Risk for Marijuana-Related Problems among College Students: An Application of Zero-Inflated Negative Binomial Regression

Simons, Jeffrey S.; Neal, Dan J.; Gaher, Raluca M.

doi:10.1080/00952990500328539

Cited by 65 publications

(53 citation statements)

References 26 publications

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“…Such a model allows zeroes to be accounted for by the binomial distribution and by the count distribution, thus allowing the model to fit the higher occurrence of zeroes in our outcome variables. The zero-inflated negative binomial model has been useful in predicting low base-rate phenomena in other studies (20,21). A Vuong test (17) indicated that the zero-inflated negative binomial model fit better than the negative binomial model.…”

Section: Methodsmentioning

confidence: 99%

Impact of Illness Management and Recovery Programs on Hospital and Emergency Room Use by Medicaid Enrollees

Salyers

Rollins²,

Clendenning³

et al. 2011

Psychiatric Services

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Objective Illness management and recovery is a structured program that helps consumers with severe mental illness learn effective ways to manage illness and pursue recovery goals. This study examined the impact of the program on health service utilization. Methods This was a retrospective cohort study of five assertive community treatment (ACT) teams in Indiana that implemented illness management and recovery. With Medicaid claims data from July 1, 2003, to June 30, 2008, panel data were created with person-months as the level of analysis, resulting in 14,261 observations, for a total of 498 unique individuals. Zero-inflated negative binomial regression models were used to predict hospitalization days and emergency room visits, including covariates of demographic characteristics, employment status, psychiatric diagnosis, and concurrent substance use disorder. The main predictor variables of interest were receipt of illness management and recovery services, dropout from the program, and program graduation status. Results Consumers who received some illness management and recovery services had fewer hospitalization days than those receiving only ACT. Graduates had fewer emergency room visits than did ACT-only consumers. Conclusions This is the first study to examine the impact of illness management and recovery on service utilization. Controlling for a number of background variables, the study showed that illness management and recovery programs were associated with reduced inpatient hospitalization and emergency room use over and above ACT.

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Section: Methodsmentioning

confidence: 99%

Impact of Illness Management and Recovery Programs on Hospital and Emergency Room Use by Medicaid Enrollees

Salyers

Rollins²,

Clendenning³

et al. 2011

Psychiatric Services

View full text Add to dashboard Cite

show abstract

“…For all variables the distributions were positively skewed, approximating a negative binomial distribution with the exception of a disproportionately large number of zero values. Thus, zero-infl ated negative binomial (ZINB) regression was selected as the primary analysis strategy (Atkins and Gallop, 2007;Heilbron, 1994;Hilbe, 2007;Simons et al, 2006). ZINB regression is a type of mixture model in which a negative binomial regression is fi t and excess zeros (i.e., over and above what is predicted by the negative binomial regression) are modeled using a logistic regression.…”

Section: Discussionmentioning

confidence: 99%

They Drink How Much and Where? Normative Perceptions by Drinking Contexts and Their Association to College Students'Alcohol Consumption

Lewis¹,

Litt²,

Blayney³

et al. 2011

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Prior research has shown that normative perceptions of others' drinking behavior strongly relates to one's own drinking behavior. Most research examining the perceived drinking of others has generally focused on specifi city of the normative referent (i.e., gender, ethnicity). The present study expands the research literature on social norms by examining normative perceptions by various drinking contexts. Specifi cally, this research aimed to determine if college students overestimate peer drinking by several drinking contexts (i.e., bar, fraternity/sorority party, non-fraternity/sorority party, sporting event) and to examine whether normative perceptions for drinking by contexts relate to one's own drinking behavior specifi c to these contexts. Method: Students (N = 1,468; 56.4% female) participated in a web-based survey by completing measures assessing drinking behavior and perceived descriptive drinking norms for various contexts. Results: Findings demonstrated that students consistently overestimated the drinking behavior for the typical same-sex student in various drinking contexts, with the most prominent being fraternity/sorority parties. In addition, results indicated that same-sex normative perceptions for drinking by contexts were associated with personal drinking behavior within these contexts. Conclusions: Results stress the importance of specifi city of social norms beyond those related to the normative referent. Clinical implications are discussed in terms of preventions and intervention efforts as well as risks associated with drinking in a novel context. (J. Stud. Alcohol Drugs, 72,

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“…ZIP regression is appropriate for modeling count data with excessive zeros (Muthén & Muthén, 1998-2006. A large positive Vuong test for nonnested models favored the use of a ZIP model over an ordinary Poisson regression, z = 6.79, p < .0001.…”

Section: Data Analysis Planmentioning

confidence: 99%

“…A large positive Vuong test for nonnested models favored the use of a ZIP model over an ordinary Poisson regression, z = 6.79, p < .0001. Maximum likelihood estimation with robust standard errors using a Monte Carlo numerical integration algorithm was employed for this analysis (for details see Muthén, 2004;Muthén & Muthén, 1998-2006. With a ZIP model, two regressions are simultaneously estimated.…”

Section: Data Analysis Planmentioning

confidence: 99%

“…For the primary analyses, missing data were handled using maximum likelihood estimation (MLE) procedures for count and categorical outcomes within Mplus 4.1 (Muthén & Muthén, 1998-2006. MLE uses all available information to generate parameter estimates rather than resorting to listwise deletion (for details see Schafer & Graham, 2002).…”

Section: Management Of Missing Datamentioning

confidence: 99%

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Early adolescent psychopathology as a predictor of alcohol use disorders by young adulthood

Pardini

White

Stouthamer‐Loeber

2007

Drug and Alcohol Dependence

148

147

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Few prospective studies have examined the relation between early adolescent conduct disorder symptoms and the development of alcohol use disorders (AUD) by young adulthood. The relative contribution of other forms of adolescent psychopathology (i.e., attention-deficit hyperactivity disorder, depression, anxiety/withdrawal) to the development of AUD also remains poorly understood. There is some suggestion that the co-occurrence of conduct disorder symptoms with other forms of psychopathology may interact synergistically in predicting later alcohol use problems. The current study explores these issues using data on 506 boys from the oldest sample of the Pittsburgh Youth Study. Consistent with prior research, early conduct disorder symptoms emerged as a consistent predictor of increased AUD symptoms and an alcohol dependence diagnosis by young adulthood. In contrast, adolescent boys with high levels of anxiety/withdrawal had lower levels of AUD symptoms and were less likely to develop alcohol dependence by young adulthood. Increased depression in early adolescence was associated with higher AUD symptoms and alcohol abuse and dependence diagnoses by young adulthood, but only for boys with high levels of conduct disorder symptoms. No evidence was found for a relation between attention-deficit hyperactivity disorder symptoms and AUD symptoms or diagnoses after controlling for co-occurring psychopathology.

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Risk for Marijuana-Related Problems among College Students: An Application of Zero-Inflated Negative Binomial Regression

Abstract: Results generally are consistent with theories of the differential association of social-environmental and biopsychological variables with use and problems, respectively. Zero-inflated regression models are a useful strategy to examine risk behaviors with low base rates.

Cited by 65 publications

References 26 publications

Impact of Illness Management and Recovery Programs on Hospital and Emergency Room Use by Medicaid Enrollees

Impact of Illness Management and Recovery Programs on Hospital and Emergency Room Use by Medicaid Enrollees

They Drink How Much and Where? Normative Perceptions by Drinking Contexts and Their Association to College Students'Alcohol Consumption

Early adolescent psychopathology as a predictor of alcohol use disorders by young adulthood

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