Abstract
The aim of the study was to examine the association of alcohol consumption patterns (hazardous alcohol use and binge drinking) and the use of emergency services and primary care consultations in university students. An observational, descriptive, cross-sectional study was conducted at eleven Spanish universities collaborating within the uniHcos Project. University students completed an online questionnaire that assessed hazardous alcohol use and binge drinking using the AUDIT questionnaire and evaluated the use of emergency services and primary care. A descriptive analysis of the data was performed, as well as the chi-squared test and Student’s t-test and nonconditional logistic regression models to examine this association. Results: There were 10,167 participants who completed the questionnaire. The prevalence of hazardous alcohol use was 16.9% (95% CI: 16.2–17.6), while the prevalence of binge drinking was 48.8% (95% CI: 47.9–49.8). There were significant differences in the use of emergency services in those surveyed with hazardous alcohol use (p < 0.001) or binge drinking pattern (p < 0.001). However, no significant differences were observed in terms of attendance during primary care visits in individuals with hazardous alcohol use (p = 0.367) or binge drinking pattern (p = 0.755). The current study shows the association between university students with a pattern of hazardous alcohol use or binge drinking and greater use of emergency services. However, no significant association was observed between the said consumption patterns and the use of primary care services.
Keywords: alcohol drinking, alcohol consumption patterns, university student, health services research, emergency services, primary care, cross-sectional studies
1. Introduction
Alcohol consumption is one of the main preventable causes of morbidity and mortality [1]. The European Union has the highest rate of alcohol consumption in the world, meaning there is a greater burden of disease and death on this continent due to the consumption of this substance [2,3]. In Spain, alcohol is the most widely used psychoactive substance, followed by tobacco and cannabis. Although alcohol intake has decreased slightly since 2015 in Spain [4], its consumption continues to be a public health problem in adolescents and young adults.
Identifying toxic habits, such as alcohol consumption, in adolescence and youth is of vital importance since their presence at an early age carries significant consequences for development in adulthood [5]. In many cases, entering university brings changes in lifestyle, marked by a change in housing, a difference in the demands of university education, or by becoming part of a new social network [6].
Various international studies have addressed patterns of alcohol consumption in university students [7,8,9,10,11,12,13,14]. The prevalence of hazardous alcohol use and binge drinking varies in international series, although there is a significant increase in binge drinking in this population. Research consistently shows that young people tend to drink more in late adolescence and early adulthood [12,13], with young adults especially prone to binge drinking [14]. Therefore, in addition to identifying alcohol consumption in this population, it is necessary to establish the pattern of the said consumption, since the type of alcohol intake is decisive in developing alcohol-related problems [14].
Alcohol consumption leads to a significant increase in the use of health services, both at the hospital level and in primary care (PC). Although the health repercussions of alcohol consumption on the individual and on society are known and the literature shows that PC and emergency services are important points in detecting alcohol consumption and assessing the need to initiate quick interventions [15,16,17,18], the evidence on the relationship between drinking patterns and health care use is not well-established. Some studies have described that patients with alcohol dependence have a greater number of PC visits and a higher rate of hospital admissions compared to patients who do not have alcohol dependence [16,17]. Furthermore, patients with hazardous alcohol consumption have a greater use of emergency departments and hospital services compared to abstainers [19]. However, there are national and international publications indicating that increased alcohol consumption in the general population is associated with a decreased use of health services [20,21,22]. A national study carried out in a Spanish population aged 16 years and older revealed a negative dose–response relationship between alcohol consumption and the use of hospital and outpatient services [20]. Furthermore, a US study piloted in the adult population indicated that individuals who drink alcohol used emergency services and PC less compared to abstainers [21].
From the public health perspective, the increased use of health services among university students with hazardous alcohol consumption or binge drinking is a relevant issue that requires major attention due to the practical implications that it causes [15,16,17,18]. A higher utilization of emergency services or primary care caused by alcohol consumption implies a greater demand for health care professionals and an increase in costs in the health system that needs to be addressed by policymakers. Since clinical settings are important sites for the identification of unhealthy alcohol use and for the initiation of brief interventions, the evaluation of the pattern of alcohol consumption and the use of health services could provide relevant information to address this public health issue.
