INTRODUCTION
College years are characterized by transitioning from pre-adult to adulthood, a period of turmoil, adjusting to the new condition, separation from parental supervision, independence, and countering new things throughout everyday life. Research shows that depression is a common mental health issue in all age groups, including children.[1,2] Depression is one of the leading causes of disease burden worldwide and is ranked as the second leading cause of disability. Around 4.4% of the world population suffers from depression, according to the estimates of the World Health Organization.[3] Research studies have shown depression among college students is profoundly predominant.[4,5] There is intense academic pressure commonly associated with escalations in various health-risk behaviors, including alcohol, tobacco, and illicit drug use.[6-8] Mohamed et al.[9] reported that substance use disorders are associated with high levels of anxiety and depression. During this period, the use of alcohol and drug among university students has been recognized as a global public health issue.[10] Risk for the onset of alcohol dependence peaks at the age of 18 years. Moreover, alcohol use disorders are more prevalent among emerging and young adults than among any other age group. Approximately 9% of those ages 18–29 meet the criteria for alcohol dependence, more than twice the overall prevalence rate.[11,12] A recent study[13] conducted in India shows that lifetime use of alcohol was reported by 1168 (21.4%) students (men—726 [39%]; women—442 [12.6%]). The finding from the research study shows that there is excessive alcohol use and drug use among college students, which can lead to adverse health and social outcomes.[14-16] Esmaeelzadeh et al.[17] found that 14.7% of post-secondary students were diagnosed or treated for depression and 18.4% for anxiety within the past 12 months. Among current (past 30 days) substance use, it was reported that alcohol (69.3%), cannabis (17.9%), and tobacco (11%) were the most common. There was a significant association between depression and current tobacco and cannabis use among students.
A few studies have been conducted on college-going students in the northeast region. Especially, data from Meghalaya are significantly less. A survey of the prevalence of alcohol consumption in Northeast India among the general population shows that Meghalaya and Mizoram have the highest alcohol consumption, and the age group of alcohol consumption is between 25 and 44 years old.[18] Thus, the present study was aimed to assess the prevalence of substance use and depression in college-going youth of Meghalaya, India. The finding from the study can help policymakers and health professionals deal with the immediate need for mental health support services for students.
AIMS AND OBJECTIVES
To study the prevalence of alcohol and drug use, depression, and anxiety in college going youth of Meghalaya, India.
Objectives
To evaluate the level of depression and anxiety among first-year college students.
To determine alcohol use and drug use among first-year college students.
To see the predictors of depression among first-year college students.
MATERIALS AND METHODS
The present study was a cross-sectional community-based study to find the prevalence and predictors of depression among college-going youth in Shillong, Meghalaya, India. The population for this research was first-year undergraduate students from St. Edmunds College, Shillong, East Khasi Hills District, Meghalaya, India. Those who belonged to the age group of 18–24 years were selected as a sample. The participant was from the arts, science, commerce, social work, and computer application department. The researcher used random sampling (lottery method) as the technique for the selection of colleges. In accordance with this, we selected St. Edmunds College to conduct the research. For the selection of college-going students, we used the total enumeration method. A total of 358 respondents were selected for the present study. Permission from the college authority was obtained, and written informed consent was taken from the students. Data collection was performed over 10 months, from September 2018 to July 2019. The study was undertaken with the approval of the Scientific Committee and Institute Ethics Committee of LGBRIMH, Tezpur. The research ensured the confidentiality of all personal information relating to the youth in the investigation. The participants explained the study’s purpose, and samples were selected voluntarily. The present study’s data were analyzed and interpreted using Statistical Package for Social Sciences (SPSS), Version 23.0 (IBM Corporation, Armonk, NY, USA).
Tools used
Socio-demographic datasheet
A socio-demographic datasheet was used for collecting details regarding age, sex, ethnicity, and religion.
Beck Depression Inventory-II[
19]
The Beck Depression Inventory Scale-II (BDI) was used to measure the symptoms of depression. This BDI-II is 21 items self-report screening scale for measuring depression. The responses were made on a 4-point scale ranging from 0 to 3 based on the severity in the last 2 weeks. In BDI, the total score ranges from 0 to 9, indicating minimal depression, and 30–63 indicating severe depression. The higher score in BDI indicates more severe depression symptoms among the respondents.
