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ORIGINAL ARTICLE
Year : 2019  |  Volume : 28  |  Issue : 2  |  Page : 160-169  Table of Contents     

Association of educational stress with depression, anxiety, and substance use among medical and engineering undergraduates in India


1 Department of Psychiatry, Army College of Medical Sciences, New Delhi, India
2 Department of Psychiatry, PES Institute of Medical Sciences and Research, Kuppam, Andhra Pradesh, India

Date of Submission26-Jan-2020
Date of Acceptance23-May-2020
Date of Web Publication14-Aug-2020

Correspondence Address:
Dr. Anurag Timothy
Department of Psychiatry, Army College of Medical Sciences, New Delhi - 110 010
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ipj.ipj_3_20

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   Abstract 


Background: Students pursuing higher education are subject to high stress levels which could be associated with dysfunctional coping. Maladaptive coping is known to be operative in manifesting as psychopathology as depression, anxiety, suicidal ideation, and substance abuse. This study aimed to elaborate the psychological morbidity among professional undergraduates in general and medical students in particular, its evolution over the years and its psychosocial correlates. Methodology: The study examined medical students (n = 202) and age-matched engineering students (n = 145) belonging to the first and final year for psychological stress and coping, educational stress, domestic and professional concerns, depression, anxiety, and substance abuse. Psychometric scales along with demographic questionnaire were used to assess and quantify stress and psychological morbidity. Results: Medical students had higher levels of stress (psychological and education related) and higher psychological morbidity (depression and anxiety). Stress scores correlated positively with depression and anxiety scores and negatively with substance use score. Psychological stress other than educational stress was noted to be predictors of alcohol use in the sample. Conclusion: Our study elucidates that medical students face higher levels of psychological and education-related stressors and have higher levels of psychological morbidity than students from engineering colleges. Psychoactive substances are used as a form of self-medication to alleviate stress.

Keywords: Anxiety, coping, depression, educational stress, medical students, substance use


How to cite this article:
Saxena SK, Mani RN, Dwivedi AK, Ryali V S, Timothy A. Association of educational stress with depression, anxiety, and substance use among medical and engineering undergraduates in India. Ind Psychiatry J 2019;28:160-9

How to cite this URL:
Saxena SK, Mani RN, Dwivedi AK, Ryali V S, Timothy A. Association of educational stress with depression, anxiety, and substance use among medical and engineering undergraduates in India. Ind Psychiatry J [serial online] 2019 [cited 2020 Nov 27];28:160-9. Available from: https://www.industrialpsychiatry.org/text.asp?2019/28/2/160/291971



The goal of medical education is to train knowledgeable, competent, and professional physicians equipped to care for the infirm, advance the science of medicine, and promote public health. Medical students face a large number of stressors in their daily lives. Stress in medical school add onto the usual stress that all students experience. There are various stressors among students, for example, physical, psychological, familial, financial, social, academic, and clinical.[1] Majority of the studies have revealed a high prevalence of psychological distress in the medical students.[2],[3],[4],[5],[6] Moreover, the stress level is higher in medical students compared to the students in other courses.[7],[8] A systematic review[9] estimated a prevalence of depression and depressive symptoms of 28.8% in the medical workforce (ranging from 20.9% to 43.2%). A recent systematic review[10] from India noted that the pooled prevalence rate of depression was 39.2%, that for anxiety was 34.5%, and for stress the rate was 51.3%. The final year students were significantly more stressed than the 1st year students,[11],[12] and the risk factors associated with higher perceived stress were female gender,[13] vastness of academic curriculum, fear of failure or poor performance in the examination, lack of recreation, academic curriculum, frequency of examinations, performance in examinations, competition with peers, high parental expectations, and psychosocial factors.[12],[14],[15] A systematic review of substance use among medical students[16] noted that, with the exception of alcohol in some areas of the Western world, medical students use substances less than university students in general and the general population. The substances used were mainly alcohol (24%), tobacco (17.2%), and cannabis (11.8%). The use of hypnotic and sedative drugs was also common (9.9%) with the rates of use of other drugs being low (stimulants [7.7%], cocaine [2.1%], and opiates [0.4%]). Very high levels of substance use (up to 91.3% alcohol users and 26.2 cannabis users) were noted in a recent study among medical students in 49 medical colleges.[17] A recent Indian study,[18] however, found the prevalence of substance abuse to be 20.43% among medical students with an increase in use observed in the latter years of medical education and the most common reasons for substance use was relief from psychological stress (72.4%). Most of the above studies reported prevalence and factors associated with stress, dysfunctional coping, and psychological morbidity among medical students. The study sought to elaborate the psychological morbidity among professional undergraduates in general and medical students in particular, its evolution over the years in medical school and its psychosocial correlates. Engineering colleges provide an environment similar to the medical colleges (both being professional colleges) that may be used for the comparison.