Taking the health consequences created by alcohol consumption in young adults into consideration and the existing mixed evidence on the use of healthcare resources in university students, the current study presents the hypothesis that hazardous alcohol consumption and binge drinking patterns in university students are associated with greater use of emergency services and PC.
The aim of the study was to examine the association between alcohol consumption patterns (hazardous alcohol consumption and binge drinking) and the use of emergency services and PC consultations in first-year university students.
2. Materials and Methods
2.1. Study Design and Sample
This study is an observational, cross-sectional analysis of a dynamic cohort of first-year university students belonging to one of the following Spanish universities: León, Cantabria, Jaén, Vigo, Granada, Huelva, Salamanca, Valladolid, Alicante, and Valencia, all of which are part of the uniHcos project (University, Lifestyles, Follow-up Cohort). The uniHcos project is a multicenter study designed to examine the habits and lifestyles of Spanish university students [23]. The study received approval from the Ethics Committee of the University of León.
Selection criteria: (1) To be a first-year university student enrolled in a Spanish university included in the uniHcos project; (2) to complete the self-administered form and grant informed consent for participation in the study.
Since the uniHcos project is a dynamic cohort, we did not establish a minimum sample size for this study.
2.2. Data Collection
Participants were recruited through their university account email. The email included information on the objectives of the uniHcos project and a link to the mandatory informed consent form that had to be completed prior to answering the study questionnaire. The students who agreed to participate completed the self-reported online questionnaire between October 2011 and March 2018 using the SphinxOnline® platform (Le Shphinx Developpement, Chavanod, France). The questionnaire included questions on alcohol consumption from the National Health Survey (ENS) [24] and the Survey on Alcohol and Drugs in Spain (EDADES) [4].
Two patterns of alcohol consumption were studied: hazardous alcohol consumption and binge drinking. Both patterns were calculated using the Alcohol-Dependent Disorders Identification Test (AUDIT) questionnaire [25], which was validated in this population by Kokotailo et al. [26] and Verhoog et al. [27]. A positive result or hazardous alcohol use is considered to be an AUDIT score ≥ 8. This score determines the risk of developing alcohol consumption problems. Binge drinking (BD) or heavy episodic consumption was defined as ingesting six or more alcoholic beverages in a single session, both for men and women [25].
The use of emergency services was assessed by the question: “Have you used an emergency service because of a problem or illness in the last 12 months?” and use of a PC service was assessed by the question: “Have you consulted with a family doctor in the last four weeks for any problem, discomfort, or illness?” The answer to both questions could be “yes” or “no”. Additionally, the number of visits to the emergency department was quantified in three categories: none, one visit, two or more visits.
2.3. Data Analysis
A descriptive analysis was performed where central tendency measurements (mean and median) and dispersion (standard deviation and range) of the quantitative variables were calculated, as well as the prevalence of the qualitative variables.
To evaluate the relationship between the use of health services and dependent variables (hazardous alcohol consumption and binge drinking), we used the chi-squared test and Student’s t-test, as well as unconditional logistic regression analysis to calculate the odds ratio (OR) and 95% confidence interval (CI). All models were stratified by sex and adjusted for age, occupation, university degree, and type of residence. All statistical analyses were performed using IBM-SPSS statistical package, version 20.0 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY, USA) with a significance level of 95% (p = 0.05).
3. Results
There were 10,167 participants who completed the questionnaire, 72.2% (95% CI: 70.90–77.2) of whom were women. The participants’ age ranged between 17 and 63 years (mean: 22.11 years; SD: 4.51; 95% CI: 20.02–20.20). Full-time students represented 66.2% (95% CI: 65.3–67.2) of the respondents, 10.7% (95% CI: 10.1–11.3) combined studying and work, and 23.1% (95% CI: 22.3–24.0) were students and looking for work; 39.9% (95% CI: 39.0–40.9) of the respondents were enrolled in a degree in Social and Legal Sciences, 22.3% (95% CI: 21.5–23.1)—in Health Sciences, 15.3%—in Sciences, 12%—in Arts and Humanities, and 10% (95% CI: 11.4–12.7)—in Engineering and Architecture (Table 1).