Hamilton Anxiety Rating Scale (HAM-A)[
20]
The HAM-A was used to measure the severity of anxiety symptoms. The scale consists of 14 items, each defined by a series of symptoms, and measures both psychic anxiety (mental agitation and psychological distress) and somatic anxiety (physical complaints related to pressure). The total score lies in range of 0–56 and each item is scored on a scale of 0 (not present) to 4 (severe).
Alcohol use disorder identification test[
21]
Alcohol use was measured using the Alcohol Use Disorder Identification Test (AUDIT). This measure has items that relate to alcohol consumption (e.g., quantity, frequency), alcohol dependence (e.g., failure to fulfill responsibilities, guilt), and alcohol-related problems (e.g., memory loss, injury). The version used in this study is self-report and contains ten items (e.g., “How often do you have a drink containing alcohol?”). Each item is rated on a scale of 0 to 4 (e.g., 0 = never to 4 = daily or almost daily). Scores of 8 and above indicate excessive or hazardous drinking.
Drug abuse screening test[
22]
Drug use among youth was measured using the Drug Abuse Screening Test (DAST-I 0; Skinner, 1982). This scale consists of 10 items (e.g., “Have you used drugs other than those required for medical reasons?”) and participants are asked to circle “yes” or “no.” Each “yes” response is worth one point. Item 3 is reverse scored such that selecting “no” indicates an inability to control one’s drug use. Thus, higher scores indicate more incredible drug abuse, with a score of 3 or above suggesting possible dependence.
RESULTS
In the current study, the total number of participants was 358, of which men account for 43.6% and women for 56.1%. As seen in the present study, the number of females is more than half that of males. The results showed that the number of tribal participants was high, with a total of 214 in number and a percentage of 59.8%. The nontribal comprises 139 in total number and consists of 38.8%. Predominantly Meghalaya is a Tribal-State; hence, the results of the current study could be explained in that context whereby tribal participation was among the majority; the dominating religion with the highest number in total was Christianity consisting of 55.6%, which accounted for more than half of the total, 21.8% reside in rural areas, 12.8% live in a semi-urban area, 65.5%, participants dwell in urban. Most participants come from a nuclear family type which amounts to 80.4%, followed by a typical family type of 16.5% [Table 1].
Table 1: -
Socio-demographic profiles of the college-going
youth (
N = 358)
Variables |
Mean |
SD |
Age |
19.7626 |
1.19384 |
Variables
|
Frequency (N
) |
Percentage (%) |
Sex |
|
|
Male |
156 |
43.6 |
Female |
201 |
56.1 |
Ethnicity |
|
|
Tribal |
219 |
61.2 |
Nontribal |
139 |
38.8 |
Religion |
|
|
Christianity |
199 |
55.6 |
Hinduism |
98 |
27.4 |
Islam |
3 |
0.8 |
Others |
58 |
16.2 |
Domicile |
|
|
Rural |
78 |
21.8 |
Urban |
234 |
65.4 |
Semi-urban |
46 |
12.8 |
Family type |
|
|
288 |
80.4 |
288 |
59 |
16.5 |
59 |
11 |
3.1 |
11 |
The participant’s alcohol consumption related to harmful and excessive use of alcohol was assessed using the Alcohol Use Disorders Identification Test (AUDIT). The finding shows that out of 358 participants’ the majority were at low risk, 82.4%, followed by 12.3% of participants with a risky use of alcohol. Of them, 4.2% were found to be at high risk or harmful levels, and 1.1% of participants were at increased risk [Table 2]. It was seen that 97.2% (348) participants do not have any problem related to drug use forming a majority; however, four participants account for 1.1%; in that, each has a moderate substantial and severe level of service, and 0.3% have an extreme level of addiction [Table 2].
Table 2: -
Prevalence of
alcohol use among college students
Audit category |
Frequency |
Percentage (%) |
Low risk |
295 |
82.4 |
Risky level/moderate risk of harm |
44 |
12.3 |
High-risk or harmful level |
15 |
4.2 |
High risk/dependence likely |
4 |
1.1 |
Total |
358 |
100.0 |
Drug abuse screening test—DAST
|
Frequency
|
Percentage (%) |
No problem |
348 |
97.2 |
Low level |
1 |
0.3 |
Moderate level |
4 |
1.1 |
Substantial level |
4 |
1.1 |
Severe level |
1 |
0.3 |
Total |
358 |
100.0 |
Among the current participants, the rate of those with mild anxiety constitutes the maximum at 63.4%, followed by mild-to-moderate anxiety at 31.6%, and 5.0% of the participants had moderate-to-severe anxiety levels [Table 3].
