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

Abstract

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: full-time 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.

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.

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).

A prior study reported that 6% of college students with alcohol dependence had received alcohol treatment services since starting college (3). However, the characteristics and specific symptoms of alcohol use disorders that were associated with treatment in this group were not examined, nor were the full-time students compared with others of the same age who were not in college full-time. Planning of treatment delivery requires information about all relevant groups.

Because full-time college students, part-time college students, noncollege students (those in school at a grade level below college), and nonstudents may differ in important ways, we examined the following questions among young adults who met criteria for an alcohol use disorder: What personal and clinical characteristics were associated with the receipt of alcohol services, and did this differ by educational status? What personal and clinical characteristics were associated with perceiving a need for alcohol treatment, and did this differ by educational status? Were particular symptoms of alcohol use disorder as specified in DSM-IV (21) associated with receiving or perceiving a need for alcohol treatment?

Methods

Data sources

Statistical analyses were based on data from the public use file of the 2002 National Survey on Drug Use and Health (NSDUH), formerly known as the National Household Survey on Drug Abuse. The survey is conducted annually to collect data on substance use and disorders by civilian, noninstitutionalized Americans ages 12 or older (22). It uses multistage area probability sampling methods (23) to select survey respondents, including residents of noninstitutional group quarters (shelters, rooming houses, dormitories, and group homes), residents of all 50 states and the District of Columbia, and civilians residing on military bases.

To increase respondents' willingness to report substance use behaviors (24), the survey uses a combination of computer-assisted personal interviewing and audio computer-assisted self-interviewing (ACASI) methodologies. ACASI was used for sensitive survey items, for which respondents either read the questions silently on a computer screen or listened to questions being read aloud on the computer through headphones and then entered their responses directly into the computer. The data collection procedures were approved by the Committee for the Protection of Human Subjects at RTI International.

A total of 68,126 individuals ages 12 or older participated in the 2002 survey. A weighted screening response rate of 91% was achieved, and the weighted interview response rate was 79%. Analysis weights were developed to adjust for variation in household selection, nonresponse, and poststratification of the selected sample to census data. The annual sample of NSDUH is considered representative of the U.S. general population of ages 12 and older. Its design and data collection procedures have been reported in detail elsewhere (22).

Study variables

College enrollment

Our sample consisted of 11,337 college-age young adults. In NSDUH college-age young adults were defined as those 18 to 22 years old, and they were categorized into two main groups: full-time college students and persons not enrolled full-time in college (22). Using questions about current education and enrollment status, the NSDUH further classified the latter group into three groups: part-time college students, noncollege students (for example, students currently in a school other than a college or who did not provide information on college enrollment), and nonstudents (not in school). The group of noncollege students might include high school students, students in a GED program, and those studying at a technical or vocational school.

Demographic characteristics

We examined the following self-reported respondent characteristics: age, race or ethnicity, marital status, employment status (employed, unemployed or laid off, and not employed in the labor force), total family income, and population density of the area where the respondent lived (large metropolitan areas with a population of one million or more, small metropolitan areas with a population less than one million, and nonmetropolitan areas outside a metropolitan statistical area) (22).

Past-year alcohol and drug use disorders

Past-year alcohol use disorders and drug use disorders were assessed with DSM-IV criteria (21,22). Alcohol dependence referred to the presence of at least three alcohol dependence criteria in the past year. Alcohol abuse included respondents who reported a pattern of symptoms that met DSM-IV alcohol abuse criteria in the past year and who did not meet criteria for dependence. “Any drug dependence” referred to meeting criteria for DSM-IV drug dependence for one or more of the following drugs in the past year: cocaine or crack, marijuana or hashish, heroin, hallucinogens, inhalants, sedatives, tranquilizers, pain relievers, and stimulants. “Any drug abuse” included DSM-IV–defined abuse of any of these drugs in the past year. Four mutually exclusive groups of drug use were defined: no use in the past year, use without abuse or dependence, abuse, and dependence. Years of alcohol use were obtained by subtracting age of onset of alcohol use from the age at interview and were categorized into three groups (one to two years, three to four years, and five or more years).