Table 1.
Main characteristics of the study sample (n = 10,167).
| Main Characteristics of the Study Sample | n (%) | 95% CI | |
|---|---|---|---|
| Sex | Men | 2823 (27.8) | 25.6–27.3 |
| Women | 7344 (72.2) | 67.9–69.7 | |
| Age | 17–20 | 7810 (76.8) | 76.0–77.6 |
| 21–24 | 1496 (14.7) | 14.0–15.4 | |
| ≥25 | 861 (8.5) | 7.9–9.0 | |
| Occupation | Student | 6730 (66.2) | 65.3–67.1 |
| Student and employee | 1085 (10.7) | 10.1–11.3 | |
| Student and looking for work | 2352 (23.1) | 22.3–24.0 | |
| Residence | University residence | 1297 (12.8) | 12.1–13.4 |
| Family/own home | 4877 (48.0) | 47.0–48.9 | |
| Rental apartment | 3993 (39.3) | 38.3–40.2 | |
| Degree | Arts and Humanities | 1225 (12.0) | 11.4–12.7 |
| Sciences | 1556 (15.3) | 14.6–16.0 | |
| Health Sciences | 2268 (22.3) | 21.5–23.1 | |
| Social and Legal Sciences | 4061 (39.9) | 39.0–40.9 | |
| Engineering and architecture | 1057 (10.4) | 9.8–11.0 | |
| University | Alicante | 854 (8.4) | 7.9–8.9 |
| Cantabria | 88 (0.9) | 0.7–1.0 | |
| Castilla La Mancha | 192 (1.9) | 1.6–2.2 | |
| Granada | 2936 (28.9) | 28.0–29.8 | |
| Huelva | 428 (4.2) | 3.8–4.6 | |
| Jaén | 290 (2.9) | 2.5–3.2 | |
| León | 900 (8.9) | 8.3–9.4 | |
| Salamanca | 1211 (11.9) | 11.3–12.5 | |
| Valencia | 1452 (14.3) | 13.6–15.0 | |
| Valladolid | 616 (6.1) | 5.6–6.5 | |
| Vigo | 1200 (11.8) | 11.2–12.4 | |
95% CI = 95% confidence interval.
The prevalence of hazardous alcohol use in the surveyed population was 16.9% (95% CI: 16.2–17.6), while the prevalence of binge drinking was 48.8% (95% CI: 47.9–49.8).
Table 2 shows the participants’ hazardous alcohol use and binge drinking pattern depending on sociodemographic and academic variables. In terms of hazardous alcohol use, significant differences were observed related to age (p < 0.001; higher percentage of hazardous alcohol use in the students aged 17–20 years), sex (p < 0.001; higher hazardous alcohol consumption in women), place of residence (p < 0.001; higher consumption in those surveyed who rented), and university degree (p < 0.001; higher consumption in students enrolled in the field of Social and Legal Sciences).
Table 2.
Patterns of alcohol use in university students according to sociodemographic and occupational variables.