Table 3: -
Prevalence of anxiety among college students
Anxiety |
Frequency |
Percentage (%) |
Mild anxiety |
227 |
63.4 |
Mild to moderate anxiety |
113 |
31.6 |
Moderate to severe |
18 |
5.0 |
Total |
358 |
100.0 |
In the present study, 40.5% fall under the normal range of depression, whereas 38.3% have mild mood disturbance, borderline clinical depression made up 10.3% of the total population, followed by moderate depression (9.7%), and severe depression was found in 1.1% [Table 4].
Table 4: -
Prevalence of
depression among college students
Depression |
Frequency |
Percentage (%) |
Normal |
145 |
40.5 |
Mild depression |
137 |
38.2 |
Borderline depression |
37 |
10.33 |
Moderate depression |
35 |
9.7 |
Severe depression |
4 |
1.1 |
Total |
358 |
100 |
Depression has a significant positive correlation with alcohol use (r = .252, P = 0.01) and drug use (r =.2.259, P = 0.01) [Table 5].
Table 5: -
Correlation between
depression,
alcohol use,
drug use, and age
|
Age |
Alcohol use |
Drug use |
Depression |
-.039 |
.252
**
|
.259
**
|
** Correlation is significant at the 0.01 level (2-tailed)
We conducted a regression analysis to explore the predictors of depression. As shown in Table 6, alcohol use, drug use, and gender contribute significantly to the prediction of depression among college-going students (F[5,19.551] = 855.3, P = 0.000) accounting for 21.7% variance. The remaining 78.30% was attributed to a variable not included in the study. Alcohol use strongly contributes to the variance of depression (β = .402, t = 5.648, P = 0.000). Also, drug use with (β = 1.448, t = 3.926, P = 0.000) and gender (β = 5.422, t = 7.245, P = 0.000) contribute strongly to depression variance.
Table 6: -
Regression analysis summary of
alcohol use,
drug use, age, socioeconomic status, and gender on
depression (
n = 358)
Model summary |
R
|
R
2
|
Adjusted R
2
|
Std. the error in the estimate |
.466 |
.217 |
.206 |
6.61420 |
|
Sum of squares
|
df
|
Mean square
|
F
|
Sig.
|
Regression |
4276.648 |
5 |
855.330 |
19.551 |
.000 |
Residual |
15399.188 |
352 |
43.748 |
|
|
Total |
19675.835 |
357 |
|
|
|
Coefficients
|
Unstandardized coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
Variables
|
B
|
Std. Error (SE) |
Beta
|
Constant |
–1.974 |
6.294 |
|
–.314 |
.754 |
Alcohol use |
.402 |
.071 |
.296 |
5.648 |
.000 |
Drug use |
1.448 |
.369 |
.198 |
3.926 |
.000 |
Gender |
5.422 |
.748 |
.363 |
7.245 |
.000 |
Age |
.161 |
.298 |
.026 |
.540 |
.590 |
Socioeconomic status |
.313 |
.294 |
.051 |
1.067 |
.287 |
DISCUSSION
The finding shows that out of 358 participants, the majority were at low risk, 82.4%, followed by 12.3% of participants with a risky use of alcohol, 4.2% were found to be in a high risk or harmful level, and 1.1% in a high risk. A study conducted in North India among college student by Chaudhary et al.[23] reveal that 87.3% are non-problem drinkers, 6.8% of the alcohol users are hazardous, 2.3% are harmful, and 3.6% are dependent on the pattern of alcohol consumption among the students using disorders identification test (AUDIT). The findings of this study support the current research. Also, Thakur et al.[24] analysis indicates that the prevalence of everyday and regular use of alcohol among the respondents was 13.8% which supports the present research in terms of daily use. In a survey carried out by Verenkar and Vaz,[25] among college students in Goa prevalence of alcohol consumption was found to be 39.4%, 82.3% were light drinkers, and 17.7% were identified as heavy drinkers. Hazardous alcohol consumption was determined in 46.7% of alcohol consumers 20.9% of alcohol consumers showed signs of alcohol dependence. The prevalence of alcohol consumption among adolescents in Kerala is 15%, and 25.3% of drinkers reported hazardous alcohol use.[26] Their findings are not consistent with that of the present research. In the current study, although hazardous and alcohol dependence is much lesser than in the previous study, this could be due to the respondents’ geographical area, cultural background, religion, and socioeconomic status. The Khasi culture allowed alcohol consumption during social gatherings and rituals in the community and family. However, abuse is not acceptable. A study on the prevalence of alcohol consumption in Northeast India (2016) among the general population shows that Meghalaya and Mizoram have the highest alcohol consumption, and the age group of alcohol consumption is between 25 and 44 years old.