Utilization of alcohol treatment services

Respondents were asked about past-year use of substance abuse services, the treatment setting (residential addiction rehabilitation facilities, mental health facilities, private doctors' offices, hospitals, jails or prisons, or self-help groups), and whether the service received was for alcohol-related problems. A specialty service referred to the receipt of alcohol services in any of the following settings: inpatient alcohol treatment or any alcohol treatment services at a residential addiction center or at a mental health facility (19).

Perceived need for treatment and reasons for not receiving services

The subsample of respondents who reported not receiving any alcohol-related treatment or counseling in the prior year were asked whether they felt they needed alcohol-related treatment or counseling during this period. A positive response to this question was defined as perceiving a need for alcohol treatment services (19). Those who reported a need for services were asked to identify the reasons for not receiving these services.

Data analysis

Because NSDUH uses multistage probability sampling methods, the data were weighted and analyzed by SUDAAN software (25) to account for complex design effects. All percentages reported in this article are weighted estimates, whereas sample sizes are unweighted.

We first examined the prevalence of alcohol use disorders by college enrollment status. Among past-year alcohol users, we conducted logistic regression analyses to determine the association of alcohol use disorder with college enrollment status and the other potential correlates. We then determined the characteristics associated with the use of alcohol services among young adults with an alcohol use disorder. Among the subsample of young adults with an alcohol use disorder who did not receive any alcohol services, we examined their perceived needs for these services. Finally, we determined whether service use and the perceived need for services varied by specific symptoms of alcohol use disorders. We report odds ratios (ORs) from the logistic regression procedures that denoted the strength of an association between a dichotomous outcome variable (service use) and the potential correlates (college enrollment status).

Results

Sociodemographic characteristics

Of all young adults ages 18 to 22 (N=11,333), 38% were full-time college students, 7% were part-time college students, 11% were noncollege students, and 45% were nonstudents. These proportions did not vary by gender or age group. Approximately 38% of young adults were from non-white minority groups, 9% had ever been married, and 69% were currently employed.

Alcohol use disorders, by college enrollment status

Among all young adults ages 18 to 22, close to 19% met criteria for past-year alcohol use disorders (11.3% for abuse and 7.4% for dependence), and 9% met criteria for past-year drug use disorders (2.9% for abuse and 6.1% for dependence). Table 1 shows that college enrollment status was associated with alcohol use disorder (χ²=41.54, df=3, p<.001). Full-time college students had a higher prevalence (21%) of alcohol use disorder than part-time college students (15%) and noncollege students (12%). Alcohol dependence was higher among full-time college students (8%) than among other students (3%–5%) but similar to that of nonstudents (8%).

Table 1.

Past-year prevalence (percentage) of alcohol and drug abuse or dependence among young adults ages 18 to 22 in the 2002 National Survey on Drug Use and Health^a

	Abuse				Dependence				Abuse or dependence
Group	Prev- alence	χ2	df	pb	Prev- lence	χ2	df	pb	Prev- lence	χ2	df	pb
Alcohol use disorderc
Overall prevalence	11.3				7.4				18.7
Full-time college students	12.5	8.9	3	.031	8.1	41.5	3	<.001	20.6	41.5	3	<.001
Part-time college students	9.9				4.9				14.8
Noncollege students	9.1				3.1				12.2
Nonstudents	11.0				8.2				19.2
Any drug use disorderd
Overall prevalence	2.9				6.1				9.0
Full-time college students	2.3	9.8	3	.021	5.6	6.3	3	ns	7.9	10.3	3	.017
Part-time college students	2.2				5.8				8.1
Noncollege students	3.4				5.0				8.5
Nonstudents	3.5				6.8				10.2

^aUnweighted sample of 11,333; four respondents with unknown educational status were not included in the analysis. All prevalence rates are weighted estimates.

^bBecause sample sizes were large, p values less than .01 were considered significant.

^cSample sizes were 1,334 for abuse, 877 for dependence, and 2,211 for abuse or dependence.

^dSample sizes were 350 for abuse, 702 for dependence, and 1,052 for abuse or dependence.

