Psychological factors associated with alcohol use by high school athletes.
Green, Elizabeth K. ; Burke, Kevin L. ; Nix, Charles L. 等
The most widely used and abused recreational drug by athletes is
alcohol (Gay, Minelli, Tripp, & Keilitz, 1990; Overman & Terry,
1991). Studies have examined the frequency and intensity of alcohol use
by athletes (Anderson, Albrecht, Hough, & McGraw, 1991; Anderson
& McKeag, 1985; Heitzinger & Heitzinger, 1986), the
athletes' attitudes toward the uses of alcohol (Flynn &
Shoemaker, 1989; Overman & Terry, 1991), and identified specific
psychological factors associated with athletes' uses of alcohol
(Evans, Weinberg, & Jackson, 1992). This research has focused mainly
on alcohol use among professional and collegiate athletes, and has
virtually overlooked alcohol use among high school athletes.
The lack of research concerning alcohol use among high school
athletes may arise from the traditional myth that high school athletes
are more inclined to avoid using alcohol than high school non-athletes
(Muldoon, 1986). This myth assumes high school athletes will avoid using
alcohol because of its adverse affects on training and because athletes
do not have the time to become involved with alcohol (Carr, Kennedy,
& Dimick, 1990). Yet, research (Carr et al., 1990) indicates alcohol
use is prevalent among high school athletes.
Several articles have been written which focus primarily on
identifying specific psychological factors related to athlete alcohol
use (Evans et al., 1992; Heyman, 1990; Tricker & Cook, 1990). Evans
et al.'s (1992) study attempted to associate several psychological
factors to alcohol use among collegiate athletes. These specific
psychological factors were tension-anxiety, depression, anger, fatigue,
vigor, confusion, and self-esteem. Evans et al.'s (1992) study also
investigated whether pressures stemming from academics, parent(s) or
guardian(s), and coaches relate to alcohol use by collegiate athletes.
High school coaches should play a significant role in the development
and implementation of alcohol intervention programs for their athletes
(Tricker & Cook, 1990). These intervention programs may be more
effective if the focus is on making the high school athlete aware of how
to identify signs and symptoms of specific psychological factors found
to be associated with alcohol use. Once identified, athletes may be
taught how to cope with these psychological factors. Therefore, it is
imperative researchers identify specific psychological factors
associated with alcohol use by high school athletes.
The purpose of this study was to replicate Evans, Weinberg, and
Jackson's (1992) investigation by attempting to identify whether
the following psychological factors were associated with alcohol use by
high school athletes: tension-anxiety, depression, anger, fatigue,
vigor, confusion, and self-esteem. This study also attempted to identify
whether pressures resulting from academics, parents or guardians, and
coaches were associated with alcohol use by high school athletes.
Method
Subjects
The subjects for this study were 300 male (n = 148) and female (n =
152) high school athletes, ages 16-18 (M = 16.56), from six Midwestern
high schools. The athletes included sophomores (n = 119), juniors (n =
119), and seniors (n = 62).
These athletes had been members of at least one of the school's
athletic teams for a minimum of one season. In many instances, these
athletes participated on one to three different athletic teams (M = 2)
each school year. These athletes were representatives of the following
varsity and junior varsity sports: baseball (n = 26), basketball (n =
92), bowling (n = 2), cross country (n = 28), football (n = 60),
gymnastics (n = 4), soccer (n = 66), softball (n = 41), swimming (n =
16), track and field (n = 111), volleyball (n = 23), and wrestling (n =
35).
Each athlete was administered four separate questionnaires: (1)
demographic and academic questionnaire, (2) Profile of Mood States (POMS), (McNair, Lorr, & Droppleman, 1971), (3) Coopersmith
Self-Esteem Inventory (SEI), (Coopersmith, 1967), and (4) alcohol
questionnaire. The researcher distributed 600 consent forms to high
school student-athletes in six public high schools. The return of the
consent form to the researcher was required for participation in this
study. Three hundred of the 600 consent forms were rendered for a return
rate of 50%. A total of 300 questionnaires and inventories were
completed by student-athletes at six Midwestern public high schools.
Parental consent and the athlete's assent was obtained before any
questionnaire was administered to the athlete.
Apparatus
Demographic and Academic Questionnaire. The demographic and academic
questionnaire was used to gather demographic characteristics on the
athlete, such as age, gender, sport, and grade point average. Also,
athletes responded on a 5 point intensity scale (1 signifying no
pressure and 5 signifying extreme pressure) to seven questions
addressing the pressures stemming from the role as a student-athlete.