[18] Thus, the population of the study and age could be a reason for the lesser number of hazardous uses of alcohol consumption among the college student in the current study. The present study’s finding shows that 1.1% of the participants had a moderate substantial and severe level of use of drugs, and 0.3% had an extreme drug addiction. The epidemiological research indicates young people in the age range of 18–29 years are the most likely to use marijuana or other illicit drugs relative to different age groups.[27-29] Prakash et al.[30] found that 8.60% have tried some substance of abuse such as marijuana (5.51%), LSD (1.10%), cocaine (1.32%), and others (1.76%). Among the substance users including adolescents and young adults, 1.54% used it regularly, 1.76% occasionally, and 2.20% only once. Tsering et al.[31] reported that out of 416 students, 52 (12.5%) used or abused any substances, irrespective of time and frequency in their lifetime. The report on the magnitude of substance abuse in India (2019), published by the Ministry of Social Justice and Empowerment, Government of India, stated that the Meghalaya prevalence of use of alcohol was 3.4% and dependence was present in 0.9% of the respondents, cannabis (1.68% of current user and 0.15% dependence), opioid (6.34% dependence), sedatives (0.85 current users of sedatives), inhabitants (0.8% users), and cocaine (0.05% current uses of cocaine).[32]
Depression among college students is quite prevalent. In the present study, 38.3% had mild mood disturbance, borderline clinical depression made up 10.3%, moderate depression made up 9.7%, and severe depression was found in 1.1% of the participants. Shah and Pol[5] conducted a prospective study among college students aged 18–25 years, using the Beck’s Depression and Anxiety Inventory, and found that depression was prevalent in about 48.30% of the students. In contrast, anxiety was overall in 50% of these students. Islam et al.[33] reported that college-going students were experiencing heightened depression and anxiety. Around 15% of the students reportedly had moderately severe depression, whereas 18.1% suffered from anxiety. Deb et al.[34] stated that 37.7%, 13.1%, and 2.4% of students suffered moderate, severe, and extremely severe depression.
Depression has a significant positive correlation with alcohol use and drug use in the present study. Further, regression analysis shows that alcohol use, drug use, and gender contribute significantly to the prediction of depression among college-going students (F[5,19.551] = 855.3, P = 0.000) accounting for 21.7% variance. Ramón-Arbués et al.[35] stated that smoking, being a woman, and consuming alcohol frequently were significantly associated with symptoms of stress. Frequent consumption of alcohol was significantly associated with anxiety symptoms. Leino and Kisch[36] studied the correlates and predictors of depression in college students. Logistic regression analyses demonstrated that women or those students in an emotionally abusive relationship were predictive of having depression. Further, Esmaeelzadeh et al.[37] found significant associations between depression, tobacco use and cannabis use, and anxiety and alcohol use among students. Self-reported heavy, problem drinkers experienced significantly higher BDI scores.[38] Change in depressive symptoms was associated with real alcohol problems, impaired control, self-perception, self-care, academic/occupational, and physiological dependence problems.[39]
Limitation
First, we selected one college from one geographical location. This sample of students was primarily of tribal ethnicity from Meghalaya, and no other ethnic group was present in the study. Second, we assessed depression, anxiety, alcohol, and drug use via a self-reported questionnaire but did not clinically confirm the findings. Thus, rates of depression and anxiety symptoms and alcohol and drug use may be either over-or underestimated in the present study. Third, the cross-sectional nature of the study design limits our ability to examine the interaction of mental health and alcohol and drug use over time.
CONCLUSION
Hence, significant college students are involved in high-risk behavior, that is, alcohol and drug use. Anxiety and depression are pretty prevalent among college students. The finding shows that alcohol use, drug use, and gender contribute significantly to the prediction of depression among college-going students. Multisite research needs to be conducted from different geographical regions to generalize the study result. A college mental program is required on campus to deal with alcohol and drug use problems and mental health problems. The emphasis should encourage students to seek help from appropriate health centers and community services.