   Methodology Top


A cross-sectional study was carried out at a medical college, with sample population being all the available 1st year (n = 108) and final year (n = 94) students. Undergraduates of first (n = 73) and final year (n = 72) from an engineering college in the same city run by the same administration and providing similar academic and hostel facilities were sampled for comparison. Approval was taken from the administration in both the colleges; informed consent was obtained from the students, and the study was approved by the Institutional Ethics Committee at the medical college. The primary hypothesis is that educational stress increases from 1st to the 4th year of college and is associated with increase in psychological morbidity.

The students were administered the following set of psychometric scales:

Demographic questionnaire

It consisted of a number of questions pertaining to the individual's personal sphere as well as his family. It also enquired about the habits pertaining to substance use in the family, history of psychiatric and physical illnesses, recent demise in the family or the social circle, interpersonal relationships, and certain concerns of the individual regarding his stay in the college (measured on a Likert scale).

Self Rating Depression Scale of Zung

The Zung's self-rating depression scale (SDS) used to screen adults for the potential presence of depressive disorders,[19] consisting of 20 questions comprising of 10 symptomatically negative and a similar number of positive questions based on a Likert scale scored from 1 to 4. The cutoff Zung's SDS index for possible depressive disorders used in this study is 50.

Self Rating Anxiety Scale of Zung

The Zung's Self-Rating Anxiety scale (SAS)[20] is a self-rating scale used to screen adults for the potential presence of anxiety disorders consisting of twenty questions related to the frequency of various symptoms. The cutoff SAS index for possible anxiety disorders used in this study is 45.

Rhode Island Stress and Coping Inventory

The Rhode Island Stress and Coping Inventory (RISCI)[21] is a measure for examining perceived stress and coping independent of specific stress situations. It consists of 12 items evaluated on a Likert scale measured from 0 to 5 containing 7 items to measure stress and 5 items for coping.

Higher Education Stress Inventory

The Higher Education Stress Inventory (HESI)[3] is an inventory to measure the stress of higher education among students. The HESI is designed to capture a wide variety of stressful aspects and is applicable within different higher educational settings. It comprises 33 statements indicating the presence or absence of stressful aspects, to be rated on a 4-point Likert scale.

Michigan Alcohol Screening Test

The Michigan Alcohol Screening Test (MAST)[22] is a 25-item screening instrument designed to identify and assess alcohol abuse and dependence. The optimal cutoff for the MAST is 13, however, a lower cut off of >5 has been used in this study to identify harmful drinking.

Nicotine Dependence Syndrome Scale

The Nicotine Dependence Syndrome Scale (NDSS)[23] is a multifactorial instrument to assess tobacco dependence. The 19-item scale is evaluated on a Likert scale with values ranging from 1 to 5 capturing the essential elements of excessive tobacco use. A cutoff score of 40 was used for assessing possible nicotine dependence.

Drug Abuse Screening Test

The Drug Abuse Screening Test (DAST)[24] is a standard screening test for drug use comprising of 28 questions to be answered as Yes or No. A score of >5 indicates a drug problem.

Statistical analysis

Data were tested for normality. The qualitative data were evaluated using the Chi-square test, whereas the quantitative data were tested using parametric tests. Linear regression was used to test the primary hypothesis. Statistical analysis was carried out using R version 3.5.0. Level of significance was kept at P < 0.05.


   Results Top


The demographics of the sample population are tabulated in Tables 1–3. The medical students scored higher marks in Class 10th (χ2= −8.3, P < 0.01) and 12th (χ2= −5.2, P < 0.01), and their parents were also more educated than those in the engineering stream (P < 0.01) [Table 1]. With respect to substance, more number of fathers in the engineering cohort consumed alcohol than the medical students (Z = −4.32, P < 0.01). Within the medical stream, more number of 1st year had scored higher than the 4th year in Classes 10th (χ2 = 3.42, P < 0.01) and 12th (χ2 = 2.66, P < 0.01). Furthermore, parents of the 1st year were more educated and had higher income than those of the 4th year [Table 2]. Furthermore, more number of fathers and siblings of 4th year students consumed alcohol than among the 1st year. Within the engineering stream [Table 3], the students were similar in most respects, except father's education where more number fathers of 4th year were postgraduates and alcohol use in father where 1st year had more number of fathers with alcohol use.
Table 1: Demographic variation between the engineering and medical streams

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Table 2: Demographic variation between the 1st and 4th year medical students

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Table 3: Demographic variation between the 1st and 4th year engineering students

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Medical students had significantly higher concerns about the standards of academic achievement and teaching as compared to the engineering students. Among the 1st year, medical students had significantly higher concerns related to achievement in academic attainment, living and teaching standards than the engineering students. However, this difference was not seen among the students of the 4th year of either stream except for concerns in standards of teaching which were seen to be more among the medical students.

