events (e.g., hospitalizations or death) corresponding to simulated consumptions were computed, and aggregated for categories of patients defined by HDDs and TAC (expressed per 100,000 patient-years). Sensitivity analyses tested model robustness.ResultsShifting from >220 HDDs per year to 120–140 HDDs and shifting from 36,000-39,000 g TAC per year (120–130 g/day) to 15,000–18,000 g TAC per year (50–60 g/day) impacted substantially on the incidence of events (14,588 and 6148 events avoided per 100,000 patient-years, respectively). Results were robust to sensitivity analyses.ConclusionsThis study corroborates the previous microsimulation modeling approach and, using real-life data, confirms RCT-based findings that reduced alcohol consumption is a relevant objective for consideration in alcohol dependence management to improve public health.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2606-4) contains supplementary material, which is available to authorized users.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Modelling the consequences of a reduction in alcohol consumption among patients with alcohol dependence based on real-life observational data

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Kravitz ve ark., (18) yaptıkları çalışmada ise, alkole başlama yaşının, bağımlılık süresinin, içme yoğunlu-ğunun, geçmiş yoksunluk deneyimlerinin, Daeppen ve ark., (19) önceki detoksifikasyon tedavileri sayısının ve alkol-maddeye yine başlama nedenlerinin yaşam kalitesini etkileyebileceğini ileri sürmüşlerdir. (20) , Goldstein ve ark., (21) alkol bağımlılarında yaşam kalitesinin temel belirliyicilerinin, önem sırasına göre, bağımlılık şiddeti, iş durumu, psikiyatrik öykü, kullanılan alkolün sıklığı ve miktarı, adsız alkolikler (AA) başvurusu, genel sağ-lık durumu, yaş, cinsiyet ve eğitim durumu olduğunu belirtmişlerdir.…”

Section: Alkol Bağımlılığında Yaşam Kalitesiunclassified

“…Depresif ve depresif olmayan alkol bağım-lısı kadın hastaların incelendiği çalışmalarda, depresif kadın bağımlıların aile ilişkileri temel olmak üzere tüm alanlarda depresif olmayanlara göre daha çok desteğe gereksinim duydukları ve daha sık hastane başvurularının olduğu gözlenmiştir (17,19) .…”

Section: Hunt Ve Mcewenunclassified

Alcohol Dependence and The Quality Of Life

Dişsiz¹

2015

Jaren

View full text Add to dashboard Cite

ÖZ GİRİŞAlkol-madde bağımlılığı çok boyutlu ve kronik bir hastalıktır. Bağımlılık; kişinin zarar gördüğü halde madde kullanmaya devam etmesi, kullandığı maddeyi uzun süre bırakamaması, sürekli madde arayışı içinde olması, kullandığı madde dozunu giderek arttırması ile karakterize fiziksel, bilişsel ve davranışsal belirtilerle seyreden bir tablodur (1) . Yalnızca alkol tüketimi ve bağımlılık sendromuyla sınırlı değildir, yaşamın fiziksel, ruhsal ve sosyal tüm boyutlarını etkilemekte ve etkileri zamanla değişmektedir.Yapılan çalışmalarda, uyuşturucu ve uyarıcı maddelerin kullanımıyla gelişen bağımlılığın; kişinin fiziksel, ruhsal, sosyal, cinsel sağlığını ve dolayısıyla yaşam kalitesini etkilediği belirtilmektedir (2)(3)(4)(5) . Yaşam Kalitesi KavramıBireyin görünürdeki fiziksel ve zihinsel sağlıklı olma durumu, yaşamın "iyi" olarak algılaması, kişinin mutluluğu ve başkalarına bağımlı olmadan işlerini yaparak yaşamın tadını çıkarması anlamına gelen yaşam kalitesinin, kronik bir sağlık sorunu olan alkol

show abstract

“…A review of the literature in which regression mixtures are used showed a lack of consensus in the specification of residual variances; some authors freely estimated the class-specific residual variance (Daeppen et al, 2013; Ding, 2006; Lee, 2013), while others constrained them to be equal across classes (Muthén & Asparouhov, 2009). Interestingly, the majority of the studies employing regression mixtures gave no information about residual variance specifications whether the equality constraint has been imposed or not (Lanza et al, 2013; Lanza, Kugler, & Mathur, 2011; Liu & Lu, 2011; Schmeige, Levin, & Bryan, 2009; Wong & Maffini, 2011; Wong et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation study

et al. 2015

View full text Add to dashboard Cite

Regression mixture models are a novel approach for modeling heterogeneous effects of predictors on an outcome. In the model building process residual variances are often disregarded and simplifying assumptions made without thorough examination of the consequences. This simulation study investigated the impact of an equality constraint on the residual variances across latent classes. We examine the consequence of constraining the residual variances on class enumeration (finding the true number of latent classes) and parameter estimates under a number of different simulation conditions meant to reflect the type of heterogeneity likely to exist in applied analyses. Results showed that bias in class enumeration increased as the difference in residual variances between the classes increased. Also, an inappropriate equality constraint on the residual variances greatly impacted estimated class sizes and showed the potential to greatly impact parameter estimates in each class. Results suggest that it is important to make assumptions about residual variances with care and to carefully report what assumptions were made.

show abstract

Drinking Patterns and Their Predictive Factors in CONTROL: a 12-Month Prospective Study in a Sample of Alcohol-Dependent Patients Initiating Treatment

Cited by 8 publications

References 40 publications

Modelling the consequences of a reduction in alcohol consumption among patients with alcohol dependence based on real-life observational data

Modelling the consequences of a reduction in alcohol consumption among patients with alcohol dependence based on real-life observational data

Alcohol Dependence and The Quality Of Life

Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation study

Contact Info

Product

Resources

About