Profile of Mood States. The POMS was used to measure six mood or
affective states: tension-anxiety, depression, anger, vigor, fatigue,
and confusion (McNair et al., 1971). Athletes responded on a 5-point
intensity scale (1 signifying not at all and 5 signifying extremely) to
a list of 65 words or phrases that describe moods or feelings one may
have experienced over the past week or while completing the POMS. Tests
were hand scored with overlay stencils provided by the Educational and
Industrial Testing Service.
McNair, Lorr, and Droppleman (1971) suggest the POMS could prove
useful in research involving adolescent subjects. Several research
investigations (Craighead, Privette, Vallianos, & Brykit, 1986;
McGowan & Miller, 1989; Tuckman, 1986) have indeed shown the
usefulness of the POMS with adolescent populations. With respect to this
study, Kunder-Richardson (KR20S) reliability estimates were calculated
for the POMS subscales (r = .72). This coefficient indicates moderately
strong inter-item consistency of the POMS for use with adolescent
populations.
Coopersmith Self-Esteem Inventory. Each athlete's self-esteem
was measured by the adult form of the Coopersmith Self-Esteem Inventory
(Coopersmith, 1967). Athletes responded either "like me" or
"unlike me" to 25 descriptive statements. A total self-esteem
score was obtained by summing the self-esteem items answered correctly
and multiplying this number by four.
Alcohol Questionnaire. The alcohol questionnaire (Evans et al., 1992)
was used to gather information on the frequency, intensity, and duration
of alcohol use by the athlete. Also, athletes responded to questions
pertaining to the reasons why they use, do not use, or have stopped
using alcohol.
Procedures
Athletic directors from ten Midwestern high schools were contacted
via telephone to request their assistance in conducting this study at
their school. Those six athletic directors who agreed to assist in this
study were mailed a copy of the informed consent form and each
questionnaire. A week later the athletic directors were contacted by
telephone to confirm their assistance in this investigation.
The collection of data took place in two meetings with the athletes
during either their physical education classes, health classes, or study
halls. During the first meeting, the researcher explained the purpose of
the study, answered any questions concerning the study, and distributed
the consent forms to the student-athletes.
During the second meeting with the student-athletes, the consent
forms were collected and questionnaires administered. All questionnaires
were administered by one researcher. The researcher read the
instructions for completing the questionnaire. In the case of the POMS,
specific instructions on how to complete the POMS as specified by the
Edits manual for the POMS (McNair, Lorr, & Droppleman, 1971) were
followed.
Results
Descriptive Statistics. Descriptive statistics were tabulated on the
questions comprising the alcohol questionnaire. Subjects who reported
using alcohol at least once in the past 12 months were classified as an
alcohol user and subjects who did not use alcohol in the past 12 months
were classified as an alcohol nonuser. The users comprised 54.7% (N =
-152) of the subject population and the nonusers comprised 45.3% (N =
-148). The average number of alcoholic drinks consumed per day by the
user group was 4. The users were found to have been consuming alcohol
for an average of 2 years.
The primary reasons given by the student-athletes for using alcohol
were to "have a good time with friends," "to
celebrate", "to make the athlete feel good," and to
"help the athlete deal with the worries and pressures of
school." The reasons athletes gave for using alcohol, can be found
in Table 1. Athletes also reported several "other" reasons for
using alcohol that were not included as a choice on the alcohol
questionnaire. Among these reasons were to "have something to do on
the weekend," to "relax and be one's self around
friends," and to "have fun at parties."
The three major reasons given by the student-athletes for not using
alcohol were "concerns about the effects on health," the
"athlete does not like alcohol," and the "use of alcohol
is against the athlete's beliefs." There were several
"other" reasons athletes gave for not using alcohol. Some of
these reasons included alcohol use is "illegal by minors,"
"hurts athletic performance," "against coach's
rules," and the "athlete is afraid of getting caught."
The reasons athletes gave for not using alcohol are summarized in Table
2.
The last question on the alcohol questionnaire dealt with the
frequency of alcohol use during the last competitive season. The results
indicated 71.3% of the athletes did not consume any alcohol during their
last competitive season. With regards to those athletes who did use
alcohol during their last competitive season, 19.3% indicated using
alcohol once or twice, 5.3% reported using alcohol three or four times,
1.7% reported using alcohol five or six times, and 2.3% reported using
alcohol 7 or more times (Table 3).