| Variables | Hazardous Alcohol Use | Binge Drinking | |||||
|---|---|---|---|---|---|---|---|
| No (n = 8450) n (%) |
Yes (n = 1717) n (%) |
p | No (n = 5203) n (%) |
Yes (n = 4964) n (%) |
p | ||
| Sex | Men | 2188 (25.9) | 635 (37.0) | <0.001 | 1484 (28.5) | 1339 (27.0) | 0.082 |
| Women | 6262 (74.1) | 1082 (63.0) | 3719 (71.5) | 3625 (73.0) | |||
| Age | 17–20 | 6459 (76.4) | 1351 (78.7) | <0.001 | 3969 (76.3) | 3841 (77.4) | <0.001 |
| 21–24 | 1237 (14.6) | 259 (15.1) | 731 (14.0) | 765 (15.4) | |||
| ≥25 | 754 (8.9) | 107 (6.2) | 503 (9.7) | 358 (7.2) | |||
| Occupation | Student | 5621 (66.5) | 1109 (64.6) | 0.077 | 3511 (67.5) | 3219 (64.8) | 0.012 |
| Student and employee | 910 (10.8) | 175 (10.2) | 548 (10.5) | 537 (10.8) | |||
| Student and looking for work | 1919 (22.7) | 433 (25.2) | 1144 (22.0) | 1208 (24.3) | |||
| Residence | University residence | 1034 (12.2) | 263 (15.3) | <0.001 | 613 (11.8) | 684 (13.8) | <0.001 |
| Family/own home | 4240 (50.2) | 637 (37.1) | 2833 (54.4) | 2044 (41.2) | |||
| Rental apartment | 3176 (37.6) | 817 (47.6) | 1757 (33.8) | 2236 (45.0) | |||
| Degree | Arts and Humanities | 1019 (12.1) | 206 (12.0) | <0.001 | 650 (12.5) | 575 (11.6) | <0.001 |
| Sciences | 1298 (15.4) | 258 (15.0) | 841 (16.2) | 715 (14.4) | |||
| Health Sciences | 1956 (23.1) | 312 (18.2) | 1203 (23.1) | 1065 (21.5) | |||
| Social and Legal Sciences | 3304 (39.1) | 757 (44.1) | 1936 (37.2) | 2125 (42.8) | |||
| Engineering and architecture | 873 (10.3) | 184 (10.7) | 573 (11.0) | 484 (9.8) | |||
The prevalence of those surveyed with hazardous alcohol use who had two or more visits to emergency services and PC was 21.7% (95% CI: 19.9–23.5) and 15.9% (95% CI: 13.4–18.4), respectively, while the prevalence of individuals with a binge drinking pattern who consulted emergency services and PC was 55.3% (95% CI: 54.5–59.0) and 48.5% (95% CI: 45.0–51.9), respectively. Table 3 shows the prevalence of emergency services and PC use in terms of alcohol consumption patterns. There were significant differences in emergency department visits between the participants surveyed who had a hazardous drinking pattern (p < 0.001) and those with a binge drinking pattern (p < 0.001).
Table 3.
Health services use among university students according to the pattern of alcohol use.
| Pattern of Alcohol Use |
Health Services Use | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Emergency Department | Primary Care | ||||||||
| No (n = 6380) n (%) |
Yes (n = 3787) n (%) |
p | No (n = 7592) n (%) |
Yes (n = 2575) n (%) |
p | ||||
| Hazardous alcohol use | No | 5413 (84.8) | 967 (80.2) | <0.001 | 6315 (83.2) | 1277 (82.9) | 0.367 | ||
| Yes | 3037 (15.2) | 2030 (19.8) | 2135 (16.8) | 3625 (17.1) | |||||
| Binge drinking | No | 3446 (54.0) | 2934 (46.4) | <0.001 | 3905 (51.4) | 3687 (50.4) | 0.755 | ||
| Yes | 1757 (46.0) | 2030 (53.6) | 1298 (48.6) | 1277 (49.6) | |||||
| Number of visits to the emergency department | Number of visits to primary care | ||||||||
|
0
n (%) |
1
n (%) |
≥2
n (%) |
p |
0
n (%) |
1
n (%) |
≥2
n (%) |
p | ||
| Hazardous alcohol use | No | 5417 (84.8) | 1486 (82.3) | 1547 (78.3) | <0.001 | 6316 (83.2) | 1447 (82.4) | 687 (84.1) | 0.523 |
| Yes | 969 (15.2) | 319 (17.7) | 429 (21.7) | 1277 (16.8) | 310 (17.6) | 130 (15.9) | |||
| Binge drinking | No | 3448 (54.0) | 872 (48.3) | 833 (44.7) | <0.001 | 3905 (51.4) | 877 (16.9) | 421 (8.1) | 0.508 |
| Yes | 2938 (46.0) | 933 (51.7) | 1093 (55.3) | 3688 (48.6) | 880 (50.1) | 396 (48.5) | |||
Table 4 shows the prevalence of emergency services and PC use in terms of alcohol consumption patterns stratified by sex. For both sexes, there were significant differences in emergency department visits between the participants surveyed who had a hazardous drinking pattern (p < 0.001) and those with a binge drinking pattern (p < 0.001).