Intragroup analysis of the medical students revealed that 4th year medical students had significantly higher concerns about academic (Z = −3.21, P < 0.01), living (Z = −1.99, P < 0.01), eating (Z = −3.69, P < 0.01), and hostel issues (Z = −2.71, P < 0.01) compared to the 1st year students.

The prevalence of psychiatric morbidity among the undergraduates is tabulated in [Table 4], [Table 5], [Table 6]. Overall, the students in either stream did not differ on scores of SDS, SAS, NDSS, and DAST. The medical students scored higher on both SDS and SAS scales in the senior years than their counterparts in the engineering stream. Intragroup analysis of the medical students showed that the level of anxiety increased significantly among the 4th year medical students than the 1st year [Table 6]. Intragroup analysis of engineering students [Table 7] revealed no significant difference in psychological morbidity between the 1st and 4th year.
Table 4: Prevalence of psychological morbidity among the undergraduates

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Table 5: Comparison of psychological morbidity between engineering and medical students

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Table 6: Comparison of psychological morbidity among 1st year versus 4th year medical students

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Table 7: Comparison of psychological morbidity among 1st year versus 4th year engineering students

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Overall, medical students had significantly higher social (t = −3.1, P < 0.01) and psychological stress (t = −3.3, P < 0.01), but no difference was detected in educational stress (t = −1.4, P > 0.05) [Table 5]. Among the 1st year, medical students had significantly higher social stress (t = −3.3, P < 0.01) than the engineering students, but no difference was detected in the psychological and educational stress. Among the 4th year, the medical students had significantly higher psychological (t = −6.3, P < 0.01) and educational stress (t = −3.7, P < 0.01) than the engineering students, but no difference was noted in the social stress. Furthermore, 4th year medical students had significantly higher perceived psychological stress (t = −9.4, P < 0.01) and educational stress (t = −5.0, P < 0.01) compared to 1st year students [Table 6]. Within the engineering stream, the students scored more on social stress, whereas RISCI stress score and educational stress were not significantly different.

Correlations were tested among the scores of stress, depression, anxiety, and substance use that revealed that the psychological stress scores [Table 8] correlated positively with the scores on SDS (r = 0.44), SAS (r = 0.51), RISCI (stress component) (r = 0.27), and HESI (r = 0.47). The psychological stress scores correlated negatively with the tobacco use (r = −0.17) and drug use scores (−0.19). Similarly, the educational stress scores also correlated positively with the SDS and SAS scores but not with the substance use scores. Among the 4th year students [Table 9], the psychological stress showed higher positive correlation with the scores on SDS (r = 0.52), SAS (r = 0.59), and higher negative correlation with the MAST (r = −0.26), NDSS (r = −0.24), and DAST scores (r = −0.21). Educational stress also correlated positively with scores of SDS (r = 0.27) and SAS (r = 0.37), but correlation was not significant for substance use scores.
Table 8: Correlations between stress, psychological morbidity, and substance use in the total sample (n=347)

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Table 9: Correlations between stress, psychological morbidity and substance use among 4th year students of both streams (n=166)

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A linear regression [Table 10] was performed to examine the predictors for alcohol use and the predictor variables used were age, gender, family history of depression or suicide, substance use in the father and scores of psychological stress, educational stress, depression, and anxiety. At the end of model 8, both psychological stress and educational stress were found to be significant predictors of alcohol use.
Table 10: Linear regression to examine the predictors of alcohol use in the total sample (n=347)

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   Discussion Top


Demographics

The students in both the engineering and the medical streams were similar with respect to the age gender, urbanicity, socioeconomic status, however, differed slightly in the education of the parents which was higher in the medical cohort. Furthermore, the medical students had scored more at the board examinations in the 11th and 12th standards. The demographic questionnaire also enquired about recent negative events in the form of recent loss of a family member, friend or failures at school that were not found to be significantly different between the four groups.

Psychiatric morbidity

A large number of studies have found the prevalence of depression ranging from 8.7% to 71.3% among medical students.[10] Our study found that 30.5% students suffered from depression (SDS index score >40) [Table 3]. Among the medical students, more number of 4th year students (36.2%) was depressed than the 1st year (26.9%); however, the findings were not statistically significant. No gender or familial differences were found. A number of studies have found anxiety levels in the medical students to be higher than the general population.[25],[26] The present study found that almost 15.3% students had significant levels of anxiety (SAS score >45) [Table 3]. Fourth-year medical students had a significantly higher level of anxiety than the 1st year.