Characteristics associated with alcohol use disorders among past-year alcohol users (N=8,881) are reported in Table 2. Part-time college students and noncollege students were less likely than full-time college students to meet criteria for an alcohol use disorder, whereas there was no difference in the odds of having an alcohol use disorder between full-time college students and nonstudents.

Table 2.

Likelihood of past-year alcohol use disorder among young adults ages 18 to 22 who used alcohol in the past year^a

	Logistic regression model
	Unadjusted		Adjustedb
Variable	OR	95% CI	OR	95% CI
College enrollment
Full-time college students	1.00		1.00
Part-time college students	.67	.52–.86**	.70	.53–.93*
Noncollege students	.71	.55–.90**	.70	.53–.94*
Nonstudents	.97	.85–1.11	.90	.77–1.04
Age in years
18	1.00		1.00
19	1.28	1.07–1.53**	1.03	.83–1.27
20	.99	.81–1.21	.76	.60–.97*
21	1.25	1.04–1.50*	.90	.72–1.13
22	1.12	.93–1.34	.88	.69–1.12
Gender
Male	1.81	1.60–2.04***	1.63	1.43–1.86***
Female	1.00		1.00
Race or ethnicity
Non-Hispanic black	.50	.41–.62***	.58	.46–.73***
Hispanic	.81	.66–.98*	.94	.76–1.16
American Indian or Alaska Native	1.32	.72–2.39	1.05	.55–2.01
Asian, Pacific Islander, or Native
Hawaiian	.64	.42–.98*	.85	.55–1.33
More than one race	1.25	.77–2.03	1.07	.64–1.81
Non-Hispanic white	1.00		1.00
Marital status
Never been married	1.96	1.51–2.53***	1.56	1.16–2.10**
Ever married	1.00		1.00
Employment status
Unemployed or laid off	1.24	1.01–1.53*	1.08	.86–1.36
Not employed in labor force	.97	.83–1.13	.97	.81–1.15
Employed	1.00		1.00
Total family income
<$20,000	1.00		1.00
$20,000–$39,999	.75	.64–.88***	.87	.73–1.03
$40,000–$74,999	.76	.65–.89***	.82	.69–.97*
$75,000 and higher	.84	.71–1.00	.83	.68–1.02
Population density
Large metropolitan areas	.75	.64–.88***	.71	.59–.85***
Small metropolitan areas	1.03	.88–1.19	.90	.77–1.06
Nonmetropolitan areas	1.00		1.00
Years since onset of alcohol use
1–2	1.00		1.00
3–4	2.25	1.85–2.73***	1.76	1.44–2.17***
≥5	3.88	3.23–4.66***	2.87	2.33–3.53***
Past-year drug use
Use without abuse or dependence	2.85	2.47–3.30***	2.38	2.05–2.77***
Abuse	8.00	5.99–10.68***	6.16	4.56–8.32***
Dependence	7.31	5.95–8.99***	5.62	4.52–6.99***
No use	1.00		1.00

^aUnweighted sample of 8,881

^bIncludes all variables listed in the first column

^*p≤.05

^**p≤.01

^***p≤.001

Men, non-Hispanic white students (compared with non-Hispanic black students), those who had never been married, those in the lowest level of family income (compared with those with a family income between $40,000 and $74,999), and young adults residing in nonmetropolitan areas (compared with those in large metropolitan areas) had increased odds of having alcohol use disorders. More years of alcohol use and having a drug disorder or using drugs were highly associated with alcohol use disorders.

Service utilization, by college enrollment status

The prevalence and likelihood of past-year use of alcohol treatment services are reported in Table 3. Use of specialty alcohol treatment (data not shown) was defined as a subset of overall treatment service use. Among those with an alcohol use disorder, very few full-time college students used services: 3.9% used any services and 1.9% used specialty services. The prevalence for part-time college students was 7.4% and 2.8%, respectively. Noncollege students were slightly more likely than the other groups to use services: 9.8% and 7.3% used any services and specialty services, respectively.

Table 3.