Table 4.
Health services use among university students according to the pattern of alcohol use, stratified by sex.
| Patterns of Alcohol Use | Visits to Primary Care | ||||||
|---|---|---|---|---|---|---|---|
| Women | Men | ||||||
| No (n = 5315) n (%) |
Yes (n = 2029) n (%) |
p | No (n = 2277) n (%) |
Yes (n = 546) n (%) |
p | ||
| Hazardous alcohol use | No | 4539 (85.4) | 1723 (84.9) | 0.606 | 1776 (78.0) | 412 (75.5) | 0.704 |
| Yes | 776 (14.6) | 306 (15.1) | 501 (22.0) | 134 (24.5) | |||
| Binge drinking | No | 2712 (51.0) | 1007 (49.6) | 0.285 | 1193 (52.4) | 291(53.2) | 0.202 |
| Yes | 2603 (49.0) | 1022 (50.4) | 1084 (47.6) | 255 (46.8) | |||
| Patterns of Alcohol Use | Visits to the emergency department | ||||||
| Women | Men | ||||||
|
No (n = 4469)
n (%) |
Yes (n = 2875)
n (%) |
p |
No (n = 1911)
n (%) |
Yes (n = 912)
n (%) |
p | ||
| Hazardous alcohol use | No | 3880 (86.8) | 2382 (82.8) | <0.001 | 1533 (80.2) | 655 (71.8) | <0.001 |
| Yes | 589 (13.2) | 493 (17.2) | 378 (19.8) | 257 (28.2) | |||
| Binge drinking | No | 2383 (53.3) | 1336 (46.5) | <0.001 | 1063 (55.6) | 421 (46.2) | <0.001 |
| Yes | 2086 (46.7) | 1539 (53.5) | 848 (44.4) | 491(53.8) | |||
Table 5 shows the results of the logistic regression model for visits to the emergency department and PC, with statistically significant values in the hazardous alcohol consumption and binge drinking patterns and visits to the emergency department (p < 0.001 in both instances).
Table 5.
Association between the patterns of alcohol consumption and use of health services: logistic regression model.
| Visits to Primary Care | |||
|---|---|---|---|
| Patterns of Alcohol Use | aOR * | 95% CI | p |
| Hazardous alcohol use | 1.07 | 0.95–1.21 | 0.246 |
| Binge drinking | 1.03 | 0.94–1.13 | 0.521 |
| Visits to the emergency department | |||
| Patterns of alcohol use | aOR * | 95% CI | p |
| Hazardous alcohol use | 1.38 | 1.24–1.53 | <0.001 |
| Binge drinking | 1.30 | 1.19–1.40 | <0.001 |
aOR = adjusted odds ratio; 95% CI = 95% confidence interval. * Adjusted by age, sex, residence, occupation, degree, and pattern of alcohol consumption.
Regarding the factors associated with the use of health services according to the pattern of alcohol consumption, we found that sex was associated with visits to the emergency department and primary care consultations in both patterns of alcohol use (fewer visits to both health services in men who had hazardous alcohol use or binge drinking) (Table 6). Furthermore, there was a significant association between the type of residence and the use of health services (more visits to the emergency department and primary care among those who had binge drinking and lived in a rented apartment).
Table 6.
Factors associated with the use of health services according to the pattern of alcohol consumption: logistic regression model.