Table 1
Reasons for Alcohol Use by Atletes (N = 164)
Reasons for Alcohol Use Alcohol
%
Have a good time with friends 34.3
To celebrate 14.3
Makes the athlete feel good 3.7
Helps the athlete deal with the worries 1.0
and pressures of athletics
Other (indicated by athlete) 5.0
A 2 x 2 (behavior = alcohol user/non-user x gender = male/female)
multivariate analysis of variance (MANOVA) was conducted to distinguish
significant differences between users and nonusers on the POMS
subscales. The MANOVA was used to decrease the likelihood of a type 1
error. The results of the MANOVA on the POMS subscales indicated no
significant behavior-gender interaction effect, therefore overall
multivariate main effects for behavior and gender were examined. A
significant multivariate behavior main effect was found on the POMS
subscales, Wilks lambda = .05, p [less than] .024.
Table 2
Reasons for Non-Alcohol Use by Athletes (N = 136)
Reasons for Alcohol Use Alcohol
%
Athlete is concerned about the effects on health 14.3
Athlete does not like alcohol 10.0
Alcohol use is against athlete's beliefs 7.3
Alcohol use hurts athletic performance 5.0
Athlete has no desire to experience the effects of alcohol 2.3
Alcohol use is against coach's rules 2.0
Athlete is afraid of getting caught 1.7
When analyzing the univariate ANOVAs accounting for the six POMS
subscales a Bonferonni adjustment was conducted, making the level of
significance .01. One of the POMS subscales was significant, anger,
f(1,296) = 8.14, p [less than] .004. The mean score for alcohol users on
anger (M = 17.7) were all higher than those for nonusers on anger (M =
-14.7). A significant main effect for gender was not found (see Table
4).
A 2 x 2 (behavior x gender) MANOVA was also conducted to distinguish
significant differences between alcohol users and nonusers on the stress
questions. The results of the MANOVA indicated no significant behavior x
gender interaction effect. Therefore, overall multivariate main effects
for behavior and gender on the stress questions were examined.
Significant overall multivariate main effects were found for both
behavior, Wilks lambda = 3.10, p [less than] .001, and gender, Wilks
lambda = 4.04, p [less than] .001, on the stress questions.
Table 3
Alcohol Use by Athletes during Competitive Season (N = 300)
Athlete Alcohol Use Frequency Percentage
0 times 214 71.3
1-2 times 58 19.3
3-4 times 16 5.3
5-6 times 5 1.7
7 or more times 7 2.3
In regards to the univariate ANOVAs conducted on the stress
questions, a Bonferonni adjustment determined the level of significance
to be .01. A significant behavior main effect f = (1,296) = 6080, p
[less than] .009, was found on the stress question concerning the
athletes' anxieties about receiving a scholarship to college. The
mean score (M = 3.91) for nonusers was significantly higher than the
mean score (M = 3.50) for users.
A significant gender main effect f = (1,296) = 8.59, p [less than]
.003, was found on the stress question concerning the pressure athletes
feel to win. The mean score (M = 4.06) for the males was higher than the
mean score (M = 3.74) for females (see Table 5).
A separate ANOVA was used to distinguish significant differences
between users and nonusers on the Coopersmith Self-Esteem Inventory. No
significant differences were found on the Coopersmith Self-Esteem
Inventory (see Table 6).
Discussion
The research literature regarding high school athletes and alcohol
has focused mainly on determining the extent to which high school
athletes use alcohol (Brown & Finn, 1982; Carr et al., 1990). The
results of the present investigation confirm alcohol was used by high
school athletes to varying degrees. The purpose of this study was not to
confirm the extent to which high school athletes use alcohol, but to
identify [TABULAR DATA FOR TABLE 4 OMITTED] whether specific
psychological factors were associated with athletes who use alcohol. The
specific psychological factors examined were tension-anxiety,
depression, anger, vigor, fatigue, confusion, and self-esteem.
Anger was the one factor in which statistically significant
differences were found between athletes who use alcohol and athletes who
do not use alcohol. The mean score on anger was higher for those
athletes who reported using alcohol than for those athletes who did not
report using alcohol. These findings were consistent with Evans,
Weinberg, and Jackson's (1992) study involving collegiate athletes.
Evans, Weinberg, [TABULAR DATA FOR TABLE 5 OMITTED] and Jackson (1992)
suggest the need of further inquiry into the symbiotic relationship of
anger, athletic participation, and alcohol use.
The use of physical aggression by athletes has been encouraged during
sport situations and discouraged during nonsport situations (Heyman,
1990). Heyman (1990) discussed how some athletes have difficulty
controlling physically aggressive behaviors in nonsport situations when
these behaviors have been reinforced during sport situations. Often,
athletes have blamed displays of physically aggressive behavior on
alcohol use (Heyman, 1990). The psychological connection between anger
and aggression may warrant further inquiry into the relationship of
these psychological factors and alcohol use by high school athletes.