Likelihood of using alcohol treatment services among young adults ages 18 to 22 who met criteria for alcohol use disorders in the past year^a

		Logistic regression model
	Prevalence of service use (%)	Unadjusted		Adjustedb
Variable		OR	95% CI	OR	95% CI
College enrollment
Full-time college students	3.9	1.00		1.00
Part-time college students	7.4	1.95	.67–5.68	2.52	.83–7.66
Noncollege students	9.8	2.67	1.23–5.78*	2.87	1.17–7.01*
Nonstudents	5.6	1.46	.90–2.37	1.67	.99–2.84
Age in years
18–20	6.5	1.00		1.00
21–22	3.8	.57	.36–.89*	.51	.31–.82**
Gender
Male	5.4	1.05	.66–1.67	1.02	.63–1.64
Female	5.2	1.00		1.00
Race or ethnicity
Non-Hispanic black	2.8	.47	.17–1.33	.41	.14–1.20
Hispanic	4.3	.73	.36–1.49	.60	.29–1.24
Other	4.4	.75	.28–1.99	.81	.30–2.23
White	5.8	1.00		1.00
Marital status
Never been married	5.4	1.88	.61–5.82	1.92	.58–6.38
Ever married	3.0	1.00		1.00
Employment status
Unemployed or laid off	7.3	1.51	.75–3.03	1.18	.59–2.37
Other	5.6	1.15	.64–2.06	1.20	.62–2.32
Employed	4.9	1.00		1.00
Total family income
<$20,000	5.1	1.00		1.00
$20,000–$39,999	4.9	.97	.51–1.85	.89	.46–1.72
$40,000–$74,999	7.4	1.51	.83–2.75	1.20	.65–2.19
$75,000 and higher	3.6	.70	.31–1.58	.52	.23–1.20
Population density
Large metro areas	5.4	.98	.55–1.75	.96	.52–1.77
Small metro areas	5.2	.94	.55–1.61	.96	.54–1.70
Nonmetro areas	5.5	1.00		1.00
Years since onset of alcohol use
1–2	4.5	1.00		1.00
3–4	4.7	1.05	.48–2.30	1.10	.49–2.43
≥5	5.7	1.29	.65–2.55	1.44	.68–3.04
Past-year drug use
Use without a diagnosis	3.9	1.03	.52–2.04	.86	.42–1.76
Abuse	4.6	1.23	.53–2.87	.92	.35–2.41
Dependence	12.1	3.50	1.83–6.68***	2.57	1.30–5.08**
No use	3.8	1.00		1.00
Alcohol-related diagnosis
Dependence	7.7	2.18	1.39–3.40***	2.18	1.42–3.35***
Abuse	3.7	1.00		1.00

^aUnweighted sample of 2,211

^bIncludes all the variables listed in the first column

^*p≤.05

^**p≤.01

^***p≤.001

We also examined the prevalence of service use separately for abuse and dependence (data not shown). The overall use of any alcohol services was higher among those with alcohol dependence (7.7%) than among those with alcohol abuse (3.7%). Only 7% of full-time college students with alcohol dependence received any alcohol services in the past year.

Characteristics associated with alcohol service use among 2,211 young adults with an alcohol use disorder in the past year are reported in Table 3. Compared with full-time college students, noncollege students were about three times as likely to use any alcohol services (adjusted OR=2.87). There were no differences in service use between full-time college students and the other groups. In addition, young adults ages 21 or 22 were less likely than those of ages 18 to 20 to use any services (adjusted OR= .51). Service use also was associated with alcohol dependence (adjusted OR=2.18) and with comorbid past-year drug dependence (adjusted OR=2.57).

Perceived need for alcohol treatment services

Very few young adults who met criteria for a past-year alcohol use disorder and did not receive any alcohol services in the past year reported needing alcohol services (Table 4). The prevalence of the perceived need for alcohol treatment among young adults with an alcohol use disorder was 2.4% for full-time college students, .7% for part-time college students, 2.9% for noncollege students, and 3.4% for nonstudents. We also found that students with alcohol dependence (6.2%) were more likely than those abusing alcohol (.7%) to perceive the need for such treatment.

Table 4.