Ethical consideration
Clearance/approval from the Scientific Advisory Committee (SAC) of LGB Regional Institute of Mental Health, Tezpur, Assam, India, was obtained for undertaking the proposed research project vide letter No. MGMIHS/Res/02/2017-18/186 Dated 23rd March 2018. The proposal was performed by the ethical standards of the 1964 Declaration of Helsinki. All participants provided their written informed consent before participating in the study. This study is a part of M. Phil’s dissertation titled “Body Image, Romantic Relationship, Psychological Adjustment, and Substance Use in college-going students” vide letter no.LGB/ACA/SAC/2589/15/2844 dated 12/7/18.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
REFERENCES
1. Grover S, Raju VV, Sharma A, Shah R.
Depression in children and adolescents: A review of Indian studies. Indian J Psychol Med 2019;41:216-27
2. Keren M, Tyano S.
Depression in infancy. Child Adolesc Psychiatr Clin N Am 2006;15:883-97, viii
3. World Health Organization.
Depression and Other Common Mental Disorders: Global Health Estimates. License: CC BY-NC-SA 3.0 IGO. Geneva: World Health Organization; 2017
4. Sarokhani D, Delpisheh A, Veisani Y, Sarokhani MT, Manesh RE, Sayehmiri K. Prevalence of
depression among university students: A systematic review and meta-analysis study. Depress Res Treat 2013;2013:373857
5. Shah TD, Pol T. Prevalence of
depression and anxiety in college students. J Mental Health Hum Behav 2020;25:10-3
6. Yi S, Peltzer K, Pengpid S, Susilowati IH. Prevalence and associated factors of illicit
drug use among university students in the association of southeast Asian nations (ASEAN). Subst Abuse Treat Prev Policy 2017;12:9
7. Fromme K, Corbin WR, Kruse MI. Behavioral risks during the transition from high school to college. Dev Psychol 2008;44:1497-504
8. White HR, McMorris BJ, Catalano RF, Fleming CB, Haggerty KP, Abbott RD. Increases in alcohol and marijuana use during the transition out of high school into emerging adulthood: The effects of leaving home, going to college, and high school protective factors. J Stud Alcohol 2006;67:810-22
9. Mohamed II, Ahmad HEK, Hassaan SH, Hassan SM. Assessment of anxiety and
depression among substance use disorder patients: A case-control study. Middle East Curr Psychiatry 2020;27Article no. 22. doi:10.1186/s43045-020-00029-w.
10. Degenhardt L, Hall W. Extent of illicit
drug use and dependence, and their contribution to the global disease burden. Lancet 2012;379: 55-70
11. Grant BF, Hasin DS, Stinson FS, Dawson DA, Chou SP, Ruan WJ, et al. Prevalence, correlates, and disability of personality disorders in the United States: Results from the national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry 2004;65:948-58
12. Li H, Lv J, Yu C, Guo Y, Bian Z, Fan J, et al. The association between age at initiation of alcohol consumption and type 2 diabetes mellitus: A cohort study of 0.5 million persons in China. Am J Epidemiol 2020;189:1478-91
13. Raveendranathan D, Jaisoorya TS, Nair BS, Menon PG, Rani A, Thennarasu K, et al. Gender-specific correlates of
alcohol use among college students in Kerala, India. Indian J Psychol Med 2020;42:341-5
14. Bell R, Wechsler H, Johnston LD. Correlates of college student marijuana use: Results of a U.S. National Survey. Addiction 1997;92:571-81
15. Pope HG Jr, Yurgelun-Todd D. The residual cognitive effects of heavy marijuana use in college students. JAMA 1996;275:521-7
16. Caldeira KM, Arria AM, O’Grady KE, Vincent KB, Wish ED. The occurrence of cannabis use disorders and other cannabis-related problems among first-year college students. Addict Behav 2008;33:397-411
17. Esmaeelzadeh S, Moraros J, Thorpe L, Bird Y. Examining the association and directionality between mental health disorders and substance use among adolescents and young adults in the U.S. and Canada—A systematic review and meta-analysis. J Clin Med 2018;7:543
18. Yadav J, Singh JK, Gautam S. Correlates of substance use in Northeast states, India. Int J Commun Med Public Health 2016;3:1531-9