Several research articles (McGuire, 1990; Roberts-Wilbur, Wilbur,
& Morris, 1987), have suggested an association exists between
athletes' self-esteem and alcohol and drug use. They contend
athletes use alcohol in an attempt to cope with threats to self-esteem
resulting from the athletic environment. The results of the present
investigation did not find self-esteem to be associated with alcohol use
by high school athletes. Although this finding is inconsistent with
earlier research (McGuire, 1990; Roberts-Wilbur et al., 1987) it is
particularly relevant to current literature on alcohol use by
adolescents. Past research (Kovach & Glickman, 1986; Letteri &
Ludford, 1981) has suggested self-esteem is neither associated nor
related with adolescent alcohol use. Further research is needed to
confirm whether self-esteem is unrelated to alcohol use by high school
athletes.
Table 6
Means and Standard Deviations for Coopersmith Self-Esteem Inventory (N = -300)
Groups M SD
Users 6.70 20.7
(N = -164)
Non-users 68.7 22.3
(N = -136)
Male 70.3 21.3
(N = -148)
Female 65.3 21.2
(N = -152)
Male users 69.3 19.8
(N = -83)
Male non-users 71.6 23.2
(N = -65)
Female users 64.7 21.4
(N = -81)
Female non-users 66.0 21.2
(N = -71)
Although self-esteem was found to be unrelated to alcohol use by high
school athletes, an interesting comparison can be made between the
findings of the present investigation and the findings of Evans,
Weinberg, and Jackson (1992). Evans et al., (1992) investigation found
males to have higher self-esteem scores than females, a finding
consistent with the present investigation. The research literature
(Duda, 1986; Evans et al., 1992) suggests this variation in self-esteem
scores may result from a role conflict between femininity and athletic
prowess. This conflict has resulted from past perceptions of gender role
conflicts and athletic participation.
The present investigation also attempted to identify whether certain
stressors were associated with alcohol use by high school athletes. The
results from the demographic and academic questionnaire revealed
significant differences for the question regarding the athletes'
anxieties concerning receiving a scholarship to college. Athletes who
dian athletes who used alcohol. A possible explanation for this finding
may be non-alcohol using athletes perceive alcohol as an obstacle in
obtaining a scholarship to colleges. Whereas athletes may use alcohol in
an attempt to cope with the anxieties associated with obtaining
scholarships. However, it must be understood individual athletes will
react differently to the same type of stressor.
Significant differences were found in the comparison of male and
females athletes regarding the question "how much pressure do you
feel to win." The male athletes felt significantly greater pressure
to win than female athletes. Duda (1986) discussed how past society has
stereotyped the roles female athletes were expected to model.
Unfortunately, past society has recognized the feminine image as more
important than competitive excellence (Duda, 1986). This may lend
support to the findings of current study regarding pressure to win among
high school athletes.
There is a substantial amount of literature regarding the reasons why
high school students use or do not use alcohol (Johnston &
O'Malley, 1986). The results of this study found the reasons
athletes gave for using alcohol to be consistent with the reasons high
school non-athletes gave for using alcohol. The three primary reasons
high school athletes and non-athletes reported for using alcohol were to
"have a good time with friends," to "celebrate," and
to "make one feel good."
The peer cluster theory (Oetting & Beauvais, 1986) could possibly
lend support in explaining this consistency of reasons given for alcohol
use by both high school athletes and non-athletes. The peer cluster
theory maintains the influence of the peer cluster to which one belongs
will essentially determine one's motive for participating in
certain legal and illegal behaviors. During high school, peer clusters
generally consist of both athletes and non-athletes. This diversity in
peer clusters may explain the similarity in reasons for alcohol use by
both athletes and non-athletes.
Alcohol education and prevention programs for high school athletes
have focused primarily on the detriments of using alcohol. These
programs have virtually ignored the many psychological constituents that
can lead to alcohol use by high school athletes. This study identified
anger, pressure to win, and anxiety to receive a college scholarship as
factors related to alcohol use by high school athletes. Alcohol
prevention and education programs designed for high school athletes may
become more effective by teaching the athlete to understand and cope
with the anger and various pressures resulting from athletic
participation.