Likelihood of perceived need for alcohol treatment among young adults ages 18 to 22 who met criteria for alcohol use disorders in the past year but did not receive any treatment^a

		Logistic regression model
	Prevalence of service use (%)	Unadjusted		Adjustedb
Variable		OR	95% CI	OR	95% CI
College enrollment
Full-time college students	2.4	1.00		1.00
Part-time college students	.7	.30	.04–2.35	.22	.02–2.15
Noncollege students	2.9	1.24	.39–3.96	2.28	.64–8.12
Nonstudents	3.4	1.46	.65–3.27	1.06	.47–2.40
Age in years
18–20	1.8	1.00		1.00
21–22	4.1	2.34	1.26–4.37**	2.32	1.09–4.95*
Gender
Male	2.7	.88	.48–1.61	1.00	.49–2.03
Female	3.0	1.00		1.00
Race or ethnicity
Nonwhitec	3.1	1.13	.56–2.27	.91	.42–1.97
White	2.7	1.00		1.00
Marital status
Never been married	2.5	.31	.12–.83*	.35	.12–1.06
Ever married	7.8	1.00		1.00
Employment status
Unemployed	4.2	1.67	.67–4.14	1.47	.52–4.18
Other	3.1	1.21	.45–3.23	1.23	.40–3.79
Employed	2.6	1.00		1.00
Total family income
<$20,000	3.0	1.00		1.00
$20,000–$39,999	3.2	1.06	.47–2.39	1.09	.46–2.58
$40,000–$74,999	3.1	1.03	.43–2.48	.92	.36–2.37
$75,000 or higher	1.5	.49	.15–1.59	.58	.16–2.05
Population density
Large metro areas	3.3	1.22	.47–3.13	1.18	.40–3.45
Small metro areas	2.4	.87	.40–1.87	.64	.32–1.29
Nonmetro areas	2.8	1.00		1.00
Years since onset of alcohol use
1–2	1.4	1.00		1.00
3–4	2.1	1.54	.42–5.70	1.51	.39–5.86
≥5	3.3	2.54	.85–7.52	1.38	.43–4.39
Past year drug use
Use without a diagnosis	2.7	1.68	.51–5.47	2.00	.58–6.87
Abuse	1.3	.81	.16–3.99	1.08	.20–5.72
Dependence	6.1	3.89	1.21–12.50*	3.79	1.06–13.61*
No use	1.6	1.00		1.00
Alcohol diagnosis
Dependence	6.2	9.16	4.07–20.64***	8.74	3.56–21.43***
Abuse	.7	1.00		1.00

^aUnweighted sample of 2,092

^bIncludes all the variables listed in the first column

^cThe prevalence of perceived need for services was 0% for non-Hispanic black students, 4.4% for Hispanics, and 3.8% for others.

^*p≤.05

^**p≤.01

^***p≤.001

ORs of perceived need for alcohol services among 2,092 young adults with a past-year alcohol use disorder who did not receive any alcohol treatment services are reported in Table 4. Whereas college enrollment status was not associated with the perceived need for alcohol services, older age (adjusted OR=2.32), alcohol dependence (adjusted OR=8.74), and co-morbid drug dependence (adjusted OR=3.79) were associated with increased odds of perceiving a need for such services.

Alcohol use disorder, service use, and perceived need for services

We used logistic regression models separately for abuse and dependence to examine whether specific symptoms of alcohol use disorder were associated with service use and the perceived need for such services (Table 5). Controlling for age, gender, college enrollment, and past-year drug use status—which was associated with alcohol use disorder or service use—we found that “alcohol use causing troubles with the law” was associated with increased use of alcohol services, without a concomitant increase in the perceived need for these services. In addition “continued alcohol use despite problems with family or friends” and “serious problems at work, home, or school” were associated with a perceived need for services.

Table 5.

