Social resources and alcohol-related losses as predictors of help seeking among male problem drinkers.

Hajema, KlaasJan; Knibbe, Ronald A.; Drop, Maria J.

doi:10.15288/jsa.1999.60.120

Cited by 48 publications

(46 citation statements)

References 27 publications

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“…Prior studies suggest that negative interpersonal consequences of drinking were most relevant in differentiating problem drinkers who do and who do not seek treatment (Hajema et al, 1999, Kaskutas et al, 1997. This study found that problems caused by drinking are relevant to the treatment-seeking process.…”

Section: Discussionmentioning

confidence: 59%

“…Indeed, drinking-related problems are more predictive of treatment seeking than the drinking behavior itself, such as amount or frequency (Hajema et al, 1999, Kaskutas et al, 1997. Recognizing a problem with alcohol use and the need for change is also more likely when emotional distress is substantial and when comorbid psychiatric problems exist, such as depression and anxiety (Green-Hennessy, 2002, Kirchner et al, 2000).…”

Section: Barriers At the Early Steps Of Treatment Seekingmentioning

confidence: 99%

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Person-related and treatment-related barriers to alcohol treatment

Saunders

Zygowicz

D'Angelo

2006

Journal of Substance Abuse Treatment

157

117

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Treatment underutilization by persons with alcohol use disorder is well-documented. This study examined barriers to treatment at the latter stages of the treatment-seeking process, which was conceptualized as recognizing the problem, deciding that change is necessary, deciding that professional help is required, and seeking care. All participants identified themselves as having a drinking problem that was severe enough to warrant treatment. Differences between those who had (Treatment Seekers) and those who had not (Comparison Controls) sought treatment were evaluated, including the experience of person-related (e.g., shame) and treatment-related (e.g., cost) barriers. Person-related barriers were more commonly endorsed by both groups than treatment-related barriers. Comparison Controls were more likely to endorse both types of barriers, especially the preference for handling the problem without treatment. Treatment-related barriers were less relevant than person-related barriers at the latter stage of help seeking. The significance of barriers endured after accounting for other differences, such as drinking-related negative consequences. Treatment implications are discussed.

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Section: Discussionmentioning

confidence: 59%

Section: Barriers At the Early Steps Of Treatment Seekingmentioning

confidence: 99%

Person-related and treatment-related barriers to alcohol treatment

Saunders

Zygowicz

D'Angelo

2006

Journal of Substance Abuse Treatment

157

117

View full text Add to dashboard Cite

show abstract

“…Demographic variables are often used to predict treatment entry; however, the research findings and conclusions have been inconsistent. For example, some approaches have found that gender (Kaskutas, Weisner, & Caetano, 1997;Weisner, 1993), race/ethnicity (Farabee, Leukefeld, & Hays, 1998;Lundgren, Amodeo, Ferguson, & Davis, 2001), and age (Hajema, Knobbed, & Drop, 1999;Kaskutas et al, 1997;Pfeiffer, Feuerlein, & Brenk-Schulte, 1991) are associated with treatment entry, whereas others have not found them to be important (Hasin, 1994;Hser et al, 1998;Tucker, 1995). McCoy et al (2001) reported that men were 1.3 times more likely not to want treatment and less likely to self-treat compared to women.…”

Section: Introductionmentioning

confidence: 99%

The Multidimensional Structure of Internal Barriers to Substance Abuse Treatment and Its Invariance across Gender, Ethnicity, and Age

Wang²,

Rapp³

et al. 2007

Journal of Drug Issues

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The goal of the present study was to identify the dimensions present in items representing internal barriers to substance abuse treatment and to test their invariance across gender, ethnic, and age groups. Twenty items from the Barriers to Treatment Inventory (BTI) were used to assess the structure and nature of the internal treatment barriers of 518 clients presenting to a central intake unit for a substance abuse assessment. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) revealed that a five factor model provided the best fit to the data. Internal treatment barriers were best described by five dimensions: absence of problem, negative social support, fear of treatment, privacy concerns, and committed lifestyle. Extending the confirmatory factor analysis to test multigroup invariance, there were some differences in measurement and structural relations among the internal barrier dimensions across gender, ethnic, and age groups. However, the lack of invariance was small and practically insubstantial. The findings led to the conclusion that the theoretical constructs measured by the five internal barrier dimensions are equivalent across important characteristics in this population.