19. Beck AT, Steer RA, Ball R, Ranieri W. Comparison of Beck
depression inventories-IA and -II in psychiatric outpatients. J Pers Assess 1996;67:588-97
20. Thompson E. Hamilton Rating Scale for Anxiety (HAM-A). Occup Med (Lond) 2015;65:601
21. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT: The
Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Health Care2nd ed. Geneva: World Health Organization, Department of Mental Health and Substance Dependence; 2001. 38
22. Skinner HA. The drug abuse screening test. Addict Behav 1982;7:363-71
23. Chaudhary V, Katyal R, Singh SP, Joshi HS, Upadhyay D, Singh A. A study on the pattern of
alcohol use using AUDIT among college students in a medical college in North India. Natl J Commun Med 2015;6:253-7
24. Thakur S, Singh H, Sachdeva A, Barwal V. Prevalence and correlates of alcohol abuse among school going adolescents in a hilly district of Himalayan region in India. J Adv Med Dent Scie Res 2017;5:5-10
25. Verenkar YJ, Vaz FS. Prevalence and pattern of alcohol consumption using
alcohol use disorder identification test among students at a medical college in Goa, India. Int J Commun Med Public Health 2018;5:2935-8
26. Jaisoorya TS, Beena KV, Beena M, Ellangovan K, Jose DC, Thennarasu K, et al. Prevalence and correlates of
alcohol use among adolescents attending school in Kerala, India. Drug Alcohol Rev 2016;35:523-9
27. Compton WM, Grant BF, Colliver JD, Glantz MD, Stinson FS. Prevalence of marijuana use disorders in the United States: 1991–1992 and 2001–2002. JAMA 2004;291:2114-21
28. Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. National Survey Results on
Drug Use from the Monitoring the Future Study, 1975–2003: Volume II. College Students and Adults Ages 19–45. Bethesda, MD: National Institute on Drug Abuse; 2005. 680
29. U.S. Department of Health & Human Services. Substance Abuse and Mental Health Service Administration (SAMHSA), Office of Applied Studies. (2004) The DAWN Report: Oxycodone, Hydrocodone, and Polydrug Use. Rockville, MD: SAMHSA’s; 2002
30. Prakash A, Vidya B, Suhailah WN, Mohanan A, Kundapur R, Badiger S. Substance abuse and practices and their consequences among adolescents and young adults in Mangalore. Nitte Uni J Health Allied Sci 2015;5:31-4
31. Tsering D, Pal R, Dasgupta A. Substance use among adolescent high school students in India: A survey of knowledge, attitude, and opinion. J Pharm Bioallied Sci 2010;2:137-40
32. Meghalaya: Department of Social Welfare. Drug abuse prevention policy; 2020. Shillong: Department of Social Welfare. 2020. 28p. Available from https://megsocialwelfare.gov.in/documents/MDAPP_2020.pdf [Last accessed on 2023 Jan 2]
33. Islam MA, Barna SD, Raihan H, Khan MNA, Hossain MT.
Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PLoS One 2020;15:e0238162
34. Deb S, Banu PR, Thomas S, Vardhan RV, Rao PT, Khawaja N.
Depression among Indian university students and its association with perceived university academic environment, living arrangements, and personal issues. Asian J Psychiatr 2016;23:108-17
35. Ramón-Arbués E, Gea-Caballero V, Granada-López JM, Juárez-Vela R, Pellicer-García B, Antón-Solanas I. The prevalence of
depression, anxiety and stress and their associated factors in college students. Int J Environ Res Public Health 2020;17:7001
36. Leino EV, Kisch J. Correlates and predictors of
depression in college students: Results from the spring 2000 national college health assessment. Am J Health Educ 2005;36:66-74
37. Esmaeelzadeh S, Moraros J, Thorpe L, Bird Y. The association between
depression, anxiety, and substance use among Canadian post-secondary students. Neuropsychiatr Dis Treat 2018;14:3241-51
38. Geisner IM, Mallett K, Kilmer JR. An examination of depressive symptoms and drinking patterns in first-year college students. Issues Ment Health Nurs 2012;33:280-7
39. Acuff SF, Soltis KE, Luciano MT, Meshesha LZ, Pedrelli P, Dennhardt AA, et al. Depressive symptoms as predictors of alcohol problem domains and reinforcement among heavy drinking college students. Psychol Addict Behav 2018;32:792-9