Likelihood of past-year alcohol treatment and of perceived need for alcohol treatment in relation to symptoms of alcohol abuse and dependence among young adults ages 18 to 22 who met criteria for past-year alcohol use disorder

	Adjusted logistic regression modela
	Alcohol service utilization (Unweighted N=2,211)		Perceived need for alcohol services (Unweighted N=2,092)b
Model and symptom	OR	95% CI	OR	95% CI
Model for abuse symptoms (yes or no)
Serious problems at work, home, or school	1.21	.74–1.96	3.05	1.48–6.30**
Regular alcohol use and in physical danger	1.24	.66–2.33	2.07	.87–4.92
Alcohol use causing troubles with the law	4.05	2.19–7.48***	.93	.42–2.06
Continued alcohol use despite problems with family or friends	1.53	.87–2.67	3.89	2.14–7.07***
Model for dependence symptoms (yes or no)
Spent a great deal of time getting or using	.67	.41–1.12	3.64	1.07–12.39*
Built up tolerance for alcohol	1.16	.68–1.99	2.05	.90–4.67
Used alcohol more often than intended	1.16	.64–2.11	1.50	.81–2.79
Reduced important activities	1.87	1.15–3.06*	1.37	.70–2.68
Caused emotional or physical problems	2.32	1.33–4.04**	3.47	1.39–8.65**
Was unable to cut down on use	.95	.51–1.76	3.11	1.63–5.93***
Had alcohol withdrawal symptoms	1.43	.71–2.87	.42	.15–1.22

^aFor each outcome, logistic regression models were generated separately for abuse and dependence symptoms. Each model adjusted for age, gender, college enrollment status, and past-year drug use status.

^bThe sample for analysis included young adults ages 18 to 22 who met criteria for alcohol abuse or dependence in the past year and who did not receive any alcohol services in the past year.

^*p≤.05

^**p≤.01

^***p≤.001

Alcohol dependence, service use, and perceived need for services

In the model for dependence symptoms, “reduced important activities” and “caused emotional or physical problems” were associated with service use. Significant correlates of a perceived need for alcohol services included “spent a great deal of time getting or using alcohol,” “caused emotional or physical problems,” and “was unable to cut down on use.”

Reasons for not receiving alcohol services

The subsample with an alcohol use disorder who did not receive any alcohol service but reported the perceived need for such services was small, only 46 students. The most common reasons for not using services were “not ready to stop using alcohol and/or drugs” (47%), “having no health care coverage and unable to afford the cost” (19%), “concerned that getting services might cause neighbors and community to have a negative opinion” (18%), and “not knowing where to go to get treatment” (15%).

Discussion

In this nationally representative sample of young adults ages 18 to 22, we found a high prevalence of alcohol use disorders and a low prevalence of alcohol service use. About one-fifth of college-age young adults met criteria for a past-year alcohol use disorder, which was higher than estimates for adolescents ages 12 to17 (5%) (26), persons ages 15 to 54 (7%) (27), and adults ages 30 or older (less than 6% for abuse and less than 4% for dependence) (28). Our finding was similar to a recent estimate (18%) among all young adults ages 18 to 24 (8).

Prevalence of alcohol use disorders among part-time and noncollege students was lower than among full-time college students. Part-time and non-college students are more likely to live with their parents than full-time college students, which may have some protective effects on alcohol abuse (29) because those living with their parents may be more likely to be monitored and less likely to spend long hours with alcohol-using peers or in a context that promotes alcohol use behaviors (such as bars in college towns). The resulting reduction of opportunities for alcohol exposure may contribute to moderation and lessen the risk of alcohol abuse. This explanation is speculative and requires future work to test it. Noncollege students seem to be an important subgroup to study further. They had a lower prevalence of alcohol use disorders than full-time college students but were more likely to receive alcohol services. The reasons why they were still in high school (or technical or vocational schools) were unavailable in the survey.

We also found that full-time college students were as likely as the nonstudent subgroup to have an alcohol use disorder. Frequent alcohol use is associated with increased odds of dropping out of school among high school students, and youths not in school are more likely than those in school to use alcohol (30,31). Yet some aspects of college-related environments also place college students at risk for alcohol abuse. In particular, full-time college students tend to live away from their parents, to associate with peers who use alcohol regularly, and to be in environments where social activities involve alcohol use, which appear to increase their risk of having an alcohol use disorder (3,4,32). However, college-related environments seem to have no significant negative influences on drug use disorders, which had a similar prevalence among all young adults. The reason might be related to the greater social acceptability of alcohol use in American colleges compared with drug use. This hypothesis requires confirmation by studies of students' attitudes toward different licit and illicit substance use.