| Visits to the Emergency Department | Visits to Primary Care | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | Hazardous Drinking | Binge Drinking | Hazardous Drinking | Binge Drinking | |||||||||
| OR * | 95% CI | p | OR * | 95% CI | p | OR * | 95% CI | p | OR * | 95% CI | p | ||
| Sex | Men | 0.74 | 0.68–0.82 | <0.001 | 0.77 | 0.70–0.85 | <0.001 | 0.64 | 0.57–0.72 | <0.001 | 0.65 | 0.58–0.72 | <0.001 |
| Women | 1 | 1 | 1 | 1 | |||||||||
| Age | 17–20 | 1 | 1 | 1 | 1 | ||||||||
| 21–24 | 0.98 | 0.83–1.15 | 0.806 | 0.98 | 0.83–1.14 | 0.762 | 1.08 | 0.91–1.29 | 0.366 | 1.09 | 0.91–1.29 | 0.357 | |
| ≥25 | 1.10 | 0.84–1.20 | 0.948 | 0.99 | 0.83–1.19 | 0.986 | 1.17 | 0.96–1.42 | 0.120 | 1.17 | 0.96–1.42 | 0.120 | |
| Occupation | Student | 1.10 | 0.88–1.20 | 0.680 | 1.025 | 0.88–1.19 | 0.881 | 1.19 | 1.02–1.41 | 0.044 | 1.20 | 1.02–1.40 | 0.030 |
| Student and employee | 0.81 | 0.73–0.89 | <0.001 | 0.81 | 0.73–0.89 | 0.730 | 0.74 | 0.66–0.83 | 0.590 | 0.74 | 0.67–0.83 | <0.001 | |
| Student and looking for work | 1 | 1 | 1 | 1 | |||||||||
| Residence | University residence | 0.77 | 0.71–0.84 | 0.706 | 0.78 | 0.71–0.85 | 1.04 | 0.89–1.22 | 0.590 | 1.04 | 0.89–1.22 | 0.578 | |
| Family/own home | 1 | 1 | <0.001 | 1 | 1 | ||||||||
| Rental apartment | 1.08 | 0.94–1.23 | 0.942 | 1.09 | 0.95–1.25 | <0.001 | 1.11 | 1.01–1.22 | 0.044 | 1.10 | 1.01–1.22 | 0.048 | |
| Degree | Arts and Humanities | 1.11 | 0.97–1.26 | 0.123 | 0.88 | 0.75–1.03 | 0.115 | 0.91 | 0.76–1.09 | 0.312 | 0.91 | 0.76–1.09 | 0.311 |
| Sciences | 1 | 1 | 1 | 1 | |||||||||
| Health Sciences | 1.15 | 0.99–1.33 | 0.056 | 1.14 | 0.98–1.31 | 0.080 | 1.07 | 0.91–1.26 | 0.394 | 1.07 | 0.91–1.26 | 0.408 | |
| Social and Legal Sciences | 1.12 | 0.98–1.28 | 0.097 | 1.11 | 0.97–1.27 | 0.127 | 1.09 | 0.94–1.27 | 0.225 | 1.10 | 0.94–1.27 | 0.226 | |
| Engineering and architecture | 1.03 | 0.86–1.23 | 0.718 | 1.02 | 0.57–1.22 | 0.793 | 0.89 | 0.73–1.10 | 0.284 | 0.89 | 0.73–1.09 | 0.277 | |
aOR = adjusted odds ratio; 95% CI = 95% confidence interval. * Adjusted by age, sex, residence, occupation, degree, and pattern of alcohol consumption.
4. Discussion
The existing literature on the university students’ lifestyle indicates alcohol as one of the main public health problems in this population group [28,29]. Although a slight decrease in alcohol consumption has been observed among young adults since 2015, hazardous alcohol consumption persists among university students, and binge drinking has increased in the last decade, as well as the use of health services [4]. This study aimed to analyze the association between alcohol consumption patterns and the use of emergency services and PC by university students. The results reveal that the group of students enrolled in the university with hazardous alcohol use or binge drinking has a greater use of emergency services. However, no significant association was observed between these consumption patterns and PC visits.
The end of adolescence and the beginning of adulthood are marked by various changes of a social, educational, occupational, and economic nature [30]. The change of address, the beginning of university studies, first employment contracts, or new social circles characterize this vital period, which can be associated with a higher level of stress and frustration that can lead to unhealthy behaviors, such as alcohol consumption [6]. Similarly, in public health, behavioral aspects related to social structures typical of these ages are related. Young university students consider it more important to belong to a higher social group than the meaning of a more static risk, where social interaction networks play an essential role in addictions [31].