Studies have found that a significant number of students use alcohol, with the prevalence ranging from 19.13%[18] to 41.46%[27] and 0%–17% use tobacco.[16] The most common illicit drug being used was cannabis[16] (4%–11.8%). Our study noted that the prevalence of “problem drinking” was around 31.7%, whereas 14.4% used tobacco and 6.3% used some drug in the college, the most common being recreational use of cannabis [Table 3]. These figures are comparative to those published in other studies. The substance use was significantly less among the females with only 9/45 females among the medical students admitting to substance use (alcohol – 5, tobacco – 2, drugs [cannabis] – 2). The engineering students had a significantly higher use of alcohol than medical students (that may be attributed to genetic influence and parental modeling). Among the medical students, substance use was not significantly different.

Stress and coping

A more nuanced interpretation of stress among students was measured using the various scales and questionnaires. First were about the different concerns of the students regarding their expectations from the college and the reality. These concerns ranged from academic to financial concerns, concerns about the family, hostel, living and eating standards in the hostel and were measured on a Likert scale. Second, psychological stress and coping were measured by the RISCI scale, and third, stress specific to higher education was measured using the HESI. Among medical students, the concerns about finances, difficulty in studying, unsupportive learning environment, work load, and time management challenges have been found to impact the students and have been brought out as major stressors apart from the educational stress with higher levels of dysfunctional coping.[28],[29],[30],[31],[32] In the current study, medical students had major concerns related to academics and teaching standards that gave way to psychological and educational stress by the 4th year indicating the way priorities change over the course of the curriculum. Furthermore, within the same course, medical students accumulated stress over the period of 4 years that led to dysfunctional coping in the form of overt psychopathology [Table 6]. Furthermore, 4th year students had more dysfunctional coping (Z = −2.25, P < 0.05) than the 1st year. On the other hand, among engineering students, 1st year perceived more psychological stress (RISCI stress score); however, other variables did not differ. On measures of coping, it was noted that the medical and engineering students did not differ. The important derivation from the above findings is that medical students are indeed stressed out. The levels of stress are significant in the final years of college and are much more than observed in the other technical college.

Pearson's correlation coefficients were generated to examine the relationship between stress, psychopathology, and substance use. As was expected, stress, both psychological and educational was found to be positively correlated with depression [Figure 1] and anxiety [Figure 2]. The surprising finding was that stress correlated negatively with the substance use scores. This may be explained by the fact that substance users do experience a temporary well-being that may be associated with drug use. A similar picture was noted when correlations were tested within the medical students cohort. Since educational stress was not associated with substance use, perhaps, substance use takes a different pathway through increased psychological stress that may involve relationships with peers, family and teachers and other concerns. The linear regression examined the predictors of alcohol use from a host of factors. At the end of the model, two factors remained significant, psychological and educational stress. The two have been examined separately based on different scales that have been used; however, there may be a lot of overlap between the two.
Figure 1: Graph showing correlation between educational stress and depression scores

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Figure 2: Graph showing correlation between educational stress and anxiety scores

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The findings of the study confirm that the psychological morbidity and educational stress is much more common among medical students, and it is higher than in engineering students. Furthermore, the psychological morbidity and educational stress are higher among final year students than 1st year. This psychological morbidity leads to dysfunctional coping with temporary alleviation in stress perception with the use of substances which could later vitiate the cycle of increasing morbidity.

The strength of the study was in the sample size (347) and the comparison of medical students with students of another professional college. The main limitation of the study was that, being a cross-sectional study, it could only get a snapshot of the psychological stress and morbidity among the undergraduates. Furthermore, in the absence of a clinical interview by a mental health professional, the scores of depression and anxiety indicate possible psychological morbidity but do not confirm the diagnosis. Early childhood adversity and temperamental factors have not been included in the study that may be major confounding variables. Furthermore, it has been presumed that the environment may be similar in the two colleges which may be a major limiting factor. A follow-up of these students when they graduate from medical school may help in assessing the impact of educational stress on their psychological health in the long term.


   Conclusion Top


A number of studies have been conducted in the last few decades that showed that medical students do have high educational stress and psychological morbidity. The peculiarity of the present study is that it not only evaluated stress and morbidity among the medical students, but it also compared it with students in a similar scenario except the differences in kind of education imparted and the socio-developmental trajectories therein. The study confirms the fact that medical students have higher levels of educational stress which is associated with psychological morbidity and substance abuse. Psychoactive substances were possibly being used as a measure to alleviate psychological stress which is again a form of dysfunctional coping. In light of the above results, the current mental health scenario needs a relook at the stress busting interventions in place. There is an urgent need for revision in existing protocols within medical schools to periodically evaluate mental health status along with targeted activities to reduce psychiatric morbidity through primary and secondary prevention that may go a long way in alleviating stress among the healers of the society.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
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    Figures

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    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8], [Table 9], [Table 10]



 

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