Our data suggest that entry into alcohol treatment services tends to be associated with drug or alcohol dependence and with legal problems. Among those with legal problems, treatment is often mandated by courts. Similarly, those with comorbid drug use problems may come to the attention of family members, health care providers, or the criminal justice system, who then prompt or coerce the person with the disorder into receiving services (19,33-35). Other studies also have suggested that individuals with an alcohol use disorder typically do not seek help until their alcohol use results in substantial problems in their lives (36,37). Denial of alcohol-related problems and lack of motivation to receive treatment may explain this finding (38,39). Consistent with other studies (19,40,41), the individual's perception that alcohol use is not a problem was a major barrier to alcohol treatment. Our study found that, among those with an alcohol use disorder who did not receive alcohol services in the past year, only 2.4% of full-time college students reported a need for alcohol services. In addition, young people may have financial barriers or may not know where to go for help and how to obtain confidential alcohol treatment (42,43).

Alternatively, the low prevalence of alcohol treatment use may have resulted, at least in part, from the inclusion of mild cases of alcohol abuse, where the need for treatment is debatable. Such cases might occur when individuals receive a diagnosis of alcohol abuse with only one symptom of abuse, as dictated by DSM-IV. Although studies have suggested that many adults with an alcohol use disorder eventually get better without receiving treatment (44), treatment or counseling is important for at least some young adults with an alcohol use disorder. In particular, alcohol dependence is more chronic than abuse (45-47) and may require formal treatment to prevent alcohol-related mental and physical illnesses. Various interventions, including prevention, alcohol treatment services, and harm reduction approaches (such as providing buses on weekend evenings from college towns, where drinking often takes place, to college dormitories), could help reduce substantial direct and indirect consequences of alcohol abuse, including academic problems, violent behaviors, physical injuries, property damage on campuses, and unwanted sexual behaviors, as well as injury and death from driving under the influence of alcohol (2-7).

The physiological aspects of alcohol use disorders (withdrawal symptoms) predict the chronicity of alcohol dependence (48,49), but they were unassociated with alcohol service use or the perceived need for such services in this study. Rather, alcohol-related social and legal problems, as well as the inability to cut down on alcohol use, increased young adults' or others' recognition of having alcohol problems. The low prevalence of service use (5%) among women with an alcohol use disorder also deserves research attention. Young women appear to be more likely than young men to first adopt binge drinking in college (50), and college-attending women get drunk more frequently than non–college-attending women (9).

These findings should be interpreted with some caution. First, NSDUH data, including school enrollment status, are based on respondents' self-reports. Although our key variables referred to past-year behaviors, and NSDUH incorporates computer-assisted interviewing techniques to improve the accuracy of self-reports of substance use behaviors (24), our findings could be influenced by recall and reporting biases.

Second, NSDUH assessments of alcohol use disorders are based on a single structured interview administered by trained interviewers, and diagnoses are not validated by clinicians. This limitation is found in most large-scale epidemiological studies (51). Our estimates of alcohol use disorders are much lower than the estimate (38%) from a survey of college students (3), which suggests that NSDUH is unlikely to largely overestimate the prevalence of alcohol use disorders. Third, the lack of information about the quality of services received prevents our analysis of these variables.

Heavy drinking and alcohol problems increase during the transition into college years (52). The high prevalence of alcohol use disorders among full-time college students and nonstudent young adults calls for continuous efforts to reduce alcohol use and alcohol-related harm. Both primary prevention and focused interventions have been recommended (32,53-55). Interventions to motivate treatment use among young adults with an alcohol use disorder may be more effective if they build on the symptoms that increase the perceived need for treatment, including associated emotional problems or the inability to reduce alcohol use. Increased availability of and access to community- and college-based alcohol-screening programs may be an effective way to identify individuals with harmful alcohol use behaviors, to offer alcohol-related education, and to refer them to appropriate treatment service programs (40).