Current evidence indicates that hazardous alcohol consumption and binge drinking are higher in adolescence and early adulthood [4]. Despite being the age group with significant alcohol consumption, there is considerable variation in the prevalence of hazardous and binge drinking recorded in international texts. The prevalence of binge drinking varies in the literature from 24% to 64% in men and from 14% to 63% in women [32,33,34]. The heavy episodic consumption registered in this study is in line with international studies that have reflected a high percentage of individuals with binge drinking. The study by Beenstock et al. [35], carried out in 2008, identified the pattern of hazardous alcohol consumption in university students studying Humanities and Social Sciences, Agriculture, and Engineering from the United Kingdom in 82% of those surveyed. Another study carried out between 2008–2009 in Science, Sport Science, and Art students in the United Kingdom identified hazardous consumption of alcohol at 46% [36]. Conversely, an investigation carried out in New Zealand by Kypri et al., in which the prevalence of hazardous alcohol consumption was compared among university students and non-university young people aged 18 to 23, revealed that the prevalence of risky alcohol consumption in university students was almost double that of non-university students, while harmful alcohol consumption (AUDIT ≥ 15) was triple in university students compared to non-university students [37]. The previous findings show that the variations in prevalence of alcohol consumption may reflect differences in occupation (being a full-time student, employed, or both) of the different samples, as well as cultural differences in alcohol consumption worldwide.
A considerable amount of research in health services is focused on patients with alcohol intoxication, a consequence of ingesting large amounts of alcohol, and their use of emergency services [38,39,40]. Data from the 2005 and 2010 U.S. National Alcohol Surveys conducted in the general population do not show significant differences between patients with hazardous alcohol consumption and patients without hazardous consumption in terms of use of emergency services, PC, and hospitalizations in the previous year [41]. However, patients with alcohol use disorder (defined using the Diagnostic and Statistical Manual, 4th revision (DSM-IV), criteria) were significantly more likely to visit the emergency room in the previous year (18.2% vs. 11.6%; p = 0.003), report more PC visits (p = 0.05), and some hospitalizations (11.2% vs. 6.7%; p = 0.019) compared to individuals who did not present this disorder [40]. Similarly, our findings are in line with the results provided by Miquel et al. from a sample of more than 606,948 patients in Catalonia, where a greater use of emergency services was detected in individuals with high-risk alcohol use, but no greater use of PC services [42].
Screening for alcohol use in college students and using health services can help identify problematic drinking behaviors [43] and recognize groups of students at higher risk who may later be the target of intervention techniques [44], as well as develop personalized strategies to reduce the risk of alcohol consumption [45,46] as per the recommendations from the European Observatory on Drugs [47] and the United Nations Office in Drugs and Crime (UNOCD) and the World Health Organization [48]. In a study carried out in Australia, a web page was developed that had a series of online tools, one of which was the AUDIT questionnaire, that individually recorded hazardous alcohol consumption in university students. Guidelines were offered to reduce alcohol drinking, and information on the emotional and behavioral consequences of hazardous alcohol consumption and its relation to traffic accidents, estimates of the students’ annual alcohol expenditure, and links to useful information to stop drinking and smoking were also included. After these interventions, the study group exhibited a reduction of 17% in alcohol consumption after one month, compared to the control group, and 11% after 6 months. These differences were mainly due to fewer episodes of alcohol consumption and, to a lesser extent, less alcohol consumed in each episode [49].
Among the limitations of the current study it is necessary to highlight that the questionnaire used was not validated, though it does include validated questions from national questionnaires, like the EDADES Survey [4] and AUDIT [25]. Another limitation of the study lies in declaring alcohol consumption since consumption was registered through self-reporting by the respondents. Knowing they were being surveyed could lead to underestimation of the prevalence of participants’ alcohol consumption, but there are studies that consider it valid and reliable [50]. It is also worthy of mentioning that the frequency of use of emergency services or PC is correlational and not causative in the dataset. Additionally, it is necessary to highlight that “age” was not included as an inclusion–exclusion criterion. Since university is not compulsory, first-year university students were not necessarily young adults, and this aspect should be included as a limitation of the study.