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“…Gender, age group, race or ethnicity, education, marital status, family income, and employment status are reported to be associated with use of alcohol treatment services (10,11,13,16,17), with some variations by characteristics, such as age and ethnicity (16,18,19). Additional characteristics associated with the use of alcohol treatment services include symptoms of alcohol abuse or dependence and co-morbid drug use disorders (17,18,20).…”

mentioning

confidence: 99%

“…Additional characteristics associated with the use of alcohol treatment services include symptoms of alcohol abuse or dependence and co-morbid drug use disorders (17,18,20).…”

mentioning

confidence: 99%

Alcohol Use Disorders and the Use of Treatment Services Among College-Age Young Adults

Wu¹,

Pilowsky²,

Schlenger³

et al. 2007

Psychiatric Services

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Objectives-This study examined the utilization of and the perceived need for alcohol treatment services among college-age young adults (18-22 years) according to their educational status: fulltime college students, part-time college students, noncollege students (currently in school with the highest grade level below college), and nonstudents (N=11,337). This breakdown of young adults had not been addressed previously. Methods-Secondary analyses were conducted on data from the 2002 National Survey on Drug Use and Health.Results-Full-time college students (21%) were as likely to have an alcohol use disorder as nonstudents (19%), but were more likely than part-time college students (15%) and noncollege students (12%). Only 4% of full-time college students with an alcohol use disorder received any alcohol services in the past year. Of those with an alcohol use disorder who did not receive treatment services, only 2% of full-time college students, close to 1% of part-time college students, and approximately 3% of young adults who were not in college reported a perceived need for alcohol treatment. Full-time college students were less likely than noncollege students to receive treatment for alcohol use disorders. All young adults with an alcohol use disorder were very unlikely to perceive a need for alcohol treatment or counseling.Conclusions-College-age adults have a high prevalence of alcohol use disorders, yet they are very unlikely to receive alcohol treatment or early intervention services or to perceive a need for such services. Underutilization of alcohol-related services among college-age young adults deserves greater research attention.An estimated 44% of U.S. college students are binge drinkers (1). Excessive drinking in late adolescence and early adulthood can have serious consequences, including injuries (2), risky sexual behaviors (3,4), and poor academic performance (5).Binge drinking and heavy alcohol use among college students have been studied extensively, and an increasing number of studies have focused on early detection and intervention programs for college students (6,7). However, alcohol use disorders among college students have received less research attention until recently (3,8,9). In particular, little is known about the use of alcohol treatment services among 18-to 22-year-olds.The authors report no competing interests. Studies of use of alcohol treatment services have typically covered a very wide age range rather than focusing specifically on young adults (10-14). Andersen's behavioral model of health service utilization (11,13,15,16) suggests that the use of treatment services is determined by predisposing characteristics, such as demographic characteristics and attitudes toward treatment or illness; enabling characteristics, such as family income; and needs-related characteristics, such as severity of alcohol problems. NIH Public AccessGender, age group, race or ethnicity, education, marital status, family income, and employment status are reported to be associated with use of a...

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Social resources and alcohol-related losses as predictors of help seeking among male problem drinkers.

Cited by 48 publications

References 27 publications

Person-related and treatment-related barriers to alcohol treatment

Person-related and treatment-related barriers to alcohol treatment

The Multidimensional Structure of Internal Barriers to Substance Abuse Treatment and Its Invariance across Gender, Ethnicity, and Age

Alcohol Use Disorders and the Use of Treatment Services Among College-Age Young Adults

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