This preliminary investigation only began to address the issue of
identifying psychological factors associated with alcohol use by high
school athletes. More studies need to be performed to help provide a
better understanding of the psychological factors associated with high
school athletes' uses of alcohol. Future studies may target the
role anger and aggression may play in alcohol use among high school
athletes. Studies could attempt to identify to what extent (if any)
athletes use alcohol in attempt to lessen anxieties and pressures
associated with obtaining a scholarship to college. Researchers may
investigate the effectiveness of alcohol prevention programs for high
school athletes which focus on teaching athletes how to identify and
cope with the symptoms of psychological factors which may lead to
alcohol use.
References
Anderson, W., Albrecht, D., Hough, D., & McGraw, C. (1991). A
national study of alcohol and drug use by collegiate athletes. The
Physician and Sportsmedicine, 19(2), 91-104.
Anderson, W. A., & McKeag, D. B. (1985). The substance use and
abuse habits of college student-athletes (Report No. 2). Mission, KS:
The National Collegiate Athletic Association.
Brown, J., & Finn, P. (1982). Drinking to get drunk: Findings of
a survey of junior and senior high school students. Journal of Alcohol
and Drug Education, 27(3), 13-25.
Carr, C., Kennedy, S., & Dimick, K. (1990). Alcohol use among
high school athletes: A comparison of alcohol use and intoxication in
male and female high school athletes and non-athletes. Journal of
Alcohol and Drug Education, 27(3), 13-25.
Coopersmith, S. (1967). The antecedents of self-esteem. San
Francisco, CA: Freeman.
Craighead, D. J., Privette, G., Vallianos, F., & Byrkit, D.
(1986). Personality characteristics of basketball players, starters and
nonstarters. International Journal of Sport Psychology, 17, 110-119.
Duda, H. (1986). Female athletes: Targets for drug use. The Physician
and Sportsmedicine, 14, 142-146.
Evans, M., Weinberg, R., & Jackson, A. (1992). Psychological
factors related to drug use in college athletes. The Sport Psychologist,
6, 24-41.
Flynn, C. A., & Shoemaker, T. A. (1989). Alcohol and college
athletes: Frequency of use versus perceptions of others. NASPA Journal,
27(2), 172-176.
Gay, J. E., Minelli, M. J., Tripp, D., & Keilitz, D. (1990).
Alcohol and the athlete: A university's response. Journal of
Alcohol and Drug Education, 35(2), 81-86.
Heitzinger and Associates (1986). 1981-1986 data collection and
analysis. High school, college, professional athletes: alcohol/drug
survey. Madison, WI: Heitzinger and Associates.
Heyman, S. R. (1990). Psychological factors in the use of
recreational drugs and alcohol. In R. Tricker & D. L. Cook (Eds.),
Athlete at risk: Drugs and Sport (pp. 73-92), Dubuque, IA: Wm. C. Brown.
Johnston, L. D., & O'Malley, P. M. (1986). Why do the
nation's students use drugs and alcohol? Self reported reasons from
nine national surveys. Journal of Drug Issues, 16(1), 29-66.
Kovach, J. A., & Glickman, N. W. (1986). Levels and psychological
correlations of adolescent drug use. Journal of Youth and Adolescence,
15(1), 61-77.
Letteri, D., & Ludford, J. (1981). Drug abuse and the American
adolescent, Research Monograph, 38, 35-56.
McNair, D. M., Lorr, M., & Droppleman, L. F. (1971). Profile of
Mood States Manual. San Diego: Educational and Industrial Testing
Service.
McGowan, R. W., & Miller, M. J. (1989). Differences in mood
states between successful and less successful karate participants.
Perceptual and Motor Skills, 68, 505-506.
McGuire, R. (1990). Athletes at risk. In R. Tricker and D. L. Cook
(Eds.). Athletes at risk: Drugs and Sport (pp. 1-14). Dubuque, IA: Wm.
C. Brown.
Muldoon, J. (1986). Athletes and Drugs: A no win combination.
Community Intervention, Inc.
Oetting, E. R., & Beauvais, F. (1986). Peer cluster theory: Drugs
and the adolescent. Journal of Counseling and Development, 65(1), 17-22.
Overman, S. J., & Terry, T. (1991). Alcohol use and attitudes: A
comparison of college athletes and non-athletes. Journal of Drug
Education, 21(2), 107-117.
Roberts-Wilbur, J. R., Wilbur, M., & Morris, J. R. (1987,
spring). The freshman athlete's transition: Athletic and academic
stressors. Academic and Athletic Journal, 23-32.
Tricker, R., & Cook, D. L. (1990). Athletes at risk: Drugs and
Sport. Dubuque, IA: Wm. C. Brown.
Tuckman, B. (1988). The scaling of mood. Educational and
Psychological Measurement, 48, 419-427.