The results of this study can serve as a basis in developing alcohol consumption prevention programs in university students focused on brief intervention and referral to treatment, or recovery. Various investigations have raised the need to carry out public health actions to reduce alcohol consumption in university students. These recommendations are based on reducing the number of alcohol outlets around college campuses, raising prices through taxes, enforcing laws related to alcohol consumption, restrictions on alcohol advertising, increasing the minimum age of purchase to age 20 or 21, stricter control of alcohol sales at university events, and screening and interventions in health services attended by university students [37,47,48,51]. These constraints are contemplated within the framework of actions to promote health and the Spanish Network of Healthy Universities (REUS) [52] and are part of international strategies like the Global Strategy to reduce the harmful use of alcohol (2010) [53] and the World Health Organization’s SAFER initiative (2018) [54], the strategy to help European Union countries reduce alcohol-related harm [55] and goal 3.5 of the 2030 United Nations Agenda [56], as well as the National Strategy on Addictions 2017–2024 [57] and the Strategy for Health Promotion and Prevention in the National Health System [58].
As such, multicenter longitudinal studies are needed to evaluate the association of hazardous alcohol use and binge drinking and the use of health services in the university setting [59], as well as longitudinal analyses that examine other risk factors in this population group, like tobacco or other drugs, and their possible impact on health services.
5. Conclusions
The current study shows that an association exists between university students with a pattern of hazardous alcohol consumption or binge drinking and greater use of emergency services. However, no significant association is observed between the said consumption patterns and attendance at a PC consultation. As such, it is necessary to implement alcohol consumption prevention programs in universities to reduce binge drinking and hazardous alcohol consumption. These strategies can be implemented from the academic field, for example, at PC consultations.
Author Contributions
Conceptualization, E.R.-R., C.A.-P. (Carmen Amezcua-Prieto), R.M.-C., T.F.-V., M.M.S.-V., C.A.-P. (Carlos Ayán-Pérez), L.F.V.J., V.M.-S., R.O.-M., S.R.-M., J.A.O., M.D.-R., G.B.A., J.A.-M. and J.M.C.-C.; methodology, E.R.-R., C.A.-P. (Carmen Amezcua-Prieto), R.M.-C., T.F.-V., M.M.S.-V., C.A.-P. (Carlos Ayán-Pérez), L.F.V.J., V.M.-S., R.O.-M., S.R.-M., J.A.O., M.D.-R., G.B.A., J.A.-M. and J.M.C.-C.; software, E.R.-R. and T.F.-V.; validation, E.R.-R., C.A.-P. (Carmen Amezcua-Prieto), R.M.-C., T.F.-V., M.M.S.-V., C.A.-P. (Carlos Ayán-Pérez), L.F.V.J., V.M.-S., R.O.-M., S.R.-M., J.A.O., M.D.-R., G.B.A., J.A.-M. and J.M.C.-C.; formal analysis, E.R.-R. and T.F.-V.; investigation, E.R.-R. and T.F.-V.; resources, E.R.-R. and T.F.-V.; data curation E.R.-R. and T.F.-V.; writing—original draft preparation, E.R.-R.; writing—review and editing, E.R.-R., C.A.-P. (Carmen Amezcua-Prieto), R.M.-C., T.F.-V., M.M.S.-V., C.A.-P. (Carlos Ayán-Pérez), L.F.V.J., V.M.-S., R.O.-M., S.R.-M., J.A.O., M.D.-R., G.B.A., J.A.-M. and J.M.C.-C.; visualization, E.R.-R.; supervision, T.F.-V.; project administration, T.F.-V.; funding acquisition, T.F.-V. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of The University of León.
Informed Consent Statement
Informed consent was obtained from all the subjects involved in the study.
Data Availability Statement
The datasets analyzed in the current study are available from the corresponding author on reasonable request.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Funding Statement
This study was funded by the National Drug Plan, Ministry of Health, Social Services, and Equality of Spain (codes 2010|145 and 2013|034) and project PI16/01947.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets analyzed in the current study are available from the corresponding author on reasonable request.